Compare commits

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Author SHA1 Message Date
matlabbe 8ec754deca Merge branch 'master' of github.com:introlab/rtabmap into jazzy-devel 2025-07-12 10:39:09 -07:00
matlabbe fa6deba7df bump 0.22.1 2025-07-12 10:11:55 -07:00
matlabbe d34962f908 ImageView: Depth color map in base frame (#1553)
* ImageView: Depth colormap in base frame option. CloudViewer: added min/max range options for XYZ axes coloring.

* CloudViewer: saving rendering options of the 3D view, re-apply current color index when moving through nodes.

* reset color inverted when reset
2025-07-12 10:07:47 -07:00
matlabbe e5655b0b96 Fixed #1549 2025-07-06 23:08:47 +00:00
matlabbe 14d270241c Added Rolling dev container 2025-07-06 15:51:49 -07:00
matlabbe 0579d4f39c ImageView: fixed right grayscale image shown with depth colormap 2025-07-04 20:43:06 -07:00
matlabbe 2e71831324 Added libceres-dev dep in CI (#1547)
* Added libceres-dev dep in CI

* trying to fix 22.04 apt install

* added g2o and gtam deps

* removed libgtsam-dev because missing libCppUnitLite.a

* fixing support of libg2o-dev on ubuntu 24.04

* update cmake
2025-06-30 21:32:27 -07:00
HO4X 2fdd2337c7 TASK: Remove typo in ceres optimizer branch (#1544) 2025-06-30 10:39:53 -07:00
matlabbe 963ba42a1a OdometryThread: Updated logic on how to sync imu and sensor data (to make sure odom has always all IMUs it needs prior to process images) 2025-06-29 17:00:12 -07:00
matlabbe c9292bea5b GUI: Fixed provided odometry ignored with CameraImages, CameraRGBDImages and CameraStereoImage types 2025-06-28 20:23:34 -07:00
matlabbe 30962119cb GraphViewer: fixed duplicated links added to view 2025-06-26 13:30:51 -07:00
matlabbe ee98be9ef7 Updated base android image (bionic->noble), updated android dev container 2025-06-20 22:38:05 +00:00
matlabbe 0536ddf0c9 Fixed loadOptimizedMeshQuery() when the TextureMesh has more than 1 texture. (#1538) 2025-06-17 20:16:53 -07:00
matlabbe 6e439d2342 GraphView: fixed nodes not added when updating the graph when "Hide Nodes" option is enabled. 2025-06-16 09:45:19 -07:00
matlabbe 4a37855526 CI: update AliceVision patch (#1536) 2025-06-15 17:00:09 -07:00
Petar Velev db59344007 Fixed a typo with SuperPoint (#1535) 2025-06-15 12:39:52 -07:00
matlabbe 105ac3bf9e focal: fixing docker-deps 2025-06-11 15:52:05 -07:00
matlabbe 471ed6ade2 GraphViewer: added setNodeInfo() function 2025-06-11 13:55:45 -07:00
matlabbe 366a4a0174 merged master->jazzy 2025-06-08 15:52:25 -07:00
matlabbe dbfc4b1dad bump ros package version 2025-06-08 15:50:36 -07:00
matlabbe 1f44d23a08 CI: moving back opengv to deps image 2025-06-08 14:43:39 -07:00
matlabbe 332dde6d74 Fixed icp_odometry freezing 2025-06-07 16:47:40 -07:00
matlabbe 80d463ed20 docker CI: removed armv7 focal build 2025-06-07 10:49:30 -07:00
matlabbe e19b0c3dc4 docker: use -j2 instead of -j4 for jammy-deps (CI freezing) 2025-06-04 11:43:07 -07:00
matlabbe 6d73ba46e2 docker: fixed noble-deps noble-kilted-deps 2025-06-03 20:45:56 -07:00
matlabbe a6b71f4716 docker: remove some COPY to avoid invalidating cache 2025-06-03 20:37:08 -07:00
matlabbe 47e49207ad CI: fixed docker focal-deps missing ros key 2025-06-01 19:11:30 -07:00
matlabbe 2a5af18bf2 CI: more updates 2025-06-01 18:48:59 -07:00
matlabbe 41684644a1 CI: re-enabled docker-deps 2025-06-01 18:38:41 -07:00
matlabbe 7b69bf6696 CI: added kilted, re-enabled deps, removed all nproc variables 2025-06-01 18:36:36 -07:00
matlabbe 6d4e8a4173 New feature: Depth confidence (#1520)
* New feature: Depth confidence

* iOS app updated to save depth confidence, added util2d::depthBleedingFiltering function

* Updated tools to show/extract depth confidence

* Android: moved smoothing in post-processing, fixed confidence registration, added depth bleeding error option.

* Fixed warning

* removed debug log

* Added new feature types, fixed rendering when exporting texture >4096 (#1469), added depth bleeding filter option to iOS

* fixed some warnings, android: added bleeding error option

* CI: try updating ros2 key

* added sudo

* antoher test

* bump ios app version
2025-06-01 14:14:29 -07:00
matlabbe 90d195237f CI: added rolling for cmake-ros workflow 2025-05-26 16:22:25 -07:00
matlabbe 9394c0a170 Export Bundler: Fixed custom matching parameters not used when ba iteration >=1 2025-05-26 13:27:55 -07:00
matlabbe 6781930100 fixed typo 2025-05-26 09:54:53 -07:00
matlabbe 9e862cec68 iOS: updated xcode project 2025-05-26 09:01:30 -07:00
matlabbe eb2a8f132c iOS: updated g2o patch to find correctly cholmod 2025-05-26 08:53:04 -07:00
matlabbe 7a317b9f39 iOS added suitesparse dependency for g2o 2025-05-25 21:01:41 -07:00
matlabbe f5f51bc792 Fixed iOS build for XCode 16.3 (#1482 #1491) 2025-05-25 20:35:57 -07:00
Torjus Ivelandandmatlabbe 683a1dc554 Handle edge case when SuperPoint detects only 1 keypoint (#1509)
* Handle edge case when SuperPoint detects only 1 keypoint

