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2008 Commits

Author SHA1 Message Date
matlabbe
d284cd11cf Updated package.xml version to 0.20.14 2021-09-30 10:14:24 -04:00
matlabbe
467ea42981 OdometryFLOAM: fixed published local scan map local transform 2021-09-30 10:05:56 -04:00
matlabbe
77d947d4fb Fixed FLOAM not working when local transform is not Identity. DBViewer: warn user when scan from dpeth is checked and there are no depth images in db. 2021-09-30 09:53:50 -04:00
matlabbe
533d78d570 Fixed OdometryOpenVINS build errors with latest OpenVINS code. 2021-09-28 17:12:08 -04:00
matlabbe
aee034c5ed Update CMakeLists.txt
Setting WITH_FLOAM to OFF by default because floam binaries (this [version](https://github.com/flynneva/floam)) in ros is not compatible.
2021-09-27 20:20:11 -04:00
matlabbe
0092e15cd7 Update docker.yml 2021-09-27 20:04:12 -04:00
matlabbe
23d9e0e4bb Docker: updated bionic/focal's geogram patch 2021-09-27 19:48:18 -04:00
matlabbe
8c56b5b1ce CMake: added WITH_OPENMP option (to be able to disable it). CameraOpenNI2: Added depth decimation parameter. CLAMS: can apply distortion model to smaller images. 2021-09-24 17:31:16 -04:00
matlabbe
bccc5b13af FLOAM: added some debug logs 2021-09-24 11:32:25 -04:00
matlabbe
5f65618d40 Added OdomLOAM/Resolution parameter 2021-09-22 10:48:59 -04:00
matlabbe
cff0d15460 Fixed "wrong scan number" error when OdomLOAM/Sensor is 0 (VLP16) 2021-09-22 10:06:34 -04:00
matlabbe
b6671f4d8c workflow/docker: added CACHE_DATE to android builds to avoid caching rtabmap build 2021-09-20 16:02:37 -04:00
matlabbe
9db66600b3 workflow: added android23 docker image 2021-09-20 15:46:14 -04:00
matlabbe
67cd4b69c1 workflow: updated docker tags / cache var 2021-09-20 13:34:30 -04:00
matlabbe
cffb7981b6 docker: fixed bionic build with latest alicevision (cmake>=3.11 required) 2021-09-20 12:32:51 -04:00
matlabbe
71ffd922ed workflow: fixed typo 2021-09-20 11:37:58 -04:00
matlabbe
870467393b workflow: add docker buildcache 2021-09-20 11:33:19 -04:00
matlabbe
79f203a2c4 docker workflow: fixed build matrix 2021-09-20 11:16:12 -04:00
matlabbe
baa5b638ae Added "docker" workflow 2021-09-20 11:11:21 -04:00
matlabbe
8f12463f71 Docker: upgraded alicevision version 2.4.0 in bionic/focal images 2021-09-19 20:42:56 -04:00
matlabbe
14b56813d3 Updated for AliceVision >=2.4.0 compatibility. Export: added --multiband_contrib option. 2021-09-19 20:20:45 -04:00
matlabbe
44b057b0d7 DbViewer: fixed icp from depth option not used when refining or adding loop closures automaticaly 2021-09-13 15:59:19 -04:00
matlabbe
a901f20d06 0.20.14: added globalBundleAdjustment CLI, added Rtabmap/Memory::cleanupLocalGrids function, init with optimizedPoses from db even in mapping mode, reprocess: added -db option to save optimized 2d grid in database. 2021-09-11 11:35:43 -04:00
matlabbe
3ba02d2ef6 Added OdometryFLOAM (Odom/Strategy=11) 2021-09-09 17:38:54 -04:00
matlabbe
263e0170f1 export: refactored ba (to support stereo data) 2021-09-09 14:22:02 -04:00
matlabbe
e017a0fcf4 DbViewer: fixed initial rootid with older databases, fixed RGBD/OptimizeFromGraphEnd not correctly used. 2021-09-08 18:13:20 -04:00
matlabbe
103db3181b Update README.md 2021-09-08 17:13:13 -04:00
matlabbe
bc253df24a Update README.md 2021-09-08 17:11:34 -04:00
matlabbe
544ea9dff2 Update cmake.yml 2021-09-08 13:31:00 -04:00
matlabbe
09c2c4bbcb Removed travis config, now use Github actions (see .github/workflows/cmake.yml) fixed #768 2021-09-08 12:09:59 -04:00
matlabbe
c209cf1c9b Update cmake.yml
Added info after build
2021-09-08 12:06:14 -04:00
matlabbe
202d59b408 Update cmake.yml
Added ros setup.bash before cmake
2021-09-08 11:59:04 -04:00
matlabbe
9671daf9c3 Update cmake.yml 2021-09-08 11:53:13 -04:00
matlabbe
b5518ff618 Update cmake.yml 2021-09-08 11:46:29 -04:00
matlabbe
2111b6497b Update cmake.yml
use setup-ros action
2021-09-08 11:37:03 -04:00
matlabbe
b51b2525a5 Added Github actions for melodic/focal 2021-09-08 11:24:11 -04:00
matlabbe
45d51808e3 💄 2021-09-08 09:38:16 -04:00
matlabbe
bc39b19517 projectCloudToCamerasImpl: fixed bug using wrong camera models 2021-09-08 09:34:21 -04:00
matlabbe
7baedf4c72 texturing: remove assert when poses and models are not the same size (just ignore poses without models, intermediate nodes issue) 2021-09-07 16:26:56 -04:00
matlabbe
20361400e1 export: output intensity channel with RGB when --cam_projection and --scan options are set (PDAL required) 2021-09-07 15:57:23 -04:00
matlabbe
c43118cde8 Fixed F2F-Optical flow not creating keyframes bug 2021-09-03 15:33:22 -04:00
matlabbe
371a3ef851 fixed CleanupLocalGrids install target 2021-09-01 10:23:45 -04:00
matlabbe
daefc5ff54 Added rtabmap-cleanupLocalGrids CLI 2021-08-28 22:19:59 -04:00
matlabbe
b932da6dcf DbViewer: Adjusted GraphView's root id based on latest valid node on initialization 2021-08-28 20:23:44 -04:00
matlabbe
f88ce1618b OdometryORBSLAM3: fixed re-initilisation of camera parameters when restarting camera with different config. 2021-08-26 15:34:48 -04:00
matlabbe
c5e4d67f80 export: don't assert if gain is zero (means disabled) 2021-08-16 20:27:31 -04:00
matlabbe
ed68fe777b Added more options for multiband texturing 2021-08-16 13:14:02 -04:00
matlabbe
6fb553a5e7 Update README.md 2021-08-13 14:46:56 -04:00
matlabbe
db00e04cc1 rtabmap-info: updated to show parameters not in the database. 2021-08-12 10:55:08 -04:00
matlabbe
eeecb21793 export tool: added --camera_projection_keep_all option 2021-08-03 13:46:39 -04:00
matlabbe
a5685c3e31 Fixed build without DepthAI dep 2021-07-28 17:05:16 -04:00
matlabbe
138d4aa1be If RGBD/LoopClosureReextractFeatures=true, don't save raw features (3d point, descriptor) to Feature table. 2021-07-28 14:32:32 -04:00
matlabbe
79d2b3fade Merge branch 'master' of https://github.com/introlab/rtabmap 2021-07-28 14:19:49 -04:00
matlabbe
32bf0f9d61 Fixed CameraDepthAI with latest depthai version (using now camera eeprom calibration and added imu support) 2021-07-28 14:19:30 -04:00
matlabbe
22a771e29c trigger travis.com 2021-07-20 14:09:40 -04:00
matlabbe
17d8a92614 Update README.md 2021-07-20 12:58:42 -04:00
matlabbe
a91cd0c659 Update README.md 2021-07-20 12:58:16 -04:00
matlabbe
ae92ec40d7 Fixed build with LOAM dependency 2021-07-14 13:22:47 -04:00
matlabbe
7338cb8a85 Localization: fixed initial graph optimization root id (based on RGBD/OptimizeFromGraphEnd) when optimized graph is not saved in db. 2021-07-09 14:57:15 -04:00
matlabbe
456560b9e4 DBViewer/Extract Images: export calibration for each image, also now export multi-camera calibrations. 2021-07-07 12:21:57 -04:00
matlabbe
f9257beeb8 export: updated default poses format (11) 2021-07-05 12:58:24 -04:00
matlabbe
485bf806bd export tool: use pcl's PLY writer instead of pdal if camera ids are not exported (ply compatibility issue when reading back using pcl) 2021-07-05 10:04:51 -04:00
matlabbe
68ae3b76af export: updated to export calibration for every files (to support auto-focus cameras). Added output_dir option. 2021-07-05 09:46:12 -04:00
matlabbe
05d45872f3 DBReader: publish landmarks by default (also added option to ignore them) 2021-06-29 16:03:21 -04:00
matlabbe
3da4bb9faa For Icp/DebugExportFormat and RGBD/ProximityGlobalScanMap, use Rtabmap/WorkingDirectory as output directory for debugging files. 2021-06-27 20:37:42 -04:00
matlabbe
a921d615c5 0.20.13: templated laserScanFromPointCloud() version with PCLPointCloud2 to be also used with sensor_msgs/PointCloud2 class (for rtabmap_ros). 2021-06-27 20:07:00 -04:00
matlabbe
2b9ae3a2ad Added Icp/DebugExportFormat parameter 2021-06-26 16:06:25 -04:00
matlabbe
1a64e05e2f fixed code merged 2021-06-26 13:47:49 -04:00
matlabbe
350f995ee9 merged master to scan_map branch 2021-06-25 16:38:03 -04:00
matlabbe
eabf3e3d57 Decimation parameters for feature detection cannot be negative anymore (always done based to RGB image and depth image is decimated only if it is bigger than decimated rgb image). MainWindow: fixed light blue screen-only on full rehearsal merge. 2021-06-25 12:54:52 -04:00
matlabbe
be24203840 iOS: added toast info on rejected loop closures 2021-06-24 22:39:25 -04:00
matlabbe
48ebf969bd OdometryInfo: fixed IcpRMS not copied in copyWithoutData() 2021-06-24 22:38:19 -04:00
matlabbe
656618ccb7 Merge branch 'master' of https://github.com/introlab/rtabmap into scan_map 2021-06-24 19:53:23 -04:00
matlabbe
f5ab422c42 Odom: when odom is auto reset, reprocess the latest image and return its pose 2021-06-24 13:41:38 -04:00
matlabbe
5a676e9032 Fixed negative Odom/ImageDecimation not handled 2021-06-24 12:44:18 -04:00
matlabbe
11e9837b82 Added RGBD/ProximityGlobalScanMap for proximity detection using the whole scan map in localization mode. Added Icp RMS statistics (CCCorelib). Updated how localization is corrected with gravity when available (simply use roll and pitch of current gravity constraint). 2021-06-23 17:13:07 -04:00
matlabbe
dddf6378ae MainWindow: fixed currentVisiblePosesMap 2021-06-22 08:16:39 -04:00
matlabbe
5167927d01 report: added --ignore_inter_nodes option. CloudViewer: set max absolute scan intensity to 100 (was 0=auto). reprocess/replay db: ignore intermediate nodes if Rtabmap/CreateIntermediateNodes is false. 2021-06-21 17:23:53 -04:00
matlabbe
f475f2d21c 0.20.12: iOS/android sync 2021-06-21 10:07:30 -04:00
matlabbe
9fccb8703a Merge branch 'master' of https://github.com/introlab/rtabmap into ios 2021-06-21 09:41:11 -04:00
matlabbe
62b5f13dd8 MainWindow: added currentVisiblePosesMap() 2021-06-20 23:05:24 -04:00
matlabbe
b8c22e1c99 Fixed pcl::voxelGrid filtering crash on Windows (latest PCL, eigen allocation issue) 2021-06-18 16:02:17 -04:00
matlabbe
d75cc04ad2 CloudViewer: fixed opengl not refreshed on update (VTK9). Fixed File Explorer hanging (Qt 5.12). Fixed backup database not deleted after a recovery. 2021-06-18 12:43:08 -04:00
Charles Maillette
8d2dbe32c4 Added libpdal to rtabmap docker build for focal (#735) 2021-06-17 15:36:28 -04:00
matlabbe
a9d4fc9291 Refactored Tango and ARCore texture management. Tango: added support with First-person AR mode. ARCoreJava: Added localization filtering speed option (avoid ARCore jumps), also manage when ARCore is lost (new session is created, relocalization needed to continue mapping). 2021-06-15 20:45:45 -04:00
matlabbe
696216b35b Fixed occlusion image origin offset (iOS and android). Android: disabled maximum odom image rate for faster feedback in First-Person. Min/Max range parameters also filter scans. Fixed background renderer not showing image (ARCore Java driver). 2021-06-13 22:07:47 -04:00
matlabbe
6342658ec5 iOS: fixed origin when we do New Scan while we were already mapping, improved FPV feedback in point cloud mode, showing camera overlay in visualization mode (pinch out to disable). Localization mode: Updated how marker detection transform are modified by gravity constraints. 2021-06-12 12:42:56 -04:00
matlabbe
3f633081cb iOS: improved feedback in first-person mapping mode (red background), fixed not matching camera overlay with 3D model, updated how memory usage is computed. 2021-06-11 21:41:59 -04:00
matlabbe
a6f3a81999 fixed ios build 2021-06-11 10:20:07 -04:00
matlabbe
3e3d4142fc RGBD/OptimizeMaxError default to 1 for mobile apps. iOS: increased Kp/MaxFeatures to 400 (was 200). 2021-06-11 09:29:37 -04:00
matlabbe
0a37d01d1d ios/android: Updated default MaxOptimizeError to 1.5x 2021-06-10 11:27:53 -04:00
matlabbe
ba38d9f321 Added depth/rgb registration option 2021-06-10 11:07:25 -04:00
matlabbe
d7b5fa5d17 fixed android build 2021-06-09 17:45:01 -04:00
matlabbe
766301b175 fixed desktop build 2021-06-09 11:25:01 -04:00
matlabbe
289d4afd76 ios first release 2021-06-08 00:06:49 -04:00
matlabbe
630cb6a59f Odometry: when "Rtabmap/ImagesAlreadyRectified" is false and odometry strategy doesn't support raw images, added rectification for RGB-D data (only rgb rectified though) for convenience. 2021-06-01 14:33:17 -04:00
matlabbe
12c46286f6 CameraRealSense2: added support for device id like D435, t265, L515, d435i, d415 for convenience (if we have multiple D435, we still need to use on of the serials shown in log info when starting the driver) 2021-06-01 11:40:46 -04:00
matlabbe
c9dbe6205d Docker: added nvidia drvier embedding examples for convenience 2021-05-30 14:21:17 -04:00
chameau5050
f94f9cbb9b improve flood fill and move it to update function (#727)
* add flood fill filter

* change to use unordoned_multiset

* remove recursivity in flood fill and move the flood fill into the update

* Refactoring of OctoMap constructors (keeping only one). Simplified floodfill parameters to only one and added it to UI.

* Fixed ray tracing not done in local 3D maps (OctoMap)

Co-authored-by: MarcLeclercGit <marcantoine.leclerc96@gmail.com>
Co-authored-by: matlabbe <matlabbe@gmail.com>
2021-05-30 10:12:07 -04:00
matlabbe
b7c2f6801b unknownSpaceFilled: refactored approach to fix the case of 360 scan with first ray y>=0 (turtlebot3 sim). 2021-05-27 18:19:34 -04:00
matlabbe
8b1b874bf3 Statistics: added LoopOptimization_max_ang_error stats 2021-05-27 13:00:29 -04:00
matlabbe
127a41a53e MainWindow::createCamera() fixed parameters not passed by reference 2021-05-26 21:13:14 -04:00
matlabbe
c1492533c3 OctoMap: fixed empty cells not all added to global occupancy grid 2021-05-26 16:27:49 -04:00
matlabbe
ada3e75005 Camera class: localTransform parameter should not have optical rotation anymore (it is added afterwards in the constructor). OdomSensor: the extrinsics should not contain optical rotation anymore. These 2 changes make it more convenient to set transfomation parameters in the UI. MainWindow::createCamera() now has odomSensor argument for convenience (for inherited classes to set both camera and odom sensor in the same function). 2021-05-26 13:40:46 -04:00
matlabbe
21dbeed4b7 Odom sensor option (#726)
* Added Odom Sensor option

* Odom Sensor: Added pose time offset parameter

* Gui: fixed odom cloud not shown when rgb/depth doesn't have same size. Odom sensor: fixed rawImages set on non-stereo camera (because stereoRectify wrongly set to all cameras)

* Calibration: fixed rgb and depth suffixes not correctly set. OpenNI2: horizontal and vertical shifts can be also set for default calib.

* Fixed a warning

* OdomSensor: added option to use odom sensor output as ground truth (for comparison between odom sensor and rtabmap odom). Added scale factor option.

* FindG2O.cmake: updated path suffixes to find EXTERNAL csparse

* Pose3GravityFactor: fixed dllimport error on windows

* UI: Statistics panel not updated if not visible and keep stats in cache is unchecked. Added description to some timing debug logs in processStatistics().

* Removed vtkOutputWindow on Windows

* Odom Sensor: added zed sdk support

* bump version 0.20.11
2021-05-23 17:21:12 -04:00
matlabbe
fe896260c5 commonFiltering(): warn when normals could not be computed (returned all NaNs) 2021-05-16 11:58:17 -04:00
matlabbe
56bc15d7cd MainWindow: fixed bg color not shown on loop closures when only scans are used. 2021-05-16 11:15:05 -04:00
matlabbe
e9d7fcd7ae Vtk9 support (#722)
* Fixed build with VTK9

* Fixed VTK9 build with OctoMap dependency (vtkRenderingVolumeOpenGL2 missing)
2021-05-15 19:43:47 -04:00
matlabbe
8c336e1e39 Voxel filter: added support for very large clouds. Gui/Export: added footprint filtering option. Moved all filtering options under Cloud Filtering group. 2021-05-14 21:02:09 -04:00
matlabbe
4390cb6428 calibration tool: added RealSense2 T265 support 2021-05-12 18:31:41 -04:00
matlabbe
20c2e8b5be Docker: updated libpointmatcher version in bionic/focal images (https://github.com/introlab/rtabmap/issues/720) 2021-05-12 14:01:26 -04:00
matlabbe
ad8b2301d8 Docker/focal: fixed alicevision patch corrupted (no newline) 2021-05-12 11:27:26 -04:00
matlabbe
d75f9524f3 Export: added --texture_depth_error option 2021-05-12 10:56:16 -04:00
matlabbe
aedc70218b Docker: added AliceVision dependency to focal image 2021-05-12 10:38:37 -04:00
matlabbe
a11492943a Export CLI: added print info for coloring mesh step 2021-05-10 15:19:48 -04:00
matlabbe
854a52c6a5 Export CLI: added noise_radius and noise_k options to filter noise 2021-05-10 14:45:35 -04:00
chameau5050
b4f11e18f3 add flood fill filter (#714)
* add flood fill filter

* change to use unordoned_multiset

Co-authored-by: MarcLeclercGit <marcantoine.leclerc96@gmail.com>
2021-05-07 17:05:01 -04:00
matlabbe
6449302318 appveyor: added opencv 4.5.0 binaries with opencv_contrib 2021-05-02 21:41:48 -04:00
matlabbe
3623ede989 Update .appveyor.yml 2021-05-02 20:37:45 -04:00
matlabbe
0e051a16a0 Update .appveyor.yml 2021-05-02 20:00:16 -04:00
matlabbe
c88e3d0a8b Update .appveyor.yml 2021-05-02 19:55:57 -04:00
matlabbe
ff956a725e Fixed "localization won't be corrected with gravity" warning in localization mode and imu data are not used (while Optimizer/GravitySigma>0) 2021-05-02 19:42:59 -04:00
matlabbe
40ab98a814 docker-focal: cleanup downloaded k4a binaries 2021-05-02 13:30:57 -04:00
matlabbe
f02efb5836 docker-focal: added libfreenect2, k4a, realsense2, zed open capture support (#673) 2021-05-02 13:17:53 -04:00
matlabbe
0764999f22 Fixed focal docker image with gtsam (#673) 2021-05-02 11:59:36 -04:00
matlabbe
7515556444 Update LICENSE 2021-04-23 20:42:39 -04:00
matlabbe
3b7c6cd1f4 DBViewer: added camera projection on scan option (GUI params). Fixed some deprecated warnings. 2021-04-19 18:14:20 -04:00
matlabbe
93bfad626e Update .travis.yml
Removed deprecated trusty build from travis (https://travis-ci.org/github/introlab/rtabmap/jobs/766950721)
2021-04-14 13:12:31 -04:00
matlabbe
2fcef88016 Export: added --poses_format option (default 10=RGBD-SLAM format). Added new pose format 11=RGBD-SLAM + ID. 2021-04-13 15:49:04 -04:00
matlabbe
f4207979ad Export: fixed calibration not exported if camera name is not set. For multi-camera, added index suffix to yaml. 2021-04-09 16:20:08 -04:00
matlabbe
b92f55be43 Export tool: added multi-camera support when exporting camera poses 2021-04-08 10:23:38 -04:00
matlabbe
a8f0abf892 MainWindow::processOdometry() rectify images if Rtabmap/ImagesAlreadyRectified is false. 2021-04-02 19:06:03 -04:00
matlabbe
54267b1b33 Preferences: fixed backward compatibility error "Conversion failed from true for parameter Icp/Strategy" when loading old database with Icp/PM 2021-03-31 12:02:56 -04:00
matlabbe
4c1e72d82e Added OpenVINS minimal support (tested with EuRoC dataset) 2021-03-28 23:51:02 -04:00
matlabbe
a58ec494d1 icpCC: when force3DoF is true, set z to 0 in data conversion 2021-03-28 09:28:55 -04:00
matlabbe
69735b6271 Added removeNaNFromPointCloud for PCLPointCloud2 type 2021-03-28 00:15:47 -04:00
matlabbe
d002711f21 reprocess tool: Updated usage description to upgrade db version 2021-03-27 16:21:52 -04:00
matlabbe
06e85e140c Refactored RegistrationIcp: libpointmatcher yaml config usage / integrated CCCoreLib (#704)
* Refactored RegistrationIcp so that libpointmatcher yaml can work with icp odometry (we can then avoid refiltering data with local map of F2M). All data filtering (including libpointmatcher DataFilters) are done at the beginning of the function.

* ICP: Restored ref and data scans order for libpointmatcher (seems more stable this way).

* Fixed compilation error without libpointmatcher

* CCCoreLib integration (Icp/Strategy=2). Icp/PMForce4DoF is now Icp/Force4DoF. Icp/PM is now Icp/Strategy. Icp/PMOutlierRatio is now Icp/OutlierRatio.

* Fixed build without CCCoreLib

* Cleanup RegistrationIcp from third party functions.

* Preferences: disable libpointmatcher and cccorlib options if not available
2021-03-27 15:11:20 -04:00
matlabbe
c4d127cae4 Export: added more options for pose format and image file name. 2021-03-21 19:05:24 -04:00
matlabbe
21737f9937 Added description fo RGBD/Enabled parameter 2021-03-17 23:58:12 -04:00
matlabbe
ccc519ec58 Export: added --output name option. 2021-03-13 20:58:10 -05:00
matlabbe
1e4b172a7d Export: added poisson polygon size option 2021-03-13 19:01:09 -05:00
matlabbe
752509fb15 Rtabmap::detectMoreLoopClosures: added clusterRadiusMin parameter and update optimized poses after each accepted loop closure (also in MainWindow) like in DbViewer. Added graph::computeMinMax(poses). OdometryInfo: added guess transform. Export: added min/max axis ranges to filter nodes before expoting clouds. 2021-03-13 18:42:13 -05:00
matlabbe
f6e17be2b4 Added ViewPlane XY, XZ and YZ options to GraphViewer
Parameter RGBD/SavedLocalizationIgnored now called RGBD/StartAtOrigin (updated description, used only in localization mode)
IcpReg: if Force4DoF, set lower covariance values for roll and pitch
DbViewer: updated detectMoreLoopClosures with new minRadius option and update optimized poses between each new accepted loop closures.
MainWindow: suppressed warning if depth image is not found in current node data (when rgb is).
3D Map view: changed default map point size to 1 (was 2)
2021-03-12 17:47:36 -05:00
matlabbe
da2e2f810c Updated images 2021-03-09 17:48:40 -05:00
matlabbe
5b44c557b3 Update README.md 2021-03-09 17:44:39 -05:00
matlabbe
600d68932d updated images 2021-03-09 17:43:27 -05:00
matlabbe
800d087b07 Added archive directory to put paper related scripts 2021-03-09 17:08:42 -05:00
matlabbe
db43479e44 Added ORB_SLAM3 support. IMU Filter: added base frame conversion option. (#698)
Referred issues:
#655
https://github.com/introlab/rtabmap_ros/issues/492

Note: IMU not supported yet with ORB_SLAM3.

Commits:
* Added orbslam3 support. UI-Source->IMU filtering: Added base frame conversion option of IMU data to uniformize yaw initialization. Madgwick: fixed yaw initialization accordingly to Z acc.

* fixed regression build error with ORB_SLAM2

* Renamed OdometryORBSLAM2 to OdometryORBSLAM (can be 2 or 3 now)
2021-03-09 16:00:41 -05:00
matlabbe
736c8aceae Export tool: show an error if file doesn't exist 2021-03-09 14:06:33 -05:00
matlabbe
351c659beb Integrated DepthAI (gen2) (#696)
* Added OAK-D camera support (DepthAI)

* Fixed build without DepthAI dependency

* Added minimum version 2 for depthai

* fixed trusty build
2021-03-07 12:27:21 -05:00
matlabbe
ab8f0e2b34 Fixed #695 (footprint not cleared correctly when GridGlobal/OccupancyThr>0) 2021-03-05 18:35:49 -05:00
matlabbe
4f46d8e904 Updated some RGBD/Proximity**** parameter descriptions. Added parameter RGBD/LoopClosureIdentityGuess. Fixed local map cleared in localization when RGBD/SavedLocalizationIgnored is true (should then assume it is starting from origin). 2021-03-04 11:26:35 -05:00
matlabbe
98c69c4578 Fixed Force4DoF param not used exception on older libpointmatcher versions 2021-03-02 17:27:25 -05:00
matlabbe
4e4207a6dd CMake: updated to support latest g2oConfig.cmake (using targets) 2021-03-02 18:17:09 +00:00
matlabbe
ea4cc7cb6c Refactored how IMU is used in odometry (if guess is not set, use imu orientation for guess). Changed canProcessIMU() to canProcessAsynIMU() to make it more clear for odometry approaches able to process IMU between image frames (VIO approaches). ZedOC: fixed device closed if imu is not detected. 2021-03-01 19:27:24 -05:00
matlabbe
f7bc47572b Parameters: Icp/VoxelSize default updated from 0 to 0.05 2021-03-01 11:22:40 -05:00
matlabbe
d119487dd7 Coloring scan (camera projection on point cloud) (#693)
* ExportClouds: Added camera projection options

* ExportClouds: fixed ceiling/floor filtering options not saved in config

* ExportClouds: fixed colorless scan points still exported when option is unchecked.

* Export tool: added --bin, --poses, --images, --las and --cam_projection options; export with intensity with --scan option. PDALWriter: added binary option (only used for PLY an PCD formats). Rtabmap: Do graph optimization if neighbor link refined and Mem/UseOdomGravity is used.
2021-03-01 09:56:37 -05:00
matlabbe
967c57d165 Added CameraStereoZedOC (Zed Open Capture driver).
* Added CameraStereoZedOC (Zed Open Capture driver). Calibration: added stereo baseline option, show warning if fx is very different after stereo calibration.

* Fixed build without Zed Open Capture. Fixed "any" prefix added to all tools when WITH_ZEDOC=ON. UI: fixed Zed Open Capture action not disabled when not built with it.
2021-02-28 10:31:18 -05:00
matlabbe
862eb0a90a CameraStereoVideo: added resolution options for usb camera 2021-02-25 22:22:44 -05:00
matlabbe
cad184e82b Added Icp/PMForce4DoF parameter (works only with libpointmatcher > April 2020). Fixed some deprecated warnings. 2021-02-24 09:43:22 -05:00
matlabbe
d61e463595 Updated About dialog with opencv license 2021-02-21 13:59:36 -05:00
matlabbe
5cdb346a35 Updated opencv license to Apache2 when version >= 4.5 2021-02-21 13:03:19 -05:00
matlabbe
8696a38343 Added parameter GridGlobal/AltitudeDelta 2021-02-21 13:00:16 -05:00
matlabbe
e59aad03ed Fixed android build with latest laserScanFromPointCloud changes 2021-02-19 14:25:34 +00:00
matlabbe
9bf12742b1 fixed #688 2021-02-18 21:04:00 -05:00
matlabbe
bb7e9edb9b Fixed create2DMap assert on 32FC2 when subscribing 2D scans with intensity. LaserScan: fixed assert when angle_min > angle_max (with angle_increment < 0) 2021-02-16 10:47:31 -05:00
matlabbe
f871e4359d Fixed optimized map cleared when optimized graph is smaller than WM (poses should still refer to nodes in WM). Removed warning about max scan points smaller than actual scan (this can happen when assembling scans for proximity detection). Lowering default Icp/PMOutlierRatio to 0.85. 2021-02-12 18:40:40 -05:00
matlabbe
03cfaf2063 DBViewer: Added option to export odometry poses 2021-02-12 11:22:02 -05:00
matlabbe
089441a496 Fixed loadScan return 2D cloud for organized PCD 2021-02-10 21:35:09 -05:00
matlabbe
481a140f84 util3d: Refactored laserScanFromPointCloud() functions to return LaserScan with correct format instead of cv::Mat. 2021-02-07 17:27:55 -05:00
matlabbe
c42a4e3d7e Fixed assert when loading database having optimized poses different from the working memory (force re-update graph in this case). 2021-02-06 15:10:18 -05:00
matlabbe
c1a22609f3 Extract images: added timestamp.jpg/.png filname options (to match RGBD-SLAM pose format). Fixed wrong calibration file when first node is an intermdediate node. Export poses: ignore intermediate nodes when output frame is camera or scan. 2021-02-02 09:36:12 -05:00
matlabbe
b759b1b4d1 DBReader: set calibrated true when only scans in db. RegIcp: added intensity matching option when complexity is low. OdomF2M: accept first key frame on low complexity if a guess is provided. DbViewer: added gravity visualization in 3D view. 2021-02-01 11:31:45 -05:00
matlabbe
6b119c1f90 Camera test view: show intensity/rgb/normals if input scans have them 2021-01-25 17:16:46 -05:00
matlabbe
7e298e1999 CameraImages: timestamp file is optional for pose format containing stamp 2021-01-25 13:21:39 -05:00
matlabbe
c9472962d7 bumpt 0.20.9 version 2021-01-24 13:48:05 -05:00
matlabbe
4d75361fe0 CameraImages: support scan only dataset. 2021-01-24 13:21:30 -05:00
matlabbe
e99c658276 fixed scan-only nodes wrongly set as intermediate nodes by default 2021-01-24 11:35:48 -05:00
matlabbe
57326214f1 Fixed texture projection when fx!=fy, cx!=w/2 or cy!=h/2 2021-01-24 10:39:36 -05:00
matlabbe
47e40ef34d MainWindow: add fake frustum when only lidar is received 2021-01-22 12:51:47 -05:00
matlabbe
aa31a900fb fixed trusty build (#682)
* fixed trusty build (g2o backward compatibility)
2021-01-20 22:54:48 -05:00
matlabbe
28e624e6b2 fixed g2o build with c++14 #681 2021-01-20 10:45:45 -05:00
matlabbe
731b073ed8 Cleanup ObjDeletionHandler not used. Zed: fixed assert "qual >= sl::DEPTH_MODE::NONE && qual < sl::DEPTH_MODE::LAST" with latest sdk. 2021-01-19 17:24:38 -05:00
matlabbe
5d777469ff CameraRealSense2: refactored for freezing/crash issues on stop 2021-01-18 14:58:33 -05:00
matlabbe
70e9dff7da L515: downscale depth image if it has been upscaled during registration, fixed depth not correctly scaled in IR mode 2021-01-18 11:33:10 -05:00
matlabbe
814a243693 Add boost link dir on Windows #678 2021-01-17 15:06:47 -05:00
matlabbe
c49785061f Added PyDetector (#677)
* Added PyDetector. Refactored PyMatcher.

* Fixed python freezing with multi-threading
2021-01-17 01:56:27 -05:00
matlabbe
0bc483b6d3 Added pdal optional dependency (export to LAS, E57, ...) 2021-01-14 15:49:18 -05:00
matlabbe
eae5f2b428 fixed #674 2021-01-11 11:38:31 -05:00
matlabbe
94cf1dfd32 Fixed zero-ed 3D words when receiving odometry's 2D keypoints > Kp/MaxFeatures and empty 3D points 2021-01-09 20:52:34 -05:00
matlabbe
1a967127d9 Bump 0.20.8 version. Parameters: updated default of Vis/CorGuessWinSize=40 (was 20), GFTT/MinDistance=7 (was 3), Optimizer/GravitySigma=0.3 if built with g2o or gtsam. Those parameters help for smooth tracking on latest sensors with higher resolution and use IMU by default if available. Updated docker jfr2018 to use original parameters. CameraStereoZed: wait for imu to be available before sending frames (Zed-m and Zed2). 2021-01-08 13:04:24 -05:00
matlabbe
792c967d46 MainWindow: added driver options to differentiate between cameras having IMU or not (D400 vs D435i, ZED vs Zedm and Zed2). Enabled imu filtering by default for Freenect driver (Kinect XBOX360). 2021-01-08 01:10:23 -05:00
matlabbe
a67dbc26f2 L515 refactoring (realsense v2.41.0, firmware 1.5.3): added IR-only mode support, fixed support with latest firmware, T265+L515 working, related to #574 #614 #629. MainWindow: Selecting RealSense2, ZED sdk, K4A, Mynteye drivers automatically enable gravity optimization (with IMU filtering). 2021-01-08 00:01:08 -05:00
matlabbe
f1993d9cd7 android: fixed z-fighting on some android devices 2021-01-02 18:14:55 -05:00
matlabbe
da99d7e4a0 disabled osx travis build (too long to do) 2020-12-20 00:07:34 -05:00
matlabbe
e896ffb5c0 Update .travis.yml 2020-12-19 23:16:28 -05:00
matlabbe
04cbf56cc0 Update .travis.yml 2020-12-19 22:37:13 -05:00
matlabbe
c5051bf82a Update .travis.yml 2020-12-19 21:38:13 -05:00
matlabbe
7a9f01b9a3 Update .travis.yml 2020-12-19 12:55:12 -05:00
matlabbe
70094edb75 Update .travis.yml 2020-12-19 12:38:36 -05:00
matlabbe
eb2af19a89 Update .travis.yml 2020-12-19 12:28:02 -05:00
matlabbe
af227bad51 Update .travis.yml 2020-12-19 12:21:25 -05:00
matlabbe
ee63ce338a Update .travis.yml 2020-12-19 12:11:19 -05:00
matlabbe
1b3a6abb82 Update .travis.yml 2020-12-19 11:48:06 -05:00
matlabbe
4a8a20c7d1 Update .travis.yml 2020-12-19 11:24:19 -05:00
matlabbe
a125797e50 Update .travis.yml
Added osx
2020-12-19 11:18:20 -05:00
matlabbe
a6f0877045 Parameters: added Rtabmap/ImagesAlreadyRectified to odometry parameters (to be shown with --params) 2020-12-18 17:57:43 -05:00
matlabbe
b5cae38eb9 Fixed -lBoost:timer not defined when building with latest GTSAM binaries 2020-12-18 17:01:11 -05:00
matlabbe
d8ebbc2645 CameraK4A: rectifying color image (this improves a lot visual odometry accuracy) 2020-12-13 15:27:17 -05:00
matlabbe
d700d09339 DataRecorder tool: interface changed to use config file (#661) 2020-12-13 12:42:58 -05:00
matlabbe
3104dff006 Update README.md 2020-12-13 11:10:22 -05:00
matlabbe
839045a538 package.xml: 0.20.7 2020-12-12 19:05:06 -05:00
matlabbe
a824945816 package.xml: removed libvtk-qt as there are conflicts on noetic with libpcl-dev (which is using vtk7) 2020-12-12 17:32:30 -05:00
matlabbe
1acf8ff193 RegIcp: don't assert if normals cannot be computed properly before doing complexity check, just reject the transform 2020-12-12 16:53:07 -05:00
matlabbe
51826c9a97 RegIcp: fixed KDTreeMatcherIntensity build error on Mac. 2020-12-11 17:22:29 -05:00
matlabbe
7a5d04062d vtk8: disabled vtkOutputWindow 2020-12-11 17:05:37 -05:00
matlabbe
049238dd59 Gui: added L515 icon 2020-12-11 09:56:17 -05:00
42Max42
3271723034 superpoint, fixing slow convert after cnn (#659)
* fixing slow convert after cnn

* restoring cmake
2020-12-11 09:27:18 -05:00
matlabbe
da8e76ffed rtabmap-matcher: added --calibration_to option (to use a different calibration file for the second image). 2020-12-05 13:21:58 -05:00
matlabbe
3131474102 Added Db/TargetVersion parameter (#652) 2020-12-03 15:45:40 -05:00
matlabbe
3ffc8ce73f DBViewer: enabled Reject button on landmark links 2020-11-30 23:17:47 -05:00
matlabbe
ee44adeb1f fixed #648 (build error without OctoMap dependency) 2020-11-30 12:33:08 -05:00
matlabbe
96c1c81e22 fixed build with older libpointmatcher versions <10300 2020-11-29 19:30:30 -05:00
matlabbe
0022b6b993 ExportCloudsDialog: added colormap option when showing scans 2020-11-28 18:02:54 -05:00
matlabbe
721e046f5d fixed build 2020-11-28 17:36:42 -05:00
matlabbe
d733029565 Increased version to 0.20.7. OdometryF2M: added support for intensity field, removed ignored key frames when there is low scan complexity. RegistrationIcp: added Icp/PMMatcherIntensity, Icp/PointToPlaneGroundNormalsUp and Icp/PointToPlaneLowComplexityStrategy parameters. Rtabmap: when graph optimized from end, increased optimization error before warning that resulting map correction is not identity (this could happen with GTSAM as the root is not perfectly fixed). CloudViewer: added coordinate frame scaling option, added rainbow colormap option for scan intensity. DBViewer: fixed local proximity merged scans not shown modified after refining those links, show intensity, fixed constraints view not updated after rejecting a link. MainWindow: added intesity support with odometry scans. 2020-11-28 17:28:34 -05:00
matlabbe
7859313beb AppVeyor: updated realsense2 sdk to 2.40. CameraRealSense2: When GlobalTimeSync option is off, don't wait 35 ms for imu (and fails), just take the latest one directly (https://github.com/introlab/rtabmap/issues/614#issuecomment-732244439). 2020-11-23 11:36:27 -05:00
matlabbe
80199f23b5 RegIcp: complexity, checking if second eigen value is also under Icp/PointToPlaneMinComplexity to limit to only one axis. DbViewer: fixed refine link with scans having RGB channel. 2020-11-22 19:32:01 -05:00
matlabbe
bce7ae6acd Fixed GTSAM reference frame yaw drift over time when gravity links are used 2020-11-22 16:40:30 -05:00
matlabbe
f88845e138 fixed #643 2020-11-22 14:29:05 -05:00
matlabbe
bdc7be40b4 Fix for previous commit e4cb59b74d (otherwise imu are ignored if globalTimeSync is off) 2020-11-22 12:38:21 -05:00
matlabbe
e4cb59b74d Added suggestion from https://github.com/introlab/rtabmap/issues/614#issuecomment-731769818 2020-11-22 12:32:39 -05:00
matlabbe
dab407e5b9 fixed ad44b65a28 (commitcomment-44427459) 2020-11-22 11:10:35 -05:00
matlabbe
98a499b603 Optimizer: fall back on g2o or gtsam first if one or the other is not available (instead of going TORO). ExportClouds: added ceiling and floor filtering options. 2020-11-22 01:23:08 -05:00
matlabbe
f5d7dc2814 PreferencesDialog: Added Marker/MaxRange and Marker/MinRange parameters to UI. 2020-11-21 17:23:41 -05:00
matlabbe
ab1aa5578a Fixed build 2020-11-21 17:12:09 -05:00
matlabbe
ccbdb586da DbViewer: Added datbabase path to window title 2020-11-21 16:37:40 -05:00
David Molina
f467f2af7f Added Marker/MaxRange and Marker/MinRange parameters (#630)
* ADD 3 meter limit for marker detections

* ADD Marker/MaxRange and Marker/MinRange parameters for controlling marker detection
ADD ctags ignore

Co-authored-by: John Paul Soliva <soliva@seaos.co.jp>
Co-authored-by: Tim Fronsee <tfronsee21@gmail.com>
2020-11-21 16:18:22 -05:00
matlabbe
7c4d2bbdf4 DbViewer: before resetting all changes, added a confirmation message box! 2020-11-21 16:15:27 -05:00
matlabbe
fb206b4f1e DbViewer: fixed scan disappearing after editing constraint 2020-11-21 14:35:29 -05:00
matlabbe
ddecefbb9c 💄 2020-11-21 12:34:17 -05:00
matlabbe
ad44b65a28 Allow partial support for AliceVision v2.3.0 (see #564 for remaining issues) 2020-11-20 13:42:56 -05:00
matlabbe
fdaaa6ccfa Fixed bug L500 gyro/acc not detected (#629) 2020-11-19 13:49:10 -05:00
matlabbe
34e1af7e22 RealSense2: added error message for L515 if resolution is not 640x480 30 fps (#629) 2020-11-19 10:38:15 -05:00
matlabbe
54e2688a1d Fixed build with pcl > 1.11.1 (#641) 2020-11-14 16:52:01 -05:00
matlabbe
f9abcf9e35 fixed opencv2 build 2020-11-14 14:41:37 -05:00
matlabbe
01eb57f293 CameraImages: added configForEachFrame option (added to GUI too). CameraThread: for decimation, if depth is smaller than RGB, RGB is decimated first and if the resulting RGB image is smaller than the original depth, we then decimate the depth. 2020-11-14 13:39:12 -05:00
matlabbe
7be22d1b67 Added check to make sure input odometry poses are invertible. Source/DB: added stereo to depth option. 2020-11-06 21:37:59 -05:00
matlabbe
4b527f9c36 Update .appveyor.yml 2020-11-06 18:56:32 -05:00
matlabbe
4d965c2089 Update .appveyor.yml 2020-11-06 18:18:06 -05:00
matlabbe
47cbd633c3 Update .appveyor.yml 2020-11-06 18:11:29 -05:00
matlabbe
b95537a680 Added c++11 definition when latest libpointmatcher is found 2020-11-06 16:37:29 -05:00
matlabbe
e102243f0e Fixed weight=-8 bug when moving rehearsed node to trash 2020-11-06 14:47:10 -05:00
matlabbe
e7a2f206a0 Gui: fixed warning scan not found when uncompressing data. Don't disable Mem/UseOdomFeatures checkbox anymore in monitoring mode (ROS). 2020-11-05 15:50:05 -05:00
matlabbe
d04b1a13be multiband: add multi-camera support. rtabmap-export: updated options (now supporting creating point cloud from scans). 2020-11-04 14:02:18 -05:00
matlabbe
92b1dabf1c MainWindow: avoid uncompressing images/scans if they are not shown 2020-11-03 16:12:43 -05:00
matlabbe
e269067d4c Texturing: add distanceToCamPolicy option 2020-11-03 16:11:37 -05:00
matlabbe
596cd10b69 Fixed -lBoost::timer not found on ubuntu18.04/arm64 (#587) 2020-11-01 13:08:55 -05:00
matlabbe
6a730b51c7 GUI-Preferences: disabled Daisy feature option on OpenCV 2 2020-11-01 13:01:23 -05:00
matlabbe
4ecf37a3ab fixed build with OpenCV 2.4 2020-11-01 12:49:21 -05:00
matlabbe
99275fba1d Added Daisy descriptor. ORB: updated default parameters. Making ORBOctree using ORB parameters. Updated Vis/CorNNDR default from 0.6 to 0.8 (increase number of matches with binary descriptors, increase slightly feature matching time with float descriptors). Note that jfr2018 scripts have been updated to use old value 0.6. rtabmap-info: show descriptor dimension and type. 2020-11-01 11:28:59 -05:00
matlabbe
25c2a51ee3 fixed windows build 2020-10-29 18:03:36 -04:00
matlabbe
600484e12c Update .appveyor.yml
#624
2020-10-29 11:52:25 -04:00
matlabbe
8878d9fcdf Update .appveyor.yml
#624
2020-10-29 11:44:31 -04:00
matlabbe
72e1649cdd DataRecorder: added imu filtering by default 2020-10-22 18:02:24 -04:00
matlabbe
afbc0edbd6 Local occupancy grid: fixed empty obstacles with scans having intensity channel when Grid/RangeMax is used. 2020-10-21 15:38:19 -04:00
matlabbe
fbc30042c4 Fixed biggest index/min/max when Grid/MaxGroundHeight is set (http://official-rtab-map-forum.67519.x6.nabble.com/Comparison-between-realsense-D435-vs-T265-vs-T265-D435-dual-setup-td6456i20.html) 2020-10-18 15:56:13 -04:00
matlabbe
a4da1e14b4 SIFT: fixed SIFT not extracted with OpenCV >=4.4 and >=3.4.11 when nonfree is false 2020-10-17 20:34:24 -04:00
matlabbe
3047b7da6b CameraRealSense2: update for L515 support 2020-10-17 19:57:27 -04:00
matlabbe
bbb3c56008 Fixed android build 2020-10-16 14:55:50 -04:00
matlabbe
f71f00277c DbViewer::AddConstraint: don't ask ofr manual constraint if already aborted previous question (when Reg/Strategy=1). 2020-10-12 17:41:06 -04:00
matlabbe
0e5ec91280 DbViewer: added option to ignore landmarks. Show landmark id in Constraints View. 2020-10-12 15:29:20 -04:00
matlabbe
3aae79270f Output an error if a timestamp file is missing instead of asserting #613 2020-10-12 14:30:57 -04:00
matlabbe
1b4a992b55 Merge branch 'master' of https://github.com/introlab/rtabmap into devel 2020-10-12 13:16:08 -04:00
matlabbe
384b120d2e Fixed landmark ignored when Rtabmap/StartNewMapOnLoopClosure is true and a loop closure is rejected (before graph optimization) 2020-10-12 13:05:14 -04:00
matlabbe
304c365ae6 Kp/ByteToFloat: Changed default of false
Based on http://official-rtab-map-forum.67519.x6.nabble.com/ZED2-rtabmap-loop-closure-and-twisted-map-tp6986p7002.html
2020-10-12 11:04:59 -04:00
matlabbe
d5572d03ad DbViewer: added checkbox to enable Add for nodes not linked to graph 2020-10-09 12:15:33 -04:00
matlabbe
6d552b7873 DbViewer: fixed depth of features not shown 2020-10-09 11:10:48 -04:00
matlabbe
32eb266c79 fixed CMP0020 cmake warning 2020-10-09 11:10:21 -04:00
matlabbe
2cb509c825 DbViewer: manual constraints can now be added (http://official-rtab-map-forum.67519.x6.nabble.com/Manually-adding-modifying-node-constraints-td6983.html) 2020-10-07 15:41:13 -04:00
matlabbe
168c87b5ba Added statitic Timing/RAM_estimation/. Updated VWDictionary::getMemoryUsed(). 2020-10-05 22:11:28 -04:00
matlabbe
a80e062bef Fixed build error in Trusty 2020-10-05 18:17:18 -04:00
matlabbe
9e321971ef Removed debug log 2020-10-05 17:49:26 -04:00
matlabbe
8260733b11 fixed detectMoreLoopClosures when RGBD/LocalBundleOnLoopClosure is true 2020-10-05 17:47:13 -04:00
matlabbe
bbccbd63e4 Increased version to 0.20.5
Refactored how features are stored in Signature (significative memory optimization, causing major refactoring in Memory, RegistrationVis, OdometryF2M)
FLANN: optimized memory usage when Kp/IncrementalFlann is false
Added memory usage functions
Added statistics Loop/Visual_inliers_ratio/ and Memory/RAM_estimated/MB
EpipolarGeometry: templated findPairs functions
graph::filterLinks: added inverted option
LocalBundleOnLoopClosure: Force to use only neighbor links
MainWindow: fixed max depth filtering for map's features
Rtabmap::getSignatureCopy() fixed links not returned
Added UPlot::getAllCurveDataAsText() function.
DbViewer: fixed features not rendered in right view when failing ro refine a constraint
report: added --export and --export_prefix options (to export figures data)
2020-10-05 17:34:32 -04:00
matlabbe
bedc771fa4 Rtabmap: added getNodesInRadius() public functions 2020-09-28 12:03:42 -04:00
matlabbe
933ac736f1 Increased version 0.20.4. Added parameter Kp/ByteToFloat (default true to use less memory with kdtree and binary descriptors). Memory/Sqlite3: Setting weight to -9 for invalid nodes (to make sure they are not reloaded from database, to fix a graph reduced issue). Added 12-SURF/FREAK detector approach. rtabmap-info: added number of nodes in each sessions. 2020-09-28 10:29:14 -04:00
matlabbe
c5158cade5 Fixed loop closure rejected if the camera on the robot changes orientation accordingly to base frame (http://official-rtab-map-forum.67519.x6.nabble.com/Mapping-with-multiple-stereocameras-localization-with-multiple-monochrome-monocular-cameras-tp6647p6953.html). The reason why that check was there was because ICP flipping 180 deg in some cases, but should be already detected with that commit 7a1cf84b08 (diff-b65a61c23197f7ff77a877f62b630b2cR283). 2020-09-27 14:38:36 -04:00
matlabbe
eef0a23b1b Reprocess: added --skip option (to skip frames when reprocessing). Rtabmap: always save Loop/Map_id/ stat. UPlot: export NaN insted of NA for invalid values (compatible with octave). GraphViewer and ImageView: added support for PDF output format, also changed default directory to User's Pictures standard folder. 2020-09-21 19:32:48 -04:00
matlabbe
3d33370e4c DbViewer: fixed error log when showing landmarks in Constraints view. 2020-09-15 17:12:00 -04:00
matlabbe
4e6e404951 Fixed "[Setjac] infinite jac" error when Vis/ForwardEstOnly is false. OptimizerG2O: Added a check to ignore invalid 3d points. 2020-09-15 15:18:49 -04:00
matlabbe
29368ebdb3 report: fixed database order in localization results 2020-09-15 14:06:23 -04:00
matlabbe
a24211583d Rtabmap: init Bayes prediction when loading a database 2020-09-11 10:55:33 -04:00
matlabbe
d50b33a7b8 Preferences: updated warnings for free sift (#596) 2020-09-10 17:56:49 -04:00
matlabbe
a689d8a23f report: fixed how localization stats are split against localization sessions only 2020-09-10 14:09:27 -04:00
matlabbe
bd80811ea1 Stats: added Loop/Distance_since_last_loc 2020-09-10 14:07:53 -04:00
matlabbe
cabf03af44 Memory: fixed keypoints3d wrongly copied when not using odom features 2020-09-08 21:24:47 -04:00
matlabbe
f93cdc31a6 Gui/source/K4A: added more description 2020-09-04 15:12:05 -04:00
matlabbe
e0973fea92 CameraK4A: added imu support with playback. Fixed windows build error. 2020-09-04 14:10:32 -04:00
matlabbe
49cb470b8d CameraK4A: refactored to unify playback and real device code. Fixed ir option (with rectification). 2020-09-04 12:48:18 -04:00
matlabbe
d2784095a3 Added K4A status on --version. About: added Mynteye status 2020-09-04 10:39:15 -04:00
matlabbe
1db17dd118 rtabmap-report: added loc_delay option. Db info: added unused space 2020-09-03 15:23:48 -04:00
matlabbe
23d8353540 Rtabmap::detectMoreLoopClosures, use optimized graph as guess if RGBD/ProximityOdomGuess is true. Reprocess: added options to generate scan from depth image and/or pre-process input scans. 2020-08-28 16:24:07 -04:00
matlabbe
96a628877c reprocess: when merging databases, return number of sessions merged when program exists. export: added --save_in_db option. 2020-08-28 12:29:16 -04:00
matlabbe
24052a6ebe fixed pcl::getAngle3D not found error on latest pcl version (6df3e602a7 (diff-8e08415b9972a447d115dbca3f8fa0a1)) 2020-08-25 10:56:30 -04:00
matlabbe
775c9318d3 Fixed Too large rotation detected message 2020-08-21 15:57:28 -04:00
matlabbe
f263d560b4 OdomF2M: fixed complexity null for first scan is not having normals already 2020-08-21 14:32:08 -04:00
matlabbe
729f96f467 TORO: added warnings when prior or landmark links are detected 2020-08-21 11:26:22 -04:00
matlabbe
8d63e9eae1 Fixed 'cannot find -lBoost::thread' build error when building only with libpointmatcher dependency 2020-08-14 12:25:03 -04:00
matlabbe
39f68c44c6 Recovery: set back database in mapping mode after being saved in localization mode 2020-08-03 13:46:42 -04:00
matlabbe
0a9d237ac2 0.20.3: CameraRealSense2: Fixed D435i accel/gyro profile selection to avoid crash. Fixed Integrated D415 fix (#469) 2020-08-01 20:29:47 -04:00
matlabbe
07d21e6b03 VINS update log: printf to UDEBUG 2020-07-30 12:34:58 -04:00
matlabbe
53a759e2da Fixed missing vins usage with run_euroc_datasets.sh 2020-07-29 11:50:53 -04:00
matlabbe
6741355842 Ignore invalid GPS values (NaN #570) 2020-07-29 10:39:34 -04:00
matlabbe
1460c56254 Merge branch 'melodic-devel' of https://github.com/introlab/rtabmap 2020-07-12 15:02:00 -04:00
matlabbe
dec135a3fb package.xml: added explicitly libvtk-qt dependency for debian build error 2020-07-12 14:59:40 -04:00
matlabbe
9edd9b741d tango-api19: fixed docker build 2020-07-10 22:16:16 -04:00
matlabbe
43eba76a20 docker: updated tango-api19 image 2020-07-10 15:26:59 -04:00
matlabbe
bf45a0cba2 docker: fixed arcore not correctly extracted 2020-07-10 09:04:38 -04:00
matlabbe
4be07fc3e9 fixed tango build without arcore support 2020-07-10 08:58:56 -04:00
matlabbe
4e32e8846c fixed build error 2020-07-08 21:34:41 -04:00
matlabbe
6468245317 Reprocess: added loc stats in motion, added option to export odom and loc poses in g2o format 2020-07-08 21:25:14 -04:00
matlabbe
169b79215d Memory::computeIcpTransformMulti() added support for 3d scans with RGB channel (L515) 2020-07-08 13:43:28 -04:00
matlabbe
4a09c4bdcf Odometry: fixed Reg/Force3DoF ignored if filters are not used 2020-07-08 10:03:54 -04:00
matlabbe
3505611fb5 reprocess: set Mem/UseOdomFeatures to false if Kp/DetectorStrategy or Vis/FeatureType is overwritten (#566) 2020-07-06 13:31:01 -04:00
matlabbe
55228aa574 Update README.md 2020-07-02 21:43:10 -04:00
matlabbe
e800662bac Fixed build with OpenCV >= 3.4.11 2020-07-02 16:29:23 -04:00
matlabbe
33e9abdfad Mac: fixed crash when discarding a signature (not moving enough) with self refenced links. Fixed link error with realsense2 library on Mac. 2020-07-02 12:54:43 -04:00
matlabbe
cd10cafd0e Windows: fixed CameraRealSense2 driver freezing on close. 2020-07-01 20:58:04 -04:00
matlabbe
736cf0efc7 Windows: fixed stamp now() issue 2020-07-01 16:53:57 -04:00
matlabbe
4f6d8b1fbe Windows: add depthengine_2_0.dll plugin when packaging with K4A support 2020-07-01 14:46:37 -04:00
matlabbe
8fa216bd9d Fixed default odom gravity sigma value to -1. Preferences: set 720p by default for K4A driver 2020-07-01 14:04:19 -04:00
matlabbe
661a05b0da CameraMyntEye: fixed M_PI not defined error 2020-06-30 23:36:12 -04:00
matlabbe
0809946c66 Windows: Fixed stereoRectifyFisheye.h 'cannot convert from cv::Mat to CvMat' compilation error with opencv >=3.4.4. Fixed k4a/k4atypes.h not found on guilib compilation. 2020-06-30 23:18:31 -04:00
matlabbe
4857d43146 android: ui update. fixed arcore java driver not stopping in background 2020-06-29 20:41:59 -04:00
matlabbe
b7ada1992e android: added occlusion detection using arcore depth api (for FPS view). Added depth from motion option in Mapping options. 2020-06-29 20:25:58 -04:00
matlabbe
2ee3445728 Docker: updated arcore 1.18 download link 2020-06-29 15:35:14 -04:00
matlabbe
4142ff003c Added AR mapping mode (select ARCore ndk driver and set first person view) 2020-06-29 15:24:35 -04:00
matlabbe
542f06ec24 ARCore: features from arcore are used directly for keypoints 2020-06-29 15:08:24 -04:00
matlabbe
dacf724ea6 Rtabmap::addLink() support multi-session 2020-06-25 13:56:01 -04:00
matlabbe
274903dd63 Rtabmap::getSignatureCopy() added withWords and withGlobalDescriptors options 2020-06-22 22:56:25 -04:00
matlabbe
c19f81ac12 Memory::getNodeData() removing not wanted data if the node with all its data has been found in working memory. 2020-06-22 22:29:26 -04:00
matlabbe
846bd59d0b Rtabmap::addLink() removed an error log that is actually a debug log. 2020-06-22 21:53:22 -04:00
matlabbe
6e1f07e097 CameraK4A: fixed IMU local transform, fixed some compilation warnings. 2020-06-22 19:42:55 -04:00
matlabbe
1ca2c25a10 DbViewer: fixed empty from scan when refining proximity link by space 2020-06-22 13:07:27 -04:00
matlabbe
c5ec4f337b util3d::segmentObstaclesFromGround() fixed no ground returned if maximum ground height is set and the biggest plane was not under that height (e.g., ceiling having more points than ground) 2020-06-18 21:30:43 -04:00
matlabbe
554b08256b Statistics: Added Odometry_correction_acc_* 2020-06-18 14:47:00 -04:00
matlabbe
a2b0de2a4d MacOSX bundle: fixed ui native style with Qt>=5.10 2020-06-18 12:09:26 -04:00
matlabbe
fb6659e29d CloudViewer: reduced ambient lighting for textureMesh with VTK>=7 2020-06-18 11:28:53 -04:00
matlabbe
db00f55981 CloudViewer: fixed texture not shown with VTK>=7 2020-06-18 10:59:42 -04:00
matlabbe
ffdb2eb855 Docker: added focal image, fixed bionic image not building with alicevision. Updated travis with focal build. 2020-06-09 21:15:54 -04:00
matlabbe
13679cc52a Export tool: fixed generated texture output directory 2020-06-09 12:58:55 -04:00
matlabbe
4769fc235f Refactoring: set default local transform for camera drivers to opticalRotation. Added CameraModel::opticalRtotation() static function for convenience. Added CameraModel::load() from file directly for convenience. Added Camera::initFromFile() for convenience. Transform: Added opengl_T_rtabmap() and opengl_T_rtabmap() functions for convenience (convert back and forth between rtabmap world and opengl world coordinate frames) 2020-06-08 11:40:47 -04:00
matlabbe
ff5695878c Rtabmap::init() added loadDatabaseParameters argument for convenience (default false to be backward compatible) 2020-06-08 10:35:12 -04:00
matlabbe
6029b6283d Rtabmap: Refactored how fake odom is generated in localization mode when no odom is provided. Trigger new map in localization mode also clears last localization pose if RGBD/SavedLocalizationIgnored is true. 2020-06-08 10:14:21 -04:00
matlabbe
86ac63ab19 UPlot: changed float to qreal (double). Added UPlot::frameData() function. 2020-06-07 11:55:27 -04:00
Thomas Kircher
de5610bd08 Added preferences for Azure Kinect camera (#559)
* Added Kinect for Azure menu option

* Reintegrated Kinect for Azure initialization code, fixed previous GUI commit

* Added ifdefs to fix build

* Added preliminary K4A device support

* Edits to K4A camera implementation

* K4A minor initialization fix

* Typo

* Another initialization fix

* Update CameraRGBD tool to display K4A camera output

* K4A added model parameter so we can create maps

* Added combo boxes for K4A options

* Functionalized combo boxes for K4A options

* Finished adding K4A preferences
2020-06-04 11:34:37 -04:00
matlabbe
7a9a5d2ef9 CloudViewer: updated camera clipping 2 2020-06-03 14:50:59 -04:00
matlabbe
b6d4c6f024 CloudViewer: fixed camera clipping the grid 2020-06-03 13:41:36 -04:00
matlabbe
ff3c6c8e06 Update README.md 2020-06-02 19:59:21 -04:00
matlabbe
e2007a8f82 CloudViewer: fixed build with vtk<6 2020-06-01 22:18:45 -04:00
matlabbe
bda18bc517 CloudViewer: added EDL shading option 2020-06-01 21:44:42 -04:00
matlabbe
d00717b068 package.xml: removed explicit dependency to libvtk-qt (https://github.com/introlab/rtabmap/issues/557) 2020-06-01 11:42:35 -04:00
matlabbe
c7be9a23ee OdometryF2M: refactored imu buffer 2020-05-31 14:33:20 -04:00
matlabbe
caffb56246 DBViewer: fixed StereoSGBM panel not shown. Odometry: fixed Odom/GuessSmoothingDelay type 2020-05-31 13:26:54 -04:00
matlabbe
d5cfd8013d CameraMyntEye: added setIrControl() 2020-05-31 12:17:14 -04:00
matlabbe
415a2778f1 Added Features2d::limitKeypoints() with grid options. Odometry: if imu is provided and no guess is provided, the change of orientation of imu is used for rotation guess (overwrite rotation from Odom/GuessFromMotion). OdometryInfo: added gravity errors when imu is used. Preferences: added a second GravitySigma parameter (overwritting Optimizer/GravitySigma for odometry is not negative) for F2M odometry panel. 2020-05-31 11:22:12 -04:00
matlabbe
6e55525a7b Memory::getNeighborsId() fixed no link returned when looking in database 2020-05-30 09:20:32 -04:00
matlabbe
7eae992d6f rtabmap-report: fixed map.at() error if the database as empty statistics 2020-05-28 21:21:31 -04:00
matlabbe
2509b6ee09 Statistics: added MapToOdom and MapToBase stats 2020-05-28 21:04:01 -04:00
matlabbe
45ddce938a CameraMyntEye/GUI: added manual/auto exposure option (default auto). Rtabmap: refactored warning when RGBD/OptimizeFromGraphEnd changes state. 2020-05-28 19:50:02 -04:00
matlabbe
6e0081e248 MainWindow: made mynteye action checkable. 2020-05-28 14:04:10 -04:00
matlabbe
bf39c5295b Ported PCL 1.11 deprecated changes to PCL 1.10 (#550) 2020-05-27 17:45:16 -04:00
matlabbe
8842d0c0e3 fixed isfinite -> std::isfinite 2020-05-27 16:39:50 -04:00
matlabbe
511be5f663 Fixed build with pcl 1.11 (#550). Fixed pcl 1.11 warnings (boost->std). 2020-05-27 16:35:33 -04:00
matlabbe
ae5ce029d6 Fixed SIFT build issue between OpenCV 4.3.0 and OpenCV 4.3.0-dev 2020-05-27 10:35:18 -04:00
matlabbe
798466bb05 Increased ros package version to 0.20.0. Parameters: fixed default feature detector when xfeatures2d is not found 2020-05-26 22:44:44 -04:00
matlabbe
0902ccc340 Updated error message when SBA is done on multicam setup. 2020-05-26 11:04:23 -04:00
matlabbe
208f1e5b7c OdomF2M: fixed complexity check on 2d scans (https://github.com/introlab/rtabmap_ros/issues/412) 2020-05-25 20:07:58 -04:00
matlabbe
b40d9610ed Preferences: Fixed xfeatures2d features not available without nonfree on OpenCV >= 3.4.2 (https://github.com/introlab/rtabmap_ros/issues/422) 2020-05-25 17:31:13 -04:00
Thomas Kircher
35385e299d K4A mapping working now (#554)
* Added Kinect for Azure menu option

* Reintegrated Kinect for Azure initialization code, fixed previous GUI commit

* Added ifdefs to fix build

* Added preliminary K4A device support

* Edits to K4A camera implementation

* K4A minor initialization fix

* Typo

* Another initialization fix

* Update CameraRGBD tool to display K4A camera output

* K4A added model parameter so we can create maps
2020-05-25 11:46:16 -04:00
matlabbe
6acfc62196 CloudViewer: adjust frustum fov based on camera model (https://github.com/introlab/rtabmap_ros/issues/419) 2020-05-24 11:13:13 -04:00
matlabbe
eb9999d7b1 Rtabmap::addLink() supporting localization mode. MainWindow: fixed flickering camera frustum. 2020-05-21 21:26:29 -04:00
matlabbe
69a2aacc8e Parameters: added SIFT/RootSIFT parameter. 2020-05-21 17:09:20 -04:00
Thomas Kircher
013bd0c72a K4A device, fixed some stale edits (#553)
* Added Kinect for Azure menu option

* Reintegrated Kinect for Azure initialization code, fixed previous GUI commit

* Added ifdefs to fix build

* Added preliminary K4A device support

* Edits to K4A camera implementation

* K4A minor initialization fix

* Typo

* Another initialization fix

* Update CameraRGBD tool to display K4A camera output
2020-05-20 19:36:15 -04:00
Thomas Kircher
89ece8cd4e Preliminary K4A device support (#552)
* Added Kinect for Azure menu option

* Reintegrated Kinect for Azure initialization code, fixed previous GUI commit

* Added ifdefs to fix build

* Added preliminary K4A device support
2020-05-20 15:31:30 -04:00
matlabbe
360a153565 Parameters: Renamed SuperGlue group to PyMatcher group. Added OANet python script. 2020-05-20 09:45:39 -04:00
matlabbe
63d40b2240 Fixing trusty build 2020-05-19 18:06:20 -04:00
matlabbe
cb60443a33 Fixing OpenCV<3 build 2020-05-19 15:44:41 -04:00
matlabbe
609d45ac9b 💄 2020-05-19 15:33:32 -04:00
Thomas Kircher
b542d6a0db Added Kinect for Azure menu option (#551)
* Added Kinect for Azure menu option

* Reintegrated Kinect for Azure initialization code, fixed previous GUI commit

* Added ifdefs to fix build
2020-05-19 15:03:36 -04:00
matlabbe
c7b84c60bc Parameters: added Mem/StereoFromMotion (default false) and RGBD/ProximityOdomGuess (default false). Visual proximity detection is done before computing the loop closure transform (the later is ignored if visual proximity succeeded with a node close to loop closure, add Loop/Suppressed_hypothesis_id statistics to know when this happens). Changed Loop/Map_correction to Loop/Odom_correction (to better see the actual jumps of localization about /base_link frame, not /odom frame). util3d::generateWords3DMono() is now using openCV's implementation of five-point algorithm (this fixed some cases for which the older approach couldn't find any solution). UPlot: added scrolling area on the legend, added global legend option to show all curve statistics (mean, stddev,max). MainWindow's open dialog: reopen last directory when reopening a different database. ParametersToolBox: show default parameter value in tooltip. rtabmap-report: add --start option. rtabmap-reprocess: show details about proximity and loop detections, reset all localization statistics after changing database. 2020-05-19 15:01:50 -04:00
matlabbe
55509c6c27 Fixed build with OpencV 2.4 and Qt4 2020-05-13 15:15:52 -04:00
matlabbe
00695731fe SuperGlue: added traceback when there is an error with python. 2020-05-13 11:18:34 -04:00
matlabbe
09d2f7d232 Fixed android build 2020-05-12 22:04:03 -04:00
matlabbe
e906b40e50 Fixed build with opencv < 3.4.1 2020-05-12 10:26:08 -04:00
matlabbe
1b675c3dcb Preferences: fixed SuperGlue/Indoor widget not found 2020-05-11 14:10:49 -04:00
matlabbe
d2673ed2fa Added GMS matching approach (Vis/CorNNType=7). Added GMS/ parameters. Added SuperGlue/Indoor parameter. ImageView: updating feature and line colors directly when changing color (option menu), fixed items already added to scene warning when switching to GraphicsView. 2020-05-11 13:23:26 -04:00
matlabbe
cc9fd439fe SuperPoint: updated descriptor normalization process to match exactly the implementation in SuperGlue. generateWords3DMono: use variance at 25% instead of 50% of the sqrd variance vector (to do the same than with PnP), also fixed return camera transform to include local transform of the camera model. rtabmap-matcher: updated default parameters when no depth images are used, added reproj error in title bar. 2020-05-10 14:13:41 -04:00
matlabbe
fbdc3780c7 Freenect: fixed imu local transform. Preferences: show imu filters with freenect driver. 2020-05-09 23:13:39 -04:00
matlabbe
c44837a4cb Fixed build without SuperGlue 2020-05-09 21:41:38 -04:00
matlabbe
91285e5e97 Added SuperGlue support (Vis/CorNNType=6). Added rtabmap-matcher tool. DBViewer: show matches/inliers when refine also fails. SIFT: make sift always available on OpenCV 4.3.0 (#538). Parameters: changed SPTorch prefix to SuperPoint, replaced Vis/CorCrossCheck by Vis/CorNNType=5. 2020-05-09 21:13:41 -04:00
matlabbe
abc3ebee8c fixed #538 2020-05-09 11:48:06 -04:00
matlabbe
1af139134e Deprecated Rtabmap::get3DMap(), use Rtabmap::getGraph() instead with setting to true the data flags. Rtabmap::getGraph() now ignores children nodes. 2020-05-06 08:04:58 -04:00
matlabbe
7d377d26df Added Rtabmap::getSignatureCopy() 2020-05-05 13:26:40 -04:00
matlabbe
7041d5fd34 Fixed #541 2020-05-03 22:59:35 -04:00
matlabbe
c19da22ca4 0.20: added GlobalDescriptor table in database 2020-05-03 21:46:25 -04:00
matlabbe
50c3bb7ce9 fixed #540 2020-05-03 14:05:14 -04:00
matlabbe
0a4d0038cb Preferences dialog: fixed missing Vis/CorCrossCheck checkbox 2020-05-02 11:03:17 -04:00
matlabbe
d14efea4ac Added Vis/CorCrossCheck parameter (to use BFMatcher with crosscheck option instead of knn with NNDR for features matching). DBViewer: after refine or add constraint, lines indicating feature correspondences are now shown with different color if they are inliers. Re-enabled saving/loading settings of the ImageViews (feature color, line color, transparency...). 2020-05-01 22:12:56 -04:00
matlabbe
45223b306a Increased SPTorch/Threshold decimals for more fine tuning in DBViewer 2020-05-01 19:59:28 -04:00
matlabbe
3e9cff4053 fixed build with opencv 4.3 2020-05-01 09:51:54 -04:00
matlabbe
46886f2637 Report: added invert and ids options. Reprocess: show node id along map id when processing. 2020-04-30 17:00:09 -04:00
matlabbe
40804d9120 Statistics: added x,y,z map corrections. Report: added options --stats to show available statistics to plot in a database 2020-04-30 15:48:47 -04:00
matlabbe
803c99cee2 RegVis: fixed Vis/MaxDepth and Vis/MinDepth ignored when features are already extracted. 2020-04-30 15:07:32 -04:00
matlabbe
5d16ae8cfe DBViewer: fixed calibration not found on refining without re-extracting features, fixed visualized ids switched on refine in some cases, fixed clouds not shown in constraints view after refine without re-extracting features 2020-04-30 14:17:46 -04:00
matlabbe
ace93b0356 GUI: check mynteye when selected 2020-04-30 01:00:17 -04:00
matlabbe
14ec619b1e Added MYNT EYE S support. Fixed StereoCameraModel rectification not done with non-square images, also updated to support fisheye model. 2020-04-30 00:57:47 -04:00
matlabbe
b3eee0d7bf android: fixed yuv conversion bug on some devices, updated default driver based on which one is available and built with it. 2020-04-29 12:18:02 -04:00
matlabbe
37e0860b0c android: Fixed upload button not visible in Sketchfab activity, webview can be canceled 2020-04-27 17:35:06 -04:00
matlabbe
be57c2752d Fixed gravity links not added for optimization when both prior and gravity links are added to same nodes 2020-04-26 23:45:32 -04:00
matlabbe
1a3c90e898 cleanup some debug logs 2020-04-26 14:57:27 -04:00
matlabbe
06482d2378 ARCore: when tof camera is not available, use arcore point cloud as keypoints 2020-04-26 14:48:48 -04:00
matlabbe
3abdd22031 android: fixed state locked in processing after saving 2020-04-26 09:40:50 -04:00
matlabbe
66fca15cc6 Added rtabmap-info console tool 2020-04-24 13:45:41 -04:00
matlabbe
0c04b77cd7 Android: simplified default workflow (open -> scan -> optimize/export -> save) 2020-04-24 09:22:14 -04:00
matlabbe
6bb6178ae5 android: fixed Resume disabled when returning from Visualization 2020-04-24 08:23:17 -04:00
matlabbe
4ad92f0261 Docker: fixed android-## cloning branch 2020-04-24 07:33:48 -04:00
matlabbe
bc8d811f69 Dictionary: fixed L2SQR format for GPU BF 2020-04-23 22:56:42 -04:00
matlabbe
e8be3f21fa SuperPoint: fixed nms bug 2020-04-23 20:06:48 -04:00
matlabbe
31e5f7804e DbViewer: set horizontal layout by default 2020-04-23 15:27:31 -04:00
matlabbe
9b54aeee22 Android: set estimation type to default PnP 2020-04-23 15:13:58 -04:00
matlabbe
00d8375a2e RGBD/SavedLocalizationIgnored: if true, it is now starting at the origin (0,0,0) instead of null (not linked to graph). 2020-04-23 11:57:01 -04:00
matlabbe
046e0b7888 updated xenial tango docker file 2020-04-23 08:08:57 -04:00
matlabbe
35074f6d9f DBViewer: fixed missing parameter groups in Core Parameters. MainWindow: disabled frames by default. 2020-04-22 18:30:42 -04:00
matlabbe
94360e19e0 DBReader: changed maxFrames option to stopId and startIndex to startId. Reprocess: added options to start and stop at specific ids in the database. 2020-04-22 16:20:29 -04:00
matlabbe
012439aa0b Tango refactoring (#534)
* Created general CameraMobile interface. Tango is now optional. Camera is disabled on visualizaion (battery saving).

* Working android app on non-tango android phones (tested on x86_64 android emulator).

* fixed typo

* android: updated tango not available msg

* android: fixed build with latest android sdk/ndk

* Added ARCore limited support for pose and rgb streams.

* Added AREngine support. Don't assert if depth size is not a modulo of rgb size.

* Added ARCore shared camera support

* android: fixed read/write runtime permissions for >=api23. arcore ndk: added feature point cloud. Fixed file sharing persmissions (>=api24 issue)

* ARCore NDK: mapping with feature point cloud

* android: Added post build strip command to reduce native library size

* android: fixed some compilation issues

* android: put back gtsam as default optimizer, manifest min api is dynamic based on cmake parameters

* AREngine: min api 24

* android: Fixed build without AREngine

* android: fixed not available libraries for API<24

* android: fixed build with old cmake versions

* android: set arcore min api to 23

* android: fixed arengine error on start when not built with native arengine support

* android: fixed tango camera permission for api>=23

* Added bionic android docker files

* Fixed wrong 3D words projection when depth size is not an exact multiple of rgb size. DbViewer: fixed images size not correctly shown in label of the calibration. ImageView: fixed depth scale when depth size is not a multiple of rgb size

* CameraMobile: added exact display rotation for local transform

* DbViewer: fixed gravity link shown in constraint view, show full local transform matrix in camera calibration label

* Android: fixed localization mode in visualization, fixed some tansitions between some UI states