* missing normalize

---------

Co-authored-by: matlabbe <matlabbe@gmail.com>
2025-05-24 15:38:44 -07:00
matlabbe 478e909742 Fix 6DoF graph angular check (#1511)
* Fix 6DoF graph angular check

* Updated getAngle to use better version
2025-05-24 13:25:26 -07:00
matlabbe a02621ef30 Export Bundler: added 0 iteration support (no optimization) 2025-05-18 13:57:26 -07:00
matlabbe 43d2e1bfde rtabmap-export: add --poses_landmark option 2025-05-18 12:40:41 -07:00
matlabbe 802b8f9870 Add/Refine/SBA: create Registration only once to avoid internal initialization for every link refined, added or rematched (e.g., SuperPoint or SuperGlue). 2025-05-17 16:34:31 -07:00
matlabbe f03139d4ff Update rtabmap_superpoint.py 2025-05-17 14:20:39 -07:00
matlabbe 96f8466fa7 Update rtabmap_superpoint.py 2025-05-17 14:16:13 -07:00
matlabbe 5b368fb2f1 Fixed DataRecorder UI asserting if data without images is received (in case of monocular or lidar-only recording). rtabmap-dataRecorder: added auto-close when end of stream is reached. rtabmap-reprocess: added ability to process images without odometry and to record localization poses with -p option in localizatiion mode. 2025-05-11 18:37:35 -07:00
matlabbe a3d4028faa Camera projection: Added max depth error option to colorize more points 2025-05-10 18:20:29 -07:00
Petr Hodinaandmatlabbe 6b5b1c9617 Fix ctor (#1496)
* CI: only build noetic in noetic-devel branch

* fix ctor and dtor warning for UThreadC

* revert CI changes

---------

Co-authored-by: matlabbe <matlabbe@gmail.com>
2025-05-03 11:24:55 -07:00
matlabbe 087a2cecd8 New parameter: RGBD/LocalizationSecondTryWithoutProximityLinks (#1499)
* Added parameter RGBD/LocalizationSecondTryWithoutProximityLinks

* Statistics: added new stat to know when proximity links are removed after a successful second loc try

* changed kLoopProximity_links_cleared for a count instead of bool

* Updating odomCachePoses with optimization for better visualization
2025-05-02 10:35:31 -07:00
matlabbe d2a430ce57 Export: updated usage of --cam_projection_decimation 2025-05-01 20:44:29 -07:00
matlabbe 26f036173d export: fixed texture_depth_error=-1 2025-04-29 21:50:11 -07:00
matlabbe 16e21697f8 reprocess: fixed -cam_tf option when -cam option is not used at the same time 2025-04-28 15:23:12 -07:00
matlabbe af11afdc9a bump 0.21.13 for last noetic release 2025-04-27 15:27:52 -07:00
Borong Yuan def99328ce fixed cv::remap() crach when the neural network did not detect any features (#1488) 2025-04-27 10:53:00 -07:00
matlabbe 8cbee58f07 CI: removing 20.04 2025-04-27 10:37:12 -07:00
matlabbe 1731f91908 CI: removed deprecated ubuntu 20.04 2025-04-27 10:28:33 -07:00
matlabbe d639fcb8e7 CloudViewer: Should use refreshView with VTK>8 2025-04-24 15:44:21 -07:00
matlabbe 2c3f1458e7 Windows: fixing OdometryInfo missing symbols 2025-04-16 15:57:20 -07:00
matlabbe 3d968da30f GraphViewer: deprecating updatePosterior(), replaced by more general function updateNodeColorByValue() 2025-04-16 13:41:17 -07:00
matlabbe ccb6ce67d5 reprocess: added -cam_tf and -cam_tf_lens_offset options 2025-04-16 13:39:54 -07:00
matlabbe b5dce57be8 Computing BA correspondences: added option to use input link's transform as guess for feature matching 2025-04-14 10:28:12 -07:00
matlabbe 43c398a0de Fixed #1478 2025-04-14 10:23:18 -07:00
matlabbe 3678372981 Fising global descriptor type in database (#1485) 2025-04-14 09:53:56 -07:00
matlabbe 1d6c70c1db Removed parameter Vis/ForwardEstOnly. Added odometry statistics (matches,inliers,inliersRatio) per camera. Added OdometryInfo::statistics() function for convenience. 2025-04-14 09:52:41 -07:00
matlabbe b750e94eaa Fixed #1483. 2025-04-13 15:58:21 -07:00
matlabbe 08f031e11c Fixed build with boost >=1.87 2025-04-12 13:39:10 -07:00
matlabbe c0dc4b43f3 GPS prior: using altitude for z instead of odom z. 2025-04-05 16:42:38 -07:00
matlabbe 2d79689675 Increased min cmake version to 3.14 everywhere 2025-04-02 09:39:51 -07:00
matlabbe a7a2d66556 reprocess CLI: added more odom options 2025-04-01 18:02:47 -07:00
Borong Yuan 36f7241f7d Fix rgb camera size setting and capture delay (#1476)
* remove an extra line

* fix capture delay
2025-03-30 18:03:51 -07:00
matlabbe 21fbf635b3 DBViewer: match highligthed node color with scan color 2025-03-30 14:12:22 -07:00
matlabbe 81ffbca1d6 ExportClouds: added support for LAZ format from PDAL 2025-03-29 19:08:32 -07:00
matlabbe 83a2754714 GraphView: added ctrl-shift click mouse move to adjust scale 2025-03-24 16:25:12 -07:00
matlabbe 6a547f4403 Update README.md 2025-03-23 10:07:10 -07:00
matlabbe 68e3125358 Fixed graph deformation check without landmark's orientation optimized. Added parameter Marker/VarianceOrientationIgnored to be able to tune correctly GTSAM's bearing/range factor variance. 2025-03-22 20:43:27 -07:00
matlabbe 5f946cc26b DBViewer: dont clear optimized map if there are no link changes 2025-03-17 17:50:11 -07:00
Borong Yuan 135110c9b6 Enable on-device feature detectors for color camera (#1470) 2025-03-17 10:33:10 -07:00
matlabbe 28dbf1c98a iOS feb 2025 various updates (#1451)
* Using shadows on all texts and icons to see them better when background is white. Buffering database previews to show faster the Library. Updated how RAM usage is computed and now show max memory. Added warnings when RAM usage is low.

* Added measuring tool

* fixed map not shown when closing visualization

* Added measure text size setting, changed look and feel of point to point

* Fixed measuring point not showing

* Added fix for #1401

* Addressing #1407

* Export: Added colored OBJ options

* fixed index_t not existing on focal

* Fixed Settings not applied after restoring to all default settings witohut restarting the app (Marker detection not working issue #1455 )

* Marker detection: Fixing wrong depth used when rgb and depth image sizes cannot be divided exactly one from the the other #1455

* Added Marker Max Range option (default 1m)

* Added OBJ texture policy option (keep color on textureless polygons)

* Added texture/color blending option directly in the app. Added LAZ export option.

* Hiding measuring button if not mesh, dont zip if exporting to laz, updating Export XXX button based on the current context, fixed always blending texture/color on not visualization mode

* updated default marker max range to 2m

* bump ios app version

* fixing pcl 1.8.1 build

* fixed android build
2025-03-15 10:58:03 -07:00
matlabbe f329ebd42b Windows: Fixed build with vcpkg's g2o version 2025-03-13 19:58:13 -07:00
matlabbe 1ae523884f Update LICENSE 2025-03-09 19:01:15 -07:00
matlabbe 6eebca83b2 Improved depth estimation of mono features (#1460)
* Improved depth estimation of mono features

* typo

* Added OdomF2M/InitDepthFactor parameter
2025-03-08 20:30:26 -08:00
matlabbe 72a20d849d removed debugging code from #1463 2025-03-08 17:19:12 -08:00
matlabbe a1b602dbe0 Adding support for compressed input data and right color image. (#1463) 2025-03-08 16:40:04 -08:00
Borong Yuan d88353dc1b Further improvements to DepthAI integration (#1458)
* Reorganize DepthAI params

* Advanced Tuning of DepthAI’s SGBM Pipeline

* Update IMU Local Transform for OAK-D LR, OAK-D SR, and PoE Devices

* Reorganiz the usage of DepthAI. Get params before creating the pipeline, and automatically determine the resolution of different models.

* Identify the IMU type to specifically handle BMI270 and BNO085/086
2025-03-08 11:30:11 -08:00
matlabbe 4eea83d1af Update README.md 2025-03-06 11:00:33 -08:00
matlabbe 2c7aa5a78f Setting WITH_GRIDMAP=OFF by default till official grid_map_core can be correctly integrated in libraries downstream. 2025-03-01 19:46:03 -08:00
matlabbe a85e732f01 bump to 0.21.11 for api change 2025-03-01 15:53:02 -08:00
matlabbe 258095e0f3 DBReader: added fine-grained camera selection (#1457) 2025-02-26 16:06:13 -08:00
matlabbe 35c3ca20ad 2d ray tracing: Fixed assert when viewpoint is farther than cellSize*10 from the pose. 2025-02-25 16:09:32 -08:00
matlabbe ec4e076a08 CI: moved opengv back in deps dockerfile 2025-02-24 10:29:45 -08:00
matlabbe 7a4f8d9783 reverting qemu version #1454 2025-02-23 13:34:36 -08:00
matlabbe e65c1c2f85 jammy-deps: explicitly uninstall grid-map-core till new humble version is released 2025-02-23 10:49:25 -08:00
matlabbe 7adaa249ff Disabling ****-deps docker from CI (#1454) 2025-02-23 10:07:05 -08:00
matlabbe 079600bf3a Fixing CI #1454 2025-02-22 19:48:33 -08:00
matlabbe 921381b3bd Updated CI action versions 2025-02-21 23:01:24 -08:00
matlabbe c0e83ce9e9 Adding options to bound OdometryF2M keyframes (#1448)
* Added OdomF2M/BundleAdjustmentMinMotion and OdomF2M/BundleAdjustmentMaxKeyFramesPerFeature parameters

* Added new odom stats localBundleMaxKeyFramesForInlier

* Adjusted how localBundleMaxKeyFramesForInlier is computed when OdomF2M/BundleAdjustmentMaxFrames is used.

* optimization: Dont compute average pixel distance if parameter is not used
2025-02-21 16:33:29 -08:00
matlabbe d77a3e3e7c Update package.xml
disabled grid_map_core by default
2025-02-20 22:19:42 -08:00
matlabbe 1cf051d63b Preferences: fixed Grid/RayTracing not reachable when 3D is unchecked. 2025-02-19 18:39:36 -08:00
zeitlerv 19a8292ad0 RAM: add entilement com.apple.developer.kernel.increased-memory-limit to increase the available ram for the app. ( Effect on iphone 12 = 3GB ->4GB) (#1446) 2025-02-15 15:39:05 -08:00
matlabbe d4e55c3a1d Merge branch 'master' of github.com:introlab/rtabmap into jazzy-devel 2025-02-12 19:47:19 -08:00
matlabbe 15be406509 bump 0.21.10 2025-02-12 19:18:54 -08:00
laurence-diack-pk 618e839999 fixed ORB_SLAM preproc breaking gui conditionals (#1445) 2025-02-03 20:18:17 -08:00
matlabbe ddaf2f5271 DBViewer: refactored how poses are aligned with GPS to be able to make KMZ files (OBJ/DAE origin matching with first KML pose) 2025-02-02 15:09:59 -08:00
matlabbe fcfadfe489 sql: use single quoted strings #1436 2025-02-01 14:19:41 -08:00
matlabbe 6aa188d2af g2o: fixed iterative optimization (when epsilon>0) not converging as fast as like batch optimization (and not converging at all in some cases). 2025-01-27 14:20:41 -08:00
Borong Yuan 3ab9a69fbb fix build with ceres<2.1 (#1437) 2025-01-19 13:58:07 -08:00
matlabbe 7baf435600 Fixed #1439 2025-01-19 13:39:17 -08:00
matlabbe 853f603898 OptimizerGTSAM: keep iterating even if error is very large (aarch64 issue), but only when Optimizer/Epsilon is 0. 2025-01-17 10:31:06 -08:00
matlabbe f8b1d50656 Fixed #1434 (gtsam very huge error estimated on aarch64), also decreased log level of voxel filtering to debug. 2025-01-09 16:57:51 -08:00
matlabbe 2f431ce385 Export: added gps/gt export options 2024-12-22 11:33:41 -08:00
Borong Yuanandmatlabbe 89849ae245 add support for RVL depth image compression (#1409)
* add rvl_codec

* add support for RVL deep image compression

* DBViewer: edit depth re-using same compression format than the one in database.