* Android: Hide stop button when HUD is hidden. Updated About years.
2020-04-22 15:05:07 -04:00
matlabbe
931d525874 Fixed build on kinetic (octomap version issue #529) 2020-04-20 09:58:00 -04:00
matlabbe
7cfc51315d CMake: find octomap instead of OCTOMAP #529 2020-04-18 16:03:09 -04:00
matlabbe
de4b17332d Preferences: fixed some not clickable external links 2020-04-17 16:06:56 -04:00
matlabbe
6074e84653 Fixed compilation issues with libtorch 1.4.0 2020-04-17 08:32:44 -04:00
matlabbe
f575652456 0.19.7: added SuperPoint Torch feature support. RegVis: keep Feature2D detectors as class members instead of recreating them at each registration. 2020-04-16 17:59:45 -04:00
matlabbe
2ff582f06f DbViewer: fixed refineConstraints to make sure from id is the smallest id. Fixed correspondence lines drawn when images don't have the same size. 2020-04-15 14:54:36 -04:00
matlabbe
de354b901d RegInfo: added icpStructuralDistribution info 2020-04-14 17:06:53 -04:00
matlabbe
607dc67135 IMU: removing yaw from local imu transform when creating gravity links 2020-04-10 19:24:45 -04:00
matlabbe
d6269bb5d6 GUI: changed TF link colors from yellow to orange (as yellow already used for gravity) 2020-04-10 13:40:59 -04:00
matlabbe
43df2a05da OdomF2M: fixed roll/pitch ignored in imu local transform 2020-04-09 19:22:57 -04:00
matlabbe
1b4b1c2832 Report: add compilation when qt is not used 2020-04-09 11:00:42 -04:00
matlabbe
18ff5bb410 OdomF2M/Icp: fixed substracting points when normals are not used 2020-04-09 09:59:22 -04:00
matlabbe
c0313a6d09 GUI/Source: color only option now also available for stereo cameras (meaning only left frame published). Db: fixed non-valid 3d words saved when no ones were in the signature (on loading, we don't set words3 if they are all null). 2020-04-08 20:00:41 -04:00
matlabbe
82a19a2ff1 DbViewer: Updated add constraint order (from=old, to=newer) 2020-04-08 18:52:38 -04:00
matlabbe
7e8e80db2c Fixed map_id not starting at 0 when empty 2020-04-08 17:02:44 -04:00
matlabbe
cdff33b1c2 Added Mem/LocalizationDataSaved parameter 2020-04-05 19:21:20 -04:00
matlabbe
e83838f744 CameraRealSense2: fixed ifstream imcomplete type error 2020-04-05 12:30:46 -04:00
matlabbe
b3f7d1881f GUI: added options to hide map/odom frames and yellow TF links. CloudViewer: added option to show/hide camera axis 2020-04-03 20:04:15 -04:00
matlabbe
9c62a11316 fixed #525 2020-04-03 17:28:23 -04:00
matlabbe
034adb9f1f fixed #503 2020-04-02 15:07:32 -04:00
matlabbe
fd1fa0320a fixed build with latest libpointmatcher 2020-04-01 15:52:46 -04:00
matlabbe
b95195d8bb CameraRealSense2: added json preset file option (#513) 2020-04-01 12:25:28 -04:00
matlabbe
dcc15f7555 MainWindow: added TG_error_lin and TG_error_ang stats for odometry (error of actual odometry transform compared to ground truth) 2020-03-31 11:52:27 -04:00
matlabbe
0eb978cb0b RegInfo: fixed copy without data. 2020-03-28 18:48:51 -04:00
matlabbe
451211cfb1 OdomInfo: added icpCorrespondences. Stats: using norm instead of x for distance/speed. Added odometry speed statistic in mph 2020-03-28 17:07:22 -04:00
matlabbe
06caa328a4 Lidar low complexity update. util3d::computeNormalsComplexity(): added optional transform (used in RegistrationIcp to get normal vectors in right coordinate frame). RegistrationIcp: Fixed PointToPoint ICP not used with PM when recomputing transform from low complexity. Added more info in warning messages when low complexity happens. OdometryF2M: avoid adding key frame when scan has low complexity. Same for the first frame to init the local scan map. 2020-03-28 16:25:27 -04:00
matlabbe
5122d9ac02 Memory: fixed fisheye distortion index error when rectifying only features 2020-03-24 11:46:16 -04:00
matlabbe
d201e25006 CloudViewer: Fixed normals_scale=0 2020-03-12 16:41:52 -04:00
matlabbe
b7bed0d1a5 Report: ignore total slam time on intermediate nodes 2020-03-12 14:12:00 -04:00
matlabbe
9993c4f2f7 Parameters.h: fixed warning C4305 2020-03-12 00:57:11 -04:00
matlabbe
5371f94c8f VS2019: fixed build 2020-03-11 23:34:55 -04:00
matlabbe
39724e239c rtabmap: fixed graph not re-optimized (if empty) after first localization on landmark 2020-03-10 13:08:47 -04:00
matlabbe
bfc64c451a MainWindow: added /map and /odom coordinate frames 2020-03-10 10:30:42 -04:00
matlabbe
6133399b2e util3d: added intersectRayMesh() and intersectRayTriangle() functions 2020-03-03 14:32:12 -05:00
matlabbe
c2dde973a6 Odometry: rectify stereo images for convenience if Rtabmap/ImagesAlreadyRectified is false and odometry strategy cannot process raw images 2020-03-02 16:57:14 -05:00
matlabbe
3ea64fbfc3 Rtabmap: do localization if a landmark already in graph is detected 2020-03-01 18:41:49 -05:00
matlabbe
cb80d85dd6 DbViewer: removed graph optimization from latest optimized poses (see http://official-rtab-map-forum.67519.x6.nabble.com/Database-Post-Processing-Save-refined-links-td6504.html) 2020-03-01 16:59:46 -05:00
matlabbe
dceec711e0 report: added --loop option to compute loop closure errors 2020-03-01 14:11:37 -05:00
matlabbe
67f1ce600f ament f7deefb31d for OpencV >=3.4.4 2020-02-29 15:22:14 -05:00
shovington
d0f84f9460 add option to create a report.csv file in /tools/Report (#512)
Co-authored-by: John <john.bobzwik@gmail.com>
2020-02-27 16:28:02 -05:00
matlabbe
5daf4e5b2b Rtabmap: avoid optimizing for only gravity if odometry is already aligned with gravity 2020-02-26 13:40:03 -05:00
matlabbe
80bee99bfc ExportDialog: show (disabled) multi-band option even if not available for viewing (only for exporting) 2020-02-22 18:16:45 -05:00
matlabbe
882f2010ce MainWindow/rtabmapviz: Ignore Odometry stats included in rtabmap's Statistics object (to avoid plot reset when also receiving those from odom info) 2020-02-21 16:16:36 -05:00
matlabbe
352507cb1c Update downsampling filtering approach for ring-like lidars like the ouster 2020-02-21 15:01:31 -05:00
matlabbe
e7a7ab8031 CloudViewer: added scan red colormap and max intensity options 2020-02-20 15:33:50 -05:00
matlabbe
bd979cca34 Fixed rejected 180deg loop closure with multi-camera setup 2020-02-19 14:35:37 -05:00
matlabbe
ab9f05fb0f Parameters: fixed "False" conversion independently of the case 2020-02-17 12:41:20 -05:00
matlabbe
5c197f176e DBViewer: fixed Yes vs YesToAll after editing 2d occupancy grid 2020-02-13 17:43:47 -05:00
matlabbe
5fef44ec2b DBViewer: Added option to crop empty space from local grid and scans after 2d occupancy grid is manually edited 2020-02-13 17:32:39 -05:00
matlabbe
79b480da4b Rtabmap: added addLink() function 2020-02-11 23:33:18 -05:00
matlabbe
e1ecf55d03 fixed 14.04 build 2020-02-05 20:46:15 -05:00
matlabbe
c9f21e7ebf fixed #498 2020-02-05 20:01:02 -05:00
matlabbe
f7deefb31d Fixed compilation with OpenCV 4.2 #502 (see ad146e5a6b and https://github.com/opencv/opencv/pull/16046) 2020-02-05 11:52:31 -05:00
matlabbe
e2e2227895 ZED: Fixed compilation error with ZED SDK3 (#499). Added textureness confidence thr parameter (default 90, working only with ZED SDK3) 2020-02-03 17:59:07 -05:00
Walter Lucetti
8810c9e694 Compilation fixes (#501)
Great! Thx a lot!
It should fix issue #499 as well.
2020-01-31 14:17:10 -05:00
matlabbe
f7540196d4 Fixed many compilation warnings (c++14, like pedantic warnings) 2020-01-30 17:23:02 -05:00
matlabbe
ccc5a5be5a OctoMap::createCloud() added cloud probability output option.
CameraRealSense2: added new warnings to debug easier timestamps problems.
GUI: added gravity visualization.
DbViewer: empty clouds in OctoMap mode have color depending on probability of occupancy.
Brought general changes from local xvision branch.
2020-01-22 10:34:21 -05:00
matlabbe
f9e818c900 CMake: alice vision option off by default (because it needs to be modified to be compatible https://gist.github.com/matlabbe/469bba5e7733ad6f2e3d7857b84f1f9e) 2020-01-06 13:39:35 -05:00
matlabbe
356094fac4 Intermediate nodes are now filtered if RGBD/LinearUpdate is set. 2019-12-20 17:07:31 -05:00
matlabbe
7d1a97696b OctoMap: fixed frontier with higher tree depth 2019-12-20 15:56:52 -05:00
Louis Petit
af2b221958 OctoMap added frontier cloud output 2019-12-17 17:31:37 -05:00
matlabbe
af9e113112 Gui: added missing OdomF2M/ScanRange parameter 2019-12-11 17:17:29 -05:00
matlabbe
62a2af193c fixed a compilation warning 2019-12-11 15:58:05 -05:00
PrescilliaA
4479a6f7e8 Odometry local map can be limited by range (#482)
* Odometry local map is now dependent on robot range and not on time, recalculating normals after adding new scan to the map as well
2019-12-11 13:43:38 -05:00
matlabbe
2d7ab7bdef Report: support Odometry/TimeEstimation/ms from ros 2019-12-11 11:33:19 -05:00
matlabbe
57a27a5d17 MainWindow: added virtual functions for convenience 2019-12-10 18:48:54 -05:00
matlabbe
1d7dee8976 kitti-tool: fixed no scan bug when using velodyne odom 2019-12-10 18:39:39 -05:00
matlabbe
9582ea4b55 Update .travis.yml 2019-11-24 09:57:49 -05:00
matlabbe
edee5acdbf DBViewer: we can now add new links between disconnected maps using only lidar. Export: convert intensity to grayscale when exporting colored mesh. 2019-11-23 17:58:40 -05:00
matlabbe
85e7c9cf04 fixed undefined reference to vtkSmartVolumeMapper::SetRequestedRenderModeToRayCast() when using PCL 1.9.1 2019-11-21 04:07:38 +00:00
matlabbe
b39fd0321e Update FindK4A.cmake 2019-11-19 09:39:42 -05:00
matlabbe
5f12459437 Docker removed disco and eoan images (keep only LTS images) 2019-11-09 08:48:55 -05:00
matlabbe
070b308595 Docker: xenial and bionic images now depend on ros:kinetic-perception and ros:melodic-perception respectively 2019-11-08 18:41:11 -05:00
matlabbe
e7be12e0ff Docker: removed alicevision from xenial as Eigen >=3.3 is required 2019-11-06 09:58:52 -05:00
matlabbe
d4cb623d9c docker: removed eol ubuntu distros 2019-11-04 08:46:58 -05:00
matlabbe
486b32a7d6 Added alicevision dependency in docker files. Added cosmic, disco and eoan docker files. 2019-11-03 21:14:47 -05:00
matlabbe
179f17d267 0.19.6: Added auto brightness/contrast and texture format options to multiband approach. rtabmap-export moved from examples to tools directory. 2019-11-03 14:10:02 -05:00
matlabbe
5d789f75a9 Merge branch 'alicevision' 2019-10-28 21:17:16 -04:00
matlabbe
2afa76c07c AliceVision integration, see util3d::multiBandTexturing() 2019-10-28 21:16:02 -04:00
matlabbe
260192bcc4 CameraRealSense2: Updated how D435i timestamp issue is handled (see also https://github.com/IntelRealSense/librealsense/issues/4505) 2019-10-25 18:21:40 -04:00
matlabbe
c16b22de57 Added alicevision dependency 2019-10-24 08:56:23 -04:00
matlabbe
79ad8dc4be Fixed #453 2019-10-23 12:43:36 -04:00
matlabbe
6435c74bfe DBViewer: Added "Edit Constraint" button 2019-10-18 12:22:51 -04:00
matlabbe
dd8e21e05d Features2D: set GFTT/ORB by default if GFTT/BRIEF is not available. RealSense2: fixed T265 local pose frame (when using realsense vio) 2019-10-13 19:04:11 -04:00
matlabbe
8924f9c5dc Docker/jfr2018: update msckf patch file (melodic) 2019-10-13 18:07:43 -04:00
matlabbe
981ac69c2c Zed-mini: added imu thread to publish async imu events at 200 Hz (to support VINS odometry). 2019-10-13 17:40:09 -04:00
matlabbe
1e298dcfa2 CameraRealSense2: updated how imu are published in inter mode and fixed some local transforms. GUI-VINS: features are shown in Odometry view. 2019-10-13 14:48:11 -04:00
matlabbe
9cb1e4bbc5 CameraRealSense2: Added Dual Mode (T265+D400) 2019-10-03 21:06:33 -04:00
matlabbe
3ab5ec218b Fixed #409 2019-10-01 20:53:48 -04:00
matlabbe
d360420204 report tool: exporting poses in RGB-D dataset format by default, also exporting odom, slam and gt poses. 2019-09-29 19:38:54 -04:00
matlabbe
3fd5cdfb75 DbViewer/detect more loop closures: removed a messagebox when silent and icp-only is used 2019-09-26 12:29:11 -04:00
matlabbe
547da3f3ce CloudViewer: showing intensity as grayscale instead of generic color handler 2019-09-24 18:18:49 -04:00
matlabbe
aeb2804da8 ViewClouds: fixed wrong color index used by default when normals are not computed with clouds having intensity 2019-09-24 15:55:25 -04:00
matlabbe
cf1997804f ExportClouds: Fixed exported intensity values (packing/unpacking full float intensity value, not assuming 0-100 like before) 2019-09-24 15:46:35 -04:00
matlabbe
ae374f134b Fixed https://github.com/introlab/rtabmap_ros/issues/351 2019-09-22 20:09:58 -04:00
matlabbe
c437375f08 Localization: Fixed local map cleared when gravity links are added and no localization happened. Fixed "Word not found" error on initialization when Mem/InitWMWithAllNodes is true. 2019-09-19 15:23:18 -04:00
matlabbe
955660ba2a CameraRealSense2: added stereo ir support for D400 cameras, added publishInterIMU parameter (required for VINS fusion). 2019-09-18 20:55:48 -04:00
matlabbe
b2b1977f8b Deprecated getClosestTransform(), use getTransform() instead. OdometryF2M: removed patch about forcing roll/pitch from IMU (BA is already doing the job). 2019-09-15 17:31:58 -04:00
matlabbe
350d3cd85f CameraRealSense2: fixed wrong IR image index. DBReader: fixed imu not published. OdometryF2M: use IMU roll/pitch values when IMU is used (reducing variance on those angles before BA). 2019-09-13 21:45:13 -04:00
matlabbe
bdc8d839ff Optimizing the graph if gravity or prior constraints are added in SLAM mode 2019-09-12 18:56:01 -04:00
matlabbe
5b6eddabde Added support D435i IMU in IR mode 2019-09-12 17:21:35 -04:00
matlabbe
e968fd3ef4 Remove landmark links when a node is deleted (and removed from the graph) #441 2019-09-01 13:17:44 -04:00
matlabbe
380fffb1d9 fixed #435 2019-08-27 15:30:13 -04:00
matlabbe
536f001479 Added OptimizerCeres class (Optimizer/Strategy=3) 2019-08-17 03:55:04 -04:00
matlabbe
38044040a6 Fixed mask when there are inf values in depth image 2019-08-16 16:38:25 -04:00
matlabbe
2a1b737470 OdometryVINS: fixed output pose orientation (D435i and euroc compatible) 2019-08-15 16:46:56 -04:00
matlabbe
4b118ae660 Added FastCV support (see FAST/CV parameter). VWDictionary: loading fixed dictionary only on updates (to avoid loading it multiple times when memory is reset). 2019-08-14 12:09:56 -04:00
matlabbe
d5b4b25287 updated ORBExtractor opencv include (compatibility issue https://github.com/introlab/rtabmap_ros/issues/333) 2019-08-09 15:31:47 -04:00
matlabbe
262d74d1e3 fixed a compilation error 2019-08-01 16:29:44 -04:00
matlabbe
6767c2ade2 0.19.5: added Icp/RangeMin and Icp/RangeMax parameters 2019-08-01 16:21:01 -04:00
matlabbe
487caab349 CMake: added RTABMAP_QT_VERSION option (default auto) 2019-07-31 10:37:59 -04:00
matlabbe
283274e056 DbViewer: Added Gravity info (https://github.com/introlab/rtabmap_ros/issues/323) 2019-07-29 10:45:16 -04:00
matlabbe
1a5220182c CloudViewer: added vtkTexture.h include (#425) 2019-07-28 21:24:55 -04:00
matlabbe
cd5e4f3055 Travis: added xenial build 2019-07-28 20:53:08 -04:00
matlabbe
7ea08b87d5 Travis: added bionic build 2019-07-28 20:46:04 -04:00
matlabbe
a90356f0c9 fixed https://github.com/introlab/rtabmap_ros/issues/326 2019-07-26 14:03:32 -04:00
matlabbe
6713fe8bd2 fixed https://github.com/introlab/rtabmap_ros/issues/330 2019-07-25 13:15:44 -04:00
matlabbe
62d8a892c6 DbViewer: fixed graph not re-optimized after refining an added link. Rtabmap: RGBD/ProximityPathMaxNeighbors=1 means only nearest node on a path 2019-07-23 15:21:32 -04:00
matlabbe
3558640407 OptimizerGTSAM: fixed landmarks not transformed back in 3D after 2D optimization (slam2d) 2019-07-17 12:15:04 -04:00
matlabbe
5222506578 DbViewer: neighbor links can be rejected (a warning about splitting the graph is shown though) 2019-07-11 18:53:47 -04:00
matlabbe
89f1e809e6 CameraK4A: use mkv framerate if camera rate is -1. Preferences/Source: fixed imu filter parameters not reset on restore defaults 2019-07-11 18:13:20 -04:00
matlabbe
0973f48b2c CameraK4A: added finding lib on linux 2019-07-10 12:34:13 -04:00
matlabbe
3c7719f6d8 Added CameraK4A driver (only MKV playback supported yet). Fixed build with realsense2 support on Windows. Preferences: added imu filtering parameters to ini file. 2019-07-09 20:48:09 -04:00
matlabbe
63be7c85fc DBViewer: when adding new constraints, if visual reg is not used, we use optimized graph as guess 2019-07-05 16:28:31 -04:00
matlabbe
78d0d60b9f Added RealSense SR300 camera support (#421) 2019-07-05 11:19:45 -04:00
matlabbe
bb94adc846 UPlot: Fixed backward compatibility with Qt4 2019-07-03 14:22:17 -04:00
matlabbe
abbf7e4476 Updated UPlot data copy to include data of all curves (common x-axis), added also mean and max along stddev in legend item option 2019-07-03 12:01:34 -04:00
matlabbe
72e613fe28 UPlot: updated copy curve data to clipboard format to be more convenient for copy/paste directly in excel, also added curve names as header 2019-06-26 16:59:44 -04:00
matlabbe
49977b5475 Added ground truth localization error stats 2019-06-26 16:21:03 -04:00
matlabbe
9d8fd364e3 UI/Preferences: Adjusted Vis/MinInliersDistribution decimals 2019-06-18 14:22:29 -04:00
matlabbe
50fdc210c9 Memory: added some warnings about pre-postdecimation parameters, updated their description (removed negative decimation comment) 2019-06-17 10:19:54 -04:00
matlabbe
d205683eb5 Added parameters Vis/MeanInliersDistance and Vis/MinInliersDistribution 2019-06-16 18:54:39 -04:00
matlabbe
85edc57ba5 Added RGBD/MaxLocalizationDistance parameter 2019-06-12 16:03:52 -04:00
matlabbe
b5f5623af4 CameraRealSense2: updated how stamping is done, updated default D435 frame resolution/fps 2019-06-06 17:17:11 -04:00
matlabbe
e09a872fa2 GUI: added word wrap to transform label in loop closure viewer. Memory: creating a RegistraitonVis for stereo from motion if memory's registration pipeline is not vis only. 2019-06-02 14:59:11 -04:00
matlabbe
cdbdc36c94 RegICP: Updated warning when complexity is too low. LoopClosureViewer: fixed scan transform. 2019-06-02 12:38:09 -04:00
matlabbe
8cb923b332 Reduced local bundle on loop closure iterations to 5. Updated graph::filterLinks() to handle selfRef link type. DbViewer: removed gravity constraints from constraints view. 2019-06-01 21:43:13 -04:00
matlabbe
ec943198f0 Rtabmap: re-optimize at each frame when gravity constraints are added 2019-05-31 19:31:11 -04:00
matlabbe
4c8af6d6e9 fix build errors with opencv2, added Transform::getClosestTransform() function for convenience. 2019-05-31 16:51:37 -04:00
matlabbe
d5d00fbd7d merged master to imu_feature 2019-05-31 15:39:49 -04:00
matlabbe
e887d462ce Memory: Added parameter Mem/UseOdomGravity, adding kGravity links when creating a node if IMU is present or Mem/UseOdomGravity is set. Fixed OpenCV4 related build errors on stereo fisheye rectification code. Signature: changed links from map to multimap to support having multiple self references (prior, gravity constraints...). DBReader: publish IMU orientation if a gravity link is detected. 2019-05-31 15:36:35 -04:00
matlabbe
cd6e51a968 fixed #401 2019-05-30 10:04:40 -04:00
matlabbe
71f7515775 Added resolution parameters for Usb camera and realsense2 sources 2019-05-15 19:21:32 -04:00
matlabbe
f8a8e55e7e UI: Update preferences with the new imu filter parameters. Camera: added imu filtering option. Updated support for zedm, D435i and T265. 2019-05-13 18:42:46 -04:00
matlabbe
cbca362cc4 Added T265 odometry support 2019-05-12 19:27:32 -04:00
matlabbe
750ad5bd44 Fixed build error without realsense2 2019-05-11 16:11:19 -04:00
matlabbe
e03a9b3003 DBViewer: fixed Optimizer/GravitySigma not used on optimization 2019-05-10 11:45:15 -04:00
matlabbe
d4b4379829 Added T265 support (stereo-only yet) 2019-05-09 19:20:26 -04:00
matlabbe
5b5b594f4a Fixed assert when Mem/DepthAsMash=false and Vis/MaxDepth or Vis/MinDepth are set 2019-05-07 21:09:46 -04:00
matlabbe
e6f471d88e Added imu to odom bundle adjustment. Added IMUFilter classes. Changed Aruco parameter prefix to Marker. Zed: publishing IMU data. 2019-05-07 18:57:53 -04:00
matlabbe
0fd69f22d4 fixed a comment typo 2019-05-04 15:03:09 -04:00
matlabbe
cc95ca1cf6 Fixed dim assert with binary descriptors and fixed dictionary 2019-05-04 14:58:02 -04:00
matlabbe
4675240d6e Tango: added setCanceledOnTouchOutside() on all dialogs 2019-04-29 18:08:16 -04:00
matlabbe
630b565cd4 reprocess: added double dash support for arguments for convenience. Rtabmap: fixed typo in localization verification by odom graph optimization. 2019-04-29 17:11:29 -04:00
matlabbe
125d532e95 Added graph::calcRelativeErrors() and option --relative for report. Added skip frames option on rgbd_dataset tool. 2019-04-27 20:39:40 -04:00
matlabbe
195f6147ad DBViewer: added feature/line color menu option. CameraImages/DBReader: added maxFrames parameter 2019-04-26 19:20:35 -04:00
matlabbe
cd2c261e2b EditDepthArea: added cluster error menu option, fixed seg fault on large cluster removal 2019-04-26 18:03:07 -04:00
matlabbe
38a83c0cd9 DbViewer: disabling all buttons in Constraints View when visualizing a landmark link 2019-04-26 14:14:35 -04:00
matlabbe
a5350c4891 Optimizer: fixed bad g2o optimizations on 2d slam when there are 3D landmarks (#384). DBViewer: landmarks can be now visualized. 2019-04-26 14:03:25 -04:00
matlabbe
f9b7b54454 Dictionary: new bin descriptor to 32f conversion. RegVis: removed octave comparisons. 2019-04-24 01:24:55 -04:00
matlabbe
1a71406f84 Fixed Windows build (std::back_inserter not found) 2019-04-23 16:15:50 -04:00
matlabbe
f1ae4002aa 💄 run_euroc_datasets.sh 2019-04-23 09:07:15 -04:00
matlabbe
d4585960fc RegVis: fixed orboctree descriptor extractions. KeypointItem: fixed placeholder gray scale for yellow features. 2019-04-22 19:50:41 -04:00
matlabbe
191de5baea docker/jfr2018: fixed kitti run script 2019-04-21 19:34:40 -04:00
matlabbe
ef2c68d768 Fixed build with opencv2 2019-04-18 20:37:50 -04:00
matlabbe
a0f74eaee2 Added new 2d feature ORB OcTree (approach used in ORB_SLAM2). report tool: fixed assert caused by bidirectional links. detectModeLoopClosures tool: check if input path exists. 2019-04-18 19:50:58 -04:00
matlabbe
8a6c0dad00 Fixed build with Qt4 2019-04-17 19:36:15 -04:00
matlabbe
bc2f89e66f DbViewer: added a progress dialog when loading a database 2019-04-17 16:46:03 -04:00
matlabbe
23602935e1 Optimizer::getConnectedGraph() fixed poses created by propagating links (more robust to multi-session) 2019-04-17 15:30:47 -04:00
matlabbe
aaefdae794 DBViewer: improved loading time on large dbs 2019-04-17 14:57:56 -04:00
matlabbe
38cdc76790 reprocess: added more localization info 2019-04-17 14:57:15 -04:00
matlabbe
a668ec35ab Export: normal estimation can be disabled, clouds can be exported with normals 2019-04-17 13:45:42 -04:00
matlabbe
7acaac7a6d g2o: fixed vertigo index when using landmarks. graphViewer: fixed outlier wrong set to some landmark links 2019-04-12 21:31:20 -04:00
matlabbe
428d5be129 fixed compilation warning 2019-04-12 19:27:12 -04:00
TouchDeeper
2de553ba02 fix the realsense release problem (#381)
Great! thx!
2019-04-12 18:26:36 -04:00
matlabbe
77ae8e108a 0.19.2: Refactored SensorData interface. DBReader: Fixed GPS not published. #345: both g2o and gtsam working with GPS. g2o: added gravity edges. 2019-04-09 20:05:24 -04:00
matlabbe
e7b3a7735d Parameters.cpp: fixed build without VTK 2019-04-05 20:51:57 -04:00
matlabbe
9b63297a6b New parameter "RGBD/MaxOdomCacheSize" used in localization mode to reject similar locations (default disabled) 2019-04-05 19:37:40 -04:00
matlabbe
ae12caff04 rtabmap: Adjust transforms with gravity on localization mode if Optimizer/GravitySigma is not null 2019-04-05 16:58:57 -04:00
matlabbe
61098be315 Update .appveyor.yml 2019-04-03 20:21:21 -04:00
matlabbe
727e4fe672 Updated --version info 2019-04-02 14:07:54 -04:00
matlabbe
fc9c762516 Added Optimizer/GravitySigma parameter (with GTSAM support). 2019-03-31 15:51:50 -04:00
matlabbe
35933cafba Rtabmap::setInitialPose() update optimized poses if empty 2019-03-27 22:07:06 -04:00
matlabbe
09ced82c9f Rtabmap::triggerNewMap() now does nothing in localization mode to make sure optimized map doesn't get regenerated 2019-03-27 20:48:00 -04:00
matlabbe
81313c32ee detectMoreLoopClosures tool: Fixed windows build 2019-03-27 16:12:49 -04:00
matlabbe
8c92ed25e5 Rtabmap::detectMoreLoopClosures(): publish more progression messages for every loop closure found. rtabmap-detectMoreLoopClosures: we can do ctrl-c to interrupt the processing safely. 2019-03-27 15:39:46 -04:00
matlabbe
80ef0e1a75 DbViewer: improved opening time of large databases when info tab is not visible 2019-03-25 16:30:03 -04:00
matlabbe
73e15ee93d DBViewer: Fixed message box text error when a constraint is rejected by too large angle 2019-03-25 16:09:09 -04:00
matlabbe
7cd7ce3b41 Odom/GuessSmoothingDelay changed default to 0 (tum long_office_household rosbag orientation issue on the teddybear) 2019-03-21 11:49:44 -04:00
matlabbe
6f4dce52fc OdometryOkvis: return pose only after processing measurements (images) 2019-03-20 22:10:15 -04:00
matlabbe
ae3d651e83 updated run_tum_datasets.sh 2019-03-20 19:44:40 -04:00
matlabbe
0f552b4b65 Update run_kitti_datasets.sh 2019-03-20 19:39:33 -04:00
matlabbe
7a52f316f9 Update README.md 2019-03-20 19:38:23 -04:00
matlabbe
3cafdf911b Docker: added new "latest" version of jfr2018 image (including VINS and latest rtabmap version). Updated jfr2018 scripts to easily switch to host installed rtabmap instead of docker 2019-03-20 19:36:56 -04:00
matlabbe
24a4d91ee8 OdometryOKVIS: added warning if config file doesn't exist, also replace ~ by home directory for convenience 2019-03-20 13:10:14 -04:00
matlabbe
b2fe138dbf OKVIS: force ceres 1.9.0 version 2019-03-20 12:58:06 -04:00
matlabbe
e8e3649f24 Grid/OctoMap: updated update() interface to return boolean to know if the map has been updated 2019-03-19 14:10:30 -04:00
matlabbe
c0a7c3a344 0.19.1: Added OdometryVINS (VINS-Fusion integration, Odom/Strategy=9) 2019-03-18 20:45:34 -04:00
matlabbe
9c1c88d35e Tango: added marker's max depth error setting 2019-03-18 10:37:02 -04:00
matlabbe
c44349511d Fixed build with opencv < 3 2019-03-17 13:02:04 -04:00
matlabbe
0c8194373f DbViewer: added "Edit optimized map" and "Regenerate Optimized Map" actions 2019-03-16 15:27:49 -04:00
matlabbe
c8db45b2a4 reverted 977f8eb262 (was not the problem...) 2019-03-14 19:06:32 -04:00
matlabbe
a0a566140c rtabmap::computePath(pose) fixed fatal error when landmarks are in the graph 2019-03-14 17:16:51 -04:00
matlabbe
977f8eb262 OdometryF2M: fixed orientation ignored when setting initial pose for scans 2019-03-14 14:15:53 -04:00
matlabbe
8edd85a9df Tools: don't build rgbdcamera tool if rtabmap_gui is not built 2019-03-13 11:32:42 -04:00
matlabbe
f1f0c39be8 Fixed localization done in 3d instead of 2d when Reg/Force3DoF was true 2019-03-08 17:31:05 -05:00
matlabbe
cf4db63226 New parameter: OdomF2M/ValidDepthRatio 2019-03-06 12:35:54 -05:00
matlabbe
d85c1c3bcf DbViewer: EditDepth colormap now matches the one in main window 2019-03-05 10:48:05 -05:00
matlabbe
884d1d7684 DbViewer: added colormap menu option to EditDepthArea, update3dView() updates only last select id to avoid switching to second image after editing the depth of the first one. 2019-03-05 10:07:20 -05:00
matlabbe
45fa968076 fixed EdgeSE3XYZPrior not defined build error when using latest g2o version (#360 #363) 2019-03-03 15:27:32 -05:00
matlabbe
530da08145 Added Aruco/MaxDepthError parameter 2019-03-01 18:34:49 -05:00
matlabbe
c272f9538a Rtabmap/StartNewMapOnGoodSignature: start mapping if landmark is also detected. Rtabmap::detectMoreLoopClosures(): Fixed crash when landmarks are in optimized poses. 2019-02-28 20:33:16 -05:00
matlabbe
0ee4d6084b Increased minor version to 0.19 (Tag table not existing anymore) 2019-02-27 14:01:55 -05:00
matlabbe
ebf74e3c98 DbViewer: removed debugging warnings 2019-02-25 09:48:18 -05:00
matlabbe
e1290524af DbViewer: fixed proximity scans not shown 2019-02-23 19:16:12 -05:00
matlabbe
06ba3cfd73 docker: updated introlab3it/rtabmap:android-deps image with OpenCV 3.4.2 2019-02-23 18:14:15 -05:00
matlabbe
222db70cf6 Tango: Added AprilTag dictionaries for marker detection option. 2019-02-23 23:11:24 +00:00
matlabbe
eef47e1681 Aruco/MarkerLength: set default to 0 for convenience (auto estimation). 2019-02-22 22:07:07 -05:00
matlabbe
17521e8efb Tango: added "Settings->Mapping->ArUco Marker Detection" option 2019-02-23 03:02:42 +00:00
matlabbe
d089e95e5a MarkerDetection: added automatic marker's length estimation when depth image is provided (and when Aruco/MarkerLength is 0). 2019-02-22 20:01:09 -05:00
matlabbe
e635f35cf1 Fixed build for OpenCV 3.1.0 2019-02-22 21:55:25 +00:00
matlabbe
5f54bd13bb Fixed build with OpenCV 3.2.0 (including opencv_contrib) 2019-02-22 15:27:25 -05:00
matlabbe
f27da7c8a5 GUI: fixed seg fault when showing scan with intensity and computed normals 2019-02-21 17:51:07 -05:00
matlabbe
49a41d7e46 util3d::downsample() added intensity type support 2019-02-20 17:53:53 -05:00
matlabbe
2863060ded fixed a logging error 2019-02-18 19:07:27 -05:00
matlabbe
75025895b8 Fixed build with OpenCV's aruco module 2019-02-18 19:02:53 -05:00
matlabbe
d6ca37a9e7 Integration of OpenCV's ArUco Marker Detection (see new parameter "RGBD/MarkerDetection") 2019-02-18 18:19:55 -05:00
matlabbe
08f3e6c08e RGBD/LocalBundleOnLoopClosure: disabled on neighbor refining and fixed Reg/Force3DoF ignored 2019-02-17 21:57:52 -05:00
matlabbe
dd5e09be37 DbViewer: fixed fatal error when adding new constraints on nodes not in the graph (now we can only add new constraints with nodes in the graph) 2019-02-15 17:43:18 -05:00
matlabbe
caf165a635 CameraModel: Fixed fisheye distortion params copy 2019-02-15 16:55:57 -05:00
matlabbe
15ca0da89e Fixed Tango build 2019-02-12 16:48:37 -05:00
matlabbe
3e71b3fe69 OctoMap: aligned 2D projection map with OctoMap 2019-02-12 15:36:28 -05:00
matlabbe
5839ccbeb5 OccupancyGrid: fixed some obstacles not added when Grid/RayTracing and Grid/3D are true 2019-02-12 15:35:33 -05:00
matlabbe
38b8746507 Added Mem/ImageCompressionFormat parameter (default .jpg) 2019-02-11 15:23:38 -05:00
matlabbe
99944b1d49 Added FLANN_KDTREE_MEM_OPT cmake option 2019-02-07 20:52:20 -05:00
matlabbe
1752b55678 Fixed bug with proximity detection (with combined scans) giving wrong transform sometimes if RGBD/ProximityPathFilteringRadius was used (default true). Fixed util3d::computeNormalsComplexity() when scan has intensity. 2019-02-07 11:19:55 -05:00
matlabbe
6fc884b575 Export: exporting with intensity for laser scans 2019-02-06 18:46:37 -05:00
matlabbe
c8cd745f81 Rtabmap: On init, load also landmark optimzed poses 2019-02-04 18:23:09 -05:00
matlabbe
c85ff90477 fixed build with older gtsam versions 2019-01-29 19:06:28 -05:00
matlabbe
0c24786912 Fixed build with latest gtsam version (missing DerivedValue.h, https://github.com/introlab/rtabmap_ros/issues/290) 2019-01-29 18:06:38 -05:00
matlabbe
d647fd7743 Fixed regression build error with OpenCV2 2019-01-28 19:56:11 -05:00
matlabbe
5eb9bbe283 GUI: Fixed black zed depth image in ImageView (#356) 2019-01-28 19:47:01 -05:00
matlabbe
f8b7421b59 Fixed build with OpenCV4+CUDA10 (#334) 2019-01-28 19:28:24 -05:00
matlabbe
76ef2c4b0e CameraStereoZed: added odomForce3DoF option 2019-01-28 17:05:15 -05:00
matlabbe
0192cac18a updated recovery tool to support databases without image data kept 2019-01-28 16:11:05 -05:00
matlabbe
ccaf15fc41 fixed build without g2o 2019-01-25 19:14:28 -05:00
matlabbe
f50018776f Fixed Icp/CorrespondenceRatio not updated if set in parameters for proximity detection 2019-01-21 16:55:38 -05:00
matlabbe
c13267599e MainWindow: Re-added rotation of the map on the graph view based on gps, if used and if priors are ignored by optimizer 2019-01-16 20:25:14 -05:00
matlabbe
d45b77c0b7 Vis: fixed assert when doing bundle adjustment with SignatureTo having no 3d words 2019-01-16 19:29:57 -05:00
matlabbe
479fb6cbca rtabmap: update lastLocalizationNodeId even when only a landmark is detected 2019-01-15 21:34:01 -05:00
matlabbe
95f48b694e OptimizerGTSAM: fixed inverted landmark link transform on slam2d with rotation used 2019-01-15 17:58:23 -05:00
matlabbe
9da2c1918f CameraImages: moved scan filtering stuff to CameraThread
Preferences->Source: refactored scan filtering parameters
OdometryF2M and OdometryF2F: moved odom orientation init from IMU to OdometryROS instead
2019-01-15 15:41:07 -05:00
matlabbe
42c8ed0c0f removed a debug warning 2019-01-09 13:52:53 -05:00
matlabbe
d63f9e736e gui: fixed odom local map hiding on rtabmap update 2019-01-09 13:50:12 -05:00
matlabbe
2a8e5be361 g2o: only check for variance >= 9999 as zero should never happen. For landmark, use SE3 or PointXYZ factor depending if angular covariance is set or not (>=9999). Same for gtsam (pose vs bearingRange factor respectively). 2019-01-06 17:00:39 -05:00
Nuno Marques
bf5d2b7f04 EdgeSE3XYZPrior: add ParamOffset (#349) 2019-01-04 12:45:30 -05:00
matlabbe
18c35954f0 g2o: fixed indigo build errors 2019-01-03 16:16:16 -05:00
matlabbe
36d7e58ff2 Merge branch 'TSC21-pr-add_edge_xyz_priors_for_gps' 2019-01-03 15:50:14 -05:00
matlabbe
0f8c70bcdf g2o/gps support: added edge_se3_xyzprior.h to rtabmap repo. Fixed build for kinetic g2o version. 2019-01-03 15:49:25 -05:00
matlabbe
248d6f1167 Merge branch 'pr-add_edge_xyz_priors_for_gps' of https://github.com/TSC21/rtabmap into TSC21-pr-add_edge_xyz_priors_for_gps 2019-01-03 14:10:20 -05:00
matlabbe
35974d55bd updated jfr2018 docker image (made it standalone, depending only on ubuntu:16.04 image) 2018-12-30 15:43:14 -05:00
matlabbe
5548f33e06 Update README.md 2018-12-29 17:17:46 -05:00
matlabbe
a909461535 Added jfr2018 docker image to reproduce kitti/euroc/tum results from the corresponding paper 2018-12-29 17:15:36 -05:00
TSC21
698293e2d8 OptimizedG2O: assotiate VertexSE3 instead of VertexPointXYZ to EdgeXYZPrior 2018-12-28 14:10:00 +00:00
TSC21
22d631d7aa OptimizerG2O: fix landmarks vertex output types 2018-12-28 14:08:05 +00:00
TSC21
be75c7591c OptimizerG2O: fix slam2d prior types naming 2018-12-28 13:38:12 +00:00
TSC21
c21f466573 OptimizerG2O: fix EDGE_XYZ / XY_PRIOR exports 2018-12-27 17:08:54 +00:00
TSC21
308b1484e0 OptimizerG2O: check inverse of the information matrix values 2018-12-27 15:58:25 +00:00
TSC21
8beea1984e Memory: pass globalPoseCovariance without inverting it 2018-12-27 15:06:29 +00:00
TSC21
cebecc3fc3 OptimizerG2O: add EDGE_XY_PRIOR and EDGE_XYZ_PRIOR to saveGraph 2018-12-27 13:22:15 +00:00
TSC21
81c4382349 OptimizerG2O: improve priors SE3/SE2 vs XYZ/XY logic 2018-12-27 12:48:24 +00:00
TSC21
b7f2eb8df9 OptimizerG2O: add XYZ/SE3 and XY/SE2 priors depending on the angular covariances 2018-12-26 16:30:40 +00:00
TSC21
97f956f138 Memory: readd GPS data as priors 2018-12-26 15:37:22 +00:00
matlabbe
6bd9dd55b7 3D view, fixed flickering frustum 2018-12-13 18:00:19 -05:00
matlabbe
6e8913091d ImageView: fixed image not saved if extension not set (set default png) 2018-12-13 17:54:46 -05:00
matlabbe
85f0ab829a Rtabmap: updated logic of small displacement updates (RGBD/LinearUpdate=0 means always update) 2018-12-13 13:30:50 -05:00
matlabbe
73004c643c DbViewer: In graph view, nodes in latest working memory state are highlighted in red 2018-12-13 13:24:57 -05:00
matlabbe
ccbc802fe6 Fixed angular error check when abs angle error > PI 2018-12-10 20:20:52 -05:00
matlabbe
73378c4d56 fixed compilation warning 2018-12-09 14:16:51 -05:00
matlabbe
986db04cb9 Rtabmap::computePath() make sure the closest pose of the current location is a node, not a landmark 2018-12-07 20:43:46 -05:00
matlabbe
de32e53868 OctoMap: fixed not dense empty cells 2018-12-07 19:50:15 -05:00
matlabbe
200ec8e5db 0.18.3: added landmarks (graph optimization, localization, navigation) 2018-12-07 18:29:41 -05:00
matlabbe
b771aa00e0 LaserScan: Updated max points computation 2018-12-04 10:17:21 -05:00
matlabbe
26b33b12af Updated -march=native warnings with latest PCL version 2018-12-02 13:54:17 -05:00
matlabbe
f0ea8ab076 OdometryThread: fixed data buffer ignored if imu is always set 2018-12-01 00:53:36 -05:00
matlabbe
abbcc4f8a9 CameraFreenect: set accelerometer values in IMU member of SensorData. OdomF2M and OdomF2F: intialize orientation with gravity for the first frame if accelerometer value is valid in SensorData. 2018-12-01 00:25:48 -05:00
matlabbe
8a8f46c325 fixed #341 2018-11-29 18:21:12 -05:00
matlabbe
d2813ed70b fixed vtkGUISupportQt linker errors on RPI3 2018-11-28 14:10:29 -05:00
matlabbe
0167687c6b Link: Covariances are added on merge when output is NeighborMerged (reduced graph) 2018-11-27 09:23:16 -05:00
matlabbe
ca27dbd2fe Fixed #339 and #289 2018-11-21 14:47:15 -05:00
matlabbe
b862d6bc48 0.18.2: Added Odom/GuessSmoothingDelay parameter 2018-11-21 11:57:04 -05:00
matlabbe
5ae2f487b4 Odom: Updated error msg when invalid stamps are received 2018-11-19 18:19:24 -05:00
matlabbe
283c1df00c Fixed labels not correctly shown. Fixed planner not sending next goals when memory management is disabled. 2018-11-19 18:00:24 -05:00
matlabbe
bf2a9db5e4 Fixed memory usage for grid and statistics 2018-11-15 20:52:53 -05:00
matlabbe
963aea5c0d OccupancyGrid:segmentCloud() reset indices ptr to make sure the returned pointer is valid 2018-11-15 10:08:04 -05:00
matlabbe
9efd7c14fc Updated stereo block matching approach (when Stereo/OpticalFlow=false) 2018-11-13 14:25:21 -05:00
matlabbe
227f8c4f86 Camera: fixed freezing when changing online frame rate from non zero to zero 2018-11-10 11:43:58 -05:00
matlabbe
be498b4cb7 bump 0.18.1 version 2018-11-09 21:01:05 -05:00
matlabbe
015c442f1c DetectMoreLoopClosures: update optimized poses and clear occupancy grid saved in database 2018-11-09 20:36:58 -05:00
matlabbe
be1532b809 Updated wifi example 2018-11-09 18:09:12 -05:00
matlabbe
8333677dc6 Improved/optimized Rtabmap timing performance for large datasets 2018-11-09 17:28:55 -05:00
matlabbe
3bb874825f Optimizer:getConnectedGraph() don't add poses not included in the input poses 2018-11-09 17:14:09 -05:00
matlabbe
c43bd6cd3f Fixed backward compatibility error with libpointmatcher < 1.3.0 2018-11-09 16:06:44 -05:00
matlabbe
5159171bf3 Fixed build with latest libpointmatcher version 2018-11-09 10:12:30 -05:00
matlabbe
c5057eb6b3 exportGraph: added RGBD-SLAM format (10) without motion capture coordinate transformation (#332) 2018-11-08 12:26:37 -05:00
matlabbe
433e20869c fixed #333 2018-11-08 10:52:12 -05:00
matlabbe
0c4a91df8a New tool: rtabmap-detectMoreLoopClosures 2018-11-06 17:19:16 -05:00
matlabbe
71ae076b44 BayesFilter: improved performance when prediction didn't change or only a new id is appended to prediction. Memory: fixed seg fault when using local bundle adjustment on loop closure and memory management is enabled. 2018-11-06 14:45:57 -05:00
matlabbe
1784a0877f PostProcessingDialog: don't close dialog if validate failed 2018-11-05 18:49:50 -05:00
matlabbe
09a63bbc5b Rtabmap::detectorMoreLoopClosures() added intraSession and interSession parameters 2018-11-05 18:40:08 -05:00
matlabbe
4f1deef971 Proximity detection by space: sort nearest paths by likelihood values 2018-11-05 14:24:04 -05:00
matlabbe
c2b1a9fbd7 Fixed long loading time of large working memory 2018-11-05 11:50:49 -05:00
matlabbe
9d62d04459 Update README.md 2018-11-02 13:29:11 -04:00
matlabbe
d02bb9af5d Update .appveyor.yml 2018-11-02 13:28:30 -04:00
matlabbe
f670f71d47 Updated appveyor with yaml-cpp dependency 2018-11-02 12:45:57 -04:00
matlabbe
b96bc2a240 Detecting OPENCV_ENABLE_NONFREE if set on OpenCV>=3.4.3 2018-11-02 11:52:35 -04:00
matlabbe
8eda6cbdf0 Update .appveyor.yml 2018-11-01 19:26:04 -04:00
matlabbe
f05eefd80c CMake: fixed MSVC detection for /MP 2018-11-01 18:07:52 -04:00
matlabbe
4bfa1c2752 Windows: Added /MP for parallel compilation with MSVC 2018-11-01 17:49:18 -04:00
Mathieu Labbé
961549d375 Updated CameraStereoFlyCapture2 with triclops new API 2018-11-01 17:17:38 -04:00
matlabbe
4e3e5872fc Update .appveyor.yml 2018-11-01 11:25:11 -04:00
matlabbe
de7ceb91dd Windows packaging: adding missing qwindowsvistastyle.dll to get windows Vista/7/10 native look 2018-11-01 10:38:09 -04:00
matlabbe
d62dcdd29a Updated appveyor with more dependencies, updated zed find package on Windows, updated FindFlyCapture2.cmake 2018-10-31 20:56:34 -04:00
matlabbe
8087774961 Added contributor to CameraStereoTara files 2018-10-31 11:05:06 -04:00
matlabbe
fad1993a01 Preferences->Source: added Tara stack widget panel 2018-10-31 11:00:01 -04:00
e-con Systems India Pvt Ltd
53513b6632 Tara Camera added to Master branch (#331)
* Tara Camera integration

* Update preferencesDialog.ui

* Update preferencesDialog.ui
2018-11-01 02:57:07 +12:00
matlabbe
bb4164a05d CloudViewer: added some getters 2018-10-30 17:42:43 -04:00
matlabbe
69f3116158 Updated reprocess 2018-10-30 10:40:35 -04:00
matlabbe
e57b722ce2 Reprocess: if Mem/IncrementalMemory is false and more than one input file is provided, init rtabmap with the first and do localization with the others. 2018-10-29 17:00:42 -04:00
matlabbe
a43eccdac8 MainWindow: clear cacheLocalizationsCount when unchecking the option 2018-10-25 19:08:00 -04:00
matlabbe
12a7349165 Removed Optimizer:computeBACorrespondences() duplicated 3d points (more than 2 frames can reference a 3D point), added option to rematch features. Bundler: added more options to export dialog, fixed inverted colors. 2018-10-25 16:31:13 -04:00
matlabbe
1ef61db73b Bundler: fixed 3D points orientation, added color. 2018-10-24 20:34:53 -04:00
matlabbe
c14e20330f Fixed SIFT octave issue causing registration to always fail. Added Bundler export points option. 2018-10-24 20:01:57 -04:00
matlabbe
299bec15ff DBReader: publish global pose if prior link is detected, negative image rate means now a ratio of the database stamps 2018-10-24 09:26:41 +12:00
matlabbe
8e99291e13 0.18: Camera calibration and LaserScan Info refactoring (#324)
* Saving full camera calibration in database, added angle min/max/inc to LaserScan.

* Updated laserscan info save/load in db

* Database: added Tag table, added env_sensors field to Node

* fixed serialization/deserialization of stereo camera model

* fixed multi-calibration db saving

* fixed rebase errors

* Tango: Added saving environmental sensors option

* Memory: Save env sensors

* Tango: fixed env sensor ids

* DBViewer: show env sensors values

* DBViewer: added calibration details on tooltip

* increased package version to 0.18.0

* Fixed LaserScan copies when angleIncrement is valid

* fixed build error without OctoMap dependency
2018-10-23 14:35:14 -04:00
matlabbe
8701ae6de0 Update OptimizerG2O.cpp
#323
2018-10-24 06:18:10 +12:00
matlabbe
d2c406f019 fixed build without g2o (#323) 2018-10-24 06:16:40 +12:00
matlabbe
d2abc3a237 Added parameter Rtabmap/LoopGPS (default true) to enabled/disable the use of GPS in likelihood computation 2018-10-22 14:39:30 -04:00
matlabbe
3bc8fc4c11 Integrated GPS into likelihood computation 2018-10-22 12:31:07 -04:00
matlabbe
93a3a667c8 fixed build errors with OpenCV2 caused by commit 39e1d45369 (OpenCV4) 2018-10-21 13:53:49 -04:00
matlabbe
39e1d45369 Fixed build with OpenCV4 (#322) 2018-10-21 13:35:03 -04:00
matlabbe
cc91208057 Tango: fixed wrong bearing value on landscape orientation 2018-10-18 18:23:52 -04:00
matlabbe
5d54c0e26c Tango: updated copyright years 2018-10-18 17:25:57 +00:00
matlabbe
5fc9f859ce Tango: set third person camera by default, scan media file on SD-card when saving database (fixed issue of database just saved not seen with MTP when connected by USB) 2018-10-17 14:05:22 -04:00
matlabbe
4c7b565391 Refactored Optimizer::getConnectedGraph() to estimate poses based on links, we can then remove Optimizer::optimizeMultiSession(). Rtabmap: if poses and guess are not the same before optimization, do Optimizer::getConnectedGraph() to get pose estimates based on links instead of odom (to make optimization more robust to memory management and multi-session). 2018-10-16 18:55:36 -04:00
matlabbe
f1546c1fca Replaced all optimizeIncremental() by optimizeMultiSession() to fix GTSAM errors when merging multiple maps together. DBReader: always publish saved stamp. DBViewer: added actions to set covariance of all neighbor or loop closure links. 2018-10-15 17:07:18 -04:00
matlabbe
b2c012d8bc Updated g2o and toro saveGraph() to use Optimizer's parameters (#320, #319) 2018-10-15 13:41:44 -04:00
Nuno Marques
42c60c7154 OptmizerG2O: add prior edge export (#319)
* OptmizerG2O: add prior edge export

* add required conditions and structure to export prior edges

* for now, make the graph exportation of priors not dependent of parameters

* include <locale.h> so to use setlocale() in a windows build
2018-10-15 11:58:57 -04:00
matlabbe
444b511548 rtabmap: use last argument with db suffix as the database used (fixed issue when setting a dictionary path as argument) 2018-10-15 11:33:46 -04:00
matlabbe
527cbddb4b rtabmap app: default log level is now warning. This avoids showing log stuff when using --params argument for example. 2018-10-12 16:03:29 -04:00
matlabbe
7fdd212462 rtabmap-reprocess supports multiple input databases. Arguments "--params map.db" output parameters of the database in INI format 2018-10-12 15:53:44 -04:00
matlabbe
9f31830f03 Install system libraries only in BUILD_AS_BUNDLE mode, install vcomp###.dll is built with openmp 2018-10-11 15:19:20 -04:00
matlabbe
e4098cb54b Fixed GTSAM search by ignoring findGTSAM.cmake file from PCL 2018-10-11 14:28:41 -04:00
matlabbe
aa13ea1a80 Update .appveyor.yml
Added GTSAM_DIR variable to cmake to help finding GTSAM, Using OpenCV2 instead of OpenCV3 binaries as BRIEF is not available in OpenCV3 binaries.
2018-10-09 20:46:58 -04:00
matlabbe
b717910db8 Fixed QMutex still locked on exit warning. Removing old parameters from ini file on saving. Memory: Removed completely the use of Vis/CorType (only used by F2F odom). 2018-10-04 17:09:03 -04:00
matlabbe
16309e6d18 Added StereoSGBM (fixed #77) (#318)
* Added StereoSGBM class

* fixed StereoSGBM build for OpenCV2
2018-10-04 16:10:16 -04:00
matlabbe
a1079761e7 fixed #317 2018-10-04 11:06:47 -04:00
matlabbe
6b5990aa04 odom variance verification limited to yaw if 3dof registration/optimization is done 2018-10-02 18:02:55 -04:00
matlabbe
ae08adb8bd warn odom high variance only one time 2018-10-02 15:32:26 -04:00
matlabbe
711184c465 Windows: Fixed linker error 2018-10-02 00:07:34 -04:00
matlabbe
b5dec56eaf Parameters: added RGBD/LoopCovLimited, refactored "detect more loop closures" in MainWindow/DBViewer/rtabmap 2018-10-01 20:22:20 -04:00
matlabbe
0059a4bc1b Camera refactoring (#315)
* Camera Refactoring part 1 (Mac OS X)

* fixed camera*** -> Camera***

* Fixed build for cameras Zed/RealSense/RealSense2

* increased version to 0.17.7

* fixed build for cameras K4W2 and FlyCapture2
2018-10-01 19:33:56 -04:00
matlabbe
eb38b9cfab Update README.md 2018-10-01 11:28:51 -04:00
matlabbe
459f0b7fa0 Update README.md 2018-09-30 16:13:04 -04:00
matlabbe
db3b901063 Update package.xml
Bump package version
2018-09-29 11:58:58 -04:00
matlabbe
8b055752aa RegistrationIcp: Fixed invalid variance set when structural complexity is low and input doesn't have normals. DBViewer: added check on angular error after optimizing the graph when adding a new constraint. Memory: added warning if odom angular variance detected is very high. 2018-09-28 22:02:07 -04:00
matlabbe
dbb9cfa77a Parameters: Updated description of Rtabmap/TimeThr and Rtabmap/MemoryThr (https://github.com/introlab/rtabmap_ros/issues/276) 2018-09-28 15:37:24 -04:00
matlabbe
95e87fed14 MLS: added output voxel size parameter 2018-09-28 09:45:43 -04:00
matlabbe
02fdd677cf 💄 2018-09-27 16:08:55 -04:00
matlabbe
3b74534567 Parameters: Mem/LaserScanNormalRadius should be a float 2018-09-27 14:28:51 -04:00
matlabbe
790b0e5cf7 Memory: undistortion of features can be done also for RGB-only case 2018-09-27 10:19:28 -04:00
matlabbe
5e08da51aa RealSense: fixed color rectification. Fixed ZR300 odometry frame. 2018-09-26 20:51:12 -04:00
matlabbe
0c2287df77 CameraModel fisheye model: fixed typo 2018-09-25 14:36:59 -04:00
matlabbe
b581a62c89 Fixed build with opencv < 2.4.10 for missing fisheye model 2018-09-24 15:09:12 -04:00
matlabbe
c341648a44 Added parameter "Rtabmap/RectifyOnlyFeatures". Added support of fisheye distortion model. 2018-09-24 14:36:54 -04:00
matlabbe
f903ffb927 Fixed regression errors for OpencV2 (#309) 2018-09-18 23:03:40 -04:00
matlabbe
124543c57d Fixed compilation errors with OpenCV 4.0.0 (#309) 2018-09-18 22:43:18 -04:00
matlabbe
829f05e2fb Implemented missing max angular optimization error check for RGBD/OptimizeMaxError 2018-09-18 22:34:15 -04:00
matlabbe
d936b2d35a Added '*' to cmake info to show dependencies affecting default parameters 2018-09-18 17:00:37 -04:00
matlabbe
84a8e5830e fixed https://github.com/introlab/rtabmap_ros/issues/274 2018-09-18 12:30:01 -04:00
matlabbe
eedc68c360 fixed #312 2018-09-18 12:20:15 -04:00
matlabbe
0cf37fbbf1 Added D415 icon 2018-09-15 11:37:02 -04:00
matlabbe
5f6dd0846d NoEventsExample: updated usage example info 2018-09-07 13:11:39 -04:00
matlabbe
3c15563569 fixed sqlite3 cmake info not correctly shown 2018-09-05 15:03:50 -04:00
matlabbe
1f985ddef0 FindSqlite3.cmake: removed sqlite3 executable search 2018-09-05 12:05:16 -04:00
matlabbe
43e144e7b6 CMake: using external sqlite3 is available, otherwise use internal copy. 2018-09-05 14:22:34 -04:00
matlabbe
9c70b7116b fixed a cmake warning 2018-09-04 19:01:43 -04:00
matlabbe
3c1095be65 Windows: BUILD_AS_BUNDLE option should now be set to ON to create package with all dependencies embedded, otherwise only rtabmap libraries and headers are installed (like default on linux and Mac). 2018-09-04 15:44:37 -04:00
matlabbe
89f27e84d0 💄 2018-08-29 15:36:53 -04:00
matlabbe
f64a5e75d5 fixed fovis.hpp not found when using kinetic libfovis branch of https://github.com/srv/libfovis 2018-08-29 14:48:30 -04:00
matlabbe
94178c8cde LOAM: set back to ON by default as the pull request (https://github.com/laboshinl/loam_velodyne/pull/66) has been integrated 2018-08-29 14:38:50 -04:00
matlabbe
30290c36d7 Rtabmap: Added deleteLastLocation() and rejectLastLoopClosure() methods 2018-08-29 12:29:11 -04:00
matlabbe
956f07785b Fixed build error (vtk version issue) 2018-08-28 17:29:20 -04:00
matlabbe
3e6f14f3bd CloudViewer: added camera Ortho mode context menu option 2018-08-28 17:07:36 -04:00
matlabbe
7cb39f02f2 CloudViewer: Reduced interactor motion from 10 to 5 2018-08-28 11:49:32 -04:00
matlabbe
c105804572 Moved DBDriverSqlite3.h to installed headers (changed some members from private to protected for easier inheritance) 2018-08-27 16:54:23 -04:00
matlabbe
f498cf1b1a CloudViewer: added getColor(id) and setColor(id) to change color of an actor 2018-08-25 11:41:28 -04:00
matlabbe
c0a2efe7e2 Fixed build with PCL <1.7.2 2018-08-24 16:17:30 -04:00
matlabbe
080d044c99 CloudViewer: added setInteractorLayer() function 2018-08-24 15:27:42 -04:00
matlabbe
cbf14bfa08 CloudViewer: set minimum ambiant light of 0.5 for all meshes 2018-08-23 16:18:04 -04:00
matlabbe
110f4a99ee CloudViewer: added addOrUpdateQuad() function 2018-08-23 11:59:24 -04:00
matlabbe
63af05ef88 CloudViewer: refactoring + added CloudViewerCellPicker class to ignore picking backfaces (when backface culling is on) 2018-08-21 16:11:05 -04:00
matlabbe
0c790005b2 ImageView: colormap not updated if depth cv image is not set 2018-08-17 15:30:13 -04:00
matlabbe
3ce6de573d ImageView: added depth colormap menu option 2018-08-17 15:28:23 -04:00
matlabbe
67aa4cd28e DbViewer: added decimation parameter for cloud visualization. ImageView: adding scaling to height menu option. 2018-08-17 14:01:11 -04:00
matlabbe
c18f3cd539 Added rtabmap-export example 2018-08-16 17:01:02 -04:00
matlabbe
9e13d5600a GUI: Fixed ProbMiss assert when resetting value to default 2018-08-16 16:51:29 -04:00
matlabbe
35d5200a3b Parameters in group GridGlobal: renamed OctoMapOccupancyThr to OccupancyThr, added ProbHit, ProbMiss, ProbClampingMin, ProbClampingMax. Using logodds approach from OctoMap to evaluate occupancy of standard grid map. ref https://github.com/introlab/rtabmap_ros/issues/269 2018-08-16 14:42:05 -04:00
matlabbe
e0858a9c2a GraphView: added orientation visualization on nodes 2018-08-16 11:21:25 -04:00
matlabbe
b8847fd006 0.17.5: added --version option on command line 2018-08-14 14:21:44 -04:00
matlabbe
714d95cc34 Removing redundant non null check before deleting a ptr in destructors #301 2018-08-09 15:53:47 -04:00
matlabbe
5e60a2596c DbViewer: show full covariance in Constraints View 2018-08-09 15:20:19 -04:00
matlabbe
f281db8dd0 Windows: removed yaml_cpp required if pkgconfig is installed 2018-08-07 20:34:46 -04:00
matlabbe
7f09a9e0cb fixed #293 2018-08-06 16:34:09 -04:00
matlabbe
fe52060de7 Update .travis.yml 2018-08-06 15:04:38 -04:00
matlabbe
d5128ddc18 Added parameter Mem/CovOffDiagIgnored (default true) 2018-08-05 12:51:50 -04:00
matlabbe
f938e8ce29 Calibration dialog: updated some tooltips 2018-08-03 14:49:39 -04:00
matlabbe
a0342671ac OccupancyGrid: added getCache() method 2018-08-02 16:53:44 -04:00
matlabbe
e03da92a90 FAST: disabled grid parameters by default 2018-07-27 16:41:19 -04:00
matlabbe
4d5b42ab79 rtabmap: parameters passed by arguments override those in the database loaded from command line. Dictionary: set words saved to avoid saving them in database (causing db error when remapping from an old db created by fixed dictionary). G2O: ba supporting words with negative ids. 2018-07-27 16:01:17 -04:00
matlabbe
b63590bf1d Memory: Fixed features with no id (-1) ignored for triangulation from motion. Dictionary: matching with negative word ids is now allowed 2018-07-26 20:41:54 -04:00
matlabbe
cfdee23d33 Statistics: added variance info of the loop closure/localization. GUI: Graph view option to show nodes on which loop closures/localizations happened 2018-07-26 14:40:16 -04:00
matlabbe
60499e895f Updated About dialog 2018-07-24 17:11:27 -04:00
matlabbe
ddacee6d8b rtabmap-report: ignoring --scale option if no ground truth is found 2018-07-24 14:38:14 -04:00
matlabbe
ae226cb1a2 0.17.4 (integrated MSCKF odom approach) 2018-07-23 15:56:53 -04:00
matlabbe
a7e70ab80b Set LOAM default off as a special pull request should be used to use it as a library without ros 2018-07-20 19:41:50 -04:00
matlabbe
e95cabb1fc fixed optimization error ratio bug where comparison was done using not highest ratio link but on highest abs error link instead. 2018-07-20 15:11:46 -04:00
matlabbe
173bd49a26 Handling intial odometry pose in all odometry approaches. For VIO approaches, gravity initialization is handled too. (#298) 2018-07-19 14:10:36 -04:00
matlabbe
9ae47b79f9 Working MSCKF 2018-07-18 16:15:41 -04:00
matlabbe
15e09cd0a8 Devel: new feature msckf_vio 2018-07-14 20:40:44 -04:00
matlabbe
89a0eb506b Fixed yaml-cpp not found on Ubuntu 14.04 2018-07-12 11:50:46 -04:00
matlabbe
4632c7650f Reloading fixed dictionary when clearing memory 2018-07-12 10:06:02 -04:00
Nicolai Behmann
281452434c Added support for OpenCV 3 CUDA ORB feature extractor and descriptor (#296)
* added cuda support for orb with OpenCV 3

* added support for OpenCV 3 CUDA ORB feature detector and descriptor
2018-07-11 12:33:31 -04:00
matlabbe
ccdde45323 fixed build without RealSense2 2018-07-10 15:06:20 -04:00
matlabbe
a3e13b8e72 appveyor: updated gtsam/pcl binaries 2018-07-10 13:58:34 -04:00
matlabbe
35bc2d06a6 Fixed building with RealSense2 on Windows 2018-07-10 13:09:52 -04:00
matlabbe
ee00f81b5b updated appveyor script 2018-07-10 12:30:23 -04:00
matlabbe
974db316ce updated appveyor script 2018-07-10 12:21:55 -04:00
matlabbe
d41c15dbc7 Rtabmap::computePath() added tolerance parameter to overwrite default RGBD/LocalRadius 2018-07-09 15:11:19 -04:00
matlabbe
41d5e11511 Preferences: updated a description text 2018-07-09 12:01:31 -04:00
matlabbe
c8100e1464 Gui: show graph color based on visual features 2018-07-09 11:33:39 -04:00
matlabbe
b783df397a fixed a cmake warning 2018-07-03 10:13:22 -04:00
matlabbe
62a64cd156 CameraRealSense2: increased wait time from 10 msec to 100 msec 2018-06-28 16:55:33 -04:00
matlabbe
675da6201a Added OdomLOAM/LocalMapping parameter 2018-06-28 11:30:21 -04:00
matlabbe
d447329bf1 Added LOAM (loam_velodyne) odometry support 2018-06-28 11:10:46 -04:00
matlabbe
10b452197d fixed build without realsense 2018-06-19 14:00:26 -04:00
matlabbe
973bf93c77 RealSense: added depthScaledToRGBSize option to be able to feed ORB_SLAM2 with depth and RGB images with same size #287. 2018-06-19 13:53:03 -04:00
matlabbe
c91431410e fixed g2o crash when failing computing marginals 2018-06-15 16:31:45 -04:00
matlabbe
a3bdb027e7 0.17.3: realsense2 and zed-m support 2018-06-15 14:37:22 -04:00
matlabbe
502d5e75e8 CameraRealSense2: added IR-Depth mode option 2018-06-15 14:35:54 -04:00
matlabbe
eb4de8e724 Added RealSense2 driver to UI 2018-06-15 13:29:08 -04:00
matlabbe
2060e0b1da Added CameraRealsSense2 driver (tested only with D435) 2018-06-15 12:24:00 -04:00
matlabbe
dfcd7ae1a8 Added QT_NO_KEYWORDS definition to avoid conflicts between boost and qt macros 2018-06-15 12:17:11 -04:00
matlabbe
c6d893bc98 MainWindow: Odometry visualization not updated if msgs are received faster than they can be visualized. ZED: self-calibration set to true by default (should be true for ZED-M vio) 2018-06-14 17:25:35 -04:00
matlabbe
f638add755 fixed #286 2018-06-14 15:20:54 -04:00
matlabbe
9f22a2b1f8 Updated CameraStereoZed to latest zed sdk (2.4) 2018-06-03 02:40:19 -04:00
matlabbe
432b0dc6f6 fixed a build error 2018-06-01 16:33:11 -04:00
matlabbe
7424a1f463 When Mem/DepthAsMask is false, features without depth are triangulated using odometry. Added parameter RGBD/LocalBundleOnLoopClosure. 2018-06-01 16:26:09 -04:00
matlabbe
0bf83c0cd6 fixed frame trail on ros indigo 2018-05-30 17:24:21 -04:00
matlabbe
230e6a311d fixed previous commit 2018-05-30 17:20:54 -04:00
matlabbe
26c004eee0 Fixed g2o build error on 14.04/Indigo 2018-05-30 16:21:06 -04:00
matlabbe
1914275fa8 0.17.2: compute marginals (covariance) on graph optimization 2018-05-30 15:35:08 -04:00
matlabbe
055cccd151 rtabmap: support two usb devices for stereo input 2018-05-29 15:43:02 -04:00
matlabbe
b6b0b9a984 Refactored and integrated pull request https://github.com/introlab/rtabmap/pull/285 2018-05-29 13:59:43 -04:00
matlabbe
0fc97c28c6 Merge pull request #284 from patrickelectric/corrections
PreferencesDialog: Add forgotten include
2018-05-29 12:48:49 -04:00
Patrick José Pereira
11c34d383d PreferencesDialog: Add forgotten include
Signed-off-by: Patrick José Pereira <patrickelectric@gmail.com>
2018-05-26 21:40:24 -03:00
matlabbe
c68dde70ec Memory: added getDatabaseUrl() function 2018-05-25 13:54:29 -04:00
matlabbe
124d78fefd CloudViewer: custom interactor can be set for convenience 2018-05-25 12:32:22 -04:00
matlabbe
d34a529116 Added Rtabmap/StartNewMapOnGoodSignature parameter 2018-05-24 14:53:47 -04:00
matlabbe
4df9ac995a Update .appveyor.yml 2018-05-22 15:42:45 -04:00
matlabbe
4149be47e0 appveyor: fixing gtsam and g2o download links 2018-05-22 12:28:55 -04:00
matlabbe
b7da3f7a97 appveyor: added g2o and gtsam dependencies 2018-05-22 12:04:15 -04:00
matlabbe
206c4fe09c appveyor: using qt 5.10.1 instead of deprecated 5.8 2018-05-22 11:50:30 -04:00
matlabbe
df7539a48e Update Parameters.h 2018-05-17 11:10:00 -04:00
matlabbe
9c91fb8cd8 0.17.1: Fixed issue #282 and https://github.com/introlab/rtabmap_ros/issues/243 2018-05-14 20:50:21 +00:00
matlabbe
5cdede1482 fixed a compilation warning 2018-05-10 13:57:02 -04:00
matlabbe
fa174be741 Updated rtabmap-kitti tool 2018-05-10 13:14:07 -04:00
matlabbe
5e93803eef GUI: Fixed "map id of node -1 not found" error when enabling nodes filtering (https://github.com/introlab/rtabmap_ros/issues/235) 2018-05-08 20:05:29 -04:00
matlabbe
bb0b12be27 Updated not incremental dictionary approach for save/reload (can set a database path as dictionary for convenience) 2018-05-08 18:50:39 -04:00
matlabbe
41e93ac6f0 Docker: re-added post_push so that additional tags are pushed with automated build 2018-05-07 09:28:08 -04:00
matlabbe
1df99efa14 Docker: added --cache-from to use cache 2018-05-06 23:46:04 -04:00
matlabbe
911b8158a4 Docker: added post_push hooks to add tags 2018-05-06 17:42:30 -04:00
matlabbe
e875c7d6d1 Docker: android scripts updated 2018-05-04 19:52:11 -04:00
matlabbe
0ddbb28fd2 RGBD example: added code example to generate/update the global occupancy grid from rtabmap events. 2018-05-04 19:13:07 -04:00
matlabbe
e54234ec50 Docker: fixing missing tag in automated build 2018-05-04 09:25:17 -04:00
matlabbe
6dd0cd27e1 Docker: added quotes around date, updated install_deps to use saved pwd instead of cd alone to return to root 2018-05-03 18:06:37 -04:00
matlabbe
ec50b0c366 Docker: added hooks for main docker images 2018-05-03 09:11:27 -04:00
matlabbe
97b61f885d Docker: added hooks/build to xenial build with CACHE_DATE 2018-05-03 08:56:47 -04:00
matlabbe
0d7b8f13d8 Docker replaced -j3 by -j8 2018-05-02 16:19:15 -04:00
matlabbe
2bf7d87b29 Docker: add g2o/gtsam/libpointmatcher to dockerfiles 2018-05-02 16:10:36 -04:00
matlabbe
8d5d50a198 Fixed 2 cmake minor warnings on standard build 2018-05-02 12:46:45 -04:00
matlabbe
aa743fc397 ROS: added libg2o dependency 2018-05-02 09:18:23 -04:00
matlabbe
29d16633f5 Added bionic dockerfile 2018-05-01 15:53:19 -04:00
matlabbe
d92debe356 rtabmap::triggerNewMap(): reverting commit d9716590b1 to clear optimized poses so that occupancy grid is cleared when triggering a new map. MapCorrection is kept not cleared to support Tango switching mapping<->localization mode without jumping. 2018-04-30 20:03:01 -04:00
matlabbe
52aed1041c using copied version of solvePnPRansac for OpencV 3.3.1 too (along OpenCV2) to have stable transformation estimation (e.g., outdoor stereo demo is getting lost very often with the version of 3.3.1) 2018-04-30 17:44:13 -04:00
matlabbe
8fec570c13 Added Rtabmap::setInitialPose() 2018-04-30 14:49:41 -04:00
matlabbe
a39d0840ce fixed #279 2018-04-30 11:16:26 -04:00
matlabbe
63cc86bdcd rtabmap: fixed optimization error seg fault when no maxLinearLink can be found 2018-04-27 19:42:30 -04:00
matlabbe
637514d00d DbViewer: fixed odom pose not added to odomPoses_ when a location doesn't have any links 2018-04-27 19:07:43 -04:00
matlabbe
b2db31ff18 Fixed backward compatibility error when saving statistics to db 2018-04-27 18:48:10 -04:00
matlabbe
b044bae304 DbViewer: added menu actions to view/update/export optimized mesh saved in database. CloudViewer: cubes can be added for convenience, fixed double-click not always working. util3d: added conversion function from LaserScan to PointCloud2, added conversion functions between polygons format saved in database and PCL polygons format with vertices. 2018-04-25 12:34:47 -04:00
matlabbe
f13e384a1b Added util3d::fixTextureMeshForVisualization() 2018-04-16 17:50:00 -04:00
matlabbe
bfce5cceb5 Fixed #275. Removed Grid/Scan2dMaxFilledRange parameter (use Grid/RangeMax instead). 2018-04-14 16:48:29 -04:00
matlabbe
344dc165bc fixed #276 and #277 2018-04-14 13:41:04 -04:00
matlabbe
79c4bd7850 Export: Added load and save settings buttons (#274) 2018-04-13 18:54:52 -04:00
matlabbe
a82261a4df Export: Added Poisson auto depth (value=0). CloudViewer: Added measuring tool. 2018-04-13 18:19:13 -04:00
matlabbe
57a62dbbfd util3d::mergeTextures: Added assert msg 2018-04-10 12:21:48 -04:00
matlabbe
cd125ae274 util3d::mergeTextures() added interface with single calibrations for convenience 2018-04-09 12:26:09 -04:00
matlabbe
d9716590b1 Rtabmap: don't reset mapCorrection transform when triggering a new map 2018-04-05 11:28:07 -04:00
matlabbe
2b00b2c1c5 Tango: 0.17 fixing broken localization on visualization 2018-04-05 11:00:16 -04:00
matlabbe
b3b0caa038 DbDriver: fixed save/load optimized mesh errors (0.17) 2018-04-05 10:15:06 -04:00
matlabbe
db0e833ce9 Tango: fixed build 2018-04-05 09:44:14 -04:00
matlabbe
592b7c66c5 0.17.0: saving optimized poses and last localization pose to database (https://github.com/introlab/rtabmap_ros/issues/220). Parameters: fixed Icp default parameters when not built with libpointmatcher, added RGBD/SavedLocalizationIgnored (default false). DbViewer: added Export/Import 2D map (https://github.com/introlab/rtabmap_ros/issues/213). 2018-04-04 19:14:13 -04:00
matlabbe
34b32f53f6 Merge pull request #273 from mlong-xii/patch-1
Fix laserscan from depth
2018-03-28 15:33:31 -04:00
mlong-xii
9ade28ee00 Fix laserscan from depth
Mathieu, unless I'm missing something, you intended to change this to isEmpty() correct?
2018-03-28 14:14:13 -04:00
matlabbe
99acc9a6e7 Windows: Reordered libraries with gtsam at the end (which is static on Windows) 2018-03-28 11:04:18 -04:00
matlabbe
d886c788e7 Fixed CMake keeping old install version path when changing version 2018-03-27 15:50:27 -04:00
matlabbe
d2f7d8a9c4 ExportDialog: Added OpenChisel meshing option 2018-03-26 18:06:41 -04:00
matlabbe
7143f693d2 Euroc tool: fixed build error when c++11 is not used #272 2018-03-26 11:13:06 -04:00
matlabbe
9cfdc00d64 Okvis: removed some compilation warnings when not built with okvis 2018-03-23 14:54:49 -04:00
matlabbe
4f6ab68318 Update README.md 2018-03-23 12:49:21 -04:00
matlabbe
7c6439e075 CameraStereoImages: removed warning telling to calibrate the camera when only pose calibration file is not found 2018-03-22 12:40:16 -04:00
matlabbe
420fecad51 Docker updated artful image. Memory: fixed 2x icp correspondence ratio error (>1.0) when creating registration for icp proximity detection 2018-03-22 11:22:47 -04:00
matlabbe
ef017c9e9d Docker: updated artful build 2018-03-22 10:07:19 -04:00
matlabbe
00412749e7 IMU: changed members from Eigen to cv to avoid seg faults about Eigen memory alignment when copying IMU object created dynamically (#270) 2018-03-21 21:31:41 -04:00
matlabbe
4188da2ef2 Docker: updated xenial with freenect/openni2 dependencies 2018-03-21 16:36:18 -04:00
matlabbe
8d93c275ab Tango: fixed optimized mesh where nans were removed before saving (causing trouble with corresponding polygons) 2018-03-21 16:00:12 -04:00
matlabbe
b0b3b491a0 Docker: added android/install_deps_host.bash. ExportClouds: default voxel size 0.02->0.01 2018-03-20 16:47:18 -04:00
matlabbe
dd59d3c713 Tango: fixed MaxOptimizeError value that now is a factor. Docker: updated tango download links 2018-03-18 18:47:13 -04:00
matlabbe
548f0b6130 Fixed Android build 2018-03-18 16:00:03 -04:00
matlabbe
f7e007018f fixed Windows build 2018-03-18 19:43:20 -04:00
matlabbe
436e82653c Parameters: updated default of Icp/CorrespondenceRatio and Icp/PMOutlierRatio. Fixed OptimizerG2O build with ORB_SLAM2. Fixed seg fault after restarting ORB_SLAM2 odometry. 2018-03-17 18:20:32 -04:00
matlabbe
ecf598e412 util3d::laserScanFromPointCloud(...): ignore NaN points and normals. RegistrationIcp: ignoring NaNs on conversion to PD format to fix some registration fails caused by NaNs. 2018-03-13 02:27:59 -04:00
matlabbe
257fe20c4f OdometryF2F: fixed published localScanMap in wrong frame 2018-03-13 00:01:32 -04:00
matlabbe
ba011169b8 DbViewer: don't modify ground truth values (previously they were aligned with root) 2018-03-12 20:57:34 -04:00
matlabbe
ffe50dad22 When exporting poses, set txt extension by default if not set 2018-03-12 20:26:34 -04:00
matlabbe
dc289ba635 DbViewer: when align with ground truth is enabled, exported poses are those aligned with ground truth 2018-03-12 18:51:55 -04:00
matlabbe
10724fac3b fixed opencv2/core.hpp not found 2018-03-07 20:55:10 -05:00
matlabbe
4969ece356 0.16.3: Added OKVIS support (tested only on EuRoC dataset). Added IMU/IMUThread classes. Added OdomOKVIS/ConfigPath and Rtabmap/ImagesAlreadyRectified parameters. MainWindow, limited odom local feature map to maximum 50 meters from current pose (to avoid VTK glitching with near/far clipping plane). 2018-03-07 19:43:30 -05:00
matlabbe
2fad881202 fixed a compilation warning 2018-02-23 17:55:31 -05:00
matlabbe
39b363d0b5 Memory: compute scan max range if not set on signature creation. 2018-02-23 15:52:59 -05:00
matlabbe
215eff3212 MainWindow: updated default 2d scan with normals color for map and odom 2018-02-23 11:13:26 -05:00
matlabbe
e1a0fc42ea Rtabmap: added ebug info when proximity scan matching is disabled 2018-02-23 10:47:07 -05:00
matlabbe
69d28db660 DbViewer: optimized fetching wm states from db, added checkbox along graph iteration slider to generate intermediate graphes. 2018-02-23 10:12:36 -05:00
matlabbe
c3ab04b436 Report: removed a test UERROR 2018-02-22 16:37:55 -05:00
matlabbe
918281a804 Rgbd_dataset: fixed Rtabmap/CreateIntermediateNodes not used 2018-02-22 12:09:03 -05:00
matlabbe
297cf3f51e 0.16.2: Added wm_state field to database's Statistics table. New parameter "Rtabmap/SaveWMState" (default false). DbViewer: added option in GraphView to show only poses of the root id that were in WM at that time 2018-02-21 18:19:20 -05:00
matlabbe
93e1d732c9 DbViewer: added option to align scans/clouds to ground truth for convenience 2018-02-21 15:13:02 -05:00
matlabbe
1bfde1f9f0 Neigbor refining can be done with any Registration approach. Memory::computeIcpTransformMulti(): correspondences ratio increased by two times to accept transform 2018-02-21 12:23:12 -05:00
matlabbe
489ab86ac7 dbviewer: fixed variance*100 for proximity by space links (multi-scan). 2018-02-21 10:08:48 -05:00
matlabbe
e8f7746c87 dbviewer: removed voxel filtering from scan display 2018-02-21 08:38:35 -05:00
matlabbe
db1139e89e Gui: fixed default color for scans from odom in MainWindow and constraint view in dbviewer. Recovery/reprocess: fixed triggering new map on covariance >=9999. Reg: repeatOnce not done if it has a child. Statistics: added time proximity by space visual info. 2018-02-20 17:33:48 -05:00
matlabbe
5c04ce257b DbViewer: can launch with a directory argument to set current workspace for convenience. 2018-02-19 16:37:17 -05:00
matlabbe
6cdb2a48fd OctoMap: improved projection performance 2018-02-19 16:25:55 -05:00
matlabbe
37cbf79b4c DbViewer: fixed occupancy grid color options. Reprocess: added grid total time including rtabmap stats 2018-02-18 21:32:19 -05:00
matlabbe
00559ce8d6 ground segmentaiton: adjusted cluster inlier with centroid below max height of biggest cluster 2018-02-18 15:30:20 -05:00
matlabbe
07244a8a73 Fixed occupancy grid created from PointNormal with RGB 2018-02-18 15:10:25 -05:00
matlabbe
d181bedbfc Gui 3d rendering: added default color scheme option, added min and max range options for laser scans 2018-02-17 09:46:08 -05:00
matlabbe
077b3ab59e RegistrationIcp: Added laserScanToDP() 2018-02-17 07:48:10 -05:00
matlabbe
edbed67afe Windows: added missing RTABMAP_EXP in LaserScan class. Memory: fixed wrong laser scan format set when filtering is enabled. 2018-02-16 20:56:48 -05:00
matlabbe
a947f8c783 Fixed 2d multi-scan matching fatal error 2018-02-16 20:23:42 -05:00
matlabbe
6e131dcd7e fixed build on linux 2018-02-16 19:54:49 -05:00
matlabbe
d24097f73d 0.16.1: Added LaserScan class with new "format" field to distinguish easier between all kind of laser scans (XYZ, XYZRGB, XYZI, XYZNormal...) 2018-02-16 19:20:54 -05:00
matlabbe
bfb3a58c01 Optimizer: added optimizeIncremental() method to solve optimization error problems when re-opening the database (when graph should be re-optimized from raw odometry poses, not latest optimized poses, #172) 2018-02-13 18:18:42 -05:00
matlabbe
02a64a7fa3 Added ctrl-c handling to reprocess and recovery tools. 2018-02-13 16:54:31 -05:00
matlabbe
3dfe1ccb1a DbViewer: updated warning msg when graph optimization fails. 2018-02-13 14:14:08 -05:00
matlabbe
c6e5f1c9f8 Fixed PCL extract indices filter workaround for PointNormal type (not defined in current released PCL). Compression: Fixed OpenCV memory leak when converting uncompressed depth image to 32F format. 2018-02-13 12:36:23 -05:00
matlabbe
4c0a612ab5 util3d_filtering: refactored implementations using templates. Parameters: Changed Grid/DepthMin|Max to Grid/RangeMin|Max, added Grid/PreVoxelFiltering, added GridBlobal/OctoMapOccupancyThr. OccupancyGrid: supporting input clouds already having normals. Memory: don't save working directory parameter to database. 2018-02-13 10:16:48 -05:00
matlabbe
09cae9cbd3 DbViewer: added color selectors for obstacle, ground and empty cells. 2018-02-12 11:32:17 -05:00
matlabbe
1595405871 DbSqlite3: fixed Feature.depth_[x,y,z] not saving correctly NaN values (then NaNs were wrongly converted to 0 on reload). Gui: Added stereo exposure compensation option in Source panel. 2018-02-11 16:07:26 -05:00
matlabbe
1c8c233ebf fixed compilation errors on octomap >=1.8 introduced by previous commit for octomap < 1.8 2018-02-09 11:02:01 -05:00
matlabbe
c2d0628da1 Fixed compilation errors with octomap < 1.8 2018-02-09 10:53:39 -05:00
matlabbe
2e58fa3c2f Fixed OctoMap build error with version <1.8 2018-02-08 22:04:50 -05:00
matlabbe
fced2c521c 0.16.0: Database updated with Data.empty_cells, Admin.opt_map, Admin.opt_map_x_min and Admin.opt_map_y_min fields. Changed Parameter Grid/ProjRayTracing to Grid/RayTracing (OctoMap ray tracing done for 3D local grids). Improved OctoMap performance. 2018-02-08 21:40:17 -05:00
matlabbe
e7ceacc215 Fixed broken incremental prediction matrix from commit 977d21e 2018-02-07 18:16:19 -05:00
matlabbe
a320eb5d8e ExportCloudsDialog: voxel size is now to 0.02 by default to limit the size of generated cloud (using too much RAM may result in a crash) 2018-02-06 11:34:54 -05:00
matlabbe
42199eefd2 Added --poses option to report tool. Reprocess tool: Export ground/obstacles when 3d map is created. 2018-02-06 11:31:39 -05:00
matlabbe
56df87e60c GraphViewer: Added "hide/show graph nodes" menu action, added 1% border when exporting to SVG 2018-02-04 14:18:39 -05:00
matlabbe
90ed9cd15c Added support for latest g2o code (with c++11 interface) 2018-02-03 15:43:32 -05:00
matlabbe
8ca3bca810 Fixed build error in rtabmap-reprocess without octomap. Fixed non c++11 build for BayesFilter. 2018-02-02 13:12:14 -05:00
matlabbe
5d2912baa1 Merge branch 'master' of github.com:introlab/rtabmap into devel 2018-02-02 11:47:54 -05:00
matlabbe
129ec29af5 Update .appveyor.yml
Added devel branch
2018-02-02 11:47:20 -05:00
matlabbe
70991cf173 fixed a compilation warning and updated usage of benchmarking tools 2018-02-02 08:51:38 -05:00
matlabbe
61199eff9c fixed CameraThread compilation error with OpenCV<3, added yaml-cpp dependency to travis 2018-02-02 08:35:06 -05:00
matlabbe
4991d3dbab fixed yaml-cpp optional requirement 2018-02-02 08:27:49 -05:00
matlabbe
3405e8b8e1 Merge branch 'master' of https://github.com/introlab/rtabmap into devel 2018-02-01 22:19:34 -05:00
matlabbe
977d21eed5 Update 0.15.4.
Parameters:
-Added "GridGlobal/MaxNodes=0", "Rtabmap/PublishRAMUsage=false", "Mem/DepthAsMask=true", "Kp/FlannRebalancingFactor=2.0", "Vis/DepthAsMask=true".
-Modified "Kp/DetectorStrategy=6", "Kp/MaxFeatures=500",  "Mem/UseOdomFeatures=true", "GFTT/QualityLevel=0.001", "GFTT/MinDistance=3", "RGBD/OptimizeMaxError=1", "RGBD/ProximityPathFilteringRadius=1", "Odom/GuessMotion=true", "Odom/VisKeyFrameThr=150", "OdomF2M/BundleAdjustment=1", "Vis/Iterations=300" if built with g2o, "OdomF2M/BundleAdjustmentMaxFrames=10", "OdomFovis/MinFeaturesForEstimate=20", "OdomORBSLAM2/MapSize=3000", "Reg/RepeatOnce=true", "Vis/PnPRefineIterations=0" if built with g2o, "Vis/CorGuessMatchToProjection=true", "Vis/BundleAdjustment=1" if built with g2o, "Icp/MaxCorrespondenceDistance=0.1", "Icp/PointToPlaneK=5", "Icp/PointToPlaneRadius=1", "Icp/PM=true" if built with libpointmatcher, "Stereo/MaxLevel=5", "Stereo/MinDisparity=0.5".