* Fixing windows ci

* 💄

* missing dll export (windows)

* typo

---------

Co-authored-by: matlabbe <matlabbe@gmail.com>
2024-12-15 18:35:05 -08:00
matlabbe 02e30ffc69 Fixed #1413 2024-12-15 17:51:15 -08:00
matlabbe 97c56361f8 Export CLI tool memory optimization (#1391)
* Stashing changes so far

* Tested and working

* removed unused options

* Added density_radius and density_angle options

* improved description

* backward compatibility fixes, matching texture exported file names with base name

* Setting global full opt by default, updated preferences defaulting to g2o or gtsam if one or the other is unavailable
2024-12-15 13:08:15 -08:00
matlabbe 340248fed0 Refactored gravity links visualization (fixed rotation in some cases). 2024-12-14 16:33:29 -08:00
Johannes Schönberger 626bf64983 Support Ceres 2.1+ Manifolds in backwards-compatible manner (#1405)
* Support Ceres 2.1+ Manifolds in backwards-compatible manner

* d

* d
2024-12-14 10:27:21 -08:00
matlabbe 38cacb7978 Added floor filtering options for features extraction (#1408)
* Added floor filtering options for features extraction

* cleanup
2024-12-10 12:36:21 -08:00
matlabbe a613998652 Updated cmake target for latest grid_map_core version 2024-12-08 09:58:37 -08:00
matlabbe d33e98a540 Preferences: making local grid ROI editable 2024-12-06 18:31:27 -08:00
matlabbe 0445ae7c33 mergd master, disabled grid_map_core for jazzy 2024-11-30 19:51:41 -08:00
matlabbe ce1e91b9f1 Just build jazzy in jazzy-devel branch 2024-11-30 18:28:31 -08:00
matlabbe a19163fc75 CI: use contains 2024-11-30 18:11:51 -08:00
matlabbe eba90c1869 Merge branch 'master' of github.com:introlab/rtabmap into jazzy-devel 2024-11-30 18:07:10 -08:00
matlabbe 4af0e7dbea grid_core_map now available on jazzy 2024-11-30 17:38:43 -08:00
matlabbe 344fe4e4cf Merge branch 'master' of github.com:introlab/rtabmap into jazzy-devel 2024-11-30 17:31:59 -08:00
matlabbe 5e79fc559b merged master->jazzy 2024-07-22 20:59:09 -07:00
matlabbe 04fdc0d9e2 Merge branch 'jazzy-devel' of github.com:introlab/rtabmap into jazzy-devel 2024-06-30 19:50:45 -07:00
matlabbe f2df35be01 Disabling gtsam ros dep for now (internal version error) for ROS2 Jazzy 2024-06-02 14:06:16 -07:00
matlabbe da9ff08198 Removed grid_map_core missing dep on jazzy 2024-05-27 10:49:18 -07:00
188 changed files with 14266 additions and 5909 deletions
+24
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@@ -0,0 +1,24 @@
FROM introlab3it/rtabmap:android-noble-deps
# remove ubuntu user
RUN touch /var/mail/ubuntu && chown ubuntu /var/mail/ubuntu && userdel -r ubuntu
RUN apt-get update && apt-get install -y sudo && \
apt-get clean && rm -rf /var/lib/apt/lists/
ARG USERNAME=vscode
ARG USER_UID=1000
ARG USER_GID=1000
RUN set -ex && \
groupadd --gid ${USER_GID} ${USERNAME} && \
useradd --uid ${USER_UID} --gid ${USER_GID} -m ${USERNAME} && \
usermod -a -G sudo ${USERNAME} && \
echo "${USERNAME} ALL=(ALL) NOPASSWD:ALL" > /etc/sudoers.d/${USERNAME} && \
chmod 0440 /etc/sudoers.d/${USERNAME}
RUN chmod +x /opt/android-sdk/tools/android
RUN echo "source /usr/share/bash-completion/completions/git" >> /home/${USERNAME}/.bashrc
+13 -1
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@@ -1,9 +1,21 @@
{
"image": "introlab3it/rtabmap:android-deps",
"build": {
"dockerfile": "Dockerfile"
},
"customizations": {
"vscode": {
"extensions": ["ms-vscode.cpptools-themes", "ms-vscode.cmake-tools", "vscjava.vscode-java-pack"]
}
},
"workspaceMount": "source=${localWorkspaceFolder},target=/home/vscode/rtabmap,type=bind",
"workspaceFolder": "/home/vscode/rtabmap",
"postStartCommand": "./.devcontainer/android/init.sh",
"settings": {
"terminal.integrated.defaultProfile.linux": "bash"
},
"remoteUser": "vscode",
"runArgs": ["--privileged", "--network=host"]
}
+17
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@@ -0,0 +1,17 @@
#!/bin/bash
set -e
echo "Running post-start initialization..."
# copy required jars
cp /opt/android/lib/*.jar app/android/libs/.
mkdir -p build_android/arm64-v8a
# resource tool
cd build_android
cmake -DANDROID_PREBUILD=ON ..
make
echo -e "\nTo build the APK, do (adjust API number):"
echo -e '\nexport ANDROID_API=30 && cd build_android/arm64-v8a && cmake -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake -DANDROID_ABI=arm64-v8a -DANDROID_NDK=$ANDROID_NDK -DANDROID_NATIVE_API_LEVEL=$ANDROID_API -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/opt/android/arm64-v8a -DCMAKE_FIND_ROOT_PATH="/opt/android/arm64-v8a/bin;/opt/android/arm64-v8a;/opt/android/arm64-v8a/share" -DBUILD_EXAMPLES=OFF -DBUILD_TOOLS=OFF -DOpenCV_DIR=/opt/android/arm64-v8a/sdk/native/jni ../..\nmake -j6\n'