BayesFilter: optimized prediction matrix update. Use of new argument "ignoreLocalSpaceLoopIds" of Memory::getNeighborsId() to ignore loop closure link by space in prediction update.
CameraThread: Added stereo exposure compensation option.
CameraRGB: Added forceGroundNormalsUp option and added support of ground truth from EuRoC dataset.
Statistics: Added "Memory/RAM_usage/MB".
Transform: Added clone() method to do deep copy.
Graph::importPoses(): EuRoC format support (9).
Rtabmap: Local visual loop closures are now identified as GlobalClosure link type.
OccupancyGrid/OctoMap: updated how cache is used (old node retrieved can be re-added to map without re-assembling the whole map).
OdometryF2F: when using ICP, increasing correspondence distance for first two frames. If Vis/CorType=1 and registration fails, second guess without motion is done with Vis/CorType=0.
OdometryF2M/RegVis: updated how features are removed from the map, using new projectedIDs filled in RegistrationInfo by RegistrationVis.
OdometryORBSLAM2: Maximum size of the feature map can be set with "OdomORBSLAM2/MapSize" parameter.
CloudViewer: fixed opengl camera drifting in follow mode.
DatabaseViewer: Added optimization scale option. ConstraintsView: hide loop closure links if type is ignored in gui parameters.
MainWindow: Support of "GridGlobal/MaxNodes" parameters when updating the maps.
UPlot: don't show ellipses when not in graphics view mode, updated how "random" colors are attributed to curves
Added rtabmap-euroc_dataset tool. Updated rtabmap-kitti_dataset and rtabmap-rgbd_dataset tools.
Added rtabmap-reprocess tool.
2018-02-01 22:17:46 -05:00
matlabbe
09e0d0b9d8 Added RTAB-Map100.png logo of 100 pixels height for main readme to fix docker main page <a><img> tags not supported 2018-01-14 17:20:39 -05:00
matlabbe
79c38d66cb Fixed #255 2018-01-03 20:03:36 -05:00
matlabbe
d7871fec2b Db: Fixed octave field missing when opening databases prior to 0.12 2017-12-21 14:58:16 -05:00
matlabbe
9f80f4ac42 RegVis: convert to 3dof before SBA 2017-12-21 10:16:46 -05:00
matlabbe
d6058768fc RegVis: fixed out-of-range vector error when guess is used and we match to projections. ImageView: Added right-click menu option to set a fixed size for features 2017-12-18 14:38:54 -05:00
matlabbe
6a50b3f149 util3d::voxelize() added warning if cloud is not dense, indices empty but cloud not empty 2017-12-15 15:25:37 -05:00
matlabbe
35045aa9d7 CameraRGB: updated error msg when depth format is wrong 2017-12-15 11:14:02 -05:00
matlabbe
398ca1f8e4 0.15.3: util3d::computeVarianceAndCorrespondences(): added max angle parameters for normal type. util3d::downsample(): added Normal types support. OccupancyGrid: fixed 2d scan with 5 channels not handled correctly on update. 2017-12-13 18:12:40 -05:00
matlabbe
7091406abc Merge branch 'master' of https://github.com/introlab/rtabmap into devel 2017-12-13 18:07:54 -05:00
matlabbe
c21d478f5d ExportCloudsDialog: added more decimals to camera filtering options 2017-12-12 11:16:12 -05:00
matlabbe
f973fc3743 Merge branch 'master' of https://github.com/introlab/rtabmap into devel 2017-12-11 17:10:08 -05:00
matlabbe
d776092b35 RtabmapThread: when receiving new map event from odometry, wait until the buffer has reached the corresponding timestamp before triggering a new map. DBReader: regenerate stamps when sync capture rate with stamps in database is false. MainWindow: ask for PNG or JPEG format when activating auto capture. 2017-12-11 17:09:04 -05:00
matlabbe
775b80eff5 0.15.2: Fixed Transform's not orthogonal rotation matrix causing problems with GTSAM (normalize rotation each time transforms are multiplied, and for backward compatibility automatically normalize rotation of all transforms loaded from old databases prior to 0.15.2). Added Vis/CorGuessMatchToProjection, Icp/PMMatcherKnn and Icp/PMMatcherEpsilon parameters. CameraRGB: fixed max scans number when filtering. Link: transfering maximum covariance when merging. OptimizerGTSAM: updated how covariance are copied based on GTSAM official example. util3d::loadBINCloud(): fixed dim parameter not used. DatabaseViewer: Added option in graph view to ignore intermediate nodes when optimizing the graph. 2017-12-09 21:44:53 -05:00
matlabbe
ff135322f6 Odom/AlignWithGround: fixed random crash when input is stereo and voxel filter is complaining about leaf size too small (limited max depth to 10 meters) 2017-12-06 15:40:41 -05:00
matlabbe
dafaac412f DbViewer: fit in view the graph when changing iterations. Limited to 900MB creation of the grid map (in case graph is very erroneous). 2017-12-01 11:56:27 -05:00
matlabbe
4452e637ad 0.15.1: CameraImages: added ground truth time diff, fixed memory leak when loading binary scans. CameraRGBDImages and CameraStereoImages: fixed start id. Feature2D: added grid rows and cols parameters (Kp/GridRows, Kp/GridCols, Vis/GridRows, Vis/GridCols). OdomInfo: publish bundle frames. OdometryORBSLAM2: added OdomORBSLAM2/Fps and OdomORBSLAM2/MaxFeatures parameters. Registration: added Reg/RepeatOnce parameter and removed variance normalization. For util2d::getDepth() and util3d::projectDepthTo3D(), maxZError parameter is now depthErrorRatio to be dependent of the sensor range. Database: save image width and height from stereo calibration. OptimizerG2O: fixed SBA optimization when using g2o built from ORBSLAM2 library. OptimizerGTSAM: to increase optimization stability, all rotations in information matrix are divided by 100000. Added rtabmap-report tool. 2017-11-30 16:52:03 -05:00
matlabbe
821c1c938e DataRecorder: Can record odometry data if odometry is published by the camera (zed or realsense) 2017-11-21 14:14:37 -05:00
matlabbe
1df95702a3 DbViewer: Fixed octomap visualization when ground is not segmented 2017-11-21 13:24:21 -05:00
matlabbe
274e7c579e Added some warnings 2017-11-14 16:28:47 -05:00
matlabbe
b820e98bdc Stereo: min and max disparity parameters are now float. ImageView: adjusted background color of info boxes. 2017-11-14 11:36:37 -05:00
matlabbe
10c5cb3721 GUI: Added missing Rtabmap/ComputeRMSE parameter 2017-11-10 16:03:25 -05:00
matlabbe
cc7db6190f fixed --quiet option in dataset tools 2017-11-09 12:48:47 -05:00
matlabbe
9a9d81ca18 fixed build error with g2o: no member named 'linear' in 'g2o::SE2' 2017-11-09 12:22:32 -05:00
matlabbe
71d9816f4b 0.15: statistics are now compressed in database. Eigen issue: using linear() instead of rotation() to get rotation from affine3f. Increased loading speed of statistics in DatabaseViewer. Added graph:calcRMSE(). 2017-11-09 12:03:01 -05:00
matlabbe
8cdd138143 CameraK4W2: added depth to color registration. For CameraFreenect2, kTypeColor2DepthSD is now used by default. 2017-11-06 22:59:12 -05:00
matlabbe
7dabfdc207 Added CameraK4W2 (Kinect for Windows SDK v2 driver) 2017-11-06 00:19:12 -05:00
matlabbe
65e82eb37e appveyor: updated PATH to put qt bin before cmake bin 2017-11-05 18:03:33 -05:00
matlabbe
8a14e6ccb4 Update .appveyor.yml 2017-11-03 22:14:37 -04:00
matlabbe
5dadcf3862 apppveyor: activated gui build 2017-11-04 01:38:16 -04:00
matlabbe
c001ff763a appveyor: disabled GUI build as QVTK lib is not built yet 2017-11-03 23:20:35 -04:00
matlabbe
3c59b601b5 updated appveyor.yml 2017-11-03 22:13:18 -04:00
matlabbe
4cb0d23136 updated appveyor.yml 2017-11-03 22:12:40 -04:00
matlabbe
2fd29c4b78 updated appveyor.yml 2017-11-03 22:04:07 -04:00
matlabbe
c0344a56ff updated appveyor.yml 2017-11-03 21:39:13 -04:00
matlabbe
16692d47b2 updated appveyor.yml 2017-11-03 21:19:54 -04:00
matlabbe
204b3e1159 updated appveyor.yml 2017-11-03 21:10:24 -04:00
matlabbe
41d4ee20b0 updated appveyor.yml 2017-11-03 20:59:34 -04:00
matlabbe
4d17f3c2ff updated appveyor.yml 2017-11-03 20:54:27 -04:00
matlabbe
353fe177f4 updated appveyor.yml 2017-11-03 20:53:22 -04:00
matlabbe
4dc4239963 updated appveyor.yml 2017-11-03 20:48:36 -04:00
matlabbe
0a72cab089 updated appveyor.yml 2017-11-03 20:31:01 -04:00
matlabbe
57202b3ea0 updated appveyor.yml 2017-11-03 20:24:44 -04:00
matlabbe
69e7006cc8 updated appveyor.yml 2017-11-03 20:13:13 -04:00
matlabbe
7ee8652cc3 updated appveyor.yml 2017-11-03 20:02:11 -04:00
matlabbe
8f1331dab3 updated appveyor.yml 2017-11-03 19:54:57 -04:00
matlabbe
2998a54713 updated appveyor.yml 2017-11-03 19:47:45 -04:00
matlabbe
ccba8e155e updated appveyor.yml 2017-11-03 19:42:55 -04:00
matlabbe
e9317dc2c7 updated appveyor.yml 2017-11-03 19:36:04 -04:00
matlabbe
77f88e5cac appveyor.yml update 2017-11-03 11:47:10 -04:00
matlabbe
43649328cb update appveyor.yml 2017-11-03 11:35:33 -04:00
matlabbe
3629c8c493 added appveyor.yml 2017-11-03 11:33:21 -04:00
matlabbe
426a2f983c fixed mapId for pose -1 not found error when filtering nodes to be shown 2017-10-29 13:23:38 -04:00
matlabbe
85273b9ed7 fixed max tango pose radius 2017-10-29 10:48:04 -04:00
matlabbe
461dba87db fixed build without openni2 2017-10-25 17:58:08 +02:00
matlabbe
d4982a8f24 CameraOpenni2: added ir/depth shift parameter 2017-10-25 15:11:26 +02:00
matlabbe
de5f3657ab PreferencesDialog: added virtual getDefaultWorkingDirectory() for convenience (can be changed in inherited class) 2017-10-25 10:56:43 +02:00
matlabbe
7a2ddd3905 fixed statsProcessed() not emitted at the right place 2017-10-25 09:56:05 +02:00
matlabbe
d5200f859d MainWindow: added signals after statistics/cameraInfo/odometry and 3D map event have been processed 2017-10-25 09:48:00 +02:00
matlabbe
6cee1d9ee6 RtabmapThread: UserData events are added to next node created instead of the last node created (same as rtabmap_ros UserData service) 2017-10-24 19:53:40 +02:00
matlabbe
6b9d4fe7c5 Fixed reset camera orientation 2017-10-24 12:33:50 +02:00
matlabbe
303f315b3e fixed assert when Odom/AlignWithGround is true and generated cloud is empty 2017-10-24 11:40:58 +02:00
matlabbe
b6f41eecfd MainWindow: Fixed recovery msg error 2017-10-24 11:34:39 +02:00
matlabbe
c880366aaf Removed pcl visualization dependency from core lib 2017-10-24 10:05:39 +02:00
matlabbe
e40a7d6681 0.14.3: exposed all gui widgets to public API. CloudViewer: fixed camera orientation reset 2017-10-20 12:09:34 +02:00
matlabbe
b3149a2b55 Tango: fixed bug where black point clound is shown when visualizing a mesh with texture 2017-10-19 20:58:51 +02:00
matlabbe
37a9712532 CloudViewer: added pcl visualizer access for inherited classes 2017-10-18 12:28:07 +02:00
matlabbe
bcf65d4cae Windows: qvtk missing lib on apps building against rtabmap 2017-10-17 11:13:17 +02:00
matlabbe
521126c982 fixing docker latest build (exit not defined) 2017-10-13 09:29:13 -04:00
matlabbe
e2aea92e3b Tango: asking for sharing before showing share intent (to avoid automatically stop tango is we don't want to share) 2017-10-12 20:55:14 -04:00
matlabbe
e595f564b1 Parameters: removed Mem/LaserScanVoxelSize from getRemovedParameters() 2017-10-12 17:03:09 -04:00
matlabbe
bfbabc62c4 Tango: Localization mode can be used in visualization 2017-10-12 15:54:16 -04:00
matlabbe
d4248385f0 Added rtabmap::databaseRecovery() function, added rtabmap-recovery tool, added "Database recovery" menu action in DbViewer 2017-10-11 19:36:00 -04:00
matlabbe
ab0aad87ec Increased ZED version requirement to 2 2017-10-11 16:44:53 -04:00
matlabbe
5ac5ff638e Update README.md 2017-10-11 13:45:45 -04:00
matlabbe
ed80acd87f Update README.md 2017-10-11 13:45:24 -04:00
matlabbe
fa27757719 Update README.md 2017-10-11 13:44:55 -04:00
matlabbe
c02cc6d193 Updated About dialog 2017-10-11 13:40:31 -04:00
matlabbe
312f6515ff CameraFreenect2: fixed compilation error when not built with libfreenect2 2017-10-11 13:05:14 -04:00
matlabbe
f6315e48d0 CameraFreenect2: added pipelineName parameter 2017-10-11 12:50:57 -04:00
matlabbe
8b3cff9f4c Tango: bump apk version 2017-10-10 12:39:51 -04:00
matlabbe
400952b327 ProximitySpace: extracting all paths inside local radius up to max graph depth, no length limit of the proximity space links. Fixed local scan matching assembling bug when laser local transform is set. DbViewer: we can now refine proximity detection by space (laser scan matching). 2017-10-09 18:45:42 -04:00
matlabbe
007d23308a Tango: updated how memory used and database size are computed 2017-10-09 18:04:54 -04:00
matlabbe
66e79e23cb Tango: kill camera instead of join to avoid lag when clicking pause 2017-10-09 13:05:41 -04:00
matlabbe
4de2ed767b FlannIndex: Fixed size_t matrix allocation error on 64 bits system 2017-10-09 10:51:18 -04:00
matlabbe
49f9a1e8d7 Tango: fixed database saved in memory option when disabled (now disabled by default) 2017-10-08 21:55:27 -04:00
matlabbe
9a09db9212 Tango: added "Pose (x,y,z)" in debug view 2017-10-06 13:42:12 -04:00
matlabbe
1aad6d0517 Merge pull request #238 from nrasulnrasul/patch-1
Proper closing of name space with in the #RTABMAP_H_
2017-10-06 11:22:16 -04:00
nayabrasul
d927f1886c Update Rtabmap.h
Proper closing of name space with in the #RTABMAP_H_. Multiple includes of "Rtabmap.h" with in the application causing the compilation problem.
2017-10-06 16:57:30 +02:00
matlabbe
0b8ff7cc01 DbViewer: sorting loop closures by parent ids. When checking ignore pose correction, graph is optimized without them. 2017-10-05 17:10:15 -04:00
matlabbe
c4ae4919a5 Tango: some default parameters tuning 2017-10-02 17:44:59 -04:00
matlabbe
83e7f06500 Tango: offset odom origin when reset 2017-10-02 13:19:02 -04:00
matlabbe
9abd925ab7 Reset bayes filter when new map is triggered 2017-09-29 13:28:17 -04:00
matlabbe
7e0c17c5aa Bump tango apk version 2017-09-29 12:47:53 -04:00
matlabbe
6da7788f61 Tango: added GPS to default status when saved, reduced to 1 sec for GPS too old 2017-09-29 12:45:02 -04:00
matlabbe
b187409e59 ExportCloudsDialog: fixed assembled cloud not set to dense (as it should) before voxel filter 2017-09-29 12:03:48 -04:00
matlabbe
079be0e072 incremented release version in readme 2017-09-28 17:25:02 -04:00
matlabbe
81c8e1b192 Tango: add Maximum Motion Speed option (default low) to avoid blurry images 2017-09-28 17:15:53 -04:00
matlabbe
1220eab47a Added RGBD/LinearSpeedUpdate and RGBD/AngularSpeedUpdate parameters 2017-09-28 13:34:55 -04:00
matlabbe
44d1877892 Update AndroidManifest.xml.in
bumping apk version (google play store console error...)
2017-09-27 00:52:53 -04:00
matlabbe
11f8fda585 Tango: fixed switch preferences changing on scrolling on Jelly bean (https://issuetracker.google.com/issues/36941388#comment4) 2017-09-26 23:11:53 -04:00
matlabbe
81fe104f1b Update AndroidManifest.xml.in
Increased apk version
2017-09-26 19:48:40 -04:00
matlabbe
feab6211d4 fixed tango build 2017-09-26 16:34:02 -04:00
matlabbe
9691a4f361 Added GPS class for convenience, database viewer can view GPS values and export to KML format 2017-09-26 14:13:06 -04:00
matlabbe
8759fda632 Merge pull request #237 from Oubayda/patch-1
Update CameraThread.cpp
2017-09-26 11:40:27 -04:00
Oubayda
74ee322312 Update CameraThread.cpp
When Mirroring option is checked, a depth calibration cannot be done because of the new mirrored CameraModel named tmpModel have its imageSize set to cv::Size(0, 0) so the method named isValidForReprojection() (which used in CalibrationDialog.cpp to check that the camera model is valid to do the calibration method) always returns false
2017-09-25 21:50:09 +03:00
matlabbe
ef4aff7d34 fixed gps fields missing in non-android build 2017-09-21 21:28:39 -04:00
matlabbe
bfc393a090 0.14: added gps field to Node table in database (#226). Tango: saving gps if enabled, added Rename/Remove/Share on long click in Open dialog (fixed #233) 2017-09-21 20:59:45 -04:00
matlabbe
114490f01e Docker: added tango-dev Dockerfile 2017-09-20 12:38:46 -04:00
matlabbe
ad38632fc1 Fixed Tango build errors 2017-09-20 15:03:10 +00:00
matlabbe
b737df9c40 Merge branch 'devel' of https://github.com/introlab/rtabmap 2017-09-19 14:40:19 -04:00
matlabbe
fd18c0b2e9 Added Mem/LaserScanVoxelSize and OdomF2M/ScanSubtractAngle parameters. util3d::computeNormalsComplexity() now returns PCA's eigen vectors and values optionally. RegistrationIcp: detecting complexity of environment when PointToPLane is used, if too low, PointToPoint is done and movements are limited to main direction of the normals. 2017-09-19 14:15:17 -04:00
matlabbe
cf6478b633 util3d::transformLaserScan(): supporting 7 channels 2017-09-18 21:49:57 -04:00
matlabbe
a70996f079 util3d: Fixed color not copied on laser scan conversion 2017-09-18 17:00:15 -04:00
matlabbe
2aa56c8d49 MainWindow: Fixed seg fault on scan rgb without normals 2017-09-18 15:52:39 -04:00
matlabbe
b2fb7d5d5b Supporting g2o from ORB_SLAM2 2017-09-17 13:28:25 -04:00
matlabbe
16ffcc7684 DatabaseViewer: just show single axis on constraint viewer if built with PCL < 1.7.2 2017-09-11 20:59:36 -04:00
matlabbe
16c428e360 GUI: update logger filter ids after starting the camera. Update default value of parameters "Odom/ScanKeyFrameThr=0.9" and "Icp/PointToPlaneMinComplexity=0.02" 2017-09-11 14:44:39 -04:00
matlabbe
77bdff1e4b removed a debug log 2017-09-11 14:03:57 -04:00
matlabbe
1ae15911fc Fixed compilation warning of not used variables when some odom approaches are not supported 2017-09-11 14:00:08 -04:00
matlabbe
aca005c287 Added parameter "IcpPointToPlaneMaxComplexity". Added util3d::computeNormalsComplexity(). OdomInfo has now RegistrationInfo field to avoid duplicating members. 2017-09-11 13:17:53 -04:00
matlabbe
68fb5d7252 Calibration tool: fixed usb stereo option 2017-09-08 11:30:29 -04:00
matlabbe
380fc2cbde PreferencesDialog: Fixed odom stack widget index always set to ORB-SLAM2 on loading 2017-09-06 11:01:39 -04:00
matlabbe
39283a5526 RegistrationIcp: libpointmatcher setting PointToPLane force2D parameter 2017-09-01 18:12:19 -04:00
matlabbe
3e38e467a2 Merge pull request #231 from mlong-xii/master
KAZE - fix loading custom feature params
2017-08-31 18:06:51 -04:00
matlabbe
4f55b56d6b Odometry: 2D scans + normals support 2017-08-31 18:01:46 -04:00
mlong-xii
54c0b3e196 KAZE - fix loading custom feature params
KAZE feature detector does not load custom feature params (min/max depth, ROI, etc).
2017-08-31 16:41:01 -04:00
matlabbe
9eac47f7e8 Tango: Optional sharing to other apps after saving on device 2017-08-31 11:10:46 -04:00
matlabbe
7ec58c63e9 SensorData/Memory: fixed assert for scan channels 5 an 7 2017-08-28 17:37:57 -04:00
matlabbe
b70ffb6331 fixed multi scans matching with normals, removed some debug logs 2017-08-28 16:40:08 -04:00
matlabbe
423b47a5ff New 2d scan type: CV_32FC5 (x,y,normal_x,normal_y,normal_z) 2017-08-28 16:40:08 -04:00
matlabbe
52a4e8964f 0.13.3: scan2d with normals support/registration 2017-08-28 16:40:07 -04:00
matlabbe
964a052be1 Merge branch 'lunar-devel' of github.com:introlab/rtabmap 2017-08-28 16:38:43 -04:00
matlabbe
15a14e86ba Merge pull request #228 from mikaelarguedas/revert_libmpi_hack
remove hack now that upstream pcl has been rebuilt
2017-08-28 13:55:21 -04:00
Mikael Arguedas
eca0c72063 remove hack now that upstream pcl has been rebuilt 2017-08-28 09:54:40 -07:00
matlabbe
2353c98919 Update README.md 2017-08-25 12:00:11 -04:00
matlabbe
30e5a1a7aa Update README.md 2017-08-25 11:50:08 -04:00
matlabbe
d94db237a9 Update README.md 2017-08-25 11:45:27 -04:00
matlabbe
317aa3b6ed Parameters: added Icp/PMOutlierRatio for convenience 2017-08-23 12:22:58 -04:00
matlabbe
268c92a1af RegistrationIcp: added some debug logs to track down seg fault error caused by multiple Eigen version used to build third party libraries (should be same version than one used by libpointmatcher) 2017-08-22 17:40:05 -04:00
matlabbe
bc2c998b7c MainWindow: Enabled Help action menu 2017-08-22 16:47:48 -04:00
matlabbe
73c05d2d9d fixed build without libpointmatcher 2017-08-22 16:31:31 -04:00
matlabbe
f7872d346b libpointmatcher integration 2017-08-22 16:20:49 -04:00
matlabbe
d0d387a42f icp: set epsilon^2 as in pcl::DefaultConvergenceCriteria 2017-08-18 15:59:49 -04:00
matlabbe
84af88ee40 Update main.cpp 2017-08-17 10:37:28 -04:00
matlabbe
aa4f7571b9 C++ example: explicitly close rtabmap without saving to db to avoid error when quitting 2017-08-16 15:03:43 -04:00
matlabbe
b5b96a3edb Fixed ProximityByTime wrong guess transform. Fixed Icp correspondence ratio computation when using voxel filter. OdometryResetEvent: added pose to constructor. 2017-08-15 15:26:03 -04:00
matlabbe
1e335e53ba OdometryEvent: fixed velocity() returning always empty. Export: added options to filter blurred cameras based on laplacian threshold or velocity (#225). 2017-08-07 16:31:49 -04:00
matlabbe
75854fc026 OccupancyGrid: updated parameters check 2017-08-04 11:41:50 -04:00
matlabbe
d8a6ed4ba6 DbViewer: fixed voxelize assert when voxel size is set and there are no laser scans in database 2017-08-04 10:47:25 -04:00
matlabbe
459bbda60c increased package version to 0.13.2 2017-08-03 16:42:46 -04:00
matlabbe
2a9508b4e3 Fixed build for Lunar 2017-08-03 16:40:12 -04:00
matlabbe
c0c288e0d9 Tango: removed seekbar for FOV(use pinch zoom instead), show UI on single tap instead of swipe down 2017-08-03 11:52:18 -04:00
matlabbe
82fd5b36a8 util3d::cloud[RGB]FromSensorData(): supporting roi ratios for stereo images 2017-08-02 15:14:03 -04:00
matlabbe
dd3c7d8fa4 CameraStereoZed: fixed build for ZED sdk 2.1 (https://github.com/introlab/rtabmap_ros/issues/192) 2017-07-31 15:12:05 -04:00
matlabbe
b63f073d90 CameraStereoZed: handling initialization failures 2017-07-31 14:11:32 -04:00
matlabbe
0491125e92 fixed voxelize assertion with c++ rgbd mapping example 2017-07-26 16:00:02 -04:00
matlabbe
3443c3b8ea RegistrationVis: fixed assert covariance in bundle adjustement when transform is perfect (covariance is null) by setting an epsilon to generated covariance is null or very close to 0 2017-07-26 15:27:54 -04:00
matlabbe
be720be74a 💄 2017-07-26 11:46:59 -04:00
matlabbe
f3e491f15b Added KAZE feature detector (OpenCV3) 2017-07-25 16:20:05 -04:00
matlabbe
5855198b5f Tango: swipe down to show hud, added notification sound after saving or exporting, added polygon cluster filtering export option, action and status bars are transparent 2017-07-24 20:24:16 -04:00
matlabbe
62de6fcdae util3d::denseMeshPostProcessing(): coloredOutput param not used anymore 2017-07-24 19:21:22 -04:00
matlabbe
57dc0cd53e DepthCalibration: support depth images smaller than RGB images 2017-07-24 13:06:30 -04:00
matlabbe
0a1694dd78 MainWindow: Detect more loop closures: uncompress images when reextract features on loop closure is enabled 2017-07-24 12:18:19 -04:00
matlabbe
edc690973a DbViewer: added warning when reextract feature is false and signatures have no features 2017-07-24 11:48:49 -04:00
matlabbe
48148a9e26 DbViewer: fixed voxel assert 2017-07-23 22:33:26 -04:00
matlabbe
62b9911176 docker: fixed tango build with res tool prebuild 2017-07-13 14:33:52 -04:00
matlabbe
fb69a37445 docker missing g++ 2017-07-13 14:18:58 -04:00
matlabbe
81ae1eae51 docker update 2017-07-13 14:14:51 -04:00
matlabbe
517c70d855 CMake: added ANDROID_PREBUILD option 2017-07-13 13:36:34 -04:00
matlabbe
85f7c1e73c OccupancyGrid/voxelize: if organized cloud, indices should not be null 2017-07-13 12:23:03 -04:00
matlabbe
b4cfa0e844 RtabmapThread: use largest covariance instead of summation 2017-07-13 11:36:55 -04:00
matlabbe
3c758ab2f6 Update .travis.yml 2017-07-13 11:32:14 -04:00
matlabbe
1ed01b8d3d Memory: fixed cov->inf conversion error 2017-07-13 11:07:00 -04:00
matlabbe
19abbe0dbd DBViewer: fixing previous commit for very large databases (where we don't want to regenerate map if we don't show it) 2017-07-12 21:39:51 -04:00
matlabbe
c833af1ae6 DBViewer: fixed disabled show/hide map option while map is available 2017-07-12 21:26:14 -04:00
matlabbe
78bdd4a087 Added check if covariance is invertible, if not an error is thrown 2017-07-12 16:41:47 -04:00
matlabbe
dc77bb4332 OdometryViso2: updated for dynamic local transform 2017-07-10 17:34:37 -04:00
matlabbe
9e011d6ad9 Fixed changing local transform not handled correctly when changing for third party odometries 2017-07-07 19:41:11 -04:00
matlabbe
f9ed36ed54 Parameters: renamed Rtabmap/VhStrategy to VhEp/Enabled 2017-07-05 13:38:27 -04:00
matlabbe
495681770e Tango: updated About copyright year 2017-07-03 18:48:02 -04:00
matlabbe
eb1f0e0a8a Tango: aligned share sketchfab button to top (over pause) 2017-07-03 16:52:22 -04:00
matlabbe
23ae5caa3c Tango: bump apk version 2017-07-03 14:48:04 -04:00
matlabbe
4b7d558026 Tango: moved export to file button under share to sketchfab (fixing overlap of button on opengl status text), fixed export empty poses after resuming without relocalizing (append mode) 2017-07-03 14:42:48 -04:00
matlabbe
44969a7fdf Docker: added zesty 2017-06-29 14:32:12 -04:00
matlabbe
5f5c74f260 RGBDMapping example: fixed -lvtkproj4 not found error on Xenial 2017-06-29 16:59:15 +00:00
matlabbe
5646751f88 RTABMapConfig.cmake: Set WITH_GUI default true if no components are specified 2017-06-29 15:31:05 -04:00
matlabbe
b6d3e785df Tango: fixed export failing after saving the database 2017-06-29 10:31:59 -04:00
matlabbe
ebada30984 Tango: updated UI 2017-06-28 13:59:20 -04:00
matlabbe
64fc9f203e Tango: fixed build for Ikariotikos release 2017-06-27 11:45:51 -04:00
matlabbe
653d4fef4b Fixed Windows+PCL1.8 build (std::vector/Eigen error) 2017-06-26 15:45:30 -04:00
matlabbe
5cc04b58a4 Tango: updated sdk to Ikariotikos 2017-06-26 15:45:04 -04:00
matlabbe
f628da7a91 Merge branch 'master' of https://github.com/introlab/rtabmap into devel 2017-06-26 13:04:20 -04:00
matlabbe
a8853bdee6 ExportCloudsDialog: fixed scan output frame 2017-06-26 12:02:48 -04:00
matlabbe
5f8ffa7afc Fixed compilation warning 2017-06-22 11:49:02 -04:00
matlabbe
d74f4f64f7 Tango: Open: use small launcher image for old databases without preview image 2017-06-21 22:11:09 -04:00
matlabbe
3e7929bed6 Tango: Fullscreen mode 2017-06-21 20:54:16 -04:00
matlabbe
7a2d1c29f0 Tango: fixed saveOnDevice and shareSketchfab actions when visualizing optimized mesh of a just opened database 2017-06-21 17:14:40 -04:00
matlabbe
0a841f17a4 fixed desktop app with new util3d::mergeTextures() return value 2017-06-20 17:57:32 -04:00
matlabbe
ee8d48a915 Database: added "opt_****" fields in Admin table. Tango: optimized mesh saved in database for quick open, open menu shows preview images. util3d::mergeTextures() return all textures in same cv::Mat. 2017-06-20 17:29:06 -04:00
matlabbe
539d500528 Tango: bump version 2017-06-16 22:14:57 +00:00
matlabbe
3d1de43ff1 Tango: Hidden Presets chromium webview 2017-06-16 21:57:57 +00:00
matlabbe
e7998acf66 Update build.bash 2017-06-16 17:38:24 -04:00
matlabbe
e0640418e4 ExportCloudsDialog: fixed compilation warning 2017-06-16 16:59:55 -04:00
matlabbe
52a6cc5bad Tango: fixed sketchfab export ply error, exported objs are now rotated -90deg x-axis by default for sketchfab 2017-06-16 16:24:38 -04:00
matlabbe
8787ecceb8 Tango: refactored mesh creation 2017-06-16 14:44:48 -04:00
matlabbe
a1f2f95d1b fixed build 2017-06-15 19:39:22 -04:00
matlabbe
c3aeae5ed7 Moved clean texture mesh stuff from ExportCloudsDialog to util3d::cleanTextureMesh() 2017-06-15 14:10:08 -04:00
matlabbe
29ff2c5d0a RTABMapConfig.cmake: added components support 2017-06-15 15:59:52 -04:00
matlabbe
a7880dc3b0 RTABMapConfig.cmake: fixed dependencies path error when path has a space (LINK : fatal error LNK1181: cannot open input file 'C:\Program.obj') 2017-06-14 19:55:23 -04:00
matlabbe
ba4437edee Tango: replaced RTABMapApp::mergeTextures() by util3d::mergeTextures() 2017-06-14 10:33:26 -04:00
matlabbe
811afa1171 Moved ExportCloudsDialog::mergeTextures() method in util3d_surface module 2017-06-13 19:20:09 -04:00
matlabbe
29a48aba66 Tango: added wireframe button (#191) 2017-06-12 19:08:51 -04:00
matlabbe
c00119989e Tango: Added Ortho mode (#193) 2017-06-12 15:36:33 -04:00
matlabbe
bbaac8b2b1 Grid: support negative ground/obstacle height thresholds 2017-06-12 11:48:13 -04:00
matlabbe
9554597948 Tango: added multi-texturing support (#189) 2017-06-10 21:45:51 -04:00
matlabbe
774afe9fdd Tango: added presets (#190) 2017-06-10 12:29:57 -04:00
matlabbe
fa2199c3ea Merged master to devel 2017-06-10 10:34:52 -04:00
matlabbe
e321e1bb2c fixed output textures count 2017-06-09 17:51:13 -04:00
matlabbe
dfc425a7c5 Update Parameters.h 2017-06-09 14:58:23 -04:00
matlabbe
4ac422314d fixed some compilation warnings 2017-06-09 13:44:09 -04:00
matlabbe
ff6e42fa6d DbViewer: added more info about size of all tables in database 2017-06-06 18:22:19 -04:00
matlabbe
7a0a82bcb4 Texturing: using depth image to filter wrongly projected textures 2017-06-06 11:42:42 -04:00
matlabbe
fa95ede3e9 Fixed build 2017-06-05 19:35:03 -04:00
matlabbe
26147c97cf PArameters: don't show usage with ORBSLAM2 parameters if not built with it. 2017-06-05 19:10:04 -04:00
matlabbe
c4ca6a0bac Integrated ORB_SLAM2 as an odometry approach Odom/Strategy=5. 2017-06-05 19:04:23 -04:00
matlabbe
8de694b2d7 Tango: Hide buttons after 5 seconds not touching the screen 2017-06-03 20:06:45 -04:00
matlabbe
de797b644e Export: added rgb/gray gain compensation option, added maximum outout textures option (can be useful for #189). 2017-06-03 18:24:56 -04:00
matlabbe
c8357be4d0 cloudRGBFromSensorData(): just return empty cloud if inputs are not valid (don't assert) 2017-06-01 13:09:34 -04:00
matlabbe
657f0314e4 Updated warning when stereo is used with DVO odometry 2017-05-31 20:59:35 -04:00
matlabbe
4f26e34717 Integrated DVO odometry approach 2017-05-31 20:57:24 -04:00
matlabbe
133ed68152 Parameters --params: don't show those related to dependencies not built in RTAB-Map 2017-05-31 11:33:51 -04:00
matlabbe
e2c5b87a7e Parameters.h: normalized indendation 2017-05-31 11:09:06 -04:00
matlabbe
21e716b08a Updated default Vis/EstimationType=1 (PnP). Added all fovis and viso2 parameters. 2017-05-30 18:29:49 -04:00
matlabbe
f6e21bd6c8 Integration of viso2 odometry approach. 2017-05-30 14:03:46 -04:00
matlabbe
4ffbc0fb58 Integrated Fovis (Odom/Strategy=2) 2017-05-30 09:27:31 -04:00
matlabbe
6d6c5e2e17 Updated Create Calibration dialog 2017-05-26 11:46:02 -04:00
matlabbe
d795bea543 fixed #201 2017-05-25 14:48:39 -04:00
matlabbe
10c23e60b7 OptimizerG2O: removed fixed frame if a posePrior link is detected 2017-05-24 15:03:27 -04:00
matlabbe
6f9ac4b88b fixed some compilation warnings 2017-05-23 17:30:23 -04:00
matlabbe
f92025e120 docker: finally using OpenCV3 built from source with opencv_contrib (arm64-v8a is not in 2.4.13 android binaries) 2017-05-23 16:24:38 -04:00
matlabbe
392ae832b8 Docker: added opencv2 android, tango now linking on opencv2 (fixing gftt/brief not available) 2017-05-23 14:20:32 -04:00
matlabbe
87a5f69335 MainWindow: fixed localization pose reset to latest pose in map when lost (localization mode) 2017-05-23 12:00:33 -04:00
matlabbe
c8e1060ea4 Merge branch 'dronecrew-g2o_prior' into devel 2017-05-22 21:14:02 -04:00
matlabbe
e361abcecd Reg: normalize covariance angle /10 2017-05-22 21:11:36 -04:00
matlabbe
e8af8f7792 Added SensorData's globalPose and globalPoseCovariance field. Link: added new type PosePrior. g2o: adding edge prior for self-refering edges. Memory: adding self-refering link when SensorData's globalPose is set. 2017-05-22 21:05:34 -04:00
matlabbe
2e906f9b8a Merge branch 'g2o_prior' of https://github.com/dronecrew/rtabmap into dronecrew-g2o_prior 2017-05-22 11:59:16 -04:00
matlabbe
385b7e3389 Parameters: Added "Reg/VarianceNormalized". Registration: Transforms are now only normalized in Registration. Added rgbd_dataset tool. MainWindow: odom inliers-only shown option. ExportCloudsDialog: ignoring intermediate nodes for texturing (if they don't have data). DatabaseViewer: "optimized" checkbox enabled in Constraints view for non-neighbor links too. 2017-05-22 11:48:01 -04:00
matlabbe
48ba55d02c Fixed #197 (handling zed pose confidence == -1) 2017-05-18 17:32:00 -04:00
matlabbe
5223629ab1 Windows: fixe build error (discrete_depth_distortion_model.h) 2017-05-18 16:23:39 -04:00
James Goppert
a2a8638f28 Add edge prior to g2o. 2017-05-17 22:58:26 -04:00
matlabbe
58e6424bf7 Export Clouds: export scans integrated in the same dialog (remove export scans dialog) 2017-05-11 15:02:18 -04:00
matlabbe
d2255adc4e fixed unknown character 2017-05-11 15:02:18 -04:00
matlabbe
7f8ca64f64 DbViewer: added frame selection when exporting poses. DBDriver: added getLaserScanInfo(). 2017-05-11 15:02:18 -04:00
matlabbe
104c1e6945 0.13.0 Database: Added velocity field to Node table, renamed Map_Node_Word table to Feature, added information_matrix field to Link table (replacing rot_variance and trans_variance). Added graph::calcKittiSequenceErrors().Added "Mem/IntermediateNodeDataKept" parameter (default false). Updated all interfaces using rotVariance and transVariance values with covariance matrix instead. g2o SBA: always use covariance in links. kitti-dataset tool: added --disp option and kitti statistics are shown at the end. StatsToolBox: units can have "/". 2017-05-11 15:02:18 -04:00
matlabbe
414e3555a5 DepthCalibrationDialog: added distortion model parameters 2017-05-11 14:44:15 -04:00
matlabbe
c63b45dbf3 Merge pull request #194 from T0ny0/fix_Kinect2_depth_calibration
Depth calibration: using appropriate bin_width and bin_height for all cameras
2017-05-11 13:22:38 -04:00
Anton Onishchenko
197bb2179f Depth calibration: move GetBinSize to clams namespace 2017-05-11 11:38:42 +03:00
matlabbe
62fdb8d0af DbViewer: fixed not reextracted features when reextract features is on 2017-05-10 18:00:30 -04:00
matlabbe
98184c31de Export clouds/poses: frame reference can be selected when clouds are not assembled 2017-05-10 15:53:02 -04:00
matlabbe
ee04ad500a Fixed build when opencv2 gpu module is not here 2017-05-10 10:26:37 -04:00
Anton Onishchenko
df40b0b8d3 Depth calibration: using appropriate bin_width and bin_height for all cameras 2017-05-10 13:54:11 +03:00
matlabbe
8eab31c469 Docker: android-deps build with API19 2017-05-09 17:06:27 -04:00
matlabbe
474011033b CameraStereoZed: fixed parameters not used with svo input 2017-05-09 15:46:47 -04:00
matlabbe
5893e42a8d Docker: backward compatibility for yellowstone API=19 2017-05-09 11:55:08 -04:00
matlabbe
9d18f7b15f Update CameraStereo.cpp
fixed #192
2017-05-09 09:02:02 -04:00
matlabbe
b0c22e7a3a Docker: fixed armeabi-v7a copy to arm64-v8a 2017-05-08 13:23:38 -04:00
matlabbe
9ab78acf09 Docker: fixed android-deps api 21 2017-05-08 12:30:15 -04:00
matlabbe
aa6499e7e4 Docker: fixed final tango workdir 2017-05-08 11:58:17 -04:00
matlabbe
fffd3592d3 Tango: increased min API to 21 2017-05-08 11:51:51 -04:00
matlabbe
842da98e61 Docker: updated android files to build for arm64_v8a 2017-05-08 11:49:25 -04:00
matlabbe
eadeb3841b Export: CPU-TSDF mesh reconstruction integration 2017-05-05 21:44:06 -04:00
matlabbe
b25379c243 Odometry: Don't assert if dt is negative, just show error if guess from motion / kalman filter is used (https://github.com/introlab/rtabmap_ros/issues/169) 2017-05-05 16:25:03 -04:00
matlabbe
4d025568dc updated FindRealSense.cmake 2017-05-05 16:10:09 -04:00
matlabbe
c3ec7fbbe4 💄 2017-05-01 15:40:30 -04:00
matlabbe
14baca125d cloudFromDisparity(): adjusting decimation if not valid with current image size. Standalone: ask user to set other parameters to default if some were set on command line. 2017-04-28 11:43:27 -04:00
matlabbe
1ea94c0356 DbViewer: refining cancelable, statistics labels selectable and x-axis can be time or IDs 2017-04-27 16:13:27 -04:00
matlabbe
57dbece417 DbViewer: Updated doubleSpinBox decimals/singleStep for ParametersToolbox 2017-04-27 14:42:58 -04:00
matlabbe
f023adff4b Export: supporting texturing with multi-camera 2017-04-26 18:39:57 -04:00
matlabbe
6a2fe47b22 Preferences: updated RGBD/ProximityPathMaxNeighbors description and default value (now 0=disabled) 2017-04-26 14:06:42 -04:00
matlabbe
461d167547 DbViewer: update loop closure slider after detecting more loop closures 2017-04-25 16:50:57 -04:00
matlabbe
13425e1ad4 3D Rendering: Added floor/ceiling filtering and normal estimation for scans 2017-04-24 19:12:53 -04:00
matlabbe
c7deb5ed33 StereoBM: Fixed speckle window size parameter not set correctly (creating a lot of noise in generated disparity images) 2017-04-24 17:14:57 -04:00
matlabbe
27313bc3d6 DBViewer: added "Restore default GUI settings" menu action 2017-04-24 16:20:41 -04:00
matlabbe
6e1dbbcf4f Reverted change of cloudFromStereoImages() decimation, should be done after StereoBM to avoid backward compatibility problems 2017-04-24 15:26:12 -04:00
matlabbe
4e3216a75d SourceRGB: added rectify option for all types (including usb camera) 2017-04-24 14:11:38 -04:00
matlabbe
51c353e504 DatabaseViewer: Added ground truth statistics 2017-04-24 13:04:31 -04:00
matlabbe
1b71a96a3d Added rtabmap-kitti_dataset tool 2017-04-24 12:17:18 -04:00
matlabbe
a0a7237c01 Occupancy grid graph changed detection: Quiet warning when map is empty 2017-04-22 19:29:13 -04:00
matlabbe
af576ea0c4 Force full global occupancy grid udpate when the graph has changed (e.g., localizing in other map not connected to current one in database) 2017-04-22 18:43:22 -04:00
matlabbe
183c6abc98 Fixed stereo optical flow crash when no keypoints are extracted 2017-04-22 16:56:38 -04:00
matlabbe
559e65a4e1 disabled label realsense odometry when not built with realsense slam 2017-04-21 22:35:45 -04:00
matlabbe
b93ca148a8 fixed build realsense on Windows 2017-04-21 21:59:53 -04:00
matlabbe
07d6763e69 Fixed build without realsense 2017-04-21 21:58:38 -04:00
matlabbe
bc2da10713 RealSense driver: added odometry option (ZR300) 2017-04-21 21:24:23 -04:00
matlabbe
2e515f5fc7 Export: texture roiRatios default "0.0 0.0 0.0 0.0" 2017-04-20 12:01:20 -04:00
matlabbe
a274f3cf01 Export Added RoiRatios parameter to texturing (#171) 2017-04-20 11:51:23 -04:00
matlabbe
c068c3c33a MainWindow: added ZR300 menu 2017-04-19 15:24:42 -04:00
matlabbe
e258a7cf64 Update build.bash 2017-04-19 11:13:53 -04:00
matlabbe
5814724600 Fixed cloud -1 not found on export, fixed cloud visibility doing nothing to cloud -1 2017-04-18 23:08:28 -04:00
matlabbe
220a454859 fixed compile error 2017-04-18 20:22:05 -04:00
matlabbe
42fb02c36f zed 2.0: fixed sensing mode order, fixed conversion from zed pose to transform (when zed odometry is enabled) 2017-04-18 20:16:04 -04:00
matlabbe
732223e832 Tango: refactored shaders (to remove most "if" in them), added "Auto" to reconstruction depth option 2017-04-18 17:30:14 -04:00
matlabbe
286ab7a600 Merge pull request #184 from akirayou/zed20
change for zed sdk 2.0
2017-04-18 08:37:14 -04:00
akria_you
b402ce1564 change for zed sdk 2.0 2017-04-18 15:03:10 +09:00
matlabbe
0ccba3281e Tango: added online blending option, background color option, double tap, fixed meshes jiggering on touch, removed raw mesh option 2017-04-17 21:42:01 -04:00
matlabbe
6f148c47e2 0.12.15 Parameters: added "GridGlobal" parameter group, fixed https://github.com/introlab/rtabmap_ros/issues/162 2017-04-10 16:59:48 -04:00
matlabbe
98a96a897b Tango: improved optimized texture colors 2017-04-09 20:00:23 -04:00
matlabbe
f1d96a30a4 Export: Added blending option, gain compensation performance increased when exporting with textures 2017-04-09 19:16:50 -04:00
matlabbe
2509a842f0 DBViewer: fixed Export dialog parameters not loaded correctly 2017-04-08 16:46:06 -04:00
matlabbe
b7dbf27931 Parameters: added Grid/FullUpdate (default true). Updated how occupancy grid is updated after loop closure. OctoMap: added tree depth argument when creating 2d map, added full update argument on constructor (default false). MainWindow: using OccupancyGrid object instead of keeping in cache local grids (we can have actual time to update the global grid). 2017-04-07 18:31:11 -04:00
matlabbe
6bfce63060 fixed compilation warning 2017-04-06 14:39:46 -04:00
matlabbe
6ca3b8246a fixed some compilation warnings 2017-04-06 12:41:16 -04:00
matlabbe
1d8952867d MainWindow: added timing stats on global map creation. Updated util3d::occupancy2DFromLaserScan() and util3d::create2DMap() interfaces (hit/noHit scans in opencv matrix format). Parameter default: Grid/ProjRayTracing=true, Grid/NormalK=true 2017-04-06 12:27:12 -04:00
matlabbe
e415dd8504 Fixed inf loop when all signatures are loaded in WM and if a signature has a -1 word 2017-04-04 12:26:06 -04:00
matlabbe
aa37ac6038 Increased version to 0.12.4, Tango: gain compensation on each channel, added min depth parameter, fixed exporting failing when doing export just after opening a database 2017-04-01 14:14:36 -04:00
matlabbe
d68eeada0e Export: Disabled exposure fusion when built with Opencv < 3 2017-03-31 18:56:52 -04:00
matlabbe
accbe5a423 Export: Added exposure fusion option 2017-03-31 18:56:52 -04:00
matlabbe
f33b838204 DBViewer: updated more loop closures dialog default size 2017-03-31 18:56:52 -04:00
matlabbe
767b29d5a3 Updated detect more loop closures with optimization check to accept (like in dbviewer). DBViewer: added Depth image edition dialog. GainCompensator: now doing it on 3 channels separatly. Export: removed gain's alpha option, added max polygons option, added brightness/contrast auto balance option 2017-03-31 18:56:52 -04:00
matlabbe
a928a0b404 Moved create occupancy grid parameter to Ocupancy Grid panel 2017-03-31 18:56:52 -04:00
matlabbe
2574f3a8ee DatabaseViewer: Added ExportCloudsDialog, added Occupancy Grid View 2017-03-31 18:56:52 -04:00
matlabbe
622352b411 Freenect2: fixed noisy rectification of depth image on IR+Depth mode. 2017-03-31 18:28:19 -04:00
matlabbe
900de0a5c9 SimpleCalibrationDialog: width and height are now mandatory to save 2017-03-31 15:07:24 -04:00
matlabbe
def90355a9 Tango: fixed "Waiting creating clouds..." dialog not closing 2017-03-26 13:40:25 -04:00
matlabbe
a3f1e04a4d Update README.md 2017-03-22 22:24:57 -04:00
matlabbe
39286deb19 Dockerfile: updated tags 2017-03-22 21:48:01 -04:00
matlabbe
504bffa57a Update README.md 2017-03-22 21:23:10 -04:00
matlabbe
d89c43befa Dockerfile: fixed aapt error 2017-03-22 21:09:21 -04:00
matlabbe
d95818f1b2 update dockerfile (pcl ply headers not found) 2017-03-22 13:54:09 -04:00
matlabbe
9b0faaac34 updated dockerfiles 2017-03-21 19:52:18 -04:00
matlabbe
eaafe91ade Docker: added Dockerfile for android 2017-03-21 10:35:46 -04:00
matlabbe
f84bfd8384 Tango: Updated some files for docker 2017-03-20 15:45:24 +00:00
matlabbe
79709f3f06 Update util3d_surface.cpp
Added PCL_ONLY_CORE_POINT_TYPES check
2017-03-20 11:09:15 -04:00
matlabbe
ce6edf893a Update util3d_surface.cpp
Removed NormalEstimationOMP instantiate with PointXYZRGB/Normal for PCL > 1.8.0
2017-03-19 23:42:16 -04:00
matlabbe
5d5d602f1d Updated Dockfile for xenial 2017-03-17 21:03:14 -04:00
matlabbe
ad3aa30471 Added Docker file for xenial 2017-03-16 16:24:25 -04:00
matlabbe
69d174309d Tango: fixed bundle adjustment poses not used for export 2017-03-16 11:47:04 -04:00
matlabbe
5b08a69607 Tango: added comptible fisheye cloud density level 2017-03-15 17:05:19 -04:00
matlabbe
1bd9d41164 Tango: updated default export max polygons, added more values to color radius parameter 2017-03-14 10:54:23 -04:00
matlabbe
ef7bf87187 Tango: added fisheye option 2017-03-13 20:51:59 -04:00
matlabbe
d21ae76fff 0.12.3: Increased Tango rendering performance, modified all handleEvent() with new interface (now returning bool) 2017-03-12 21:21:09 -04:00
matlabbe
c12980ee91 Tango: Fixed scan local transform 2017-03-08 12:55:21 -05:00
matlabbe
719416741f Fixed "Export octomap..." not enabled on first load of the OctoMap 2017-03-08 08:33:43 -05:00
matlabbe
1b14263bb8 fixed #174 2017-03-07 20:58:38 -05:00
matlabbe
5c8da20eea Tango: Fixed color gain bug on pointcloud and mesh (without texture) 2017-03-07 10:53:29 -05:00
matlabbe
560fcdc541 Grid: Adjusting viewpoint when projecting into map frame 2017-03-06 13:32:48 -05:00
matlabbe
d1e9525052 Added viewpoint to laser scan 2D ray tracing 2017-03-06 12:07:59 -05:00
matlabbe
9f65ef199b Tango: Added Level of detail rendering depending on the distance from the camera 2017-03-05 21:48:18 -05:00
matlabbe
fed9d4ef3b Tango: zipping obj files, exporting in Export sub directory 2017-03-05 13:05:26 -05:00
matlabbe
867e8727c1 GraphViewer: Fixed scale of saved PNG/SVG 2017-03-05 11:55:22 -05:00
matlabbe
d927b82020 Tango: added min texture cluster size option 2017-03-04 19:34:40 -05:00
matlabbe
e003fb8d35 Texturing: Added min polygon cluster size parameter 2017-03-04 18:20:26 -05:00
matlabbe
4db957f437 Increased polygon texturing step speed 2017-03-04 02:53:11 -05:00
matlabbe
46ec0b8f70 Fixed Freenect2 calibration default rgb/depth/switched config not working 2017-03-03 18:12:55 -05:00
matlabbe
d1aa8bf5ae changed a warning to debug (about loop ratio) 2017-03-03 16:22:22 -05:00
matlabbe
3cf8ea63d8 Fixed a bug where camera facing polygons were not textured 2017-03-03 15:22:20 -05:00
matlabbe
fd55828c42 0.12.2: ros package sync 2017-03-03 11:36:07 -05:00
matlabbe
1ce4db5604 Fixed backward compatibility for exporting texture mesh with old databases 2017-03-03 00:19:46 -05:00
matlabbe
300e37124c GTSAM: added optimizer approach option #172 2017-03-02 16:46:15 -05:00
matlabbe
9b3b7b09a0 Projection ray tracing, keep empty cells from projection 2017-03-01 17:34:28 -05:00
matlabbe
17121d5861 Added parameter "Grid/ProjRayTracing" and renamed "Grid/3DGroundIsObstacle" to "Grid/GroundIsObstacle" 2017-03-01 14:06:21 -05:00
matlabbe
c9f6dabfc6 Tango: added progression bar when exporting, averaging colors in color radius when exporting without texture 2017-02-28 21:50:50 -05:00
matlabbe
b76952f016 Export: using color transfer radius to limit texturing far polygons from the orignal cloud 2017-02-27 17:31:02 -05:00
matlabbe
6c9572714f Tango: added sketchfab links, Color Radius is used when texturing optimized mesh 2017-02-27 16:53:05 -05:00
matlabbe
2565239a1b Export dialog: hiding not used options, exporting can be now canceled on texturing phase 2017-02-26 18:17:00 -05:00
matlabbe
8ab609471a CLAMS: added isFinite conditions in coneFit (before reproject) http://official-rtab-map-forum.67519.x6.nabble.com/Depth-calibration-fatal-error-td2682.html 2017-02-25 16:14:18 -05:00
matlabbe
3cf21a7e7f fixed laserScanFromDepthImage order (counterclockwise) 2017-02-24 15:26:42 -05:00
matlabbe
b0170d1f6f OdometryF2M: generating custom ids for bundle adjustement https://github.com/introlab/rtabmap_ros/issues/151 2017-02-24 11:50:29 -05:00
matlabbe
45ca3500c6 Removed assert when data.id = 0 (only requirement for odom is that id >=0) 2017-02-23 15:57:50 -05:00
matlabbe
526fdb495b Loop closure view: Added legend "gray" color for features not quantized in vocabulary (-1) 2017-02-23 11:49:33 -05:00
matlabbe
8de6cb1ca0 Added util3d::projectCloudToCamera() with PCLPointcloud2 interface, update util2d::fillDeptHoles() to support CV_32FC1 2017-02-23 00:15:43 -05:00
matlabbe
a1c036a7e2 removed warning when setting user data to SensorData if compressed user data is already here 2017-02-22 14:38:42 -05:00
matlabbe
a9b03bb39e Tango: 0.12.0 (performance optimization, time and memory) 2017-02-22 09:48:45 -05:00
matlabbe
595ac49552 0.12.0: database update: added missing octave field, added preview_image field 2017-02-17 14:37:41 -05:00
matlabbe
af1cdadabd Tango: updated export workflow, added sketchfab activity, added graph optimization parameters, fixed raw images kept in memory (disabled reexctract words on loop closure while updating memory to be able to create more features for transform estimation than needed in vocabulary), portrait/landscape orientation, updated to Eisa TangoSDK. DBReader: fixed high variance when node has no links (if not the first in the current map id). MainWindow: remove frustums not in the current graph. 2017-02-15 19:07:10 -05:00
matlabbe
1be0d52051 Fixed compilation error with PCL < 1.7.2 (disabled graph frustums option) 2017-02-09 19:25:35 -05:00
matlabbe
0d0577a886 3D Rendering: Added option to show graph's frustums, added option to filter floor and/or ceiling. 2017-02-09 18:32:44 -05:00
matlabbe
e4629cc740 Tango: file name using 0-24 hours format 2017-02-07 19:00:52 -05:00
matlabbe
1c555f321b Fixed Tango odometry variance 2017-02-07 15:57:52 -05:00
matlabbe
5e9c4fde95 Tango: added Privacy Policy link 2017-02-07 00:37:37 -05:00
matlabbe
6aecebcf2c ExportDialog: fixed minClusterSize signal/slot error 2017-02-06 21:07:27 -05:00
matlabbe
9a2c9f607f DBViewer: compute normals when showing clouds 2017-02-06 17:05:53 -05:00
matlabbe
3a9b725c0c Tango: doing mesh decimation only when texturing 2017-02-05 18:04:22 -05:00
matlabbe
f7616f6e94 Tango: update to 0.11.14 2017-02-05 17:24:45 -05:00
matlabbe
ce8bd9ac40 Export: for min polygon cluster size, added option -1 to just keep the largest cluster 2017-02-04 18:28:43 -05:00
matlabbe
5c44082c42 updated log commment in memory when changing feature type 2017-02-04 09:27:35 -05:00
matlabbe
585f0c54bf Adjusted min polygon cluster size for applying texture 2017-02-03 17:40:55 -05:00
matlabbe
31453d187d Updated how texturing is done (occlusion+distance) 2017-02-03 17:27:54 -05:00
matlabbe
53ff5b56e6 fixed texture not exported with single image scan 2017-02-01 12:53:05 -05:00
matlabbe
a1ceff8ce8 Texturing: ignore polygons not facing the camera 2017-02-01 00:29:13 -05:00
matlabbe
bfb9feaf07 TextureMapping: added maximum camera distance 2017-01-31 23:26:35 -05:00
matlabbe
8e0e04eae9 CloudViewer: added point picker on doubleclick 2017-01-30 19:51:06 -05:00
matlabbe
0f96bf7709 Added FREAK detector/descriptor option with OpenCV3 2017-01-30 22:24:51 -05:00
matlabbe
f61569622a CloudViewer: no need to save texture on disk before rendering TextureMesh (opencv image to vtk texture directly) 2017-01-30 21:23:56 -05:00
matlabbe
31d8ae08c8 Fixed a compilation warning... 2017-01-30 13:35:16 -05:00
matlabbe
4e324e34d8 About dialog: Added VTK version and updated copyright year 2017-01-30 13:17:03 -05:00
matlabbe
7b5761106d Tango: updated how RGB and depth images are synchronized (to minimize the dt between them). Added time offset to get stamps in epoch time. Trajectory Mode: fixed top button not selected. 2017-01-30 12:29:34 -05:00
matlabbe
819db9538f Ask to set detection rate to 0 when selecting a source database. DBReader: set 9999 covariance for the first odom pose of a database. 2017-01-29 18:24:10 -05:00
matlabbe
e3b3a08f5f DbViewer: fixed features not added in right image when adding loop closure 2017-01-28 15:49:29 -05:00
matlabbe
e3d9ad005e Tango default feature set to BRIEF 2017-01-28 01:17:32 -05:00
matlabbe
bcacf2fe74 Export: darker background to see grid lines 2017-01-27 16:55:01 -05:00
matlabbe
b3a6650a6f Updated error msg when database cannot be written on disk (write permission issue) 2017-01-27 14:31:44 -05:00
matlabbe
534efcb987 updated version to 0.11.14 2017-01-27 12:19:39 -05:00
matlabbe
79a211ad02 RtabmapThread: changed state stack for a queue to process events in FIFO order (instead of FILO). Tango: Added detector type parameter (FREAK is now the default with 400 features). 2017-01-27 11:47:57 -05:00
matlabbe
b4a0fe54cd Tango: added gain radius and min cluster size parameters 2017-01-26 17:34:15 -05:00
matlabbe
3a73414972 Tango: Added Settings/Optimized Mesh/Sketchfab Upload 2017-01-26 16:46:24 -05:00
matlabbe
66ee792e8c Export: fixed white squares in exported texture (shifting next tex coords to wrong sub texture). Transfer color radius option use nearest point when =0. Fixed a crash on export dense with texture when last materials are not used (they have no polygons associated). 2017-01-26 09:42:52 -05:00
matlabbe
496319a2b0 Export: Added merging textures option (default true) 2017-01-19 11:20:48 -05:00
matlabbe
0a98df922e Export: added texture format option (jpg, png) 2017-01-17 14:57:50 -05:00
matlabbe
4c7d46c8a0 createTextureCameras: using CameraModel's localTransform instead of hard coded optical rotation 2017-01-17 12:44:30 -05:00
matlabbe
a011a6af64 Refactored texture projection (avoid saving image on disk at this step) 2017-01-16 18:29:14 -05:00
matlabbe
2b8f40e505 fixed compilation warnings 2017-01-16 11:21:40 -05:00
matlabbe
8f797e81ae Export: added option to remove not textured/colored polygons. Cloud generation: Black pixels can be projected. Added RoiRatios options to 3D Rendering and Export. Added fill depth holes option to Export. 2017-01-16 01:32:53 -05:00
matlabbe
f8ec338fa3 Added Poisson surface reconstruction in export options 2017-01-15 19:09:37 -05:00
matlabbe
ea5f0fadb8 Tango: added more Map Update Rate options 2017-01-12 16:49:02 -05:00
matlabbe
bf01a1d138 consoleApp: fixed redefined i 2017-01-07 15:04:36 -05:00
matlabbe
32c051320c UCv2Qt: fixed min/max of depth to grayscale conversion for CV_32FC1 type 2017-01-06 16:57:47 -05:00
matlabbe
74ae1429a1 Camera tool: fixed compilation warning 2017-01-06 13:57:07 -05:00
matlabbe
00c93abd1b Memory: ignore reextract features when registration is not visual 2017-01-06 08:20:32 -05:00
matlabbe
7fa559247d DbViewer: disable "Add" button if one of the current images selected is not in the graph 2017-01-05 21:10:26 -05:00
matlabbe
8895173a2b Memory::computeTransform(): Fixed empty "from" image when reextract features is true and ICP-only registration is used 2017-01-05 19:31:18 -05:00
matlabbe
f20cb6ff52 Preferences: fixed map opacity limited to 0.75 min. Making sure that normalized variances are set to epsilon if result is 0. 2017-01-05 18:08:20 -05:00
matlabbe
4b12fb3a9a Normalize variance in refined/added loop closure (DbViewer) 2017-01-05 17:23:55 -05:00
matlabbe
716337b71a normalize variance in loop closure 2017-01-05 17:22:49 -05:00
matlabbe
dfb965cfa9 Fixed bundler exportation not using local transform 2017-01-04 17:49:59 -05:00
matlabbe
91f78b54d8 bump android version 2017-01-03 22:34:16 -05:00
matlabbe
ac1c5f81ae fixed some compilation warnings 2017-01-03 22:14:21 -05:00
matlabbe
6abed48af6 0.11.13. OdometryF2M: fixed/improved bundle adjustment option. OptimizerG2O: now doing stereo BA instead of mono BA (interface of Optimizer::optimzeBA() has slightly changed to include depth in word references). Registration and Odometry set angular and linear variances separately. RegistrationVis set x100 smaller variance for rotation. Added keypoints3D member to SensorData. Added Transform::getAngle() for convenience. Odometry normalizes variances. RtabmapThread does variance summation when frames are discarded. Updated how variance is computed by util3d::estimateMotion3Dto2D(), ignoring very large variance from the computation (stereo issue with very far matched features). MainWindow: added option to align with ground truth or not (default true as before), added for odometry statistics (including bundle stuff), update ground truth statistics every time a graph is loaded/optimized. CameraRGB can now load odometry files (to fake an input odometry). PreferencesDialog: Added option to Odometry so it can use a different registration approach than the default one (the one used for loop closure). Parameters: added new g2o/Solver option 3 (Eigen), added g2o/RobustKernelDelta, g2o/Baseline and Odom/VisKeyFrameThr. Database: from 0.11.13, ignoring patch version when comparing is database version is newer than app version used. 2017-01-03 21:05:00 -05:00
matlabbe
6550a52cee fixed #152 2016-12-05 15:53:19 -05:00
matlabbe
cd62e67011 Localization: Revert mapCorrection transform to one before being lost (when odom can be computed again) 2016-12-05 15:16:04 -05:00
matlabbe
e5524ddc1d Tango: fixed black clouds. Rtabmap: only add latest optimized pose to graph if localized. 2016-12-05 13:27:29 -05:00
matlabbe
3c17049084 Tango: Added Rendering Options... -> Mesh Rendering -> Mesh Decimation 2016-12-03 21:49:40 -05:00
matlabbe
d2287ab9f4 Backward compatibility (DBViewer, DBReader) with old database format not saving CameraModel's image size, cx and cy 2016-12-02 13:43:44 -05:00
matlabbe
a5f4468c54 Fixed build warnings about variables not used in CameraRGBD and CameraStereo classes (depending on which sensor is available) 2016-12-02 12:29:38 -05:00
matlabbe
f2dbfa9b33 StereoCameraModel: baseline computed with Tx of left camera too. Fixed QMultiComboBox not showing on windows. Avoid updating grid view if there are no local grids in signatrues. Clear cached data of StatsItem when detecting smaller timestamp than last ones. 2016-12-01 21:46:09 -05:00
matlabbe
d0dddaf7cc DbViewer: fixed bug where null links were added when added links doen't have enough inliers. g2o/Optimizer: changed back to Levenberg as GaussNewton seems worst on Kinect multi-session mapping 2016-12-01 11:59:49 -05:00
matlabbe
40d0be5828 Preferences: fixed groupbox modified signal not sent when reading a config file 2016-11-30 21:24:17 -05:00
matlabbe
d879491a58 Fixed #149 2016-11-30 14:25:01 -05:00
matlabbe
4d585cbb11 Fixed bug where Grid/MaxObstacleHeight didn't work when the ground is not observable 2016-11-28 14:02:06 -05:00
matlabbe
2f6d7f81cc Fixed accumulated words bug in highest hypothesis view 2016-11-27 20:55:53 -05:00
matlabbe
3363772ce5 CloudViewer: added backface culling option on right-click menu. MainWindow: removed error msg on wrong decimation (util3d already handle this case) 2016-11-27 20:10:05 -05:00
matlabbe
1910cef3d1 g2o/Optimizer changed default to 1 (Gauss Newton) 2016-11-27 18:32:48 -05:00
matlabbe
121446d648 Removed parameter "OdomF2M/FixedMapPath". GUI: added odometry disabled option. Rtabmap can now localize even if odometry input is null (only in localization mode). 2016-11-27 14:30:11 -05:00
matlabbe
693f623e5e Fixed GUI crash when using rectified RGB only (with odometry). Fixed empty local map when loading a fixed local map for OdometryF2M. 2016-11-25 19:52:34 -05:00
matlabbe
da1cac1e55 Tango: fixed map not optimized when opening a database 2016-11-25 16:05:14 -05:00
matlabbe
22089a9e45 Tango: Fixed supporting devices for appropriate listing in play store (only for Tango-enabled phones/tablets) 2016-11-25 15:35:18 -05:00
matlabbe
e65db3cba5 Tango: fixed localization mode not working 2016-11-25 15:20:42 -05:00
matlabbe
5b183d9105 DbViewer: do the max optimization error test when adding a new loop closure (rejecting it if it fails) 2016-11-24 15:09:16 -05:00
matlabbe
2a43a95ddd flann serialize unordered_map compilation error (#126): modified define name to avoid conflicts with the one defined in OpenCV 2016-11-23 17:36:38 -05:00
matlabbe
23bb5d5147 DBDriver: when an empty database url is provided, an empty database "in memory" is used by default. Tango: fixed second database not recorded in Data Recorder mode (now creating a new one on save). Mapping parameters are saved in database instead of the one used to record data (Data Recorder mode). 2016-11-23 15:13:09 -05:00
matlabbe
639896b309 CloudViewer: fixed dark textures 2016-11-21 19:10:30 -05:00
matlabbe
3d5699ef4a Tango: fixed second database not saved when hitting Save two times consecutively 2016-11-21 18:13:56 -05:00
matlabbe
1c41882bf0 bump tango version 2016-11-21 17:13:32 -05:00
matlabbe
14908e3a11 rtabmap: refining neighbor links uses computeIcpTransform() instead of computeTransform() (to ignore Visual registration, which adds more errors most of the time). When database is in RAM, we can close under a different name than the one used when the database was loaded.
Tango: Added Append Mode option (only start a new map after being localized, default true) and the old map is still shown for convenience until localization. Increased minInliers to 25. Increased ICP correspondenceRatio to 0.5. Decreased time to open a database. Saving doesn't close the database anymore and overwrite only if we save with the same name. Removed ICP refining from standard optimization.
2016-11-21 17:09:04 -05:00
matlabbe
4c559a3191 Preview: reduced minimum size of the window 2016-11-21 12:02:29 -05:00
matlabbe
0802f9158c MainWindow: backward compatibility: load default parameters for those not saved in a db 2016-11-18 16:59:14 -05:00
matlabbe
ceb5c38ca3 util3d: find maximum decimation if the one set is not compatible (instead of returning an empty cloud) 2016-11-18 16:19:41 -05:00
matlabbe
f0d36e71a1 Memory: fixed missing parameters in database on close 2016-11-18 15:53:35 -05:00
matlabbe
e809b30cb9 Tango: removed post-processing done after resuming the app 2016-11-18 14:18:04 -05:00
matlabbe
e5db40e4ae Tango: Fixed a bug where gain compensation was done while mapping (causing big lags) 2016-11-18 13:07:53 -05:00
matlabbe
43ff7e4b3e rtabmap-console: added "skip" option for convenience 2016-11-17 16:18:19 -05:00
matlabbe
a3afc249ef Fixed old parameters ignored when reading config file from GUI 2016-11-17 16:08:55 -05:00
matlabbe
ed83d90603 RTAB-Map.exe can be started with parameters as arguments (in similar way than rtabmap-console) 2016-11-16 17:39:17 -05:00
matlabbe
daf0a9c6e8 cleanup 2016-11-16 14:20:14 -05:00
matlabbe
4271fb37e9 Tango: Forcing landscape mode only (#143) 2016-11-16 12:56:30 -05:00
matlabbe
8560baca87 Fixed fx=0 error when running multi-session databases 2016-11-16 12:28:33 -05:00
matlabbe
d73394abd8 DBViewer: show local transform in calibration parameters, increased precision of small numbers < 0.001 for parameters toolbox 2016-11-16 11:39:44 -05:00
matlabbe
f6cca3313a Tango: Using tango_support library to get depth to color transform (#143), poses are in device frames and camera local transform is from device to camera (including optical rotation), "720" Mode is now called "HD Mode" 2016-11-16 10:13:16 -05:00
matlabbe
76edd53e40 Update showlogs.m 2016-11-15 17:54:43 -05:00
matlabbe
cb31a717cf rtabmap-console: added fake initialization at startup to make sure all external libraries are loaded before processing the first frame 2016-11-15 16:49:58 -05:00
matlabbe
b9b3dcb5e3 QMultiComboBox: removed "DONT USE IT" msg 2016-11-15 10:21:19 -05:00
matlabbe
acf55e0c9b DatabaseViewer: fixed just 50 last values shown on statistics view 2016-11-15 09:52:24 -05:00
matlabbe
c40456a2ec ULogger::unregsiterCurrentThread: unregister ALL values related to same thread 2016-11-15 08:53:26 -05:00
matlabbe
6d9f1828c6 fixed iterator error on some systems (#145) 2016-11-15 08:47:41 -05:00
matlabbe
9276607920 Added Bundle Adjustment options to OdometryF2M (OdomF2M/BundleAdjustment) and RegistrationVis (Vis/BundleAdjustment). Added logger thread filter. RegistrationVis: Copy back corresponding input word IDs to output words when available. Memory::computeTransform() added option to use already computed corespondences if possible (proximity detection by time uses this). Updated Optimizer::optimizeBA() interface. 2016-11-14 19:54:31 -05:00
matlabbe
9fbd02b06d fixed bug of wrong likelihood when KDTree is used with Kp/IncrementalFlann=false (maybe related to #144) 2016-11-10 14:07:00 -05:00
matlabbe
4885a9e65a fixed a warning 2016-11-10 10:22:47 -05:00
matlabbe
98851ed686 ExportCloudsDialog: decreased minimum triangle size from 2 to 1 2016-11-10 09:48:51 -05:00
matlabbe
edcd92fbb7 DBViewer: merged Refine (visual) and Refine (ICP) in the same Refine action (registration used is defined by Reg/Strategy value). Updated how detect more loop closures work in MainWindow and DBViewer (using current registration parameters, visual and/or icp) 2016-11-09 16:44:08 -05:00
matlabbe
fdcfb3eb7c Merge pull request #142 from TomasBedrnik/upstream
Fix missing space in ostream operator <<  for Transform
2016-11-08 13:17:31 -05:00
Tomas
55ff45064f Fix missing space in ostream << operator for Transform 2016-11-08 19:40:34 +02:00
matlabbe
f88eadd312 Merge pull request #141 from TomasBedrnik/upstream
Fix bug with ostream operator<< for Transform
2016-11-07 13:31:01 -05:00
Tomas
874e9dafc2 Fix bug with ostream operator>> for Transform 2016-11-07 14:42:01 +02:00
matlabbe
d6b334ab02 nump tango version 2016-11-04 17:32:29 -04:00
matlabbe
efbee6796f Tango: sorting files on Open 2016-11-04 17:03:06 -04:00
matlabbe
cdeba51ccd fixed typo 2016-11-04 16:46:30 -04:00
matlabbe
7fd3d9f331 Tango: added mesh smoothing, show file size on Open, default timestamp filename on save/export 2016-11-04 16:39:52 -04:00
matlabbe
c8d5a446ea fixed Ubuntu build (Eigen error in util2d::fastBilateralFiltering) 2016-11-03 17:43:32 -04:00
matlabbe
fe19d277ac Fixed OdomF2M ICP local scan transform bug (was not in 0.11.8) 2016-11-03 17:27:01 -04:00
matlabbe
a7971373a6 Added bilateral filtering option. CloudViewer: lighting and edge visibility options. 2016-11-03 17:04:31 -04:00
matlabbe
70dbac10c7 Updated .travis.yml with email notifications 2016-11-03 11:22:11 -04:00
matlabbe
82b352d519 Updated .travis.yml with ros paths 2016-11-03 11:12:16 -04:00
matlabbe
421926f7ac Updated .travis.yml 2016-11-03 11:03:47 -04:00
matlabbe
53d555dceb Updated .travis.yml with g2o, openni2 and octomap dependencies 2016-11-03 11:00:31 -04:00
matlabbe
043e288d70 Fixed assert "((int)path.size() < = maxGraphDepth*2+1)" when Mem/ReduceGraph=On 2016-11-02 13:06:38 -04:00
matlabbe
8718bb4ff1 Fixed #137 2016-11-01 12:04:10 -04:00
matlabbe
0a06648c02 Updated Tango namespace (see Qianru release notes) for Phab 2 Pro 2016-10-31 23:16:24 -04:00
matlabbe
276992d654 Fixed laser scans not saved when Mem/BinDataKept is false (they are still required for scan matching) 2016-10-31 14:29:32 -04:00
matlabbe
f07bb17442 Find/Link explicitly OpenCL libraries if Freenect2 is detected (moved in main CMakeLists.txt to be added to exported in RTABMapConfig.cmake) 2016-10-31 14:28:17 -04:00
matlabbe
2529952982 ExportClouds: set minimum K (for normal estimation) to 3. Also added a check if the created cloud is empty. 2016-10-31 11:29:07 -04:00
matlabbe
e3c290269b cloudFromDepthRGB: Don't assert if decimation is wrong, just throw error and return empty cloud 2016-10-31 11:10:16 -04:00
matlabbe
4bcb31e532 Refactored GainCompsensator for backward compatibility with PCL <1.7.2 2016-10-30 17:46:11 -04:00
matlabbe
768c864766 Image Decimation can now be negative, meaning that decimation is done from RGB size instead of depth. If Depth size is smaller than RGB, it may be upsampled depending on the decimation value. Export Dialog: Fixed MLS not done even when checked. 2016-10-30 16:03:23 -04:00
matlabbe
20a5d80647 bump tango version 2016-10-29 18:42:39 -04:00
matlabbe
a09aebeca4 Tango: Added Data Recorder mode (See Mapping menu) 2016-10-29 18:14:25 -04:00
matlabbe
9e0b45e27a Fixed "UNIQUE constraint failed: Statistics.id" error when loading a previous map with last id saved in Statistics not in Node table (this happened when ignored locations are not saved to database). 2016-10-29 18:12:27 -04:00
matlabbe
9123889876 Tango: Added full gain compensation option 2016-10-27 15:35:19 -04:00
matlabbe
d06abbbd91 Tango: updated to use TangoPointCloud callback (fixed deprecated TangoXYZij) 2016-10-27 14:44:11 -04:00
matlabbe
8f90d25468 Tango: added camera movement when moving 2 fingers 2016-10-27 14:22:21 -04:00
matlabbe
69219eb340 Fixed MLS still done when not visible if checked before 2016-10-26 20:41:33 -04:00
matlabbe
185f03985e Refactored GainCompensator. Export Dialog: Added option to do full gain compensation with all locations. 2016-10-26 19:03:44 -04:00
matlabbe
d102c43f9a ZED: Added self calibration option (default false) 2016-10-25 16:06:55 -04:00
matlabbe
063e019653 Export Images: fixed images still saved when cancelling the dialog 2016-10-25 14:54:02 -04:00
matlabbe
49cb35175f fixed build error backward compatibility pcl 1.7 < pcl 1.8 2016-10-24 16:31:57 -04:00
matlabbe
5d1ea43b9e Fixed build error on Windows 2016-10-24 14:44:49 -04:00
matlabbe
a1c3a60f87 DB Viewer: added message box at the end of extracting images 2016-10-23 18:32:07 -04:00
matlabbe
60c406d6ec EipolarGeometry: added missing dictionary.update() 2016-10-23 14:01:44 -04:00
matlabbe
7b2bf9ac13 GUI: Fixed crash when adding Texture Dense Mesh to CloudViewer 2016-10-21 19:34:29 -04:00
matlabbe
856b83ac53 GUI: Fixing some minor Export dialog bugs (texture option disabled on export or failing to save mesh without extension set) 2016-10-21 16:56:29 -04:00
matlabbe
4017db1d15 fixed #132 2016-10-21 16:54:32 -04:00
matlabbe
5a24bcfe51 GUI: added option to show octomap as a point cloud (less GPU power required) 2016-10-18 13:29:40 -04:00
matlabbe
73268c2af2 GUI: Fixed current image and loop closure image features not shown when Mem/BinDataKept is false 2016-10-18 12:27:14 -04:00
matlabbe
bcc6354c04 fixed strange ellipse shape in GraphView with Qt5 2016-10-17 19:30:44 -04:00
matlabbe
1853cfde9b ImageView: Fixed feature's depth value when depth image is not the same size as the RGB image 2016-10-17 13:30:35 -04:00
matlabbe
07ff1a7717 Fixed save/loading of binary distortion model on Windows #128 2016-10-14 16:03:08 -04:00
matlabbe
0ce6ef8d8d CLAMS: cleanup eigen_extensions.h, models can be saved/loaded in binary (*.bin) or ascii (*.txt) formats 2016-10-14 15:24:24 -04:00
matlabbe
e13454fe3f Memory: Disabled occupancy grid update if no depth image 2016-10-14 13:37:21 -04:00
matlabbe
94c25e2017 fixed #123 2016-10-11 13:06:16 -04:00
matlabbe
b09c97169a clams: added some debug log on reading 2016-10-06 21:31:21 -04:00
matlabbe
37192422be Fixed util3d::laserScanToPointCloudRGB for 2 channels scan (added also default color param) 2016-10-05 18:11:58 -04:00
matlabbe
9e7b905c0b undistort: check nan values too 2016-10-05 13:55:02 -04:00
matlabbe
33501fdb0f max optimization error checked on link with variance <=1 instead of <1 (to make it work also when TF odom is used, for which variance of 1 is set) 2016-10-03 17:11:20 -04:00
matlabbe
6f00cba872 Added OccupancyGrid::isGridFromDepth() method for convenience 2016-10-02 16:47:22 -04:00
matlabbe
29f4734ec6 Calibration 3-steps: updated warning msg 2016-09-30 14:47:55 -04:00
matlabbe
b17e0dc26d Calibration 3-steps: fixed crash on step 3 if intrinsic parameters are not correctly loaded (empty distorsion model) 2016-09-30 14:38:45 -04:00
matlabbe
403bfc2b44 Merge branch 'kinetic-devel' of https://github.com/introlab/rtabmap 2016-09-29 12:45:21 -04:00
matlabbe
4d6cfbba20 RTABMapConfig.cmake: added find VTK if vtkGUISupportQt target is required 2016-09-29 12:40:51 -04:00
matlabbe
a1593a69a4 Enabled esport to g2o even if not built with g2o support (export doesn't need the library) 2016-09-28 16:07:01 -04:00
matlabbe
8c05ae332c Merge branch 'kinetic-devel' of https://github.com/introlab/rtabmap 2016-09-27 16:35:06 -04:00
matlabbe
7f0c49b14d Fixing QVTKWidget linker errors on Kinetic/VTK6/PCL for armhf build 2016-09-27 15:43:23 -04:00
matlabbe
b7fae1a65b SensorData: updated how compressed user_data is detected 2016-09-26 16:33:24 -04:00
matlabbe
a4dd47374e Backward compatibility: Fixed wrong image height set in SensorData::uncompressData() 2016-09-25 18:13:49 -04:00
matlabbe
4062b960c7 fixed a compilation warning 2016-09-22 14:35:37 -04:00
matlabbe
44bf3d40ad Fixed invalid controlling predicate compilation error on linux 2016-09-20 16:26:46 -04:00
matlabbe
5f85c2a7a0 Fixed missing left/right suffixes when loading stereo calibration files 2016-09-20 11:52:06 -04:00
matlabbe
3530da935b 0.11.11: changed Statistics table name to Info and added new Statistics table containing detection statistics. StatisticsToolBox can cache statistics (true by default). DatabaseViewer: new Statistics panel to see all statistics contained in the database. 2016-09-20 11:19:34 -04:00
matlabbe
a0972158dc PostProcessing, added some processEvents to see updates in progress dialog 2016-09-19 17:54:51 -04:00
matlabbe
3434b95d68 Integration of CLAMS depth calibration #114 2016-09-19 14:01:06 -04:00
matlabbe
861cc437f4 Updated Freenect2 calibration lookup names 2016-09-13 18:57:44 -04:00
matlabbe
2b2dc2be39 Fixed Windows build errors #115 2016-09-13 18:46:05 -04:00
matlabbe
acb700bd27 Added OpenNI2 and Freenect calibration #115 2016-09-13 18:26:18 -04:00
matlabbe
e5977d6157 Ignoring black pixels when creating clouds (recfification artifacts). Slightly improved depth retification speed. 2016-09-13 12:10:14 -04:00
matlabbe
44caa12fa5 CameraStereoVideo: added left and right separated video streams. Fixed issue #117 2016-09-11 12:45:12 -04:00
matlabbe
26c7078923 Tango: slight modifications of the default parameters 2016-09-10 18:45:46 -04:00
matlabbe
94a4fb4579 fixed 2 compilation warnings 2016-09-09 15:10:19 -04:00
matlabbe
d6f9f29835 Fixed list not defined error in util3d_surface.h. Updated rgbd_mapping example with Freenect2, zed and realsense options 2016-09-09 18:35:56 -04:00
matlabbe
2eb2362da8 Tango: Handling app pause/resume without having to restart mapping (OpenGL context flushed issue). 2016-09-08 11:55:44 -04:00
matlabbe
53c3981651 Tango: Fixed typo making textures not appearing... 2016-09-07 20:25:41 -04:00
matlabbe
d252b1fb13 GUI: Fixed cannot delete rtabmap.tmp.db error when closing and if database is in memory. 2016-09-07 20:15:30 -04:00
matlabbe
d3173d8533 Tango: Optimized memory for created meshes (keeping dense clouds instead of organized clouds) 2016-09-07 19:59:25 -04:00
matlabbe
4a072b3dfc Tango: Added "Adjust colors" post-processing option. Updated ICP parameters. Added "Mem/LaserScanNormalK" parameter for convenience. 2016-09-07 17:19:21 -04:00
matlabbe
ce1acd9d44 DatabaseViewer: showing normals if scans have 6 channels 2016-09-07 17:14:09 -04:00
matlabbe
ff4300d525 Added GainCompensator class. GUI/3D Rendering: added texturing option. 2016-09-07 12:15:44 -04:00
matlabbe
3b25fef852 Tango: updated manifest to version 10 2016-09-03 20:46:22 -04:00
matlabbe
91da92346d Tango: added Noise Filtering post-processing option, set RGBD/MaxLocalRetrieved to 0 (avoiding some high processing time peaks), fill depth holes up to 5 pixels 2016-09-03 20:38:27 -04:00
matlabbe
7f2c118f8d Added min polygon cluster size option (DbViewer and GUI export) 2016-09-03 18:59:43 -04:00
matlabbe
0848b03127 DBReader: set calibrated to true if database is empty (avoiding not calibrated warning) 2016-09-03 14:45:10 -04:00
matlabbe
e5074afdeb Tango: Added ICP refining option, mesh vs texture vs point cloud options, show/hide grid option, drift correction option 2016-09-02 22:37:12 -04:00
matlabbe
4bd9e4f847 OctoMap: Added occupancy threshold to constructor 2016-09-01 20:33:05 -04:00
matlabbe
717e82c09e fixed typos 2016-09-01 19:22:04 -04:00
matlabbe
d069dedf34 PostProcessing: fixed scans not uncompressed before refining 2016-09-01 18:36:55 -04:00
matlabbe
dd2f89628e cloudFromDepthRGB() iterating over depth image size instead of RGB image size. DbViewer: fixed scale of image view when depth is smaller than rgb. 2016-09-01 16:42:34 -04:00
matlabbe
87b9f30dce fixed warning ("centroid" may be not initialized)... 2016-09-01 14:55:19 -04:00
matlabbe
76298e86be CMake: set WITH_QT=OFF for android by default 2016-09-01 13:40:44 -04:00
matlabbe
aaef1ac997 Merge pull request #111 from willdzeng/master
include list in FlannIndex.h
2016-08-31 22:19:00 -04:00
Di Zeng
794ee2f562 include list in FlannIndex.h 2016-08-31 15:06:50 -07:00
Mathieu Labbe
546c66ea3c cloudFromDepth(): changed roi ratios warning to error 2016-08-31 14:15:48 -04:00
matlabbe
7a4de966d4 cloudFromDepth(): fixed roi ratios not used if one value was null. DbViewer: Added occupancy grid clouds to 3d views, add action to regenerate occupancy grids only for the current selected ids. 2016-08-31 12:43:54 -04:00
matlabbe
c404234635 OccupancyGrid: added Grid/Footprint*** parameters, templated segmentCloud() function, added Grid/ClusterRadius parameter. Parameters: fixed getDefaultParameters(group) function to correctly compare groups. 2016-08-31 12:43:54 -04:00
matlabbe
6fe7d5a856 OccupancyGrid: fixed 2d scan not transformed before creating grid 2016-08-31 12:43:54 -04:00
matlabbe
2fb71445da Added warning when requesting a path before beeing localized 2016-08-31 12:43:54 -04:00
matlabbe
79b51311bc DatabaseViewer: removed unknown grid cell filled parameter 2016-08-31 12:43:54 -04:00
matlabbe
fe6eb01404 Fixed opencv setSize assert error (RegistrationVis):
[DEBUG] (2016-08-29 10:26:03.821) RegistrationVis.cpp:460::computeTransformationImpl() kptsFrom=0
[DEBUG] (2016-08-29 10:26:03.821) RegistrationVis.cpp:461::computeTransformationImpl() kptsTo=0
OpenCV Error: Assertion failed (s >= 0) in setSize, file /home/mathieu/workspace/opencv-2.4.11/modules/core/src/matrix.cpp, line 116
terminate called after throwing an instance of 'cv::Exception'
  what():  /home/mathieu/workspace/opencv-2.4.11/modules/core/src/matrix.cpp:116: error: (-215) s >= 0 in function setSize
2016-08-31 12:43:54 -04:00
matlabbe
5542918b04 Fixed holes in 2d occupancy grids created from scans. Fixed grid map in 3D view not updated. 2016-08-31 12:43:54 -04:00
matlabbe
e93ef025a1 DatabaseViewer: added occupancy grid to 3D view 2016-08-31 12:43:54 -04:00
matlabbe
8d31b6140d CloudViewer: added occupancy grid support for PCL < 1.7.2 2016-08-31 12:43:54 -04:00
matlabbe
4e027a6515 Grid/DetectFlatObstacles default true. segmentObstaclesFromGround(): Fixed not used indices still kept in obstacles output 2016-08-31 12:43:54 -04:00
matlabbe
797f1f0f1c DatabaseViewer: added regeneration of occupancy grids action and saving back to database on close 2016-08-31 12:43:54 -04:00
matlabbe
4d8200fef3 Added "RGBD/ProximityPathMaxNeighbors" parameter 2016-08-31 12:43:54 -04:00
matlabbe
edee909324 RegistrationICP: fixed local scan transform issue 2016-08-31 12:43:54 -04:00
matlabbe
48f54cf2f2 FlannIndex: changed how detection of index rebuilt is done (to handle index that always rebuild on addPoints()). CameraImages: Fixed null scan local transform 2016-08-31 12:43:54 -04:00
matlabbe
c8cb961108 Refactored FlannIndex: Moved class into its own include file. Added radiusSearch() and buildKDtreeSingleIndex() methods. If dimensions <= 3 and float, use L2_Simple distance type. 2016-08-31 12:43:53 -04:00
matlabbe
013eba1d58 0.11.10: Database update with occupancy grid and laser scan info. Added class LaserScanInfo and OccupancyGrid (incremental 2d grid map). Gui: 2d grid and octomap are udpated using occupancy grids saved in nodes. 2016-08-31 12:43:53 -04:00
matlabbe
af02e02978 Added Occupancy class. Database SQL: added ground_cells, obstacle_cells and cell_size fields to Node table (updated Signature too). 2016-08-31 12:43:53 -04:00
matlabbe
b947bde3db ZED SDK v1.1.0: Fixed compilation errors 2016-08-31 11:37:27 -04:00
matlabbe
34b8fdfe6d Merge pull request #110 from berkaydeniz/finddc1394-fix
in FindDC1394.cmake Mac OS X based framework setup gives errror.
2016-08-31 11:07:55 -04:00
Berkay Deniz Ilhan
47e7b621ad in FindDC1394.cmake Mac OS X based framework setup gives errror. 2016-08-30 02:30:35 -04:00
Mathieu Labbe
52c7395578 fixed rgbdMatC4 not declared compilation error (bug from #108) 2016-08-28 16:06:49 -04:00
matlabbe
fb527e5df4 util2d::getDepth() fixed tmp not divided 2016-08-27 09:06:15 -04:00
matlabbe
7161756cc9 Merge pull request #108 from lesterlo/nvidia_jetson_fix
Improve Freenect2 performance
2016-08-26 09:50:22 -04:00
lesterlo
f180beb3f9 1. Add freenect2 cuda pipeline
2. Fix TegraJPEG Color problem, convert from RGB to BGR
2016-08-26 15:40:10 +08:00
matlabbe
a302a6334d Fixed #107 2016-08-24 09:02:58 -04:00
matlabbe
18b1931e7c Added occupancy grid footprintRadius parameter to clear obstacles under path 2016-08-14 14:52:42 -04:00
matlabbe
ae7436a41b Fixed bug where very long paths (over maxGraphDepth) were used for scan matching. Added "RGBD/ProximityMaxPaths" parameter (default 3) to limit the number of path comparisons for proximity detection. 2016-08-12 18:43:12 -04:00
matlabbe
a0d76eabe5 RegistrationVis: don't assert if descriptorsFrom is 0, only if kptsFrom and descriptorsFrom are non null and not equal 2016-08-12 10:59:43 -04:00
matlabbe
5557701f44 suppressing CMP0020 and CMP0043 warnings 2016-08-11 14:13:29 -04:00
matlabbe
0ccb69bc06 Fixed calibrations not loaded for bad signatures 2016-08-10 10:35:53 -04:00
matlabbe
0152941ecf MainWindow: Fixed a bug creating more error with refining with ICP in Post-Processing 2016-08-10 10:06:22 -04:00
matlabbe
28462bb2b5 Preferences/Source: fixed disabled RGBD Images source 2016-08-09 17:13:08 -04:00
matlabbe
a824b24058 Added util3d::transformLaserScan(). OdomF2F: filling local scan map field with key frame scane in odom info. DbViewer: Print database parameters in Info view. 2016-08-08 14:35:39 -04:00
matlabbe
6ef9034a67 Fixed ICP-only odometry when guess from motion is enabled 2016-08-07 20:54:56 -04:00
matlabbe
93f1ae501c Fixed disabled KDTree in Preferences when built without nonfree OpenCV module 2016-08-05 16:55:06 -04:00
matlabbe
d9b3eafc39 DatabaseViewer: cloud in 3D view is now in base frame instead of camera frame 2016-08-05 15:30:38 -04:00
matlabbe
5dd42cf925 Added r200 icon 2016-08-03 20:03:31 -04:00
matlabbe
e4c4c8c468 Added c++11 flag when RealSense is detected 2016-08-03 11:39:43 -04:00
matlabbe
72a76f6c80 Tango: Fixed computeNormals() type conversion build error #90 2016-08-01 16:00:58 -04:00
matlabbe
071670e24c Added c++11 flag for Android build (Tango) issue #90 2016-08-01 15:38:22 -04:00
matlabbe
c25c1db3da Odometry: changed isF2M() and isF2F() by getType() (following pull request https://github.com/introlab/rtabmap/pull/102) 2016-08-01 15:26:35 -04:00
matlabbe
c0cc57d1d8 Merge pull request #102 from willdzeng/master
added the type virtual function to avoid dynamic cast
2016-08-01 15:13:15 -04:00
Di Zeng
33dab87765 added the type virtual function to avoid dynamic cast 2016-07-28 11:59:24 -07:00
matlabbe
9d09c509ab Added librealsense support #100 2016-07-26 18:39:34 -04:00
matlabbe
dbb29c7661 databaseViewer: Fixed link's covariance modified when pose correction was disabled. Link: setVariance() and setInfMatrix are now private, to force re-cloning the link if we want to change these info. 2016-07-24 13:23:22 -04:00
matlabbe
1a1cf5f672 Freenect2: Fixed initRectifyMap error with custom calibration 2016-07-21 12:40:25 -04:00
matlabbe
759c917498 Octomap: changed warning log "Did not find...in cahe" to a debug log 2016-07-21 10:14:22 -04:00
matlabbe
d7b1d617ea GUI: Fixed loaded parameters not actually modified from opened database 2016-07-20 17:07:35 -04:00
matlabbe
1e47271c91 DBReader: Fixed wrong virtual inherited function name odometryProvided() -> odomProvided() 2016-07-20 16:37:32 -04:00
matlabbe
1dca6116be Fixed default parameters on init for octomap 2016-07-20 15:17:59 -04:00
matlabbe
ff59274c95 updated LICENSE year 2016-07-17 22:01:57 -04:00
matlabbe
ca6cd19fb1 Updated Copyright year and About dialog summary 2016-07-17 21:57:10 -04:00
matlabbe
be61eefdf9 Fixed build errors without octomap 2016-07-17 21:36:54 -04:00
matlabbe
cf2bb6b599 CMake: Added PCL_OMP option (default ON) to use OMP implementations of some PCL classes (#50) 2016-07-17 21:04:11 -04:00
matlabbe
d739d04232 Disable multi-arch lib by default (#97) 2016-07-17 20:12:13 -04:00
matlabbe
711ff2692c Updated default x-axis units of the figures with time stamps instead of IDs (#48). 2016-07-17 19:58:32 -04:00
matlabbe
705f4337e4 Fixed #42 2016-07-17 17:44:12 -04:00
matlabbe
237ab2be45 Projection map frame is still doing roll/pitch transformation (without z) 2016-07-17 17:06:36 -04:00
matlabbe
536136af77 Fixed octomap height when in /map frame. Preferences: added Cloud Filtering and Occupancy Grid Map subpanels to 3D Rendering 2016-07-17 16:47:06 -04:00
matlabbe
d4e5cfb548 fixed octomap ground cells removed when updating graph 2016-07-17 15:37:08 -04:00
matlabbe
b5e5e9508c fixed crash when activating octomap while mapping 2016-07-17 14:58:28 -04:00
matlabbe
f161609a24 Added octomap ground is an obstacle option 2016-07-16 10:57:59 -04:00
matlabbe
b4b7b6f455 Added Octomap visualization and export options 2016-07-15 17:46:13 -04:00
Mathieu Labbe
c24079884d Reset stuck when moving toward the goal 2016-07-11 17:40:34 -04:00
matlabbe
38c3e3600d Planning stuck detection updated: now using distance to goal 2016-07-11 17:16:11 -04:00
matlabbe
09795678ef Merge branch 'master' of github.com:introlab/rtabmap into devel 2016-07-08 19:45:00 -04:00
matlabbe
b3207d6402 PLanning: Detect if the pose is reachable from the current node before looking for the nearest one 2016-07-08 19:44:44 -04:00
matlabbe
c6439cb1b7 Merge branch 'master' of github.com:introlab/rtabmap into devel 2016-07-08 19:23:05 -04:00
matlabbe
61f6e5ff79 Using fly distance instead of path distance to update the farthest goals 2016-07-08 19:22:48 -04:00
matlabbe
4cd8705710 Fixed cloudFromDepth() method when depth image is not the same size as the calibration file. That fixes projection map created from Tango databases (where depth size != rgb size) 2016-07-08 12:47:23 -04:00
matlabbe
c8cd2545d3 fixed build without octomap 2016-07-08 00:21:36 -04:00
matlabbe
6f310ff63a util2d::getDepth(): fixed small error on depth assignation (mm) 2016-07-05 18:21:39 -04:00
matlabbe
20862f07bc RegistrationInfo: added IcpTranslation and IcpRotation members 2016-07-05 11:23:59 -04:00
matlabbe
1365eaca3a Merged master to devel 2016-07-04 15:38:28 -04:00
matlabbe
9dfc7801a0 Fixed fatal error in #91 2016-07-04 13:39:33 -04:00
matlabbe
02d4ca5c8b util3d::segmentObstaclesFromGround: added viewPoint argument (default 0,0,100) 2016-07-04 11:47:10 -04:00
matlabbe
c2a7b2f13a Odometry: Added process() with optional guess interface 2016-06-30 11:34:46 -04:00
matlabbe
4115bc416e Added OctoMap class 2016-06-28 19:00:44 -04:00
matlabbe
060a3fd47e Merge branch 'master' of github.com:introlab/rtabmap into devel 2016-06-27 16:11:08 -04:00
matlabbe
84726fa45c Update Odometry.cpp 2016-06-27 16:10:18 -04:00
matlabbe
3609c961ea Merge branch 'master' of github.com:introlab/rtabmap into devel 2016-06-27 16:08:53 -04:00
matlabbe
756e176878 Update Odometry.cpp
Odometry: Added additional debug information on dt>0 assert
2016-06-27 16:08:25 -04:00
matlabbe
1398b71b60 Merge branch 'master' of github.com:introlab/rtabmap into devel 2016-06-27 12:17:55 -04:00
matlabbe
f69ca56179 Features2D: Using 255 mask values for ORB (#89). Fixed ignored mask by FAST when called from ORB. 2016-06-27 11:54:21 -04:00
matlabbe
a310b5e864 DB: Added error when loading a database with version more recent than installed rtabmap version 2016-06-25 13:28:26 -04:00
matlabbe
517bfa5272 OdometryF2M: updated how local scan map is updated 2016-06-25 13:18:09 -04:00
matlabbe
ca95c9de97 Changed an OpenCV_LIBS to OpenCV_LIBRARIES 2016-06-24 21:00:12 -04:00
matlabbe
37c269bc0b fixed a warning 2016-06-24 19:23:11 -04:00
matlabbe
e90c97f8a4 ZED driver: added option to use visual odometry approach from zed sdk. RtabmapThread: fixed thread state change on new map trigger on Odometry init (variance=9999). Odometry: on init, verify that the first frame is ok before sending first pose. Parameters: Mem/SaveDepth16Format is now false by default 2016-06-24 18:49:34 -04:00
matlabbe
af6e17fce8 GUI: Added color code for odometry features 2016-06-24 16:02:27 -04:00
matlabbe
b86352bfc0 merged master to devel 2016-06-23 15:44:24 -04:00
matlabbe
f03a1b50ef Fixed build with ZED SDK 1.0.0... cmake find_package ZED version 1 (#85) 2016-06-23 15:41:32 -04:00
matlabbe
70da8d26c0 Fixed build with ZED SDK 1.0.0 (#85) 2016-06-23 15:40:11 -04:00
matlabbe
333c7433e8 Merge branch 'master' of https://github.com/introlab/rtabmap into devel 2016-06-23 11:27:58 -04:00
matlabbe
f2d48cb894 Fixed ICP-only registration with already provided guess (no need to do visual guess, as the guess can be already good) 2016-06-23 11:08:20 -04:00
matlabbe
22766e958f Update VWDictionary.cpp
Fixed "HAVE_OPENCV_CUDAFEATURES2D" build error of https://github.com/introlab/rtabmap/issues/85
2016-06-22 19:28:22 -04:00
matlabbe
42c3186a53 Memory::computeTransform(): fixed null guess sent to pure ICP registration 2016-06-21 16:42:21 -04:00
matlabbe
530919c531 CameraThread: fixed scan from depth max points with multi-camera 2016-06-21 11:36:50 -04:00
matlabbe
0ec39e3c77 DBReader now inherits from Camera (so that CameraThread's post processing stuff can be used with a database stream) 2016-06-21 11:22:24 -04:00
matlabbe
cdddb1209e DBReader: added camera selection 2016-06-20 10:50:01 -04:00
matlabbe
62db5370aa CloudViewer: Added updateCameraFrustum() method (multi-cameras supported) 2016-06-19 18:33:36 -04:00
matlabbe
ab991c2a7d CameraModel::scaled() scale Tx an Ty too 2016-06-17 16:47:02 -04:00
matlabbe
d03b54d95a Parameters: removed trailing 0 for double/float parameters, to avoid serializing with them (so that we don't have the 0.0 != 0 when loading parameters from database) 2016-06-16 15:34:27 -04:00
matlabbe
62a982ef9f DbDriverSqlite3: Fixed multi-camera calibration loading error with version >= 0.11.2 2016-06-16 14:57:55 -04:00
matlabbe
798c3cb373 Registration: added warning when GuessFlowSize is set and multi-camera is detected instead of crashing on an assert 2016-06-15 18:13:11 -04:00
matlabbe
7f55e2c9bb Merge branch 'master' of github.com:introlab/rtabmap into devel 2016-06-15 16:39:25 -04:00
matlabbe
8e76de7d34 Fixed GTSAM/Eigen include dir 2016-06-15 15:48:56 -04:00
matlabbe
ac284ab067 GUI: fixed odometry visibility flickering 2016-06-15 14:18:26 -04:00
matlabbe
95f9304f4f CameraStereo: fixed rectify=false ignored 2016-06-15 11:36:37 -04:00
matlabbe
7b733686cb Updated CameraVideo and CameraStereoVideo constructor interface with USB 2016-06-15 11:30:05 -04:00
matlabbe
bdafb9a3f1 Merge branch 'master' of github.com:introlab/rtabmap into devel 2016-06-14 11:56:22 -04:00
matlabbe
abd376a44c segmentObstaclesFromGround() fixed identical ground and obstacles indices 2016-06-14 11:55:58 -04:00
matlabbe
38a7993a9b Database: added "parameters" field in Statistics table. GUI: detecting if parameters in database are different from the Preferences, if so ask user to update them. 2016-06-13 17:34:17 -04:00
matlabbe
3edb133727 Increased default Stereo/MaxDisparity to 128 2016-06-13 14:37:19 -04:00
matlabbe
84dd258777 Added "Odom/AligWithGround" parameter. Added util3d::extractPlane(). 2016-06-12 21:45:22 -04:00
matlabbe
543b8df045 MainWindow: Added statistics about how much size the created clouds take in RAM. Avoid caching data on small movements. Export: Fixed meshing checkbox and pipeline combo box not saved/loaded. PreferencesDialog: Added option to disable caching the point clouds. computeNormals(): added viewpoint parameter. mls(): making sure that all returned normals are normalized. 2016-06-12 17:53:35 -04:00
matlabbe
cb7c76889d API achange (0.11.8): computeNormals returns only pcl::Normal cloud, not pcl::PointNormal or pcl::PointXYZRGBNormal types. MainWindow: Normals are not kept in cache to save RAM. ProgressDialog: check if auto-close is still checked when close() slot is called. 2016-06-12 13:51:49 -04:00
matlabbe
9f296c67b2 GUI: Added more parameters for 3D projection grid map 2016-06-10 20:12:13 -04:00
matlabbe
4a3f490814 Added Reg/Force2D compatibility name for Reg/Force3DoF 2016-06-09 15:49:17 -04:00
matlabbe
cbf348fafa labels can be saved in localization mode 2016-06-08 18:19:51 -04:00
matlabbe
e205883de5 Export: set 0 voxel size by default 2016-06-08 11:53:25 -04:00
matlabbe
ce04336648 fixed cmake warning, removed a .DS_Store from repository 2016-06-04 16:21:00 -04:00
matlabbe
a8bf7e5d5f Fixed Qt5 plugins release. Zed driver: sdded 2 seconds delay before sending grab error. 2016-06-04 15:17:13 -04:00
matlabbe
69e1973544 Update MainWindow.cpp 2016-06-03 15:06:18 -04:00
matlabbe
2f817568e2 MainWindow: Don't show an error if a created cloud is empty 2016-06-02 17:52:22 -04:00
matlabbe
d9611f784c Added ZED parameters 2016-06-02 17:27:12 -04:00
matlabbe
9430bcbf2e Increased ROS package version to 0.11.7 2016-06-01 14:53:00 -04:00
matlabbe
a6f7062f92 Export intern dependencies in RTABMapConfig.cmake 2016-06-01 13:13:30 -04:00
matlabbe
e234717129 Fixed ZED sdk build on Linux (added c++11) 2016-05-31 20:19:04 -04:00
matlabbe
6f1f490370 0.11.7: Added ZED sdk support 2016-05-31 19:09:49 -04:00
matlabbe
b2bb421063 Fixed pcl:OrganizedFastMesh link error for type pcl::PointXYZRGBNormal with PCL 1.8 (issue #75) 2016-05-31 12:23:13 -04:00
matlabbe
be13a9b967 Fixed localization bug when virtual links are added 2016-05-26 17:28:06 -04:00
matlabbe
0fa41d317a Added log msg to tell when switching from Mapping to Localization is finished 2016-05-26 12:51:32 -04:00
matlabbe
a4d36e0212 MainWindow: fixed same bug as previous commit 30fecd412c but on runtime 2016-05-26 12:38:18 -04:00
matlabbe
30fecd412c MainWindow: Fixed clouds shown (and should not) after refreshing map with grid from projection enabled and cloud map visualization unchecked 2016-05-26 12:35:02 -04:00
matlabbe
0d61c12dcd Create map from projection: Removed debug cloud saved 2016-05-26 12:23:44 -04:00
matlabbe
7f2a899c6f Updated default decimation to 4 instead of 8 2016-05-26 12:13:59 -04:00
matlabbe
0bbb773e95 fixed passthrough not using input indices 2016-05-21 16:02:57 -04:00
matlabbe
7aa9c92971 Added util3d::pasthrough returning indices for convenience. segmentObstaclesFromGound(): filtering obstacles under maxGroundHeight if set 2016-05-21 15:54:37 -04:00
Mathieu Labbe
904f4bb4d8 Features2d: updated computeROI() to be more precise 2016-05-21 14:56:25 -04:00
matlabbe
09696195f4 Version 0.11.6 2016-05-20 17:27:03 -04:00
matlabbe
971c96f566 MainWindow projected map: fixed bad occupancy from wrong normals after voxel filtering. util3d::segmentObstaclesFromGround(): added flatObstacles argument. 2016-05-20 17:25:52 -04:00
matlabbe
4fdaa2b708 CloudViewer: fixed numpad color not working -> reverted changes from ad0afc58c0 (diff-d7a550026127f42ccabdb5e42979eeeb) 2016-05-20 16:38:35 -04:00
matlabbe
9f6af75f79 Local scan matching: set larger scan points for max scan points when it is not set. Fixed missing scan Ids in links' user data to correctly visualize proximity links by space in DatabaseViewer. CloudViewer: using line instead of arrow between the referential and the frustum. removed parameter "RGBD/ProximityPathScansMerged" as visual proximity by space already does that. 2016-05-20 11:44:50 -04:00
matlabbe
b29ce28877 CloudViewer: Fixed crash when changing frustum's color 2016-05-19 17:19:11 -04:00
matlabbe
ff7406a755 Memory::computeTransform(): removed setting guess to identity if input guess is null 2016-05-19 17:01:46 -04:00
matlabbe
a8be08a19a Registration: if parent registration fails, continue with the child if the prior guess is not null 2016-05-19 16:11:26 -04:00
matlabbe
1ecaae364c Generalized neighbor link refining using registration done in Memory (can be visual, visual+icp or, icp) 2016-05-19 15:35:30 -04:00
Mathieu Labbe
2637f74094 Added some debug info 2016-05-19 14:31:29 -04:00
Mathieu Labbe
02d944aa67 CalibrationDialog: fixed D not shown properly, add scroll area for small screens 2016-05-19 11:40:48 -04:00
matlabbe
a6bad6d2a5 F2F nonholonomic bad transforms fixed (https://github.com/introlab/rtabmap_ros/issues/74) 2016-05-17 18:10:24 -04:00
matlabbe
0ae131108d CloudViewer: Added local transformation between base frame and camera frame (when they are not the same) 2016-05-17 16:32:21 -04:00
matlabbe
2db6b2ceef segmentObstaclesFromGround: Added epsilon for ground surface inclusion inside maximum and minimum heights 2016-05-16 16:26:16 -04:00
matlabbe
f19c058634 Merge branch 'jade-devel' of https://github.com/introlab/rtabmap into jade-devel 2016-05-14 12:11:10 -04:00
matlabbe
ceb4acd749 Merge branch 'master' of https://github.com/introlab/rtabmap into jade-devel 2016-05-14 12:09:29 -04:00
matlabbe
dde0e26110 Tango: C-API Code Migration to Mira release 2016-05-12 14:34:51 -04:00
matlabbe
1fbcc2319a 0.11.5: added RTABMAP_QT_VERSION to RTABMapConfig.cmake (used by rtabmap_ros to know to which Qt version it should link) 2016-05-09 11:17:51 -04:00
matlabbe
c7670c505d ROS: Added qt_gui_core dependency to get libqt4-dev or libqt5-dev installed 2016-05-08 11:56:25 -04:00
matlabbe
80c84a66fe package.xml: added dependency to libvtk-qt (fixing Kinetic on Wily build) 2016-05-06 15:33:10 -04:00
matlabbe
5e4111d67e ROS: removed libopenni2-dev dependency as it is not yet available on Jessie 2016-05-06 13:07:38 -04:00
matlabbe
c8ed731809 Fixed package dependencies for Kinetic 2016-05-06 12:55:19 -04:00
matlabbe
22577bdf71 ROS: updated package version to 0.11.4 2016-05-06 12:36:11 -04:00
matlabbe
622dfb370d Merge branch 'master' of https://github.com/introlab/rtabmap 2016-05-05 18:25:46 -04:00
matlabbe
ad0afc58c0 Fixed crash on startup with vtk6+qt5. All cloud viewers in QDockWidget are now created manually instead of being defined in the *.ui files. The generated ui didn't pass the top level parent window to constructor of CloudViewer, which caused a problem when initializing the QVTKWidget. 2016-05-05 18:25:26 -04:00
matlabbe
7c8583f025 fixed crash from #79 2016-05-05 11:53:09 -04:00
matlabbe
74d0bfa1bb Qt5: fixed "read parameters..." progress dialog showing up on start 2016-05-04 19:03:22 -04:00
matlabbe
e1866d38af Fixed cmake erros on system with Qt4 2016-05-04 16:51:41 -04:00
matlabbe
b8c2cd9f94 Auto detect which Qt version to use (Qt5 has priority if both are installed). ROS Kinetic fix for vtk libproj.so not found bug. 2016-05-04 16:45:19 -04:00
matlabbe
d2882a88f3 fixed isnan() not defined 2016-05-03 20:44:06 -04:00
matlabbe
7230474f98 MainWindow: update pose in 3D Map view even if odometry has no images 2016-04-29 14:29:55 -04:00
matlabbe
b2c36742ee travis: disabled email notifications 2016-04-28 10:11:44 -04:00
matlabbe
427f44dca3 Update README.md 2016-04-28 10:01:58 -04:00
matlabbe
fc7659888c travis: auto answer yes on apt-get 2016-04-28 09:49:33 -04:00
matlabbe
f81734a8e5 travis: added ros keys 2016-04-28 09:44:09 -04:00
matlabbe
d92c3d224c travis updated 2016-04-28 09:36:44 -04:00
matlabbe
70fd054f67 travis pcl 2016-04-28 09:31:19 -04:00
matlabbe
5a3c7c7a24 updated .travis.yml 2016-04-28 09:27:28 -04:00
matlabbe
1091960282 Added .travis.yml 2016-04-28 09:15:36 -04:00
matlabbe
a78587e505 Hidden FPS shown in CloudViewer 2016-04-26 14:24:09 -04:00
matlabbe
f408ef8922 Calibration: added max scale parameter 2016-04-25 17:02:25 -04:00
matlabbe
8e1fc0df56 Calibration: added support for stereo IR cameras 2016-04-25 09:52:03 -04:00
Mathieu Labbe
4cc1c66f09 Segment ground/obstacles: added max ground height parameter 2016-04-15 17:41:40 -04:00
Mathieu Labbe
8bb5f0d905 Fixed Vis/MinDepth not working (with depth image in mm) 2016-04-14 11:24:36 -04:00
Mathieu Labbe
d5b385ec69 PreferencesDialog: Removed NN warning when RTABMAP_NONFREE=0 2016-04-14 11:01:24 -04:00
matlabbe
7c0db617cf GraphViewer: added hide/show graphs and paths options 2016-04-13 12:57:28 -04:00
matlabbe
809f5dd4df MainWindow: working directory of GUI widgets can be updated when running 2016-04-13 11:58:54 -04:00
matlabbe
9339b86633 API change: segmentObstaclesFromGround() and normalFiltering() 2016-04-12 18:57:04 -04:00
matlabbe
fc76e5b8f3 3D projection: adding pose rotation (roll, pitch) before projection 2016-04-12 17:45:50 -04:00
matlabbe
f511896c43 MainWindow: Fixed "Invalid (NaN, Inf) point coordinates given to radiusSearch" error when creating occupancy map from projection 2016-04-12 17:16:13 -04:00
matlabbe
b53b861342 GUI: Fixed viewpoint including local transform when generating organized mesh 2016-04-12 16:47:55 -04:00
matlabbe
684e9fb8b9 0.11.4: API change: added minDepth parameter to cloudFromXXXXX() methods and removed voxel parameter 2016-04-12 15:14:04 -04:00
matlabbe
f185a4d739 Updated default RGBD/OptimizeMaxError to 0.05 m for Tango app 2016-04-11 10:43:28 -04:00
matlabbe
29dd529762 Main app: Open database as argument, file association *.db on Mac OS X, automatically ask to download clouds when opening a database 2016-04-10 14:52:14 -04:00
matlabbe
72fc714cb4 Tango: fixed export with optimization, added "Nodes Filtering" option 2016-04-09 18:57:49 -04:00
matlabbe
656431a03f Tango: Fixed Mem/ImagePreDecimation when changing to/from 720p mode 2016-04-09 12:08:30 -04:00
matlabbe
cc9c9d552c Tango: Fixed auto-exposure config error (now ignoring it), updated log info 2016-04-08 18:58:18 -04:00
matlabbe
ab35106359 Fixed build errors with log2 not defined on some os 2016-04-08 17:20:13 -04:00
matlabbe
dece54ca3e Added parameters: Mem/ImagePreDecimation Mem/ImagePostDecimation Odom/ImageDecimation 2016-04-08 16:15:08 -04:00
matlabbe
0b3da6b246 DbViewer: labels are now selectable 2016-04-07 12:26:24 -04:00
matlabbe
d5553db9eb DbViewer: Added calibration info 2016-04-07 12:15:58 -04:00
matlabbe
748360aac7 Vocabulary: Binary descriptors are saved as is even if there is a float conversion for flann 2016-04-07 11:48:07 -04:00
matlabbe
0bb82af91c Tango: moved Auto-exposure option in Rendering menu, updated pop-up time "Loop closure detected" 2016-04-06 18:07:45 -04:00
matlabbe
9270fc9ca9 Fixed OptimizerG2O::pixelVariance_ not initialized 2016-04-06 17:02:31 -04:00
matlabbe
d2ebdea96d Added parameter "g2o/PixelVariance" (default 1) 2016-04-06 15:24:36 -04:00
matlabbe
000a2727ef Added .gitignore 2016-04-05 17:10:08 -04:00
matlabbe
e3a44bbb08 Tango: increased package version to 2 2016-04-04 13:24:25 -04:00
matlabbe
af405e69b1 Tango #57: Increased version to 0.11.3, updated Post-Processing actions, added mesh rendering actions, fixed point cloud rendering 2016-04-04 13:03:43 -04:00
matlabbe
ff32f54aa8 Rtabmap::detectMoreLoopClosures(): use Memory::computeTransform() with signature parameters 2016-04-03 21:49:12 -04:00
matlabbe
5d9522c901 Tango #57: Global optimization / Post-processing on pause 2016-04-03 21:35:30 -04:00
matlabbe
30e52b785a Tango #57: Added 720p option, Export PLY or OBJ, Added Rendering and Mapping menus, RtabmapThread: Fixed large covariance (9999) detection 2016-04-02 15:17:40 -04:00
matlabbe
d489cd48e9 Frustum hiding on action click 2016-03-31 12:44:03 -04:00
matlabbe
30777b630a Fixed issue #10 (missing one iteration on rtabmap-console) 2016-03-29 13:07:32 -04:00
matlabbe
8030d89634 Implemented OptimizerG2O::optimimzeBA(). Updated PostProcessingDialog (g2o sba option). Fixed words descriptors not filled in rtabmap::getMap3D(). CameraModelD(): return 5 null coeff distorsions if not set 2016-03-28 18:19:17 -04:00
matlabbe
18759e7197 CMake: Added info about CMAKE_INSTALL_LIBDIR 2016-03-23 19:56:45 -04:00
matlabbe
d74cb1b232 Updated pull request (supporting internal/external build) 2016-03-23 19:07:44 -04:00
matlabbe
cee3a77a4c Merge pull request #61 from Wade5566/patch-1
Update CMakeLists.txt
2016-03-23 19:06:40 -04:00
matlabbe
1120a74b13 Updated RGB-D mapping C++ example 2016-03-23 14:18:22 -04:00
Wade5566
6a787670a1 Update CMakeLists.txt
Fix the CMakeLists.txt which cannot be used
2016-03-23 17:48:16 +08:00
matlabbe
a01fb82f51 ExportCloudsDialog: Updated TextureMesh export. MainWindow: fixed exporting only visible clouds. 2016-03-22 20:44:18 -04:00
matlabbe
c43fd6a2a7 Optimizer::create() updated interface 2016-03-22 11:06:45 -04:00
matlabbe
9385aa2332 Tango: Added OBJ export (with texture) 2016-03-21 20:03:03 -04:00
matlabbe
bc78f789eb Tango: Added texture to meshes #57 2016-03-21 15:45:26 -04:00
matlabbe
1b4539a0df Tango: added asking Motion Tracking permission 2016-03-17 22:37:59 -04:00
matlabbe
3f48b39ccb MainWindow: Hiding soruce label on monitoring state 2016-03-17 10:47:50 -04:00
matlabbe
36d199a2b3 Added "RGBD/OptimizeSlam2d" parameter warning 2016-03-15 12:52:28 -04:00
matlabbe
bff0c1cb84 fixed #55 2016-03-15 12:29:36 -04:00
matlabbe
280cb28030 Updated FindG2O.cmake to add chmold include directory 2016-03-15 12:22:28 -04:00
matlabbe
79b1d601e8 Updated default parameter "Vis/MinInliers=20" to be more robust on odometry recovery 2016-03-14 19:27:13 -04:00
matlabbe
d6eb923bef Fixed build for C++03 2016-03-14 18:08:05 -04:00
matlabbe
5c92025742 Added Export Scans dialog 2016-03-14 17:27:53 -04:00
matlabbe
04df6ba41c Stereo: Fixed min/max depth filtering 2016-03-13 16:58:36 -04:00
matlabbe
be559c181a Updated default Vis/PnPRefineIterations=1 2016-03-13 13:15:06 -04:00
matlabbe
e0860dd83c Fixed build with PCL < 1.7.2 2016-03-13 12:07:05 -04:00
matlabbe
47da9014ae fixed typos (background color code tool tip) 2016-03-12 17:31:36 -05:00
matlabbe
a2e6811645 CloudViewer: Added Frustum visualization 2016-03-12 17:09:01 -05:00
matlabbe
6c15cb8b25 Fixed multi-kinects keypoint projection 2016-03-11 23:27:41 -05:00
matlabbe
3cb3524aa2 RegistrationICP: adjusting maxLaserScans if voxel filtering is done 2016-03-11 20:13:24 -05:00
matlabbe
152d47e62a create2DMap: removed hard-coded max 6 meters range for unknown space filling. util3d::downsample() now returns a copy of the scane if step is larger than the scan size 2016-03-11 19:58:48 -05:00
matlabbe
48644a17f0 Statistics: Updated "LocalLoop" to "Proximity" 2016-03-11 17:54:01 -05:00
matlabbe
56bf2b788f ConsoleApp: parsing rtabmap parameters before app's parameters 2016-03-11 17:01:52 -05:00
matlabbe
0ae17ff17d Added Parameters::parseArguments() and Parameters::showUsage() functions for convenience. Updated OdometryViewer and Console tools to use parseArguments(). 2016-03-11 16:54:54 -05:00
matlabbe
33525b292f Fixed qt signal warning 2016-03-10 16:50:24 -05:00
matlabbe
dcc98eebb5 fixed some warnings 2016-03-10 16:41:08 -05:00
matlabbe
5f7dfb943c Source depth from scan: filling holes is now optional (though still true by default) 2016-03-10 12:31:22 -05:00
matlabbe
cee9c65b06 Added image size to all camera calibration inputs. Memory::computeTransform() more fine tuning to know if data should be loaded from database. 2016-03-10 09:07:44 -05:00
matlabbe
609cc3dc59 Fixed some missing rgb conversions before descriptor extractions. RegVis: re-extracting 3D kpts if Signature.words3() and actual kpts are not the same size. Updated fast visual guess on Memory::computeTransform(). 2016-03-09 19:17:29 -05:00
matlabbe
0f477d6853 RegVis: if calibration is not found, local features matching using guess is not done, global matching is done instead. CameraModel/StereoCameraModel: added imageSize argument to constructors 2016-03-09 17:15:05 -05:00
matlabbe
49b5514319 OdomF2M: fixed initial 3D points transformed 2016-03-09 16:32:16 -05:00
matlabbe
b634b34a65 Odometry: added getter previousVelocityTransform() 2016-03-09 16:04:58 -05:00
matlabbe
2a83bc7f07 Update util3d.h 2016-03-09 11:45:26 -05:00
matlabbe
c4ee125f73 Building more robust OpenCV3's cv::solvePnPRansac() in OpenCV2 build 2016-03-08 19:51:50 -05:00
matlabbe
e5c500fad0 Fixed scan visibility logger error when scans are not shown 2016-03-08 12:41:25 -05:00
matlabbe
62c8be40b9 Added ORB+FastGrid implementation (only with OpenCV2). Updated default parameters: Odom/GuessFromMotion=false, Vis/CorNNType=1. RegistrationVis: octave aware on features matching with motion 2016-03-08 12:31:32 -05:00
matlabbe
e0b25aac8f fixed toro warnings 2016-03-07 15:15:48 -05:00
matlabbe
3ff4b4c439 fixed warnings 2016-03-07 15:03:17 -05:00
matlabbe
7a1cf84b08 OdomF2M: added support to laser scan 2016-03-06 15:11:09 -05:00
matlabbe
eefd557ab4 Added parameter "RGBD/ProximityAngle"
Updated default of GuessMotion parameters
Proximity detection by time: added guess transform based on optimized poses
RegistrationVis: ByPass OpticalFlow if no images are detected (use features matching instead if features are set)
solvePnPRansac() refining: using std dev instead of variance
Statistics panel: creating Camera/GUI/Odometry panels without the need to start detection (issue #51)
Statistics: Adding a GT panel when ground truth poses are detected with RMSE info
2016-03-02 18:11:19 -05:00
matlabbe
bcd96a97a3 Fixed not detected openni-pcl 2016-03-02 10:14:38 -05:00
matlabbe
6a84ed6bd1 Updated OdomF2M/MaxNewFeatures description 2016-03-02 10:08:42 -05:00
matlabbe
264146d8b3 OdomF2M: added Odom/KeyFrameThr=0.5 and OdomF2M/MaxNewFeatures=0 parameters. Set Odom/GuessMotion to false by default. 2016-03-01 20:47:46 -05:00
matlabbe
b6fb947310 3D->3D estimation refining: using 3x sqrt(variance) instead of sqrt(9x variance). GUI: added features cloud rendering option. CloudViewer: fixed slow updateCameraTargetPosition() 2016-03-01 17:33:27 -05:00
matlabbe
a89b8cb4fe Removed parameters Vis/UseDepthAsMask and Mem/UseDepthAsMask (just always do it when a depth is detected) 2016-03-01 14:40:40 -05:00
matlabbe
1f999c4d28 Explicitly show licenses of optional dependencies on CMake 2016-03-01 14:25:00 -05:00
matlabbe
e6e9c61c38 RegistraitonVis: generate always 3D keypoints if possible 2016-02-29 16:41:37 -05:00
matlabbe
6d06b66496 Updated how odometry guess is done (adapt to time between timestamps) and Kalman filtering (using velocity) 2016-02-27 18:30:00 -05:00
matlabbe
a8d1b91083 OdometryF2F: Fixed broken OpticalFlow approach 2016-02-24 17:42:23 -05:00
matlabbe
172e9857c7 Fixed RegistrationVis feature matching behavior when NaN 3D keypoints are found 2016-02-24 12:45:00 -05:00
matlabbe
061211b1b6 OodmetryF2M: Added getter to last frame 2016-02-23 11:46:07 -05:00
matlabbe
9e446aab7a Fixed some signed/unsigned comparison warnings 2016-02-23 11:06:24 -05:00
matlabbe
af37b4b746 Disabled FAST parameters OpenCV2 related parameters in OpenCV3 2016-02-22 18:22:49 -05:00
matlabbe
d7ef170d33 Added parameter "Mem/UseOdometryFeatures=false" to use directly features already extracted from odometry for the vocabulary (issue #32) 2016-02-22 17:57:40 -05:00
matlabbe
ccc4b4a6c2 Parameters renamed: "OdomLocalMap" group is now "OdomF2M" for Frame to Map odometry. Visual registration feature matching: using guess transform to limit the radius of correspondences "Vis/CorGuessWinSize=16" 2016-02-22 16:13:14 -05:00
matlabbe
0d68f74d80 Fixed calibration/laser not saved when compressed images are not saved to db 2016-02-19 21:05:14 -05:00
matlabbe
081be68616 Depth16 set invalid for values = 65535 2016-02-19 18:10:32 -05:00
matlabbe
9b16d93481 Fixed broken 2D icp from 0.11.0 2016-02-19 15:10:28 -05:00
matlabbe
d5538ee99d DB: loading calibration when reactivating signatures (for PnP registration without reloading compressed data) 2016-02-18 18:25:26 -05:00
matlabbe
e999885f33 Fixed build error when GTSAM is not detected 2016-02-18 16:26:39 -05:00
matlabbe
62c7be9f35 Fixed odometry mesh with long edges, Optimizer/Robust is not set false because of some "solution not found" from g2o or gtsam 2016-02-18 15:23:25 -05:00
matlabbe
04d153df59 Fixed export RGB-D SLAM format 2016-02-18 14:49:56 -05:00
matlabbe
829b52db7c Added reset settings for calibration dialog 2016-02-18 14:12:12 -05:00
matlabbe
6b8ab84ba0 Intermediate node fixes for ProximityTime and detecting more loop closures in the GUI 2016-02-18 12:52:15 -05:00
matlabbe
c1c62b0738 Creating a new map when variance >= 9999 is detected 2016-02-18 11:17:42 -05:00
matlabbe
b09429c5d8 minor change 2016-02-17 18:30:35 -05:00
matlabbe
0a913a9cd4 Fixed segmentObstaclesFromGround() build error 2016-02-17 16:01:14 -05:00
matlabbe
c6a46a7238 0.11.2: First Google Tango release 2016-02-15 19:35:24 -05:00
matlabbe
8dc01c491b Renamed uresourcegenerator tool to rtabmap-res_tool 2016-01-23 17:04:30 -05:00
matlabbe
c20bebd3f0 Fixed build with PCL+OpenNI 2016-01-23 16:29:21 -05:00
matlabbe
874816b679 Updated cmake for ARM/Android build 2016-01-21 17:11:57 -05:00
matlabbe
c367fe915e Added ground truth support of Karlsruhe dataset 2016-01-19 21:53:45 -05:00
matlabbe
eb21280f04 Changed CameraModel::isValid() to CameraModel::isValidForProjection() for clarity (in contrast to CameraModel::isValidForRectification()) 2016-01-19 21:01:56 -05:00
matlabbe
d162fcf34e Fixed a warning... 2016-01-19 18:27:58 -05:00
matlabbe
95d21a55f1 fixed build on Wisual Studio+OpenCV2 2016-01-19 18:18:53 -05:00
matlabbe
7bfd76e747 -Updated CameraModel and StereoCameraModel so that a stereo camera model can be initialization from know intrinsics and extrinsics
-CreateSimpleCalibrationDialog updated to create mono/stereo calibration files with advanced option (setting intrinsics of each camera + extrinsics between them). Rectification R and new camera P matrices are then automatically computed.
-Added GeodeticCoords class for convience conversion between GPS values (latitude/longitude/altitude) to local coordinate (ENU).
-Added support of Malaga Urban and St Lucia ground truths.
-CameraImages: added option to debayer images. Timestamps file: added support of "sec millisec" format.
-Added UException class: exceptions are sent instead of exiting the application on UASSERT or UFATAL.
2016-01-19 17:43:33 -05:00
matlabbe
72e66605e4 Quiet find package cvsba 2016-01-17 16:01:03 -05:00
matlabbe
89ee7c9664 uIsInteger(): Added checkForSign option (default true) 2016-01-15 17:15:12 -05:00
matlabbe
35b722ba08 Added Ground truth import GPS format. Alignement between estimated and ground truth poses is done with SVD. 2016-01-15 17:05:55 -05:00
matlabbe
2d6965aa4b Fixed build with g2o on Windows 2016-01-14 17:07:01 -05:00
matlabbe
444879ffc6 Added ToolTip with color code to loop closure and odometry views 2016-01-14 15:46:54 -05:00
matlabbe
1010f6acff Fixed GraphView re-scaled when ground truth is null. PreferencesDialog: fixed a bug where some parameters were wrongly modified by default values in the *.ui (blocking signals when setParameter() is called to avoid addParameter() to be called) 2016-01-14 15:30:52 -05:00
matlabbe
2ae1b84f85 Fixed not optimized map from first node if we switch RGBD/OptimizeFromGraphEnd parameter on and off while mapping. 2016-01-14 12:44:18 -05:00
matlabbe
6cc511cb80 RtabmapThread: using stamps in odometry messages to throttle detection rate (if stamps are not set, system time is used) 2016-01-14 11:37:39 -05:00
matlabbe
dc2746a365 CameraImages: Added synchronization of captrue time with timestamps 2016-01-13 18:13:44 -05:00
matlabbe
f68203f529 Updated timestamps from filenames parsing 2016-01-13 16:28:22 -05:00
matlabbe
2429910188 fixed build (OdometryViewer tool) 2016-01-13 12:57:12 -05:00
matlabbe
78f47ac619 Updated some parameter group names: OdomBow->OdomLocalMap, OdomFlow->OdomF2F 2016-01-13 12:55:51 -05:00
matlabbe
3293906677 Updated default parameters: GFTT/MinDistance=5 pixels, GFTT/QualityLevel=0.001 Vis/PnPReprojError=2 pixels 2016-01-13 11:53:55 -05:00
matlabbe
136867253d Added "Vis/UseDepthAsMask" parameter (don't detect features where depth is not available or it is over "Vis/MaxDepth") 2016-01-13 09:20:15 -05:00
matlabbe
f6924ba48b Fixed OdometryLocalMap fatal error if new frame has no feature 2016-01-12 17:52:54 -05:00
matlabbe
90525b75a9 Synchronized "Edit database" parameters with tmp ini file used in Main app 2016-01-12 17:07:38 -05:00
matlabbe
6928f09c87 Fixed database version=0.10.0 backward compatibility for DBDriverSqlite3::get***MemoryUsedQuery() 2016-01-12 16:43:41 -05:00
matlabbe
b505b4519a PreferencesDialog: _parameters and _modifiedParameters are now private 2016-01-12 15:41:55 -05:00
matlabbe
9a0a1fbcbe MainWindow: Fixed working directory warning in monitoring mode. 2016-01-12 15:06:52 -05:00
matlabbe
f10c415e48 Updated panels order in Preferences dialog. MainWindow: Removed working directory warning in monitoring mode. 2016-01-12 14:54:20 -05:00
matlabbe
a7387d51de MainWindow: avoiding PreferencesDialog::getAllParameters() in constructor (rtabmapviz issue) 2016-01-12 13:54:37 -05:00
matlabbe
c1a5fecbc2 Updated default "Icp/Epsilon" to 1 mm 2016-01-12 12:29:10 -05:00
matlabbe
f39646567a Fixed build error in CameraRGB with OpenCV<3 2016-01-12 12:25:23 -05:00
matlabbe
5136b38111 MacOSX: (g2o) Fixed cholmod library not found. New ICP parameter: "Icp/Epsilon". Fixed null ICP_inliers_ratio with odometry statistics. 2016-01-12 11:37:50 -05:00
matlabbe
42e1590abe Added util3d::projectCloudToCamera() method (creating a registered depth image from the laser scan), used for "Generate depth from scan" option of CameraImages 2016-01-11 17:21:06 -05:00
matlabbe
94adc6fa1b DbViewer: added ground truth coordinate (when available) in constraints view 2016-01-10 13:07:42 -05:00
matlabbe
182fe5f1d2 DbViewer: fixed reversed "Generate laser scan from depth" option 2016-01-10 12:57:49 -05:00
matlabbe
75f85f6b2a Added new options to filter source laser scans.
SensorData can support laser scans CV_32FC6 format (point cloud with normals). Refactored RegistrationICP and updated CloudViewer to show PointNormal data.
Fixed bug with stereo clouds deterioration if decimation is set (CameraModel::scale()).
2016-01-08 19:15:49 -05:00
matlabbe
e7565db5d0 0.11.1: Added "ground_truth_pose" field to database in Node table. MainWindow: alignment of the map to ground truth (if ground truth is present). 2016-01-07 19:39:21 -05:00
matlabbe
b8c9f32fd8 MainWindow: added "Edit->Anchor clouds to ground truth" action. Graph::importPoses() Fixed error when loading RGBD-SLAM poses. 2016-01-07 15:48:18 -05:00
matlabbe
78b37a4b0d Fixed RGBDImages paths not shown in Preferences 2016-01-07 14:47:32 -05:00
matlabbe
6d399b6fb9 Refactoring Odometry 2016-01-07 13:59:21 -05:00
matlabbe
923ba78bfa Updated Odometry documentation in Preferences dialog 2016-01-06 17:53:40 -05:00
matlabbe
28d9bbb85d Refactoring Registration: added RegistrationInfo class, pipeline registration. Camera source: create laser scan from depth image. Removed OdometryICP as the same behavior can be achieved with OdometryF2F and "Reg/Strategy" = 1 (ICP) or 2 (Vis+ICP). 2016-01-06 17:26:55 -05:00
matlabbe
1c66ad1db2 MainWindow: config file is cleared before saving settings (to avoid keeping old parameters in the ini file that would trigger a "parameter migration" at each startup) 2016-01-05 16:57:13 -05:00
matlabbe
c064e373e9 Merge branch '0.11.0' of github.com:introlab/rtabmap into 0.11.0 2016-01-05 16:37:27 -05:00
matlabbe
703b7181d9 Refactoring: Split Odometry classes in multiple headers. Added Odometry::create(type) for convenience, working with "Odom/Strategy" parameter. Renamed OdometryBOW to OdometryLocalMap (more descriptive name). 2016-01-05 16:37:14 -05:00
matlabbe
389d29ebf5 fixed Ubuntu build 2016-01-05 15:44:34 -05:00
matlabbe
2108f449b3 fixed Windows build 2016-01-05 15:29:29 -05:00
matlabbe
1b2f1baf3d Fixed wrong type of RegistrationVis::_PnPrefineIterations member 2016-01-05 15:12:08 -05:00
matlabbe
97dd9bb7d5 Added printThreadId option in ULogger 2016-01-05 13:55:21 -05:00
matlabbe
bf2bd3fe50 Added version to CMake info. Fixed build WITH_CVSBA. 2016-01-04 16:33:34 -05:00
matlabbe
a403a5b7d8 Fixed rectify flag not reset in CameraStereoImages::init() 2016-01-04 12:45:20 -05:00
matlabbe
72101a6d46 Modified default "Stereo/MinDisparity" to 1 2016-01-04 12:17:02 -05:00
matlabbe
9b6d662aaf Rtabmap::parseParameters(): Re-using old parameters (if not updated) when graph optimization approach is re-created. 2016-01-04 11:48:48 -05:00
matlabbe
b578fc732e Fixed Stereo parameters not used for OdometryBOW. Saving parameters in Memory and Feature2D to re-use old parameters when underlaying algorithm strategies are re-created. 2016-01-04 11:41:13 -05:00
matlabbe
51300dde06 Fixed PnP in OpenCV3: added parameter Vis/PnPRefineIterations (default 1)
CameraRGBDImages: Fixed calibration not loaded
Fixed loading ground truth from RGBD-SLAM format
MainWindow: added ground truth paths in CloudViewer and GraphViewer
2015-12-22 19:32:52 -05:00
matlabbe
2e9634cf65 Refactoring: removed some code duplication about transformation estimation and features (2D-3D) extraction.
Added Feature2D::generateKeypoints3D() for convenience.
Added parameter "Vis/PnPOpenCV2".
Added parameter "Vis/ForwardEstOnly".
Removed OdometryOpticalFlow class, replaced by OdometryF2F (frame-to-frame). To get the same previous OpticalFLow approach, parameter "Vis/CorType" should be set to 1.
Some parameters under group "OdomFlow/..." are now under "Vis/CorFlow...".
In Registration class, add computeTransformationMod() method to modify input signatures.
Added constructor Signature(SensorData) for convenience.
Modified words multimap used with cv::Point3f instead of pcl::PointXYZ to limit the use of PCL headers where they are not really required.
Added Stereo::create() for convenience.
Transform: fixed quaternion constructor where data_ was not initialized. Added parentheses operator for convenience.
DatabaseViewer: loading .rtabmap/rtabmap.ini instead of .rtabmap/dbViewer.ini when used from rtabmap application. Added vertical layout option for convenience.
MainWindow: fixed wrong Odometry speed values
ParametersToolBox: using QStackedWidget instead of a QToolBox for space, added "Restore Defaults" button.
2015-12-21 17:27:05 -05:00
matlabbe
3292fb1146 Refactoring of the cameraStereoImages and cameraRGBDImages classes (now inheriting from CameraImages) for easy setting of laser scan path, timestamps path and ground truth path.
Added graph::importPoses().
Can now have a ground truth published with SensorData (filled optionally by CameraImages classes).
Increased database closing time performance when the database is not saved.
Added ParametersToolBox widget in DatabaseViewer for core parameters (refactoring done to make easy access to all rtabmap parameters in DatabaseViewer).
Added Parameters::getType(key).
Added Transform::interpolate() to interpolate between two transforms (SLERP)
Updated pf_filter.m and added test_pf_filter.m MATLAB scripts (making easier to compare with a ground truth)
UPlot: can now save all curve data of a figure in one action (see right-click on legend area->"Copy all curve data to clipboard")
2015-12-17 14:13:19 -05:00
matlabbe
f5c062448d Odometry: Added Kalman Filtering option 2015-12-14 16:50:17 -05:00
matlabbe
82d76f3e99 Merge branch 'master' of https://github.com/introlab/rtabmap into 0.11.0 2015-12-11 17:44:36 -05:00
matlabbe
9cc94ce1e6 Added Stereo and StereoDense base classes (with Stereo->StereoOpticalFlow and StereoDense->StereoBM) to handle easily stereo parameters. Added stereoEval tool to test Stereo/OpticalFlow=false or true. Added StereoBM parameters. Refactoring of the Preferences dialog (tree view order and some titles) 2015-12-11 17:44:15 -05:00
matlabbe
c769f85523 Merge branch 'bckim92-master' 2015-12-08 14:33:50 -05:00
matlabbe
21bd206af7 Cleanup the code and updated error message about device not found (when rtabmap is linked to wrong libusb library) 2015-12-08 14:28:26 -05:00
matlabbe
8b2080df44 Merge branch 'master' of https://github.com/bckim92/rtabmap into bckim92-master 2015-12-08 13:47:49 -05:00
matlabbe
6c452137b2 Fixed wrongly yaw reset instead of pitch when resetting odometry to a pose with Force2D enabled 2015-12-07 10:19:08 -05:00
Kim ByeongChang
f5451ac13f Use new libfreenect2 API 2015-12-07 17:07:10 +09:00
Kim ByeongChang
3c45f2ba7d Use new libfreenect2 API 2015-12-07 16:02:22 +09:00
matlabbe
818eda005f merged master to 0.11.0 2015-12-02 11:55:46 -05:00
matlabbe
676cd8cbd9 Enabled Source menu on Idle. Fixed calibration file with only the name not found. DBViewer: added max stereo features parameter under Stereo tab. 2015-12-02 11:48:07 -05:00
matlabbe
60f34fe994 Rejecting last loop closures if optimization fails. Fixed _lastLocalizationNodeId not found in optimized poses in Localization mode. 2015-12-01 14:51:26 -05:00
matlabbe
4d97ba80d6 Don't trigger new map in localization mode when identity odom is detected 2015-12-01 12:34:34 -05:00
matlabbe
4e9ba66555 Ubuntu 12.04 an g2o, fixed -std=c++11 error 2015-12-01 11:51:59 -05:00
matlabbe
535cbbac5a fixed double warnings "Camera has no more images" 2015-11-30 19:59:35 -05:00
matlabbe
fc47d07b85 merged master to 0.11.0 2015-11-30 19:39:05 -05:00
matlabbe
e58f907440 Added CameraInfo class (added Camera tab in Statistics panel). Scans/userData are not saved anymore when Mem/BinDataKept=false. StereoACameraImages: Fixed error when scan path is not set. Refactoring of OdometryOpticalFlow class to provide variance when 3D->2D estimation is used. 2015-11-30 18:49:28 -05:00
matlabbe
d9c9db934a Commented some debug clouds in RegistrationIcp 2015-11-30 11:26:21 -05:00
matlabbe
38fd459c7b Merge branch 'master' of github.com:introlab/rtabmap 2015-11-29 16:20:21 -05:00
matlabbe
a16899a829 MainWindow: Updated feedback message when sending a goal fails 2015-11-29 16:20:04 -05:00
matlabbe
f2d6ff6748 Fixed signatures not saved after switching online from Mapping to Localization mode 2015-11-27 17:59:38 -05:00
matlabbe
2945abde9c DatabaseViewer: fixed "Graph not created" error when clicking on export map/graph actions 2015-11-27 15:36:57 -05:00
matlabbe
69a04121a3 Added Mem/MapLabelsAdded parameter (default true) 2015-11-27 14:57:29 -05:00
matlabbe
096684ed94 Neighbor link refining: set small variance if small displacement and variance=1 2015-11-27 13:04:01 -05:00
matlabbe
7d35906398 Refactoring: Split all graph optimization approaches in multiple files 2015-11-27 11:09:39 -05:00
matlabbe
93326ab1fe Refactoring: changed Statistics name "OdometryCorrection" to "NeighborLinkRefining" 2015-11-26 16:22:46 -05:00
matlabbe
148504dabd Fixed Memory::computeScanMatchingTransform() (now named computeIcpTransformMulti()) 2015-11-26 16:03:03 -05:00
matlabbe
991a603648 Added util3d::laserScan2dFromPointCloud() 2015-11-26 14:34:06 -05:00
matlabbe
ba6733411a merged master to velodyne 2015-11-26 13:37:37 -05:00
matlabbe
7d521819f0 moved Rtabmap::[read,write]Parameters() and getVersion() to Parameters class (readINI(), writeINI() and getVersion()). Added Parameters::getDefaultOdometryParameters() and Parameters::isFeatureParameter() for convenience. 2015-11-26 13:16:01 -05:00
matlabbe
ee81bfc1d7 Removed warning/error when odometry cloud is empty 2015-11-26 10:42:58 -05:00
matlabbe
63c96f39a3 Added GridAdaptor for FAST feature (issue #43). Fixed RegistrationVis feature parameters not set. Added FAST_ORB feature type. 2015-11-25 19:56:14 -05:00
matlabbe
3e5e4dfe32 0.10.12 2015-11-25 15:51:16 -05:00
matlabbe
cd39a8c027 0.10.12: Added rtabmap::getLastLocalizationPose() method (to get last corrected pose either in mapping or localization mode) 2015-11-25 15:45:27 -05:00
matlabbe
da1129cf79 Refactoring of some parameters (LocalLoopDetection* to Proximity*) and variables in code 2015-11-25 12:15:41 -05:00
matlabbe
56383d4cfb Merged master to velodyne 2015-11-22 18:15:33 -05:00
matlabbe
ae9f21acd7 Version 0.11.0: Refactored Visual/ICP transformation estimation approaches, Added Registration classes for convenience, Added Parameters migration approach, 3D laser scans can be used 2015-11-22 18:08:32 -05:00
matlabbe
10d683a38e Graph optimization: fixed stop error criterion for g2o and gtsam, previous optimized poses are now used as guess for the optimized graph 2015-11-18 19:40:46 -05:00
matlabbe
1e5bcfded8 GFTT: updated MinDistance=10 default 2015-11-12 11:17:26 -05:00
matlabbe
d1eec16222 Added GFTT+ORB detector type 2015-11-11 12:08:20 -05:00
matlabbe
0dedc62ce8 Disabled local loop detection on intermediate nodes 2015-11-09 11:46:30 -05:00
matlabbe
798eb2330b Updated default badSignThr parameter 2015-11-06 14:46:35 -05:00
matlabbe
e8bea5cba3 Fixed sqlite3 warnings 2015-11-06 14:10:45 -05:00
matlabbe
58190d5422 Added more Freenect2 options 2015-11-04 18:31:52 -05:00
matlabbe
2ee9183c17 Updated CameraFreenect2 with latest freenect2 library (commit cdeb07917c) 2015-11-03 17:31:07 -05:00
matlabbe
620ce51f70 Fixed warnings on Windows 2015-11-03 12:49:03 -05:00
matlabbe
dc20327a18 GraphView: added Maximum link length option 2015-10-29 09:53:35 -04:00
matlabbe
47d98b2912 GUI: GFTT quality min is now 0.0001, fixed fatal error when LocalLoopDetectionSpace=True and not RGB-D SLAM mode 2015-10-28 18:48:17 -04:00
matlabbe
f561a59a09 DBDriver: added ignoreBadSignatures param to getAllNodeIds() 2015-10-28 16:50:18 -04:00
matlabbe
f97dd2b05b typo... 2015-10-27 15:56:46 -04:00
matlabbe
c884781741 DBViewer: added total time info 2015-10-27 13:39:29 -04:00
matlabbe
8fa7b73aea DBViewer: fixed some missing links/poses. GraphViewer: fixed global path color context menu action, now small links are ignored 2015-10-26 17:52:02 -04:00
matlabbe
02ebb3c7e8 Some fixes:
-Memory: Fixed wrongly rejected scan matching transform because of too large correction
-DBViewer: Fixed not shown proximity scans
-DBDriver: Fixed not loaded links' user_data on getAllLinks() method
-MainWindow: Added planning statistics
-DBReader: set a maximum of 10 sec sleep if the map ID has changed
2015-10-26 12:59:20 -04:00
matlabbe
463a5d973c Update version 0.10.11:
-Added parameter "Mem/ReduceGraph" with new link type (NeighborMerged)
-DatabaseViewer: add Info panel, fixed empty extracted database when "RGB images" is not checked
-ConsoleWidget: added buffer size and refresh rate options
-DBDriver: new database info getters
-Graph: added reduceGraph() method, added Dijsktra computePath() with links only
-Updated default parameters: RGBD/LocalLoopDetectionSpace=true, RGBD/LinearUpdate=0.1 and RGBD/AngularUpdate=0.1
-Goals are saved with label instead of ID if the target node has a label
-DataRecorder: fixed saving incrementally the database (instead of only at the end)
-MainWindow: When waypoints are used, resend the current goal (1 sec delay) if it has failed setting it
2015-10-24 17:03:44 -04:00
matlabbe
957498b5a3 💄 2015-10-21 10:33:35 -04:00
matlabbe
c15d9f3fe9 MainWindow/3d Rendering: Updated default Map max depth to 0.0 m 2015-10-21 09:27:25 -04:00
Mathieu Labbé
38b3e6c337 CloudViewer: fixed an iterator comparison error 2015-10-18 18:35:28 -04:00
Mathieu Labbé
2953217c2c fixed windows build errors 2015-10-17 16:36:34 -04:00
matlabbe
b0629d626e Merge branch 'master' of github.com:introlab/rtabmap into jade-devel 2015-10-17 14:16:14 -04:00
matlabbe
ec09d69145 jade package: libfreenect -> libfreenect-dev 2015-08-04 15:52:13 -04:00
matlabbe
8ddbc6bf96 Merge branch 'master' of https://github.com/introlab/rtabmap into jade-devel 2015-05-12 08:37:38 -04:00
matlabbe
b608e50296 Merge branch 'master' of https://github.com/introlab/rtabmap into jade-devel 2015-05-12 08:29:41 -04:00
matlabbe
7fa791992c Jade branch: changed libfreenect to libfreenect-dev ROS dependency (run-depend) 2015-05-10 21:22:59 -04:00
matlabbe
fae21132ee Jade branch: changed libfreenect to libfreenect-dev ROS dependency 2015-05-10 21:13:52 -04:00
1051 changed files with 264131 additions and 35430 deletions

149
.appveyor.yml Normal file
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@@ -0,0 +1,149 @@
branches:
only:
- master
- devel
os: Visual Studio 2015
clone_folder: c:\projects\rtabmap
platform: x64
configuration: Release
init:
- cmake --version
- call "C:\Program Files\Microsoft SDKs\Windows\v7.1\Bin\SetEnv.cmd" /x64
- call "C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\vcvarsall.bat" x86_amd64
install:
# Qt
- set QTDIR=C:\Qt\5.10.1\msvc2015_64
# make sure Qt bin path is before cmake bin path to avoid copying qt5 dlls from cmake before qt installation
- set PATH=%QTDIR%\bin;%PATH%
# Boost
- set PATH=%PATH%;C:\Libraries\boost_1_62_0\lib64-msvc-14.0
# Openni2
- ps: wget 'https://dl.dropboxusercontent.com/s/d98jv79l6oy9fxz/OpenNI2.exe?dl=0' -outfile OpenNI2.exe
- cmd: OpenNI2.exe -o"C:\Program Files" -y
- ECHO "Installed OpenNI2:"
- ps: "ls \"C:/Program Files/OpenNI2\""
- set PATH=%PATH%;C:\Program Files\OpenNI2\Redist
- set OPENNI2_INCLUDE64=C:\Program Files\OpenNI2\Include
- set OPENNI2_LIB64=C:\Program Files\OpenNI2\Lib
- set OPENNI2_REDIST64=C:\Program Files\OpenNI2\Redist
# OpenCV
#- appveyor-retry appveyor DownloadFile http://downloads.sourceforge.net/project/opencvlibrary/4.5.2/opencv-4.5.2-vc14_vc15.exe
#- cmd: opencv-4.5.2-vc14_vc15.exe -o"C:\Program Files" -y
#- ECHO "Installed OpenCV:"
#- ps: "ls \"C:/Program Files/opencv/build\""
#- set PATH=%PATH%;C:\Program Files\opencv\build\x64\vc14\bin
- ps: wget 'https://dl.dropboxusercontent.com/s/o6ofn491bc0jso1/opencv450_vc14.exe?dl=0' -outfile opencv.exe
- cmd: opencv.exe -o"C:\Program Files" -y
- ECHO "Installed OpenCV:"
- ps: "ls \"C:/Program Files/opencv\""
- set PATH=%PATH%;C:\Program Files\opencv\x64\vc14\bin
# VTK (including QVTK)
- ps: wget 'https://dl.dropboxusercontent.com/s/1l33b5l3f3y52gf/VTK-6_3-msvc140.exe?dl=0' -outfile VTK-6_3.exe
- cmd: VTK-6_3.exe -o"C:\Program Files" -y
- ECHO "Installed VTK:"
- ps: "ls \"C:/Program Files/VTK\""
- set PATH=%PATH%;C:\Program Files\VTK\bin
# QHull
- ps: wget 'https://dl.dropboxusercontent.com/s/9widnk9msdsh2b8/Qhull-msvc140.exe?dl=0' -outfile Qhull.exe
- cmd: Qhull.exe -o"C:\Program Files" -y
- ECHO "Installed QHull:"
- ps: "ls \"C:/Program Files/Qhull\""
- set PATH=%PATH%;C:\Program Files\Qhull\bin
# FLANN
- ps: wget 'https://dl.dropboxusercontent.com/s/7k58jbmqa51sxmh/FLANN-msvc140.exe?dl=0' -outfile FLANN.exe
- cmd: FLANN.exe -o"C:\Program Files" -y
- ECHO "Installed FLANN:"
- ps: "ls \"C:/Program Files/FLANN\""
- set PATH=%PATH%;C:\Program Files\FLANN\bin
# Eigen
- ps: wget 'https://dl.dropboxusercontent.com/s/3v6i9i8dxj4o8ji/Eigen.exe?dl=0' -outfile Eigen.exe
- cmd: Eigen.exe -o"C:\Program Files" -y
- ECHO "Installed Eigen:"
- ps: "ls \"C:/Program Files/Eigen\""
# PCL
- ps: wget 'https://dl.dropboxusercontent.com/s/2iayr4lyqa50i9j/PCL_181_August2018_x64_vc14.exe?dl=0' -outfile PCL_1.8.1.exe
- cmd: PCL_1.8.1.exe -o"C:\Program Files" -y
- ECHO "Installed PCL:"
- ps: "ls \"C:/Program Files/PCL\""
- set PATH=%PATH%;C:\Program Files\PCL\bin
# zlib
- ps: wget 'https://docs.google.com/uc?authuser=0&id=0B46akLGdg-uaYm9MTTI4MUtUcmc&export=download' -outfile zlib-1.2.8-vc2010-x64.zip
- ps: Expand-Archive zlib-1.2.8-vc2010-x64.zip -DestinationPath 'C:\Program Files'
- ECHO "Installed zlib:"
- ps: "ls \"C:/Program Files/zlib\""
- set PATH=%PATH%;C:\Program Files\zlib\bin
# g2o
- ps: wget 'https://dl.dropboxusercontent.com/s/ht74s5pa21wokzw/g2o.exe?dl=0' -outfile g2o.exe
- cmd: g2o.exe -o"C:\Program Files" -y
- ECHO "Installed g2o:"
- ps: "ls \"C:/Program Files/g2o\""
- set PATH=%PATH%;C:\Program Files\g2o\bin
# GTSAM
- ps: wget 'https://dl.dropboxusercontent.com/s/0fpr6r4cgsqmvhf/GTSAM-4_0_0_alpha2-msvc140.exe?dl=0' -outfile GTSAM.exe
- cmd: GTSAM.exe -o"C:\Program Files" -y
- ECHO "Installed GTSAM:"
- ps: "ls \"C:/Program Files/GTSAM\""
- set PATH=%PATH%;C:\Program Files\GTSAM\bin
# OctoMap
- ps: wget 'https://dl.dropboxusercontent.com/s/6jpxu0nm8ne6e54/octomap_x64_vc14.exe?dl=0' -outfile octomap.exe
- cmd: octomap.exe -o"C:\Program Files" -y
- ECHO "Installed OctoMap:"
- ps: "ls \"C:/Program Files/octomap-distribution\""
- set PATH=%PATH%;C:\Program Files\octomap-distribution\bin
# CPU-TSDF
- ps: wget 'https://dl.dropboxusercontent.com/s/mgges9va1uzxr0q/cpu_tsdf_sept2015_x64_vc14.exe?dl=0' -outfile cpu_tsdf.exe
- cmd: cpu_tsdf.exe -o"C:\Program Files" -y
- ECHO "Installed CPU-TSDF:"
- ps: "ls \"C:/Program Files/cpu_tsdf\""
- set PATH=%PATH%;C:\Program Files\cpu_tsdf\bin
# Open Chisel
- ps: wget 'https://dl.dropboxusercontent.com/s/0aaphcde4acrinm/open_chisel_x64_vc14.exe?dl=0' -outfile open_chisel.exe
- cmd: open_chisel.exe -o"C:\Program Files" -y
- ECHO "Installed Open Chisel:"
- ps: "ls \"C:/Program Files/open_chisel\""
- set PATH=%PATH%;C:\Program Files\open_chisel\bin
# yaml-cpp
- ps: wget 'https://dl.dropboxusercontent.com/s/22qfvftwj6zq8tj/yaml-cpp_x64_vc14.exe?dl=0' -outfile yaml-cpp.exe
- cmd: yaml-cpp.exe -o"C:\Program Files" -y
- ECHO "Installed yaml-cpp:"
- ps: "ls \"C:/Program Files/yaml-cpp\""
# RealSense2
- ps: wget 'https://github.com/IntelRealSense/librealsense/releases/download/v2.40.0/Intel.RealSense.SDK-WIN10-2.40.0.2482.exe' -outfile realsense2.exe
- cmd: realsense2.exe /VERYSILENT
- ECHO "Installed RealSense2:"
- ps: "ls \"C:/Program Files (x86)/Intel RealSense SDK 2.0\""
- set PATH=%PATH%;C:\Program Files (x86)\Intel RealSense SDK 2.0\bin\x64
- set RealSense2_ROOT_DIR=C:\Program Files (x86)\Intel RealSense SDK 2.0
# Kinect 4 Azure
- ps: wget 'https://download.microsoft.com/download/3/d/6/3d6d9e99-a251-4cf3-8c6a-8e108e960b4b/Azure%20Kinect%20SDK%201.4.1.exe' -outfile azure.exe
- cmd: azure.exe /quiet
- ECHO "Installed Kinect For Azure:"
- ps: "ls \"C:/Program Files/Azure Kinect SDK v1.4.1\""
- set PATH=%PATH%;C:\Program Files\Azure Kinect SDK v1.4.1\tools
- set K4A_ROOT_DIR=C:\Program Files\Azure Kinect SDK v1.4.1
before_build:
- cd c:\projects\rtabmap\build
- ECHO %PROGRAMFILES%
- ECHO %PATH%
- cmake -G "Visual Studio 14 2015 Win64" -DOpenCV_DIR="C:\Program Files\opencv\build" -DPCL_DIR="C:\Program Files\PCL\cmake" -DCPUTSDF_DIR="C:\Program Files\cpu_tsdf\share\cpu_tsdf" -Dyaml-cpp_DIR="C:\Program Files\yaml-cpp\CMake" -DBUILD_AS_BUNDLE=ON ..
after_build :
- cmake --build . --config Release --target package
artifacts:
- path: build\RTABMap-*
notifications:
- provider: Email
to:
- matlabbe@gmail.com
on_build_success: false
on_build_failure: false
on_build_status_changed: true

65
.github/workflows/cmake.yml vendored Normal file
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@@ -0,0 +1,65 @@
name: CMake
on:
push:
branches: [ master ]
pull_request:
branches: [ master ]
env:
# Customize the CMake build type here (Release, Debug, RelWithDebInfo, etc.)
BUILD_TYPE: Release
jobs:
build:
# The CMake configure and build commands are platform agnostic and should work equally
# well on Windows or Mac. You can convert this to a matrix build if you need
# cross-platform coverage.
# See: https://docs.github.com/en/free-pro-team@latest/actions/learn-github-actions/managing-complex-workflows#using-a-build-matrix
name: Build on ros ${{ matrix.ros_distro }} and ${{ matrix.os }}
runs-on: ${{ matrix.os }}
strategy:
matrix:
os: [ubuntu-20.04, ubuntu-18.04]
include:
- os: ubuntu-20.04
ros_distro: 'noetic'
- os: ubuntu-18.04
ros_distro: 'melodic'
steps:
- uses: ros-tooling/setup-ros@v0.2
with:
required-ros-distributions: ${{ matrix.ros_distro }}
- name: Install dependencies
run: |
sudo apt-get update
sudo apt-get -y install ros-${{ matrix.ros_distro }}-rtabmap-ros
sudo apt-get -y remove ros-${{ matrix.ros_distro }}-rtabmap
- uses: actions/checkout@v2
- name: Configure CMake
# Configure CMake in a 'build' subdirectory. `CMAKE_BUILD_TYPE` is only required if you are using a single-configuration generator such as make.
# See https://cmake.org/cmake/help/latest/variable/CMAKE_BUILD_TYPE.html?highlight=cmake_build_type
run: |
source /opt/ros/${{ matrix.ros_distro }}/setup.bash
cmake -B ${{github.workspace}}/build -DCMAKE_BUILD_TYPE=${{env.BUILD_TYPE}}
- name: Build
# Build your program with the given configuration
run: cmake --build ${{github.workspace}}/build --config ${{env.BUILD_TYPE}}
- name: Info
working-directory: ${{github.workspace}}/bin
run: |
source /opt/ros/${{ matrix.ros_distro }}/setup.bash
./rtabmap-console --version
# - name: Test
# working-directory: ${{github.workspace}}/build
# # Execute tests defined by the CMake configuration.
# # See https://cmake.org/cmake/help/latest/manual/ctest.1.html for more detail
# run: ctest -C ${{env.BUILD_TYPE}}

70
.github/workflows/docker.yml vendored Normal file
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@@ -0,0 +1,70 @@
name: docker
on:
push:
branches:
- 'master'
jobs:
docker:
runs-on: ubuntu-latest
strategy:
matrix:
docker_tag: [xenial, bionic, focal, android23, android24, android26]
include:
- docker_tag: xenial
docker_tags: |
introlab3it/rtabmap:xenial
introlab3it/rtabmap:16.04
docker_path: 'xenial'
- docker_tag: bionic
docker_tags: |
introlab3it/rtabmap:bionic
introlab3it/rtabmap:18.04
docker_path: 'bionic'
- docker_tag: focal
docker_tags: |
introlab3it/rtabmap:focal
introlab3it/rtabmap:20.04
introlab3it/rtabmap:latest
docker_path: 'focal'
- docker_tag: android23
docker_tags: |
introlab3it/rtabmap:android23
introlab3it/rtabmap:tango
docker_path: 'bionic/android/rtabmap_api23'
- docker_tag: android24
docker_tags: |
introlab3it/rtabmap:android24
docker_path: 'bionic/android/rtabmap_api24'
- docker_tag: android26
docker_tags: |
introlab3it/rtabmap:android26
docker_path: 'bionic/android/rtabmap_api26'
steps:
-
name: Checkout
uses: actions/checkout@v2
-
name: Set up Docker Buildx
uses: docker/setup-buildx-action@v1
-
name: Login to DockerHub
uses: docker/login-action@v1
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
-
name: Build and push
uses: docker/build-push-action@v2
with:
context: ./docker/${{ matrix.docker_path }}
push: true
build-args: |
CACHE_DATE=${{ github.head_ref }}.${{ github.sha }}
tags: ${{ matrix.docker_tags }}
cache-from: type=registry,ref=introlab3it/rtabmap:${{ matrix.docker_tag }}
cache-to: type=inline

12
.gitignore vendored Normal file
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@@ -0,0 +1,12 @@
/lib
.DS_Store
.settings/language.settings.xml
.idea/
.vscode
cmake-build-debug/
app/android/.classpath
app/android/.project
app/android/AndroidManifest.xml
app/android/res/raw/
compile_flags.txt
tags

File diff suppressed because it is too large Load Diff

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@@ -1,5 +1,6 @@
Copyright (c) 2010-2015, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
RTAB-Map - https://github.com/introlab/rtabmap
Copyright (c) 2010-2021, Mathieu Labbe - IntRoLab - Universite de Sherbrooke, all rights reserved.
Copyright (c) XXX, contributors, all rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
@@ -11,7 +12,7 @@ modification, are permitted provided that the following conditions are met:
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the names of its
* Neither the name of the copyright holders nor the names of the
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.

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@@ -1,18 +0,0 @@
function filtered = pf_filter(x, nParticles, noise, lambda)
particles = zeros(nParticles,1) ;
weights = zeros(nParticles,1);
filtered=zeros(1,length(x));
for i = 1:length(x);
for j = 1:nParticles
rn = sqrt(-2.0*log(rand))*cos(2*pi*rand); % randn c++
bruit= noise*rn;
particles(j) = particles(j) + bruit ;
dist = abs(particles(j) - x(i));
weights(j) = exp(-lambda*dist);
end
weights = weights ./(sum(weights(:)));
filtered(i) = weights'*particles;
particles = Rresample2(particles,weights);
end

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@@ -1,10 +1,27 @@
rtabmap
rtabmap ![.](https://ga-beacon-279122.nn.r.appspot.com/UA-56986679-3/github-main?pixel)
=======
[![RTAB-Map Logo](https://raw.githubusercontent.com/introlab/rtabmap/master/guilib/src/images/RTAB-Map100.png)](http://introlab.github.io/rtabmap)
[![Release][release-image]][releases]
[![License][license-image]][license]
Linux: [![Build Status](https://github.com/introlab/rtabmap/actions/workflows/cmake.yml/badge.svg)](https://github.com/introlab/rtabmap/actions/workflows/cmake.yml) [![docker](https://github.com/introlab/rtabmap/actions/workflows/docker.yml/badge.svg)](https://github.com/introlab/rtabmap/actions/workflows/docker.yml) Windows: [![Build status](https://ci.appveyor.com/api/projects/status/hr73xspix9oqa26h/branch/master?svg=true)](https://ci.appveyor.com/project/matlabbe/rtabmap/branch/master)
[release-image]: https://img.shields.io/badge/release-0.20.8-green.svg?style=flat
[releases]: https://github.com/introlab/rtabmap/releases
[license-image]: https://img.shields.io/badge/license-BSD-green.svg?style=flat
[license]: https://github.com/introlab/rtabmap/blob/master/LICENSE
RTAB-Map library and standalone application.
For more information, visit the [RTAB-Map's home page](http://introlab.github.io/rtabmap) or the [RTAB-Map's wiki](https://github.com/introlab/rtabmap/wiki).
To use RTAB-Map under ROS, visit the [rtabmap](http://wiki.ros.org/rtabmap) page on the ROS wiki.
### Acknowledgements
This project is supported by [IntRoLab - Intelligent / Interactive / Integrated / Interdisciplinary Robot Lab](https://introlab.3it.usherbrooke.ca/), Sherbrooke, Québec, Canada.
<a href="https://introlab.3it.usherbrooke.ca/">
<img src="https://github.com/introlab/16SoundsUSB/blob/master/images/IntRoLab.png" alt="IntRoLab" height="100">
</a>

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@@ -1,4 +1,8 @@
# - Config file for the RTABMap package
# Components:
# core (required)
# gui (optional)
# utilite (required)
# It defines the following variables
# RTABMap_INCLUDE_DIRS - include directories for RTABMap
# RTABMap_LIBRARIES - libraries to link against
@@ -11,41 +15,51 @@ get_filename_component(RTABMap_CMAKE_DIR "${CMAKE_CURRENT_LIST_FILE}" PATH)
set(RTABMap_INCLUDE_DIRS "@CONF_INCLUDE_DIRS@")
#core lib
find_library(RTABMap_CORE_RELEASE NAMES rtabmap_core NO_DEFAULT_PATH HINTS "@CONF_LIB_DIR@")
find_library(RTABMap_CORE_DEBUG NAMES rtabmap_cored NO_DEFAULT_PATH HINTS "@CONF_LIB_DIR@")
find_library(RTABMap_CORE_RELEASE NAMES rtabmap_core NO_DEFAULT_PATH HINTS @CONF_LIB_DIR@)
find_library(RTABMap_CORE_DEBUG NAMES rtabmap_cored NO_DEFAULT_PATH HINTS @CONF_LIB_DIR@)
IF(RTABMap_CORE_DEBUG AND RTABMap_CORE_RELEASE)
SET(RTABMap_CORE
debug ${RTABMap_CORE_DEBUG}
optimized ${RTABMap_CORE_RELEASE}
)
ELSEIF(RTABMap_CORE_RELEASE)
SET(RTABMap_CORE ${RTABMap_CORE_RELEASE})
ELSEIF(RTABMap_CORE_DEBUG)
SET(RTABMap_CORE ${RTABMap_CORE_DEBUG})
ELSE()
SET(RTABMap_CORE ${RTABMap_CORE_RELEASE})
ENDIF()
#utilite lib
find_library(RTABMap_UTILITE_RELEASE NAMES rtabmap_utilite NO_DEFAULT_PATH HINTS "@CONF_LIB_DIR@")
find_library(RTABMap_UTILITE_DEBUG NAMES rtabmap_utilited NO_DEFAULT_PATH HINTS "@CONF_LIB_DIR@")
find_library(RTABMap_UTILITE_RELEASE NAMES rtabmap_utilite NO_DEFAULT_PATH HINTS @CONF_LIB_DIR@)
find_library(RTABMap_UTILITE_DEBUG NAMES rtabmap_utilited NO_DEFAULT_PATH HINTS @CONF_LIB_DIR@)
IF(RTABMap_UTILITE_DEBUG AND RTABMap_UTILITE_RELEASE)
SET(RTABMap_UTILITE
debug ${RTABMap_UTILITE_DEBUG}
optimized ${RTABMap_UTILITE_RELEASE}
)
ELSEIF(RTABMap_UTILITE_RELEASE)
SET(RTABMap_UTILITE ${RTABMap_UTILITE_RELEASE})
ELSEIF(RTABMap_UTILITE_DEBUG)
SET(RTABMap_UTILITE ${RTABMap_UTILITE_DEBUG})
ELSE()
SET(RTABMap_UTILITE ${RTABMap_UTILITE_RELEASE})
ENDIF()
set(RTABMap_LIBRARIES ${RTABMap_CORE} ${RTABMap_UTILITE})
list(LENGTH RTABMap_FIND_COMPONENTS RTABMap_FIND_COMPONENTS_LENGTH)
set(WITH_GUI ON)
if(${RTABMap_FIND_COMPONENTS_LENGTH} GREATER 0)
list (FIND RTABMap_FIND_COMPONENTS "gui" _index)
if (${_index} EQUAL -1)
set(WITH_GUI OFF)
endif()
endif(${RTABMap_FIND_COMPONENTS_LENGTH} GREATER 0)
#gui lib (OFF if RTAB-Map is not built with Qt)
if(@CONF_WITH_GUI@)
find_library(RTABMap_GUI_RELEASE NAMES rtabmap_gui NO_DEFAULT_PATH HINTS "@CONF_LIB_DIR@")
find_library(RTABMap_GUI_DEBUG NAMES rtabmap_guid NO_DEFAULT_PATH HINTS "@CONF_LIB_DIR@")
if(@CONF_WITH_GUI@ AND ${WITH_GUI})
find_library(RTABMap_GUI_RELEASE NAMES rtabmap_gui NO_DEFAULT_PATH HINTS @CONF_LIB_DIR@)
find_library(RTABMap_GUI_DEBUG NAMES rtabmap_guid NO_DEFAULT_PATH HINTS @CONF_LIB_DIR@)
IF(RTABMap_GUI_DEBUG AND RTABMap_GUI_RELEASE)
SET(RTABMap_GUI
@@ -59,15 +73,27 @@ if(@CONF_WITH_GUI@)
ENDIF()
set(RTABMap_LIBRARIES ${RTABMap_LIBRARIES} ${RTABMap_GUI})
endif(@CONF_WITH_GUI@)
elseif(${WITH_GUI})
MESSAGE(WARNING "Asked for \"gui\" module but RTABMap hasn't been built with gui support.")
endif()
# Dependencies
if(@CONF_VTK_QT@ AND ${WITH_GUI})
find_package(VTK COMPONENTS vtkGUISupportQt NO_MODULE) # to define vtkGUISupportQt target
endif(@CONF_VTK_QT@ AND ${WITH_GUI})
if(@CONF_DEPTH_AI@)
FIND_PACKAGE(depthai 2 QUIET REQUIRED)
endif(@CONF_DEPTH_AI@)
SET(RTABMap_LIBRARIES ${RTABMap_LIBRARIES} "@CONF_DEPENDENCIES@")
#backward compatibilities
if(RTABMap_CORE)
set(RTABMAP_CORE ${RTABMap_CORE})
endif(RTABMap_CORE)
if(RTABMap_UTILITE)
set(RTABMAP_UTILITE ${RTABMap_UTILITE})
endif(RTABMap_UTILITE)
set(RTABMAP_CORE ${RTABMap_CORE})
set(RTABMAP_UTILITE ${RTABMap_UTILITE})
if(RTABMap_GUI)
set(RTABMAP_GUI ${RTABMap_GUI})
set(RTABMAP_QT_VERSION @CONF_QT_VERSION@)
endif(RTABMap_GUI)
include(FindPackageHandleStandardArgs)
find_package_handle_standard_args(RTABMap DEFAULT_MSG RTABMap_LIBRARIES RTABMap_INCLUDE_DIRS)
mark_as_advanced(RTABMap_LIBRARIES RTABMap_INCLUDE_DIRS RTABMap_LIBRARY_DIRS)

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@@ -37,7 +37,62 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#define RTABMAP_VERSION_COMPARE(major, minor, patch) (major>=@PROJECT_VERSION_MAJOR@ || (major==@PROJECT_VERSION_MAJOR@ && minor>=@PROJECT_VERSION_MINOR@) || (major==@PROJECT_VERSION_MAJOR@ && minor==@PROJECT_VERSION_MINOR@ && patch >=@PROJECT_VERSION_PATCH@))
#define RTABMAP_NONFREE @NONFREE@
@NONFREE@#define RTABMAP_NONFREE
@TORO@#define RTABMAP_TORO
@G2O@#define RTABMAP_G2O
@G2O_CPP_CONF@#define RTABMAP_G2O_CPP11
@GTSAM@#define RTABMAP_GTSAM
@CERES@#define RTABMAP_CERES
@VERTIGO@#define RTABMAP_VERTIGO
@OPENNI2@#define RTABMAP_OPENNI2
@FREENECT@#define RTABMAP_FREENECT
@FREENECT2@#define RTABMAP_FREENECT2
@K4W2@#define RTABMAP_K4W2
@K4A@#define RTABMAP_K4A
@CVSBA@#define RTABMAP_CVSBA
@POINTMATCHER@#define RTABMAP_POINTMATCHER
@CCCORELIB@#define RTABMAP_CCCORELIB
@FASTCV@#define RTABMAP_FASTCV
@PDAL@#define RTABMAP_PDAL
@LOAM@#define RTABMAP_LOAM
@FLOAM@#define RTABMAP_FLOAM
@DC1394@#define RTABMAP_DC1394
@FLYCAPTURE2@#define RTABMAP_FLYCAPTURE2
@ZED@#define RTABMAP_ZED
@ZEDOC@#define RTABMAP_ZEDOC
@REALSENSE@#define RTABMAP_REALSENSE
@REALSENSESLAM@#define RTABMAP_REALSENSE_SLAM
@REALSENSE2@#define RTABMAP_REALSENSE2
@MYNTEYE@#define RTABMAP_MYNTEYE
@DEPTHAI@#define RTABMAP_DEPTHAI
@OCTOMAP@#define RTABMAP_OCTOMAP
@CPUTSDF@#define RTABMAP_CPUTSDF
@ALICE_VISION@#define RTABMAP_ALICE_VISION
@OPENCHISEL@#define RTABMAP_OPENCHISEL
@FOVIS@#define RTABMAP_FOVIS
@VISO2@#define RTABMAP_VISO2
@DVO@#define RTABMAP_DVO
@OKVIS@#define RTABMAP_OKVIS
@MSCKF_VIO@#define RTABMAP_MSCKF_VIO
@VINS@#define RTABMAP_VINS
@OPENVINS@#define RTABMAP_OPENVINS
@ORB_SLAM@#define RTABMAP_ORB_SLAM @ORB_SLAM_VERSION@
@ORB_OCTREE@#define RTABMAP_ORB_OCTREE
@TORCH@#define RTABMAP_TORCH
@PYTHON@#define RTABMAP_PYTHON
@MADGWICK@#define RTABMAP_MADGWICK
#include <pcl/pcl_config.h>
#if PCL_VERSION_COMPARE(>, 1, 11, 1)
#include <pcl/types.h>
#define RTABMAP_PCL_INDEX pcl::index_t
#elif PCL_VERSION_COMPARE(>=, 1, 10, 0)
#define RTABMAP_PCL_INDEX std::uint32_t
#else
#include <pcl/pcl_macros.h>
#define RTABMAP_PCL_INDEX pcl::uint32_t
#endif
#endif /* VERSION_H_ */

View File

@@ -1 +1,6 @@
ADD_SUBDIRECTORY( src )
IF(ANDROID)
ADD_SUBDIRECTORY( android )
ELSE()
ADD_SUBDIRECTORY( src )
ENDIF()

2
app/android/.gitignore vendored Normal file
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@@ -0,0 +1,2 @@
/bin/
/gen/

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@@ -0,0 +1,11 @@
eclipse.preferences.version=1
org.eclipse.jdt.core.compiler.codegen.inlineJsrBytecode=enabled
org.eclipse.jdt.core.compiler.codegen.targetPlatform=1.6
org.eclipse.jdt.core.compiler.codegen.unusedLocal=preserve
org.eclipse.jdt.core.compiler.compliance=1.6
org.eclipse.jdt.core.compiler.debug.lineNumber=generate
org.eclipse.jdt.core.compiler.debug.localVariable=generate
org.eclipse.jdt.core.compiler.debug.sourceFile=generate
org.eclipse.jdt.core.compiler.problem.assertIdentifier=error
org.eclipse.jdt.core.compiler.problem.enumIdentifier=error
org.eclipse.jdt.core.compiler.source=1.6

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@@ -0,0 +1,74 @@
<?xml version="1.0" encoding="utf-8"?>
<!-- BEGIN_INCLUDE(manifest) -->
<manifest xmlns:android="http://schemas.android.com/apk/res/android"
package="com.introlab.rtabmap"
android:versionCode="72"
android:versionName="@RTABMAP_VERSION@">
<uses-permission android:name="android.permission.CAMERA" />
<uses-permission android:name="android.permission.READ_EXTERNAL_STORAGE" />
<uses-permission android:name="android.permission.WRITE_EXTERNAL_STORAGE" />
<uses-permission android:name="android.permission.INTERNET" />
<uses-permission android:name="android.permission.ACCESS_NETWORK_STATE" />
<uses-permission android:name="android.permission.ACCESS_FINE_LOCATION" />
<uses-permission android:name="android.permission.ACCESS_WIFI_STATE" />
<uses-feature android:name="android.hardware.location.gps" />
<uses-feature android:glEsVersion="0x00020000" />
<!-- This is the platform API where depth16 support in android was introduced. -->
<uses-sdk android:minSdkVersion="@ANDROID_NATIVE_API_LEVEL@" />
<!-- This .apk has no Java code itself, so set hasCode to false. -->
<application
android:label="@string/app_name"
android:icon="@drawable/ic_launcher"
android:debuggable="@ANDROID_DEBUGGABLE@">
<uses-library android:name="com.projecttango.libtango_device2" android:required="false" />
<meta-data android:name="com.google.ar.core" android:value="optional" />
<meta-data android:name="com.huawei.ar.engine" android:value="optional" />
<!-- Our activity is the built-in NativeActivity framework class.
This will take care of integrating with our NDK code. -->
<activity android:name="RTABMapActivity"
android:label="@string/app_name"
android:launchMode="singleTask"
android:screenOrientation="fullSensor"
android:configChanges="orientation|screenSize|keyboardHidden"
android:theme="@style/ThemeApp">
<!-- Tell NativeActivity the name of our .so -->
<meta-data android:name="android.app.lib_name"
android:value="NativeRTABMap" />
<intent-filter>
<action android:name="android.intent.action.MAIN" />
<category android:name="android.intent.category.LAUNCHER" />
</intent-filter>
</activity>
<activity android:name="SettingsActivity" android:label="@string/settings" android:screenOrientation="fullSensor"/>
<activity android:name="SketchfabActivity" android:label="@string/sketchfab" android:screenOrientation="fullSensor"/>
<meta-data
android:name="com.google.ar.core.min_apk_version"
android:value="191106000" /> <!-- This activity is critical for installing ARCore when it is not already present. -->
<activity
android:name="com.google.ar.core.InstallActivity"
android:configChanges="keyboardHidden|orientation|screenSize"
android:excludeFromRecents="true"
android:exported="false"
android:launchMode="singleTop"
android:theme="@android:style/Theme.Material.Light.Dialog.Alert" />
<provider
android:name="android.support.v4.content.FileProvider"
android:authorities="com.introlab.rtabmap.provider"
android:exported="false"
android:grantUriPermissions="true">
<meta-data
android:name="android.support.FILE_PROVIDER_PATHS"
android:resource="@xml/provider_paths"/>
</provider>
</application>
</manifest>
<!-- END_INCLUDE(manifest) -->

191
app/android/CMakeLists.txt Normal file
View File

@@ -0,0 +1,191 @@
option(WITH_TANGO "Include Tango support" ON)
option(WITH_ARCORE "Include ARCore support" ON)
option(WITH_ARENGINE "Include AREngine support" ON)
option(DISABLE_LOG "Disable Android logging (should be true in release)" ON)
option(DEPTH_TEST "Enable depth test on ARCore" OFF)
# Google Tango needs access to system shared
# libraries (e.g. libbinder.so) that are not accessible
# with android >=24
IF(WITH_TANGO AND ${ANDROID_NATIVE_API_LEVEL} LESS 24)
FIND_PACKAGE(Tango QUIET)
IF(Tango_FOUND)
MESSAGE(STATUS "Found Tango: ${Tango_INCLUDE_DIRS}")
ENDIF(Tango_FOUND)
ENDIF(WITH_TANGO AND ${ANDROID_NATIVE_API_LEVEL} LESS 24)
IF(WITH_ARCORE AND ${ANDROID_NATIVE_API_LEVEL} GREATER 22)
FIND_PACKAGE(ARCore QUIET)
IF(ARCore_FOUND)
MESSAGE(STATUS "Found ARCore: ${ARCore_INCLUDE_DIRS}")
ENDIF(ARCore_FOUND)
ENDIF(WITH_ARCORE AND ${ANDROID_NATIVE_API_LEVEL} GREATER 22)
IF(WITH_ARENGINE AND ${ANDROID_NATIVE_API_LEVEL} GREATER 23)
FIND_PACKAGE(AREngine QUIET)
IF(AREngine_FOUND)
MESSAGE(STATUS "Found AREngine: ${AREngine_INCLUDE_DIRS}")
ENDIF(AREngine_FOUND)
ENDIF(WITH_ARENGINE AND ${ANDROID_NATIVE_API_LEVEL} GREATER 23)
IF(NOT Tango_FOUND)
SET(TANGO "//")
ENDIF(NOT Tango_FOUND)
IF(NOT ARCore_FOUND)
SET(ARCORE "//")
ENDIF(NOT ARCore_FOUND)
IF(NOT AREngine_FOUND)
SET(ARENGINE "//")
ENDIF(NOT AREngine_FOUND)
CONFIGURE_FILE(CameraAvailability.h.in ${CMAKE_CURRENT_SOURCE_DIR}/jni/CameraAvailability.h)
IF(DISABLE_LOG)
ADD_DEFINITIONS(-DDISABLE_LOG)
ENDIF(DISABLE_LOG)
IF(DEPTH_TEST)
ADD_DEFINITIONS(-DDEPTH_TEST)
ENDIF(DEPTH_TEST)
MESSAGE(STATUS "--------------------------------------------")
MESSAGE(STATUS "Android build info:")
MESSAGE(STATUS " DISABLE_LOG = ${DISABLE_LOG}")
MESSAGE(STATUS " DEPTH_TEST = ${DEPTH_TEST}")
IF(Tango_FOUND)
MESSAGE(STATUS " With Tango = YES")
ELSEIF(NOT WITH_TANGO)
MESSAGE(STATUS " With Tango = NO (WITH_TANGO=OFF)")
ELSE()
IF(${ANDROID_NATIVE_API_LEVEL} GREATER 23)
MESSAGE(STATUS " With Tango = NO (ANDROID_NATIVE_API_LEVEL should be <= 23)")
ELSE()
MESSAGE(STATUS " With Tango = NO (tango not found)")
ENDIF()
ENDIF()
IF(ARCore_FOUND)
MESSAGE(STATUS " With ARCore = YES")
ELSEIF(NOT WITH_ARCORE)
MESSAGE(STATUS " With ARCore = NO (WITH_ARCORE=OFF)")
ELSE()
IF(${ANDROID_NATIVE_API_LEVEL} LESS 23)
MESSAGE(STATUS " With ARCore = NO (ANDROID_NATIVE_API_LEVEL should be >= 23)")
ELSE()
MESSAGE(STATUS " With ARCore = NO (ARCore not found)")
ENDIF()
ENDIF()
IF(AREngine_FOUND)
MESSAGE(STATUS " With AREngine = YES")
ELSEIF(NOT WITH_ARENGINE)
MESSAGE(STATUS " With AREngine = NO (WITH_ARENGINE=OFF)")
ELSE()
IF(${ANDROID_NATIVE_API_LEVEL} LESS 24)
MESSAGE(STATUS " With AREngine = NO (ANDROID_NATIVE_API_LEVEL should be >= 24)")
ELSE()
MESSAGE(STATUS " With AREngine = NO (AREngine not found)")
ENDIF()
ENDIF()
MESSAGE(STATUS " ANDROID_NATIVE_API_LEVEL = ${ANDROID_NATIVE_API_LEVEL}")
MESSAGE(STATUS " ANDROID_COMPILER_FLAGS_RELEASE = ${ANDROID_COMPILER_FLAGS_RELEASE}")
MESSAGE(STATUS " ANDROID_TOOLCHAIN_PREFIX = ${ANDROID_TOOLCHAIN_PREFIX}")
IF(DISABLE_LOG)
SET(ANDROID_DEBUGGABLE false)
ELSE()
SET(ANDROID_DEBUGGABLE true)
ENDIF()
add_subdirectory(jni)
######
# Packaging
######
# find android
find_host_program(ANDROID_EXECUTABLE
NAMES android
DOC "The android command-line tool")
if(NOT ANDROID_EXECUTABLE)
message(FATAL_ERROR "Can not find android command line tool: android")
endif()
configure_file(
"${CMAKE_CURRENT_SOURCE_DIR}/AndroidManifest.xml.in"
"${CMAKE_CURRENT_SOURCE_DIR}/AndroidManifest.xml"
@ONLY)
configure_file(
"${CMAKE_CURRENT_SOURCE_DIR}/AndroidManifest.xml"
"${CMAKE_CURRENT_BINARY_DIR}/AndroidManifest.xml"
COPYONLY)
configure_file(
"${CMAKE_CURRENT_SOURCE_DIR}/info.txt.in"
"${CMAKE_CURRENT_SOURCE_DIR}/res/raw/info.txt")
configure_file(
"${CMAKE_CURRENT_SOURCE_DIR}/ant.properties.in"
"${CMAKE_CURRENT_BINARY_DIR}/ant.properties"
@ONLY)
configure_file(
"${CMAKE_CURRENT_SOURCE_DIR}/custom_rules.xml"
"${CMAKE_CURRENT_BINARY_DIR}/custom_rules.xml"
COPYONLY)
add_custom_target(NativeRTABMap-ant-configure ALL
COMMAND "${ANDROID_EXECUTABLE}"
update project
--name RTABMap
--path "${CMAKE_CURRENT_SOURCE_DIR}"
--target "android-${ANDROID_NATIVE_API_LEVEL}"
COMMAND "${CMAKE_COMMAND}" -E copy_if_different
"${CMAKE_CURRENT_SOURCE_DIR}/build.xml"
"${CMAKE_CURRENT_BINARY_DIR}/build.xml"
COMMAND "${CMAKE_COMMAND}" -E copy_if_different
"${CMAKE_CURRENT_SOURCE_DIR}/local.properties"
"${CMAKE_CURRENT_BINARY_DIR}/local.properties"
COMMAND "${CMAKE_COMMAND}" -E copy_if_different
"${CMAKE_CURRENT_SOURCE_DIR}/project.properties"
"${CMAKE_CURRENT_BINARY_DIR}/project.properties"
COMMAND "${CMAKE_COMMAND}" -E copy_if_different
"${CMAKE_CURRENT_SOURCE_DIR}/proguard-project.txt"
"${CMAKE_CURRENT_BINARY_DIR}/proguard-project.txt"
COMMAND "${CMAKE_COMMAND}" -E remove
"${CMAKE_CURRENT_SOURCE_DIR}/build.xml"
"${CMAKE_CURRENT_SOURCE_DIR}/local.properties"
"${CMAKE_CURRENT_SOURCE_DIR}/project.properties"
"${CMAKE_CURRENT_SOURCE_DIR}/proguard-project.txt"
WORKING_DIRECTORY
"${CMAKE_CURRENT_BINARY_DIR}")
add_dependencies(NativeRTABMap-ant-configure NativeRTABMap)
#find ant
find_host_program(ANT_EXECUTABLE
NAMES ant
DOC "The ant build tool")
if(NOT ANT_EXECUTABLE)
message(FATAL_ERROR "Can not find ant build tool: ant")
endif()
add_custom_target(NativeRTABMap-apk-release ALL
COMMAND ${ANT_EXECUTABLE}
-file "${CMAKE_CURRENT_BINARY_DIR}/build.xml"
release)
add_dependencies(NativeRTABMap-apk-release
NativeRTABMap-ant-configure
NativeRTABMap)
add_custom_target(NativeRTABMap-apk-debug ALL
COMMAND ${ANT_EXECUTABLE}
-file "${CMAKE_CURRENT_BINARY_DIR}/build.xml"
debug)
add_dependencies(NativeRTABMap-apk-debug
# NativeRTABMap-apk-release
NativeRTABMap-ant-configure
NativeRTABMap)

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@@ -0,0 +1,39 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL UNIVERTY DE SHERBROOKE BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef CAMERAAVAILABILITY_H_
#define CAMERAAVAILABILITY_H_
// This is auto-generated!
@TANGO@#define RTABMAP_TANGO
@ARCORE@#define RTABMAP_ARCORE
@ARENGINE@#define RTABMAP_ARENGINE
#endif /* CAMERAAVAILABILITY_H_ */

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@@ -0,0 +1,13 @@
builddir=@CMAKE_CURRENT_BINARY_DIR@
srcdir=@CMAKE_CURRENT_SOURCE_DIR@
android.abi=@ANDROID_ABI@
source.dir=${srcdir}/src
gen.dir=${builddir}/gen
out.dir=${builddir}/bin
asset.dir=${builddir}/assets
resource.absolute.dir=${srcdir}/res
jar.libs.dir=${builddir}/libs
external.libs.dir=${builddir}/libs
native.libs.dir=${builddir}/libs

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@@ -0,0 +1,13 @@
<project>
<target name="-pre-build">
<copy todir="${jar.libs.dir}">
<fileset dir="${srcdir}/libs" includes="**/*.jar" excludes="**/*sources.jar, **/*javadoc.jar" />
</copy>
<copy todir="${native.libs.dir}/${android.abi}">
<fileset dir="${srcdir}/jni/third-party/lib" includes="*.so"/>
</copy>
<copy todir="${native.libs.dir}">
<fileset dir="${srcdir}/jni/third-party/lib" includes="${android.abi}/*.so"/>
</copy>
</target>
</project>

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7
app/android/info.txt.in Normal file
View File

@@ -0,0 +1,7 @@
<h3>Real-Time Appearance-Based Mapping</h3>
Version @RTABMAP_VERSION@<br>
Author: Mathieu Labb&eacute;<br>
Copyright 2016-2020<br>
IntRoLab - Universit&eacute; de Sherbrooke<br>
<b>http://introlab.github.io/rtabmap</b><br><br>

1
app/android/jni/.gitignore vendored Normal file
View File

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CameraAvailability.h

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SET(INCLUDE_DIRS
${CMAKE_CURRENT_SOURCE_DIR}
${CMAKE_CURRENT_SOURCE_DIR}/tango-gl/include
${CMAKE_CURRENT_SOURCE_DIR}/third-party/include
${PROJECT_SOURCE_DIR}/corelib/include
${PROJECT_SOURCE_DIR}/utilite/include
${OpenCV_INCLUDE_DIRS}
${PCL_INCLUDE_DIRS}
"${ANDROID_NDK}/platforms/android-${ANDROID_NATIVE_API_LEVEL}/arch-${ANDROID_ARCH_NAME}/usr/include"
)
SET(LIBRARIES
${OpenCV_LIBRARIES}
${PCL_LIBRARIES}
)
set(sources
jni_interface.cpp
CameraMobile.cpp
RTABMapApp.cpp
scene.cpp
point_cloud_drawable.cpp
graph_drawable.cpp
background_renderer.cc
tango-gl/axis.cpp
tango-gl/camera.cpp
tango-gl/conversions.cpp
tango-gl/drawable_object.cpp
tango-gl/frustum.cpp
tango-gl/gesture_camera.cpp
tango-gl/grid.cpp
tango-gl/line.cpp
tango-gl/shaders.cpp
tango-gl/trace.cpp
tango-gl/transform.cpp
tango-gl/util.cpp
)
IF(OPENMP_FOUND)
file(COPY ${OpenMP_CXX_LIBRARIES}
DESTINATION ${CMAKE_CURRENT_BINARY_DIR}/../libs/${ANDROID_NDK_ABI_NAME})
ENDIF(OPENMP_FOUND)
IF(Tango_FOUND)
SET(sources
${sources}
CameraTango.cpp
)
SET(INCLUDE_DIRS
${INCLUDE_DIRS}
${Tango_INCLUDE_DIRS}
)
SET(LIBRARIES
${LIBRARIES}
${Tango_LIBRARIES}
)
file(COPY ${Tango_support_LIBRARY}
DESTINATION ${CMAKE_CURRENT_BINARY_DIR}/../libs/${ANDROID_NDK_ABI_NAME})
ENDIF(Tango_FOUND)
IF(ARCore_FOUND)
SET(sources
${sources}
CameraARCore.cpp
)
SET(INCLUDE_DIRS
${INCLUDE_DIRS}
${ARCore_INCLUDE_DIRS}
)
SET(LIBRARIES
${LIBRARIES}
${ARCore_LIBRARIES}
)
file(COPY ${ARCore_c_LIBRARY}
DESTINATION ${CMAKE_CURRENT_BINARY_DIR}/../libs/${ANDROID_NDK_ABI_NAME})
file(COPY ${ARCore_jni_LIBRARY}
DESTINATION ${CMAKE_CURRENT_BINARY_DIR}/../libs/${ANDROID_NDK_ABI_NAME})
ENDIF(ARCore_FOUND)
IF(AREngine_FOUND)
SET(sources
${sources}
CameraAREngine.cpp
)
SET(INCLUDE_DIRS
${INCLUDE_DIRS}
${AREngine_INCLUDE_DIRS}
)
SET(LIBRARIES
${LIBRARIES}
${AREngine_LIBRARIES}
camera2ndk
mediandk
)
file(COPY ${AREngine_impl_LIBRARY}
DESTINATION ${CMAKE_CURRENT_BINARY_DIR}/../libs/${ANDROID_NDK_ABI_NAME})
file(COPY ${AREngine_jni_LIBRARY}
DESTINATION ${CMAKE_CURRENT_BINARY_DIR}/../libs/${ANDROID_NDK_ABI_NAME})
file(COPY ${AREngine_ndk_LIBRARY}
DESTINATION ${CMAKE_CURRENT_BINARY_DIR}/../libs/${ANDROID_NDK_ABI_NAME})
ENDIF(AREngine_FOUND)
add_definitions(${PCL_DEFINITIONS})
INCLUDE_DIRECTORIES(${INCLUDE_DIRS})
add_library(NativeRTABMap SHARED ${sources})
target_link_libraries(NativeRTABMap ${LIBRARIES}
android
log
GLESv2
rtabmap_core
rtabmap_utilite
)
# see ant.properties.in
set_target_properties(NativeRTABMap PROPERTIES
LIBRARY_OUTPUT_DIRECTORY "${CMAKE_CURRENT_BINARY_DIR}/../libs/${ANDROID_NDK_ABI_NAME}"
LIBRARY_OUTPUT_DIRECTORY_DEBUG "${CMAKE_CURRENT_BINARY_DIR}/../libs/${ANDROID_NDK_ABI_NAME}"
LIBRARY_OUTPUT_DIRECTORY_RELEASE "${CMAKE_CURRENT_BINARY_DIR}/../libs/${ANDROID_NDK_ABI_NAME}")
IF(ANDROID_NATIVE_API_LEVEL GREATER 22)
add_custom_command(TARGET NativeRTABMap POST_BUILD
COMMAND "${ANDROID_TOOLCHAIN_PREFIX}strip" -g -S -d --strip-debug --verbose
"${CMAKE_CURRENT_BINARY_DIR}/../libs/${ANDROID_NDK_ABI_NAME}/libNativeRTABMap.so"
COMMENT "Strip debug symbols done on final binary.")
ENDIF(ANDROID_NATIVE_API_LEVEL GREATER 22)