+77
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@@ -0,0 +1,77 @@
FROM ubuntu:24.04
ENV DEBIAN_FRONTEND=noninteractive
# Install ROS2
RUN apt update && \
apt install software-properties-common -y && \
add-apt-repository universe && \
apt update && \
apt install curl -y && \
curl -sSL https://raw.githubusercontent.com/ros/rosdistro/master/ros.key -o /usr/share/keyrings/ros-archive-keyring.gpg && \
echo "deb [arch=$(dpkg --print-architecture) signed-by=/usr/share/keyrings/ros-archive-keyring.gpg] http://packages.ros.org/ros2/ubuntu $(. /etc/os-release && echo $UBUNTU_CODENAME) main" | tee /etc/apt/sources.list.d/ros2.list > /dev/null && \
apt-get clean && rm -rf /var/lib/apt/lists/
# Install build dependencies
RUN apt-get update && \
apt upgrade -y && \
apt-get install -y \
git \
wget \
libtbb-dev \
libproj-dev \
libpcl-dev \
liboctomap-dev \
libfreenect-dev \
ros-rolling-ros-base \
ros-dev-tools \
ros-rolling-cv-bridge \
ros-rolling-image-geometry \
ros-rolling-laser-geometry \
ros-rolling-pcl-conversions \
ros-rolling-rviz-common \
ros-rolling-rviz-rendering \
ros-rolling-rviz-default-plugins \
ros-rolling-pcl-ros \
ros-rolling-imu-filter-madgwick \
ros-rolling-image-transport \
ros-rolling-octomap-msgs \
ros-rolling-libg2o \
ros-rolling-gtsam \
ros-rolling-libpointmatcher \
ros-rolling-qt-gui-cpp \
ros-rolling-diagnostic-updater && \
apt-get clean && rm -rf /var/lib/apt/lists/
WORKDIR /root/
RUN rm /bin/sh && ln -s /bin/bash /bin/sh
RUN echo -e '#!/bin/bash\nset -e\n\n# setup ros2 environment\nsource "/opt/ros/rolling/setup.bash" --\nexec "$@"' > /ros_entrypoint.sh
RUN chmod +x /ros_entrypoint.sh
ENTRYPOINT [ "/ros_entrypoint.sh" ]
# ros2 seems not sourcing by default its multi-arch folders
ENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/ros/rolling/lib/x86_64-linux-gnu
# For devcontainer
# remove ubuntu user
RUN touch /var/mail/ubuntu && chown ubuntu /var/mail/ubuntu && userdel -r ubuntu
RUN apt-get update && apt-get install -y sudo && \
apt-get clean && rm -rf /var/lib/apt/lists/
ARG USERNAME=vscode
ARG USER_UID=1000
ARG USER_GID=1000
RUN set -ex && \
groupadd --gid ${USER_GID} ${USERNAME} && \
useradd --uid ${USER_UID} --gid ${USER_GID} -m ${USERNAME} && \
usermod -a -G sudo ${USERNAME} && \
echo "${USERNAME} ALL=(ALL) NOPASSWD:ALL" > /etc/sudoers.d/${USERNAME} && \
chmod 0440 /etc/sudoers.d/${USERNAME}
RUN echo "source /usr/share/bash-completion/completions/git" >> /home/${USERNAME}/.bashrc
+17
View File
@@ -0,0 +1,17 @@
{
"build": {
"dockerfile": "Dockerfile"
},
"customizations": {
"vscode": {
"extensions": ["ms-vscode.cpptools-themes", "ms-vscode.cmake-tools"]
}
},
"workspaceMount": "source=${localWorkspaceFolder},target=/home/vscode/rtabmap,type=bind",
"workspaceFolder": "/home/vscode/rtabmap",
"settings": {
"terminal.integrated.defaultProfile.linux": "bash"
},
"remoteUser": "vscode",
"runArgs": ["--privileged", "--network=host"]
}
+15 -6
View File
@@ -3,7 +3,7 @@ name: CMake-ROS
on:
push:
branches:
- master
- jazzy-devel
pull_request:
branches:
- '**'
@@ -23,14 +23,23 @@ jobs:
strategy:
fail-fast: false
matrix:
ros_distribution: [ noetic, humble ]
ros_distribution: [jazzy]
include:
- ros_distribution: 'noetic'
os: ubuntu-20.04
- ros_distribution: 'humble'
os: ubuntu-22.04
- ros_distribution: 'jazzy'
os: ubuntu-24.04
steps:
- name: Setup ROS2
# https://docs.ros.org/en/humble/Installation/Ubuntu-Install-Debs.html
run: |
sudo apt install software-properties-common
sudo add-apt-repository universe
sudo apt update && sudo apt install curl -y
export ROS_APT_SOURCE_VERSION=$(curl -s https://api.github.com/repos/ros-infrastructure/ros-apt-source/releases/latest | grep -F "tag_name" | awk -F\" '{print $4}')
curl -L -o /tmp/ros2-apt-source.deb "https://github.com/ros-infrastructure/ros-apt-source/releases/download/${ROS_APT_SOURCE_VERSION}/ros2-apt-source_${ROS_APT_SOURCE_VERSION}.$(. /etc/os-release && echo $VERSION_CODENAME)_all.deb"
sudo apt install /tmp/ros2-apt-source.deb
sudo apt update
- uses: ros-tooling/setup-ros@v0.7
with:
required-ros-distributions: ${{ matrix.ros_distribution }}
+10 -3
View File
@@ -18,20 +18,27 @@ jobs:
strategy:
fail-fast: false
matrix:
os: [ubuntu-24.04, ubuntu-22.04, ubuntu-20.04]
os: [ubuntu-24.04, ubuntu-22.04]
include:
- os: ubuntu-22.04
extra_deps: "libunwind-dev libceres-dev"
extra_cmake_def: ""
- os: ubuntu-24.04
extra_deps: "libg2o-dev libceres-dev"