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@@ -0,0 +1,704 @@
/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include "CameraARCore.h"
#include "util.h"
#include "rtabmap/utilite/ULogger.h"
#include "rtabmap/core/util3d_transforms.h"
#include "rtabmap/core/OdometryEvent.h"
#include "rtabmap/core/util2d.h"
namespace rtabmap {
//////////////////////////////
// CameraARCore
//////////////////////////////
CameraARCore::CameraARCore(void* env, void* context, void* activity, bool depthFromMotion, bool smoothing):
CameraMobile(smoothing),
env_(env),
context_(context),
activity_(activity),
arInstallRequested_(false),
depthFromMotion_(depthFromMotion)
{
}
CameraARCore::~CameraARCore() {
// Disconnect ARCore service
close();
}
struct CameraConfig {
int32_t width = 0;
int32_t height = 0;
std::string config_label;
ArCameraConfig* config = nullptr;
};
void getCameraConfigLowestAndHighestResolutions(
std::vector<CameraConfig> & camera_configs,
CameraConfig** lowest_resolution_config,
CameraConfig** highest_resolution_config) {
if (camera_configs.empty()) {
return;
}
int low_resolution_config_idx = 0;
int high_resolution_config_idx = 0;
int32_t smallest_height = camera_configs[0].height;
int32_t largest_height = camera_configs[0].height;
for (int i = 1; i < camera_configs.size(); ++i) {
int32_t image_height = camera_configs[i].height;
if (image_height < smallest_height) {
smallest_height = image_height;
low_resolution_config_idx = i;
} else if (image_height > largest_height) {
largest_height = image_height;
high_resolution_config_idx = i;
}
}
if (low_resolution_config_idx == high_resolution_config_idx) {
*lowest_resolution_config = &camera_configs[low_resolution_config_idx];
} else {
*lowest_resolution_config = &camera_configs[low_resolution_config_idx];
*highest_resolution_config = &camera_configs[high_resolution_config_idx];
}
}
void copyCameraConfig(
const ArSession* ar_session, const ArCameraConfigList* all_configs,
int index, int num_configs, CameraConfig* camera_config) {
if (camera_config != nullptr && index >= 0 && index < num_configs) {
ArCameraConfig_create(ar_session, &camera_config->config);
ArCameraConfigList_getItem(ar_session, all_configs, index,
camera_config->config);
ArCameraConfig_getImageDimensions(ar_session, camera_config->config,
&camera_config->width,
&camera_config->height);
camera_config->config_label = "(" + std::to_string(camera_config->width) +
"x" + std::to_string(camera_config->height) +
")";
}
}
void destroyCameraConfigs(std::vector<CameraConfig> & camera_configs) {
for (int i = 0; i < camera_configs.size(); ++i) {
if (camera_configs[i].config != nullptr) {
ArCameraConfig_destroy(camera_configs[i].config);
}
}
}
std::string CameraARCore::getSerial() const
{
return "ARCore";
}
bool CameraARCore::init(const std::string & calibrationFolder, const std::string & cameraName)
{
close();
UScopeMutex lock(arSessionMutex_);
ArInstallStatus install_status;
// If install was not yet requested, that means that we are resuming the
// activity first time because of explicit user interaction (such as
// launching the application)
bool user_requested_install = !arInstallRequested_;
// === ATTENTION! ATTENTION! ATTENTION! ===
// This method can and will fail in user-facing situations. Your
// application must handle these cases at least somewhat gracefully. See
// HelloAR Java sample code for reasonable behavior.
ArCoreApk_requestInstall(env_, activity_, user_requested_install, &install_status);
switch (install_status)
{
case AR_INSTALL_STATUS_INSTALLED:
break;
case AR_INSTALL_STATUS_INSTALL_REQUESTED:
arInstallRequested_ = true;
return false;
}
// === ATTENTION! ATTENTION! ATTENTION! ===
// This method can and will fail in user-facing situations. Your
// application must handle these cases at least somewhat gracefully. See
// HelloAR Java sample code for reasonable behavior.
UASSERT(ArSession_create(env_, context_, &arSession_) == AR_SUCCESS);
UASSERT(arSession_);
int32_t is_depth_supported = 0;
ArSession_isDepthModeSupported(arSession_, AR_DEPTH_MODE_AUTOMATIC, &is_depth_supported);
ArConfig_create(arSession_, &arConfig_);
UASSERT(arConfig_);
if (is_depth_supported!=0) {
ArConfig_setDepthMode(arSession_, arConfig_, AR_DEPTH_MODE_AUTOMATIC);
} else {
ArConfig_setDepthMode(arSession_, arConfig_, AR_DEPTH_MODE_DISABLED);
}
ArConfig_setFocusMode(arSession_, arConfig_, AR_FOCUS_MODE_FIXED);
UASSERT(ArSession_configure(arSession_, arConfig_) == AR_SUCCESS);
ArFrame_create(arSession_, &arFrame_);
UASSERT(arFrame_);
ArCameraIntrinsics_create(arSession_, &arCameraIntrinsics_);
UASSERT(arCameraIntrinsics_);
ArPose_create(arSession_, nullptr, &arPose_);
UASSERT(arPose_);
ArCameraConfigList* all_camera_configs = nullptr;
int32_t num_configs = 0;
ArCameraConfigList_create(arSession_, &all_camera_configs);
// Create filter first to get both 30 and 60 fps.
ArCameraConfigFilter* camera_config_filter = nullptr;
ArCameraConfigFilter_create(arSession_, &camera_config_filter);
ArCameraConfigFilter_setTargetFps(arSession_, camera_config_filter, AR_CAMERA_CONFIG_TARGET_FPS_30 | AR_CAMERA_CONFIG_TARGET_FPS_60);
ArSession_getSupportedCameraConfigsWithFilter(arSession_, camera_config_filter, all_camera_configs);
ArCameraConfigList_getSize(arSession_, all_camera_configs, &num_configs);
if (num_configs < 1) {
UERROR("No camera config found");
close();
return false;
}
std::vector<CameraConfig> camera_configs;
CameraConfig* cpu_low_resolution_camera_config_ptr = nullptr;
CameraConfig* cpu_high_resolution_camera_config_ptr = nullptr;
camera_configs.resize(num_configs);
for (int i = 0; i < num_configs; ++i) {
copyCameraConfig(arSession_, all_camera_configs, i, num_configs,
&camera_configs[i]);
}
// Determine the highest and lowest CPU resolutions.
cpu_low_resolution_camera_config_ptr = nullptr;
cpu_high_resolution_camera_config_ptr = nullptr;
getCameraConfigLowestAndHighestResolutions(
camera_configs,
&cpu_low_resolution_camera_config_ptr,
&cpu_high_resolution_camera_config_ptr);
// Cleanup the list obtained as it is safe to destroy the list as camera
// config instances were explicitly created and copied. Refer to the
// previous comment.
ArCameraConfigList_destroy(all_camera_configs);
ArSession_setCameraConfig(arSession_, cpu_low_resolution_camera_config_ptr->config);
/// Sets the behavior of @ref ArSession_update(). See
/// ::ArUpdateMode for available options.
ArConfig_setUpdateMode(arSession_, arConfig_, AR_UPDATE_MODE_BLOCKING);
deviceTColorCamera_ = opticalRotation;
if (ArSession_resume(arSession_) != ArStatus::AR_SUCCESS)
{
UERROR("Cannot resume camera!");
// In a rare case (such as another camera app launching) the camera may be
// given to a different app and so may not be available to this app. Handle
// this properly and recreate the session at the next iteration.
close();
return false;
}
return true;
}
void CameraARCore::close()
{
UScopeMutex lock(arSessionMutex_);
if(arSession_!= nullptr)
{
ArSession_destroy(arSession_);
}
arSession_ = nullptr;
if(arConfig_!= nullptr)
{
ArConfig_destroy(arConfig_);
}
arConfig_ = nullptr;
if (arFrame_ != nullptr)
{
ArFrame_destroy(arFrame_);
}
arFrame_ = nullptr;
if (arCameraIntrinsics_ != nullptr)
{
ArCameraIntrinsics_destroy(arCameraIntrinsics_);
}
arCameraIntrinsics_ = nullptr;
if (arPose_ != nullptr)
{
ArPose_destroy(arPose_);
}
arPose_ = nullptr;
CameraMobile::close();
}
LaserScan CameraARCore::scanFromPointCloudData(
const float * pointCloudData,
int points,
const Transform & pose,
const CameraModel & model,
const cv::Mat & rgb,
std::vector<cv::KeyPoint> * kpts,
std::vector<cv::Point3f> * kpts3D)
{
if(pointCloudData && points>0)
{
cv::Mat scanData(1, points, CV_32FC4);
float * ptr = scanData.ptr<float>();
for(unsigned int i=0;i<points; ++i)
{
cv::Point3f pt(pointCloudData[i*4], pointCloudData[i*4 + 1], pointCloudData[i*4 + 2]);
pt = util3d::transformPoint(pt, pose.inverse()*rtabmap_world_T_opengl_world);
ptr[i*4] = pt.x;
ptr[i*4 + 1] = pt.y;
ptr[i*4 + 2] = pt.z;
//get color from rgb image
cv::Point3f org= pt;
pt = util3d::transformPoint(pt, opticalRotationInv);
int u,v;
model.reproject(pt.x, pt.y, pt.z, u, v);
unsigned char r=255,g=255,b=255;
if(model.inFrame(u, v))
{
b=rgb.at<cv::Vec3b>(v,u).val[0];
g=rgb.at<cv::Vec3b>(v,u).val[1];
r=rgb.at<cv::Vec3b>(v,u).val[2];
if(kpts)
kpts->push_back(cv::KeyPoint(u,v,3));
if(kpts3D)
kpts3D->push_back(org);
}
*(int*)&ptr[i*4 + 3] = int(b) | (int(g) << 8) | (int(r) << 16);
//confidence
//*(int*)&ptr[i*4 + 3] = (int(pointCloudData[i*4 + 3] * 255.0f) << 8) | (int(255) << 16);
}
return LaserScan::backwardCompatibility(scanData, 0, 10, rtabmap::Transform::getIdentity());
}
return LaserScan();
}
void CameraARCore::setScreenRotationAndSize(ScreenRotation colorCameraToDisplayRotation, int width, int height)
{
CameraMobile::setScreenRotationAndSize(colorCameraToDisplayRotation, width, height);
if(arSession_)
{
int ret = static_cast<int>(colorCameraToDisplayRotation) + 1; // remove 90deg camera rotation
if (ret > 3) {
ret -= 4;
}
ArSession_setDisplayGeometry(arSession_, ret, width, height);
}
}
SensorData CameraARCore::captureImage(CameraInfo * info)
{
UScopeMutex lock(arSessionMutex_);
//LOGI("Capturing image...");
SensorData data;
if(!arSession_)
{
return data;
}
if(textureId_ == 0)
{
glGenTextures(1, &textureId_);
glBindTexture(GL_TEXTURE_EXTERNAL_OES, textureId_);
glTexParameteri(GL_TEXTURE_EXTERNAL_OES, GL_TEXTURE_WRAP_S, GL_CLAMP_TO_EDGE);
glTexParameteri(GL_TEXTURE_EXTERNAL_OES, GL_TEXTURE_WRAP_T, GL_CLAMP_TO_EDGE);
glTexParameteri(GL_TEXTURE_EXTERNAL_OES, GL_TEXTURE_MIN_FILTER, GL_NEAREST);
glTexParameteri(GL_TEXTURE_EXTERNAL_OES, GL_TEXTURE_MAG_FILTER, GL_NEAREST);
}
if(textureId_!=0)
ArSession_setCameraTextureName(arSession_, textureId_);
// Update session to get current frame and render camera background.
if (ArSession_update(arSession_, arFrame_) != AR_SUCCESS) {
LOGE("CameraARCore::captureImage() ArSession_update error");
return data;
}
// If display rotation changed (also includes view size change), we need to
// re-query the uv coordinates for the on-screen portion of the camera image.
int32_t geometry_changed = 0;
ArFrame_getDisplayGeometryChanged(arSession_, arFrame_, &geometry_changed);
if (geometry_changed != 0 || !uvs_initialized_) {
ArFrame_transformCoordinates2d(
arSession_, arFrame_, AR_COORDINATES_2D_OPENGL_NORMALIZED_DEVICE_COORDINATES,
BackgroundRenderer::kNumVertices, BackgroundRenderer_kVertices, AR_COORDINATES_2D_TEXTURE_NORMALIZED,
transformed_uvs_);
UASSERT(transformed_uvs_);
uvs_initialized_ = true;
}
ArCamera* ar_camera;
ArFrame_acquireCamera(arSession_, arFrame_, &ar_camera);
ArCamera_getViewMatrix(arSession_, ar_camera, glm::value_ptr(viewMatrix_));
ArCamera_getProjectionMatrix(arSession_, ar_camera,
/*near=*/0.1f, /*far=*/100.f,
glm::value_ptr(projectionMatrix_));
// adjust origin
if(!getOriginOffset().isNull())
{
viewMatrix_ = glm::inverse(rtabmap::glmFromTransform(rtabmap::opengl_world_T_rtabmap_world * getOriginOffset() *rtabmap::rtabmap_world_T_opengl_world)*glm::inverse(viewMatrix_));
}
ArTrackingState camera_tracking_state;
ArCamera_getTrackingState(arSession_, ar_camera, &camera_tracking_state);
Transform pose;
CameraModel model;
if(camera_tracking_state == AR_TRACKING_STATE_TRACKING)
{
// pose in OpenGL coordinates
float pose_raw[7];
ArCamera_getPose(arSession_, ar_camera, arPose_);
ArPose_getPoseRaw(arSession_, arPose_, pose_raw);
pose = Transform(pose_raw[4], pose_raw[5], pose_raw[6], pose_raw[0], pose_raw[1], pose_raw[2], pose_raw[3]);
pose = rtabmap::rtabmap_world_T_opengl_world * pose * rtabmap::opengl_world_T_rtabmap_world;
Transform poseArCore = pose;
if(pose.isNull())
{
LOGE("CameraARCore: Pose is null");
}
else
{
this->poseReceived(pose);
// adjust origin
if(!getOriginOffset().isNull())
{
pose = getOriginOffset() * pose;
}
info->odomPose = pose;
}
// Get calibration parameters
float fx,fy, cx, cy;
int32_t width, height;
ArCamera_getImageIntrinsics(arSession_, ar_camera, arCameraIntrinsics_);
ArCameraIntrinsics_getFocalLength(arSession_, arCameraIntrinsics_, &fx, &fy);
ArCameraIntrinsics_getPrincipalPoint(arSession_, arCameraIntrinsics_, &cx, &cy);
ArCameraIntrinsics_getImageDimensions(arSession_, arCameraIntrinsics_, &width, &height);
#ifndef DISABLE_LOG
LOGI("%f %f %f %f %d %d", fx, fy, cx, cy, width, height);
#endif
if(fx > 0 && fy > 0 && width > 0 && height > 0 && cx > 0 && cy > 0)
{
model = CameraModel(fx, fy, cx, cy, deviceTColorCamera_, 0, cv::Size(width, height));
ArPointCloud * pointCloud = nullptr;
ArFrame_acquirePointCloud(arSession_, arFrame_, &pointCloud);
int32_t is_depth_supported = 0;
ArSession_isDepthModeSupported(arSession_, AR_DEPTH_MODE_AUTOMATIC, &is_depth_supported);
ArImage * image = nullptr;
ArStatus status = ArFrame_acquireCameraImage(arSession_, arFrame_, &image);
if(status == AR_SUCCESS)
{
if(is_depth_supported)
{
LOGD("Acquire depth image!");
ArImage * depthImage = nullptr;
ArFrame_acquireDepthImage(arSession_, arFrame_, &depthImage);
ArImageFormat format;
ArImage_getFormat(arSession_, depthImage, &format);
if(format == AR_IMAGE_FORMAT_DEPTH16)
{
LOGD("Depth format detected!");
int planeCount;
ArImage_getNumberOfPlanes(arSession_, depthImage, &planeCount);
LOGD("planeCount=%d", planeCount);
UASSERT_MSG(planeCount == 1, uFormat("Error: getNumberOfPlanes() planceCount = %d", planeCount).c_str());
const uint8_t *data = nullptr;
int len = 0;
int stride;
int depth_width;
int depth_height;
ArImage_getWidth(arSession_, depthImage, &depth_width);
ArImage_getHeight(arSession_, depthImage, &depth_height);
ArImage_getPlaneRowStride(arSession_, depthImage, 0, &stride);
ArImage_getPlaneData(arSession_, depthImage, 0, &data, &len);
LOGD("width=%d, height=%d, bytes=%d stride=%d", depth_width, depth_height, len, stride);
cv::Mat occlusionImage = cv::Mat(depth_height, depth_width, CV_16UC1, (void*)data).clone();
float scaleX = (float)depth_width / (float)width;
float scaleY = (float)depth_height / (float)height;
CameraModel occlusionModel(fx*scaleX, fy*scaleY, cx*scaleX, cy*scaleY, pose*deviceTColorCamera_, 0, cv::Size(depth_width, depth_height));
this->setOcclusionImage(occlusionImage, occlusionModel);
}
ArImage_release(depthImage);
}
int64_t timestamp_ns;
ArImageFormat format;
ArImage_getTimestamp(arSession_, image, &timestamp_ns);
ArImage_getFormat(arSession_, image, &format);
if(format == AR_IMAGE_FORMAT_YUV_420_888)
{
#ifndef DISABLE_LOG
int32_t num_planes;
ArImage_getNumberOfPlanes(arSession_, image, &num_planes);
for(int i=0;i<num_planes; ++i)
{
int32_t pixel_stride;
int32_t row_stride;
ArImage_getPlanePixelStride(arSession_, image, i, &pixel_stride);
ArImage_getPlaneRowStride(arSession_, image, i, &row_stride);
LOGI("Plane %d/%d: pixel stride=%d, row stride=%d", i+1, num_planes, pixel_stride, row_stride);
}
#endif
const uint8_t * plane_data;
const uint8_t * plane_uv_data;
int32_t data_length;
ArImage_getPlaneData(arSession_, image, 0, &plane_data, &data_length);
int32_t uv_data_length;
ArImage_getPlaneData(arSession_, image, 2, &plane_uv_data, &uv_data_length);
if(plane_data != nullptr && data_length == height*width)
{
double stamp = double(timestamp_ns)/10e8;
#ifndef DISABLE_LOG
LOGI("data_length=%d stamp=%f", data_length, stamp);
#endif
cv::Mat rgb;
if((long)plane_uv_data-(long)plane_data != data_length)
{
// The uv-plane is not concatenated to y plane in memory, so concatenate them
cv::Mat yuv(height+height/2, width, CV_8UC1);
memcpy(yuv.data, plane_data, data_length);
memcpy(yuv.data+data_length, plane_uv_data, height/2*width);
cv::cvtColor(yuv, rgb, CV_YUV2BGR_NV21);
}
else
{
cv::cvtColor(cv::Mat(height+height/2, width, CV_8UC1, (void*)plane_data), rgb, CV_YUV2BGR_NV21);
}
std::vector<cv::KeyPoint> kpts;
std::vector<cv::Point3f> kpts3;
LaserScan scan;
if(pointCloud)
{
int32_t points = 0;
ArPointCloud_getNumberOfPoints(arSession_, pointCloud, &points);
const float * pointCloudData = 0;
ArPointCloud_getData(arSession_, pointCloud, &pointCloudData);
#ifndef DISABLE_LOG
LOGI("pointCloudData=%d size=%d", pointCloudData?1:0, points);
#endif
if(pointCloudData && points>0)
{
scan = scanFromPointCloudData(pointCloudData, points, poseArCore, model, rgb, &kpts, &kpts3);
}
}
else
{
LOGI("pointCloud empty");
}
data = SensorData(scan, rgb, depthFromMotion_?getOcclusionImage():cv::Mat(), model, 0, stamp);
data.setFeatures(kpts, kpts3, cv::Mat());
}
}
else
{
LOGE("CameraARCore: cannot convert image format %d", format);
}
}
else
{
LOGE("CameraARCore: failed to get rgb image (status=%d)", (int)status);
}
ArImage_release(image);
ArPointCloud_release(pointCloud);
}
}
ArCamera_release(ar_camera);
return data;
}
void CameraARCore::capturePoseOnly()
{
UScopeMutex lock(arSessionMutex_);
//LOGI("Capturing image...");
if(!arSession_)
{
return;
}
if(textureId_ != 0)
{
glBindTexture(GL_TEXTURE_EXTERNAL_OES, textureId_);
glTexParameteri(GL_TEXTURE_EXTERNAL_OES, GL_TEXTURE_WRAP_S, GL_CLAMP_TO_EDGE);
glTexParameteri(GL_TEXTURE_EXTERNAL_OES, GL_TEXTURE_WRAP_T, GL_CLAMP_TO_EDGE);
glTexParameteri(GL_TEXTURE_EXTERNAL_OES, GL_TEXTURE_MIN_FILTER, GL_NEAREST);
glTexParameteri(GL_TEXTURE_EXTERNAL_OES, GL_TEXTURE_MAG_FILTER, GL_NEAREST);
ArSession_setCameraTextureName(arSession_, textureId_);
}
// Update session to get current frame and render camera background.
if (ArSession_update(arSession_, arFrame_) != AR_SUCCESS) {
LOGE("CameraARCore::capturePoseOnly() ArSession_update error");
return;
}
// If display rotation changed (also includes view size change), we need to
// re-query the uv coordinates for the on-screen portion of the camera image.
int32_t geometry_changed = 0;
ArFrame_getDisplayGeometryChanged(arSession_, arFrame_, &geometry_changed);
if (geometry_changed != 0 || !uvs_initialized_) {
ArFrame_transformCoordinates2d(
arSession_, arFrame_, AR_COORDINATES_2D_OPENGL_NORMALIZED_DEVICE_COORDINATES,
BackgroundRenderer::kNumVertices, BackgroundRenderer_kVertices, AR_COORDINATES_2D_TEXTURE_NORMALIZED,
transformed_uvs_);
UASSERT(transformed_uvs_);
uvs_initialized_ = true;
}
ArCamera* ar_camera;
ArFrame_acquireCamera(arSession_, arFrame_, &ar_camera);
ArCamera_getViewMatrix(arSession_, ar_camera, glm::value_ptr(viewMatrix_));
ArCamera_getProjectionMatrix(arSession_, ar_camera,
/*near=*/0.1f, /*far=*/100.f,
glm::value_ptr(projectionMatrix_));
// adjust origin
if(!getOriginOffset().isNull())
{
viewMatrix_ = glm::inverse(rtabmap::glmFromTransform(rtabmap::opengl_world_T_rtabmap_world * getOriginOffset() *rtabmap::rtabmap_world_T_opengl_world)*glm::inverse(viewMatrix_));
}
ArTrackingState camera_tracking_state;
ArCamera_getTrackingState(arSession_, ar_camera, &camera_tracking_state);
Transform pose;
CameraModel model;
if(camera_tracking_state == AR_TRACKING_STATE_TRACKING)
{
// pose in OpenGL coordinates
float pose_raw[7];
ArCamera_getPose(arSession_, ar_camera, arPose_);
ArPose_getPoseRaw(arSession_, arPose_, pose_raw);
pose = Transform(pose_raw[4], pose_raw[5], pose_raw[6], pose_raw[0], pose_raw[1], pose_raw[2], pose_raw[3]);
if(!pose.isNull())
{
pose = rtabmap::rtabmap_world_T_opengl_world * pose * rtabmap::opengl_world_T_rtabmap_world;
this->poseReceived(pose);
if(!getOriginOffset().isNull())
{
pose = getOriginOffset() * pose;
}
}
int32_t is_depth_supported = 0;
ArSession_isDepthModeSupported(arSession_, AR_DEPTH_MODE_AUTOMATIC, &is_depth_supported);
if(is_depth_supported)
{
LOGD("Acquire depth image!");
ArImage * depthImage = nullptr;
ArFrame_acquireDepthImage(arSession_, arFrame_, &depthImage);
ArImageFormat format;
ArImage_getFormat(arSession_, depthImage, &format);
if(format == AR_IMAGE_FORMAT_DEPTH16)
{
LOGD("Depth format detected!");
int planeCount;
ArImage_getNumberOfPlanes(arSession_, depthImage, &planeCount);
LOGD("planeCount=%d", planeCount);
UASSERT_MSG(planeCount == 1, uFormat("Error: getNumberOfPlanes() planceCount = %d", planeCount).c_str());
const uint8_t *data = nullptr;
int len = 0;
int stride;
int width;
int height;
ArImage_getWidth(arSession_, depthImage, &width);
ArImage_getHeight(arSession_, depthImage, &height);
ArImage_getPlaneRowStride(arSession_, depthImage, 0, &stride);
ArImage_getPlaneData(arSession_, depthImage, 0, &data, &len);
LOGD("width=%d, height=%d, bytes=%d stride=%d", width, height, len, stride);
cv::Mat occlusionImage = cv::Mat(height, width, CV_16UC1, (void*)data).clone();
float fx,fy, cx, cy;
int32_t rgb_width, rgb_height;
ArCamera_getImageIntrinsics(arSession_, ar_camera, arCameraIntrinsics_);
ArCameraIntrinsics_getFocalLength(arSession_, arCameraIntrinsics_, &fx, &fy);
ArCameraIntrinsics_getPrincipalPoint(arSession_, arCameraIntrinsics_, &cx, &cy);
ArCameraIntrinsics_getImageDimensions(arSession_, arCameraIntrinsics_, &rgb_width, &rgb_height);
float scaleX = (float)width / (float)rgb_width;
float scaleY = (float)height / (float)rgb_height;
CameraModel occlusionModel(fx*scaleX, fy*scaleY, cx*scaleX, cy*scaleY, pose*deviceTColorCamera_, 0, cv::Size(width, height));
this->setOcclusionImage(occlusionImage, occlusionModel);
}
ArImage_release(depthImage);
}
}
ArCamera_release(ar_camera);
}
} /* namespace rtabmap */

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@@ -0,0 +1,103 @@
/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef CAMERAARCORE_H_
#define CAMERAARCORE_H_
#include "CameraMobile.h"
#include <rtabmap/core/Camera.h>
#include <rtabmap/core/GeodeticCoords.h>
#include <rtabmap/utilite/UMutex.h>
#include <rtabmap/utilite/USemaphore.h>
#include <rtabmap/utilite/UEventsSender.h>
#include <rtabmap/utilite/UThread.h>
#include <rtabmap/utilite/UEvent.h>
#include <rtabmap/utilite/UTimer.h>
#include <boost/thread/mutex.hpp>
#include <background_renderer.h>
#include <arcore_c_api.h>
#include <camera/NdkCameraDevice.h>
#include <camera/NdkCameraManager.h>
#include <media/NdkImageReader.h>
#include <android/native_window.h>
namespace rtabmap {
class CameraARCore : public CameraMobile {
public:
static LaserScan scanFromPointCloudData(
const float * pointCloudData,
int points,
const Transform & pose,
const CameraModel & model,
const cv::Mat & rgb,
std::vector<cv::KeyPoint> * kpts = 0,
std::vector<cv::Point3f> * kpts3D = 0);
public:
CameraARCore(void* env, void* context, void* activity, bool depthFromMotion = false, bool smoothing = false);
virtual ~CameraARCore();
bool uvsInitialized() const {return uvs_initialized_;}
const float* uvsTransformed() const {return transformed_uvs_;}
void getVPMatrices(glm::mat4 & view, glm::mat4 & projection) const {view=viewMatrix_; projection=projectionMatrix_;}
virtual void setScreenRotationAndSize(ScreenRotation colorCameraToDisplayRotation, int width, int height);
virtual bool init(const std::string & calibrationFolder = ".", const std::string & cameraName = "");
void setupGL();
virtual void close(); // close Tango connection
virtual std::string getSerial() const;
GLuint getTextureId() const {return textureId_;}
void imageCallback(AImageReader *reader);
protected:
virtual SensorData captureImage(CameraInfo * info = 0); // should be called in opengl thread
virtual void capturePoseOnly();
private:
rtabmap::Transform getPoseAtTimestamp(double timestamp);
private:
void * env_;
void * context_;
void * activity_;
ArSession* arSession_ = nullptr;
ArConfig* arConfig_ = nullptr;
ArFrame* arFrame_ = nullptr;
ArCameraIntrinsics *arCameraIntrinsics_ = nullptr;
ArPose * arPose_ = nullptr;
bool arInstallRequested_;
UMutex arSessionMutex_;
bool depthFromMotion_;
};
} /* namespace rtabmap */
#endif /* CAMERAARCORE_H_ */

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/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include "CameraAREngine.h"
#include "util.h"
#include "rtabmap/utilite/ULogger.h"
#include "rtabmap/core/util3d_transforms.h"
#include "rtabmap/core/OdometryEvent.h"
#include "rtabmap/core/util2d.h"
#include <media/NdkImage.h>
namespace rtabmap {
//////////////////////////////
// CameraAREngine
//////////////////////////////
CameraAREngine::CameraAREngine(void* env, void* context, void* activity, bool smoothing):
CameraMobile(smoothing),
env_(env),
context_(context),
activity_(activity),
arInstallRequested_(false)
{
glGenTextures(1, &textureId_);
}
CameraAREngine::~CameraAREngine() {
// Disconnect ARCore service
close();
glDeleteTextures(1, &textureId_);
}
std::string CameraAREngine::getSerial() const
{
return "AREngine";
}
bool CameraAREngine::init(const std::string & calibrationFolder, const std::string & cameraName)
{
close();
UScopeMutex lock(arSessionMutex_);
HwArInstallStatus install_status;
// If install was not yet requested, that means that we are resuming the
// activity first time because of explicit user interaction (such as
// launching the application)
bool user_requested_install = !arInstallRequested_;
// === ATTENTION! ATTENTION! ATTENTION! ===
// This method can and will fail in user-facing situations. Your
// application must handle these cases at least somewhat gracefully. See
// HelloAR Java sample code for reasonable behavior.
HwArEnginesApk_requestInstall(env_, activity_, user_requested_install, &install_status);
switch (install_status)
{
case HWAR_INSTALL_STATUS_INSTALLED:
break;
case HWAR_INSTALL_STATUS_INSTALL_REQUESTED:
arInstallRequested_ = true;
return false;
}
// === ATTENTION! ATTENTION! ATTENTION! ===
// This method can and will fail in user-facing situations. Your
// application must handle these cases at least somewhat gracefully. See
// HelloAR Java sample code for reasonable behavior.
UASSERT(HwArSession_create(env_, context_, &arSession_) == HWAR_SUCCESS);
UASSERT(arSession_);
HwArConfig_create(arSession_, &arConfig_);
UASSERT(arConfig_);
HwArConfig_setFocusMode(arSession_, arConfig_, HWAR_FOCUS_MODE_FIXED);
UASSERT(HwArSession_configure(arSession_, arConfig_) == HWAR_SUCCESS);
HwArFrame_create(arSession_, &arFrame_);
UASSERT(arFrame_);
HwArCameraIntrinsics_create(arSession_, &arCameraIntrinsics_); // May fail?!
//UASSERT(arCameraIntrinsics_);
HwArPose_create(arSession_, nullptr, &arPose_);
UASSERT(arPose_);
/// Sets the behavior of @ref ArSession_update(). See
/// ::ArUpdateMode for available options.
HwArConfig_setUpdateMode(arSession_, arConfig_, HWAR_UPDATE_MODE_BLOCKING);
deviceTColorCamera_ = opticalRotation;
// Required as ArSession_update does some off-screen OpenGL stuff...
HwArSession_setCameraTextureName(arSession_, textureId_);
if (HwArSession_resume(arSession_) != HWAR_SUCCESS)
{
UERROR("Cannot resume camera!");
// In a rare case (such as another camera app launching) the camera may be
// given to a different app and so may not be available to this app. Handle
// this properly and recreate the session at the next iteration.
close();
return false;
}
return true;
}
void CameraAREngine::close()
{
UScopeMutex lock(arSessionMutex_);
if (arCameraIntrinsics_ != nullptr)
{
HwArCameraIntrinsics_destroy(arSession_, arCameraIntrinsics_);
}
arCameraIntrinsics_ = nullptr;
if(arSession_!= nullptr)
{
HwArSession_destroy(arSession_);
}
arSession_ = nullptr;
if(arConfig_!= nullptr)
{
HwArConfig_destroy(arConfig_);
}
arConfig_ = nullptr;
if (arFrame_ != nullptr)
{
HwArFrame_destroy(arFrame_);
}
arFrame_ = nullptr;
if (arPose_ != nullptr)
{
HwArPose_destroy(arPose_);
}
arPose_ = nullptr;
CameraMobile::close();
}
SensorData CameraAREngine::captureImage(CameraInfo * info)
{
UScopeMutex lock(arSessionMutex_);
//LOGI("Capturing image...");
SensorData data;
if(!arSession_)
{
return data;
}
// Update session to get current frame and render camera background.
if (HwArSession_update(arSession_, arFrame_) != HWAR_SUCCESS) {
LOGE("CameraAREngine::captureImage() ArSession_update error");
return data;
}
HwArCamera* ar_camera;
HwArFrame_acquireCamera(arSession_, arFrame_, &ar_camera);
HwArTrackingState camera_tracking_state;
HwArCamera_getTrackingState(arSession_, ar_camera, &camera_tracking_state);
Transform pose;
if(camera_tracking_state == HWAR_TRACKING_STATE_TRACKING)
{
// pose in OpenGL coordinates
float pose_raw[7];
HwArCamera_getPose(arSession_, ar_camera, arPose_);
HwArPose_getPoseRaw(arSession_, arPose_, pose_raw);
pose = Transform(pose_raw[4], pose_raw[5], pose_raw[6], pose_raw[0], pose_raw[1], pose_raw[2], pose_raw[3]);
// Get calibration parameters
// FIXME: Hard-coded as getting intrinsics with the api fails
float fx=492.689667,fy=492.606201, cx=323.594849, cy=234.659744;
int32_t camWidth=640, camHeight=480;
//HwArCamera_getImageIntrinsics(arSession_, ar_camera, arCameraIntrinsics_);
//HwArCameraIntrinsics_getFocalLength(arSession_, arCameraIntrinsics_, &fx, &fy);
//HwArCameraIntrinsics_getPrincipalPoint(arSession_, arCameraIntrinsics_, &cx, &cy);
//HwArCameraIntrinsics_getImageDimensions(arSession_, arCameraIntrinsics_, &camWidth, &camHeight);
LOGI("%f %f %f %f %d %d", fx, fy, cx, cy, camWidth, camHeight);
if(fx > 0 && fy > 0 && camWidth > 0 && camHeight > 0 && cx > 0 && cy > 0)
{
//ArPointCloud * point_cloud;
//ArFrame_acquirePointCloud(ar_session_, ar_frame_, &point_cloud);
HwArImage * image = nullptr;
HwArImage * depthImage = nullptr;
HwArStatus statusRgb = HwArFrame_acquireCameraImage(arSession_, arFrame_, &image);
HwArStatus statusDepth = HwArFrame_acquireDepthImage(arSession_, arFrame_, &depthImage);
if(statusRgb == HWAR_SUCCESS && statusDepth == HWAR_SUCCESS)
{
int64_t timestamp_ns;
HwArFrame_getTimestamp(arSession_, arFrame_, &timestamp_ns);
int planeCount;
uint8_t *imageData = nullptr;
int len = 0;
int stride;
int width;
int height;
const AImage* ndkImageRGB;
HwArImage_getNdkImage(image, &ndkImageRGB);
AImage_getNumberOfPlanes(ndkImageRGB, &planeCount);
AImage_getWidth(ndkImageRGB, &width);
AImage_getHeight(ndkImageRGB, &height);
AImage_getPlaneRowStride(ndkImageRGB, 0, &stride);
AImage_getPlaneData(ndkImageRGB, 0, &imageData, &len);
LOGI("RGB: width=%d, height=%d, bytes=%d stride=%d planeCount=%d", width, height, len, stride, planeCount);
cv::Mat outputRGB;
if(imageData != nullptr && len>0)
{
cv::cvtColor(cv::Mat(height+height/2, width, CV_8UC1, (void*)imageData), outputRGB, CV_YUV2BGR_NV21);
}
//Depth
const AImage* ndkImageDepth;
HwArImage_getNdkImage(depthImage, &ndkImageDepth);
AImage_getNumberOfPlanes(ndkImageDepth, &planeCount);
AImage_getWidth(ndkImageDepth, &width);
AImage_getHeight(ndkImageDepth, &height);
AImage_getPlaneRowStride(ndkImageDepth, 0, &stride);
AImage_getPlaneData(ndkImageDepth, 0, &imageData, &len);
LOGI("Depth: width=%d, height=%d, bytes=%d stride=%d planeCount=%d", width, height, len, stride, planeCount);
cv::Mat outputDepth(height, width, CV_16UC1);
uint16_t *dataShort = (uint16_t *)imageData;
for (int y = 0; y < outputDepth.rows; ++y)
{
for (int x = 0; x < outputDepth.cols; ++x)
{
uint16_t depthSample = dataShort[y*outputDepth.cols + x];
uint16_t depthRange = (depthSample & 0x1FFF); // first 3 bits are confidence
outputDepth.at<uint16_t>(y,x) = depthRange;
}
}
if(!outputRGB.empty() && !outputDepth.empty())
{
double stamp = double(timestamp_ns)/10e8;
CameraModel model = CameraModel(fx, fy, cx, cy, deviceTColorCamera_, 0, cv::Size(camWidth, camHeight));
data = SensorData(outputRGB, outputDepth, model, 0, stamp);
}
}
else
{
LOGE("CameraAREngine: failed to get rgb image (status=%d %d)", (int)statusRgb, (int)statusDepth);
}
HwArImage_release(image);
HwArImage_release(depthImage);
}
else
{
LOGE("Invalid intrinsics!");
}
}
HwArCamera_release(ar_camera);
if(pose.isNull())
{
LOGE("CameraAREngine: Pose is null");
}
else
{
pose = rtabmap::rtabmap_world_T_opengl_world * pose * rtabmap::opengl_world_T_rtabmap_world;
this->poseReceived(pose);
// adjust origin
if(!getOriginOffset().isNull())
{
pose = getOriginOffset() * pose;
}
info->odomPose = pose;
}
return data;
}
void CameraAREngine::capturePoseOnly()
{
UScopeMutex lock(arSessionMutex_);
//LOGI("Capturing image...");
SensorData data;
if(!arSession_)
{
return;
}
// Update session to get current frame and render camera background.
if (HwArSession_update(arSession_, arFrame_) != HWAR_SUCCESS) {
LOGE("CameraARCore::captureImage() ArSession_update error");
return;
}
HwArCamera* ar_camera;
HwArFrame_acquireCamera(arSession_, arFrame_, &ar_camera);
HwArTrackingState camera_tracking_state;
HwArCamera_getTrackingState(arSession_, ar_camera, &camera_tracking_state);
Transform pose;
CameraModel model;
if(camera_tracking_state == HWAR_TRACKING_STATE_TRACKING)
{
// pose in OpenGL coordinates
float pose_raw[7];
HwArCamera_getPose(arSession_, ar_camera, arPose_);
HwArPose_getPoseRaw(arSession_, arPose_, pose_raw);
pose = Transform(pose_raw[4], pose_raw[5], pose_raw[6], pose_raw[0], pose_raw[1], pose_raw[2], pose_raw[3]);
if(!pose.isNull())
{
pose = rtabmap::rtabmap_world_T_opengl_world * pose * rtabmap::opengl_world_T_rtabmap_world;
this->poseReceived(pose);
}
}
HwArCamera_release(ar_camera);
}
} /* namespace rtabmap */

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@@ -0,0 +1,78 @@
/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef CAMERAARENGINE_H_
#define CAMERAARENGINE_H_
#include "CameraMobile.h"
#include <rtabmap/core/Camera.h>
#include <rtabmap/core/GeodeticCoords.h>
#include <rtabmap/utilite/UMutex.h>
#include <rtabmap/utilite/USemaphore.h>
#include <rtabmap/utilite/UEventsSender.h>
#include <rtabmap/utilite/UThread.h>
#include <rtabmap/utilite/UEvent.h>
#include <rtabmap/utilite/UTimer.h>
#include <boost/thread/mutex.hpp>
#include <huawei_arengine_interface.h>
namespace rtabmap {
class CameraAREngine : public CameraMobile {
public:
CameraAREngine(void* env, void* context, void* activity, bool smoothing = false);
virtual ~CameraAREngine();
virtual bool init(const std::string & calibrationFolder = ".", const std::string & cameraName = "");
virtual void close(); // close Tango connection
virtual std::string getSerial() const;
protected:
virtual SensorData captureImage(CameraInfo * info = 0);
virtual void capturePoseOnly();
private:
rtabmap::Transform getPoseAtTimestamp(double timestamp);
private:
void * env_;
void * context_;
void * activity_;
HwArSession* arSession_ = nullptr;
HwArConfig* arConfig_ = nullptr;
HwArFrame* arFrame_ = nullptr;
HwArCameraIntrinsics *arCameraIntrinsics_ = nullptr;
HwArPose * arPose_ = nullptr;
bool arInstallRequested_;
GLuint textureId_;
UMutex arSessionMutex_;
};
} /* namespace rtabmap */
#endif /* CAMERAARENGINE_H_ */

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@@ -0,0 +1,461 @@
/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include "CameraMobile.h"
#include "util.h"
#include "rtabmap/utilite/ULogger.h"
#include "rtabmap/core/util3d_transforms.h"
#include "rtabmap/core/OdometryEvent.h"
#include "rtabmap/core/util2d.h"
#include <glm/gtx/transform.hpp>
namespace rtabmap {
#define nullptr 0
//////////////////////////////
// CameraMobile
//////////////////////////////
const float CameraMobile::bilateralFilteringSigmaS = 2.0f;
const float CameraMobile::bilateralFilteringSigmaR = 0.075f;
const rtabmap::Transform CameraMobile::opticalRotation = Transform(
0.0f, 0.0f, 1.0f, 0.0f,
-1.0f, 0.0f, 0.0f, 0.0f,
0.0f, -1.0f, 0.0f, 0.0f);
const rtabmap::Transform CameraMobile::opticalRotationInv = Transform(
0.0f, -1.0f, 0.0f, 0.0f,
0.0f, 0.0f, -1.0f, 0.0f,
1.0f, 0.0f, 0.0f, 0.0f);
CameraMobile::CameraMobile(bool smoothing) :
Camera(10),
deviceTColorCamera_(Transform::getIdentity()),
spinOncePreviousStamp_(0.0),
textureId_(0),
uvs_initialized_(false),
previousStamp_(0.0),
stampEpochOffset_(0.0),
smoothing_(smoothing),
colorCameraToDisplayRotation_(ROTATION_0),
originUpdate_(false)
{
}
CameraMobile::~CameraMobile() {
// Disconnect camera service
close();
}
bool CameraMobile::init(const std::string &, const std::string &)
{
deviceTColorCamera_ = opticalRotation;
return true;
}
void CameraMobile::close()
{
previousPose_.setNull();
previousStamp_ = 0.0;
lastKnownGPS_ = GPS();
lastEnvSensors_.clear();
originOffset_ = Transform();
originUpdate_ = false;
pose_ = Transform();
data_ = SensorData();
if(textureId_ != 0)
{
glDeleteTextures(1, &textureId_);
textureId_ = 0;
}
}
void CameraMobile::resetOrigin()
{
previousPose_.setNull();
previousStamp_ = 0.0;
lastKnownGPS_ = GPS();
lastEnvSensors_.clear();
pose_ = Transform();
data_ = SensorData();
originUpdate_ = true;
}
void CameraMobile::poseReceived(const Transform & pose)
{
if(!pose.isNull())
{
// send pose of the camera (without optical rotation)
Transform p = pose*deviceTColorCamera_;
if(originUpdate_)
{
originOffset_ = p.translation().inverse();
originUpdate_ = false;
}
if(!originOffset_.isNull())
{
this->post(new PoseEvent(originOffset_*p));
}
else
{
this->post(new PoseEvent(p));
}
}
}
bool CameraMobile::isCalibrated() const
{
return model_.isValidForProjection();
}
void CameraMobile::setGPS(const GPS & gps)
{
lastKnownGPS_ = gps;
}
void CameraMobile::setData(const SensorData & data, const Transform & pose, const glm::mat4 & viewMatrix, const glm::mat4 & projectionMatrix, const float * texCoord)
{
LOGD("CameraMobile::setData pose=%s stamp=%f", pose.prettyPrint().c_str(), data.stamp());
data_ = data;
pose_ = pose;
viewMatrix_ = viewMatrix;
projectionMatrix_ = projectionMatrix;
// adjust origin
if(!originOffset_.isNull())
{
pose_ = originOffset_ * pose_;
viewMatrix_ = glm::inverse(rtabmap::glmFromTransform(rtabmap::opengl_world_T_rtabmap_world * originOffset_ *rtabmap::rtabmap_world_T_opengl_world)*glm::inverse(viewMatrix_));
}
if(textureId_ == 0)
{
glGenTextures(1, &textureId_);
}
if(texCoord)
{
memcpy(transformed_uvs_, texCoord, 8*sizeof(float));
uvs_initialized_ = true;
}
LOGD("CameraMobile::setData textureId_=%d", (int)textureId_);
if(textureId_ != 0 && texCoord != 0)
{
cv::Mat rgbImage;
cv::cvtColor(data.imageRaw(), rgbImage, CV_BGR2RGBA);
glBindTexture(GL_TEXTURE_2D, textureId_);
glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_LINEAR);
glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_LINEAR);
glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_WRAP_S, GL_CLAMP_TO_EDGE);
glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_WRAP_T, GL_CLAMP_TO_EDGE);
glPixelStorei(GL_UNPACK_ALIGNMENT, 4);
//glPixelStorei(GL_UNPACK_ROW_LENGTH, 0);
//glPixelStorei(GL_UNPACK_SKIP_PIXELS, 0);
//glPixelStorei(GL_UNPACK_SKIP_ROWS, 0);
glTexImage2D(GL_TEXTURE_2D, 0, GL_RGBA, rgbImage.cols, rgbImage.rows, 0, GL_RGBA, GL_UNSIGNED_BYTE, rgbImage.data);
GLint error = glGetError();
if(error != GL_NO_ERROR)
{
LOGE("OpenGL: Could not allocate texture (0x%x)\n", error);
textureId_ = 0;
return;
}
}
}
void CameraMobile::addEnvSensor(int type, float value)
{
lastEnvSensors_.insert(std::make_pair((EnvSensor::Type)type, EnvSensor((EnvSensor::Type)type, value)));
}
void CameraMobile::spinOnce()
{
if(!this->isRunning())
{
bool ignoreFrame = false;
//float rate = 10.0f; // maximum 10 FPS for image data
double now = UTimer::now();
/*if(rate>0.0f)
{
if((spinOncePreviousStamp_>=0.0 && now>spinOncePreviousStamp_ && now - spinOncePreviousStamp_ < 1.0f/rate) ||
((spinOncePreviousStamp_<=0.0 || now<=spinOncePreviousStamp_) && spinOnceFrameRateTimer_.getElapsedTime() < 1.0f/rate))
{
ignoreFrame = true;
}
}*/
if(!ignoreFrame)
{
spinOnceFrameRateTimer_.start();
spinOncePreviousStamp_ = now;
mainLoop();
}
else
{
// just send pose
capturePoseOnly();
}
}
}
void CameraMobile::mainLoopBegin()
{
double t = cameraStartedTime_.elapsed();
if(t < 5.0)
{
uSleep((5.0-t)*1000); // just to make sure that the camera is started
}
}
void CameraMobile::mainLoop()
{
CameraInfo info;
SensorData data = this->captureImage(&info);
if(data.isValid() && !info.odomPose.isNull())
{
if(lastKnownGPS_.stamp() > 0.0 && data.stamp()-lastKnownGPS_.stamp()<1.0)
{
data.setGPS(lastKnownGPS_);
}
else if(lastKnownGPS_.stamp()>0.0)
{
LOGD("GPS too old (current time=%f, gps time = %f)", data.stamp(), lastKnownGPS_.stamp());
}
if(lastEnvSensors_.size())
{
data.setEnvSensors(lastEnvSensors_);
lastEnvSensors_.clear();
}
if(smoothing_ && !data.depthRaw().empty())
{
//UTimer t;
data.setDepthOrRightRaw(rtabmap::util2d::fastBilateralFiltering(data.depthRaw(), bilateralFilteringSigmaS, bilateralFilteringSigmaR));
//LOGD("Bilateral filtering, time=%fs", t.ticks());
}
// Rotate image depending on the camera orientation
if(colorCameraToDisplayRotation_ == ROTATION_90)
{
UDEBUG("ROTATION_90");
cv::Mat rgb, depth;
cv::Mat rgbt(data.imageRaw().cols, data.imageRaw().rows, data.imageRaw().type());
cv::flip(data.imageRaw(),rgb,1);
cv::transpose(rgb,rgbt);
rgb = rgbt;
cv::Mat deptht(data.depthRaw().cols, data.depthRaw().rows, data.depthRaw().type());
cv::flip(data.depthRaw(),depth,1);
cv::transpose(depth,deptht);
depth = deptht;
CameraModel model = data.cameraModels()[0];
cv::Size sizet(model.imageHeight(), model.imageWidth());
model = CameraModel(
model.fy(),
model.fx(),
model.cy(),
model.cx()>0?model.imageWidth()-model.cx():0,
model.localTransform()*rtabmap::Transform(0,-1,0,0, 1,0,0,0, 0,0,1,0));
model.setImageSize(sizet);
data.setRGBDImage(rgb, depth, model);
std::vector<cv::KeyPoint> keypoints = data.keypoints();
for(size_t i=0; i<keypoints.size(); ++i)
{
keypoints[i].pt.x = data.keypoints()[i].pt.y;
keypoints[i].pt.y = rgb.rows - data.keypoints()[i].pt.x;
}
data.setFeatures(keypoints, data.keypoints3D(), cv::Mat());
}
else if(colorCameraToDisplayRotation_ == ROTATION_180)
{
UDEBUG("ROTATION_180");
cv::Mat rgb, depth;
cv::flip(data.imageRaw(),rgb,1);
cv::flip(rgb,rgb,0);
cv::flip(data.depthOrRightRaw(),depth,1);
cv::flip(depth,depth,0);
CameraModel model = data.cameraModels()[0];
cv::Size sizet(model.imageWidth(), model.imageHeight());
model = CameraModel(
model.fx(),
model.fy(),
model.cx()>0?model.imageWidth()-model.cx():0,
model.cy()>0?model.imageHeight()-model.cy():0,
model.localTransform()*rtabmap::Transform(0,0,0,0,0,1,0));
model.setImageSize(sizet);
data.setRGBDImage(rgb, depth, model);
std::vector<cv::KeyPoint> keypoints = data.keypoints();
for(size_t i=0; i<keypoints.size(); ++i)
{
keypoints[i].pt.x = rgb.cols - data.keypoints()[i].pt.x;
keypoints[i].pt.y = rgb.rows - data.keypoints()[i].pt.y;
}
data.setFeatures(keypoints, data.keypoints3D(), cv::Mat());
}
else if(colorCameraToDisplayRotation_ == ROTATION_270)
{
UDEBUG("ROTATION_270");
cv::Mat rgb(data.imageRaw().cols, data.imageRaw().rows, data.imageRaw().type());
cv::transpose(data.imageRaw(),rgb);
cv::flip(rgb,rgb,1);
cv::Mat depth(data.depthOrRightRaw().cols, data.depthOrRightRaw().rows, data.depthOrRightRaw().type());
cv::transpose(data.depthOrRightRaw(),depth);
cv::flip(depth,depth,1);
CameraModel model = data.cameraModels()[0];
cv::Size sizet(model.imageHeight(), model.imageWidth());
model = CameraModel(
model.fy(),
model.fx(),
model.cy()>0?model.imageHeight()-model.cy():0,
model.cx(),
model.localTransform()*rtabmap::Transform(0,1,0,0, -1,0,0,0, 0,0,1,0));
model.setImageSize(sizet);
data.setRGBDImage(rgb, depth, model);
std::vector<cv::KeyPoint> keypoints = data.keypoints();
for(size_t i=0; i<keypoints.size(); ++i)
{
keypoints[i].pt.x = rgb.cols - data.keypoints()[i].pt.y;
keypoints[i].pt.y = data.keypoints()[i].pt.x;
}
data.setFeatures(keypoints, data.keypoints3D(), cv::Mat());
}
rtabmap::Transform pose = info.odomPose;
data.setGroundTruth(Transform());
// convert stamp to epoch
bool firstFrame = previousPose_.isNull();
if(firstFrame)
{
stampEpochOffset_ = UTimer::now()-data.stamp();
}
data.setStamp(stampEpochOffset_ + data.stamp());
OdometryInfo info;
if(!firstFrame)
{
info.interval = data.stamp()-previousStamp_;
info.transform = previousPose_.inverse() * pose;
}
// linear cov = 0.0001
info.reg.covariance = cv::Mat::eye(6,6,CV_64FC1) * (firstFrame?9999.0:0.0001);
if(!firstFrame)
{
// angular cov = 0.000001
info.reg.covariance.at<double>(3,3) *= 0.01;
info.reg.covariance.at<double>(4,4) *= 0.01;
info.reg.covariance.at<double>(5,5) *= 0.01;
}
LOGI("Publish odometry message (variance=%f)", firstFrame?9999:0.0001);
this->post(new OdometryEvent(data, pose, info));
previousPose_ = pose;
previousStamp_ = data.stamp();
}
else if(!this->isKilled() && info.odomPose.isNull())
{
LOGW("Odometry lost");
this->post(new OdometryEvent());
}
}
SensorData CameraMobile::captureImage(CameraInfo * info)
{
if(info)
{
info->odomPose = pose_;
}
return data_;
}
LaserScan CameraMobile::scanFromPointCloudData(
const cv::Mat & pointCloudData,
int points,
const Transform & pose,
const CameraModel & model,
const cv::Mat & rgb,
std::vector<cv::KeyPoint> * kpts,
std::vector<cv::Point3f> * kpts3D,
int kptsSize)
{
if(!pointCloudData.empty())
{
cv::Mat scanData(1, pointCloudData.cols, CV_32FC4);
float * ptr = scanData.ptr<float>();
const float * inPtr = pointCloudData.ptr<float>();
int ic = pointCloudData.channels();
UASSERT(pointCloudData.depth() == CV_32F && ic >= 3);
int oi = 0;
for(unsigned int i=0;i<points; ++i)
{
cv::Point3f pt(inPtr[i*ic], inPtr[i*ic + 1], inPtr[i*ic + 2]);
pt = util3d::transformPoint(pt, pose.inverse()*rtabmap_world_T_opengl_world);
ptr[oi*4] = pt.x;
ptr[oi*4 + 1] = pt.y;
ptr[oi*4 + 2] = pt.z;
//get color from rgb image
cv::Point3f org= pt;
pt = util3d::transformPoint(pt, opticalRotationInv);
int u,v;
model.reproject(pt.x, pt.y, pt.z, u, v);
unsigned char r=255,g=255,b=255;
if(model.inFrame(u, v))
{
b=rgb.at<cv::Vec3b>(v,u).val[0];
g=rgb.at<cv::Vec3b>(v,u).val[1];
r=rgb.at<cv::Vec3b>(v,u).val[2];
if(kpts)
kpts->push_back(cv::KeyPoint(u,v,kptsSize));
if(kpts3D)
kpts3D->push_back(org);
*(int*)&ptr[oi*4 + 3] = int(b) | (int(g) << 8) | (int(r) << 16);
++oi;
}
//confidence
//*(int*)&ptr[i*4 + 3] = (int(pointCloudData[i*4 + 3] * 255.0f) << 8) | (int(255) << 16);
}
return LaserScan::backwardCompatibility(scanData.colRange(0, oi), 0, 10, rtabmap::Transform::getIdentity());
}
return LaserScan();
}
} /* namespace rtabmap */

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/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef CAMERAMOBILE_H_
#define CAMERAMOBILE_H_
#include <rtabmap/core/Camera.h>
#include <rtabmap/core/GeodeticCoords.h>
#include <rtabmap/utilite/UMutex.h>
#include <rtabmap/utilite/USemaphore.h>
#include <rtabmap/utilite/UEventsSender.h>
#include <rtabmap/utilite/UThread.h>
#include <rtabmap/utilite/UEvent.h>
#include <rtabmap/utilite/UTimer.h>
#include <boost/thread/mutex.hpp>
#include "util.h"
namespace rtabmap {
class CameraInfoEvent: public UEvent
{
public:
CameraInfoEvent(int type, const std::string & key, const std::string & value) : type_(type), key_(key), value_(value) {}
virtual std::string getClassName() const {return "CameraInfoEvent";}
int type() const {return type_;}
const std::string & key() const {return key_;}
const std::string & value() const {return value_;}
private:
int type_;
std::string key_;
std::string value_;
};
class PoseEvent: public UEvent
{
public:
PoseEvent(const Transform & pose) : pose_(pose) {}
virtual std::string getClassName() const {return "PoseEvent";}
const Transform & pose() const {return pose_;}
private:
Transform pose_;
};
class CameraMobile : public Camera, public UThread, public UEventsSender {
public:
static const float bilateralFilteringSigmaS;
static const float bilateralFilteringSigmaR;
static const rtabmap::Transform opticalRotation;
static const rtabmap::Transform opticalRotationInv;
public:
static LaserScan scanFromPointCloudData(
const cv::Mat & pointCloudData,
int points,
const Transform & pose,
const CameraModel & model,
const cv::Mat & rgb,
std::vector<cv::KeyPoint> * kpts = 0,
std::vector<cv::Point3f> * kpts3D = 0,
int kptsSize = 3);
public:
CameraMobile(bool smoothing = false);
virtual ~CameraMobile();
// abstract functions
virtual bool init(const std::string & calibrationFolder = ".", const std::string & cameraName = "");
virtual void close(); // inherited classes should call its parent in their close().
virtual std::string getSerial() const {return "CameraMobile";}
const Transform & getOriginOffset() const {return originOffset_;} // in rtabmap frame
void resetOrigin();
virtual bool isCalibrated() const;
void poseReceived(const Transform & pose); // in rtabmap frame
const CameraModel & getCameraModel() const {return model_;}
const Transform & getDeviceTColorCamera() const {return deviceTColorCamera_;}
void setSmoothing(bool enabled) {smoothing_ = enabled;}
virtual void setScreenRotationAndSize(ScreenRotation colorCameraToDisplayRotation, int width, int height) {colorCameraToDisplayRotation_ = colorCameraToDisplayRotation;}
void setGPS(const GPS & gps);
void addEnvSensor(int type, float value);
void setData(const SensorData & data, const Transform & pose, const glm::mat4 & viewMatrix, const glm::mat4 & projectionMatrix, const float * texCoord);
void spinOnce(); // Should only be called if not thread is not running, otherwise it does nothing
GLuint getTextureId() {return textureId_;}
bool uvsInitialized() const {return uvs_initialized_;}
const float* uvsTransformed() const {return transformed_uvs_;}
void getVPMatrices(glm::mat4 & view, glm::mat4 & projection) const {view=viewMatrix_; projection=projectionMatrix_;}
ScreenRotation getScreenRotation() const {return colorCameraToDisplayRotation_;}
void setOcclusionImage(const cv::Mat & image, const CameraModel & model) {occlusionModel_ = model; occlusionImage_ = image;}
const cv::Mat & getOcclusionImage(CameraModel * model=0) const {if(model)*model=occlusionModel_; return occlusionImage_; }
protected:
virtual SensorData captureImage(CameraInfo * info = 0);
virtual void capturePoseOnly() {}
virtual void mainLoopBegin();
virtual void mainLoop();
protected:
CameraModel model_; // local transform is the device to camera optical rotation in rtabmap frame
Transform deviceTColorCamera_; // device to camera optical rotation in rtabmap frame
UTimer spinOnceFrameRateTimer_;
double spinOncePreviousStamp_;
GLuint textureId_;
glm::mat4 viewMatrix_;
glm::mat4 projectionMatrix_;
float transformed_uvs_[8];
bool uvs_initialized_ = false;
private:
Transform previousPose_;
double previousStamp_;
UTimer cameraStartedTime_;
double stampEpochOffset_;
bool smoothing_;
ScreenRotation colorCameraToDisplayRotation_;
GPS lastKnownGPS_;
EnvSensors lastEnvSensors_;
Transform originOffset_;
bool originUpdate_;
SensorData data_;
Transform pose_;
cv::Mat occlusionImage_;
CameraModel occlusionModel_;
};
} /* namespace rtabmap */
#endif /* CAMERATANGO_H_ */

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/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include "CameraTango.h"
#include "util.h"
#include "rtabmap/utilite/ULogger.h"
#include "rtabmap/core/util3d_transforms.h"
#include "rtabmap/core/OdometryEvent.h"
#include "rtabmap/core/util2d.h"
#include <tango_client_api.h>
#include <tango_support_api.h>
#include "tango-gl/camera.h"
namespace rtabmap {
#define nullptr 0
const int kVersionStringLength = 128;
const int holeSize = 5;
const float maxDepthError = 0.10;
const int scanDownsampling = 1;
//android phone
//11 10 01 00 // portrait
//01 11 00 10 // left
//10 00 11 01 // right
//00 01 10 11 // down
const float kTextureCoords0[] = {1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0};
const float kTextureCoords90[] = {0.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0};
const float kTextureCoords180[] = {0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 1.0, 1.0};
const float kTextureCoords270[] = {1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 1.0};
// Callbacks
void onPointCloudAvailableRouter(void* context, const TangoPointCloud* point_cloud)
{
CameraTango* app = static_cast<CameraTango*>(context);
if(point_cloud->num_points>0)
{
app->cloudReceived(cv::Mat(1, point_cloud->num_points, CV_32FC4, point_cloud->points[0]), point_cloud->timestamp);
}
}
void onFrameAvailableRouter(void* context, TangoCameraId id, const TangoImageBuffer* color)
{
CameraTango* app = static_cast<CameraTango*>(context);
cv::Mat tangoImage;
if(color->format == TANGO_HAL_PIXEL_FORMAT_RGBA_8888)
{
tangoImage = cv::Mat(color->height, color->width, CV_8UC4, color->data);
}
else if(color->format == TANGO_HAL_PIXEL_FORMAT_YV12)
{
tangoImage = cv::Mat(color->height+color->height/2, color->width, CV_8UC1, color->data);
}
else if(color->format == TANGO_HAL_PIXEL_FORMAT_YCrCb_420_SP)
{
tangoImage = cv::Mat(color->height+color->height/2, color->width, CV_8UC1, color->data);
}
else if(color->format == 35)
{
tangoImage = cv::Mat(color->height+color->height/2, color->width, CV_8UC1, color->data);
}
else
{
LOGE("Not supported color format : %d.", color->format);
}
if(!tangoImage.empty())
{
app->rgbReceived(tangoImage, (unsigned int)color->format, color->timestamp);
}
}
void onPoseAvailableRouter(void* context, const TangoPoseData* pose)
{
if(pose->status_code == TANGO_POSE_VALID)
{
CameraTango* app = static_cast<CameraTango*>(context);
app->poseReceived(rtabmap_world_T_tango_world * app->tangoPoseToTransform(pose) * tango_device_T_rtabmap_world);
}
}
void onTangoEventAvailableRouter(void* context, const TangoEvent* event)
{
CameraTango* app = static_cast<CameraTango*>(context);
app->tangoEventReceived(event->type, event->event_key, event->event_value);
}
//////////////////////////////
// CameraTango
//////////////////////////////
CameraTango::CameraTango(bool colorCamera, int decimation, bool publishRawScan, bool smoothing) :
CameraMobile(smoothing),
tango_config_(0),
colorCamera_(colorCamera),
decimation_(decimation),
rawScanPublished_(publishRawScan),
tangoColorType_(0),
tangoColorStamp_(0)
{
UASSERT(decimation >= 1);
}
CameraTango::~CameraTango() {
// Disconnect Tango service
close();
}
// Compute fisheye distorted coordinates from undistorted coordinates.
// The distortion model used by the Tango fisheye camera is called FOV and is
// described in 'Straight lines have to be straight' by Frederic Devernay and
// Olivier Faugeras. See https://hal.inria.fr/inria-00267247/document.
// Tango ROS Streamer: https://github.com/Intermodalics/tango_ros/blob/master/tango_ros_common/tango_ros_native/src/tango_ros_node.cpp
void applyFovModel(
double xu, double yu, double w, double w_inverse, double two_tan_w_div_two,
double* xd, double* yd) {
double ru = sqrt(xu * xu + yu * yu);
constexpr double epsilon = 1e-7;
if (w < epsilon || ru < epsilon) {
*xd = xu;
*yd = yu ;
} else {
double rd_div_ru = std::atan(ru * two_tan_w_div_two) * w_inverse / ru;
*xd = xu * rd_div_ru;
*yd = yu * rd_div_ru;
}
}
// Compute the warp maps to undistort the Tango fisheye image using the FOV
// model. See OpenCV documentation for more information on warp maps:
// http://docs.opencv.org/2.4/modules/imgproc/doc/geometric_transformations.html
// Tango ROS Streamer: https://github.com/Intermodalics/tango_ros/blob/master/tango_ros_common/tango_ros_native/src/tango_ros_node.cpp
// @param fisheyeModel the fisheye camera intrinsics.
// @param mapX the output map for the x direction.
// @param mapY the output map for the y direction.
void initFisheyeRectificationMap(
const CameraModel& fisheyeModel,
cv::Mat & mapX, cv::Mat & mapY) {
const double & fx = fisheyeModel.K().at<double>(0,0);
const double & fy = fisheyeModel.K().at<double>(1,1);
const double & cx = fisheyeModel.K().at<double>(0,2);
const double & cy = fisheyeModel.K().at<double>(1,2);
const double & w = fisheyeModel.D().at<double>(0,0);
mapX.create(fisheyeModel.imageSize(), CV_32FC1);
mapY.create(fisheyeModel.imageSize(), CV_32FC1);
LOGD("initFisheyeRectificationMap: fx=%f fy=%f, cx=%f, cy=%f, w=%f", fx, fy, cx, cy, w);
// Pre-computed variables for more efficiency.
const double fy_inverse = 1.0 / fy;
const double fx_inverse = 1.0 / fx;
const double w_inverse = 1 / w;
const double two_tan_w_div_two = 2.0 * std::tan(w * 0.5);
// Compute warp maps in x and y directions.
// OpenCV expects maps from dest to src, i.e. from undistorted to distorted
// pixel coordinates.
for(int iu = 0; iu < fisheyeModel.imageHeight(); ++iu) {
for (int ju = 0; ju < fisheyeModel.imageWidth(); ++ju) {
double xu = (ju - cx) * fx_inverse;
double yu = (iu - cy) * fy_inverse;
double xd, yd;
applyFovModel(xu, yu, w, w_inverse, two_tan_w_div_two, &xd, &yd);
double jd = cx + xd * fx;
double id = cy + yd * fy;
mapX.at<float>(iu, ju) = jd;
mapY.at<float>(iu, ju) = id;
}
}
}
bool CameraTango::init(const std::string & calibrationFolder, const std::string & cameraName)
{
close();
TangoSupport_initialize(TangoService_getPoseAtTime, TangoService_getCameraIntrinsics);
// Connect to Tango
LOGI("NativeRTABMap: Setup tango config");
tango_config_ = TangoService_getConfig(TANGO_CONFIG_DEFAULT);
if (tango_config_ == nullptr)
{
LOGE("NativeRTABMap: Failed to get default config form");
return false;
}
// Set auto-recovery for motion tracking as requested by the user.
bool is_atuo_recovery = true;
int ret = TangoConfig_setBool(tango_config_, "config_enable_auto_recovery", is_atuo_recovery);
if (ret != TANGO_SUCCESS)
{
LOGE("NativeRTABMap: config_enable_auto_recovery() failed with error code: %d", ret);
return false;
}
if(colorCamera_)
{
// Enable color.
ret = TangoConfig_setBool(tango_config_, "config_enable_color_camera", true);
if (ret != TANGO_SUCCESS)
{
LOGE("NativeRTABMap: config_enable_color_camera() failed with error code: %d", ret);
return false;
}
}
// Enable depth.
ret = TangoConfig_setBool(tango_config_, "config_enable_depth", true);
if (ret != TANGO_SUCCESS)
{
LOGE("NativeRTABMap: config_enable_depth() failed with error code: %d", ret);
return false;
}
// Need to specify the depth_mode as XYZC.
ret = TangoConfig_setInt32(tango_config_, "config_depth_mode", TANGO_POINTCLOUD_XYZC);
if (ret != TANGO_SUCCESS)
{
LOGE("Failed to set 'depth_mode' configuration flag with error code: %d", ret);
return false;
}
// Note that it's super important for AR applications that we enable low
// latency imu integration so that we have pose information available as
// quickly as possible. Without setting this flag, you'll often receive
// invalid poses when calling GetPoseAtTime for an image.
ret = TangoConfig_setBool(tango_config_, "config_enable_low_latency_imu_integration", true);
if (ret != TANGO_SUCCESS)
{
LOGE("NativeRTABMap: Failed to enable low latency imu integration.");
return false;
}
// Drift correction allows motion tracking to recover after it loses tracking.
//
// The drift corrected pose is is available through the frame pair with
// base frame AREA_DESCRIPTION and target frame DEVICE.
/*ret = TangoConfig_setBool(tango_config_, "config_enable_drift_correction", true);
if (ret != TANGO_SUCCESS) {
LOGE(
"NativeRTABMap: enabling config_enable_drift_correction "
"failed with error code: %d",
ret);
return false;
}*/
// Get TangoCore version string from service.
char tango_core_version[kVersionStringLength];
ret = TangoConfig_getString(tango_config_, "tango_service_library_version", tango_core_version, kVersionStringLength);
if (ret != TANGO_SUCCESS)
{
LOGE("NativeRTABMap: get tango core version failed with error code: %d", ret);
return false;
}
LOGI("NativeRTABMap: Tango version : %s", tango_core_version);
// Callbacks
LOGI("NativeRTABMap: Setup callbacks");
// Attach the OnXYZijAvailable callback.
// The callback will be called after the service is connected.
ret = TangoService_connectOnPointCloudAvailable(onPointCloudAvailableRouter);
if (ret != TANGO_SUCCESS)
{
LOGE("NativeRTABMap: Failed to connect to point cloud callback with error code: %d", ret);
return false;
}
ret = TangoService_connectOnFrameAvailable(colorCamera_?TANGO_CAMERA_COLOR:TANGO_CAMERA_FISHEYE, this, onFrameAvailableRouter);
if (ret != TANGO_SUCCESS)
{
LOGE("NativeRTABMap: Failed to connect to color callback with error code: %d", ret);
return false;
}
// Attach the onPoseAvailable callback.
// The callback will be called after the service is connected.
TangoCoordinateFramePair pair;
//pair.base = TANGO_COORDINATE_FRAME_AREA_DESCRIPTION; // drift correction is enabled
pair.base = TANGO_COORDINATE_FRAME_START_OF_SERVICE;
pair.target = TANGO_COORDINATE_FRAME_DEVICE;
ret = TangoService_connectOnPoseAvailable(1, &pair, onPoseAvailableRouter);
if (ret != TANGO_SUCCESS)
{
LOGE("NativeRTABMap: Failed to connect to pose callback with error code: %d", ret);
return false;
}
// Attach the onEventAvailable callback.
// The callback will be called after the service is connected.
ret = TangoService_connectOnTangoEvent(onTangoEventAvailableRouter);
if (ret != TANGO_SUCCESS)
{
LOGE("PointCloudApp: Failed to connect to event callback with error code: %d", ret);
return false;
}
// Now connect service so the callbacks above will be called
LOGI("NativeRTABMap: Connect to tango service");
ret = TangoService_connect(this, tango_config_);
if (ret != TANGO_SUCCESS)
{
LOGE("NativeRTABMap: Failed to connect to the Tango service with error code: %d", ret);
return false;
}
// update extrinsics
LOGI("NativeRTABMap: Update extrinsics");
TangoPoseData pose_data;
TangoCoordinateFramePair frame_pair;
// TangoService_getPoseAtTime function is used for query device extrinsics
// as well. We use timestamp 0.0 and the target frame pair to get the
// extrinsics from the sensors.
//
// Get color camera with respect to device transformation matrix.
frame_pair.base = TANGO_COORDINATE_FRAME_DEVICE;
frame_pair.target = colorCamera_?TANGO_COORDINATE_FRAME_CAMERA_COLOR:TANGO_COORDINATE_FRAME_CAMERA_FISHEYE;
ret = TangoService_getPoseAtTime(0.0, frame_pair, &pose_data);
if (ret != TANGO_SUCCESS)
{
LOGE("NativeRTABMap: Failed to get transform between the color camera frame and device frames");
return false;
}
deviceTColorCamera_ = rtabmap::Transform(
pose_data.translation[0],
pose_data.translation[1],
pose_data.translation[2],
pose_data.orientation[0],
pose_data.orientation[1],
pose_data.orientation[2],
pose_data.orientation[3]);
deviceTColorCamera_ = rtabmap_world_T_opengl_world * deviceTColorCamera_;
// camera intrinsic
TangoCameraIntrinsics color_camera_intrinsics;
ret = TangoService_getCameraIntrinsics(colorCamera_?TANGO_CAMERA_COLOR:TANGO_CAMERA_FISHEYE, &color_camera_intrinsics);
if (ret != TANGO_SUCCESS)
{
LOGE("NativeRTABMap: Failed to get the intrinsics for the color camera with error code: %d.", ret);
return false;
}
LOGD("Calibration: fx=%f fy=%f cx=%f cy=%f width=%d height=%d",
color_camera_intrinsics.fx,
color_camera_intrinsics.fy,
color_camera_intrinsics.cx,
color_camera_intrinsics.cy,
color_camera_intrinsics.width,
color_camera_intrinsics.height);
cv::Mat K = cv::Mat::eye(3, 3, CV_64FC1);
K.at<double>(0,0) = color_camera_intrinsics.fx;
K.at<double>(1,1) = color_camera_intrinsics.fy;
K.at<double>(0,2) = color_camera_intrinsics.cx;
K.at<double>(1,2) = color_camera_intrinsics.cy;
cv::Mat D = cv::Mat::zeros(1, 5, CV_64FC1);
LOGD("Calibration type = %d", color_camera_intrinsics.calibration_type);
if(color_camera_intrinsics.calibration_type == TANGO_CALIBRATION_POLYNOMIAL_5_PARAMETERS ||
color_camera_intrinsics.calibration_type == TANGO_CALIBRATION_EQUIDISTANT)
{
D.at<double>(0,0) = color_camera_intrinsics.distortion[0];
D.at<double>(0,1) = color_camera_intrinsics.distortion[1];
D.at<double>(0,2) = color_camera_intrinsics.distortion[2];
D.at<double>(0,3) = color_camera_intrinsics.distortion[3];
D.at<double>(0,4) = color_camera_intrinsics.distortion[4];
}
else if(color_camera_intrinsics.calibration_type == TANGO_CALIBRATION_POLYNOMIAL_3_PARAMETERS)
{
D.at<double>(0,0) = color_camera_intrinsics.distortion[0];
D.at<double>(0,1) = color_camera_intrinsics.distortion[1];
D.at<double>(0,2) = 0.;
D.at<double>(0,3) = 0.;
D.at<double>(0,4) = color_camera_intrinsics.distortion[2];
}
else if(color_camera_intrinsics.calibration_type == TANGO_CALIBRATION_POLYNOMIAL_2_PARAMETERS)
{
D.at<double>(0,0) = color_camera_intrinsics.distortion[0];
D.at<double>(0,1) = color_camera_intrinsics.distortion[1];
D.at<double>(0,2) = 0.;
D.at<double>(0,3) = 0.;
D.at<double>(0,4) = 0.;
}
cv::Mat R = cv::Mat::eye(3, 3, CV_64FC1);
cv::Mat P;
LOGD("Distortion params: %f, %f, %f, %f, %f", D.at<double>(0,0), D.at<double>(0,1), D.at<double>(0,2), D.at<double>(0,3), D.at<double>(0,4));
model_ = CameraModel(colorCamera_?"color":"fisheye",
cv::Size(color_camera_intrinsics.width, color_camera_intrinsics.height),
K, D, R, P,
deviceTColorCamera_);
if(!colorCamera_)
{
initFisheyeRectificationMap(model_, fisheyeRectifyMapX_, fisheyeRectifyMapY_);
}
LOGI("deviceTColorCameraRtabmap =%s", deviceTColorCamera_.prettyPrint().c_str());
return true;
}
void CameraTango::close()
{
if(tango_config_)
{
TangoConfig_free(tango_config_);
tango_config_ = nullptr;
LOGI("TangoService_disconnect()");
TangoService_disconnect();
LOGI("TangoService_disconnect() done.");
}
fisheyeRectifyMapX_ = cv::Mat();
fisheyeRectifyMapY_ = cv::Mat();
CameraMobile::close();
}
void CameraTango::cloudReceived(const cv::Mat & cloud, double timestamp)
{
if(!cloud.empty())
{
//LOGD("Depth received! %fs (%d points)", timestamp, cloud.cols);
UASSERT(cloud.type() == CV_32FC4);
boost::mutex::scoped_lock lock(dataMutex_);
// From post: http://stackoverflow.com/questions/29236110/timing-issues-with-tango-image-frames
// "In the current version of Project Tango Tablet RGB IR camera
// is used for both depth and color images and it can only do one
// or the other for each frame. So in the stream we get 4 RGB frames
// followed by 1 Depth frame resulting in the pattern you observed. This
// is more of a hardware limitation."
//
// So, synchronize with the last RGB frame before the Depth is acquired
if(!tangoColor_.empty())
{
UTimer timer;
double dt = fabs(timestamp - tangoColorStamp_);
//LOGD("Depth: %f vs %f = %f", tangoColorStamp_, timestamp, dt);
if(dt >= 0.0 && dt < 0.5)
{
bool notify = !data_.isValid();
cv::Mat tangoImage = tangoColor_;
cv::Mat rgb;
double cloudStamp = timestamp;
double rgbStamp = tangoColorStamp_;
int tangoColorType = tangoColorType_;
tangoColor_ = cv::Mat();
tangoColorStamp_ = 0.0;
tangoColorType_ = 0;
LOGD("tangoColorType=%d", tangoColorType);
if(tangoColorType == TANGO_HAL_PIXEL_FORMAT_RGBA_8888)
{
cv::cvtColor(tangoImage, rgb, CV_RGBA2BGR);
}
else if(tangoColorType == TANGO_HAL_PIXEL_FORMAT_YV12)
{
cv::cvtColor(tangoImage, rgb, CV_YUV2BGR_YV12);
}
else if(tangoColorType == TANGO_HAL_PIXEL_FORMAT_YCrCb_420_SP)
{
cv::cvtColor(tangoImage, rgb, CV_YUV2BGR_NV21);
}
else if(tangoColorType == 35)
{
cv::cvtColor(tangoImage, rgb, cv::COLOR_YUV420sp2GRAY);
}
else
{
LOGE("Not supported color format : %d.", tangoColorType);
data_ = SensorData();
return;
}
//for(int i=0; i<rgb.cols; ++i)
//{
// UERROR("%d,%d,%d", (int)rgb.at<cv::Vec3b>(i)[0], (int)rgb.at<cv::Vec3b>(i)[1], (int)rgb.at<cv::Vec3b>(i)[2]);
//}
CameraModel model = model_;
if(colorCamera_)
{
if(decimation_ > 1)
{
rgb = util2d::decimate(rgb, decimation_);
model = model.scaled(1.0/double(decimation_));
}
}
else
{
//UTimer t;
cv::Mat rgbRect;
cv::remap(rgb, rgbRect, fisheyeRectifyMapX_, fisheyeRectifyMapY_, cv::INTER_LINEAR, cv::BORDER_CONSTANT, 0);
rgb = rgbRect;
//LOGD("Rectification time=%fs", t.ticks());
}
// Querying the depth image's frame transformation based on the depth image's
// timestamp.
cv::Mat depth;
// Calculate the relative pose from color camera frame at timestamp
// color_timestamp t1 and depth
// camera frame at depth_timestamp t0.
Transform colorToDepth;
TangoPoseData pose_color_image_t1_T_depth_image_t0;
if (TangoSupport_calculateRelativePose(
rgbStamp, colorCamera_?TANGO_COORDINATE_FRAME_CAMERA_COLOR:TANGO_COORDINATE_FRAME_CAMERA_FISHEYE, cloudStamp,
TANGO_COORDINATE_FRAME_CAMERA_DEPTH,
&pose_color_image_t1_T_depth_image_t0) == TANGO_SUCCESS)
{
colorToDepth = tangoPoseToTransform(&pose_color_image_t1_T_depth_image_t0);
}
else
{
LOGE(
"SynchronizationApplication: Could not find a valid relative pose at "
"time for color and "
" depth cameras.");
}
if(colorToDepth.getNormSquared() > 100000)
{
LOGE("Very large color to depth error detected (%s)! Ignoring this frame!", colorToDepth.prettyPrint().c_str());
colorToDepth.setNull();
}
cv::Mat scan;
if(!colorToDepth.isNull())
{
// The Color Camera frame at timestamp t0 with respect to Depth
// Camera frame at timestamp t1.
//LOGD("colorToDepth=%s", colorToDepth.prettyPrint().c_str());
LOGD("rgb=%dx%d cloud size=%d", rgb.cols, rgb.rows, (int)cloud.total());
int pixelsSet = 0;
int depthSizeDec = colorCamera_?8:1;
depth = cv::Mat::zeros(model_.imageHeight()/depthSizeDec, model_.imageWidth()/depthSizeDec, CV_16UC1); // mm
CameraModel depthModel = model_.scaled(1.0f/float(depthSizeDec));
std::vector<cv::Point3f> scanData(rawScanPublished_?cloud.total():0);
int oi=0;
int closePoints = 0;
float closeROI[4];
closeROI[0] = depth.cols/4;
closeROI[1] = 3*(depth.cols/4);
closeROI[2] = depth.rows/4;
closeROI[3] = 3*(depth.rows/4);
unsigned short minDepthValue=10000;
for(unsigned int i=0; i<cloud.total(); ++i)
{
const float * p = cloud.ptr<float>(0,i);
cv::Point3f pt = util3d::transformPoint(cv::Point3f(p[0], p[1], p[2]), colorToDepth);
if(pt.z > 0.0f && i%scanDownsampling == 0 && rawScanPublished_)
{
scanData.at(oi++) = pt;
}
int pixel_x_l, pixel_y_l, pixel_x_h, pixel_y_h;
// get the coordinate on image plane.
pixel_x_l = static_cast<int>((depthModel.fx()) * (pt.x / pt.z) + depthModel.cx());
pixel_y_l = static_cast<int>((depthModel.fy()) * (pt.y / pt.z) + depthModel.cy());
pixel_x_h = static_cast<int>((depthModel.fx()) * (pt.x / pt.z) + depthModel.cx() + 0.5f);
pixel_y_h = static_cast<int>((depthModel.fy()) * (pt.y / pt.z) + depthModel.cy() + 0.5f);
unsigned short depth_value(pt.z * 1000.0f);
if(pixel_x_l>=closeROI[0] && pixel_x_l<closeROI[1] &&
pixel_y_l>closeROI[2] && pixel_y_l<closeROI[3] &&
depth_value < 600)
{
++closePoints;
if(depth_value < minDepthValue)
{
minDepthValue = depth_value;
}
}
bool pixelSet = false;
if(pixel_x_l>=0 && pixel_x_l<depth.cols &&
pixel_y_l>0 && pixel_y_l<depth.rows && // ignore first line
depth_value)
{
unsigned short & depthPixel = depth.at<unsigned short>(pixel_y_l, pixel_x_l);
if(depthPixel == 0 || depthPixel > depth_value)
{
depthPixel = depth_value;
pixelSet = true;
}
}
if(pixel_x_h>=0 && pixel_x_h<depth.cols &&
pixel_y_h>0 && pixel_y_h<depth.rows && // ignore first line
depth_value)
{
unsigned short & depthPixel = depth.at<unsigned short>(pixel_y_h, pixel_x_h);
if(depthPixel == 0 || depthPixel > depth_value)
{
depthPixel = depth_value;
pixelSet = true;
}
}
if(pixelSet)
{
pixelsSet += 1;
}
}
if(closePoints > 100)
{
this->post(new CameraInfoEvent(0, "TooClose", ""));
}
if(oi)
{
scan = cv::Mat(1, oi, CV_32FC3, scanData.data()).clone();
}
//LOGD("pixels depth set= %d", pixelsSet);
}
else
{
LOGE("color to depth pose is null?!? (rgb stamp=%f) (depth stamp=%f)", rgbStamp, cloudStamp);
}
if(!rgb.empty() && !depth.empty())
{
depth = rtabmap::util2d::fillDepthHoles(depth, holeSize, maxDepthError);
Transform odom = getPoseAtTimestamp(rgbStamp);
//LOGD("Local = %s", model.localTransform().prettyPrint().c_str());
//LOGD("tango = %s", poseDevice.prettyPrint().c_str());
//LOGD("opengl(t)= %s", (opengl_world_T_tango_world * poseDevice).prettyPrint().c_str());
// adjust origin
if(!getOriginOffset().isNull())
{
odom = getOriginOffset() * odom;
}
// occlusion depth
if(!depth.empty())
{
rtabmap::CameraModel depthModel = model.scaled(float(depth.cols) / float(model.imageWidth()));
depthModel.setLocalTransform(odom*model.localTransform());
this->setOcclusionImage(depth, depthModel);
}
//LOGD("rtabmap = %s", odom.prettyPrint().c_str());
//LOGD("opengl(r)= %s", (opengl_world_T_rtabmap_world * odom * rtabmap_device_T_opengl_device).prettyPrint().c_str());
Transform scanLocalTransform = model.localTransform();
if(rawScanPublished_)
{
data_ = SensorData(LaserScan::backwardCompatibility(scan, cloud.total()/scanDownsampling, 0, scanLocalTransform), rgb, depth, model, this->getNextSeqID(), rgbStamp);
}
else
{
data_ = SensorData(rgb, depth, model, this->getNextSeqID(), rgbStamp);
}
data_.setGroundTruth(odom);
}
else
{
LOGE("Could not get depth and rgb images!?!");
data_ = SensorData();
return;
}
if(notify)
{
dataReady_.release();
}
LOGD("process cloud received %fs", timer.ticks());
}
}
}
}
void CameraTango::rgbReceived(const cv::Mat & tangoImage, int type, double timestamp)
{
if(!tangoImage.empty())
{
//LOGD("RGB received! %fs", timestamp);
boost::mutex::scoped_lock lock(dataMutex_);
tangoColor_ = tangoImage.clone();
tangoColorStamp_ = timestamp;
tangoColorType_ = type;
}
}
void CameraTango::tangoEventReceived(int type, const char * key, const char * value)
{
this->post(new CameraInfoEvent(type, key, value));
}
std::string CameraTango::getSerial() const
{
return "Tango";
}
rtabmap::Transform CameraTango::tangoPoseToTransform(const TangoPoseData * tangoPose) const
{
UASSERT(tangoPose);
rtabmap::Transform pose;
pose = rtabmap::Transform(
tangoPose->translation[0],
tangoPose->translation[1],
tangoPose->translation[2],
tangoPose->orientation[0],
tangoPose->orientation[1],
tangoPose->orientation[2],
tangoPose->orientation[3]);
return pose;
}
rtabmap::Transform CameraTango::getPoseAtTimestamp(double timestamp)
{
rtabmap::Transform pose;
TangoPoseData pose_start_service_T_device;
TangoCoordinateFramePair frame_pair;
frame_pair.base = TANGO_COORDINATE_FRAME_START_OF_SERVICE;
frame_pair.target = TANGO_COORDINATE_FRAME_DEVICE;
TangoErrorType status = TangoService_getPoseAtTime(timestamp, frame_pair, &pose_start_service_T_device);
if (status != TANGO_SUCCESS)
{
LOGE(
"PoseData: Failed to get transform between the Start of service and "
"device frames at timestamp %lf",
timestamp);
}
if (pose_start_service_T_device.status_code != TANGO_POSE_VALID)
{
LOGW(
"PoseData: Failed to get transform between the Start of service and "
"device frames at timestamp %lf",
timestamp);
}
else
{
pose = rtabmap_world_T_tango_world * tangoPoseToTransform(&pose_start_service_T_device) * tango_device_T_rtabmap_world;
}
return pose;
}
SensorData CameraTango::captureImage(CameraInfo * info)
{
//LOGI("Capturing image...");
if(textureId_ == 0)
{
glGenTextures(1, &textureId_);
glBindTexture(GL_TEXTURE_EXTERNAL_OES, textureId_);
glTexParameteri(GL_TEXTURE_EXTERNAL_OES, GL_TEXTURE_WRAP_S, GL_CLAMP_TO_EDGE);
glTexParameteri(GL_TEXTURE_EXTERNAL_OES, GL_TEXTURE_WRAP_T, GL_CLAMP_TO_EDGE);
glTexParameteri(GL_TEXTURE_EXTERNAL_OES, GL_TEXTURE_MIN_FILTER, GL_NEAREST);
glTexParameteri(GL_TEXTURE_EXTERNAL_OES, GL_TEXTURE_MAG_FILTER, GL_NEAREST);
}
// Update Texture (optional, just for first-view rendering)
if(colorCamera_ && textureId_)
{
double video_overlay_timestamp;
TangoErrorType status = TangoService_updateTextureExternalOes(TANGO_CAMERA_COLOR, textureId_, &video_overlay_timestamp);
if (status == TANGO_SUCCESS)
{
if(info)
{
info->odomPose = getPoseAtTimestamp(video_overlay_timestamp);
}
int rotation = static_cast<int>(getScreenRotation()) + 1; // remove 90deg camera rotation
if (rotation > 3) {
rotation -= 4;
}
TangoDoubleMatrixTransformData matrix_transform;
status = TangoSupport_getDoubleMatrixTransformAtTime(
video_overlay_timestamp,
TANGO_COORDINATE_FRAME_CAMERA_COLOR,
TANGO_COORDINATE_FRAME_START_OF_SERVICE,
TANGO_SUPPORT_ENGINE_OPENGL,
TANGO_SUPPORT_ENGINE_OPENGL,
static_cast<TangoSupportRotation>(rotation),
&matrix_transform);
if (matrix_transform.status_code == TANGO_POSE_VALID)
{
// Get projection matrix
TangoCameraIntrinsics color_camera_intrinsics;
int ret = TangoSupport_getCameraIntrinsicsBasedOnDisplayRotation(
TANGO_CAMERA_COLOR,
static_cast<TangoSupportRotation>(rotation),
&color_camera_intrinsics);
if (ret == TANGO_SUCCESS) {
float image_width = static_cast<float>(color_camera_intrinsics.width);
float image_height = static_cast<float>(color_camera_intrinsics.height);
float fx = static_cast<float>(color_camera_intrinsics.fx);
float fy = static_cast<float>(color_camera_intrinsics.fy);
float cx = static_cast<float>(color_camera_intrinsics.cx);
float cy = static_cast<float>(color_camera_intrinsics.cy);
viewMatrix_ = glm::make_mat4(matrix_transform.matrix);
if(!getOriginOffset().isNull())
{
viewMatrix_ = glm::inverse(rtabmap::glmFromTransform(rtabmap::opengl_world_T_rtabmap_world * getOriginOffset() *rtabmap::rtabmap_world_T_opengl_world)*glm::inverse(viewMatrix_));
}
projectionMatrix_ = tango_gl::Camera::ProjectionMatrixForCameraIntrinsics(
image_width, image_height, fx, fy, cx, cy, 0.3, 50);
switch(rotation)
{
case ROTATION_90:
memcpy(transformed_uvs_, kTextureCoords90, 8*sizeof(float));
break;
case ROTATION_180:
memcpy(transformed_uvs_, kTextureCoords180, 8*sizeof(float));
break;
case ROTATION_270:
memcpy(transformed_uvs_, kTextureCoords270, 8*sizeof(float));
break;
case ROTATION_0:
default:
memcpy(transformed_uvs_, kTextureCoords0, 8*sizeof(float));
}
uvs_initialized_ = true;
}
else
{
UERROR("TangoSupport_getCameraIntrinsicsBasedOnDisplayRotation failed!");
}
}
else
{
UERROR("TangoSupport_getDoubleMatrixTransformAtTime failed!");
}
}
else
{
UERROR("TangoService_updateTextureExternalOes failed!");
}
}
SensorData data;
if(dataReady_.acquireTry(1))
{
boost::mutex::scoped_lock lock(dataMutex_);
data = data_;
data_ = SensorData();
if(info)
{
info->odomPose = data.groundTruth();
data.setGroundTruth(Transform());
}
}
return data;
}
} /* namespace rtabmap */