extra_cmake_def: "-DWITH_CERES=ON"
steps:
- name: Install dependencies
run: |
DEBIAN_FRONTEND=noninteractive
sudo apt-get update
sudo apt-get -y install libopencv-dev libpcl-dev git cmake software-properties-common libyaml-cpp-dev
sudo apt-get -y install libopencv-dev libpcl-dev git cmake software-properties-common libyaml-cpp-dev ${{ matrix.extra_deps }}
- uses: actions/checkout@v4
- name: Configure CMake
run: |
cmake -B ${{github.workspace}}/build -DCMAKE_BUILD_TYPE=${{env.BUILD_TYPE}}
cmake -B ${{github.workspace}}/build -DCMAKE_BUILD_TYPE=${{env.BUILD_TYPE}} ${{ matrix.extra_cmake_def }}
- name: Build
run: cmake --build ${{github.workspace}}/build --config ${{env.BUILD_TYPE}}
+40 -30
View File
@@ -7,12 +7,22 @@ on:
jobs:
docker_deps:
# Disabling ###-deps step from CI because it is too flaky (seg faults, arm64 build timeout...)
# Only way I was able to build all images is to do it from a ubuntu 20.04 computer with:
# $ sudo add-apt-repository ppa:canonical-server/server-backports
# $ sudo apt-get update
# $ sudo apt-get upgrade qemu-user-static
# $ docker run --rm --privileged multiarch/qemu-user-static --reset -p yes -c yes
# More info: https://github.com/introlab/rtabmap/issues/1454
# if: false
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
docker_tag: [focal-deps, jammy-deps, jammy-iron-deps, noble-deps]
docker_tag: [focal-deps, jammy-deps, noble-deps, noble-kilted-deps]
include:
- docker_tag: focal-deps
docker_tags: |
@@ -20,7 +30,6 @@ jobs:
docker_platforms: |
linux/amd64
linux/arm64
linux/arm/v7
docker_path: 'focal/deps'
- docker_tag: jammy-deps
docker_tags: |
@@ -29,12 +38,6 @@ jobs:
linux/amd64
linux/arm64
docker_path: 'jammy/deps'
- docker_tag: jammy-iron-deps
docker_tags: |
introlab3it/rtabmap:jammy-iron-deps
docker_platforms: |
linux/amd64
docker_path: 'jammy-iron/deps'
- docker_tag: noble-deps
docker_tags: |
introlab3it/rtabmap:noble-deps
@@ -42,6 +45,13 @@ jobs:
linux/amd64
linux/arm64
docker_path: 'noble/deps'
- docker_tag: noble-kilted-deps
docker_tags: |
introlab3it/rtabmap:noble-kilted-deps
docker_platforms: |
linux/amd64
linux/arm64
docker_path: 'noble-kilted/deps'
steps:
-
@@ -49,21 +59,21 @@ jobs:
uses: actions/checkout@v2
-
name: Set up QEMU
uses: docker/setup-qemu-action@v1
uses: docker/setup-qemu-action@v3
with:
platforms: all
-
name: Set up Docker Buildx
uses: docker/setup-buildx-action@v1
uses: docker/setup-buildx-action@v3
-
name: Login to DockerHub
uses: docker/login-action@v1
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
-
name: Build and push
uses: docker/build-push-action@v2
uses: docker/build-push-action@v6
with:
context: .
push: true
@@ -80,7 +90,7 @@ jobs:
strategy:
fail-fast: false
matrix:
docker_tag: [bionic, focal, jammy, jammy-iron, noble, android23, android24, android26, android30]
docker_tag: [bionic, focal, jammy, noble, noble-kilted, android23, android24, android26, android30]
include:
- docker_tag: bionic
docker_tags: |
@@ -102,7 +112,6 @@ jobs:
docker_platforms: |
linux/amd64
linux/arm64
linux/arm/v7
docker_path: 'focal'
- docker_tag: jammy
docker_tags: |
@@ -114,14 +123,6 @@ jobs:
linux/amd64
linux/arm64
docker_path: 'jammy'
- docker_tag: jammy-iron
docker_tags: |
introlab3it/rtabmap:jammy-iron
docker_args: |
NOT_USED=0
docker_platforms: |
linux/amd64
docker_path: 'jammy-iron'
- docker_tag: noble
docker_tags: |
introlab3it/rtabmap:noble
@@ -132,6 +133,15 @@ jobs:
linux/amd64
linux/arm64
docker_path: 'noble'
- docker_tag: noble-kilted
docker_tags: |
introlab3it/rtabmap:noble-kilted
docker_args: |
NOT_USED=0
docker_platforms: |
linux/amd64
linux/arm64
docker_path: 'noble-kilted'
- docker_tag: android23
docker_tags: |
introlab3it/rtabmap:android23
@@ -140,7 +150,7 @@ jobs:
API_VERSION=23
docker_platforms: |
linux/amd64
docker_path: 'bionic/android/rtabmap_apiXX'
docker_path: 'noble/android/rtabmap_apiXX'
- docker_tag: android24
docker_tags: |
introlab3it/rtabmap:android24
@@ -148,7 +158,7 @@ jobs:
API_VERSION=24
docker_platforms: |
linux/amd64
docker_path: 'bionic/android/rtabmap_apiXX'
docker_path: 'noble/android/rtabmap_apiXX'
- docker_tag: android26
docker_tags: |
introlab3it/rtabmap:android26
@@ -156,7 +166,7 @@ jobs:
API_VERSION=26
docker_platforms: |
linux/amd64
docker_path: 'bionic/android/rtabmap_apiXX'
docker_path: 'noble/android/rtabmap_apiXX'
- docker_tag: android30
docker_tags: |
introlab3it/rtabmap:android30
@@ -164,7 +174,7 @@ jobs:
API_VERSION=30
docker_platforms: |
linux/amd64
docker_path: 'bionic/android/rtabmap_apiXX'
docker_path: 'noble/android/rtabmap_apiXX'