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/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef CAMERATANGO_H_
#define CAMERATANGO_H_
#include "CameraMobile.h"
#include <rtabmap/core/Camera.h>
#include <rtabmap/core/GeodeticCoords.h>
#include <rtabmap/utilite/UMutex.h>
#include <rtabmap/utilite/USemaphore.h>
#include <rtabmap/utilite/UEventsSender.h>
#include <rtabmap/utilite/UThread.h>
#include <rtabmap/utilite/UEvent.h>
#include <rtabmap/utilite/UTimer.h>
#include <boost/thread/mutex.hpp>
#include <tango_client_api.h>
#include <tango_support_api.h>
namespace rtabmap {
class CameraTango : public CameraMobile {
public:
CameraTango(bool colorCamera, int decimation, bool publishRawScan, bool smoothing);
virtual ~CameraTango();
virtual bool init(const std::string & calibrationFolder = ".", const std::string & cameraName = "");
virtual void close(); // close Tango connection
virtual std::string getSerial() const;
rtabmap::Transform tangoPoseToTransform(const TangoPoseData * tangoPose) const;
void setColorCamera(bool enabled) {if(!this->isRunning()) colorCamera_ = enabled;}
void setDecimation(int value) {decimation_ = value;}
void setRawScanPublished(bool enabled) {rawScanPublished_ = enabled;}
void cloudReceived(const cv::Mat & cloud, double timestamp);
void rgbReceived(const cv::Mat & tangoImage, int type, double timestamp);
void tangoEventReceived(int type, const char * key, const char * value);
protected:
virtual SensorData captureImage(CameraInfo * info = 0);
private:
rtabmap::Transform getPoseAtTimestamp(double timestamp);
private:
void * tango_config_;
bool colorCamera_;
int decimation_;
bool rawScanPublished_;
SensorData data_;
cv::Mat tangoColor_;
int tangoColorType_;
double tangoColorStamp_;
boost::mutex dataMutex_;
USemaphore dataReady_;
cv::Mat fisheyeRectifyMapX_;
cv::Mat fisheyeRectifyMapY_;
};
} /* namespace rtabmap */
#endif /* CAMERATANGO_H_ */

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/*
* ProgressionStatus.h
*
* Created on: Feb 28, 2017
* Author: mathieu
*/
#ifndef APP_ANDROID_JNI_PROGRESSIONSTATUS_H_
#define APP_ANDROID_JNI_PROGRESSIONSTATUS_H_
#include <rtabmap/core/ProgressState.h>
#include <rtabmap/utilite/ULogger.h>
#include <rtabmap/utilite/UEventsManager.h>
#ifdef __ANDROID__
#include <jni.h>
#endif
namespace rtabmap {
class ProgressEvent : public UEvent
{
public:
ProgressEvent(int count = 1) : count_(count){}
virtual std::string getClassName() const {return "ProgressEvent";}
int count_;
};
class ProgressionStatus: public ProgressState, public UEventsHandler
{
public:
ProgressionStatus() : count_(0), max_(100)
#ifdef __ANDROID__
, jvm_(0), rtabmap_(0)
#else
, swiftClassPtr_(0)
#endif
{
registerToEventsManager();
}
#ifdef __ANDROID__
void setJavaObjects(JavaVM * jvm, jobject rtabmap)
{
jvm_ = jvm;
rtabmap_ = rtabmap;
}
#else
void setSwiftCallback(void * classPtr, void(*callback)(void *, int, int))
{
swiftClassPtr_ = classPtr;
swiftCallback = callback;
}
#endif
void reset(int max)
{
count_=-1;
max_ = max;
setCanceled(false);
increment();
}
void setMax(int max)
{
max_ = max;
}
int getMax() const {return max_;}
void increment(int count = 1) const
{
UEventsManager::post(new ProgressEvent(count));
}
void finish()
{
}
virtual bool callback(const std::string & msg) const
{
if(!isCanceled())
{
increment();
}
return ProgressState::callback(msg);
}
virtual ~ProgressionStatus(){}
protected:
virtual bool handleEvent(UEvent * event)
{
if(event->getClassName().compare("ProgressEvent") == 0)
{
count_ += ((ProgressEvent*)event)->count_;
// Call JAVA callback
bool success = false;
#ifdef __ANDROID__
if(jvm_ && rtabmap_)
{
JNIEnv *env = 0;
jint rs = jvm_->AttachCurrentThread(&env, NULL);
if(rs == JNI_OK && env)
{
jclass clazz = env->GetObjectClass(rtabmap_);
if(clazz)
{
jmethodID methodID = env->GetMethodID(clazz, "updateProgressionCallback", "(II)V" );
if(methodID)
{
env->CallVoidMethod(rtabmap_, methodID,
count_,
max_);
success = true;
}
}
}
jvm_->DetachCurrentThread();
}
#else // APPLE
if(swiftClassPtr_)
{
std::function<void()> actualCallback = [&](){
swiftCallback(swiftClassPtr_, count_, max_);
};
actualCallback();
success = true;
}
#endif
if(!success)
{
UERROR("Failed to call rtabmap::updateProgressionCallback");
}
}
return false;
}
private:
int count_;
int max_;
#ifdef __ANDROID__
JavaVM *jvm_;
jobject rtabmap_;
#else
void * swiftClassPtr_;
void(*swiftCallback)(void *, int, int);
#endif
};
}
#endif /* APP_ANDROID_JNI_PROGRESSIONSTATUS_H_ */

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/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef RTABMAP_APP_H_
#define RTABMAP_APP_H_
#ifdef __ANDROID__
#include <jni.h>
#endif
#include <memory>
#include <tango-gl/util.h>
#include "scene.h"
#include "CameraMobile.h"
#include "util.h"
#include "ProgressionStatus.h"
#include <rtabmap/core/RtabmapThread.h>
#include <rtabmap/utilite/UEventsHandler.h>
#include <boost/thread/mutex.hpp>
#include <pcl/pcl_base.h>
#include <pcl/TextureMesh.h>
// RTABMapApp handles the application lifecycle and resources.
class RTABMapApp : public UEventsHandler {
public:
// Constructor and deconstructor.
#ifdef __ANDROID__
RTABMapApp(JNIEnv* env, jobject caller_activity);
#else // __APPLE__
RTABMapApp();
void setupSwiftCallbacks(void * classPtr,
void(*progressCallback)(void *, int, int),
void(*initCallback)(void *, int, const char*),
void(*statsUpdatedCallback)(void *,
int, int, int, int,
float,
int, int, int, int, int ,int,
float,
int,
float,
int,
float, float, float, float,
int, int,
float, float, float, float, float, float));
#endif
~RTABMapApp();
void setScreenRotation(int displayRotation, int cameraRotation);
int openDatabase(const std::string & databasePath, bool databaseInMemory, bool optimize, const std::string & databaseSource=std::string());
bool isBuiltWith(int cameraDriver) const;
#ifdef __ANDROID__
bool startCamera(JNIEnv* env, jobject iBinder, jobject context, jobject activity, int driver);
#else // __APPLE__
bool startCamera();
#endif
// Allocate OpenGL resources for rendering, mainly for initializing the Scene.
void InitializeGLContent();
// Setup the view port width and height.
void SetViewPort(int width, int height);
// Main render loop.
int Render();
void stopCamera();
// Set render camera's viewing angle, first person, third person or top down.
//
// @param: camera_type, camera type includes first person, third person and
// top down
void SetCameraType(tango_gl::GestureCamera::CameraType camera_type);
// Touch event passed from android activity. This function only supports two
// touches.
//
// @param: touch_count, total count for touches.
// @param: event, touch event of current touch.
// @param: x0, normalized touch location for touch 0 on x axis.
// @param: y0, normalized touch location for touch 0 on y axis.
// @param: x1, normalized touch location for touch 1 on x axis.
// @param: y1, normalized touch location for touch 1 on y axis.
void OnTouchEvent(int touch_count, tango_gl::GestureCamera::TouchEvent event,
float x0, float y0, float x1, float y1);
void setPausedMapping(bool paused);
void setOnlineBlending(bool enabled);
void setMapCloudShown(bool shown);
void setOdomCloudShown(bool shown);
void setMeshRendering(bool enabled, bool withTexture);
void setPointSize(float value);
void setFOV(float angle);
void setOrthoCropFactor(float value);
void setGridRotation(float value);
void setLighting(bool enabled);
void setBackfaceCulling(bool enabled);
void setWireframe(bool enabled);
void setLocalizationMode(bool enabled);
void setTrajectoryMode(bool enabled);
void setGraphOptimization(bool enabled);
void setNodesFiltering(bool enabled);
void setGraphVisible(bool visible);
void setGridVisible(bool visible);
void setRawScanSaved(bool enabled);
void setCameraColor(bool enabled);
void setFullResolution(bool enabled);
void setSmoothing(bool enabled);
void setDepthFromMotion(bool enabled);
void setAppendMode(bool enabled);
void setDataRecorderMode(bool enabled);
void setMaxCloudDepth(float value);
void setMinCloudDepth(float value);
void setCloudDensityLevel(int value);
void setMeshAngleTolerance(float value);
void setMeshDecimationFactor(float value);
void setMeshTriangleSize(int value);
void setClusterRatio(float value);
void setMaxGainRadius(float value);
void setRenderingTextureDecimation(int value);
void setBackgroundColor(float gray);
void setDepthConfidence(int value);
int setMappingParameter(const std::string & key, const std::string & value);
void setGPS(const rtabmap::GPS & gps);
void addEnvSensor(int type, float value);
void save(const std::string & databasePath);
void cancelProcessing();
bool exportMesh(
float cloudVoxelSize,
bool regenerateCloud,
bool meshing,
int textureSize,
int textureCount,
int normalK,
bool optimized,
float optimizedVoxelSize,
int optimizedDepth,
int optimizedMaxPolygons,
float optimizedColorRadius,
bool optimizedCleanWhitePolygons,
int optimizedMinClusterSize,
float optimizedMaxTextureDistance,
int optimizedMinTextureClusterSize,
bool blockRendering);
bool postExportation(bool visualize);
bool writeExportedMesh(const std::string & directory, const std::string & name);
int postProcessing(int approach);
void postCameraPoseEvent(
float x, float y, float z, float qx, float qy, float qz, float qw, double stamp);
void postOdometryEvent(
rtabmap::Transform pose,
float rgb_fx, float rgb_fy, float rgb_cx, float rgb_cy,
float depth_fx, float depth_fy, float depth_cx, float depth_cy,
const rtabmap::Transform & rgbFrame,
const rtabmap::Transform & depthFrame,
double stamp,
double depthStamp,
const void * yPlane, const void * uPlane, const void * vPlane, int yPlaneLen, int rgbWidth, int rgbHeight, int rgbFormat,
const void * depth, int depthLen, int depthWidth, int depthHeight, int depthFormat,
const void * conf, int confLen, int confWidth, int confHeight, int confFormat,
const float * points, int pointsLen, int pointsChannels,
const rtabmap::Transform & viewMatrix, //view matrix
float p00, float p11, float p02, float p12, float p22, float p32, float p23, // projection matrix
float t0, float t1, float t2, float t3, float t4, float t5, float t6, float t7); // tex coord
protected:
virtual bool handleEvent(UEvent * event);
private:
int updateMeshDecimation(int width, int height);
rtabmap::ParametersMap getRtabmapParameters();
bool smoothMesh(int id, rtabmap::Mesh & mesh);
void gainCompensation(bool full = false);
std::vector<pcl::Vertices> filterOrganizedPolygons(const std::vector<pcl::Vertices> & polygons, int cloudSize) const;
std::vector<pcl::Vertices> filterPolygons(const std::vector<pcl::Vertices> & polygons, int cloudSize) const;
private:
int cameraDriver_;
rtabmap::CameraMobile * camera_;
rtabmap::RtabmapThread * rtabmapThread_;
rtabmap::Rtabmap * rtabmap_;
rtabmap::LogHandler * logHandler_;
bool odomCloudShown_;
bool graphOptimization_;
bool nodesFiltering_;
bool localizationMode_;
bool trajectoryMode_;
bool rawScanSaved_;
bool smoothing_;
bool depthFromMotion_;
bool cameraColor_;
bool fullResolution_;
bool appendMode_;
float maxCloudDepth_;
float minCloudDepth_;
int cloudDensityLevel_;
int meshTrianglePix_;
float meshAngleToleranceDeg_;
float meshDecimationFactor_;
float clusterRatio_;
float maxGainRadius_;
int renderingTextureDecimation_;
float backgroundColor_;
int depthConfidence_;
rtabmap::ParametersMap mappingParameters_;
bool dataRecorderMode_;
bool clearSceneOnNextRender_;
bool openingDatabase_;
bool exporting_;
bool postProcessing_;
bool filterPolygonsOnNextRender_;
int gainCompensationOnNextRender_;
bool bilateralFilteringOnNextRender_;
bool takeScreenshotOnNextRender_;
bool cameraJustInitialized_;
int totalPoints_;
int totalPolygons_;
int lastDrawnCloudsCount_;
float renderingTime_;
double lastPostRenderEventTime_;
double lastPoseEventTime_;
std::map<std::string, float> bufferedStatsData_;
bool visualizingMesh_;
bool exportedMeshUpdated_;
pcl::TextureMesh::Ptr optMesh_;
cv::Mat optTexture_;
int optRefId_;
rtabmap::Transform * optRefPose_; // App crashes when loading native library if not dynamic
// main_scene_ includes all drawable object for visualizing Tango device's
// movement and point cloud.
Scene main_scene_;
std::list<rtabmap::RtabmapEvent*> rtabmapEvents_;
std::list<rtabmap::OdometryEvent> odomEvents_;
std::list<rtabmap::Transform> poseEvents_;
std::map<double, rtabmap::Transform> poseBuffer_;
rtabmap::Transform mapToOdom_;
boost::mutex cameraMutex_;
boost::mutex rtabmapMutex_;
boost::mutex meshesMutex_;
boost::mutex odomMutex_;
boost::mutex poseMutex_;
boost::mutex renderingMutex_;
USemaphore screenshotReady_;
std::map<int, rtabmap::Mesh> createdMeshes_;
std::map<int, rtabmap::Transform> rawPoses_;
std::pair<rtabmap::RtabmapEventInit::Status, std::string> status_;
rtabmap::ProgressionStatus progressionStatus_;
#ifndef __ANDROID__
void * swiftClassPtr_;
void(*swiftInitCallback)(void *, int, const char *);
void(*swiftStatsUpdatedCallback)(void *,
int, int, int, int,
float,
int, int, int, int, int ,int,
float,
int,
float,
int,
float, float, float, float,
int, int,
float, float, float, float, float, float);
#endif
};
#endif // TANGO_POINT_CLOUD_POINT_CLOUD_APP_H_

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/*
* Copyright 2018 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
// This modules handles drawing the passthrough camera image into the OpenGL
// scene.
#include "background_renderer.h"
#include <type_traits>
namespace {
const std::string kVertexShader =
"attribute vec4 a_Position;\n"
"attribute vec2 a_TexCoord;\n"
"varying vec2 v_TexCoord;\n"
"void main() {\n"
" gl_Position = a_Position;\n"
" v_TexCoord = a_TexCoord;\n"
"}\n";
const std::string kFragmentShaderOES =
"#extension GL_OES_EGL_image_external : require\n"
"precision mediump float;\n"
"varying vec2 v_TexCoord;\n"
"uniform samplerExternalOES sTexture;\n"
"uniform bool uRedUnknown;\n"
"void main() {\n"
" vec4 sample = texture2D(sTexture, v_TexCoord);\n"
" float grey = 0.21 * sample.r + 0.71 * sample.g + 0.07 * sample.b;\n"
" gl_FragColor = vec4(grey, uRedUnknown?0.0:grey, uRedUnknown?0.0:grey, 0.5);\n"
"}\n";
const std::string kFragmentShaderBlendingOES =
"#extension GL_OES_EGL_image_external : require\n"
"precision mediump float;\n"
"varying vec2 v_TexCoord;\n"
"uniform samplerExternalOES sTexture;\n"
"uniform sampler2D uDepthTexture;\n"
"uniform vec2 uScreenScale;\n"
"uniform bool uRedUnknown;\n"
"void main() {\n"
" vec4 sample = texture2D(sTexture, v_TexCoord);\n"
" vec2 coord = uScreenScale * gl_FragCoord.xy;\n;"
" vec4 depthPacked = texture2D(uDepthTexture, coord);\n"
" float depth = dot(depthPacked, 1./vec4(1.,255.,65025.,16581375.));\n"
" if(depth > 0.0)\n"
" gl_FragColor = vec4(sample.r, sample.g, sample.b, 0.5);\n"
" else {\n"
" float grey = 0.21 * sample.r + 0.71 * sample.g + 0.07 * sample.b;\n"
" gl_FragColor = vec4(grey, uRedUnknown?0.0:grey, uRedUnknown?0.0:grey, 0.5);\n"
" }\n"
"}\n";
const std::string kFragmentShader =
"precision mediump float;\n"
"varying vec2 v_TexCoord;\n"
"uniform sampler2D sTexture;\n"
"uniform bool uRedUnknown;\n"
"void main() {\n"
" vec4 sample = texture2D(sTexture, v_TexCoord);\n"
" float grey = 0.21 * sample.r + 0.71 * sample.g + 0.07 * sample.b;\n"
" gl_FragColor = vec4(grey, uRedUnknown?0.0:grey, uRedUnknown?0.0:grey, 0.5);\n"
"}\n";
const std::string kFragmentShaderBlending =
"precision mediump float;\n"
"varying vec2 v_TexCoord;\n"
"uniform sampler2D sTexture;\n"
"uniform sampler2D uDepthTexture;\n"
"uniform vec2 uScreenScale;\n"
"uniform bool uRedUnknown;\n"
"void main() {\n"
" vec4 sample = texture2D(sTexture, v_TexCoord);\n"
" vec2 coord = uScreenScale * gl_FragCoord.xy;\n;"
" vec4 depthPacked = texture2D(uDepthTexture, coord);\n"
" float depth = dot(depthPacked, 1./vec4(1.,255.,65025.,16581375.));\n"
" if(depth > 0.0)\n"
" gl_FragColor = vec4(sample.r, sample.g, sample.b, 0.5);\n"
" else {\n"
" float grey = 0.21 * sample.r + 0.71 * sample.g + 0.07 * sample.b;\n"
" gl_FragColor = vec4(grey, uRedUnknown?0.0:grey, uRedUnknown?0.0:grey, 0.5);\n"
" }\n"
"}\n";
/* To debug depth texture
const std::string kFragmentShader =
"precision mediump float;\n"
"varying vec2 v_TexCoord;\n"
"uniform sampler2D sTexture;\n"
"void main() {\n"
" float uNearZ = 0.2;\n"
" float uFarZ = 1000.0;\n"
" float depth = texture2D(sTexture, v_TexCoord).r;\n"
" float num = (2.0 * uNearZ * uFarZ);\n"
" float diff = (uFarZ - uNearZ);\n"
" float add = (uFarZ + uNearZ);\n"
" float ndcDepth = depth * 2.0 - 1.0;\n" // Back to NDC
" float linearDepth = num / (add - ndcDepth * diff);\n" // inverse projection matrix
" float grey = linearDepth/3.0;\n"
" gl_FragColor = vec4(grey, grey, grey, 0.5);\n"
"}\n";
*/
} // namespace
std::vector<GLuint> BackgroundRenderer::shaderPrograms_;
BackgroundRenderer::~BackgroundRenderer()
{
for(unsigned int i=0; i<shaderPrograms_.size(); ++i)
{
glDeleteShader(shaderPrograms_[i]);
}
shaderPrograms_.clear();
}
void BackgroundRenderer::InitializeGlContent(GLuint textureId, bool oes)
{
LOGI("textureId=%d", textureId);
texture_id_ = textureId;
#ifdef __ANDROID__
oes_ = oes;
#endif
if(shaderPrograms_.empty())
{
shaderPrograms_.resize(2,0);
shaderPrograms_[0] = tango_gl::util::CreateProgram(
kVertexShader.c_str(),
oes_?kFragmentShaderOES.c_str():kFragmentShader.c_str());
UASSERT(shaderPrograms_[0]!=0);
shaderPrograms_[1] = tango_gl::util::CreateProgram(
kVertexShader.c_str(),
oes_?kFragmentShaderBlendingOES.c_str():kFragmentShaderBlending.c_str());
UASSERT(shaderPrograms_[1]!=0);
}
}
void BackgroundRenderer::Draw(const float * transformed_uvs, const GLuint & depthTexture, int screenWidth, int screenHeight, bool redUnknown) {
static_assert(std::extent<decltype(BackgroundRenderer_kVertices)>::value == kNumVertices * 2, "Incorrect kVertices length");
GLuint program = shaderPrograms_[depthTexture>0?1:0];
glUseProgram(program);
glDepthMask(GL_FALSE);
glEnable (GL_BLEND);
glActiveTexture(GL_TEXTURE0);
#ifdef __ANDROID__
if(oes_)
glBindTexture(GL_TEXTURE_EXTERNAL_OES, texture_id_);
else
#endif
glBindTexture(GL_TEXTURE_2D, texture_id_);
if(depthTexture>0)
{
// Texture activate unit 1
glActiveTexture(GL_TEXTURE1);
// Bind the texture to this unit.
glBindTexture(GL_TEXTURE_2D, depthTexture);
// Tell the texture uniform sampler to use this texture in the shader by binding to texture unit 1.
GLuint depth_texture_handle = glGetUniformLocation(program, "uDepthTexture");
glUniform1i(depth_texture_handle, 1);
GLuint screenScale_handle = glGetUniformLocation(program, "uScreenScale");
glUniform2f(screenScale_handle, 1.0f/(float)screenWidth, 1.0f/(float)screenHeight);
}
GLuint screenScale_handle = glGetUniformLocation(program, "uRedUnknown");
glUniform1i(screenScale_handle, redUnknown);
GLuint attributeVertices = glGetAttribLocation(program, "a_Position");
GLuint attributeUvs = glGetAttribLocation(program, "a_TexCoord");
glVertexAttribPointer(attributeVertices, 2, GL_FLOAT, GL_FALSE, 0, BackgroundRenderer_kVertices);
glVertexAttribPointer(attributeUvs, 2, GL_FLOAT, GL_FALSE, 0, transformed_uvs?transformed_uvs:BackgroundRenderer_kTexCoord);
glEnableVertexAttribArray(attributeVertices);
glEnableVertexAttribArray(attributeUvs);
glDrawArrays(GL_TRIANGLE_STRIP, 0, 4);
glDisableVertexAttribArray(attributeVertices);
glDisableVertexAttribArray(attributeUvs);
glUseProgram(0);
glDepthMask(GL_TRUE);
glDisable (GL_BLEND);
tango_gl::util::CheckGlError("BackgroundRenderer::Draw() error");
}

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/*
* Copyright 2018 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef C_ARCORE_AUGMENTED_IMAGE_BACKGROUND_RENDERER_H_
#define C_ARCORE_AUGMENTED_IMAGE_BACKGROUND_RENDERER_H_
#ifdef __ANDROID__
#include <GLES2/gl2.h>
#include <GLES2/gl2ext.h>
#else // __APPLE__
#include <OpenGLES/ES2/gl.h>
#include <OpenGLES/ES2/glext.h>
#endif
#include <cstdlib>
#include "util.h"
static const GLfloat BackgroundRenderer_kVertices[] = {
-1.0f, -1.0f, +1.0f, -1.0f, -1.0f, +1.0f, +1.0f, +1.0f,
};
static const GLfloat BackgroundRenderer_kTexCoord[] = {
1.0f, 1.0f, 1.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f,
};
//android phone
//11 10 01 00 // portrait
//01 11 00 10 // left
//10 00 11 01 // right
//00 01 10 11 // down
// This class renders the passthrough camera image into the OpenGL frame.
class BackgroundRenderer {
public:
// Positions of the quad vertices in clip space (X, Y).
static constexpr int kNumVertices = 4;
public:
BackgroundRenderer() = default;
~BackgroundRenderer();
// Sets up OpenGL state. Must be called on the OpenGL thread and before any
// other methods below.
void InitializeGlContent(GLuint textureId, bool oes);
// Draws the background image. This methods must be called for every ArFrame
// returned by ArSession_update() to catch display geometry change events.
void Draw(const float * transformed_uvs, const GLuint & depthTexture, int screenWidth, int screenHeight, bool redUnknown);
private:
static std::vector<GLuint> shaderPrograms_;
GLuint texture_id_;
bool oes_ = false;
};
#endif // C_ARCORE_AUGMENTED_IMAGE_BACKGROUND_RENDERER_H_

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/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef BOUNDING_BOX_DRAWABLE_H_
#define BOUNDING_BOX_DRAWABLE_H_
#include "tango-gl/line.h"
class BoundingBoxDrawable : public tango_gl::Line
{
public:
BoundingBoxDrawable() :
Line(3.0f, GL_LINES)
{
vec_vertices_.resize(24);
}
void updateVertices(const pcl::PointXYZ & min, const pcl::PointXYZ & max)
{
int index = 0;
vec_vertices_[index].x = min.x;
vec_vertices_[index].y = min.y;
vec_vertices_[index++].z = min.z;
vec_vertices_[index].x = min.x;
vec_vertices_[index].y = max.y;
vec_vertices_[index++].z = min.z;
vec_vertices_[index].x = min.x;
vec_vertices_[index].y = min.y;
vec_vertices_[index++].z = min.z;
vec_vertices_[index].x = max.x;
vec_vertices_[index].y = min.y;
vec_vertices_[index++].z = min.z;
vec_vertices_[index].x = min.x;
vec_vertices_[index].y = min.y;
vec_vertices_[index++].z = min.z;
vec_vertices_[index].x = min.x;
vec_vertices_[index].y = min.y;
vec_vertices_[index++].z = max.z;
vec_vertices_[index].x = max.x;
vec_vertices_[index].y = max.y;
vec_vertices_[index++].z = max.z;
vec_vertices_[index].x = max.x;
vec_vertices_[index].y = min.y;
vec_vertices_[index++].z = max.z;
vec_vertices_[index].x = max.x;
vec_vertices_[index].y = max.y;
vec_vertices_[index++].z = max.z;
vec_vertices_[index].x = min.x;
vec_vertices_[index].y = max.y;
vec_vertices_[index++].z = max.z;
vec_vertices_[index].x = max.x;
vec_vertices_[index].y = max.y;
vec_vertices_[index++].z = max.z;
vec_vertices_[index].x = max.x;
vec_vertices_[index].y = max.y;
vec_vertices_[index++].z = min.z;
vec_vertices_[index].x = max.x;
vec_vertices_[index].y = min.y;
vec_vertices_[index++].z = min.z;
vec_vertices_[index].x = max.x;
vec_vertices_[index].y = min.y;
vec_vertices_[index++].z = max.z;
vec_vertices_[index].x = max.x;
vec_vertices_[index].y = min.y;
vec_vertices_[index++].z = min.z;
vec_vertices_[index].x = max.x;
vec_vertices_[index].y = max.y;
vec_vertices_[index++].z = min.z;
vec_vertices_[index].x = min.x;
vec_vertices_[index].y = max.y;
vec_vertices_[index++].z = min.z;
vec_vertices_[index].x = max.x;
vec_vertices_[index].y = max.y;
vec_vertices_[index++].z = min.z;
vec_vertices_[index].x = min.x;
vec_vertices_[index].y = max.y;
vec_vertices_[index++].z = min.z;
vec_vertices_[index].x = min.x;
vec_vertices_[index].y = max.y;
vec_vertices_[index++].z = max.z;
vec_vertices_[index].x = min.x;
vec_vertices_[index].y = min.y;
vec_vertices_[index++].z = max.z;
vec_vertices_[index].x = max.x;
vec_vertices_[index].y = min.y;
vec_vertices_[index++].z = max.z;
vec_vertices_[index].x = min.x;
vec_vertices_[index].y = min.y;
vec_vertices_[index++].z = max.z;
vec_vertices_[index].x = min.x;
vec_vertices_[index].y = max.y;
vec_vertices_[index++].z = max.z;
}
};
#endif // TANGO_GL_LINE_H_

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/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include <sstream>
#include "graph_drawable.h"
#include "rtabmap/utilite/ULogger.h"
#include "util.h"
#ifdef __ANDROID__
#include <GLES2/gl2.h>
#else //__APPLE__
#include <OpenGLES/ES2/gl.h>
#endif
GraphDrawable::GraphDrawable(
GLuint shaderProgram,
const std::map<int, rtabmap::Transform> & poses,
const std::multimap<int, rtabmap::Link> & links) :
vertex_buffers_(0),
pose_(1.0f),
visible_(true),
lineWidth_(3.0f),
shader_program_(shaderProgram)
{
UASSERT(!poses.empty());
glGenBuffers(1, &vertex_buffers_);
if(vertex_buffers_)
{
LOGI("Creating vertex buffer %d", vertex_buffers_);
std::vector<float> vertices = std::vector<float>(poses.size()*3);
int i=0;
std::map<int, int> idsToIndices;
for(std::map<int, rtabmap::Transform>::const_iterator iter=poses.begin(); iter!=poses.end(); ++iter)
{
vertices[i*3] = iter->second.x();
vertices[i*3+1] = iter->second.y();
vertices[i*3+2] = iter->second.z();
idsToIndices.insert(std::make_pair(iter->first, i));
++i;
}
glBindBuffer(GL_ARRAY_BUFFER, vertex_buffers_);
glBufferData(GL_ARRAY_BUFFER, sizeof(GLfloat) * (int)vertices.size(), (const void *)vertices.data(), GL_STATIC_DRAW);
glBindBuffer(GL_ARRAY_BUFFER, 0);
GLint error = glGetError();
if(error != GL_NO_ERROR)
{
LOGI("OpenGL: Could not allocate point cloud (0x%x)\n", error);
vertex_buffers_ = 0;
}
else if(links.size())
{
neighborIndices_.resize(links.size() * 2);
loopClosureIndices_.resize(links.size() * 2);
int oiNeighbors = 0;
int oiLoopClosures = 0;
for(std::multimap<int, rtabmap::Link>::const_iterator iter=links.begin(); iter!=links.end(); ++iter)
{
std::map<int, int>::const_iterator jterFrom = idsToIndices.find(iter->second.from());
std::map<int, int>::const_iterator jterTo = idsToIndices.find(iter->second.to());
if(jterFrom != idsToIndices.end() && jterTo != idsToIndices.end())
{
if(iter->second.type() == rtabmap::Link::kNeighbor)
{
neighborIndices_[oiNeighbors++] = (unsigned short)jterFrom->second;
neighborIndices_[oiNeighbors++] = (unsigned short)jterTo->second;
}
else
{
loopClosureIndices_[oiLoopClosures++] = (unsigned short)jterFrom->second;
loopClosureIndices_[oiLoopClosures++] = (unsigned short)jterTo->second;
}
}
}
neighborIndices_.resize(oiNeighbors);
loopClosureIndices_.resize(oiLoopClosures);
}
}
}
GraphDrawable::~GraphDrawable()
{
LOGI("Freeing cloud buffer %d", vertex_buffers_);
if (vertex_buffers_)
{
glDeleteBuffers(1, &vertex_buffers_);
tango_gl::util::CheckGlError("GraphDrawable::~GraphDrawable()");
vertex_buffers_ = 0;
}
}
void GraphDrawable::setPose(const rtabmap::Transform & pose)
{
UASSERT(!pose.isNull());
pose_ = glmFromTransform(pose);
}
void GraphDrawable::Render(const glm::mat4 & projectionMatrix, const glm::mat4 & viewMatrix) {
if(vertex_buffers_ && (neighborIndices_.size() || loopClosureIndices_.size()) && visible_)
{
glUseProgram(shader_program_);
glLineWidth(lineWidth_);
GLuint mvp_handle_ = glGetUniformLocation(shader_program_, "mvp");
glm::mat4 mvp_mat = projectionMatrix * viewMatrix * pose_;
glUniformMatrix4fv(mvp_handle_, 1, GL_FALSE, glm::value_ptr(mvp_mat));
GLuint color_handle = glGetUniformLocation(shader_program_, "color");
GLint attribute_vertex = glGetAttribLocation(shader_program_, "vertex");
glEnableVertexAttribArray(attribute_vertex);
glBindBuffer(GL_ARRAY_BUFFER, vertex_buffers_);
glVertexAttribPointer(attribute_vertex, 3, GL_FLOAT, GL_FALSE, 3*sizeof(GLfloat), 0);
if(neighborIndices_.size())
{
glUniform3f(color_handle, 1.0f, 0.0f, 0.0f); // blue for neighbors
glDrawElements(GL_LINES, neighborIndices_.size(), GL_UNSIGNED_SHORT, neighborIndices_.data());
}
if(loopClosureIndices_.size())
{
glUniform3f(color_handle, 0.0f, 0.0f, 1.0f); // red for loop closures
glDrawElements(GL_LINES, loopClosureIndices_.size(), GL_UNSIGNED_SHORT, loopClosureIndices_.data());
}
glDisableVertexAttribArray(0);
glBindBuffer(GL_ARRAY_BUFFER, 0);
glUseProgram(0);
tango_gl::util::CheckGlError("GraphDrawable::Render()");
}
}

View File

@@ -0,0 +1,68 @@
/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef GRAPH_DRAWABLE_H_
#define GRAPH_DRAWABLE_H_
#ifdef __ANDROID__
#include <jni.h>
#endif
#include <tango-gl/util.h>
#include <vector>
#include <pcl/point_cloud.h>
#include <pcl/point_types.h>
#include <rtabmap/core/Transform.h>
#include <rtabmap/core/Link.h>
#include <pcl/Vertices.h>
#include "util.h"
class GraphDrawable {
public:
GraphDrawable(
GLuint shaderProgram,
const std::map<int, rtabmap::Transform> & poses,
const std::multimap<int, rtabmap::Link> & links);
virtual ~GraphDrawable();
void setPose(const rtabmap::Transform & mapToOdom);
void setVisible(bool visible) {visible_=visible;}
void Render(const glm::mat4 & projectionMatrix, const glm::mat4 & viewMatrix);
private:
// Vertex buffer of the point cloud geometry.
GLuint vertex_buffers_;
std::vector<GLushort> neighborIndices_;
std::vector<GLushort> loopClosureIndices_;
glm::mat4 pose_;
bool visible_;
float lineWidth_;
GLuint shader_program_;
};
#endif // GRAPH_DRAWABLE_H_

View File

@@ -0,0 +1,969 @@
/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#define GLM_FORCE_RADIANS
#include <jni.h>
#include <RTABMapApp.h>
#include <scene.h>
#ifdef __cplusplus
extern "C" {
#endif
void GetJStringContent(JNIEnv *AEnv, jstring AStr, std::string &ARes) {
if (!AStr) {
ARes.clear();
return;
}
const char *s = AEnv->GetStringUTFChars(AStr,NULL);
ARes=s;
AEnv->ReleaseStringUTFChars(AStr,s);
}
inline jlong jptr(RTABMapApp *native_computer_vision_application) {
return reinterpret_cast<intptr_t>(native_computer_vision_application);
}
inline RTABMapApp *native(jlong ptr) {
return reinterpret_cast<RTABMapApp *>(ptr);
}
JNIEXPORT jlong JNICALL
Java_com_introlab_rtabmap_RTABMapLib_createNativeApplication(
JNIEnv* env, jclass, jobject activity)
{
return jptr(new RTABMapApp(env, activity));
}
JNIEXPORT void Java_com_introlab_rtabmap_RTABMapLib_destroyNativeApplication(
JNIEnv *, jclass, jlong native_application) {
if(native_application)
{
delete native(native_application);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setScreenRotation(
JNIEnv* env, jclass, jlong native_application, int displayRotation, int cameraRotation)
{
if(native_application)
{
return native(native_application)->setScreenRotation(displayRotation, cameraRotation);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT int JNICALL
Java_com_introlab_rtabmap_RTABMapLib_openDatabase(
JNIEnv* env, jclass, jlong native_application, jstring databasePath, bool databaseInMemory, bool optimize)
{
std::string databasePathC;
GetJStringContent(env,databasePath,databasePathC);
if(native_application)
{
return native(native_application)->openDatabase(databasePathC, databaseInMemory, optimize);
}
else
{
UERROR("native_application is null!");
return -1;
}
}
JNIEXPORT int JNICALL
Java_com_introlab_rtabmap_RTABMapLib_openDatabase2(
JNIEnv* env, jclass, jlong native_application, jstring databaseSource, jstring databasePath, bool databaseInMemory, bool optimize)
{
if(native_application)
{
std::string databasePathC;
GetJStringContent(env,databasePath,databasePathC);
std::string databaseSourceC;
GetJStringContent(env,databaseSource,databaseSourceC);
return native(native_application)->openDatabase(databasePathC, databaseInMemory, optimize, databaseSourceC);
}
else
{
UERROR("native_application is null!");
return -1;
}
}
JNIEXPORT bool JNICALL
Java_com_introlab_rtabmap_RTABMapLib_isBuiltWith(
JNIEnv* env, jclass, jlong native_application, int cameraDriver) {
if(native_application)
{
return native(native_application)->isBuiltWith(cameraDriver);
}
else
{
UERROR("native_application is null!");
return false;
}
}
JNIEXPORT bool JNICALL
Java_com_introlab_rtabmap_RTABMapLib_startCamera(
JNIEnv* env, jclass, jlong native_application, jobject iBinder, jobject context, jobject activity, int driver) {
if(native_application)
{
return native(native_application)->startCamera(env, iBinder, context, activity, driver);
}
else
{
UERROR("native_application is null!");
return false;
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_initGlContent(
JNIEnv*, jclass, jlong native_application) {
if(native_application)
{
native(native_application)->InitializeGLContent();
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setupGraphic(
JNIEnv*, jclass, jlong native_application, jint width, jint height) {
if(native_application)
{
native(native_application)->SetViewPort(width, height);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT int JNICALL
Java_com_introlab_rtabmap_RTABMapLib_render(
JNIEnv*, jclass, jlong native_application) {
if(native_application)
{
return native(native_application)->Render();
}
else
{
UERROR("native_application is null!");
return -1;
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_stopCamera(
JNIEnv*, jclass, jlong native_application) {
if(native_application)
{
native(native_application)->stopCamera();
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setCamera(
JNIEnv*, jclass, jlong native_application, int camera_index) {
if(native_application)
{
using namespace tango_gl;
GestureCamera::CameraType cam_type =
static_cast<GestureCamera::CameraType>(camera_index);
native(native_application)->SetCameraType(cam_type);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_onTouchEvent(
JNIEnv*, jclass, jlong native_application, int touch_count, int event, float x0, float y0, float x1,
float y1) {
if(native_application)
{
using namespace tango_gl;
GestureCamera::TouchEvent touch_event =
static_cast<GestureCamera::TouchEvent>(event);
native(native_application)->OnTouchEvent(touch_count, touch_event, x0, y0, x1, y1);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setPausedMapping(
JNIEnv*, jclass, jlong native_application, bool paused)
{
if(native_application)
{
return native(native_application)->setPausedMapping(paused);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setOnlineBlending(
JNIEnv*, jclass, jlong native_application, bool enabled)
{
if(native_application)
{
return native(native_application)->setOnlineBlending(enabled);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setMapCloudShown(
JNIEnv*, jclass, jlong native_application, bool shown)
{
if(native_application)
{
return native(native_application)->setMapCloudShown(shown);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setOdomCloudShown(
JNIEnv*, jclass, jlong native_application, bool shown)
{
if(native_application)
{
return native(native_application)->setOdomCloudShown(shown);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setMeshRendering(
JNIEnv*, jclass, jlong native_application, bool enabled, bool withTexture)
{
if(native_application)
{
return native(native_application)->setMeshRendering(enabled, withTexture);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setPointSize(
JNIEnv*, jclass, jlong native_application, float value)
{
if(native_application)
{
return native(native_application)->setPointSize(value);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setFOV(
JNIEnv*, jclass, jlong native_application, float fov)
{
if(native_application)
{
return native(native_application)->setFOV(fov);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setOrthoCropFactor(
JNIEnv*, jclass, jlong native_application, float value)
{
if(native_application)
{
return native(native_application)->setOrthoCropFactor(value);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setGridRotation(
JNIEnv*, jclass, jlong native_application, float value)
{
if(native_application)
{
return native(native_application)->setGridRotation(value);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setLighting(
JNIEnv*, jclass, jlong native_application, bool enabled)
{
if(native_application)
{
return native(native_application)->setLighting(enabled);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setBackfaceCulling(
JNIEnv*, jclass, jlong native_application, bool enabled)
{
if(native_application)
{
return native(native_application)->setBackfaceCulling(enabled);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setWireframe(
JNIEnv*, jclass, jlong native_application, bool enabled)
{
if(native_application)
{
return native(native_application)->setWireframe(enabled);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setLocalizationMode(
JNIEnv*, jclass, jlong native_application, bool enabled)
{
if(native_application)
{
return native(native_application)->setLocalizationMode(enabled);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setTrajectoryMode(
JNIEnv*, jclass, jlong native_application, bool enabled)
{
if(native_application)
{
return native(native_application)->setTrajectoryMode(enabled);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setGraphOptimization(
JNIEnv*, jclass, jlong native_application, bool enabled)
{
if(native_application)
{
return native(native_application)->setGraphOptimization(enabled);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setNodesFiltering(
JNIEnv*, jclass, jlong native_application, bool enabled)
{
if(native_application)
{
return native(native_application)->setNodesFiltering(enabled);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setGraphVisible(
JNIEnv*, jclass, jlong native_application, bool visible)
{
if(native_application)
{
return native(native_application)->setGraphVisible(visible);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setGridVisible(
JNIEnv*, jclass, jlong native_application, bool visible)
{
if(native_application)
{
return native(native_application)->setGridVisible(visible);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setRawScanSaved(
JNIEnv*, jclass, jlong native_application, bool enabled)
{
if(native_application)
{
return native(native_application)->setRawScanSaved(enabled);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setFullResolution(
JNIEnv*, jclass, jlong native_application, bool enabled)
{
if(native_application)
{
return native(native_application)->setFullResolution(enabled);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setSmoothing(
JNIEnv*, jclass, jlong native_application, bool enabled)
{
if(native_application)
{
return native(native_application)->setSmoothing(enabled);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setDepthFromMotion(
JNIEnv*, jclass, jlong native_application, bool enabled)
{
if(native_application)
{
return native(native_application)->setDepthFromMotion(enabled);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setCameraColor(
JNIEnv*, jclass, jlong native_application, bool enabled)
{
if(native_application)
{
return native(native_application)->setCameraColor(enabled);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setAppendMode(
JNIEnv*, jclass, jlong native_application, bool enabled)
{
if(native_application)
{
return native(native_application)->setAppendMode(enabled);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setDataRecorderMode(
JNIEnv*, jclass, jlong native_application, bool enabled)
{
if(native_application)
{
return native(native_application)->setDataRecorderMode(enabled);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setMaxCloudDepth(
JNIEnv*, jclass, jlong native_application, float value)
{
if(native_application)
{
return native(native_application)->setMaxCloudDepth(value);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setMinCloudDepth(
JNIEnv*, jclass, jlong native_application, float value)
{
if(native_application)
{
return native(native_application)->setMinCloudDepth(value);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setCloudDensityLevel(
JNIEnv*, jclass, jlong native_application, int value)
{
if(native_application)
{
return native(native_application)->setCloudDensityLevel(value);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setMeshAngleTolerance(
JNIEnv*, jclass, jlong native_application, float value)
{
if(native_application)
{
return native(native_application)->setMeshAngleTolerance(value);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setMeshTriangleSize(
JNIEnv*, jclass, jlong native_application, int value)
{
if(native_application)
{
return native(native_application)->setMeshTriangleSize(value);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setClusterRatio(
JNIEnv*, jclass, jlong native_application, float value)
{
if(native_application)
{
return native(native_application)->setClusterRatio(value);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setMaxGainRadius(
JNIEnv*, jclass, jlong native_application, float value)
{
if(native_application)
{
return native(native_application)->setMaxGainRadius(value);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setRenderingTextureDecimation(
JNIEnv*, jclass, jlong native_application, int value)
{
if(native_application)
{
return native(native_application)->setRenderingTextureDecimation(value);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setBackgroundColor(
JNIEnv*, jclass, jlong native_application, float value)
{
if(native_application)
{
return native(native_application)->setBackgroundColor(value);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT jint JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setMappingParameter(
JNIEnv* env, jclass, jlong native_application, jstring key, jstring value)
{
if(native_application)
{
std::string keyC, valueC;
GetJStringContent(env,key,keyC);
GetJStringContent(env,value,valueC);
return native(native_application)->setMappingParameter(keyC, valueC);
}
else
{
UERROR("native_application is null!");
return -1;
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setGPS(
JNIEnv*, jclass, jlong native_application,
double stamp,
double longitude,
double latitude,
double altitude,
double accuracy,
double bearing)
{
if(native_application)
{
return native(native_application)->setGPS(rtabmap::GPS(stamp,
longitude,
latitude,
altitude,
accuracy,
bearing));
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_addEnvSensor(
JNIEnv*, jclass, jlong native_application,
int type,
float value)
{
if(native_application)
{
return native(native_application)->addEnvSensor(type, value);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_save(
JNIEnv* env, jclass, jlong native_application, jstring databasePath)
{
if(native_application)
{
std::string databasePathC;
GetJStringContent(env,databasePath,databasePathC);
return native(native_application)->save(databasePathC);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_cancelProcessing(
JNIEnv* env, jclass, jlong native_application)
{
if(native_application)
{
return native(native_application)->cancelProcessing();
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT bool JNICALL
Java_com_introlab_rtabmap_RTABMapLib_exportMesh(
JNIEnv* env, jclass, jlong native_application,
float cloudVoxelSize,
bool regenerateCloud,
bool meshing,
int textureSize,
int textureCount,
int normalK,
bool optimized,
float optimizedVoxelSize,
int optimizedDepth,
int optimizedMaxPolygons,
float optimizedColorRadius,
bool optimizedCleanWhitePolygons,
int optimizedMinClusterSize,
float optimizedMaxTextureDistance,
int optimizedMinTextureClusterSize,
bool blockRendering)
{
if(native_application)
{
return native(native_application)->exportMesh(
cloudVoxelSize,
regenerateCloud,
meshing,
textureSize,
textureCount,
normalK,
optimized,
optimizedVoxelSize,
optimizedDepth,
optimizedMaxPolygons,
optimizedColorRadius,
optimizedCleanWhitePolygons,
optimizedMinClusterSize,
optimizedMaxTextureDistance,
optimizedMinTextureClusterSize,
blockRendering);
}
else
{
UERROR("native_application is null!");
return false;
}
}
JNIEXPORT bool JNICALL
Java_com_introlab_rtabmap_RTABMapLib_postExportation(
JNIEnv* env, jclass, jlong native_application, bool visualize)
{
if(native_application)
{
return native(native_application)->postExportation(visualize);
}
else
{
UERROR("native_application is null!");
return false;
}
}
JNIEXPORT bool JNICALL
Java_com_introlab_rtabmap_RTABMapLib_writeExportedMesh(
JNIEnv* env, jclass, jlong native_application, jstring directory, jstring name)
{
if(native_application)
{
std::string directoryC;
GetJStringContent(env,directory,directoryC);
std::string nameC;
GetJStringContent(env,name,nameC);
return native(native_application)->writeExportedMesh(directoryC, nameC);
}
else
{
UERROR("native_application is null!");
return false;
}
}
JNIEXPORT int JNICALL
Java_com_introlab_rtabmap_RTABMapLib_postProcessing(
JNIEnv* env, jclass, jlong native_application, int approach)
{
if(native_application)
{
return native(native_application)->postProcessing(approach);
}
else
{
UERROR("native_application is null!");
return -1;
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_postCameraPoseEvent(
JNIEnv* env, jclass, jlong native_application,
float x, float y, float z, float qx, float qy, float qz, float qw, double stamp)
{
if(native_application)
{
native(native_application)->postCameraPoseEvent(x,y,z,qx,qy,qz,qw, stamp);
}
else
{
UERROR("native_application is null!");
return;
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_postOdometryEvent(
JNIEnv* env, jclass, jlong native_application,
float x, float y, float z, float qx, float qy, float qz, float qw,
float rgb_fx, float rgb_fy, float rgb_cx, float rgb_cy,
float rgbFrameX, float rgbFrameY, float rgbFrameZ, float rgbFrameQX, float rgbFrameQY, float rgbFrameQZ, float rgbFrameQW,
double stamp,
jobject yPlane, jobject uPlane, jobject vPlane, int yPlaneLen, int rgbWidth, int rgbHeight, int rgbFormat,
jobject points, int pointsLen,
float vx, float vy, float vz, float vqx, float vqy, float vqz, float vqw, //view matrix
float p00, float p11, float p02, float p12, float p22, float p32, float p23, // projection matrix
float t0, float t1, float t2, float t3, float t4, float t5, float t6, float t7) // tex coord
{
if(native_application)
{
void *yPtr = env->GetDirectBufferAddress(yPlane);
void *uPtr = env->GetDirectBufferAddress(uPlane);
void *vPtr = env->GetDirectBufferAddress(vPlane);
float *pointsPtr = (float *)env->GetDirectBufferAddress(points);
native(native_application)->postOdometryEvent(
rtabmap::Transform(x,y,z,qx,qy,qz,qw),
rgb_fx,rgb_fy,rgb_cx,rgb_cy,
0,0,0,0,
rtabmap::Transform(rgbFrameX, rgbFrameY, rgbFrameZ, rgbFrameQX, rgbFrameQY, rgbFrameQZ, rgbFrameQW),
rtabmap::Transform(),
stamp,
0,
yPtr, uPtr, vPtr, yPlaneLen, rgbWidth, rgbHeight, rgbFormat,
0,0,0,0,0, //depth
0,0,0,0,0, //conf
pointsPtr, pointsLen, 4,
rtabmap::Transform(vx, vy, vz, vqx, vqy, vqz, vqw),
p00, p11, p02, p12, p22, p32, p23,
t0, t1, t2, t3, t4, t5, t6, t7);
}
else
{
UERROR("native_application is null!");
return;
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_postOdometryEventDepth(
JNIEnv* env, jclass, jlong native_application,
float x, float y, float z, float qx, float qy, float qz, float qw,
float rgb_fx, float rgb_fy, float rgb_cx, float rgb_cy,
float depth_fx, float depth_fy, float depth_cx, float depth_cy,
float rgbFrameX, float rgbFrameY, float rgbFrameZ, float rgbFrameQX, float rgbFrameQY, float rgbFrameQZ, float rgbFrameQW,
float depthFrameX, float depthFrameY, float depthFrameZ, float depthFrameQX, float depthFrameQY, float depthFrameQZ, float depthFrameQW,
double rgbStamp,
double depthStamp,
jobject yPlane, jobject uPlane, jobject vPlane, int yPlaneLen, int rgbWidth, int rgbHeight, int rgbFormat,
jobject depth, int depthLen, int depthWidth, int depthHeight, int depthFormat,
jobject points, int pointsLen,
float vx, float vy, float vz, float vqx, float vqy, float vqz, float vqw, //view matrix
float p00, float p11, float p02, float p12, float p22, float p32, float p23, // projection matrix
float t0, float t1, float t2, float t3, float t4, float t5, float t6, float t7) // tex coord)
{
void *yPtr = env->GetDirectBufferAddress(yPlane);
void *uPtr = env->GetDirectBufferAddress(uPlane);
void *vPtr = env->GetDirectBufferAddress(vPlane);
void *depthPtr = env->GetDirectBufferAddress(depth);
float *pointsPtr = (float *)env->GetDirectBufferAddress(points);
native(native_application)->postOdometryEvent(
rtabmap::Transform(x,y,z,qx,qy,qz,qw),
rgb_fx,rgb_fy,rgb_cx,rgb_cy,
depth_fx,depth_fy,depth_cx,depth_cy,
rtabmap::Transform(rgbFrameX, rgbFrameY, rgbFrameZ, rgbFrameQX, rgbFrameQY, rgbFrameQZ, rgbFrameQW),
rtabmap::Transform(depthFrameX, depthFrameY, depthFrameZ, depthFrameQX, depthFrameQY, depthFrameQZ, depthFrameQW),
rgbStamp,
depthStamp,
yPtr, uPtr, vPtr, yPlaneLen, rgbWidth, rgbHeight, rgbFormat,
depthPtr, depthLen, depthWidth, depthHeight, depthFormat,
0,0,0,0,0, // conf
pointsPtr, pointsLen, 4,
rtabmap::Transform(vx, vy, vz, vqx, vqy, vqz, vqw),
p00, p11, p02, p12, p22, p32, p23,
t0, t1, t2, t3, t4, t5, t6, t7);
}
#ifdef __cplusplus
}
#endif

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/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef TANGO_POINT_CLOUD_POINT_CLOUD_DRAWABLE_H_
#define TANGO_POINT_CLOUD_POINT_CLOUD_DRAWABLE_H_
#ifdef __ANDROID__
#include <jni.h>
#endif
#include <tango-gl/util.h>
#include <vector>
#include <pcl/point_cloud.h>
#include <pcl/point_types.h>
#include <rtabmap/core/Transform.h>
#include <pcl/Vertices.h>
#include "util.h"
// PointCloudDrawable is responsible for the point cloud rendering.
class PointCloudDrawable {
public:
static void createShaderPrograms();
static void releaseShaderPrograms();
private:
static std::vector<GLuint> shaderPrograms_;
public:
PointCloudDrawable(
const pcl::PointCloud<pcl::PointXYZRGB>::Ptr & cloud,
const pcl::IndicesPtr & indices,
float gainR = 1.0f,
float gainG = 1.0f,
float gainB = 1.0f);
PointCloudDrawable(
const rtabmap::Mesh & mesh,
bool createWireframe = false);
virtual ~PointCloudDrawable();
void updatePolygons(const std::vector<pcl::Vertices> & polygons, const std::vector<pcl::Vertices> & polygonsLowRes = std::vector<pcl::Vertices>(), bool createWireframe = false);
void updateCloud(const pcl::PointCloud<pcl::PointXYZRGB>::Ptr & cloud, const pcl::IndicesPtr & indices);
void updateMesh(const rtabmap::Mesh & mesh, bool createWireframe = false);
void setPose(const rtabmap::Transform & pose);
void setVisible(bool visible) {visible_=visible;}
void setGains(float gainR, float gainG, float gainB) {gainR_ = gainR; gainG_ = gainG; gainB_ = gainB;}
rtabmap::Transform getPose() const {return pose_;}
const glm::mat4 & getPoseGl() const {return poseGl_;}
bool isVisible() const {return visible_;}
bool hasMesh() const {return polygons_.size()!=0;}
bool hasTexture() const {return textures_ != 0;}
float getMinHeight() const {return minHeight_;}
const pcl::PointXYZ & aabbMinModel() const {return aabbMinModel_;}
const pcl::PointXYZ & aabbMaxModel() const {return aabbMaxModel_;}
const pcl::PointXYZ & aabbMinWorld() const {return aabbMinWorld_;}
const pcl::PointXYZ & aabbMaxWorld() const {return aabbMaxWorld_;}
// Update current point cloud data.
//
// @param projection_mat: projection matrix from current render camera.
// @param view_mat: view matrix from current render camera.
// @param model_mat: model matrix for this point cloud frame.
// @param vertices: all vertices in this point cloud frame.
void Render(
const glm::mat4 & projectionMatrix,
const glm::mat4 & viewMatrix,
bool meshRendering = true,
float pointSize = 3.0f,
bool textureRendering = false,
bool lighting = true,
float distanceToCamSqr = 0.0f,
const GLuint & depthTexture = 0,
int screenWidth = 0, // nonnull if depthTexture>0
int screenHeight = 0, // nonnull if depthTexture>0
float nearClipPlane = 0, // nonnull if depthTexture>0
float farClipPlane = 0, // nonnull if depthTexture>0
bool packDepthToColorChannel = false,
bool wireFrame = false) const;
private:
template<class PointT>
void updateAABBMinMax(const PointT & pt, pcl::PointXYZ & min, pcl::PointXYZ & max)
{
if(pt.x<min.x) min.x = pt.x;
if(pt.y<min.y) min.y = pt.y;
if(pt.z<min.z) min.z = pt.z;
if(pt.x>max.x) max.x = pt.x;
if(pt.y>max.y) max.y = pt.y;
if(pt.z>max.z) max.z = pt.z;
}
void updateAABBWorld(const rtabmap::Transform & pose);
private:
// Vertex buffer of the point cloud geometry.
GLuint vertex_buffers_;
GLuint textures_;
std::vector<GLuint> polygons_;
std::vector<GLuint> polygonsLowRes_;
std::vector<GLuint> polygonLines_;
std::vector<GLuint> polygonLinesLowRes_;
std::vector<GLuint> verticesLowRes_;
std::vector<GLuint> verticesLowLowRes_;
int nPoints_;
rtabmap::Transform pose_;
glm::mat4 poseGl_;
bool visible_;
bool hasNormals_;
std::vector<unsigned int> organizedToDenseIndices_;
float minHeight_; // odom frame
float gainR_;
float gainG_;
float gainB_;
pcl::PointXYZ aabbMinModel_;
pcl::PointXYZ aabbMaxModel_;
pcl::PointXYZ aabbMinWorld_;
pcl::PointXYZ aabbMaxWorld_;
};
#endif // TANGO_POINT_CLOUD_POINT_CLOUD_DRAWABLE_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include <tango-gl/conversions.h>
#include <tango-gl/gesture_camera.h>
#include <tango-gl/util.h>
#include <rtabmap/utilite/ULogger.h>
#include <rtabmap/utilite/UStl.h>
#include <rtabmap/utilite/UTimer.h>
#include <rtabmap/core/util3d_filtering.h>
#include <rtabmap/core/util3d_transforms.h>
#include <rtabmap/core/util3d_surface.h>
#include <pcl/common/transforms.h>
#include <pcl/common/common.h>
#include <glm/gtx/transform.hpp>
#include "scene.h"
#include "util.h"
// We want to represent the device properly with respect to the ground so we'll
// add an offset in z to our origin. We'll set this offset to 1.3 meters based
// on the average height of a human standing with a Tango device. This allows us
// to place a grid roughly on the ground for most users.
const glm::vec3 kHeightOffset = glm::vec3(0.0f, -1.3f, 0.0f);
// Color of the motion tracking trajectory.
const tango_gl::Color kTraceColor(0.66f, 0.66f, 0.66f);
// Color of the ground grid.
const tango_gl::Color kGridColor(0.85f, 0.85f, 0.85f);
// Frustum scale.
const glm::vec3 kFrustumScale = glm::vec3(0.4f, 0.3f, 0.5f);
const std::string kGraphVertexShader =
"precision mediump float;\n"
"precision mediump int;\n"
"attribute vec3 vertex;\n"
"uniform vec3 color;\n"
"uniform mat4 mvp;\n"
"varying vec3 v_color;\n"
"void main() {\n"
" gl_Position = mvp*vec4(vertex.x, vertex.y, vertex.z, 1.0);\n"
" v_color = color;\n"
"}\n";
const std::string kGraphFragmentShader =
"precision mediump float;\n"
"precision mediump int;\n"
"varying vec3 v_color;\n"
"void main() {\n"
" gl_FragColor = vec4(v_color.z, v_color.y, v_color.x, 1.0);\n"
"}\n";
Scene::Scene() :
background_renderer_(0),
gesture_camera_(0),
axis_(0),
frustum_(0),
grid_(0),
box_(0),
trace_(0),
graph_(0),
graphVisible_(true),
gridVisible_(true),
traceVisible_(true),
frustumVisible_(true),
color_camera_to_display_rotation_(rtabmap::ROTATION_0),
currentPose_(0),
graph_shader_program_(0),
blending_(true),
mapRendering_(true),
meshRendering_(true),
meshRenderingTexture_(true),
pointSize_(10.0f),
boundingBoxRendering_(false),
lighting_(false),
backfaceCulling_(true),
wireFrame_(false),
r_(0.0f),
g_(0.0f),
b_(0.0f),
fboId_(0),
rboId_(0),
screenWidth_(0),
screenHeight_(0),
doubleTapOn_(false)
{
depthTextures_[0] = depthTextures_[1] = 0;
gesture_camera_ = new tango_gl::GestureCamera();
gesture_camera_->SetCameraType(
tango_gl::GestureCamera::kThirdPersonFollow);
}
Scene::~Scene() {
DeleteResources();
delete gesture_camera_;
delete currentPose_;
}
//Should only be called in OpenGL thread!
void Scene::InitGLContent()
{
if(axis_ != 0)
{
DeleteResources();
}
UASSERT(axis_ == 0);
axis_ = new tango_gl::Axis();
frustum_ = new tango_gl::Frustum();
trace_ = new tango_gl::Trace();
grid_ = new tango_gl::Grid();
box_ = new BoundingBoxDrawable();
axis_->SetScale(glm::vec3(0.5f,0.5f,0.5f));
frustum_->SetColor(kTraceColor);
trace_->ClearVertexArray();
trace_->SetColor(kTraceColor);
grid_->SetColor(kGridColor);
grid_->SetPosition(kHeightOffset);
box_->SetShader();
box_->SetColor(1,0,0);
PointCloudDrawable::createShaderPrograms();
if(graph_shader_program_ == 0)
{
graph_shader_program_ = tango_gl::util::CreateProgram(kGraphVertexShader.c_str(), kGraphFragmentShader.c_str());
UASSERT(graph_shader_program_ != 0);
}
}
//Should only be called in OpenGL thread!
void Scene::DeleteResources() {
LOGI("Scene::DeleteResources()");
if(axis_)
{
delete axis_;
axis_ = 0;
delete frustum_;
delete trace_;
delete grid_;
delete box_;
delete background_renderer_;
background_renderer_ = 0;
}
PointCloudDrawable::releaseShaderPrograms();
if (graph_shader_program_) {
glDeleteShader(graph_shader_program_);
graph_shader_program_ = 0;
}
if(fboId_>0)
{
glDeleteFramebuffers(1, &fboId_);
fboId_ = 0;
glDeleteRenderbuffers(1, &rboId_);
rboId_ = 0;
glDeleteTextures(2, depthTextures_);
depthTextures_[0] = depthTextures_[1] = 0;
}
clear();
}
//Should only be called in OpenGL thread!
void Scene::clear()
{
LOGI("Scene::clear()");
for(std::map<int, PointCloudDrawable*>::iterator iter=pointClouds_.begin(); iter!=pointClouds_.end(); ++iter)
{
delete iter->second;
}
for(std::map<int, tango_gl::Axis*>::iterator iter=markers_.begin(); iter!=markers_.end(); ++iter)
{
delete iter->second;
}
if(trace_)
{
trace_->ClearVertexArray();
}
if(graph_)
{
delete graph_;
graph_ = 0;
}
pointClouds_.clear();
markers_.clear();
if(grid_)
{
grid_->SetPosition(kHeightOffset);
}
}
//Should only be called in OpenGL thread!
void Scene::SetupViewPort(int w, int h) {
if (h == 0) {
LOGE("Setup graphic height not valid");
}
UASSERT(gesture_camera_ != 0);
gesture_camera_->SetWindowSize(static_cast<float>(w), static_cast<float>(h));
glViewport(0, 0, w, h);
if(screenWidth_ != w || screenHeight_ != h || fboId_ == 0)
{
UINFO("Setup viewport OpenGL: %dx%d", w, h);
if(fboId_>0)
{
glDeleteFramebuffers(1, &fboId_);
fboId_ = 0;
glDeleteRenderbuffers(1, &rboId_);
rboId_ = 0;
glDeleteTextures(2, depthTextures_);
depthTextures_[0] = depthTextures_[1] = 0;
}
GLint originid = 0;
glGetIntegerv(GL_FRAMEBUFFER_BINDING, &originid);
// regenerate fbo texture
// create a framebuffer object, you need to delete them when program exits.
glGenFramebuffers(1, &fboId_);
glBindFramebuffer(GL_FRAMEBUFFER, fboId_);
// Create depth texture
glGenTextures(2, depthTextures_);
glBindTexture(GL_TEXTURE_2D, depthTextures_[0]);
glTexParameterf(GL_TEXTURE_2D, GL_TEXTURE_WRAP_S, GL_CLAMP_TO_EDGE);
glTexParameterf(GL_TEXTURE_2D, GL_TEXTURE_WRAP_T, GL_CLAMP_TO_EDGE);
glTexParameterf(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_NEAREST);
glTexParameterf(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_NEAREST);
glTexImage2D(GL_TEXTURE_2D, 0, GL_RGBA, w, h, 0, GL_RGBA, GL_UNSIGNED_BYTE, NULL);
glBindTexture(GL_TEXTURE_2D, 0);
glBindTexture(GL_TEXTURE_2D, depthTextures_[1]);
glTexParameterf(GL_TEXTURE_2D, GL_TEXTURE_WRAP_S, GL_CLAMP_TO_EDGE);
glTexParameterf(GL_TEXTURE_2D, GL_TEXTURE_WRAP_T, GL_CLAMP_TO_EDGE);
glTexParameterf(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_NEAREST);
glTexParameterf(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_NEAREST);
glTexImage2D(GL_TEXTURE_2D, 0, GL_RGBA, w, h, 0, GL_RGBA, GL_UNSIGNED_BYTE, NULL);
glBindTexture(GL_TEXTURE_2D, 0);
glGenRenderbuffers(1, &rboId_);
glBindRenderbuffer(GL_RENDERBUFFER, rboId_);
glRenderbufferStorage(GL_RENDERBUFFER, GL_DEPTH_COMPONENT16, w, h);
glBindRenderbuffer(GL_RENDERBUFFER, 0);
// Set the texture to be at the color attachment point of the FBO (we pack depth 32 bits in color)
glFramebufferTexture2D(GL_FRAMEBUFFER, GL_COLOR_ATTACHMENT0, GL_TEXTURE_2D, depthTextures_[0], 0);
glFramebufferRenderbuffer(GL_FRAMEBUFFER, GL_DEPTH_ATTACHMENT, GL_RENDERBUFFER, rboId_);
GLuint status = glCheckFramebufferStatus(GL_FRAMEBUFFER);
UASSERT ( status == GL_FRAMEBUFFER_COMPLETE);
glBindFramebuffer(GL_FRAMEBUFFER, originid);
}
screenWidth_ = w;
screenHeight_ = h;
}
std::vector<glm::vec4> computeFrustumPlanes(const glm::mat4 & mat, bool normalize = true)
{
// http://www.txutxi.com/?p=444
std::vector<glm::vec4> planes(6);
// Left Plane
// col4 + col1
planes[0].x = mat[0][3] + mat[0][0];
planes[0].y = mat[1][3] + mat[1][0];
planes[0].z = mat[2][3] + mat[2][0];
planes[0].w = mat[3][3] + mat[3][0];
// Right Plane
// col4 - col1
planes[1].x = mat[0][3] - mat[0][0];
planes[1].y = mat[1][3] - mat[1][0];
planes[1].z = mat[2][3] - mat[2][0];
planes[1].w = mat[3][3] - mat[3][0];
// Bottom Plane
// col4 + col2
planes[2].x = mat[0][3] + mat[0][1];
planes[2].y = mat[1][3] + mat[1][1];
planes[2].z = mat[2][3] + mat[2][1];
planes[2].w = mat[3][3] + mat[3][1];
// Top Plane
// col4 - col2
planes[3].x = mat[0][3] - mat[0][1];
planes[3].y = mat[1][3] - mat[1][1];
planes[3].z = mat[2][3] - mat[2][1];
planes[3].w = mat[3][3] - mat[3][1];
// Near Plane
// col4 + col3
planes[4].x = mat[0][3] + mat[0][2];
planes[4].y = mat[1][3] + mat[1][2];
planes[4].z = mat[2][3] + mat[2][2];
planes[4].w = mat[3][3] + mat[3][2];
// Far Plane
// col4 - col3
planes[5].x = mat[0][3] - mat[0][2];
planes[5].y = mat[1][3] - mat[1][2];
planes[5].z = mat[2][3] - mat[2][2];
planes[5].w = mat[3][3] - mat[3][2];
//if(normalize)
{
for(unsigned int i=0;i<planes.size(); ++i)
{
if(normalize)
{
float d = std::sqrt(planes[i].x * planes[i].x + planes[i].y * planes[i].y + planes[i].z * planes[i].z); // for normalizing the coordinates
planes[i].x/=d;
planes[i].y/=d;
planes[i].z/=d;
planes[i].w/=d;
}
}
}
return planes;
}
/**
* Tells whether or not b is intersecting f.
* http://www.txutxi.com/?p=584
* @param f Viewing frustum.
* @param b An axis aligned bounding box.
* @return True if b intersects f, false otherwise.
*/
bool intersectFrustumAABB(
const std::vector<glm::vec4> &planes,
const pcl::PointXYZ &boxMin,
const pcl::PointXYZ &boxMax)
{
// Indexed for the 'index trick' later
const pcl::PointXYZ * box[] = {&boxMin, &boxMax};
// We only need to do 6 point-plane tests
for (unsigned int i = 0; i < planes.size(); ++i)
{
// This is the current plane
const glm::vec4 &p = planes[i];
// p-vertex selection (with the index trick)
// According to the plane normal we can know the
// indices of the positive vertex
const int px = p.x > 0.0f?1:0;
const int py = p.y > 0.0f?1:0;
const int pz = p.z > 0.0f?1:0;
// Dot product
// project p-vertex on plane normal
// (How far is p-vertex from the origin)
const float dp =
(p.x*box[px]->x) +
(p.y*box[py]->y) +
(p.z*box[pz]->z) + p.w;
// Doesn't intersect if it is behind the plane
if (dp < 0) {return false; }
}
return true;
}
//Should only be called in OpenGL thread!
int Scene::Render(const float * uvsTransformed, glm::mat4 arViewMatrix, glm::mat4 arProjectionMatrix, const rtabmap::Mesh & occlusionMesh, bool mapping) {
UASSERT(gesture_camera_ != 0);
if(currentPose_ == 0)
{
currentPose_ = new rtabmap::Transform(0,0,0,0,0,-M_PI/2.0f);
}
glm::vec3 position(currentPose_->x(), currentPose_->y(), currentPose_->z());
Eigen::Quaternionf quat = currentPose_->getQuaternionf();
glm::quat rotation(quat.w(), quat.x(), quat.y(), quat.z());
glm::mat4 rotateM;
if(!currentPose_->isNull())
{
rotateM = glm::rotate<float>(float(color_camera_to_display_rotation_)*-1.57079632679489661923132169163975144, glm::vec3(0.0f, 0.0f, 1.0f));
if (gesture_camera_->GetCameraType() == tango_gl::GestureCamera::kFirstPerson)
{
// In first person mode, we directly control camera's motion.
gesture_camera_->SetPosition(position);
gesture_camera_->SetRotation(rotation*glm::quat(rotateM));
}
else
{
// In third person or top down mode, we follow the camera movement.
gesture_camera_->SetAnchorPosition(position, rotation*glm::quat(rotateM));
}
}
glm::mat4 projectionMatrix = gesture_camera_->GetProjectionMatrix();
glm::mat4 viewMatrix = gesture_camera_->GetViewMatrix();
bool renderBackgroundCamera =
background_renderer_ &&
gesture_camera_->GetCameraType() == tango_gl::GestureCamera::kFirstPerson &&
!rtabmap::glmToTransform(arProjectionMatrix).isNull() &&
uvsTransformed;
if(renderBackgroundCamera)
{
if(projectionMatrix[0][0] > arProjectionMatrix[0][0]-0.2)
{
projectionMatrix = arProjectionMatrix;
viewMatrix = arViewMatrix;
}
else
{
renderBackgroundCamera = false;
}
}
rtabmap::Transform openglCamera = GetOpenGLCameraPose();//*rtabmap::Transform(0.0f, 0.0f, 3.0f, 0.0f, 0.0f, 0.0f);
// transform in same coordinate as frustum filtering
openglCamera *= rtabmap::Transform(
0.0f, 0.0f, 1.0f, 0.0f,
0.0f, 1.0f, 0.0f, 0.0f,
-1.0f, 0.0f, 0.0f, 0.0f);
//Culling
std::vector<glm::vec4> planes = computeFrustumPlanes(projectionMatrix*viewMatrix, true);
std::vector<PointCloudDrawable*> cloudsToDraw(pointClouds_.size());
int oi=0;
for(std::map<int, PointCloudDrawable*>::const_iterator iter=pointClouds_.begin(); iter!=pointClouds_.end(); ++iter)
{
if(!mapRendering_ && iter->first > 0)
{
break;
}
if(iter->second->isVisible())
{
if(intersectFrustumAABB(planes,
iter->second->aabbMinWorld(),
iter->second->aabbMaxWorld()))
{
cloudsToDraw[oi++] = iter->second;
}
}
}
cloudsToDraw.resize(oi);
// First rendering to get depth texture
glEnable(GL_DEPTH_TEST);
glDepthFunc(GL_LESS);
glDepthMask(GL_TRUE);
glColorMask(GL_TRUE, GL_TRUE, GL_TRUE, GL_TRUE);
glDisable (GL_BLEND);
glBlendFunc (GL_SRC_ALPHA, GL_ONE_MINUS_SRC_ALPHA);
if(backfaceCulling_)
{
glEnable(GL_CULL_FACE);
}
else
{
glDisable(GL_CULL_FACE);
}
UTimer timer;
bool onlineBlending = (!meshRendering_ && occlusionMesh.cloud.get() && occlusionMesh.cloud->size()) || (blending_ && gesture_camera_->GetCameraType()!=tango_gl::GestureCamera::kTopOrtho && mapRendering_ && meshRendering_);
if(onlineBlending && fboId_)
{
GLint originid = 0;
glGetIntegerv(GL_FRAMEBUFFER_BINDING, &originid);
// set the rendering destination to FBO
glBindFramebuffer(GL_FRAMEBUFFER, fboId_);
glClearColor(0, 0, 0, 0);
glClear(GL_DEPTH_BUFFER_BIT | GL_COLOR_BUFFER_BIT);
// Draw scene
for(std::vector<PointCloudDrawable*>::const_iterator iter=cloudsToDraw.begin(); iter!=cloudsToDraw.end(); ++iter)
{
Eigen::Vector3f cloudToCamera(
(*iter)->getPose().x() - openglCamera.x(),
(*iter)->getPose().y() - openglCamera.y(),
(*iter)->getPose().z() - openglCamera.z());
float distanceToCameraSqr = cloudToCamera[0]*cloudToCamera[0] + cloudToCamera[1]*cloudToCamera[1] + cloudToCamera[2]*cloudToCamera[2];
(*iter)->Render(projectionMatrix, viewMatrix, meshRendering_, pointSize_, false, false, distanceToCameraSqr, 0, 0, 0, 0, 0, true);
}
glBindTexture(GL_TEXTURE_2D, depthTextures_[1]);
glCopyTexSubImage2D(GL_TEXTURE_2D, 0, 0, 0, 0, 0, screenWidth_, screenHeight_);
glBindTexture(GL_TEXTURE_2D, 0);
if(!meshRendering_ && occlusionMesh.cloud.get() && occlusionMesh.cloud->size())
{
PointCloudDrawable drawable(occlusionMesh);
drawable.Render(projectionMatrix, viewMatrix, true, pointSize_, false, false, 0, 0, 0, 0, 0, 0, true);
}
// back to normal window-system-provided framebuffer
glBindFramebuffer(GL_FRAMEBUFFER, originid); // unbind
}
if(doubleTapOn_ && gesture_camera_->GetCameraType() != tango_gl::GestureCamera::kFirstPerson)
{
glClearColor(0, 0, 0, 0);
glClear(GL_DEPTH_BUFFER_BIT | GL_COLOR_BUFFER_BIT);
// FIXME: we could use the depthTexture if already computed!
for(std::vector<PointCloudDrawable*>::const_iterator iter=cloudsToDraw.begin(); iter!=cloudsToDraw.end(); ++iter)
{
Eigen::Vector3f cloudToCamera(
(*iter)->getPose().x() - openglCamera.x(),
(*iter)->getPose().y() - openglCamera.y(),
(*iter)->getPose().z() - openglCamera.z());
float distanceToCameraSqr = cloudToCamera[0]*cloudToCamera[0] + cloudToCamera[1]*cloudToCamera[1] + cloudToCamera[2]*cloudToCamera[2];
(*iter)->Render(projectionMatrix, viewMatrix, meshRendering_, pointSize_*10.0f, false, false, distanceToCameraSqr, 0, 0, 0, 0, 0, true);
}
GLubyte zValue[4];
glReadPixels(doubleTapPos_.x*screenWidth_, screenHeight_-doubleTapPos_.y*screenHeight_, 1, 1, GL_RGBA, GL_UNSIGNED_BYTE, zValue);
float zValueF = float(zValue[0]/255.0f) + float(zValue[1]/255.0f)/255.0f + float(zValue[2]/255.0f)/65025.0f + float(zValue[3]/255.0f)/160581375.0f;
if(zValueF != 0.0f)
{
zValueF = zValueF*2.0-1.0;//NDC
glm::vec4 point = glm::inverse(projectionMatrix*viewMatrix)*glm::vec4(doubleTapPos_.x*2.0f-1.0f, (1.0f-doubleTapPos_.y)*2.0f-1.0f, zValueF, 1.0f);
point /= point.w;
gesture_camera_->SetAnchorOffset(glm::vec3(point.x, point.y, point.z) - position);
}
}
doubleTapOn_ = false;
glClearColor(r_, g_, b_, 1.0f);
glClear(GL_DEPTH_BUFFER_BIT | GL_COLOR_BUFFER_BIT);
if(renderBackgroundCamera && !onlineBlending)
{
background_renderer_->Draw(uvsTransformed, 0, screenWidth_, screenHeight_, false);
//To debug occlusion image:
//PointCloudDrawable drawable(occlusionMesh);
//drawable.Render(projectionMatrix, viewMatrix, true, pointSize_, false, false, 999.0f);
}
if(!currentPose_->isNull())
{
if (frustumVisible_ && gesture_camera_->GetCameraType() != tango_gl::GestureCamera::kFirstPerson)
{
frustum_->SetPosition(position);
frustum_->SetRotation(rotation);
// Set the frustum scale to 4:3, this doesn't necessarily match the physical
// camera's aspect ratio, this is just for visualization purposes.
frustum_->SetScale(kFrustumScale);
frustum_->Render(projectionMatrix, viewMatrix);
rtabmap::Transform cameraFrame = *currentPose_*rtabmap::optical_T_opengl*rtabmap::CameraMobile::opticalRotationInv;
glm::vec3 positionCamera(cameraFrame.x(), cameraFrame.y(), cameraFrame.z());
Eigen::Quaternionf quatCamera = cameraFrame.getQuaternionf();
glm::quat rotationCamera(quatCamera.w(), quatCamera.x(), quatCamera.y(), quatCamera.z());
axis_->SetPosition(positionCamera);
axis_->SetRotation(rotationCamera);
axis_->Render(projectionMatrix, viewMatrix);
}
trace_->UpdateVertexArray(position);
if(traceVisible_)
{
trace_->Render(projectionMatrix, viewMatrix);
}
}
if(gridVisible_ && !renderBackgroundCamera)
{
grid_->Render(projectionMatrix, viewMatrix);
}
if(graphVisible_ && graph_)
{
graph_->Render(projectionMatrix, viewMatrix);
}
if(onlineBlending)
{
glEnable (GL_BLEND);
glDepthMask(GL_FALSE);
}
for(std::vector<PointCloudDrawable*>::const_iterator iter=cloudsToDraw.begin(); iter!=cloudsToDraw.end(); ++iter)
{
PointCloudDrawable * cloud = *iter;
if(boundingBoxRendering_)
{
box_->updateVertices(cloud->aabbMinWorld(), cloud->aabbMaxWorld());
box_->Render(projectionMatrix, viewMatrix);
}
Eigen::Vector3f cloudToCamera(
cloud->getPose().x() - openglCamera.x(),
cloud->getPose().y() - openglCamera.y(),
cloud->getPose().z() - openglCamera.z());
float distanceToCameraSqr = cloudToCamera[0]*cloudToCamera[0] + cloudToCamera[1]*cloudToCamera[1] + cloudToCamera[2]*cloudToCamera[2];
cloud->Render(projectionMatrix, viewMatrix, meshRendering_, pointSize_, meshRenderingTexture_, lighting_, distanceToCameraSqr, onlineBlending?depthTextures_[0]:0, screenWidth_, screenHeight_, gesture_camera_->getNearClipPlane(), gesture_camera_->getFarClipPlane(), false, wireFrame_);
}
if(onlineBlending)
{
if(renderBackgroundCamera)
{
background_renderer_->Draw(uvsTransformed, depthTextures_[1], screenWidth_, screenHeight_, meshRendering_?mapping:false);
}
glDisable (GL_BLEND);
glDepthMask(GL_TRUE);
}
//draw markers on foreground
for(std::map<int, tango_gl::Axis*>::const_iterator iter=markers_.begin(); iter!=markers_.end(); ++iter)
{
iter->second->Render(projectionMatrix, viewMatrix);
}
return (int)cloudsToDraw.size();
}
void Scene::SetCameraType(tango_gl::GestureCamera::CameraType camera_type) {
gesture_camera_->SetCameraType(camera_type);
}
void Scene::SetCameraPose(const rtabmap::Transform & pose)
{
UASSERT(!pose.isNull());
if(currentPose_ ==0)
{
currentPose_ = new rtabmap::Transform(0,0,0,0,0,-M_PI/2.0f);
}
*currentPose_ = pose;
}
void Scene::setFOV(float angle)
{
gesture_camera_->SetFieldOfView(angle);
}
void Scene::setOrthoCropFactor(float value)
{
gesture_camera_->SetOrthoCropFactor(value);
}
void Scene::setGridRotation(float angleDeg)
{
float angleRad = angleDeg * DEGREE_2_RADIANS;
if(grid_)
{
glm::quat rot = glm::rotate(glm::quat(1,0,0,0), angleRad, glm::vec3(0, 1, 0));
grid_->SetRotation(rot);
}
}
rtabmap::Transform Scene::GetOpenGLCameraPose(float * fov) const
{
if(fov)
{
*fov = gesture_camera_->getFOV();
}
return rtabmap::glmToTransform(gesture_camera_->GetTransformationMatrix());
}
void Scene::OnTouchEvent(int touch_count,
tango_gl::GestureCamera::TouchEvent event, float x0,
float y0, float x1, float y1) {
UASSERT(gesture_camera_ != 0);
if(touch_count == 3)
{
//doubletap
if(!doubleTapOn_)
{
doubleTapPos_.x = x0;
doubleTapPos_.y = y0;
doubleTapOn_ = true;
}
}
else
{
// rotate/translate/zoom
gesture_camera_->OnTouchEvent(touch_count, event, x0, y0, x1, y1);
}
}
void Scene::updateGraph(
const std::map<int, rtabmap::Transform> & poses,
const std::multimap<int, rtabmap::Link> & links)
{
LOGI("updateGraph");
//create
UASSERT(graph_shader_program_ != 0);
delete graph_;
graph_ = new GraphDrawable(graph_shader_program_, poses, links);
}
void Scene::setGraphVisible(bool visible)
{
graphVisible_ = visible;
}
void Scene::setGridVisible(bool visible)
{
gridVisible_ = visible;
}
void Scene::setTraceVisible(bool visible)
{
traceVisible_ = visible;
}
void Scene::setFrustumVisible(bool visible)
{
frustumVisible_ = visible;
}
//Should only be called in OpenGL thread!
void Scene::addMarker(
int id,
const rtabmap::Transform & pose)
{
LOGI("add marker %d", id);
std::map<int, tango_gl::Axis*>::iterator iter=markers_.find(id);
if(iter == markers_.end())
{
//create
tango_gl::Axis * drawable = new tango_gl::Axis();
drawable->SetScale(glm::vec3(0.05f,0.05f,0.05f));
drawable->SetLineWidth(5);
markers_.insert(std::make_pair(id, drawable));
}
setMarkerPose(id, pose);
}
void Scene::setMarkerPose(int id, const rtabmap::Transform & pose)
{
UASSERT(!pose.isNull());
std::map<int, tango_gl::Axis*>::iterator iter=markers_.find(id);
if(iter != markers_.end())
{
glm::vec3 position(pose.x(), pose.y(), pose.z());
Eigen::Quaternionf quat = pose.getQuaternionf();
glm::quat rotation(quat.w(), quat.x(), quat.y(), quat.z());
iter->second->SetPosition(position);
iter->second->SetRotation(rotation);
}
}
bool Scene::hasMarker(int id) const
{
return markers_.find(id) != markers_.end();
}
void Scene::removeMarker(int id)
{
std::map<int, tango_gl::Axis*>::iterator iter=markers_.find(id);
if(iter != markers_.end())
{
delete iter->second;
markers_.erase(iter);
}
}
std::set<int> Scene::getAddedMarkers() const
{
return uKeysSet(markers_);
}
void Scene::addCloud(
int id,
const pcl::PointCloud<pcl::PointXYZRGB>::Ptr & cloud,
const pcl::IndicesPtr & indices,
const rtabmap::Transform & pose)
{
LOGI("add cloud %d (%d points %d indices)", id, (int)cloud->size(), indices.get()?(int)indices->size():0);
std::map<int, PointCloudDrawable*>::iterator iter=pointClouds_.find(id);
if(iter != pointClouds_.end())
{
delete iter->second;
pointClouds_.erase(iter);
}
//create
PointCloudDrawable * drawable = new PointCloudDrawable(cloud, indices);
drawable->setPose(pose);
pointClouds_.insert(std::make_pair(id, drawable));
}
void Scene::addMesh(
int id,
const rtabmap::Mesh & mesh,
const rtabmap::Transform & pose,
bool createWireframe)
{
LOGI("add mesh %d", id);
std::map<int, PointCloudDrawable*>::iterator iter=pointClouds_.find(id);
if(iter != pointClouds_.end())
{
delete iter->second;
pointClouds_.erase(iter);
}
//create
PointCloudDrawable * drawable = new PointCloudDrawable(mesh, createWireframe);
drawable->setPose(pose);
pointClouds_.insert(std::make_pair(id, drawable));
if(!mesh.pose.isNull() && mesh.cloud->size() && (!mesh.cloud->isOrganized() || mesh.indices->size()))
{
UTimer time;
float height = 0.0f;
Eigen::Affine3f affinePose = mesh.pose.toEigen3f();
if(mesh.polygons.size())
{
for(unsigned int i=0; i<mesh.polygons.size(); ++i)
{
for(unsigned int j=0; j<mesh.polygons[i].vertices.size(); ++j)
{
pcl::PointXYZRGB pt = pcl::transformPoint(mesh.cloud->at(mesh.polygons[i].vertices[j]), affinePose);
if(pt.z < height)
{
height = pt.z;
}
}
}
}
else
{
if(mesh.cloud->isOrganized())
{
for(unsigned int i=0; i<mesh.indices->size(); ++i)
{
pcl::PointXYZRGB pt = pcl::transformPoint(mesh.cloud->at(mesh.indices->at(i)), affinePose);
if(pt.z < height)
{
height = pt.z;
}
}
}
else
{
for(unsigned int i=0; i<mesh.cloud->size(); ++i)
{
pcl::PointXYZRGB pt = pcl::transformPoint(mesh.cloud->at(i), affinePose);
if(pt.z < height)
{
height = pt.z;
}
}
}
}
if(grid_->GetPosition().y == kHeightOffset.y || grid_->GetPosition().y > height)
{
grid_->SetPosition(glm::vec3(0,height,0));
}
LOGD("compute min height %f s", time.ticks());
}
}
void Scene::setCloudPose(int id, const rtabmap::Transform & pose)
{
UASSERT(!pose.isNull());
std::map<int, PointCloudDrawable*>::iterator iter=pointClouds_.find(id);
if(iter != pointClouds_.end())
{
iter->second->setPose(pose);
}
}
void Scene::setCloudVisible(int id, bool visible)
{
std::map<int, PointCloudDrawable*>::iterator iter=pointClouds_.find(id);
if(iter != pointClouds_.end())
{
iter->second->setVisible(visible);
}
}
bool Scene::hasCloud(int id) const
{
return pointClouds_.find(id) != pointClouds_.end();
}
bool Scene::hasMesh(int id) const
{
return pointClouds_.find(id) != pointClouds_.end() && pointClouds_.at(id)->hasMesh();
}
bool Scene::hasTexture(int id) const
{
return pointClouds_.find(id) != pointClouds_.end() && pointClouds_.at(id)->hasTexture();
}
std::set<int> Scene::getAddedClouds() const
{
return uKeysSet(pointClouds_);
}
void Scene::updateCloudPolygons(int id, const std::vector<pcl::Vertices> & polygons)
{
std::map<int, PointCloudDrawable*>::iterator iter=pointClouds_.find(id);
if(iter != pointClouds_.end())
{
iter->second->updatePolygons(polygons);
}
}
void Scene::updateMesh(int id, const rtabmap::Mesh & mesh)
{
std::map<int, PointCloudDrawable*>::iterator iter=pointClouds_.find(id);
if(iter != pointClouds_.end())
{
iter->second->updateMesh(mesh);
}
}
void Scene::updateGains(int id, float gainR, float gainG, float gainB)
{
std::map<int, PointCloudDrawable*>::iterator iter=pointClouds_.find(id);
if(iter != pointClouds_.end())
{
iter->second->setGains(gainR, gainG, gainB);
}
}
void Scene::setGridColor(float r, float g, float b)
{
if(grid_)
{
grid_->SetColor(r, g, b);
}
}

218
app/android/jni/scene.h Normal file
View File

@@ -0,0 +1,218 @@
/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_POINT_CLOUD_SCENE_H_
#define TANGO_POINT_CLOUD_SCENE_H_
#ifdef __ANDROID__
#include <jni.h>
#endif
#include <memory>
#include <set>
#include "CameraMobile.h"
#include <tango-gl/axis.h>
#include <tango-gl/camera.h>
#include <tango-gl/color.h>
#include <tango-gl/gesture_camera.h>
#include <tango-gl/grid.h>
#include <tango-gl/frustum.h>
#include <tango-gl/trace.h>
#include <tango-gl/transform.h>
#include <tango-gl/util.h>
#include <rtabmap/core/Transform.h>
#include <rtabmap/core/Link.h>
#include "point_cloud_drawable.h"
#include "graph_drawable.h"
#include "bounding_box_drawable.h"
#include "background_renderer.h"
#include <pcl/point_cloud.h>
#include <pcl/point_types.h>
// Scene provides OpenGL drawable objects and renders them for visualization.
class Scene {
public:
// Constructor and destructor.
Scene();
~Scene();
// Allocate OpenGL resources for rendering.
void InitGLContent();
// Release non-OpenGL allocated resources.
void DeleteResources();
// Setup GL view port.
void SetupViewPort(int w, int h);
int getViewPortWidth() const {return screenWidth_;}
int getViewPortHeight() const {return screenHeight_;}
rtabmap::ScreenRotation getScreenRotation() const {return color_camera_to_display_rotation_;}
void setScreenRotation(rtabmap::ScreenRotation colorCameraToDisplayRotation) {color_camera_to_display_rotation_ = colorCameraToDisplayRotation;}
void clear(); // removed all point clouds
// Render loop.
// @param: cur_pose_transformation, latest pose's transformation.
// @param: point_cloud_transformation, pose transformation at point cloud
// frame's timestamp.
// @param: point_cloud_vertices, point cloud's vertices of the current point
// frame.
int Render(const float * uvsTransformed = 0, glm::mat4 arViewMatrix = glm::mat4(0), glm::mat4 arProjectionMatrix=glm::mat4(0), const rtabmap::Mesh & occlusionMesh=rtabmap::Mesh(), bool mapping=false);
// Set render camera's viewing angle, first person, third person or top down.
//
// @param: camera_type, camera type includes first person, third person and
// top down
void SetCameraType(tango_gl::GestureCamera::CameraType camera_type);
tango_gl::GestureCamera::CameraType GetCameraType() const {return gesture_camera_->GetCameraType();}
void SetCameraPose(const rtabmap::Transform & pose); // opengl camera
rtabmap::Transform GetCameraPose() const {return currentPose_!=0?*currentPose_:rtabmap::Transform();}
rtabmap::Transform GetOpenGLCameraPose(float * fov = 0) const;
// Touch event passed from android activity. This function only support two
// touches.
//
// @param: touch_count, total count for touches.
// @param: event, touch event of current touch.
// @param: x0, normalized touch location for touch 0 on x axis.
// @param: y0, normalized touch location for touch 0 on y axis.
// @param: x1, normalized touch location for touch 1 on x axis.
// @param: y1, normalized touch location for touch 1 on y axis.
void OnTouchEvent(int touch_count, tango_gl::GestureCamera::TouchEvent event,
float x0, float y0, float x1, float y1);
void updateGraph(
const std::map<int, rtabmap::Transform> & poses,
const std::multimap<int, rtabmap::Link> & links);
void setGraphVisible(bool visible);
void setGridVisible(bool visible);
void setTraceVisible(bool visible);
void setFrustumVisible(bool visible);
void addMarker(int id, const rtabmap::Transform & pose);
void setMarkerPose(int id, const rtabmap::Transform & pose);
bool hasMarker(int id) const;
void removeMarker(int id);
std::set<int> getAddedMarkers() const;
void addCloud(
int id,
const pcl::PointCloud<pcl::PointXYZRGB>::Ptr & cloud,
const pcl::IndicesPtr & indices,
const rtabmap::Transform & pose);
void addMesh(
int id,
const rtabmap::Mesh & mesh,
const rtabmap::Transform & pose,
bool createWireframe = false);
void setCloudPose(int id, const rtabmap::Transform & pose);
void setCloudVisible(int id, bool visible);
bool hasCloud(int id) const;
bool hasMesh(int id) const;
bool hasTexture(int id) const;
std::set<int> getAddedClouds() const;
void updateCloudPolygons(int id, const std::vector<pcl::Vertices> & polygons);
void updateMesh(int id, const rtabmap::Mesh & mesh);
void updateGains(int id, float gainR, float gainG, float gainB);
void setBlending(bool enabled) {blending_ = enabled;}
void setMapRendering(bool enabled) {mapRendering_ = enabled;}
void setMeshRendering(bool enabled, bool withTexture) {meshRendering_ = enabled; meshRenderingTexture_ = withTexture;}
void setPointSize(float size) {pointSize_ = size;}
void setFOV(float angle);
void setOrthoCropFactor(float value);
void setGridRotation(float angleDeg);
void setLighting(bool enabled) {lighting_ = enabled;}
void setBackfaceCulling(bool enabled) {backfaceCulling_ = enabled;}
void setWireframe(bool enabled) {wireFrame_ = enabled;}
void setBackgroundColor(float r, float g, float b) {r_=r; g_=g; b_=b;} // 0.0f <> 1.0f
void setGridColor(float r, float g, float b);
bool isBlending() const {return blending_;}
bool isMapRendering() const {return mapRendering_;}
bool isMeshRendering() const {return meshRendering_;}
bool isMeshTexturing() const {return meshRendering_ && meshRenderingTexture_;}
float getPointSize() const {return pointSize_;}
bool isLighting() const {return lighting_;}
bool isBackfaceCulling() const {return backfaceCulling_;}
bool isWireframe() const {return wireFrame_;}
BackgroundRenderer * background_renderer_;
private:
// Camera object that allows user to use touch input to interact with.
tango_gl::GestureCamera* gesture_camera_;
// Device axis (in device frame of reference).
tango_gl::Axis* axis_;
// Device frustum.
tango_gl::Frustum* frustum_;
// Ground grid.
tango_gl::Grid* grid_;
// Bounding box
BoundingBoxDrawable * box_;
// Trace of pose data.
tango_gl::Trace* trace_;
GraphDrawable * graph_;
bool graphVisible_;
bool gridVisible_;
bool traceVisible_;
bool frustumVisible_;
std::map<int, tango_gl::Axis*> markers_;
rtabmap::ScreenRotation color_camera_to_display_rotation_;
std::map<int, PointCloudDrawable*> pointClouds_;
rtabmap::Transform * currentPose_;
// Shader to display point cloud.
GLuint graph_shader_program_;
bool blending_;
bool mapRendering_;
bool meshRendering_;
bool meshRenderingTexture_;
float pointSize_;
bool boundingBoxRendering_;
bool lighting_;
bool backfaceCulling_;
bool wireFrame_;
float r_;
float g_;
float b_;
GLuint fboId_;
GLuint rboId_;
GLuint depthTextures_[2]; // 0=objects+occlusion 1=objects only
GLsizei screenWidth_;
GLsizei screenHeight_;
bool doubleTapOn_;
cv::Point2f doubleTapPos_;
};
#endif // TANGO_POINT_CLOUD_SCENE_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "tango-gl/axis.h"
#include "tango-gl/shaders.h"
namespace tango_gl {
static const float float_vertices[] = {0.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f,
0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f,
0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f};
static const float float_colors[] = {
1.0f, 0.0f, 0.0f, 1.0f, 1.0f, 0.0f, 0.0f, 1.0f, 0.0f, 1.0f, 0.0f, 1.0f,
0.0f, 1.0f, 0.0f, 1.0f, 0.0f, 0.0f, 1.0f, 1.0f, 0.0f, 0.0f, 1.0f, 1.0f};
Axis::Axis() : Line(3.0f, GL_LINES) {
// Implement SetShader here, not using the dedault one.
shader_program_ =
util::CreateProgram(shaders::GetColorVertexShader().c_str(),
shaders::GetBasicFragmentShader().c_str());
if (!shader_program_) {
LOGE("Could not create program.");
}
uniform_mvp_mat_ = glGetUniformLocation(shader_program_, "mvp");
attrib_colors_ = glGetAttribLocation(shader_program_, "color");
attrib_vertices_ = glGetAttribLocation(shader_program_, "vertex");
size_t size = sizeof(float_vertices) / (sizeof(float) * 3);
for (size_t i = 0; i < size; i++) {
vec_vertices_.push_back(glm::vec3(float_vertices[i * 3],
float_vertices[i * 3 + 1],
float_vertices[i * 3 + 2]));
vec_colors_.push_back(
glm::vec4(float_colors[i * 4], float_colors[i * 4 + 1],
float_colors[i * 4 + 2], float_colors[i * 4 + 3]));
}
}
void Axis::Render(const glm::mat4& projection_mat,
const glm::mat4& view_mat) const {
glUseProgram(shader_program_);
glLineWidth(line_width_);
glm::mat4 model_mat = GetTransformationMatrix();
glm::mat4 mvp_mat = projection_mat * view_mat * model_mat;
glUniformMatrix4fv(uniform_mvp_mat_, 1, GL_FALSE, glm::value_ptr(mvp_mat));
glEnableVertexAttribArray(attrib_vertices_);
glVertexAttribPointer(attrib_vertices_, 3, GL_FLOAT, GL_FALSE,
sizeof(glm::vec3), &vec_vertices_[0]);
glEnableVertexAttribArray(attrib_colors_);
glVertexAttribPointer(attrib_colors_, 4, GL_FLOAT, GL_FALSE,
sizeof(glm::vec4), &vec_colors_[0]);
glDrawArrays(render_mode_, 0, vec_vertices_.size());
glDisableVertexAttribArray(attrib_vertices_);
glDisableVertexAttribArray(attrib_colors_);
glUseProgram(0);
}
} // namespace tango_gl

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "tango-gl/band.h"
#include "tango-gl/util.h"
namespace tango_gl {
// Set band resolution to 0.01m(1cm) when using UpdateVertexArray()
static const float kMinDistanceSquared = 0.0001f;
Band::Band(const unsigned int max_length)
: band_width_(0.2), max_length_(max_length) {
SetShader();
vertices_v_.reserve(max_length);
pivot_left = glm::vec3(0, 0, 0);
pivot_right = glm::vec3(0, 0, 0);
}
void Band::SetWidth(const float width) {
band_width_ = width;
}
void Band::UpdateVertexArray(const glm::mat4 m, BandMode mode) {
// First 2 vertices of a band + 3 arrow head vertices.
bool need_to_initialize = (vertices_v_.size() < 5);
bool sufficient_delta = false;
if (!need_to_initialize) {
// Band head is the first two vertices after arrow head.
glm::vec3 band_front = 0.5f * (vertices_v_[vertices_v_.size() - 4] +
vertices_v_[vertices_v_.size() - 5]);
sufficient_delta = kMinDistanceSquared <
util::DistanceSquared(band_front, util::GetTranslationFromMatrix(m));
}
if (need_to_initialize || sufficient_delta) {
glm::vec3 left = glm::vec3(-band_width_ * 0.5f, 0, 0);
glm::vec3 right = glm::vec3(band_width_ * 0.5f, 0, 0);
glm::vec3 arrow_left = glm::vec3(-band_width_ * 0.75f, 0, 0);
glm::vec3 arrow_right = glm::vec3(band_width_ * 0.75f, 0, 0);
glm::vec3 arrow_front = glm::vec3(0, 0, -band_width_ * 0.75f);
// If keep right pivot point, or normal mode,
// then only update left pivot point.
if (mode == BandMode::kNormal || mode == BandMode::kKeepRight) {
pivot_left = util::ApplyTransform(m, left);
}
// If keep left pivot point, or normal mode,
// then only update right pivot point.
if (mode == BandMode::kNormal || mode == BandMode::kKeepLeft) {
pivot_right = util::ApplyTransform(m, right);
}
glm::mat4 head_m = m;
if (mode != BandMode::kNormal) {
glm::vec3 up = glm::vec3(0, 1.0f, 0);
glm::vec3 position = 0.5f * (pivot_left + pivot_right);
glm::vec3 heading = glm::cross(up, pivot_right-pivot_left);
head_m = glm::inverse(glm::lookAt(glm::vec3(0, 0, 0), heading, up));
head_m[3][0] = position.x;
head_m[3][1] = position.y;
head_m[3][2] = position.z;
}
if (need_to_initialize) {
vertices_v_.resize(5);
} else {
vertices_v_.resize(vertices_v_.size() + 2);
}
size_t insertion_start = vertices_v_.size() - 5;
vertices_v_[insertion_start + 0] = pivot_left;
vertices_v_[insertion_start + 1] = pivot_right;
vertices_v_[insertion_start + 2] = util::ApplyTransform(head_m, arrow_left);
vertices_v_[insertion_start + 3] = util::ApplyTransform(head_m, arrow_right);
vertices_v_[insertion_start + 4] = util::ApplyTransform(head_m, arrow_front);
if (vertices_v_.size() > max_length_) {
vertices_v_.erase(vertices_v_.begin(), vertices_v_.begin() + 2);
}
}
}
void Band::UpdateVertexArray(const glm::mat4 m) {
// Defualt to call update with normal mode.
UpdateVertexArray(m, BandMode::kNormal);
}
void Band::SetVertexArray(const std::vector<glm::vec3>& v,
const glm::vec3& up) {
vertices_v_.clear();
vertices_v_.reserve(2 * v.size());
if (v.size() < 2)
return;
for (size_t i = 0; i < v.size() - 1; ++i) {
glm::vec3 gl_p_world_a = v[i];
glm::vec3 gl_p_world_b = v[i + 1];
glm::vec3 dir = glm::normalize(gl_p_world_b - gl_p_world_a);
glm::vec3 left = glm::cross(up, dir);
glm::normalize(left);
vertices_v_.push_back(gl_p_world_a + (band_width_ / 2.0f * left));
vertices_v_.push_back(gl_p_world_a - (band_width_ / 2.0f * left));
// Cap the end of the path.
if (i == v.size() - 2) {
vertices_v_.push_back(gl_p_world_b + (band_width_ / 2.0f * left));
vertices_v_.push_back(gl_p_world_b - (band_width_ / 2.0f * left));
}
}
}
void Band::ClearVertexArray() { vertices_v_.clear(); }
void Band::Render(const glm::mat4& projection_mat,
const glm::mat4& view_mat) const {
glUseProgram(shader_program_);
glm::mat4 model_mat = GetTransformationMatrix();
glm::mat4 mvp_mat = projection_mat * view_mat * model_mat;
glUniformMatrix4fv(uniform_mvp_mat_, 1, GL_FALSE, glm::value_ptr(mvp_mat));
glUniform4f(uniform_color_, red_, green_, blue_, alpha_);
glEnableVertexAttribArray(attrib_vertices_);
glVertexAttribPointer(attrib_vertices_, 3, GL_FLOAT, GL_FALSE,
sizeof(glm::vec3), &vertices_v_[0]);
glDrawArrays(GL_TRIANGLE_STRIP, 0, vertices_v_.size());
glDisableVertexAttribArray(attrib_vertices_);
glUseProgram(0);
}
} // namespace tango_gl

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#include "tango-gl/bounding_box.h"
namespace tango_gl {
BoundingBox::BoundingBox(const std::vector<float>& vertices) {
// Set min and max to the first vertice.
bounding_min_ = glm::vec3(vertices[0], vertices[1], vertices[2]);
bounding_max_ = bounding_min_;
size_t vertices_count = vertices.size() / 3;
for (size_t i = 1; i < vertices_count; i += 3) {
bounding_min_.x = std::min(vertices[i * 3], bounding_min_.x);
bounding_min_.y = std::min(vertices[i * 3 + 1], bounding_min_.y);
bounding_min_.z = std::min(vertices[i * 3 + 2], bounding_min_.z);
bounding_max_.x = std::max(vertices[i * 3], bounding_max_.x);
bounding_max_.y = std::max(vertices[i * 3 + 1], bounding_max_.y);
bounding_max_.z = std::max(vertices[i * 3 + 2], bounding_max_.z);
}
}
bool BoundingBox::IsIntersecting(const Segment& segment,
const glm::quat& rotation,
const glm::mat4& transformation) {
// The current bounding box.
glm::vec3 min, max;
// If the mesh has been rotated, we need to derive a new bounding box
// based on the original one, if it just been translated or scaled,
// we can still use the original one with current model matrix applied.
if (rotation == glm::quat(1.0f, 0.0f, 0.0f, 0.0f)) {
min = util::ApplyTransform(transformation, bounding_min_);
max = util::ApplyTransform(transformation, bounding_max_);
} else {
std::vector<glm::vec3> box;
// Derive 8 vertices of the new bounding box from original min and max.
box.push_back(bounding_min_);
box.push_back(bounding_max_);
box.push_back(glm::vec3(bounding_min_.x, bounding_max_.y, bounding_max_.z));
box.push_back(glm::vec3(bounding_max_.x, bounding_min_.y, bounding_min_.z));
box.push_back(glm::vec3(bounding_min_.x, bounding_min_.y, bounding_max_.z));
box.push_back(glm::vec3(bounding_max_.x, bounding_max_.y, bounding_min_.z));
box.push_back(glm::vec3(bounding_max_.x, bounding_min_.y, bounding_max_.z));
box.push_back(glm::vec3(bounding_min_.x, bounding_max_.y, bounding_min_.z));
min = util::ApplyTransform(transformation, bounding_min_);
max = min;
for (size_t i = 1; i < box.size(); i++) {
glm::vec3 temp = util::ApplyTransform(transformation, box[i]);
min.x = std::min(temp.x, min.x);
min.y = std::min(temp.y, min.y);
min.z = std::min(temp.z, min.z);
max.x = std::max(temp.x, max.x);
max.y = std::max(temp.y, max.y);
max.z = std::max(temp.z, max.z);
}
}
return util::SegmentAABBIntersect(min, max, segment.start, segment.end);
}
} // namespace tango_gl

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "tango-gl/camera.h"
#include "tango-gl/util.h"
namespace tango_gl {
Camera::Camera() {
field_of_view_ = 45.0f * DEGREE_2_RADIANS;
aspect_ratio_ = 4.0f / 3.0f;
width_ = 800.0f;
height_ = 600.0f;
near_clip_plane_ = 0.5f;
far_clip_plane_ = 50.0f;
ortho_ = false;
orthoScale_ = 2.0f;
orthoCropFactor_ = -1.0f;
}
glm::mat4 Camera::GetViewMatrix() {
return glm::inverse(GetTransformationMatrix());
}
glm::mat4 Camera::GetProjectionMatrix() {
if(ortho_)
{
return glm::ortho(-orthoScale_*aspect_ratio_, orthoScale_*aspect_ratio_, -orthoScale_, orthoScale_, orthoScale_ + orthoCropFactor_, far_clip_plane_);
}
return glm::perspective(field_of_view_, aspect_ratio_, near_clip_plane_, far_clip_plane_);
}
void Camera::SetWindowSize(float width, float height) {
width_ = width;
height_ = height;
aspect_ratio_ = width/height;
}
void Camera::SetFieldOfView(float fov) {
field_of_view_ = fov * DEGREE_2_RADIANS;
}
void Camera::SetNearFarClipPlanes(const float near, const float far)
{
near_clip_plane_ = near;
far_clip_plane_ = far;
}
Camera::~Camera() {
}
glm::mat4 Camera::ProjectionMatrixForCameraIntrinsics(float width, float height,
float fx, float fy,
float cx, float cy,
float near, float far) {
const float xscale = near / fx;
const float yscale = near / fy;
const float xoffset = (cx - (width / 2.0)) * xscale;
// Color camera's coordinates has y pointing downwards so we negate this term.
const float yoffset = -(cy - (height / 2.0)) * yscale;
return glm::frustum(xscale * -width / 2.0f - xoffset,
xscale * width / 2.0f - xoffset,
yscale * -height / 2.0f - yoffset,
yscale * height / 2.0f - yoffset,
near, far);
}
} // namespace tango_gl

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "tango-gl/circle.h"
namespace tango_gl {
Circle::Circle(float radius, int resolution) : Mesh(GL_TRIANGLE_FAN){
SetShader();
std::vector<GLfloat> vertices;
vertices.reserve(3 * (resolution + 2));
vertices.push_back(0);
vertices.push_back(0);
vertices.push_back(0);
float delta_theta = M_PI * 2.0f / static_cast<float>(resolution);
for (int i = resolution; i >= 0; i--) {
float theta = delta_theta * static_cast<float>(i);
vertices.push_back(cos(theta) * radius);
vertices.push_back(0);
vertices.push_back(sin(theta) * radius);
}
SetVertices(vertices);
}
} // namespace tango_gl

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "tango-gl/conversions.h"
namespace tango_gl {
namespace conversions {
glm::mat4 opengl_world_T_tango_world() {
// Note glm is column-wise.
return glm::mat4(1.0f, 0.0f, 0.0f, 0.0f,
0.0f, 0.0f, -1.0f, 0.0f,
0.0f, 1.0f, 0.0f, 0.0f,
0.0f, 0.0f, 0.0f, 1.0f);
}
glm::mat4 color_camera_T_opengl_camera() {
// Note glm is column-wise.
return glm::mat4(1.0f, 0.0f, 0.0f, 0.0f,
0.0f, -1.0f, 0.0f, 0.0f,
0.0f, 0.0f, -1.0f, 0.0f,
0.0f, 0.0f, 0.0f, 1.0f);
}
glm::mat4 depth_camera_T_opengl_camera() {
// Note glm is column-wise.
return glm::mat4(1.0f, 0.0f, 0.0f, 0.0f, 0.0f, -1.0f, 0.0f, 0.0f, 0.0f, 0.0f,
-1.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f);
}
glm::quat QuatTangoToGl(const glm::quat& tango_q_frame) {
const float kSqrt2Over2 = std::sqrt(2.0) / 2.0f;
// Tango frame is a -90 degree rotation about +X from the GL frame.
glm::quat gl_q_tango = glm::quat(kSqrt2Over2, -kSqrt2Over2, 0.0f, 0.0f);
return gl_q_tango * tango_q_frame;
}
} // namespace gl_tango_conversions
} // namespace tango_gl

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "tango-gl/cube.h"
namespace tango_gl {
static const GLfloat const_vertices[] = {
-1.0f, 1.0f, 1.0f, -1.0f, -1.0f, 1.0f, 1.0f, 1.0f, 1.0f, -1.0f, -1.0f,
1.0f, 1.0f, -1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f,
-1.0f, 1.0f, 1.0f, 1.0f, -1.0f, 1.0f, -1.0f, 1.0f, 1.0f, -1.0f, -1.0f,
1.0f, 1.0f, -1.0f, 1.0f, 1.0f, -1.0f, 1.0f, -1.0f, -1.0f, -1.0f, 1.0f,
-1.0f, 1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, 1.0f, -1.0f, -1.0f,
1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f, 1.0f, 1.0f, -1.0f, -1.0f, -1.0f,
-1.0f, -1.0f, 1.0f, -1.0f, 1.0f, 1.0f, -1.0f, 1.0f, -1.0f, -1.0f, 1.0f,
1.0f, 1.0f, 1.0f, -1.0f, -1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f,
1.0f, -1.0f, 1.0f, -1.0f, -1.0f, 1.0f, -1.0f, 1.0f, -1.0f, -1.0f, -1.0f,
1.0f, -1.0f, 1.0f, -1.0f, -1.0f, 1.0f, -1.0f, -1.0f, -1.0f};
static const GLfloat const_normals[] = {
0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f,
1.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 1.0f, 1.0f, 0.0f, 0.0f, 1.0f,
0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f,
1.0f, 0.0f, 0.0f, 0.0f, 0.0f, -1.0f, 0.0f, 0.0f, -1.0f, 0.0f, 0.0f,
-1.0f, 0.0f, 0.0f, -1.0f, 0.0f, 0.0f, -1.0f, 0.0f, 0.0f, -1.0f, -1.0f,
0.0f, 0.0f, -1.0f, 0.0f, 0.0f, -1.0f, 0.0f, 0.0f, -1.0f, 0.0f, 0.0f,
-1.0f, 0.0f, 0.0f, -1.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 1.0f,
0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f,
1.0f, 0.0f, 0.0f, -1.0f, 0.0f, 0.0f, -1.0f, 0.0f, 0.0f, -1.0f, 0.0f,
0.0f, -1.0f, 0.0f, 0.0f, -1.0f, 0.0f, 0.0f, -1.0f, 0.0f};
Cube::Cube() {
SetShader(true);
std::vector<GLfloat> vertices(
const_vertices,
const_vertices + sizeof(const_vertices) / sizeof(GLfloat));
std::vector<GLfloat> normals(
const_normals, const_normals + sizeof(const_normals) / sizeof(GLfloat));
SetVertices(vertices, normals);
}
} // namespace tango_gl

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "tango-gl/drawable_object.h"
#include "tango-gl/shaders.h"
namespace tango_gl {
void DrawableObject::SetShader() {
shader_program_ =
util::CreateProgram(shaders::GetBasicVertexShader().c_str(),
shaders::GetBasicFragmentShader().c_str());
if (!shader_program_) {
LOGE("Could not create program.");
}
uniform_mvp_mat_ = glGetUniformLocation(shader_program_, "mvp");
attrib_vertices_ = glGetAttribLocation(shader_program_, "vertex");
uniform_color_ = glGetUniformLocation(shader_program_, "color");
}
void DrawableObject::DeleteGlResources() {
if (shader_program_) {
glDeleteShader(shader_program_);
}
}
void DrawableObject::SetColor(float red, float green, float blue) {
red_ = red;
green_ = green;
blue_ = blue;
}
void DrawableObject::SetColor(const Color& color) {
SetColor(color.r, color.g, color.b);
}
void DrawableObject::SetAlpha(const float alpha) { alpha_ = alpha; }
void DrawableObject::SetVertices(const std::vector<GLfloat>& vertices) {
vertices_ = vertices;
}
void DrawableObject::SetVertices(const std::vector<GLfloat>& vertices,
const std::vector<GLushort>& indices) {
vertices_ = vertices;
indices_ = indices;
}
void DrawableObject::SetVertices(const std::vector<GLfloat>& vertices,
const std::vector<GLfloat>& normals) {
vertices_ = vertices;
normals_ = normals;
}
} // namespace tango_gl

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "tango-gl/frustum.h"
namespace tango_gl {
static const float float_vertices[] = {
0.0f, 0.0f, 0.0f, -1.0f, 1.0f, -1.0f,
0.0f, 0.0f, 0.0f, 1.0f, 1.0f, -1.0f,
0.0f, 0.0f, 0.0f, -1.0f, -1.0f, -1.0f,
0.0f, 0.0f, 0.0f, 1.0f, -1.0f, -1.0f,
-1.0f, 1.0f, -1.0f, 1.0f, 1.0f, -1.0f,
1.0f, 1.0f, -1.0f, 1.0f, -1.0f, -1.0f,
1.0f, -1.0f, -1.0f, -1.0f, -1.0f, -1.0f,
-1.0f, -1.0f, -1.0f, -1.0f, 1.0f, -1.0f};
Frustum::Frustum() : Line(3.0f, GL_LINES) {
SetShader();
size_t size = sizeof(float_vertices) / sizeof(float);
for (size_t i = 0; i < size; i += 3) {
vec_vertices_.push_back(glm::vec3(float_vertices[i], float_vertices[i + 1],
float_vertices[i + 2]));
}
}
} // namespace tango_gl

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "tango-gl/gesture_camera.h"
#include "tango-gl/util.h"
#include "glm/gtx/quaternion.hpp"
namespace {
// Render camera observation distance in third person camera mode.
const float kThirdPersonCameraDist = 7.0f;
// Render camera observation distance in third person camera mode.
const float kThirdPersonFollowCameraDist = 2.0f;
// Render camera observation distance in top down camera mode.
const float kTopDownCameraDist = 5.0f;
// Zoom in speed.
const float kZoomSpeed = 10.0f;
// Move speed
const float kMoveSpeed = 10.0f;
// Rotation speed
const float kRotationSpeed = 2.0f;
// Min/max clamp value of camera observation distance.
const float kCamViewMinDist = .1f;
const float kCamViewMaxDist = 100.f;
// FOV set up values.
// Third and top down camera's FOV is 65 degrees.
// First person camera's FOV is 85 degrees.
const float kHighestFov = 120.0f;
const float kHighFov = 85.0f;
const float kLowFov = 65.0f;
const float kLowestFov = 40.0f;
}
namespace tango_gl {
GestureCamera::GestureCamera() :
cam_cur_target_rot_(1,0,0,0),
start_touch_dist_(0.0f),
cur_touch_dist_(0.0f)
{
cam_parent_transform_ = new Transform();
SetParent(cam_parent_transform_);
}
GestureCamera::~GestureCamera() { delete cam_parent_transform_; }
void GestureCamera::OnTouchEvent(int touch_count, TouchEvent event, float x0,
float y0, float x1, float y1) {
if (camera_type_!=kFirstPerson && touch_count == 1) {
switch (event) {
case kTouch0Down: {
cam_start_angle_ = cam_cur_angle_;
touch0_start_position_.x = x0;
touch0_start_position_.y = y0;
break;
}
case kTouchMove: {
glm::vec2 offset;
float rotation_x = (touch0_start_position_.y - y0) * kRotationSpeed;
float rotation_y = (touch0_start_position_.x - x0) * kRotationSpeed;
if(camera_type_!=kTopOrtho)
cam_cur_angle_.x = cam_start_angle_.x + rotation_x;
cam_cur_angle_.y = cam_start_angle_.y + rotation_y;
StartCameraToCurrentTransform();
break;
}
default: { break; }
}
}
if (touch_count == 2) {
switch (event) {
case kTouch1Down: {
float abs_x = x0 - x1;
float abs_y = y0 - y1;
start_touch_dist_ = std::sqrt(abs_x * abs_x + abs_y * abs_y);
cam_start_dist_ = GetPosition().z;
cam_start_fov_ = this->getFOV();
// center touch
touch0_start_position_.x = (x0+x1)/2.0f;
touch0_start_position_.y = (y0+y1)/2.0f;
break;
}
case kTouchMove: {
float abs_x = x0 - x1;
float abs_y = y0 - y1;
float dist = start_touch_dist_ - std::sqrt(abs_x * abs_x + abs_y * abs_y);
if(camera_type_ == kFirstPerson)
{
this->SetFieldOfView(tango_gl::util::Clamp(cam_start_fov_ + dist * kZoomSpeed*10.0f, kLowestFov, kHighestFov));
}
else
{
cam_cur_dist_ = tango_gl::util::Clamp(cam_start_dist_ + dist * kZoomSpeed,
kCamViewMinDist, kCamViewMaxDist);
this->SetOrthoMode(camera_type_ == kTopOrtho);
if(camera_type_ == kTopOrtho)
{
this->SetOrthoScale(cam_cur_dist_);
}
glm::vec2 touch_center_position((x0+x1)/2.0f, (y0+y1)/2.0f);
glm::vec2 offset;
offset.x = (touch_center_position.x - touch0_start_position_.x) * kMoveSpeed;
offset.y = (touch_center_position.y - touch0_start_position_.y) * kMoveSpeed;
touch0_start_position_ = touch_center_position;
StartCameraToCurrentTransform();
anchor_offset_ += glm::rotate(cam_parent_transform_->GetRotation(), glm::vec3(-offset.x, offset.y, 0));
}
break;
}
default: { break; }
}
}
}
Segment GestureCamera::GetSegmentFromTouch(float normalized_x,
float normalized_y,
float touch_range) {
float screen_height = touch_range * (2.0f * glm::tan(field_of_view_ * 0.5f));
float screen_width = screen_height * aspect_ratio_;
// normalized_x and normalized_x are from OnTouchEvent, top-left corner of the
// screen
// is [0, 0], transform it to opengl frame.
normalized_x = normalized_x - 0.5f;
normalized_y = 0.5f - normalized_y;
glm::vec3 start =
util::ApplyTransform(GetTransformationMatrix(), glm::vec3(0, 0, 0));
glm::vec3 end = util::ApplyTransform(GetTransformationMatrix(),
glm::vec3(normalized_x * screen_width, normalized_y * screen_height,
-touch_range));
Segment segment(start, end);
return segment;
}
void GestureCamera::SetAnchorPosition(const glm::vec3& pos, const glm::quat & rotation) {
// Anchor position
cam_parent_transform_->SetPosition(pos+anchor_offset_);
// Anchor rotation
if(camera_type_ == kThirdPersonFollow)
{
cam_cur_target_rot_ = rotation;
cam_cur_target_rot_.x = 0;
cam_cur_target_rot_.z = 0;
cam_cur_target_rot_ = glm::normalize(cam_cur_target_rot_);
StartCameraToCurrentTransform();
}
}
void GestureCamera::SetCameraType(CameraType camera_index) {
camera_type_ = camera_index;
switch (camera_index) {
case kFirstPerson:
SetOrthoMode(false);
SetFieldOfView(kLowestFov);
SetNearFarClipPlanes(0.1, 50);
SetPosition(glm::vec3(0.0f, 0.0f, 0.0f));
SetRotation(glm::quat(1.0f, 0.0f, 0.0f, 0.0f));
cam_cur_dist_ = 0.0f;
anchor_offset_ = glm::vec3(0.0f,0.0f,0.0f);
cam_cur_angle_.x = 0.0f;
cam_cur_angle_.y = 0.0f;
cam_cur_target_rot_ = glm::quat(1,0,0,0);
cam_parent_transform_->SetPosition(glm::vec3(0.0f, 0.0f, 0.0f));
StartCameraToCurrentTransform();
break;
case kThirdPerson:
case kThirdPersonFollow:
SetOrthoMode(false);
SetFieldOfView(kLowFov);
SetNearFarClipPlanes(1, 50);
SetPosition(glm::vec3(0.0f, 0.0f, 0.0f));
SetRotation(glm::quat(1.0f, 0.0f, 0.0f, 0.0f));
cam_cur_dist_ = camera_index==kThirdPersonFollow?kThirdPersonFollowCameraDist:kThirdPersonCameraDist;
anchor_offset_ = glm::vec3(0.0f,0.0f,0.0f);
cam_cur_angle_.x = -M_PI / 12.0f;
cam_cur_angle_.y = kThirdPersonFollow?0:M_PI / 2.0f;
cam_cur_target_rot_ = glm::quat(1,0,0,0);
StartCameraToCurrentTransform();
break;
case kTopDown:
SetPosition(glm::vec3(0.0f, 0.0f, 0.0f));
SetRotation(glm::quat(1.0f, 0.0f, 0.0f, 0.0f));
SetOrthoMode(false);
SetFieldOfView(kLowFov);
SetNearFarClipPlanes(1, 50);
cam_cur_dist_ = kTopDownCameraDist;
anchor_offset_ = glm::vec3(0.0f,0.0f,0.0f);
cam_cur_angle_.x = -M_PI / 2.0f;
cam_cur_angle_.y = 0.0f;
cam_cur_target_rot_ = glm::quat(1,0,0,0);
StartCameraToCurrentTransform();
break;
case kTopOrtho:
SetPosition(glm::vec3(0.0f, 0.0f, 0.0f));
SetRotation(glm::quat(1.0f, 0.0f, 0.0f, 0.0f));
SetOrthoMode(true);
SetOrthoScale(kTopDownCameraDist);
SetOrthoCropFactor(-1.0f);
SetFieldOfView(kLowFov);
SetNearFarClipPlanes(1, 50);
cam_cur_dist_ = kTopDownCameraDist;
anchor_offset_ = glm::vec3(0.0f,0.0f,0.0f);
cam_cur_angle_.x = -M_PI / 2.0f;
cam_cur_angle_.y = 0.0f;
cam_cur_target_rot_ = glm::quat(1,0,0,0);
StartCameraToCurrentTransform();
break;
default:
break;
}
}
void GestureCamera::StartCameraToCurrentTransform()
{
//Anchor rotation
glm::quat parent_cam_rot = glm::rotate(cam_cur_target_rot_, cam_cur_angle_.y, glm::vec3(0, 1, 0));
parent_cam_rot = glm::rotate(parent_cam_rot, cam_cur_angle_.x, glm::vec3(1, 0, 0));
cam_parent_transform_->SetRotation(parent_cam_rot);
//Camera position
SetPosition(glm::vec3(0, 0, cam_cur_dist_));
}
} // namespace tango_gl

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
* Distributed under the Project Tango Preview Development Kit (PDK) Agreement.
* CONFIDENTIAL. AUTHORIZED USE ONLY. DO NOT REDISTRIBUTE.
*/
#include "tango-gl/goal_marker.h"
namespace tango_gl {
static const GLfloat const_vertices[] = {
-4.5298f, -0.2676f, 0.0, -4.3209f, -1.3857f, 0.0, -3.7242f,
-11.1445f, 0.0, -5.6799f, -8.9811f, 0.0, -4.4540f, 0.8673f,
0.0, -7.8376f, -6.4508f, 0.0, -9.5223f, -3.0538f, 0.0,
-9.9826f, -0.5898f, 0.0, -9.8157f, 1.9113f, 0.0, -9.0320f,
4.2923f, 0.0, -7.6808f, 6.4036f, 0.0, -5.8469f, 8.1125f,
0.0, -3.6457f, 9.3117f, 0.0, -4.0984f, 1.9477f, 0.0,
-1.2155f, 9.9259f, 0.0, -3.4853f, 2.9057f, 0.0, 1.2912f,
9.9163f, 0.0, -2.6532f, 3.6812f, 0.0, 3.7167f, 9.2837f,
0.0, -1.6543f, 4.2254f, 0.0, 5.9087f, 8.0677f, 0.0,
-0.5515f, 4.5040f, 0.0, 7.7294f, 6.3448f, 0.0, 0.5859f,
4.4997f, 0.0, 9.0645f, 4.2232f, 0.0, 1.6865f, 4.2126f,
0.0, 9.8300f, 1.8363f, 0.0, 2.6812f, 3.6609f, 0.0,
9.9778f, -0.6660f, 0.0, 3.5074f, 2.8791f, 0.0, 9.4987f,
-3.1264f, 0.0, 4.1132f, 1.9164f, 0.0, 7.7964f, -6.5204f,
0.0, 4.4605f, 0.8333f, 0.0, 5.6245f, -9.0444f, 0.0,
4.5276f, -0.3022f, 0.0, 3.6572f, -11.1925f, 0.0, 4.3102f,
-1.4187f, 0.0, 1.5165f, -13.5960f, 0.0, 3.8220f, -2.4460f,
0.0, -0.0382f, -16.4245f, 0.0, 3.0936f, -3.3197f, 0.0,
-1.5902f, -13.5657f, 0.0, 2.1709f, -3.9847f, 0.0, -3.8405f,
-2.4168f, 0.0, -3.1189f, -3.2959f, 0.0, -2.2012f, -3.9680f,
0.0, -1.1452f, -4.3908f, 0.0, -0.0173f, -4.5377f, 0.0,
1.1117f, -4.3994f, 0.0};
static const GLushort const_indices[] = {
1, 2, 3, 1, 3, 4, 5, 1, 4, 4, 6, 7, 5, 4, 7, 7, 8, 9, 9,
10, 11, 7, 9, 11, 5, 7, 11, 5, 11, 12, 5, 12, 13, 14, 5, 13, 14, 13,
15, 16, 14, 15, 16, 15, 17, 18, 16, 17, 18, 17, 19, 20, 18, 19, 20, 19, 21,
22, 20, 21, 22, 21, 23, 24, 22, 23, 24, 23, 25, 26, 24, 25, 26, 25, 27, 28,
26, 27, 28, 27, 29, 30, 28, 29, 30, 29, 31, 32, 30, 31, 32, 31, 33, 34, 32,
33, 34, 33, 35, 36, 34, 35, 36, 35, 37, 38, 36, 37, 38, 37, 39, 40, 38, 39,
40, 39, 41, 42, 40, 41, 42, 41, 43, 44, 42, 43, 44, 43, 3, 3, 2, 45, 3,
45, 46, 3, 46, 47, 3, 47, 48, 3, 48, 49, 3, 49, 50, 44, 3, 50};
GoalMarker::GoalMarker() {
SetShader();
std::vector<GLfloat> vertices(
const_vertices,
const_vertices + sizeof(const_vertices) / sizeof(GLfloat));
std::vector<GLushort> indices(
const_indices, const_indices + sizeof(const_indices) / sizeof(GLushort));
// Change indices so they are zero-indexed.
for (size_t i = 0; i < indices.size(); ++i) {
indices[i] = indices[i] - 1;
}
SetVertices(vertices, indices);
}
} // namespace tango_gl

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "tango-gl/grid.h"
namespace tango_gl {
// Initialize Grid with x and y grid count,
// qx, quantity in x
// qy, quantity in y.
Grid::Grid(float density, int qx, int qy) : Line(1.0f, GL_LINES) {
SetShader();
// 3 float in 1 vertex, 2 vertices form a line.
// Horizontal line and vertical line forms the grid.
float width = density * qx / 2;
float height = density * qy / 2;
// Horizontal line.
for (int i = 0; i < (qy + 1); i++) {
for (int j = 0; j < (qx + 1); j++) {
vec_vertices_.push_back(glm::vec3(-width + j*density, 0.0f, -height + i * density));
vec_vertices_.push_back(glm::vec3(-width+ + (j+1)*density, 0.0f, -height + i * density));
}
}
for (int i = 0; i < (qx + 1); i++) {
for (int j = 0; j < (qy + 1); j++) {
vec_vertices_.push_back(glm::vec3(-width + i * density, 0.0f, -height + j*density));
vec_vertices_.push_back(glm::vec3(-width + i * density, 0.0f, -height + (j+1)*density));
}
}
}
} // namespace tango_gl

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_AXIS_H_
#define TANGO_GL_AXIS_H_
#include "tango-gl/line.h"
namespace tango_gl {
class Axis : public Line {
public:
Axis();
void Render(const glm::mat4& projection_mat, const glm::mat4& view_mat) const;
private:
GLuint attrib_colors_;
std::vector<glm::vec4> vec_colors_;
};
} // namespace tango_gl
#endif // TANGO_GL_AXIS_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_BAND_H_
#define TANGO_GL_BAND_H_
#include <stdlib.h>
#include <vector>
#include "tango-gl/drawable_object.h"
namespace tango_gl {
class Band : public DrawableObject {
public:
enum BandMode {
kNormal = 0,
kKeepLeft = 1,
kKeepRight = 2
};
Band(const unsigned int max_legnth);
void SetWidth(const float width);
// Render a Band with arrow head, pass in the mode for rendering,
// kKeepLeft is left turn, kKeepRight is right turn,
// when making a turn, vertices only get updated in one side to avoid overlapping.
void UpdateVertexArray(const glm::mat4 m, BandMode mode);
void UpdateVertexArray(const glm::mat4 m);
void SetVertexArray(const std::vector<glm::vec3>& v, const glm::vec3& up);
void ClearVertexArray();
void Render(const glm::mat4& projection_mat, const glm::mat4& view_mat) const;
private:
float band_width_;
unsigned int max_length_;
std::vector<glm::vec3> vertices_v_;
// Current band head's left and right position in world frame.
glm::vec3 pivot_left;
glm::vec3 pivot_right;
};
} // namespace tango_gl
#endif // TANGO_GL_BAND_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_BOUNDING_BOX_H_
#define TANGO_GL_BOUNDING_BOX_H_
#include <vector>
#include "tango-gl/segment.h"
#include "tango-gl/util.h"
namespace tango_gl {
class BoundingBox {
public:
BoundingBox()
: bounding_min_(glm::vec3(0, 0, 0)), bounding_max_(glm::vec3(0, 0, 0)) {}
BoundingBox(const std::vector<float>& vertices);
BoundingBox(const glm::vec3& min, const glm::vec3& max)
: bounding_min_(min), bounding_max_(max) {}
bool IsIntersecting(const Segment& segment, const glm::quat& rotation,
const glm::mat4& transformation);
private:
// Axis-aligned bounding box minimum and maximum point.
glm::vec3 bounding_min_;
glm::vec3 bounding_max_;
};
} // namespace tango_gl
#endif // TANGO_GL_BOUNDING_BOX_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_CAMERA_H_
#define TANGO_GL_CAMERA_H_
#include "tango-gl/transform.h"
namespace tango_gl {
class Camera : public Transform {
public:
Camera();
Camera(const Camera& other) = delete;
Camera& operator=(const Camera&) = delete;
~Camera();
void SetWindowSize(const float width, const float height);
void SetFieldOfView(const float fov);
void SetOrthoMode(bool enabled) {ortho_ = enabled;}
void SetOrthoScale(float scale) {orthoScale_ = scale;}
void SetOrthoCropFactor(float value) {orthoCropFactor_ = value;}
void SetNearFarClipPlanes(const float near, const float far);
glm::mat4 GetViewMatrix();
glm::mat4 GetProjectionMatrix();
float getNearClipPlane() const {return near_clip_plane_;}
float getFarClipPlane() const {return far_clip_plane_;}
/**
* Create an OpenGL perspective matrix from window size, camera intrinsics, and clip settings.
*
* @param width - The width of the camera image.
* @param height - The height of the camera image.
* @param fx - The x-axis focal length of the camera.
* @param fy - The y-axis focal length of the camera.
* @param cx - The x-coordinate principal point in pixels.
* @param cy - The y-coordinate principal point in pixels.
* @param near - The desired near z-clipping plane.
* @param far - The desired far z-clipping plane.
*/
static glm::mat4 ProjectionMatrixForCameraIntrinsics(float width, float height,
float fx, float fy,
float cx, float cy,
float near, float far);
protected:
float field_of_view_;
float aspect_ratio_;
float width_;
float height_;
float near_clip_plane_, far_clip_plane_;
bool ortho_;
float orthoScale_;
float orthoCropFactor_;
};
} // namespace tango_gl
#endif // TANGO_GL_CAMERA_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_CIRCLE_H_
#define TANGO_GL_CIRCLE_H_
#include "tango-gl/mesh.h"
namespace tango_gl {
class Circle : public Mesh {
public:
Circle(float radius, int resolution);
};
} // namespace tango_gl
#endif // TANGO_GL_CIRCLE_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_COLOR_H_
#define TANGO_GL_COLOR_H_
namespace tango_gl {
class Color {
public:
Color() : r(0), g(0), b(0) {}
Color(float red, float green, float blue) : r(red), g(green), b(blue) {}
Color(const Color&) = default;
Color& operator=(const Color&) = default;
float r;
float g;
float b;
};
} // namespace tango_gl
#endif // TANGO_GL_COLOR_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_GL_TANGO_CONVERSIONS_H_
#define TANGO_GL_GL_TANGO_CONVERSIONS_H_
#define GLM_FORCE_RADIANS
#include "glm/glm.hpp"
#include "glm/gtc/matrix_transform.hpp"
#include "glm/gtc/quaternion.hpp"
namespace tango_gl {
namespace conversions {
/**
* @brief Creates a glm::vec3 from double[3] = {x, y, z}. This is designed to
* work with the TangoPoseData.translation field.
*/
inline glm::vec3 Vec3FromArray(const double* array) {
return glm::vec3(array[0], array[1], array[2]);
}
/**
* @brief Creates a glm::quat from double[4] = {x, y, z, w}. This is designed to
* work with the TangoPoseData.orientation field.
*/
inline glm::quat QuatFromArray(const double* array) {
// Note GLM expects arguments in order {w, x, y, z}.
return glm::quat(array[3], array[0], array[1], array[2]);
}
/**
* @brief Creates a glm::mat4 rigid-frame transformation matrix from two arrays.
* This is designed for the TangoPoseData translation and orientation fields.
* @param A_p_B Position [x, y, z] of B_origin from A_origin, expressed in A.
* @param A_q_B The quaternion representation [x, y, z, w] of the rotation
* matrix A_R_B.
* @return The transformation matrix A_T_B.
*/
inline glm::mat4 TransformFromArrays(const double* A_p_B, const double* A_q_B) {
glm::vec3 glm_A_p_B = Vec3FromArray(A_p_B);
glm::quat glm_A_q_B = QuatFromArray(A_q_B);
return glm::translate(glm::mat4(1.0f), glm_A_p_B) * glm::mat4_cast(glm_A_q_B);
}
/**
* @brief Creates a glm::mat4 rigid-frame transformation matrix from glm::vec3 and glm::quat.
* This is designed for the TangoPoseData translation and orientation fields.
* @param A_p_B A position vector of B_origin from A_origin, expressed in A.
* @param A_q_B A quaternion representation of the rotation.
* matrix A_R_B.
* @return The transformation matrix A_T_B.
*/
inline glm::mat4 TransformFromVecAndQuat(const glm::vec3& A_p_B, const glm::quat& A_q_B) {
return glm::translate(glm::mat4(1.0f), A_p_B) * glm::mat4_cast(A_q_B);
}
/**
* @brief Convert (re-express, or rotate) a vector from the Tango ADF (or start-
* of-service) frame convention [right, forward, up] to the typical OpenGl world
* frame convention [right, up, backward]. Note this assumes the two frames are
* coincident, and it doesn't know about any additional offsets between a
* particular OpenGl scene and the Tango service frames.
* @param tango_vec A vector expressed in the Tango ADF frame convention.
* @return The same vector expressed using the Opengl frame convention.
*/
inline glm::vec3 Vec3TangoToGl(const glm::vec3& tango_vec) {
return glm::vec3(tango_vec.x, tango_vec.z, -tango_vec.y);
}
/**
* @brief Convert (re-express, or rotate) a vector from the typical OpenGl world
* frame convention [right, up, backward] to the Tango ADF (or start-of-service)
* frame convention [right, forward, up]. Note this assumes the two frames are
* coincident, and it doesn't know about any additional offsets between a
* particular OpenGl scene and the Tango service frames.
* @param gl_vec A vector expressed in the Opengl world frame convention.
* @return The same vector expressed using the Tango ADF frame convention.
*/
inline glm::vec3 Vec3GlToTango(const glm::vec3& gl_vec) {
return glm::vec3(gl_vec.x, -gl_vec.z, gl_vec.y);
}
/**
* @brief Given a quaternion representing the rotation matrix tango_R_any,
* returns the quaternion representing gl_R_any, where "any" is an arbitrary
* frame. Note the gl base frame is rotated by 90-degrees about +X from the
* Tango ADF/start-of-service frame, so this is equivalent to applying such a
* rotation to the quaternion.
* @param tango_q_any A quaternion representing rotation matrix tango_R_any.
* @return The quaternion representing gl_R_any.
*/
glm::quat QuatTangoToGl(const glm::quat& tango_q_any);
/**
* Get the fixed transformation matrix relating the opengl frame convention
* (with Y-up, X-right) and the tango frame convention for the start-of-service
* and ADF frames (with Z-up, X-right), termed "world" here.
*/
glm::mat4 opengl_world_T_tango_world();
/**
* Get the fixed transformation matrix relating the frame convention of the
* device's color camera frame (with Z-forward, X-right) and the opengl camera
* frame (with Z-backward, X-right).
*/
glm::mat4 color_camera_T_opengl_camera();
/**
* Get the fixed transformation matrix relating the frame convention of the
* device's depth camera frame (with Z-forward, X-right) and the opengl camera
* frame (with Z-backward, X-right).
*/
glm::mat4 depth_camera_T_opengl_camera();
} // namespace conversions
} // namespace tango_gl
#endif // TANGO_GL_GL_TANGO_CONVERSIONS_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_CUBE_H_
#define TANGO_GL_CUBE_H_
#include "tango-gl/mesh.h"
namespace tango_gl {
class Cube : public Mesh {
public:
Cube();
};
} // namespace tango_gl
#endif // TANGO_GL_CUBE_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_DRAWABLE_OBJECT_H_
#define TANGO_GL_DRAWABLE_OBJECT_H_
#include <vector>
#include "tango-gl/color.h"
#include "tango-gl/transform.h"
#include "tango-gl/util.h"
namespace tango_gl {
class DrawableObject : public Transform {
public:
DrawableObject() : red_(0), green_(0), blue_(0), alpha_(1.0f) {};
DrawableObject(const DrawableObject& other) = delete;
const DrawableObject& operator=(const DrawableObject&) = delete;
void DeleteGlResources();
void SetShader();
void SetColor(const Color& color);
void SetColor(const float red, const float green, const float blue);
void SetAlpha(const float alpha);
void SetVertices(const std::vector<GLfloat>& vertices);
void SetVertices(const std::vector<GLfloat>& vertices,
const std::vector<GLushort>& indices);
void SetVertices(const std::vector<GLfloat>& vertices,
const std::vector<GLfloat>& normals);
virtual void Render(const glm::mat4& projection_mat,
const glm::mat4& view_mat) const = 0;
protected:
float red_;
float green_;
float blue_;
float alpha_;
std::vector<GLushort> indices_;
std::vector<GLfloat> vertices_;
std::vector<GLfloat> normals_;
GLenum render_mode_;
GLuint shader_program_;
GLuint uniform_color_;
GLuint uniform_mvp_mat_;
GLuint attrib_vertices_;
GLuint attrib_normals_;
};
} // namespace tango_gl
#endif // TANGO_GL_DRAWABLE_OBJECT_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_FRUSTUM_H_
#define TANGO_GL_FRUSTUM_H_
#include "tango-gl/line.h"
namespace tango_gl {
class Frustum : public Line {
public:
Frustum();
};
} // namespace tango_gl
#endif // TANGO_GL_FRUSTUM_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_GESTURE_CAMERA_H_
#define TANGO_GL_GESTURE_CAMERA_H_
#include "tango-gl/camera.h"
#include "tango-gl/segment.h"
#include "tango-gl/transform.h"
#include "tango-gl/util.h"
namespace tango_gl {
class GestureCamera : public Camera {
public:
enum CameraType {
kFirstPerson = 0,
kThirdPersonFollow = 1,
kTopDown = 2,
kTopOrtho = 3,
kThirdPerson = 4
};
enum TouchEvent {
kTouch0Down = 0,
kTouch0Up = 1,
kTouchMove = 2,
kTouch1Down = 5,
kTouch1Up = 6,
kTouchNone = -1
};
GestureCamera();
~GestureCamera();
void OnTouchEvent(int touch_count, TouchEvent event, float x0, float y0,
float x1, float y1);
// Get the ray in opengl world frame given the 2d touch position on screen,
// normalized touch_x and normalized touch_y should be the same value get from
// OnTouchEvent, x0 and y0, touch_range is the depth of the touch in
// camera frame.
Segment GetSegmentFromTouch(float normalized_x, float normalized_y,
float touch_range);
void SetAnchorPosition(const glm::vec3& pos, const glm::quat & rotation);
void SetAnchorOffset(const glm::vec3& pos) {anchor_offset_ = pos;}
const glm::vec3& GetAnchorOffset() const {return anchor_offset_;}
void SetCameraDistance(float cameraDistance) {cam_cur_dist_ = cameraDistance;}
float GetCameraDistance() const {return cam_cur_dist_;}
// Set camera type, set render camera's parent position and rotation.
void SetCameraType(CameraType camera_index);
CameraType GetCameraType() const { return camera_type_; }
float getFOV() const {return field_of_view_ * RADIAN_2_DEGREE;}
private:
void StartCameraToCurrentTransform();
// Render camera's parent transformation.
Transform* cam_parent_transform_;
CameraType camera_type_;
glm::vec2 cam_start_angle_;
glm::vec2 cam_cur_angle_;
glm::quat cam_cur_target_rot_;
float cam_start_dist_;
float cam_start_fov_;
float cam_cur_dist_;
glm::vec3 anchor_offset_;
float start_touch_dist_;
float cur_touch_dist_;
glm::vec2 touch0_start_position_;
};
} // namespace tango_gl
#endif // TANGO_GL_GESTURE_CAMERA_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
* Distributed under the Project Tango Preview Development Kit (PDK) Agreement.
* CONFIDENTIAL. AUTHORIZED USE ONLY. DO NOT REDISTRIBUTE.
*/
#ifndef TANGO_GL_GOAL_MARKER_H_
#define TANGO_GL_GOAL_MARKER_H_
#include <tango-gl/mesh.h>
namespace tango_gl {
class GoalMarker : public Mesh {
public:
GoalMarker();
};
} // namespace tango_gl
#endif // TANGO_GL_GOAL_MARKER_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_GRID_H_
#define TANGO_GL_GRID_H_
#include "tango-gl/line.h"
namespace tango_gl {
class Grid : public Line {
public:
Grid(float density = 1.0f, int qx = 50, int qy = 50);
};
} // namespace tango_gl
#endif // TANGO_GL_GRID_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_LINE_H_
#define TANGO_GL_LINE_H_
#include "tango-gl/drawable_object.h"
namespace tango_gl {
class Line : public DrawableObject {
public:
Line(float line_width, GLenum render_mode);
void SetLineWidth(const float pixels);
void Render(const glm::mat4& projection_mat, const glm::mat4& view_mat) const;
void UpdateLineVertices(const std::vector<glm::vec3>& vec_vertices) {
vec_vertices_ = vec_vertices;
}
protected:
float line_width_;
std::vector<glm::vec3> vec_vertices_;
};
} // namespace tango_gl
#endif // TANGO_GL_LINE_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_MESH_H_
#define TANGO_GL_MESH_H_
#include "tango-gl/bounding_box.h"
#include "tango-gl/drawable_object.h"
#include "tango-gl/segment.h"
namespace tango_gl {
class Mesh : public DrawableObject {
public:
Mesh();
Mesh(GLenum render_mode);
void SetShader();
void SetShader(bool is_lighting_on);
void SetBoundingBox();
void SetLightDirection(const glm::vec3& light_direction);
void Render(const glm::mat4& projection_mat, const glm::mat4& view_mat) const;
bool IsIntersecting(const Segment& segment);
protected:
BoundingBox* bounding_box_;
bool is_lighting_on_;
bool is_bounding_box_on_;
glm::vec3 light_direction_;
GLuint uniform_mv_mat_;
GLuint uniform_light_vec_;
};
} // namespace tango_gl
#endif // TANGO_GL_MESH_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_OBJ_LOADER_H
#define TANGO_GL_OBJ_LOADER_H
#include <vector>
#include "tango-gl/util.h"
namespace tango_gl {
namespace obj_loader {
// Load standard .obj file into vertices, indices or normals vectors,
// OBJ file can be exported from 3D tools like 3ds Max or Blender.
// A readable file with only vertices should look like
// "v 1.00 2.00 3.00
// ...
// f 1 2 3
// f 1 2 3 4
// ..."
//
// If exported with normals, file should look like
// "v 1.00 2.00 3.00
// ...
// f 1//1 2//3 3//4
// f 1//1 2//3 3//4 4//6
// ...
// vn 1.00 2.00 3.00
// ..."
// this can be used with Mesh:
//
// std::vector<GLfloat> vertices;
// std::vector<GLushort> indices;
// std::vector<GLfloat> normals;
// tango_gl::obj_loader::LoadOBJData("/sdcard/model.obj", vertices, indices);
// mesh->SetVertices(vertices, indices);
// or
// tango_gl::obj_loader::LoadOBJData("/sdcard/model.obj", vertices, normals);
// mesh->SetVertices(vertices, normals);
bool LoadOBJData(const char* path, std::vector<GLfloat>& vertices,
std::vector<GLushort>& indices);
bool LoadOBJData(const char* path, std::vector<GLfloat>& vertices,
std::vector<GLfloat>& normals);
} // namespace obj_loader
} // namespace tango_gl
#endif // TANGO_GL_OBJ_LOADER

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_QUAD_H_
#define TANGO_GL_QUAD_H_
#include "tango-gl/drawable_object.h"
namespace tango_gl {
class Quad : public DrawableObject {
public:
Quad();
Quad(const Quad& other) = delete;
Quad& operator=(const Quad&) = delete;
~Quad();
void Render(const glm::mat4& projection_mat, const glm::mat4& view_mat) const;
void SetTextureId(GLuint texture_id);
private:
GLuint vertex_buffer_;
GLuint shader_program_;
GLuint attrib_vertices_;
GLuint texture_coords_;
GLuint texture_handle;
GLuint uniform_mvp_mat_;
GLuint texture_id_;
};
} // namespace tango_gl
#endif // TANGO_GL_QUAD_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_SEGMENT_H_
#define TANGO_GL_SEGMENT_H_
#include "glm/glm.hpp"
namespace tango_gl {
class Segment {
public:
Segment() : start(glm::vec3(0, 0, 0)), end(glm::vec3(0, 0, 0)) {}
Segment(const glm::vec3& segment_start, const glm::vec3& segment_end)
: start(segment_start), end(segment_end) {}
Segment(const Segment&) = default;
Segment& operator=(const Segment&) = default;
glm::vec3 start;
glm::vec3 end;
};
} // namespace tango_gl
#endif // TANGO_GL_SEGMENT_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_SEGMENT_DRAWABLE_H_
#define TANGO_GL_SEGMENT_DRAWABLE_H_
#include "tango-gl/line.h"
#include "tango-gl/segment.h"
namespace tango_gl {
class SegmentDrawable : public Line {
public:
SegmentDrawable();
void UpdateSegment(const Segment& segment);
};
} // namespace tango_gl
#endif // TANGO_GL_SEGMENT_DRAWABLE_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_SHADERS_H_
#define TANGO_GL_SHADERS_H_
#include <string>
namespace tango_gl {
namespace shaders {
std::string GetBasicVertexShader();
std::string GetBasicFragmentShader();
std::string GetColorVertexShader();
std::string GetVideoOverlayVertexShader();
std::string GetVideoOverlayFragmentShader();
std::string GetShadedVertexShader();
} // namespace shaders
} // namespace tango_gl
#endif // TANGO_GL_SHADERS_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_TEXTURE_H_
#define TANGO_GL_TEXTURE_H_
#include <errno.h>
#ifdef __ANDROID__
#include <png.h>
#endif
#include "tango-gl/util.h"
namespace tango_gl {
class Texture {
public:
Texture(const char* file_path);
Texture(const Texture& other) = delete;
Texture& operator=(const Texture&) = delete;
~Texture();
#ifdef __ANDROID__
bool LoadFromPNG(const char* file_path);
#endif
GLuint GetTextureID() const;
private:
#ifdef __ANDROID__
png_uint_32 width_, height_;
#endif
int bit_depth_, color_type_;
char* byte_data_;
GLuint texture_id_;
};
} // namespace tango_gl
#endif // TANGO_GL_TEXTURE_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_TRACE_H_
#define TANGO_GL_TRACE_H_
#include "tango-gl/line.h"
namespace tango_gl {
class Trace : public Line {
public:
Trace();
void UpdateVertexArray(const glm::vec3& v);
void ClearVertexArray();
};
} // namespace tango_gl
#endif // TANGO_GL_TRACE_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_TRANSFORM_H_
#define TANGO_GL_TRANSFORM_H_
#include "glm/glm.hpp"
#include "glm/gtc/quaternion.hpp"
namespace tango_gl {
class Transform {
public:
Transform();
virtual ~Transform();
Transform(const Transform& other) = delete;
const Transform& operator=(const Transform& rhs) = delete;
void SetPosition(const glm::vec3& position);
glm::vec3 GetPosition() const;
void SetRotation(const glm::quat& rotation);
glm::quat GetRotation() const;
void SetScale(const glm::vec3& scale);
glm::vec3 GetScale() const;
void Translate(const glm::vec3& translation);
void SetTransformationMatrix(const glm::mat4& transform_mat);
glm::mat4 GetTransformationMatrix() const;
void SetParent(Transform* transform);
const Transform* GetParent() const ;
Transform* GetParent() ;
private:
Transform* parent_;
glm::vec3 position_;
glm::quat rotation_;
glm::vec3 scale_;
};
} // namespace tango_gl
#endif // TANGO_GL_TRANSFORM_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_TRIANGLE_H_
#define TANGO_GL_TRIANGLE_H_
#include "tango-gl/mesh.h"
namespace tango_gl {
class Triangle : public Mesh {
public:
Triangle();
};
} // namespace tango_gl
#endif // TANGO_GL_TRIANGLE_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_GL_UTIL_H_
#define TANGO_GL_GL_UTIL_H_
#define GLM_FORCE_RADIANS
#define GL_VERTEX_PROGRAM_POINT_SIZE 0x8642
#include <stdlib.h>
#ifdef __ANDROID__
#include <jni.h>
#include <android/log.h>
#include <GLES2/gl2.h>
#include <GLES2/gl2ext.h>
#else // __APPLE__
#include <OpenGLES/ES2/gl.h>
#include <OpenGLES/ES2/glext.h>
#include <syslog.h>
#endif
#include "glm/glm.hpp"
#include "glm/gtc/matrix_transform.hpp"
#include "glm/gtc/quaternion.hpp"
#include "glm/gtc/type_ptr.hpp"
#include "glm/gtx/matrix_decompose.hpp"
#define LOG_TAG "rtabmap"
#if defined(DISABLE_LOG)
#define LOGD(...) ;
#define LOGI(...) ;
#define LOGW(...) ;
#else
#ifdef __APPLE__
#define LOGD(...) fprintf(stderr, __VA_ARGS__); fprintf(stderr, "\n")
#define LOGI(...) fprintf(stderr, __VA_ARGS__); fprintf(stderr, "\n")
#define LOGW(...) fprintf(stderr, __VA_ARGS__); fprintf(stderr, "\n")
#else
#define LOGD(...) __android_log_print(ANDROID_LOG_DEBUG,LOG_TAG,__VA_ARGS__)
#define LOGI(...) __android_log_print(ANDROID_LOG_INFO,LOG_TAG,__VA_ARGS__)
#define LOGW(...) __android_log_print(ANDROID_LOG_WARN,LOG_TAG,__VA_ARGS__)
#endif
#endif
#ifdef __APPLE__
#define LOGE(...) fprintf(stderr, __VA_ARGS__); fprintf(stderr, "\n")
#define LOGF(...) fprintf(stderr, __VA_ARGS__); fprintf(stderr, "\n")
#else
#define LOGE(...) __android_log_print(ANDROID_LOG_ERROR,LOG_TAG,__VA_ARGS__)
#define LOGF(...) __android_log_print(ANDROID_LOG_FATAL,LOG_TAG,__VA_ARGS__)
#endif
#ifndef M_PI
#define M_PI 3.1415926f
#endif
#define RADIAN_2_DEGREE 57.2957795f
#define DEGREE_2_RADIANS 0.0174532925f
namespace tango_gl {
namespace util {
void CheckGlError(const char* operation);
GLuint CreateProgram(const char* vertex_source,
const char* fragment_source);
void DecomposeMatrix(const glm::mat4& transform_mat,
glm::vec3& translation,
glm::quat& rotation,
glm::vec3& scale);
// Get a 3x1 column from the upper 3x4 of a transformation matrix. Columns
// 0, 1, 2 are the rotation/scale portion, and column 3 is the translation.
glm::vec3 GetColumnFromMatrix(const glm::mat4& mat, const int col);
// Get the translation component of a transformation matrix.
glm::vec3 GetTranslationFromMatrix(const glm::mat4& mat);
float Clamp(float value, float min, float max);
void PrintMatrix(const glm::mat4& matrix);
void PrintVector(const glm::vec3& vector);
void PrintQuaternion(const glm::quat& quat);
glm::vec3 LerpVector(const glm::vec3& x, const glm::vec3& y, float a);
float DistanceSquared(const glm::vec3& v1, const glm::vec3& v2);
bool SegmentAABBIntersect(const glm::vec3& aabb_min, const glm::vec3& aabb_max,
const glm::vec3& start, const glm::vec3& end);
glm::vec3 ApplyTransform(const glm::mat4& mat, const glm::vec3& vec);
} // namespace util
} // namespace tango_gl
#endif // TANGO_GL_RENDERER_GL_UTIL

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TANGO_GL_RENDERER_VIDEO_OVERLAY_H_
#define TANGO_GL_RENDERER_VIDEO_OVERLAY_H_
#include "tango-gl/drawable_object.h"
namespace tango_gl {
class VideoOverlay : public DrawableObject {
public:
VideoOverlay();
void Render(const glm::mat4& projection_mat, const glm::mat4& view_mat) const;
GLuint GetTextureId() const { return texture_id_; }
void SetTextureId(GLuint texture_id) { texture_id_ = texture_id; }
private:
// This id is populated on construction, and is passed to the tango service.
GLuint texture_id_;
GLuint attrib_texture_coords_;
GLuint uniform_texture_;
GLuint vertex_buffers_[3];
};
} // namespace tango_gl
#endif // TANGO_GL_RENDERER_VIDEO_OVERLAY_H_

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "tango-gl/line.h"
namespace tango_gl {
Line::Line(float line_width, GLenum render_mode) {
line_width_ = line_width;
render_mode_ = render_mode;
}
void Line::SetLineWidth(const float pixels) { line_width_ = pixels; }
void Line::Render(const glm::mat4& projection_mat,
const glm::mat4& view_mat) const {
glUseProgram(shader_program_);
glLineWidth(line_width_);
glm::mat4 model_mat = GetTransformationMatrix();
glm::mat4 mvp_mat = projection_mat * view_mat * model_mat;
glUniformMatrix4fv(uniform_mvp_mat_, 1, GL_FALSE, glm::value_ptr(mvp_mat));
glUniform4f(uniform_color_, red_, green_, blue_, alpha_);
glEnableVertexAttribArray(attrib_vertices_);
glVertexAttribPointer(attrib_vertices_, 3, GL_FLOAT, GL_FALSE,
sizeof(glm::vec3), &vec_vertices_[0]);
glDrawArrays(render_mode_, 0, vec_vertices_.size());
glDisableVertexAttribArray(attrib_vertices_);
glUseProgram(0);
}
} // namespace tango_gl

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "tango-gl/mesh.h"
#include "tango-gl/shaders.h"
namespace tango_gl {
Mesh::Mesh() {
render_mode_ = GL_TRIANGLES;
}
Mesh::Mesh(GLenum render_mode) {
render_mode_ = render_mode;
}
void Mesh::SetShader() {
DrawableObject::SetShader();
// Default mode set to no lighting.
is_lighting_on_ = false;
// Default mode set to without bounding box detection.
is_bounding_box_on_ = false;
}
void Mesh::SetShader(bool is_lighting_on) {
if (is_lighting_on) {
shader_program_ =
util::CreateProgram(shaders::GetShadedVertexShader().c_str(),
shaders::GetBasicFragmentShader().c_str());
if (!shader_program_) {
LOGE("Could not create program.");
}
uniform_mvp_mat_ = glGetUniformLocation(shader_program_, "mvp");
uniform_mv_mat_ = glGetUniformLocation(shader_program_, "mv");
uniform_light_vec_ = glGetUniformLocation(shader_program_, "lightVec");
uniform_color_ = glGetUniformLocation(shader_program_, "color");
attrib_vertices_ = glGetAttribLocation(shader_program_, "vertex");
attrib_normals_ = glGetAttribLocation(shader_program_, "normal");
is_lighting_on_ = true;
// Set a defualt direction for directional light.
light_direction_ = glm::vec3(-1.0f, -3.0f, -1.0f);
light_direction_ = glm::normalize(light_direction_);
} else {
SetShader();
}
}
void Mesh::SetBoundingBox(){
// Traverse all the vertices to define an axis-aligned
// bounding box for this mesh, needs to be called after SetVertices().
if(vertices_.size()==0){
LOGE("Please set up vertices first!");
return;
}
is_bounding_box_on_ = true;
bounding_box_ = new BoundingBox(vertices_);
}
void Mesh::SetLightDirection(const glm::vec3& light_direction) {
light_direction_ = light_direction;
}
bool Mesh::IsIntersecting(const Segment& segment) {
// If there is no bounding box defined based on all vertices,
// we can not calculate intersection.
if (!is_bounding_box_on_) {
LOGE("Mesh::IsIntersecting, bounding box is not available.");
return false;
}
return bounding_box_->IsIntersecting(segment, GetRotation(),
GetTransformationMatrix());
}
void Mesh::Render(const glm::mat4& projection_mat,
const glm::mat4& view_mat) const {
glUseProgram(shader_program_);
glm::mat4 model_mat = GetTransformationMatrix();
glm::mat4 mv_mat = view_mat * model_mat;
glm::mat4 mvp_mat = projection_mat * mv_mat;
glUniformMatrix4fv(uniform_mvp_mat_, 1, GL_FALSE, glm::value_ptr(mvp_mat));
glUniform4f(uniform_color_, red_, green_, blue_, alpha_);
if (is_lighting_on_) {
glUniformMatrix4fv(uniform_mv_mat_, 1, GL_FALSE, glm::value_ptr(mv_mat));
glEnableVertexAttribArray(attrib_normals_);
glVertexAttribPointer(attrib_normals_, 3, GL_FLOAT, GL_FALSE,
3 * sizeof(GLfloat), &normals_[0]);
glm::vec3 light_direction = glm::mat3(view_mat) * light_direction_;
glUniform3fv(uniform_light_vec_, 1, glm::value_ptr(light_direction));
}
glEnableVertexAttribArray(attrib_vertices_);
if (!indices_.empty()) {
glVertexAttribPointer(attrib_vertices_, 3, GL_FLOAT, GL_FALSE,
3 * sizeof(GLfloat), vertices_.data());
glDrawElements(render_mode_, indices_.size(), GL_UNSIGNED_SHORT,
indices_.data());
} else {
glVertexAttribPointer(attrib_vertices_, 3, GL_FLOAT, GL_FALSE,
3 * sizeof(GLfloat), &vertices_[0]);
glDrawArrays(render_mode_, 0, vertices_.size() / 3);
}
glDisableVertexAttribArray(attrib_vertices_);
if (is_lighting_on_) {
glDisableVertexAttribArray(attrib_normals_);
}
glUseProgram(0);
}
} // namespace tango_gl

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include <string>
#include "tango-gl/obj_loader.h"
namespace tango_gl {
bool obj_loader::LoadOBJData(const char* path, std::vector<GLfloat>& vertices,
std::vector<GLushort>& indices) {
FILE *file = fopen(path, "r");
if (file == NULL) {
LOGE("Failed to open file: %s", path);
return false;
}
while (1) {
char lineHeader[128];
int res = fscanf(file, "%s", lineHeader);
if (res == EOF) break;
if (strcmp(lineHeader, "v") == 0) {
GLfloat vertex[3];
int matches =
fscanf(file, "%f %f %f\n", &vertex[0], &vertex[1], &vertex[2]);
if (matches != 3) {
LOGE("Format of 'v float float float' required for each vertice line");
return false;
}
vertices.push_back(vertex[0]);
vertices.push_back(vertex[1]);
vertices.push_back(vertex[2]);
} else if (strcmp(lineHeader, "f") == 0) {
GLushort vertexIndex[3];
int matches = fscanf(file, "%hu %hu %hu\n", &vertexIndex[0],
&vertexIndex[1], &vertexIndex[2]);
if (matches != 3) {
LOGE("Format of 'f int int int' required for each face line");
return false;
}
indices.push_back(vertexIndex[0] - 1);
indices.push_back(vertexIndex[1] - 1);
indices.push_back(vertexIndex[2] - 1);
}
else {
char comments_buffer[1000];
fgets(comments_buffer, 1000, file);
}
}
fclose(file);
return true;
}
bool obj_loader::LoadOBJData(const char* path, std::vector<GLfloat>& vertices,
std::vector<GLfloat>& normals) {
std::vector<unsigned int> vertexIndices, normalIndices;
std::vector<GLfloat> temp_vertices, temp_normals;
FILE* file = fopen(path, "r");
if (file == NULL) {
LOGE("Failed to open file: %s", path);
return false;
}
while (1) {
char lineHeader[128];
int res = fscanf(file, "%s", lineHeader);
if (res == EOF) break;
if (strcmp(lineHeader, "v") == 0) {
GLfloat vertex[3];
int matches =
fscanf(file, "%f %f %f\n", &vertex[0], &vertex[1], &vertex[2]);
if (matches != 3) {
LOGE("Format of 'v float float float' required for each vertice line");
return false;
}
temp_vertices.push_back(vertex[0]);
temp_vertices.push_back(vertex[1]);
temp_vertices.push_back(vertex[2]);
} else if (strcmp(lineHeader, "vn") == 0) {
GLfloat normal[3];
int matches =
fscanf(file, "%f %f %f\n", &normal[0], &normal[1], &normal[2]);
if (matches != 3) {
LOGE("Format of 'vn float float float' required for each normal line");
return false;
}
temp_normals.push_back(normal[0]);
temp_normals.push_back(normal[1]);
temp_normals.push_back(normal[2]);
} else if (strcmp(lineHeader, "f") == 0) {
GLushort vertexIndex[4];
GLushort normalIndex[4];
int matches = fscanf(file, "%hu//%hu %hu//%hu %hu//%hu %hu//%hu\n",
&vertexIndex[0], &normalIndex[0], &vertexIndex[1], &normalIndex[1],
&vertexIndex[2], &normalIndex[2], &vertexIndex[3], &normalIndex[3]);
// .obj file is 1-indexed, so subtract 1 from all indices.
if (matches == 6) {
// If triangles provided.
vertexIndices.push_back(vertexIndex[0] - 1);
vertexIndices.push_back(vertexIndex[1] - 1);
vertexIndices.push_back(vertexIndex[2] - 1);
normalIndices.push_back(normalIndex[0] - 1);
normalIndices.push_back(normalIndex[1] - 1);
normalIndices.push_back(normalIndex[2] - 1);
} else if(matches == 8) {
// If quads provided.
vertexIndices.push_back(vertexIndex[0] - 1);
vertexIndices.push_back(vertexIndex[1] - 1);
vertexIndices.push_back(vertexIndex[2] - 1);
vertexIndices.push_back(vertexIndex[0] - 1);
vertexIndices.push_back(vertexIndex[2] - 1);
vertexIndices.push_back(vertexIndex[3] - 1);
normalIndices.push_back(normalIndex[0] - 1);
normalIndices.push_back(normalIndex[1] - 1);
normalIndices.push_back(normalIndex[2] - 1);
normalIndices.push_back(normalIndex[0] - 1);
normalIndices.push_back(normalIndex[2] - 1);
normalIndices.push_back(normalIndex[3] - 1);
} else {
LOGE("Format of 'f int//int int//int int//int' required for each face");
return false;
}
} else {
char comments_buffer[1000];
fgets(comments_buffer, 1000, file);
}
}
for (unsigned int i = 0; i < vertexIndices.size(); i++) {
unsigned int vertexIndex = vertexIndices[i];
unsigned int normalIndex = normalIndices[i];
vertices.push_back(temp_vertices[vertexIndex * 3]);
vertices.push_back(temp_vertices[vertexIndex * 3 + 1]);
vertices.push_back(temp_vertices[vertexIndex * 3 + 2]);
normals.push_back(temp_normals[normalIndex * 3]);
normals.push_back(temp_normals[normalIndex * 3 + 1]);
normals.push_back(temp_normals[normalIndex * 3 + 2]);
}
fclose(file);
return true;
}
} // namespace tango_gl

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "tango-gl/quad.h"
#include "tango-gl/util.h"
namespace tango_gl {
static const char kVertexShader[] =
"attribute vec4 vertex;\n"
"attribute vec2 inputTextureCoordinate;\n"
"varying vec2 textureCoordinate;\n"
"uniform mat4 mvp;\n"
"void main() {\n"
" gl_Position = mvp*vertex;\n"
" textureCoordinate = inputTextureCoordinate.xy;\n"
"}\n";
static const char kFragmentShader[] =
"varying vec2 textureCoordinate;\n"
"uniform sampler2D inputTexture;\n"
"void main() {\n"
" gl_FragColor = texture2D(inputTexture, textureCoordinate);\n"
"}\n";
static const float vertices[] = {-0.5f, -0.5f, 0.5f, -0.5f,
-0.5f, 0.5f, 0.5f, 0.5f};
static const GLfloat texture_coords[] = {0.0f, 1.0f, 1.0f, 1.0f,
0.0f, 0.0f, 1.0f, 0.0f, };
Quad::Quad() {
shader_program_ = util::CreateProgram(kVertexShader, kFragmentShader);
if (!shader_program_) {
LOGE("Could not create program.");
}
uniform_mvp_mat_ = glGetUniformLocation(shader_program_, "mvp");
attrib_vertices_ = glGetAttribLocation(shader_program_, "vertex");
texture_coords_ =
glGetAttribLocation(shader_program_, "inputTextureCoordinate");
texture_handle = glGetUniformLocation(shader_program_, "inputTexture");
glGenBuffers(1, &vertex_buffer_);
}
Quad::~Quad() { glDeleteShader(shader_program_); }
void Quad::SetTextureId(GLuint texture_id) { texture_id_ = texture_id; }
void Quad::Render(const glm::mat4& projection_mat,
const glm::mat4& view_mat) const {
glEnable(GL_CULL_FACE);
glEnable(GL_BLEND);
glBlendFunc(GL_SRC_ALPHA, GL_ONE_MINUS_SRC_ALPHA);
glUseProgram(shader_program_);
glBindTexture(GL_TEXTURE_2D, texture_id_);
glUniform1i(texture_handle, 0);
// Calculate MVP matrix and pass it to shader.
glm::mat4 model_mat = GetTransformationMatrix();
glm::mat4 mvp_mat = projection_mat * view_mat * model_mat;
glUniformMatrix4fv(uniform_mvp_mat_, 1, GL_FALSE, glm::value_ptr(mvp_mat));
// Vertice binding
glEnableVertexAttribArray(attrib_vertices_);
glVertexAttribPointer(attrib_vertices_, 2, GL_FLOAT, GL_FALSE, 0, vertices);
glBindBuffer(GL_ARRAY_BUFFER, 0);
glEnableVertexAttribArray(texture_coords_);
glVertexAttribPointer(texture_coords_, 2, GL_FLOAT, GL_FALSE, 0,
texture_coords);
glDrawArrays(GL_TRIANGLE_STRIP, 0, 4);
glUseProgram(0);
glBindTexture(GL_TEXTURE_2D, 0);
}
} // namespace tango_gl

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "tango-gl/segment_drawable.h"
namespace tango_gl {
SegmentDrawable::SegmentDrawable() : tango_gl::Line(5.0f, GL_LINES) {
SetShader();
vec_vertices_.push_back(glm::vec3(0, 0, 0));
vec_vertices_.push_back(glm::vec3(1.f, 1.f, 1.f));
}
void SegmentDrawable::UpdateSegment(const Segment& segment) {
vec_vertices_[0] = segment.start;
vec_vertices_[1] = segment.end;
}
} // namespace tango_gl

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "tango-gl/shaders.h"
namespace tango_gl {
namespace shaders {
std::string GetBasicVertexShader() {
return "precision mediump float;\n"
"precision mediump int;\n"
"attribute vec4 vertex;\n"
"uniform mat4 mvp;\n"
"uniform vec4 color;\n"
"varying vec4 v_color;\n"
"void main() {\n"
" gl_Position = mvp*vertex;\n"
" v_color = color;\n"
"}\n";
}
std::string GetBasicFragmentShader() {
return "precision mediump float;\n"
"varying vec4 v_color;\n"
"void main() {\n"
" gl_FragColor = v_color;\n"
"}\n";
}
std::string GetColorVertexShader() {
return "precision mediump float;\n"
"precision mediump int;\n"
"attribute vec4 vertex;\n"
"attribute vec4 color;\n"
"uniform mat4 mvp;\n"
"varying vec4 v_color;\n"
"void main() {\n"
" gl_Position = mvp*vertex;\n"
" v_color = color;\n"
"}\n";
}
std::string GetVideoOverlayVertexShader() {
return "precision highp float;\n"
"precision highp int;\n"
"attribute vec4 vertex;\n"
"attribute vec2 textureCoords;\n"
"varying vec2 f_textureCoords;\n"
"uniform mat4 mvp;\n"
"void main() {\n"
" f_textureCoords = textureCoords;\n"
" gl_Position = mvp * vertex;\n"
"}\n";
}
std::string GetVideoOverlayFragmentShader() {
return "#extension GL_OES_EGL_image_external : require\n"
"precision highp float;\n"
"precision highp int;\n"
"uniform samplerExternalOES texture;\n"
"varying vec2 f_textureCoords;\n"
"void main() {\n"
" gl_FragColor = texture2D(texture, f_textureCoords);\n"
"}\n";
}
std::string GetShadedVertexShader() {
return "attribute vec4 vertex;\n"
"attribute vec3 normal;\n"
"uniform mat4 mvp;\n"
"uniform mat4 mv;\n"
"uniform vec4 color;\n"
"uniform vec3 lightVec;\n"
"varying vec4 v_color;\n"
"void main() {\n"
" vec3 mvNormal = vec3(mv * vec4(normal, 0.0));\n"
" float diffuse = max(-dot(mvNormal, lightVec), 0.0);\n"
" v_color.a = color.a;\n"
" v_color.xyz = color.xyz * diffuse + color.xyz * 0.3;\n"
" gl_Position = mvp*vertex;\n"
"}\n";
}
} // namespace shaders
} // namespace tango_gl

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "tango-gl/texture.h"
#include "tango-gl/util.h"
namespace tango_gl {
static const int kMaxExponentiation = 12;
static int RoundUpPowerOfTwo(int w) {
int start = 2;
for (int i = 0; i <= kMaxExponentiation; ++i) {
if (w < start) {
w = start;
break;
} else {
start = start << 1;
}
}
return w;
}
Texture::Texture(const char* file_path) {
#ifdef __ANDROID__
if (!LoadFromPNG(file_path)) {
LOGE("Texture initialing error");
}
#endif
}
#ifdef __ANDROID__
bool Texture::LoadFromPNG(const char* file_path) {
FILE* file = fopen(file_path, "rb");
if (file == NULL) {
LOGE("fp not loaded: %s", strerror(errno));
return false;
}
fseek(file, 8, SEEK_CUR);
png_structp png_ptr =
png_create_read_struct(PNG_LIBPNG_VER_STRING, NULL, NULL, NULL);
png_infop info_ptr = png_create_info_struct(png_ptr);
png_init_io(png_ptr, file);
png_set_sig_bytes(png_ptr, 8);
png_read_info(png_ptr, info_ptr);
png_get_IHDR(png_ptr, info_ptr, &width_, &height_, &bit_depth_, &color_type_,
NULL, NULL, NULL);
width_ = RoundUpPowerOfTwo(width_);
height_ = RoundUpPowerOfTwo(height_);
int row = width_ * (color_type_ == PNG_COLOR_TYPE_RGBA ? 4 : 3);
byte_data_ = new char[row * height_];
png_bytep* row_pointers = new png_bytep[height_];
for (uint i = 0; i < height_; ++i) {
row_pointers[i] = (png_bytep)(byte_data_ + i * row);
}
png_read_image(png_ptr, row_pointers);
png_destroy_read_struct(&png_ptr, &info_ptr, 0);
glGenTextures(1, &texture_id_);
glBindTexture(GL_TEXTURE_2D, texture_id_);
glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_WRAP_S, GL_REPEAT);
glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_WRAP_T, GL_REPEAT);
glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_LINEAR);
glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_LINEAR);
util::CheckGlError("glBindTexture");
if (color_type_ == PNG_COLOR_TYPE_RGBA) {
glTexImage2D(GL_TEXTURE_2D, 0, GL_RGBA, width_, height_, 0, GL_RGBA,
GL_UNSIGNED_BYTE, byte_data_);
} else {
glTexImage2D(GL_TEXTURE_2D, 0, GL_RGB, width_, height_, 0, GL_RGB,
GL_UNSIGNED_BYTE, byte_data_);
}
util::CheckGlError("glTexImage2D");
glBindTexture(GL_TEXTURE_2D, 0);
fclose(file);
delete[] row_pointers;
delete[] byte_data_;
return true;
}
#endif
GLuint Texture::GetTextureID() const { return texture_id_; }
Texture::~Texture() {
if (byte_data_ != NULL) {
delete[] byte_data_;
}
byte_data_ = NULL;
}
} // namespace tango_gl

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "tango-gl/trace.h"
namespace tango_gl {
static const int kMaxTraceLength = 5000;
static const float kDistanceCheck = 0.05f;
Trace::Trace() : Line(3.0f, GL_LINE_STRIP) { SetShader(); }
void Trace::UpdateVertexArray(const glm::vec3& v) {
if (vec_vertices_.size() == 0) {
vec_vertices_.push_back(v);
} else {
float dist = glm::distance(vec_vertices_[vec_vertices_.size() - 1], v);
if (dist >= kDistanceCheck) {
vec_vertices_.push_back(v);
}
}
}
void Trace::ClearVertexArray() { vec_vertices_.clear(); }
} // namespace tango_gl

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "tango-gl/transform.h"
#include "tango-gl/util.h"
#define nullptr 0
namespace tango_gl {
Transform::Transform()
: parent_(nullptr),
position_(0.0f, 0.0f, 0.0f),
rotation_(1.0f, 0.0f, 0.0f, 0.0f),
scale_(1.0f, 1.0f, 1.0f) {
}
Transform::~Transform() {
// Objects are not responsible for deleting their parents.
}
void Transform::SetPosition(const glm::vec3& position) {
position_ = position;
}
glm::vec3 Transform::GetPosition() const {
return position_;
}
void Transform::SetRotation(const glm::quat& rotation) {
rotation_ = rotation;
}
glm::quat Transform::GetRotation() const {
return rotation_;
}
void Transform::SetScale(const glm::vec3& scale) {
scale_ = scale;
}
glm::vec3 Transform::GetScale() const {
return scale_;
}
void Transform::Translate(const glm::vec3& translation) {
position_ += translation;
}
void Transform::SetTransformationMatrix(const glm::mat4& transform_mat) {
util::DecomposeMatrix(transform_mat, position_, rotation_, scale_);
}
glm::mat4 Transform::GetTransformationMatrix() const {
glm::mat4 trans_mat = glm::scale(glm::mat4_cast(rotation_), scale_);
trans_mat[3][0] = position_.x;
trans_mat[3][1] = position_.y;
trans_mat[3][2] = position_.z;
glm::mat4 parent_mat = glm::mat4(1.0f);
if (parent_ != NULL) {
parent_mat = parent_->GetTransformationMatrix();
trans_mat = parent_mat * trans_mat;
}
return trans_mat;
}
void Transform::SetParent(Transform* transform) {
parent_ = transform;
}
const Transform* Transform::GetParent() const {
return parent_;
}
Transform* Transform::GetParent() {
return parent_;
}
} // namespace tango_gl

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "tango-gl/triangle.h"
namespace tango_gl {
static const GLfloat const_vertices[]
= {-0.15f, 0.0f, 0.0f, 0.15f, 0.0f, 0.0f, 0.0f, 0.0f, -0.2f};
static const GLushort const_indices[] = {0, 1, 2};
Triangle::Triangle() {
SetShader();
std::vector<GLfloat> vertices(
const_vertices,
const_vertices + sizeof(const_vertices) / sizeof(GLfloat));
std::vector<GLushort> indices(
const_indices, const_indices + sizeof(const_indices) / sizeof(GLushort));
SetVertices(vertices, indices);
}
} // namespace tango_gl