steps:
-
@@ -172,21 +182,21 @@ jobs:
uses: actions/checkout@v2
-
name: Set up QEMU
uses: docker/setup-qemu-action@v1
uses: docker/setup-qemu-action@v3
with:
platforms: all
-
name: Set up Docker Buildx
uses: docker/setup-buildx-action@v1
uses: docker/setup-buildx-action@v3
-
name: Login to DockerHub
uses: docker/login-action@v1
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
-
name: Build and push
uses: docker/build-push-action@v2
uses: docker/build-push-action@v6
with:
context: .
push: true
+26 -17
View File
@@ -19,8 +19,8 @@ SET(CMAKE_MODULE_PATH "${PROJECT_SOURCE_DIR}/cmake_modules")
# VERSION
#######################
SET(RTABMAP_MAJOR_VERSION 0)
SET(RTABMAP_MINOR_VERSION 21)
SET(RTABMAP_PATCH_VERSION 9)
SET(RTABMAP_MINOR_VERSION 22)
SET(RTABMAP_PATCH_VERSION 1)
SET(RTABMAP_VERSION
${RTABMAP_MAJOR_VERSION}.${RTABMAP_MINOR_VERSION}.${RTABMAP_PATCH_VERSION})
@@ -208,7 +208,7 @@ option(WITH_MYNTEYE "Include mynteye-s support" ON)
option(WITH_DEPTHAI "Include depthai-core support" OFF)
option(WITH_XVSDK "Include XVisio SDK support" OFF)
option(WITH_OCTOMAP "Include OctoMap support" ON)
option(WITH_GRIDMAP "Include GridMap support" ON)
option(WITH_GRIDMAP "Include GridMap support" OFF)
option(WITH_CPUTSDF "Include CPUTSDF support" OFF)
option(WITH_OPENCHISEL "Include open_chisel support" OFF)
option(WITH_ALICE_VISION "Include AliceVision support" OFF)
@@ -501,21 +501,30 @@ IF(WITH_G2O)
get_target_property(G2O_INCLUDES g2o::core INTERFACE_INCLUDE_DIRECTORIES)
MESSAGE(STATUS "g2o include dir: ${G2O_INCLUDES}")
FIND_FILE(G2O_FACTORY_FILE g2o/core/factory.h
PATHS ${G2O_INCLUDES}
NO_DEFAULT_PATH)
FILE(READ ${G2O_FACTORY_FILE} TMPTXT)
STRING(FIND "${TMPTXT}" "shared_ptr" matchres)
IF(${matchres} EQUAL -1)
MESSAGE(STATUS "Old g2o factory version detected without shared ptr (factory file: ${G2O_FACTORY_FILE}).")
SET(G2O_CPP11 2)
ELSE()
MESSAGE(STATUS "Latest g2o factory version detected with shared ptr (factory file: ${G2O_FACTORY_FILE}).")
SET(G2O_CPP11 1)
ENDIF()
PATHS ${G2O_INCLUDES}
NO_DEFAULT_PATH)
FILE(READ ${G2O_FACTORY_FILE} TMPTXT)
STRING(FIND "${TMPTXT}" "shared_ptr" matchres)
IF(${matchres} EQUAL -1)
MESSAGE(STATUS "Old g2o factory version detected without shared ptr (factory file: ${G2O_FACTORY_FILE}).")
SET(G2O_CPP11 2)
ELSE()
MESSAGE(STATUS "Latest g2o factory version detected with shared ptr (factory file: ${G2O_FACTORY_FILE}).")
SET(G2O_CPP11 1)
ENDIF()
ELSE()
FIND_PACKAGE(G2O QUIET)
IF(G2O_FOUND)
MESSAGE(STATUS "Found g2o: ${G2O_INCLUDE_DIRS}")
FIND_FILE(G2O_FACTORY_FILE g2o/core/factory.h
PATHS ${G2O_INCLUDES}
NO_DEFAULT_PATH)
FILE(READ ${G2O_FACTORY_FILE} TMPTXT)
STRING(FIND "${TMPTXT}" "shared_ptr" matchres)
IF(NOT ${matchres} EQUAL -1)
MESSAGE(STATUS "Latest g2o factory version detected with shared ptr (factory file: ${G2O_FACTORY_FILE}).")
SET(G2O_CPP11 1)
ENDIF()
ENDIF(G2O_FOUND)
ENDIF()
ENDIF(WITH_G2O)
@@ -1410,11 +1419,11 @@ MESSAGE(STATUS " With ORB OcTree = NO (WITH_ORB_OCTREE=OFF)")
ENDIF()
IF(TORCH_FOUND)
MESSAGE(STATUS " With SupertPoint = YES (License: GPLv3) libtorch=${Torch_VERSION}")
MESSAGE(STATUS " With SuperPoint = YES (License: GPLv3) libtorch=${Torch_VERSION}")
ELSEIF(NOT WITH_TORCH)
MESSAGE(STATUS " With SupertPoint = NO (WITH_TORCH=OFF)")
MESSAGE(STATUS " With SuperPoint = NO (WITH_TORCH=OFF)")
ELSE()
MESSAGE(STATUS " With SupertPoint = NO (libtorch not found)")
MESSAGE(STATUS " With SuperPoint = NO (libtorch not found)")
ENDIF()
IF(WITH_PYTHON AND Python3_FOUND)
+1 -1
View File
@@ -1,5 +1,5 @@
RTAB-Map - https://github.com/introlab/rtabmap
Copyright (c) 2010-2021, Mathieu Labbe - IntRoLab - Universite de Sherbrooke, all rights reserved.
Copyright (c) 2010-2025, 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
+3 -3
View File
@@ -64,8 +64,8 @@ This project is supported by [IntRoLab - Intelligent / Interactive / Integrated
<td><a href="http://build.ros2.org/job/Hbin_uJ64__rtabmap__ubuntu_jammy_amd64__binary/"><img src="http://build.ros2.org/buildStatus/icon?job=Hbin_uJ64__rtabmap__ubuntu_jammy_amd64__binary" alt="Build Status"/></td>
</tr>
<tr>
<td>Iron</td>
<td><a href="http://build.ros2.org/job/Ibin_uJ64__rtabmap__ubuntu_jammy_amd64__binary/"><img src="http://build.ros2.org/buildStatus/icon?job=Ibin_uJ64__rtabmap__ubuntu_jammy_amd64__binary" alt="Build Status"/></td>
<td>Jazzy</td>
<td><a href="http://build.ros2.org/job/Jbin_uN64__rtabmap__ubuntu_noble_amd64__binary/"><img src="http://build.ros2.org/buildStatus/icon?job=Jbin_uN64__rtabmap__ubuntu_noble_amd64__binary" alt="Build Status"/></td>