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "tango-gl/util.h"
#include <rtabmap/utilite/ULogger.h>
namespace tango_gl {
namespace {
int NormalizedColorCameraRotation(int camera_rotation) {
int camera_n = 0;
switch (camera_rotation) {
case 90:
camera_n = 1;
break;
case 180:
camera_n = 2;
break;
case 270:
camera_n = 3;
break;
default:
camera_n = 0;
break;
}
return camera_n;
}
} // annonymous namespace
void util::CheckGlError(const char* operation) {
for (GLint error = glGetError(); error; error = glGetError()) {
LOGE("after %s() glError (0x%x)\n", operation, error);
}
}
// Convenience function used in CreateProgram below.
static GLuint LoadShader(GLenum shader_type, const char* shader_source) {
GLuint shader = glCreateShader(shader_type);
if (shader) {
glShaderSource(shader, 1, &shader_source, NULL);
glCompileShader(shader);
GLint compiled = 0;
glGetShaderiv(shader, GL_COMPILE_STATUS, &compiled);
if (!compiled) {
GLint info_len = 0;
glGetShaderiv(shader, GL_INFO_LOG_LENGTH, &info_len);
if (info_len) {
char* buf = (char*) malloc(info_len);
if (buf) {
glGetShaderInfoLog(shader, info_len, NULL, buf);
LOGE("Could not compile shader %d:\n%s\n", shader_type, buf);
free(buf);
}
glDeleteShader(shader);
shader = 0;
}
}
}
return shader;
}
GLuint util::CreateProgram(const char* vertex_source,
const char* fragment_source) {
GLuint vertexShader = LoadShader(GL_VERTEX_SHADER, vertex_source);
if (!vertexShader) {
return 0;
}
GLuint fragment_shader = LoadShader(GL_FRAGMENT_SHADER, fragment_source);
if (!fragment_shader) {
return 0;
}
GLuint program = glCreateProgram();
if (program) {
glAttachShader(program, vertexShader);
CheckGlError("glAttachShader");
glAttachShader(program, fragment_shader);
CheckGlError("glAttachShader");
glLinkProgram(program);
GLint link_status = GL_FALSE;
glGetProgramiv(program, GL_LINK_STATUS, &link_status);
if (link_status != GL_TRUE) {
GLint buf_length = 0;
glGetProgramiv(program, GL_INFO_LOG_LENGTH, &buf_length);
if (buf_length) {
char* buf = (char*) malloc(buf_length);
if (buf) {
glGetProgramInfoLog(program, buf_length, NULL, buf);
LOGE("Could not link program:\n%s\n", buf);
free(buf);
}
}
glDeleteProgram(program);
program = 0;
}
}
CheckGlError("CreateProgram");
return program;
}
void util::DecomposeMatrix (const glm::mat4& transform_mat,
glm::vec3& translation,
glm::quat& rotation,
glm::vec3& scale) {
float scale_x = glm::length( glm::vec3( transform_mat[0][0], transform_mat[1][0], transform_mat[2][0] ) );
float scale_y = glm::length( glm::vec3( transform_mat[0][1], transform_mat[1][1], transform_mat[2][1] ) );
float scale_z = glm::length( glm::vec3( transform_mat[0][2], transform_mat[1][2], transform_mat[2][2] ) );
float determinant = glm::determinant( transform_mat );
if( determinant < 0.0 )
scale_x = -scale_x;
translation.x = transform_mat[3][0];
translation.y = transform_mat[3][1];
translation.z = transform_mat[3][2];
float inverse_scale_x = 1.0 / scale_x;
float inverse_scale_y = 1.0 / scale_y;
float inverse_scale_z = 1.0 / scale_z;
glm::mat4 transform_unscaled = transform_mat;
transform_unscaled[0][0] *= inverse_scale_x;
transform_unscaled[1][0] *= inverse_scale_x;
transform_unscaled[2][0] *= inverse_scale_x;
transform_unscaled[0][1] *= inverse_scale_y;
transform_unscaled[1][1] *= inverse_scale_y;
transform_unscaled[2][1] *= inverse_scale_y;
transform_unscaled[0][2] *= inverse_scale_z;
transform_unscaled[1][2] *= inverse_scale_z;
transform_unscaled[2][2] *= inverse_scale_z;
rotation = glm::quat_cast( transform_mat );
scale.x = scale_x;
scale.y = scale_y;
scale.z = scale_z;
}
glm::vec3 util::GetColumnFromMatrix(const glm::mat4& mat, const int col) {
return glm::vec3(mat[col][0], mat[col][1], mat[col][2]);
}
glm::vec3 util::GetTranslationFromMatrix(const glm::mat4& mat) {
return glm::vec3(mat[3][0], mat[3][1], mat[3][2]);
}
float util::Clamp(float value, float min, float max) {
return value < min ? min : (value > max ? max : value);
}
// Print out a column major matrix.
void util::PrintMatrix(const glm::mat4& matrix) {
int i;
for (i = 0; i < 4; i++) {
LOGI("[ %f, %f, %f, %f ]", matrix[0][i], matrix[1][i], matrix[2][i],
matrix[3][i]);
}
LOGI(" ");
}
void util::PrintVector(const glm::vec3& vector) {
LOGI("[ %f, %f, %f ]", vector[0], vector[1], vector[2]);
LOGI(" ");
}
void util::PrintQuaternion(const glm::quat& quat) {
LOGI("[ %f, %f, %f, %f ]", quat[0], quat[1], quat[2], quat[3]);
LOGI(" ");
}
glm::vec3 util::LerpVector(const glm::vec3& x, const glm::vec3& y, float a) {
return x * (1.0f - a) + y * a;
}
float util::DistanceSquared(const glm::vec3& v1, const glm::vec3& v2) {
glm::vec3 delta = v2 - v1;
return glm::dot(delta, delta);
}
bool util::SegmentAABBIntersect(const glm::vec3& aabb_min,
const glm::vec3& aabb_max,
const glm::vec3& start,
const glm::vec3& end) {
float tmin, tmax, tymin, tymax, tzmin, tzmax;
glm::vec3 direction = end - start;
if (direction.x >= 0) {
tmin = (aabb_min.x - start.x) / direction.x;
tmax = (aabb_max.x - start.x) / direction.x;
} else {
tmin = (aabb_max.x - start.x) / direction.x;
tmax = (aabb_min.x - start.x) / direction.x;
}
if (direction.y >= 0) {
tymin = (aabb_min.y - start.y) / direction.y;
tymax = (aabb_max.y - start.y) / direction.y;
} else {
tymin = (aabb_max.y - start.y) / direction.y;
tymax = (aabb_min.y - start.y) / direction.y;
}
if ((tmin > tymax) || (tymin > tmax)) return false;
if (tymin > tmin) tmin = tymin;
if (tymax < tmax) tmax = tymax;
if (direction.z >= 0) {
tzmin = (aabb_min.z - start.z) / direction.z;
tzmax = (aabb_max.z - start.z) / direction.z;
} else {
tzmin = (aabb_max.z - start.z) / direction.z;
tzmax = (aabb_min.z - start.z) / direction.z;
}
if ((tmin > tzmax) || (tzmin > tmax)) return false;
if (tzmin > tmin) tmin = tzmin;
if (tzmax < tmax) tmax = tzmax;
// Use the full length of the segment.
return ((tmin < 1.0f) && (tmax > 0));
}
glm::vec3 util::ApplyTransform(const glm::mat4& mat, const glm::vec3& vec) {
return glm::vec3(mat * glm::vec4(vec, 1.0f));
}
} // namespace tango_gl

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/*
* Copyright 2014 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "tango-gl/video_overlay.h"
#include "tango-gl/shaders.h"
namespace tango_gl {
static const GLfloat kVertices[] =
{-1.0, 1.0, 0.0,
-1.0, -1.0, 0.0,
1.0, 1.0, 0.0,
1.0, -1.0, 0.0};
static const GLushort kIndices[] =
{0, 1, 2, 2, 1, 3};
static const GLfloat kTextureCoords[] =
{0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 1.0, 1.0};
VideoOverlay::VideoOverlay() {
glEnable(GL_VERTEX_PROGRAM_POINT_SIZE);
shader_program_ =
util::CreateProgram(shaders::GetVideoOverlayVertexShader().c_str(),
shaders::GetVideoOverlayFragmentShader().c_str());
if (!shader_program_) {
LOGE("Could not create program.");
}
glGenTextures(1, &texture_id_);
glBindTexture(GL_TEXTURE_EXTERNAL_OES, texture_id_);
glTexParameteri(GL_TEXTURE_EXTERNAL_OES, GL_TEXTURE_MIN_FILTER, GL_NEAREST);
glTexParameteri(GL_TEXTURE_EXTERNAL_OES, GL_TEXTURE_MAG_FILTER, GL_NEAREST);
uniform_texture_ = glGetUniformLocation(shader_program_, "texture");
glGenBuffers(3, vertex_buffers_);
// Allocate vertices buffer.
glBindBuffer(GL_ARRAY_BUFFER, vertex_buffers_[0]);
glBufferData(GL_ARRAY_BUFFER, sizeof(GLfloat) * 3 * 4, kVertices,
GL_STATIC_DRAW);
glBindBuffer(GL_ARRAY_BUFFER, 0);
// Allocate triangle indices buffer.
glBindBuffer(GL_ELEMENT_ARRAY_BUFFER, vertex_buffers_[1]);
glBufferData(GL_ELEMENT_ARRAY_BUFFER, sizeof(GLushort) * 6, kIndices,
GL_STATIC_DRAW);
glBindBuffer(GL_ELEMENT_ARRAY_BUFFER, 0);
// Allocate texture coordinates buufer.
glBindBuffer(GL_ARRAY_BUFFER, vertex_buffers_[2]);
glBufferData(GL_ARRAY_BUFFER, sizeof(GLfloat) * 2 * 4, kTextureCoords,
GL_STATIC_DRAW);
glBindBuffer(GL_ARRAY_BUFFER, 0);
// Assign the vertices attribute data.
attrib_vertices_ = glGetAttribLocation(shader_program_, "vertex");
glBindBuffer(GL_ARRAY_BUFFER, vertex_buffers_[0]);
glEnableVertexAttribArray(attrib_vertices_);
glVertexAttribPointer(attrib_vertices_, 3, GL_FLOAT, GL_FALSE, 0, nullptr);
glBindBuffer(GL_ARRAY_BUFFER, 0);
// Assign the texture coordinates attribute data.
attrib_texture_coords_ = glGetAttribLocation(shader_program_, "textureCoords");
glBindBuffer(GL_ARRAY_BUFFER, vertex_buffers_[2]);
glEnableVertexAttribArray(attrib_texture_coords_);
glVertexAttribPointer(attrib_texture_coords_, 2, GL_FLOAT, GL_FALSE, 0,
nullptr);
glBindBuffer(GL_ARRAY_BUFFER, 0);
uniform_mvp_mat_ = glGetUniformLocation(shader_program_, "mvp");
}
void VideoOverlay::Render(const glm::mat4& projection_mat,
const glm::mat4& view_mat) const {
glUseProgram(shader_program_);
glUniform1i(uniform_texture_, 0);
glActiveTexture(GL_TEXTURE0);
glBindTexture(GL_TEXTURE_EXTERNAL_OES, texture_id_);
glm::mat4 model_mat = GetTransformationMatrix();
glm::mat4 mvp_mat = projection_mat * view_mat * model_mat;
glUniformMatrix4fv(uniform_mvp_mat_, 1, GL_FALSE, glm::value_ptr(mvp_mat));
// Bind vertices buffer.
glBindBuffer(GL_ARRAY_BUFFER, vertex_buffers_[0]);
glEnableVertexAttribArray(attrib_vertices_);
glVertexAttribPointer(attrib_vertices_, 3, GL_FLOAT, GL_FALSE, 0, nullptr);
glBindBuffer(GL_ARRAY_BUFFER, 0);
// Bind texture coordinates buffer.
glBindBuffer(GL_ARRAY_BUFFER, vertex_buffers_[2]);
glEnableVertexAttribArray(attrib_texture_coords_);
glVertexAttribPointer(attrib_texture_coords_, 2, GL_FLOAT, GL_FALSE, 0,
nullptr);
glBindBuffer(GL_ARRAY_BUFFER, 0);
// Bind element array buffer.
glBindBuffer(GL_ELEMENT_ARRAY_BUFFER, vertex_buffers_[1]);
glDrawElements(GL_TRIANGLES, 6, GL_UNSIGNED_SHORT, 0);
util::CheckGlError("glDrawElements");
glBindBuffer(GL_ELEMENT_ARRAY_BUFFER, 0);
glUseProgram(0);
util::CheckGlError("glUseProgram()");
}
} // namespace tango_gl

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@@ -0,0 +1,31 @@
///////////////////////////////////////////////////////////////////////////////////
/// OpenGL Mathematics (glm.g-truc.net)
///
/// Copyright (c) 2005 - 2014 G-Truc Creation (www.g-truc.net)
/// Permission is hereby granted, free of charge, to any person obtaining a copy
/// of this software and associated documentation files (the "Software"), to deal
/// in the Software without restriction, including without limitation the rights
/// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
/// copies of the Software, and to permit persons to whom the Software is
/// furnished to do so, subject to the following conditions:
///
/// The above copyright notice and this permission notice shall be included in
/// all copies or substantial portions of the Software.
///
/// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
/// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
/// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
/// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
/// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
/// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
/// THE SOFTWARE.
///
/// @ref core
/// @file glm/common.hpp
/// @date 2013-12-24 / 2013-12-24
/// @author Christophe Riccio
///////////////////////////////////////////////////////////////////////////////////
#pragma once
#include "detail/func_common.hpp"

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///////////////////////////////////////////////////////////////////////////////////
/// OpenGL Mathematics (glm.g-truc.net)
///
/// Copyright (c) 2005 - 2014 G-Truc Creation (www.g-truc.net)
/// Permission is hereby granted, free of charge, to any person obtaining a copy
/// of this software and associated documentation files (the "Software"), to deal
/// in the Software without restriction, including without limitation the rights
/// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
/// copies of the Software, and to permit persons to whom the Software is
/// furnished to do so, subject to the following conditions:
///
/// The above copyright notice and this permission notice shall be included in
/// all copies or substantial portions of the Software.
///
/// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
/// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
/// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
/// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
/// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
/// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
/// THE SOFTWARE.
///
/// @ref core
/// @file glm/core/_features.hpp
/// @date 2013-02-20 / 2013-02-20
/// @author Christophe Riccio
///////////////////////////////////////////////////////////////////////////////////
#pragma once
// #define GLM_CXX98_EXCEPTIONS
// #define GLM_CXX98_RTTI
// #define GLM_CXX11_RVALUE_REFERENCES
// Rvalue references - GCC 4.3
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2006/n2118.html
// GLM_CXX11_TRAILING_RETURN
// Rvalue references for *this - GCC not supported
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2439.htm
// GLM_CXX11_NONSTATIC_MEMBER_INIT
// Initialization of class objects by rvalues - GCC any
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2004/n1610.html
// GLM_CXX11_NONSTATIC_MEMBER_INIT
// Non-static data member initializers - GCC 4.7
// http://www.open-std.org/JTC1/SC22/WG21/docs/papers/2008/n2756.htm
// #define GLM_CXX11_VARIADIC_TEMPLATE
// Variadic templates - GCC 4.3
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2242.pdf
//
// Extending variadic template template parameters - GCC 4.4
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2008/n2555.pdf
// #define GLM_CXX11_GENERALIZED_INITIALIZERS
// Initializer lists - GCC 4.4
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2008/n2672.htm
// #define GLM_CXX11_STATIC_ASSERT
// Static assertions - GCC 4.3
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2004/n1720.html
// #define GLM_CXX11_AUTO_TYPE
// auto-typed variables - GCC 4.4
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2006/n1984.pdf
// #define GLM_CXX11_AUTO_TYPE
// Multi-declarator auto - GCC 4.4
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2004/n1737.pdf
// #define GLM_CXX11_AUTO_TYPE
// Removal of auto as a storage-class specifier - GCC 4.4
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2008/n2546.htm
// #define GLM_CXX11_AUTO_TYPE
// New function declarator syntax - GCC 4.4
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2008/n2541.htm
// #define GLM_CXX11_LAMBDAS
// New wording for C++0x lambdas - GCC 4.5
// http://www.open-std.org/JTC1/SC22/WG21/docs/papers/2009/n2927.pdf
// #define GLM_CXX11_DECLTYPE
// Declared type of an expression - GCC 4.3
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2343.pdf
//
// Right angle brackets - GCC 4.3
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2005/n1757.html
//
// Default template arguments for function templates DR226 GCC 4.3
// http://www.open-std.org/jtc1/sc22/wg21/docs/cwg_defects.html#226
//
// Solving the SFINAE problem for expressions DR339 GCC 4.4
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2008/n2634.html
// #define GLM_CXX11_ALIAS_TEMPLATE
// Template aliases N2258 GCC 4.7
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2258.pdf
//
// Extern templates N1987 Yes
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2006/n1987.htm
// #define GLM_CXX11_NULLPTR
// Null pointer constant N2431 GCC 4.6
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2431.pdf
// #define GLM_CXX11_STRONG_ENUMS
// Strongly-typed enums N2347 GCC 4.4
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2347.pdf
//
// Forward declarations for enums N2764 GCC 4.6
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2008/n2764.pdf
//
// Generalized attributes N2761 GCC 4.8
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2008/n2761.pdf
//
// Generalized constant expressions N2235 GCC 4.6
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2235.pdf
//
// Alignment support N2341 GCC 4.8
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2341.pdf
// #define GLM_CXX11_DELEGATING_CONSTRUCTORS
// Delegating constructors N1986 GCC 4.7
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2006/n1986.pdf
//
// Inheriting constructors N2540 GCC 4.8
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2008/n2540.htm
// #define GLM_CXX11_EXPLICIT_CONVERSIONS
// Explicit conversion operators N2437 GCC 4.5
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2437.pdf
//
// New character types N2249 GCC 4.4
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2249.html
//
// Unicode string literals N2442 GCC 4.5
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2442.htm
//
// Raw string literals N2442 GCC 4.5
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2442.htm
//
// Universal character name literals N2170 GCC 4.5
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2170.html
// #define GLM_CXX11_USER_LITERALS
// User-defined literals N2765 GCC 4.7
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2008/n2765.pdf
//
// Standard Layout Types N2342 GCC 4.5
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2342.htm
// #define GLM_CXX11_DEFAULTED_FUNCTIONS
// #define GLM_CXX11_DELETED_FUNCTIONS
// Defaulted and deleted functions N2346 GCC 4.4
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2346.htm
//
// Extended friend declarations N1791 GCC 4.7
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2005/n1791.pdf
//
// Extending sizeof N2253 GCC 4.4
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2253.html
// #define GLM_CXX11_INLINE_NAMESPACES
// Inline namespaces N2535 GCC 4.4
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2008/n2535.htm
// #define GLM_CXX11_UNRESTRICTED_UNIONS
// Unrestricted unions N2544 GCC 4.6
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2008/n2544.pdf
// #define GLM_CXX11_LOCAL_TYPE_TEMPLATE_ARGS
// Local and unnamed types as template arguments N2657 GCC 4.5
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2008/n2657.htm
// #define GLM_CXX11_RANGE_FOR
// Range-based for N2930 GCC 4.6
// http://www.open-std.org/JTC1/SC22/WG21/docs/papers/2009/n2930.html
// #define GLM_CXX11_OVERRIDE_CONTROL
// Explicit virtual overrides N2928 N3206 N3272 GCC 4.7
// http://www.open-std.org/JTC1/SC22/WG21/docs/papers/2009/n2928.htm
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2010/n3206.htm
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2011/n3272.htm
//
// Minimal support for garbage collection and reachability-based leak detection N2670 No
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2008/n2670.htm
// #define GLM_CXX11_NOEXCEPT
// Allowing move constructors to throw [noexcept] N3050 GCC 4.6 (core language only)
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2010/n3050.html
//
// Defining move special member functions N3053 GCC 4.6
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2010/n3053.html
//
// Sequence points N2239 Yes
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2239.html
//
// Atomic operations N2427 GCC 4.4
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2239.html
//
// Strong Compare and Exchange N2748 GCC 4.5
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2427.html
//
// Bidirectional Fences N2752 GCC 4.8
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2008/n2752.htm
//
// Memory model N2429 GCC 4.8
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2429.htm
//
// Data-dependency ordering: atomics and memory model N2664 GCC 4.4
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2008/n2664.htm
//
// Propagating exceptions N2179 GCC 4.4
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2179.html
//
// Abandoning a process and at_quick_exit N2440 GCC 4.8
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2440.htm
//
// Allow atomics use in signal handlers N2547 Yes
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2008/n2547.htm
//
// Thread-local storage N2659 GCC 4.8
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2008/n2659.htm
//
// Dynamic initialization and destruction with concurrency N2660 GCC 4.3
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2008/n2660.htm
//
// __func__ predefined identifier N2340 GCC 4.3
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2340.htm
//
// C99 preprocessor N1653 GCC 4.3
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2004/n1653.htm
//
// long long N1811 GCC 4.3
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2005/n1811.pdf
//
// Extended integral types N1988 Yes
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2006/n1988.pdf
#if(GLM_COMPILER & GLM_COMPILER_GCC)
# if(GLM_COMPILER >= GLM_COMPILER_GCC43)
# define GLM_CXX11_STATIC_ASSERT
# endif
#elif(GLM_COMPILER & GLM_COMPILER_CLANG)
# if(__has_feature(cxx_exceptions))
# define GLM_CXX98_EXCEPTIONS
# endif
# if(__has_feature(cxx_rtti))
# define GLM_CXX98_RTTI
# endif
# if(__has_feature(cxx_access_control_sfinae))
# define GLM_CXX11_ACCESS_CONTROL_SFINAE
# endif
# if(__has_feature(cxx_alias_templates))
# define GLM_CXX11_ALIAS_TEMPLATE
# endif
# if(__has_feature(cxx_alignas))
# define GLM_CXX11_ALIGNAS
# endif
# if(__has_feature(cxx_attributes))
# define GLM_CXX11_ATTRIBUTES
# endif
# if(__has_feature(cxx_constexpr))
# define GLM_CXX11_CONSTEXPR
# endif
# if(__has_feature(cxx_decltype))
# define GLM_CXX11_DECLTYPE
# endif
# if(__has_feature(cxx_default_function_template_args))
# define GLM_CXX11_DEFAULT_FUNCTION_TEMPLATE_ARGS
# endif
# if(__has_feature(cxx_defaulted_functions))
# define GLM_CXX11_DEFAULTED_FUNCTIONS
# endif
# if(__has_feature(cxx_delegating_constructors))
# define GLM_CXX11_DELEGATING_CONSTRUCTORS
# endif
# if(__has_feature(cxx_deleted_functions))
# define GLM_CXX11_DELETED_FUNCTIONS
# endif
# if(__has_feature(cxx_explicit_conversions))
# define GLM_CXX11_EXPLICIT_CONVERSIONS
# endif
# if(__has_feature(cxx_generalized_initializers))
# define GLM_CXX11_GENERALIZED_INITIALIZERS
# endif
# if(__has_feature(cxx_implicit_moves))
# define GLM_CXX11_IMPLICIT_MOVES
# endif
# if(__has_feature(cxx_inheriting_constructors))
# define GLM_CXX11_INHERITING_CONSTRUCTORS
# endif
# if(__has_feature(cxx_inline_namespaces))
# define GLM_CXX11_INLINE_NAMESPACES
# endif
# if(__has_feature(cxx_lambdas))
# define GLM_CXX11_LAMBDAS
# endif
# if(__has_feature(cxx_local_type_template_args))
# define GLM_CXX11_LOCAL_TYPE_TEMPLATE_ARGS
# endif
# if(__has_feature(cxx_noexcept))
# define GLM_CXX11_NOEXCEPT
# endif
# if(__has_feature(cxx_nonstatic_member_init))
# define GLM_CXX11_NONSTATIC_MEMBER_INIT
# endif
# if(__has_feature(cxx_nullptr))
# define GLM_CXX11_NULLPTR
# endif
# if(__has_feature(cxx_override_control))
# define GLM_CXX11_OVERRIDE_CONTROL
# endif
# if(__has_feature(cxx_reference_qualified_functions))
# define GLM_CXX11_REFERENCE_QUALIFIED_FUNCTIONS
# endif
# if(__has_feature(cxx_range_for))
# define GLM_CXX11_RANGE_FOR
# endif
# if(__has_feature(cxx_raw_string_literals))
# define GLM_CXX11_RAW_STRING_LITERALS
# endif
# if(__has_feature(cxx_rvalue_references))
# define GLM_CXX11_RVALUE_REFERENCES
# endif
# if(__has_feature(cxx_static_assert))
# define GLM_CXX11_STATIC_ASSERT
# endif
# if(__has_feature(cxx_auto_type))
# define GLM_CXX11_AUTO_TYPE
# endif
# if(__has_feature(cxx_strong_enums))
# define GLM_CXX11_STRONG_ENUMS
# endif
# if(__has_feature(cxx_trailing_return))
# define GLM_CXX11_TRAILING_RETURN
# endif
# if(__has_feature(cxx_unicode_literals))
# define GLM_CXX11_UNICODE_LITERALS
# endif
# if(__has_feature(cxx_unrestricted_unions))
# define GLM_CXX11_UNRESTRICTED_UNIONS
# endif
# if(__has_feature(cxx_user_literals))
# define GLM_CXX11_USER_LITERALS
# endif
# if(__has_feature(cxx_variadic_templates))
# define GLM_CXX11_VARIADIC_TEMPLATES
# endif
#endif//(GLM_COMPILER & GLM_COMPILER_CLANG)

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@@ -0,0 +1,55 @@
///////////////////////////////////////////////////////////////////////////////////
/// OpenGL Mathematics (glm.g-truc.net)
///
/// Copyright (c) 2005 - 2014 G-Truc Creation (www.g-truc.net)
/// Permission is hereby granted, free of charge, to any person obtaining a copy
/// of this software and associated documentation files (the "Software"), to deal
/// in the Software without restriction, including without limitation the rights
/// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
/// copies of the Software, and to permit persons to whom the Software is
/// furnished to do so, subject to the following conditions:
///
/// The above copyright notice and this permission notice shall be included in
/// all copies or substantial portions of the Software.
///
/// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
/// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
/// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
/// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
/// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
/// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
/// THE SOFTWARE.
///
/// @ref core
/// @file glm/core/_fixes.hpp
/// @date 2011-02-21 / 2011-11-22
/// @author Christophe Riccio
///////////////////////////////////////////////////////////////////////////////////
#include <cmath>
//! Workaround for compatibility with other libraries
#ifdef max
#undef max
#endif
//! Workaround for compatibility with other libraries
#ifdef min
#undef min
#endif
//! Workaround for Android
#ifdef isnan
#undef isnan
#endif
//! Workaround for Android
#ifdef isinf
#undef isinf
#endif
//! Workaround for Chrone Native Client
#ifdef log2
#undef log2
#endif

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@@ -0,0 +1,48 @@
///////////////////////////////////////////////////////////////////////////////////
/// OpenGL Mathematics (glm.g-truc.net)
///
/// Copyright (c) 2005 - 2014 G-Truc Creation (www.g-truc.net)
/// Permission is hereby granted, free of charge, to any person obtaining a copy
/// of this software and associated documentation files (the "Software"), to deal
/// in the Software without restriction, including without limitation the rights
/// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
/// copies of the Software, and to permit persons to whom the Software is
/// furnished to do so, subject to the following conditions:
///
/// The above copyright notice and this permission notice shall be included in
/// all copies or substantial portions of the Software.
///
/// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
/// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
/// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
/// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
/// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
/// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
/// THE SOFTWARE.
///
/// @ref core
/// @file glm/core/_literals.hpp
/// @date 2013-05-06 / 2013-05-06
/// @author Christophe Riccio
///////////////////////////////////////////////////////////////////////////////////
#pragma once
namespace glm
{
#define GLM_CXX11_USER_LITERALS
#ifdef GLM_CXX11_USER_LITERALS
/*
GLM_FUNC_QUALIFIER detail::half operator "" _h(long double const s)
{
return detail::half(s);
}
GLM_FUNC_QUALIFIER float operator "" _f(long double const s)
{
return static_cast<float>(s);
}
*/
#endif//GLM_CXX11_USER_LITERALS
}//namespace glm

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///////////////////////////////////////////////////////////////////////////////////
/// OpenGL Mathematics (glm.g-truc.net)
///
/// Copyright (c) 2005 - 2014 G-Truc Creation (www.g-truc.net)
/// Permission is hereby granted, free of charge, to any person obtaining a copy
/// of this software and associated documentation files (the "Software"), to deal
/// in the Software without restriction, including without limitation the rights
/// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
/// copies of the Software, and to permit persons to whom the Software is
/// furnished to do so, subject to the following conditions:
///
/// The above copyright notice and this permission notice shall be included in
/// all copies or substantial portions of the Software.
///
/// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
/// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
/// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
/// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
/// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
/// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
/// THE SOFTWARE.
///
/// @ref core
/// @file glm/detail/_noise.hpp
/// @date 2013-12-24 / 2013-12-24
/// @author Christophe Riccio
///////////////////////////////////////////////////////////////////////////////////
#pragma once
namespace glm{
namespace detail
{
template <typename T>
GLM_FUNC_QUALIFIER T mod289(T const & x)
{
return x - floor(x * static_cast<T>(1.0) / static_cast<T>(289.0)) * static_cast<T>(289.0);
}
template <typename T>
GLM_FUNC_QUALIFIER T permute(T const & x)
{
return mod289(((x * static_cast<T>(34)) + static_cast<T>(1)) * x);
}
template <typename T, precision P>
GLM_FUNC_QUALIFIER tvec2<T, P> permute(tvec2<T, P> const & x)
{
return mod289(((x * static_cast<T>(34)) + static_cast<T>(1)) * x);
}
template <typename T, precision P>
GLM_FUNC_QUALIFIER tvec3<T, P> permute(tvec3<T, P> const & x)
{
return mod289(((x * static_cast<T>(34)) + static_cast<T>(1)) * x);
}
template <typename T, precision P>
GLM_FUNC_QUALIFIER tvec4<T, P> permute(tvec4<T, P> const & x)
{
return mod289(((x * static_cast<T>(34)) + static_cast<T>(1)) * x);
}
/*
template <typename T, precision P, template<typename> class vecType>
GLM_FUNC_QUALIFIER vecType<T, P> permute(vecType<T, P> const & x)
{
return mod289(((x * T(34)) + T(1)) * x);
}
*/
template <typename T>
GLM_FUNC_QUALIFIER T taylorInvSqrt(T const & r)
{
return T(1.79284291400159) - T(0.85373472095314) * r;
}
template <typename T, precision P>
GLM_FUNC_QUALIFIER detail::tvec2<T, P> taylorInvSqrt(detail::tvec2<T, P> const & r)
{
return T(1.79284291400159) - T(0.85373472095314) * r;
}
template <typename T, precision P>
GLM_FUNC_QUALIFIER detail::tvec3<T, P> taylorInvSqrt(detail::tvec3<T, P> const & r)
{
return T(1.79284291400159) - T(0.85373472095314) * r;
}
template <typename T, precision P>
GLM_FUNC_QUALIFIER detail::tvec4<T, P> taylorInvSqrt(detail::tvec4<T, P> const & r)
{
return T(1.79284291400159) - T(0.85373472095314) * r;
}
/*
template <typename T, precision P, template<typename> class vecType>
GLM_FUNC_QUALIFIER vecType<T, P> taylorInvSqrt(vecType<T, P> const & r)
{
return T(1.79284291400159) - T(0.85373472095314) * r;
}
*/
template <typename T, precision P>
GLM_FUNC_QUALIFIER detail::tvec2<T, P> fade(detail::tvec2<T, P> const & t)
{
return (t * t * t) * (t * (t * T(6) - T(15)) + T(10));
}
template <typename T, precision P>
GLM_FUNC_QUALIFIER detail::tvec3<T, P> fade(detail::tvec3<T, P> const & t)
{
return (t * t * t) * (t * (t * T(6) - T(15)) + T(10));
}
template <typename T, precision P>
GLM_FUNC_QUALIFIER detail::tvec4<T, P> fade(detail::tvec4<T, P> const & t)
{
return (t * t * t) * (t * (t * T(6) - T(15)) + T(10));
}
/*
template <typename T, precision P, template <typename> class vecType>
GLM_FUNC_QUALIFIER vecType<T, P> fade(vecType<T, P> const & t)
{
return (t * t * t) * (t * (t * T(6) - T(15)) + T(10));
}
*/
}//namespace detail
}//namespace glm

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@@ -0,0 +1,837 @@
///////////////////////////////////////////////////////////////////////////////////
/// OpenGL Mathematics (glm.g-truc.net)
///
/// Copyright (c) 2005 - 2014 G-Truc Creation (www.g-truc.net)
/// Permission is hereby granted, free of charge, to any person obtaining a copy
/// of this software and associated documentation files (the "Software"), to deal
/// in the Software without restriction, including without limitation the rights
/// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
/// copies of the Software, and to permit persons to whom the Software is
/// furnished to do so, subject to the following conditions:
///
/// The above copyright notice and this permission notice shall be included in
/// all copies or substantial portions of the Software.
///
/// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
/// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
/// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
/// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
/// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
/// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
/// THE SOFTWARE.
///
/// @ref core
/// @file glm/core/_swizzle.hpp
/// @date 2006-04-20 / 2011-02-16
/// @author Christophe Riccio
///////////////////////////////////////////////////////////////////////////////////
#pragma once
namespace glm{
namespace detail
{
// Internal class for implementing swizzle operators
template <typename T, int N>
struct _swizzle_base0
{
typedef T value_type;
protected:
GLM_FUNC_QUALIFIER value_type& elem (size_t i) { return (reinterpret_cast<value_type*>(_buffer))[i]; }
GLM_FUNC_QUALIFIER const value_type& elem (size_t i) const { return (reinterpret_cast<const value_type*>(_buffer))[i]; }
// Use an opaque buffer to *ensure* the compiler doesn't call a constructor.
// The size 1 buffer is assumed to aligned to the actual members so that the
// elem()
char _buffer[1];
};
template <typename T, precision P, typename V, int E0, int E1, int E2, int E3, int N>
struct _swizzle_base1 : public _swizzle_base0<T, N>
{
};
template <typename T, precision P, typename V, int E0, int E1>
struct _swizzle_base1<T, P, V,E0,E1,-1,-2,2> : public _swizzle_base0<T, 2>
{
GLM_FUNC_QUALIFIER V operator ()() const { return V(this->elem(E0), this->elem(E1)); }
};
template <typename T, precision P, typename V, int E0, int E1, int E2>
struct _swizzle_base1<T, P, V,E0,E1,E2,-1,3> : public _swizzle_base0<T, 3>
{
GLM_FUNC_QUALIFIER V operator ()() const { return V(this->elem(E0), this->elem(E1), this->elem(E2)); }
};
template <typename T, precision P, typename V, int E0, int E1, int E2, int E3>
struct _swizzle_base1<T, P, V,E0,E1,E2,E3,4> : public _swizzle_base0<T, 4>
{
GLM_FUNC_QUALIFIER V operator ()() const { return V(this->elem(E0), this->elem(E1), this->elem(E2), this->elem(E3)); }
};
// Internal class for implementing swizzle operators
/*
Template parameters:
ValueType = type of scalar values (e.g. float, double)
VecType = class the swizzle is applies to (e.g. tvec3<float>)
N = number of components in the vector (e.g. 3)
E0...3 = what index the n-th element of this swizzle refers to in the unswizzled vec
DUPLICATE_ELEMENTS = 1 if there is a repeated element, 0 otherwise (used to specialize swizzles
containing duplicate elements so that they cannot be used as r-values).
*/
template <typename ValueType, precision P, typename VecType, int N, int E0, int E1, int E2, int E3, int DUPLICATE_ELEMENTS>
struct _swizzle_base2 : public _swizzle_base1<ValueType, P, VecType,E0,E1,E2,E3,N>
{
typedef VecType vec_type;
typedef ValueType value_type;
GLM_FUNC_QUALIFIER _swizzle_base2& operator= (const ValueType& t)
{
for (int i = 0; i < N; ++i)
(*this)[i] = t;
return *this;
}
GLM_FUNC_QUALIFIER _swizzle_base2& operator= (const VecType& that)
{
struct op {
GLM_FUNC_QUALIFIER void operator() (value_type& e, value_type& t) { e = t; }
};
_apply_op(that, op());
return *this;
}
GLM_FUNC_QUALIFIER void operator -= (const VecType& that)
{
struct op {
GLM_FUNC_QUALIFIER void operator() (value_type& e, value_type& t) { e -= t; }
};
_apply_op(that, op());
}
GLM_FUNC_QUALIFIER void operator += (const VecType& that)
{
struct op {
GLM_FUNC_QUALIFIER void operator() (value_type& e, value_type& t) { e += t; }
};
_apply_op(that, op());
}
GLM_FUNC_QUALIFIER void operator *= (const VecType& that)
{
struct op {
GLM_FUNC_QUALIFIER void operator() (value_type& e, value_type& t) { e *= t; }
};
_apply_op(that, op());
}
GLM_FUNC_QUALIFIER void operator /= (const VecType& that)
{
struct op {
GLM_FUNC_QUALIFIER void operator() (value_type& e, value_type& t) { e /= t; }
};
_apply_op(that, op());
}
GLM_FUNC_QUALIFIER value_type& operator[] (size_t i)
{
#ifndef __CUDA_ARCH__
static
#endif
const int offset_dst[4] = { E0, E1, E2, E3 };
return this->elem(offset_dst[i]);
}
GLM_FUNC_QUALIFIER value_type operator[] (size_t i) const
{
#ifndef __CUDA_ARCH__
static
#endif
const int offset_dst[4] = { E0, E1, E2, E3 };
return this->elem(offset_dst[i]);
}
protected:
template <typename T>
GLM_FUNC_QUALIFIER void _apply_op(const VecType& that, T op)
{
// Make a copy of the data in this == &that.
// The copier should optimize out the copy in cases where the function is
// properly inlined and the copy is not necessary.
ValueType t[N];
for (int i = 0; i < N; ++i)
t[i] = that[i];
for (int i = 0; i < N; ++i)
op( (*this)[i], t[i] );
}
};
// Specialization for swizzles containing duplicate elements. These cannot be modified.
template <typename ValueType, precision P, typename VecType, int N, int E0, int E1, int E2, int E3>
struct _swizzle_base2<ValueType, P, VecType,N,E0,E1,E2,E3,1> : public _swizzle_base1<ValueType, P, VecType,E0,E1,E2,E3,N>
{
typedef VecType vec_type;
typedef ValueType value_type;
struct Stub {};
GLM_FUNC_QUALIFIER _swizzle_base2& operator= (Stub const &) { return *this; }
GLM_FUNC_QUALIFIER value_type operator[] (size_t i) const
{
#ifndef __CUDA_ARCH__
static
#endif
const int offset_dst[4] = { E0, E1, E2, E3 };
return this->elem(offset_dst[i]);
}
};
template <int N,typename ValueType, precision P, typename VecType, int E0,int E1,int E2,int E3>
struct _swizzle : public _swizzle_base2<ValueType, P, VecType, N,E0,E1,E2,E3,(E0==E1||E0==E2||E0==E3||E1==E2||E1==E3||E2==E3)>
{
typedef _swizzle_base2<ValueType, P, VecType,N,E0,E1,E2,E3,(E0==E1||E0==E2||E0==E3||E1==E2||E1==E3||E2==E3)> base_type;
using base_type::operator=;
GLM_FUNC_QUALIFIER operator VecType () const { return (*this)(); }
};
//
// To prevent the C++ syntax from getting entirely overwhelming, define some alias macros
//
#define _GLM_SWIZZLE_TEMPLATE1 template <int N, typename T, precision P, typename V, int E0, int E1, int E2, int E3>
#define _GLM_SWIZZLE_TEMPLATE2 template <int N, typename T, precision P, typename V, int E0, int E1, int E2, int E3, int F0, int F1, int F2, int F3>
#define _GLM_SWIZZLE_TYPE1 _swizzle<N, T, P, V, E0, E1, E2, E3>
#define _GLM_SWIZZLE_TYPE2 _swizzle<N, T, P, V, F0, F1, F2, F3>
//
// Wrapper for a binary operator (e.g. u.yy + v.zy)
//
#define _GLM_SWIZZLE_VECTOR_BINARY_OPERATOR_IMPLEMENTATION(OPERAND) \
_GLM_SWIZZLE_TEMPLATE2 \
GLM_FUNC_QUALIFIER V operator OPERAND ( const _GLM_SWIZZLE_TYPE1& a, const _GLM_SWIZZLE_TYPE2& b) \
{ \
return a() OPERAND b(); \
} \
_GLM_SWIZZLE_TEMPLATE1 \
GLM_FUNC_QUALIFIER V operator OPERAND ( const _GLM_SWIZZLE_TYPE1& a, const V& b) \
{ \
return a() OPERAND b; \
} \
_GLM_SWIZZLE_TEMPLATE1 \
GLM_FUNC_QUALIFIER V operator OPERAND ( const V& a, const _GLM_SWIZZLE_TYPE1& b) \
{ \
return a OPERAND b(); \
}
//
// Wrapper for a operand between a swizzle and a binary (e.g. 1.0f - u.xyz)
//
#define _GLM_SWIZZLE_SCALAR_BINARY_OPERATOR_IMPLEMENTATION(OPERAND) \
_GLM_SWIZZLE_TEMPLATE1 \
GLM_FUNC_QUALIFIER V operator OPERAND ( const _GLM_SWIZZLE_TYPE1& a, const T& b) \
{ \
return a() OPERAND b; \
} \
_GLM_SWIZZLE_TEMPLATE1 \
GLM_FUNC_QUALIFIER V operator OPERAND ( const T& a, const _GLM_SWIZZLE_TYPE1& b) \
{ \
return a OPERAND b(); \
}
//
// Macro for wrapping a function taking one argument (e.g. abs())
//
#define _GLM_SWIZZLE_FUNCTION_1_ARGS(RETURN_TYPE,FUNCTION) \
_GLM_SWIZZLE_TEMPLATE1 \
GLM_FUNC_QUALIFIER typename _GLM_SWIZZLE_TYPE1::RETURN_TYPE FUNCTION(const _GLM_SWIZZLE_TYPE1& a) \
{ \
return FUNCTION(a()); \
}
//
// Macro for wrapping a function taking two vector arguments (e.g. dot()).
//
#define _GLM_SWIZZLE_FUNCTION_2_ARGS(RETURN_TYPE,FUNCTION) \
_GLM_SWIZZLE_TEMPLATE2 \
GLM_FUNC_QUALIFIER typename _GLM_SWIZZLE_TYPE1::RETURN_TYPE FUNCTION(const _GLM_SWIZZLE_TYPE1& a, const _GLM_SWIZZLE_TYPE2& b) \
{ \
return FUNCTION(a(), b()); \
} \
_GLM_SWIZZLE_TEMPLATE1 \
GLM_FUNC_QUALIFIER typename _GLM_SWIZZLE_TYPE1::RETURN_TYPE FUNCTION(const _GLM_SWIZZLE_TYPE1& a, const _GLM_SWIZZLE_TYPE1& b) \
{ \
return FUNCTION(a(), b()); \
} \
_GLM_SWIZZLE_TEMPLATE1 \
GLM_FUNC_QUALIFIER typename _GLM_SWIZZLE_TYPE1::RETURN_TYPE FUNCTION(const _GLM_SWIZZLE_TYPE1& a, const typename V& b) \
{ \
return FUNCTION(a(), b); \
} \
_GLM_SWIZZLE_TEMPLATE1 \
GLM_FUNC_QUALIFIER typename _GLM_SWIZZLE_TYPE1::RETURN_TYPE FUNCTION(const V& a, const _GLM_SWIZZLE_TYPE1& b) \
{ \
return FUNCTION(a, b()); \
}
//
// Macro for wrapping a function take 2 vec arguments followed by a scalar (e.g. mix()).
//
#define _GLM_SWIZZLE_FUNCTION_2_ARGS_SCALAR(RETURN_TYPE,FUNCTION) \
_GLM_SWIZZLE_TEMPLATE2 \
GLM_FUNC_QUALIFIER typename _GLM_SWIZZLE_TYPE1::RETURN_TYPE FUNCTION(const _GLM_SWIZZLE_TYPE1& a, const _GLM_SWIZZLE_TYPE2& b, const T& c) \
{ \
return FUNCTION(a(), b(), c); \
} \
_GLM_SWIZZLE_TEMPLATE1 \
GLM_FUNC_QUALIFIER typename _GLM_SWIZZLE_TYPE1::RETURN_TYPE FUNCTION(const _GLM_SWIZZLE_TYPE1& a, const _GLM_SWIZZLE_TYPE1& b, const T& c) \
{ \
return FUNCTION(a(), b(), c); \
} \
_GLM_SWIZZLE_TEMPLATE1 \
GLM_FUNC_QUALIFIER typename _GLM_SWIZZLE_TYPE1::RETURN_TYPE FUNCTION(const _GLM_SWIZZLE_TYPE1& a, const typename S0::vec_type& b, const T& c)\
{ \
return FUNCTION(a(), b, c); \
} \
_GLM_SWIZZLE_TEMPLATE1 \
GLM_FUNC_QUALIFIER typename _GLM_SWIZZLE_TYPE1::RETURN_TYPE FUNCTION(const typename V& a, const _GLM_SWIZZLE_TYPE1& b, const T& c) \
{ \
return FUNCTION(a, b(), c); \
}
}//namespace detail
}//namespace glm
namespace glm
{
namespace detail
{
_GLM_SWIZZLE_SCALAR_BINARY_OPERATOR_IMPLEMENTATION(-)
_GLM_SWIZZLE_SCALAR_BINARY_OPERATOR_IMPLEMENTATION(*)
_GLM_SWIZZLE_VECTOR_BINARY_OPERATOR_IMPLEMENTATION(+)
_GLM_SWIZZLE_VECTOR_BINARY_OPERATOR_IMPLEMENTATION(-)
_GLM_SWIZZLE_VECTOR_BINARY_OPERATOR_IMPLEMENTATION(*)
_GLM_SWIZZLE_VECTOR_BINARY_OPERATOR_IMPLEMENTATION(/)
}
//
// Swizzles are distinct types from the unswizzled type. The below macros will
// provide template specializations for the swizzle types for the given functions
// so that the compiler does not have any ambiguity to choosing how to handle
// the function.
//
// The alternative is to use the operator()() when calling the function in order
// to explicitly convert the swizzled type to the unswizzled type.
//
//_GLM_SWIZZLE_FUNCTION_1_ARGS(vec_type, abs);
//_GLM_SWIZZLE_FUNCTION_1_ARGS(vec_type, acos);
//_GLM_SWIZZLE_FUNCTION_1_ARGS(vec_type, acosh);
//_GLM_SWIZZLE_FUNCTION_1_ARGS(vec_type, all);
//_GLM_SWIZZLE_FUNCTION_1_ARGS(vec_type, any);
//_GLM_SWIZZLE_FUNCTION_2_ARGS(value_type, dot);
//_GLM_SWIZZLE_FUNCTION_2_ARGS(vec_type, cross);
//_GLM_SWIZZLE_FUNCTION_2_ARGS(vec_type, step);
//_GLM_SWIZZLE_FUNCTION_2_ARGS_SCALAR(vec_type, mix);
}
#define _GLM_SWIZZLE2_2_MEMBERS(T, P, V, E0,E1) \
struct { _swizzle<2, T, P, V<T, P>, 0,0,-1,-2> E0 ## E0; }; \
struct { _swizzle<2, T, P, V<T, P>, 0,1,-1,-2> E0 ## E1; }; \
struct { _swizzle<2, T, P, V<T, P>, 1,0,-1,-2> E1 ## E0; }; \
struct { _swizzle<2, T, P, V<T, P>, 1,1,-1,-2> E1 ## E1; };
#define _GLM_SWIZZLE2_3_MEMBERS(T, P, V, E0,E1) \
struct { _swizzle<3,T, P, V<T, P>, 0,0,0,-1> E0 ## E0 ## E0; }; \
struct { _swizzle<3,T, P, V<T, P>, 0,0,1,-1> E0 ## E0 ## E1; }; \
struct { _swizzle<3,T, P, V<T, P>, 0,1,0,-1> E0 ## E1 ## E0; }; \
struct { _swizzle<3,T, P, V<T, P>, 0,1,1,-1> E0 ## E1 ## E1; }; \
struct { _swizzle<3,T, P, V<T, P>, 1,0,0,-1> E1 ## E0 ## E0; }; \
struct { _swizzle<3,T, P, V<T, P>, 1,0,1,-1> E1 ## E0 ## E1; }; \
struct { _swizzle<3,T, P, V<T, P>, 1,1,0,-1> E1 ## E1 ## E0; }; \
struct { _swizzle<3,T, P, V<T, P>, 1,1,1,-1> E1 ## E1 ## E1; };
#define _GLM_SWIZZLE2_4_MEMBERS(T, P, V, E0,E1) \
struct { _swizzle<4,T, P, V<T, P>, 0,0,0,0> E0 ## E0 ## E0 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,0,0,1> E0 ## E0 ## E0 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,0,1,0> E0 ## E0 ## E1 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,0,1,1> E0 ## E0 ## E1 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,1,0,0> E0 ## E1 ## E0 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,1,0,1> E0 ## E1 ## E0 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,1,1,0> E0 ## E1 ## E1 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,1,1,1> E0 ## E1 ## E1 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,0,0,0> E1 ## E0 ## E0 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,0,0,1> E1 ## E0 ## E0 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,0,1,0> E1 ## E0 ## E1 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,0,1,1> E1 ## E0 ## E1 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,1,0,0> E1 ## E1 ## E0 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,1,0,1> E1 ## E1 ## E0 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,1,1,0> E1 ## E1 ## E1 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,1,1,1> E1 ## E1 ## E1 ## E1; };
#define _GLM_SWIZZLE3_2_MEMBERS(T, P, V, E0,E1,E2) \
struct { _swizzle<2,T, P, V<T, P>, 0,0,-1,-2> E0 ## E0; }; \
struct { _swizzle<2,T, P, V<T, P>, 0,1,-1,-2> E0 ## E1; }; \
struct { _swizzle<2,T, P, V<T, P>, 0,2,-1,-2> E0 ## E2; }; \
struct { _swizzle<2,T, P, V<T, P>, 1,0,-1,-2> E1 ## E0; }; \
struct { _swizzle<2,T, P, V<T, P>, 1,1,-1,-2> E1 ## E1; }; \
struct { _swizzle<2,T, P, V<T, P>, 1,2,-1,-2> E1 ## E2; }; \
struct { _swizzle<2,T, P, V<T, P>, 2,0,-1,-2> E2 ## E0; }; \
struct { _swizzle<2,T, P, V<T, P>, 2,1,-1,-2> E2 ## E1; }; \
struct { _swizzle<2,T, P, V<T, P>, 2,2,-1,-2> E2 ## E2; };
#define _GLM_SWIZZLE3_3_MEMBERS(T, P, V ,E0,E1,E2) \
struct { _swizzle<3,T,P, V<T, P>, 0,0,0,-1> E0 ## E0 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 0,0,1,-1> E0 ## E0 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 0,0,2,-1> E0 ## E0 ## E2; }; \
struct { _swizzle<3,T,P, V<T, P>, 0,1,0,-1> E0 ## E1 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 0,1,1,-1> E0 ## E1 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 0,1,2,-1> E0 ## E1 ## E2; }; \
struct { _swizzle<3,T,P, V<T, P>, 0,2,0,-1> E0 ## E2 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 0,2,1,-1> E0 ## E2 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 0,2,2,-1> E0 ## E2 ## E2; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,0,0,-1> E1 ## E0 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,0,1,-1> E1 ## E0 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,0,2,-1> E1 ## E0 ## E2; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,1,0,-1> E1 ## E1 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,1,1,-1> E1 ## E1 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,1,2,-1> E1 ## E1 ## E2; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,2,0,-1> E1 ## E2 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,2,1,-1> E1 ## E2 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,2,2,-1> E1 ## E2 ## E2; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,0,0,-1> E2 ## E0 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,0,1,-1> E2 ## E0 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,0,2,-1> E2 ## E0 ## E2; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,1,0,-1> E2 ## E1 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,1,1,-1> E2 ## E1 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,1,2,-1> E2 ## E1 ## E2; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,2,0,-1> E2 ## E2 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,2,1,-1> E2 ## E2 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,2,2,-1> E2 ## E2 ## E2; };
#define _GLM_SWIZZLE3_4_MEMBERS(T, P, V, E0,E1,E2) \
struct { _swizzle<4,T, P, V<T, P>, 0,0,0,0> E0 ## E0 ## E0 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,0,0,1> E0 ## E0 ## E0 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,0,0,2> E0 ## E0 ## E0 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,0,1,0> E0 ## E0 ## E1 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,0,1,1> E0 ## E0 ## E1 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,0,1,2> E0 ## E0 ## E1 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,0,2,0> E0 ## E0 ## E2 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,0,2,1> E0 ## E0 ## E2 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,0,2,2> E0 ## E0 ## E2 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,1,0,0> E0 ## E1 ## E0 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,1,0,1> E0 ## E1 ## E0 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,1,0,2> E0 ## E1 ## E0 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,1,1,0> E0 ## E1 ## E1 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,1,1,1> E0 ## E1 ## E1 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,1,1,2> E0 ## E1 ## E1 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,1,2,0> E0 ## E1 ## E2 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,1,2,1> E0 ## E1 ## E2 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,1,2,2> E0 ## E1 ## E2 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,2,0,0> E0 ## E2 ## E0 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,2,0,1> E0 ## E2 ## E0 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,2,0,2> E0 ## E2 ## E0 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,2,1,0> E0 ## E2 ## E1 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,2,1,1> E0 ## E2 ## E1 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,2,1,2> E0 ## E2 ## E1 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,2,2,0> E0 ## E2 ## E2 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,2,2,1> E0 ## E2 ## E2 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 0,2,2,2> E0 ## E2 ## E2 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,0,0,0> E1 ## E0 ## E0 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,0,0,1> E1 ## E0 ## E0 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,0,0,2> E1 ## E0 ## E0 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,0,1,0> E1 ## E0 ## E1 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,0,1,1> E1 ## E0 ## E1 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,0,1,2> E1 ## E0 ## E1 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,0,2,0> E1 ## E0 ## E2 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,0,2,1> E1 ## E0 ## E2 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,0,2,2> E1 ## E0 ## E2 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,1,0,0> E1 ## E1 ## E0 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,1,0,1> E1 ## E1 ## E0 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,1,0,2> E1 ## E1 ## E0 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,1,1,0> E1 ## E1 ## E1 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,1,1,1> E1 ## E1 ## E1 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,1,1,2> E1 ## E1 ## E1 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,1,2,0> E1 ## E1 ## E2 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,1,2,1> E1 ## E1 ## E2 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,1,2,2> E1 ## E1 ## E2 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,2,0,0> E1 ## E2 ## E0 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,2,0,1> E1 ## E2 ## E0 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,2,0,2> E1 ## E2 ## E0 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,2,1,0> E1 ## E2 ## E1 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,2,1,1> E1 ## E2 ## E1 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,2,1,2> E1 ## E2 ## E1 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,2,2,0> E1 ## E2 ## E2 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,2,2,1> E1 ## E2 ## E2 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 1,2,2,2> E1 ## E2 ## E2 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,0,0,0> E2 ## E0 ## E0 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,0,0,1> E2 ## E0 ## E0 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,0,0,2> E2 ## E0 ## E0 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,0,1,0> E2 ## E0 ## E1 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,0,1,1> E2 ## E0 ## E1 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,0,1,2> E2 ## E0 ## E1 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,0,2,0> E2 ## E0 ## E2 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,0,2,1> E2 ## E0 ## E2 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,0,2,2> E2 ## E0 ## E2 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,1,0,0> E2 ## E1 ## E0 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,1,0,1> E2 ## E1 ## E0 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,1,0,2> E2 ## E1 ## E0 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,1,1,0> E2 ## E1 ## E1 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,1,1,1> E2 ## E1 ## E1 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,1,1,2> E2 ## E1 ## E1 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,1,2,0> E2 ## E1 ## E2 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,1,2,1> E2 ## E1 ## E2 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,1,2,2> E2 ## E1 ## E2 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,2,0,0> E2 ## E2 ## E0 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,2,0,1> E2 ## E2 ## E0 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,2,0,2> E2 ## E2 ## E0 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,2,1,0> E2 ## E2 ## E1 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,2,1,1> E2 ## E2 ## E1 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,2,1,2> E2 ## E2 ## E1 ## E2; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,2,2,0> E2 ## E2 ## E2 ## E0; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,2,2,1> E2 ## E2 ## E2 ## E1; }; \
struct { _swizzle<4,T, P, V<T, P>, 2,2,2,2> E2 ## E2 ## E2 ## E2; };
#define _GLM_SWIZZLE4_2_MEMBERS(T, P, V, E0,E1,E2,E3) \
struct { _swizzle<2,T, P, V<T, P>, 0,0,-1,-2> E0 ## E0; }; \
struct { _swizzle<2,T, P, V<T, P>, 0,1,-1,-2> E0 ## E1; }; \
struct { _swizzle<2,T, P, V<T, P>, 0,2,-1,-2> E0 ## E2; }; \
struct { _swizzle<2,T, P, V<T, P>, 0,3,-1,-2> E0 ## E3; }; \
struct { _swizzle<2,T, P, V<T, P>, 1,0,-1,-2> E1 ## E0; }; \
struct { _swizzle<2,T, P, V<T, P>, 1,1,-1,-2> E1 ## E1; }; \
struct { _swizzle<2,T, P, V<T, P>, 1,2,-1,-2> E1 ## E2; }; \
struct { _swizzle<2,T, P, V<T, P>, 1,3,-1,-2> E1 ## E3; }; \
struct { _swizzle<2,T, P, V<T, P>, 2,0,-1,-2> E2 ## E0; }; \
struct { _swizzle<2,T, P, V<T, P>, 2,1,-1,-2> E2 ## E1; }; \
struct { _swizzle<2,T, P, V<T, P>, 2,2,-1,-2> E2 ## E2; }; \
struct { _swizzle<2,T, P, V<T, P>, 2,3,-1,-2> E2 ## E3; }; \
struct { _swizzle<2,T, P, V<T, P>, 3,0,-1,-2> E3 ## E0; }; \
struct { _swizzle<2,T, P, V<T, P>, 3,1,-1,-2> E3 ## E1; }; \
struct { _swizzle<2,T, P, V<T, P>, 3,2,-1,-2> E3 ## E2; }; \
struct { _swizzle<2,T, P, V<T, P>, 3,3,-1,-2> E3 ## E3; };
#define _GLM_SWIZZLE4_3_MEMBERS(T,P, V, E0,E1,E2,E3) \
struct { _swizzle<3,T,P, V<T, P>, 0,0,0,-1> E0 ## E0 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 0,0,1,-1> E0 ## E0 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 0,0,2,-1> E0 ## E0 ## E2; }; \
struct { _swizzle<3,T,P, V<T, P>, 0,0,3,-1> E0 ## E0 ## E3; }; \
struct { _swizzle<3,T,P, V<T, P>, 0,1,0,-1> E0 ## E1 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 0,1,1,-1> E0 ## E1 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 0,1,2,-1> E0 ## E1 ## E2; }; \
struct { _swizzle<3,T,P, V<T, P>, 0,1,3,-1> E0 ## E1 ## E3; }; \
struct { _swizzle<3,T,P, V<T, P>, 0,2,0,-1> E0 ## E2 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 0,2,1,-1> E0 ## E2 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 0,2,2,-1> E0 ## E2 ## E2; }; \
struct { _swizzle<3,T,P, V<T, P>, 0,2,3,-1> E0 ## E2 ## E3; }; \
struct { _swizzle<3,T,P, V<T, P>, 0,3,0,-1> E0 ## E3 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 0,3,1,-1> E0 ## E3 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 0,3,2,-1> E0 ## E3 ## E2; }; \
struct { _swizzle<3,T,P, V<T, P>, 0,3,3,-1> E0 ## E3 ## E3; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,0,0,-1> E1 ## E0 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,0,1,-1> E1 ## E0 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,0,2,-1> E1 ## E0 ## E2; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,0,3,-1> E1 ## E0 ## E3; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,1,0,-1> E1 ## E1 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,1,1,-1> E1 ## E1 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,1,2,-1> E1 ## E1 ## E2; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,1,3,-1> E1 ## E1 ## E3; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,2,0,-1> E1 ## E2 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,2,1,-1> E1 ## E2 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,2,2,-1> E1 ## E2 ## E2; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,2,3,-1> E1 ## E2 ## E3; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,3,0,-1> E1 ## E3 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,3,1,-1> E1 ## E3 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,3,2,-1> E1 ## E3 ## E2; }; \
struct { _swizzle<3,T,P, V<T, P>, 1,3,3,-1> E1 ## E3 ## E3; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,0,0,-1> E2 ## E0 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,0,1,-1> E2 ## E0 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,0,2,-1> E2 ## E0 ## E2; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,0,3,-1> E2 ## E0 ## E3; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,1,0,-1> E2 ## E1 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,1,1,-1> E2 ## E1 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,1,2,-1> E2 ## E1 ## E2; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,1,3,-1> E2 ## E1 ## E3; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,2,0,-1> E2 ## E2 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,2,1,-1> E2 ## E2 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,2,2,-1> E2 ## E2 ## E2; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,2,3,-1> E2 ## E2 ## E3; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,3,0,-1> E2 ## E3 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,3,1,-1> E2 ## E3 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,3,2,-1> E2 ## E3 ## E2; }; \
struct { _swizzle<3,T,P, V<T, P>, 2,3,3,-1> E2 ## E3 ## E3; }; \
struct { _swizzle<3,T,P, V<T, P>, 3,0,0,-1> E3 ## E0 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 3,0,1,-1> E3 ## E0 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 3,0,2,-1> E3 ## E0 ## E2; }; \
struct { _swizzle<3,T,P, V<T, P>, 3,0,3,-1> E3 ## E0 ## E3; }; \
struct { _swizzle<3,T,P, V<T, P>, 3,1,0,-1> E3 ## E1 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 3,1,1,-1> E3 ## E1 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 3,1,2,-1> E3 ## E1 ## E2; }; \
struct { _swizzle<3,T,P, V<T, P>, 3,1,3,-1> E3 ## E1 ## E3; }; \
struct { _swizzle<3,T,P, V<T, P>, 3,2,0,-1> E3 ## E2 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 3,2,1,-1> E3 ## E2 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 3,2,2,-1> E3 ## E2 ## E2; }; \
struct { _swizzle<3,T,P, V<T, P>, 3,2,3,-1> E3 ## E2 ## E3; }; \
struct { _swizzle<3,T,P, V<T, P>, 3,3,0,-1> E3 ## E3 ## E0; }; \
struct { _swizzle<3,T,P, V<T, P>, 3,3,1,-1> E3 ## E3 ## E1; }; \
struct { _swizzle<3,T,P, V<T, P>, 3,3,2,-1> E3 ## E3 ## E2; }; \
struct { _swizzle<3,T,P, V<T, P>, 3,3,3,-1> E3 ## E3 ## E3; };
#define _GLM_SWIZZLE4_4_MEMBERS(T, P, V, E0,E1,E2,E3) \
struct { _swizzle<4, T, P, V<T, P>, 0,0,0,0> E0 ## E0 ## E0 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,0,0,1> E0 ## E0 ## E0 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,0,0,2> E0 ## E0 ## E0 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,0,0,3> E0 ## E0 ## E0 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,0,1,0> E0 ## E0 ## E1 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,0,1,1> E0 ## E0 ## E1 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,0,1,2> E0 ## E0 ## E1 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,0,1,3> E0 ## E0 ## E1 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,0,2,0> E0 ## E0 ## E2 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,0,2,1> E0 ## E0 ## E2 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,0,2,2> E0 ## E0 ## E2 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,0,2,3> E0 ## E0 ## E2 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,0,3,0> E0 ## E0 ## E3 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,0,3,1> E0 ## E0 ## E3 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,0,3,2> E0 ## E0 ## E3 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,0,3,3> E0 ## E0 ## E3 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,1,0,0> E0 ## E1 ## E0 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,1,0,1> E0 ## E1 ## E0 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,1,0,2> E0 ## E1 ## E0 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,1,0,3> E0 ## E1 ## E0 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,1,1,0> E0 ## E1 ## E1 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,1,1,1> E0 ## E1 ## E1 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,1,1,2> E0 ## E1 ## E1 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,1,1,3> E0 ## E1 ## E1 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,1,2,0> E0 ## E1 ## E2 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,1,2,1> E0 ## E1 ## E2 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,1,2,2> E0 ## E1 ## E2 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,1,2,3> E0 ## E1 ## E2 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,1,3,0> E0 ## E1 ## E3 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,1,3,1> E0 ## E1 ## E3 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,1,3,2> E0 ## E1 ## E3 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,1,3,3> E0 ## E1 ## E3 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,2,0,0> E0 ## E2 ## E0 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,2,0,1> E0 ## E2 ## E0 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,2,0,2> E0 ## E2 ## E0 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,2,0,3> E0 ## E2 ## E0 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,2,1,0> E0 ## E2 ## E1 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,2,1,1> E0 ## E2 ## E1 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,2,1,2> E0 ## E2 ## E1 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,2,1,3> E0 ## E2 ## E1 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,2,2,0> E0 ## E2 ## E2 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,2,2,1> E0 ## E2 ## E2 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,2,2,2> E0 ## E2 ## E2 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,2,2,3> E0 ## E2 ## E2 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,2,3,0> E0 ## E2 ## E3 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,2,3,1> E0 ## E2 ## E3 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,2,3,2> E0 ## E2 ## E3 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,2,3,3> E0 ## E2 ## E3 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,3,0,0> E0 ## E3 ## E0 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,3,0,1> E0 ## E3 ## E0 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,3,0,2> E0 ## E3 ## E0 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,3,0,3> E0 ## E3 ## E0 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,3,1,0> E0 ## E3 ## E1 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,3,1,1> E0 ## E3 ## E1 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,3,1,2> E0 ## E3 ## E1 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,3,1,3> E0 ## E3 ## E1 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,3,2,0> E0 ## E3 ## E2 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,3,2,1> E0 ## E3 ## E2 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,3,2,2> E0 ## E3 ## E2 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,3,2,3> E0 ## E3 ## E2 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,3,3,0> E0 ## E3 ## E3 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,3,3,1> E0 ## E3 ## E3 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,3,3,2> E0 ## E3 ## E3 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 0,3,3,3> E0 ## E3 ## E3 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,0,0,0> E1 ## E0 ## E0 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,0,0,1> E1 ## E0 ## E0 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,0,0,2> E1 ## E0 ## E0 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,0,0,3> E1 ## E0 ## E0 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,0,1,0> E1 ## E0 ## E1 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,0,1,1> E1 ## E0 ## E1 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,0,1,2> E1 ## E0 ## E1 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,0,1,3> E1 ## E0 ## E1 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,0,2,0> E1 ## E0 ## E2 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,0,2,1> E1 ## E0 ## E2 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,0,2,2> E1 ## E0 ## E2 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,0,2,3> E1 ## E0 ## E2 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,0,3,0> E1 ## E0 ## E3 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,0,3,1> E1 ## E0 ## E3 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,0,3,2> E1 ## E0 ## E3 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,0,3,3> E1 ## E0 ## E3 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,1,0,0> E1 ## E1 ## E0 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,1,0,1> E1 ## E1 ## E0 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,1,0,2> E1 ## E1 ## E0 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,1,0,3> E1 ## E1 ## E0 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,1,1,0> E1 ## E1 ## E1 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,1,1,1> E1 ## E1 ## E1 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,1,1,2> E1 ## E1 ## E1 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,1,1,3> E1 ## E1 ## E1 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,1,2,0> E1 ## E1 ## E2 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,1,2,1> E1 ## E1 ## E2 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,1,2,2> E1 ## E1 ## E2 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,1,2,3> E1 ## E1 ## E2 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,1,3,0> E1 ## E1 ## E3 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,1,3,1> E1 ## E1 ## E3 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,1,3,2> E1 ## E1 ## E3 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,1,3,3> E1 ## E1 ## E3 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,2,0,0> E1 ## E2 ## E0 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,2,0,1> E1 ## E2 ## E0 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,2,0,2> E1 ## E2 ## E0 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,2,0,3> E1 ## E2 ## E0 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,2,1,0> E1 ## E2 ## E1 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,2,1,1> E1 ## E2 ## E1 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,2,1,2> E1 ## E2 ## E1 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,2,1,3> E1 ## E2 ## E1 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,2,2,0> E1 ## E2 ## E2 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,2,2,1> E1 ## E2 ## E2 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,2,2,2> E1 ## E2 ## E2 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,2,2,3> E1 ## E2 ## E2 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,2,3,0> E1 ## E2 ## E3 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,2,3,1> E1 ## E2 ## E3 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,2,3,2> E1 ## E2 ## E3 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,2,3,3> E1 ## E2 ## E3 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,3,0,0> E1 ## E3 ## E0 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,3,0,1> E1 ## E3 ## E0 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,3,0,2> E1 ## E3 ## E0 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,3,0,3> E1 ## E3 ## E0 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,3,1,0> E1 ## E3 ## E1 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,3,1,1> E1 ## E3 ## E1 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,3,1,2> E1 ## E3 ## E1 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,3,1,3> E1 ## E3 ## E1 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,3,2,0> E1 ## E3 ## E2 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,3,2,1> E1 ## E3 ## E2 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,3,2,2> E1 ## E3 ## E2 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,3,2,3> E1 ## E3 ## E2 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,3,3,0> E1 ## E3 ## E3 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,3,3,1> E1 ## E3 ## E3 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,3,3,2> E1 ## E3 ## E3 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 1,3,3,3> E1 ## E3 ## E3 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,0,0,0> E2 ## E0 ## E0 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,0,0,1> E2 ## E0 ## E0 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,0,0,2> E2 ## E0 ## E0 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,0,0,3> E2 ## E0 ## E0 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,0,1,0> E2 ## E0 ## E1 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,0,1,1> E2 ## E0 ## E1 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,0,1,2> E2 ## E0 ## E1 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,0,1,3> E2 ## E0 ## E1 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,0,2,0> E2 ## E0 ## E2 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,0,2,1> E2 ## E0 ## E2 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,0,2,2> E2 ## E0 ## E2 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,0,2,3> E2 ## E0 ## E2 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,0,3,0> E2 ## E0 ## E3 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,0,3,1> E2 ## E0 ## E3 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,0,3,2> E2 ## E0 ## E3 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,0,3,3> E2 ## E0 ## E3 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,1,0,0> E2 ## E1 ## E0 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,1,0,1> E2 ## E1 ## E0 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,1,0,2> E2 ## E1 ## E0 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,1,0,3> E2 ## E1 ## E0 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,1,1,0> E2 ## E1 ## E1 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,1,1,1> E2 ## E1 ## E1 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,1,1,2> E2 ## E1 ## E1 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,1,1,3> E2 ## E1 ## E1 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,1,2,0> E2 ## E1 ## E2 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,1,2,1> E2 ## E1 ## E2 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,1,2,2> E2 ## E1 ## E2 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,1,2,3> E2 ## E1 ## E2 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,1,3,0> E2 ## E1 ## E3 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,1,3,1> E2 ## E1 ## E3 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,1,3,2> E2 ## E1 ## E3 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,1,3,3> E2 ## E1 ## E3 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,2,0,0> E2 ## E2 ## E0 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,2,0,1> E2 ## E2 ## E0 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,2,0,2> E2 ## E2 ## E0 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,2,0,3> E2 ## E2 ## E0 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,2,1,0> E2 ## E2 ## E1 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,2,1,1> E2 ## E2 ## E1 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,2,1,2> E2 ## E2 ## E1 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,2,1,3> E2 ## E2 ## E1 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,2,2,0> E2 ## E2 ## E2 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,2,2,1> E2 ## E2 ## E2 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,2,2,2> E2 ## E2 ## E2 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,2,2,3> E2 ## E2 ## E2 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,2,3,0> E2 ## E2 ## E3 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,2,3,1> E2 ## E2 ## E3 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,2,3,2> E2 ## E2 ## E3 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,2,3,3> E2 ## E2 ## E3 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,3,0,0> E2 ## E3 ## E0 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,3,0,1> E2 ## E3 ## E0 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,3,0,2> E2 ## E3 ## E0 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,3,0,3> E2 ## E3 ## E0 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,3,1,0> E2 ## E3 ## E1 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,3,1,1> E2 ## E3 ## E1 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,3,1,2> E2 ## E3 ## E1 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,3,1,3> E2 ## E3 ## E1 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,3,2,0> E2 ## E3 ## E2 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,3,2,1> E2 ## E3 ## E2 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,3,2,2> E2 ## E3 ## E2 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,3,2,3> E2 ## E3 ## E2 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,3,3,0> E2 ## E3 ## E3 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,3,3,1> E2 ## E3 ## E3 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,3,3,2> E2 ## E3 ## E3 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 2,3,3,3> E2 ## E3 ## E3 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,0,0,0> E3 ## E0 ## E0 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,0,0,1> E3 ## E0 ## E0 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,0,0,2> E3 ## E0 ## E0 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,0,0,3> E3 ## E0 ## E0 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,0,1,0> E3 ## E0 ## E1 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,0,1,1> E3 ## E0 ## E1 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,0,1,2> E3 ## E0 ## E1 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,0,1,3> E3 ## E0 ## E1 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,0,2,0> E3 ## E0 ## E2 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,0,2,1> E3 ## E0 ## E2 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,0,2,2> E3 ## E0 ## E2 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,0,2,3> E3 ## E0 ## E2 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,0,3,0> E3 ## E0 ## E3 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,0,3,1> E3 ## E0 ## E3 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,0,3,2> E3 ## E0 ## E3 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,0,3,3> E3 ## E0 ## E3 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,1,0,0> E3 ## E1 ## E0 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,1,0,1> E3 ## E1 ## E0 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,1,0,2> E3 ## E1 ## E0 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,1,0,3> E3 ## E1 ## E0 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,1,1,0> E3 ## E1 ## E1 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,1,1,1> E3 ## E1 ## E1 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,1,1,2> E3 ## E1 ## E1 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,1,1,3> E3 ## E1 ## E1 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,1,2,0> E3 ## E1 ## E2 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,1,2,1> E3 ## E1 ## E2 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,1,2,2> E3 ## E1 ## E2 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,1,2,3> E3 ## E1 ## E2 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,1,3,0> E3 ## E1 ## E3 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,1,3,1> E3 ## E1 ## E3 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,1,3,2> E3 ## E1 ## E3 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,1,3,3> E3 ## E1 ## E3 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,2,0,0> E3 ## E2 ## E0 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,2,0,1> E3 ## E2 ## E0 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,2,0,2> E3 ## E2 ## E0 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,2,0,3> E3 ## E2 ## E0 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,2,1,0> E3 ## E2 ## E1 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,2,1,1> E3 ## E2 ## E1 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,2,1,2> E3 ## E2 ## E1 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,2,1,3> E3 ## E2 ## E1 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,2,2,0> E3 ## E2 ## E2 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,2,2,1> E3 ## E2 ## E2 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,2,2,2> E3 ## E2 ## E2 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,2,2,3> E3 ## E2 ## E2 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,2,3,0> E3 ## E2 ## E3 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,2,3,1> E3 ## E2 ## E3 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,2,3,2> E3 ## E2 ## E3 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,2,3,3> E3 ## E2 ## E3 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,3,0,0> E3 ## E3 ## E0 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,3,0,1> E3 ## E3 ## E0 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,3,0,2> E3 ## E3 ## E0 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,3,0,3> E3 ## E3 ## E0 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,3,1,0> E3 ## E3 ## E1 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,3,1,1> E3 ## E3 ## E1 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,3,1,2> E3 ## E3 ## E1 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,3,1,3> E3 ## E3 ## E1 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,3,2,0> E3 ## E3 ## E2 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,3,2,1> E3 ## E3 ## E2 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,3,2,2> E3 ## E3 ## E2 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,3,2,3> E3 ## E3 ## E2 ## E3; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,3,3,0> E3 ## E3 ## E3 ## E0; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,3,3,1> E3 ## E3 ## E3 ## E1; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,3,3,2> E3 ## E3 ## E3 ## E2; }; \
struct { _swizzle<4, T, P, V<T, P>, 3,3,3,3> E3 ## E3 ## E3 ## E3; };

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@@ -0,0 +1,721 @@
///////////////////////////////////////////////////////////////////////////////////
/// OpenGL Mathematics (glm.g-truc.net)
///
/// Copyright (c) 2005 - 2014 G-Truc Creation (www.g-truc.net)
/// Permission is hereby granted, free of charge, to any person obtaining a copy
/// of this software and associated documentation files (the "Software"), to deal
/// in the Software without restriction, including without limitation the rights
/// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
/// copies of the Software, and to permit persons to whom the Software is
/// furnished to do so, subject to the following conditions:
///
/// The above copyright notice and this permission notice shall be included in
/// all copies or substantial portions of the Software.
///
/// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
/// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
/// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
/// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
/// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
/// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
/// THE SOFTWARE.
///
/// @ref core
/// @file glm/core/_swizzle_func.hpp
/// @date 2011-10-16 / 2011-10-16
/// @author Christophe Riccio
///////////////////////////////////////////////////////////////////////////////////
#pragma once
#define GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, CONST, A, B) \
SWIZZLED_TYPE<TMPL_TYPE, PRECISION> A ## B() CONST \
{ \
return SWIZZLED_TYPE<TMPL_TYPE, PRECISION>(this->A, this->B); \
}
#define GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, CONST, A, B, C) \
SWIZZLED_TYPE<TMPL_TYPE, PRECISION> A ## B ## C() CONST \
{ \
return SWIZZLED_TYPE<TMPL_TYPE, PRECISION>(this->A, this->B, this->C); \
}
#define GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, CONST, A, B, C, D) \
SWIZZLED_TYPE<TMPL_TYPE, PRECISION> A ## B ## C ## D() CONST \
{ \
return SWIZZLED_TYPE<TMPL_TYPE, PRECISION>(this->A, this->B, this->C, this->D); \
}
#define GLM_SWIZZLE_GEN_VEC2_ENTRY_DEF(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, CONST, A, B) \
template <typename TMPL_TYPE> \
SWIZZLED_TYPE<TMPL_TYPE> CLASS_TYPE<TMPL_TYPE, PRECISION>::A ## B() CONST \
{ \
return SWIZZLED_TYPE<TMPL_TYPE, PRECISION>(this->A, this->B); \
}
#define GLM_SWIZZLE_GEN_VEC3_ENTRY_DEF(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, CONST, A, B, C) \
template <typename TMPL_TYPE> \
SWIZZLED_TYPE<TMPL_TYPE> CLASS_TYPE<TMPL_TYPE, PRECISION>::A ## B ## C() CONST \
{ \
return SWIZZLED_TYPE<TMPL_TYPE, PRECISION>(this->A, this->B, this->C); \
}
#define GLM_SWIZZLE_GEN_VEC4_ENTRY_DEF(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, CONST, A, B, C, D) \
template <typename TMPL_TYPE> \
SWIZZLED_TYPE<TMPL_TYPE> CLASS_TYPE<TMPL_TYPE, PRECISION>::A ## B ## C ## D() CONST \
{ \
return SWIZZLED_TYPE<TMPL_TYPE, PRECISION>(this->A, this->B, this->C, this->D); \
}
#define GLM_MUTABLE
#define GLM_SWIZZLE_GEN_REF2_FROM_VEC2_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, A, B) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, A, B) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, B, A)
#define GLM_SWIZZLE_GEN_REF_FROM_VEC2(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE) \
GLM_SWIZZLE_GEN_REF2_FROM_VEC2_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, x, y) \
GLM_SWIZZLE_GEN_REF2_FROM_VEC2_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, r, g) \
GLM_SWIZZLE_GEN_REF2_FROM_VEC2_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, s, t)
//GLM_SWIZZLE_GEN_REF_FROM_VEC2(valType, detail::vec2, detail::ref2)
#define GLM_SWIZZLE_GEN_REF2_FROM_VEC3_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, A, B, C) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, A, B) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, A, C) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, B, A) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, B, C) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, C, A) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, C, B)
#define GLM_SWIZZLE_GEN_REF3_FROM_VEC3_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, A, B, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, A, B, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, A, C, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, B, A, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, B, C, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, C, A, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, C, B, A)
#define GLM_SWIZZLE_GEN_REF_FROM_VEC3_COMP(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE, A, B, C) \
GLM_SWIZZLE_GEN_REF3_FROM_VEC3_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC3_TYPE, A, B, C) \
GLM_SWIZZLE_GEN_REF2_FROM_VEC3_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, A, B, C)
#define GLM_SWIZZLE_GEN_REF_FROM_VEC3(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE) \
GLM_SWIZZLE_GEN_REF_FROM_VEC3_COMP(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE, x, y, z) \
GLM_SWIZZLE_GEN_REF_FROM_VEC3_COMP(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE, r, g, b) \
GLM_SWIZZLE_GEN_REF_FROM_VEC3_COMP(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE, s, t, p)
//GLM_SWIZZLE_GEN_REF_FROM_VEC3(valType, detail::vec3, detail::ref2, detail::ref3)
#define GLM_SWIZZLE_GEN_REF2_FROM_VEC4_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, A, B, C, D) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, A, B) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, A, C) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, A, D) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, B, A) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, B, C) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, B, D) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, C, A) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, C, B) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, C, D) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, D, A) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, D, B) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, GLM_MUTABLE, D, C)
#define GLM_SWIZZLE_GEN_REF3_FROM_VEC4_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, A, B, C, D) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , A, B, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , A, B, D) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , A, C, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , A, C, D) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , A, D, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , A, D, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , B, A, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , B, A, D) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , B, C, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , B, C, D) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , B, D, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , B, D, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , C, A, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , C, A, D) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , C, B, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , C, B, D) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , C, D, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , C, D, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , D, A, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , D, A, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , D, B, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , D, B, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , D, C, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , D, C, B)
#define GLM_SWIZZLE_GEN_REF4_FROM_VEC4_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, A, B, C, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , A, C, B, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , A, C, D, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , A, D, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , A, D, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , A, B, D, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , A, B, C, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , B, C, A, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , B, C, D, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , B, D, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , B, D, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , B, A, D, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , B, A, C, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , C, B, A, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , C, B, D, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , C, D, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , C, D, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , C, A, D, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , C, A, B, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , D, C, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , D, C, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , D, A, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , D, A, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , D, B, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, , D, B, C, A)
#define GLM_SWIZZLE_GEN_REF_FROM_VEC4_COMP(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE, SWIZZLED_VEC4_TYPE, A, B, C, D) \
GLM_SWIZZLE_GEN_REF2_FROM_VEC4_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, A, B, C, D) \
GLM_SWIZZLE_GEN_REF3_FROM_VEC4_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC3_TYPE, A, B, C, D) \
GLM_SWIZZLE_GEN_REF4_FROM_VEC4_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC4_TYPE, A, B, C, D)
#define GLM_SWIZZLE_GEN_REF_FROM_VEC4(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE, SWIZZLED_VEC4_TYPE) \
GLM_SWIZZLE_GEN_REF_FROM_VEC4_COMP(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE, SWIZZLED_VEC4_TYPE, x, y, z, w) \
GLM_SWIZZLE_GEN_REF_FROM_VEC4_COMP(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE, SWIZZLED_VEC4_TYPE, r, g, b, a) \
GLM_SWIZZLE_GEN_REF_FROM_VEC4_COMP(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE, SWIZZLED_VEC4_TYPE, s, t, p, q)
//GLM_SWIZZLE_GEN_REF_FROM_VEC4(valType, detail::vec4, detail::ref2, detail::ref3, detail::ref4)
#define GLM_SWIZZLE_GEN_VEC2_FROM_VEC2_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, A, B) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B)
#define GLM_SWIZZLE_GEN_VEC3_FROM_VEC2_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, A, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, B)
#define GLM_SWIZZLE_GEN_VEC4_FROM_VEC2_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, B, B)
#define GLM_SWIZZLE_GEN_VEC_FROM_VEC2_COMP(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE, SWIZZLED_VEC4_TYPE, A, B) \
GLM_SWIZZLE_GEN_VEC2_FROM_VEC2_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, A, B) \
GLM_SWIZZLE_GEN_VEC3_FROM_VEC2_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC3_TYPE, A, B) \
GLM_SWIZZLE_GEN_VEC4_FROM_VEC2_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC4_TYPE, A, B)
#define GLM_SWIZZLE_GEN_VEC_FROM_VEC2(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE, SWIZZLED_VEC4_TYPE) \
GLM_SWIZZLE_GEN_VEC_FROM_VEC2_COMP(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE, SWIZZLED_VEC4_TYPE, x, y) \
GLM_SWIZZLE_GEN_VEC_FROM_VEC2_COMP(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE, SWIZZLED_VEC4_TYPE, r, g) \
GLM_SWIZZLE_GEN_VEC_FROM_VEC2_COMP(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE, SWIZZLED_VEC4_TYPE, s, t)
//GLM_SWIZZLE_GEN_VEC_FROM_VEC2(valType, detail::vec2, detail::vec2, detail::vec3, detail::vec4)
#define GLM_SWIZZLE_GEN_VEC2_FROM_VEC3_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, A, B, C) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C)
#define GLM_SWIZZLE_GEN_VEC3_FROM_VEC3_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, A, B, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, C)
#define GLM_SWIZZLE_GEN_VEC4_FROM_VEC3_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, A, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, C, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, C, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, C, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, C, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, C, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, C, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, C, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, C, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, C, C)
#define GLM_SWIZZLE_GEN_VEC_FROM_VEC3_COMP(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE, SWIZZLED_VEC4_TYPE, A, B, C) \
GLM_SWIZZLE_GEN_VEC2_FROM_VEC3_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, A, B, C) \
GLM_SWIZZLE_GEN_VEC3_FROM_VEC3_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC3_TYPE, A, B, C) \
GLM_SWIZZLE_GEN_VEC4_FROM_VEC3_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC4_TYPE, A, B, C)
#define GLM_SWIZZLE_GEN_VEC_FROM_VEC3(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE, SWIZZLED_VEC4_TYPE) \
GLM_SWIZZLE_GEN_VEC_FROM_VEC3_COMP(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE, SWIZZLED_VEC4_TYPE, x, y, z) \
GLM_SWIZZLE_GEN_VEC_FROM_VEC3_COMP(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE, SWIZZLED_VEC4_TYPE, r, g, b) \
GLM_SWIZZLE_GEN_VEC_FROM_VEC3_COMP(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE, SWIZZLED_VEC4_TYPE, s, t, p)
//GLM_SWIZZLE_GEN_VEC_FROM_VEC3(valType, detail::vec3, detail::vec2, detail::vec3, detail::vec4)
#define GLM_SWIZZLE_GEN_VEC2_FROM_VEC4_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, A, B, C, D) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, D) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, D) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, D) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, A) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, B) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, C) \
GLM_SWIZZLE_GEN_VEC2_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, D)
#define GLM_SWIZZLE_GEN_VEC3_FROM_VEC4_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, A, B, C, D) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, D) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, D) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, D) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, D, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, D, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, D, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, D, D) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, D) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, D) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, D) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, D, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, D, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, D, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, D, D) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, D) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, D) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, D) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, D, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, D, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, D, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, D, D) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, A, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, A, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, A, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, A, D) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, B, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, B, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, B, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, B, D) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, C, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, C, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, C, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, C, D) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, D, A) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, D, B) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, D, C) \
GLM_SWIZZLE_GEN_VEC3_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, D, D)
#define GLM_SWIZZLE_GEN_VEC4_FROM_VEC4_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, A, B, C, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, A, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, B, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, C, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, C, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, D, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, D, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, D, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, A, D, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, A, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, B, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, C, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, C, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, D, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, D, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, D, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, B, D, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, A, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, B, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, C, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, C, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, D, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, D, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, D, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, C, D, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, D, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, D, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, D, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, D, A, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, D, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, D, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, D, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, D, B, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, D, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, D, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, D, C, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, D, C, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, D, D, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, D, D, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, D, D, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, A, D, D, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, A, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, B, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, C, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, C, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, D, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, D, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, D, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, A, D, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, A, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, B, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, C, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, C, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, D, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, D, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, D, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, B, D, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, A, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, B, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, C, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, C, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, D, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, D, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, D, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, C, D, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, D, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, D, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, D, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, D, A, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, D, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, D, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, D, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, D, B, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, D, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, D, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, D, C, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, D, C, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, D, D, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, D, D, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, D, D, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, B, D, D, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, A, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, B, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, C, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, C, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, D, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, D, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, D, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, A, D, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, A, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, B, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, C, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, C, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, D, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, D, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, D, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, B, D, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, A, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, B, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, C, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, C, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, D, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, D, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, D, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, C, D, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, D, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, D, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, D, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, D, A, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, D, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, D, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, D, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, D, B, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, D, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, D, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, D, C, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, D, C, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, D, D, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, D, D, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, D, D, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, C, D, D, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, A, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, A, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, A, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, A, A, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, A, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, A, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, A, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, A, B, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, A, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, A, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, A, C, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, A, C, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, A, D, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, A, D, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, A, D, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, A, D, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, B, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, B, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, B, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, B, A, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, B, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, B, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, B, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, B, B, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, B, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, B, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, B, C, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, B, C, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, B, D, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, B, D, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, B, D, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, B, D, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, C, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, C, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, C, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, C, A, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, C, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, C, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, C, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, C, B, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, C, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, C, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, C, C, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, C, C, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, C, D, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, C, D, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, C, D, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, C, D, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, D, A, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, D, A, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, D, A, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, D, A, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, D, B, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, D, B, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, D, B, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, D, B, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, D, C, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, D, C, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, D, C, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, D, C, D) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, D, D, A) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, D, D, B) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, D, D, C) \
GLM_SWIZZLE_GEN_VEC4_ENTRY(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_TYPE, const, D, D, D, D)
#define GLM_SWIZZLE_GEN_VEC_FROM_VEC4_COMP(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE, SWIZZLED_VEC4_TYPE, A, B, C, D) \
GLM_SWIZZLE_GEN_VEC2_FROM_VEC4_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, A, B, C, D) \
GLM_SWIZZLE_GEN_VEC3_FROM_VEC4_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC3_TYPE, A, B, C, D) \
GLM_SWIZZLE_GEN_VEC4_FROM_VEC4_SWIZZLE(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC4_TYPE, A, B, C, D)
#define GLM_SWIZZLE_GEN_VEC_FROM_VEC4(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE, SWIZZLED_VEC4_TYPE) \
GLM_SWIZZLE_GEN_VEC_FROM_VEC4_COMP(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE, SWIZZLED_VEC4_TYPE, x, y, z, w) \
GLM_SWIZZLE_GEN_VEC_FROM_VEC4_COMP(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE, SWIZZLED_VEC4_TYPE, r, g, b, a) \
GLM_SWIZZLE_GEN_VEC_FROM_VEC4_COMP(TMPL_TYPE, PRECISION, CLASS_TYPE, SWIZZLED_VEC2_TYPE, SWIZZLED_VEC3_TYPE, SWIZZLED_VEC4_TYPE, s, t, p, q)
//GLM_SWIZZLE_GEN_VEC_FROM_VEC4(valType, detail::vec4, detail::vec2, detail::vec3, detail::vec4)

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