</tr>
<tr>
<td>Rolling</td>
@@ -76,7 +76,7 @@ This project is supported by [IntRoLab - Intelligent / Interactive / Integrated
<td>
<a href="https://hub.docker.com/r/introlab3it/rtabmap">rtabmap</a>
</td>
<td><img src="https://img.shields.io/docker/pulls/introlab3it/rtabmap.svg?label=pulls" alt="Docker Pulls"/></td>
<td><img src="https://img.shields.io/docker/pulls/introlab3it/rtabmap" alt="Docker Pulls"/></td>
</tr>
</tbody>
</table>
+38 -4
View File
@@ -3,9 +3,10 @@ SET(INCLUDE_DIRS
${CMAKE_CURRENT_SOURCE_DIR}
${CMAKE_CURRENT_SOURCE_DIR}/tango-gl/include
${CMAKE_CURRENT_SOURCE_DIR}/third-party/include
${PROJECT_BINARY_DIR}/corelib/include
${PROJECT_SOURCE_DIR}/corelib/include
${PROJECT_SOURCE_DIR}/utilite/include
${PROJECT_BINARY_DIR}/corelib/include
${PROJECT_SOURCE_DIR}/corelib/include
${PROJECT_SOURCE_DIR}/utilite/include
${CMAKE_CURRENT_BINARY_DIR}
${OpenCV_INCLUDE_DIRS}
${PCL_INCLUDE_DIRS}
"${ANDROID_NDK}/platforms/android-${ANDROID_NATIVE_API_LEVEL}/arch-${ANDROID_ARCH_NAME}/usr/include"
@@ -24,14 +25,19 @@ set(sources
point_cloud_drawable.cpp
graph_drawable.cpp
background_renderer.cc
text_drawable.cpp
quad_color.cpp
tango-gl/bounding_box.cpp
tango-gl/axis.cpp
tango-gl/camera.cpp
tango-gl/circle.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/mesh.cpp
tango-gl/shaders.cpp
tango-gl/trace.cpp
tango-gl/transform.cpp
@@ -114,7 +120,35 @@ add_definitions(${PCL_DEFINITIONS})
INCLUDE_DIRECTORIES(${INCLUDE_DIRS})
add_library(NativeRTABMap SHARED ${sources})
####################################
# Generate resources files
####################################
SET(RESOURCES
${CMAKE_CURRENT_SOURCE_DIR}/resources/text_atlas.png
)
foreach(arg ${RESOURCES})
get_filename_component(filename ${arg} NAME)
string(REPLACE "." "_" output ${filename})
set(RESOURCES_HEADERS "${RESOURCES_HEADERS}" "${CMAKE_CURRENT_BINARY_DIR}/${output}.h")
endforeach(arg ${RESOURCES})
find_host_program(RTABMAP_RES_TOOL rtabmap-res_tool PATHS ${CMAKE_RUNTIME_OUTPUT_DIRECTORY})
IF(NOT RTABMAP_RES_TOOL)
MESSAGE( FATAL_ERROR "RTABMAP_RES_TOOL is not defined (it is the path to \"rtabmap-res_tool\" application created by a non-Android build)." )
ENDIF(NOT RTABMAP_RES_TOOL)
ADD_CUSTOM_COMMAND(
OUTPUT ${RESOURCES_HEADERS}
COMMAND ${RTABMAP_RES_TOOL} -n rtabmap -p ${CMAKE_CURRENT_BINARY_DIR} ${RESOURCES}
COMMENT "[Creating resources]"
DEPENDS ${RESOURCES}
)
####################################
# Generate resources files END
####################################
add_library(NativeRTABMap SHARED ${sources} ${RESOURCES_HEADERS})
target_link_libraries(NativeRTABMap ${LIBRARIES}
android
log
+2 -2
View File
@@ -37,8 +37,8 @@ namespace rtabmap {
//////////////////////////////
// CameraARCore
//////////////////////////////
CameraARCore::CameraARCore(void* env, void* context, void* activity, bool depthFromMotion, bool smoothing, float upstreamRelocalizationAccThr):
CameraMobile(smoothing, upstreamRelocalizationAccThr),
CameraARCore::CameraARCore(void* env, void* context, void* activity, bool depthFromMotion, float upstreamRelocalizationAccThr):
CameraMobile(upstreamRelocalizationAccThr),
env_(env),
context_(context),
activity_(activity),
+1 -1
View File
@@ -50,7 +50,7 @@ namespace rtabmap {
class CameraARCore : public CameraMobile {
public:
CameraARCore(void* env, void* context, void* activity, bool depthFromMotion = false, bool smoothing = false, float upstreamRelocalizationAccThr = 0.0f);
CameraARCore(void* env, void* context, void* activity, bool depthFromMotion = false, float upstreamRelocalizationAccThr = 0.0f);
virtual ~CameraARCore();
virtual void setScreenRotationAndSize(ScreenRotation colorCameraToDisplayRotation, int width, int height);
+2 -2
View File
@@ -40,8 +40,8 @@ namespace rtabmap {
//////////////////////////////
// CameraAREngine
//////////////////////////////
CameraAREngine::CameraAREngine(void* env, void* context, void* activity, bool smoothing, float upstreamRelocalizationAccThr):
CameraMobile(smoothing, upstreamRelocalizationAccThr),
CameraAREngine::CameraAREngine(void* env, void* context, void* activity, float upstreamRelocalizationAccThr):
CameraMobile(upstreamRelocalizationAccThr),
env_(env),
context_(context),
activity_(activity),
+1 -1
View File
@@ -46,7 +46,7 @@ namespace rtabmap {
class CameraAREngine : public CameraMobile {
public:
CameraAREngine(void* env, void* context, void* activity, bool smoothing = false, float upstreamRelocalizationAccThr = 0.0f);
CameraAREngine(void* env, void* context, void* activity, float upstreamRelocalizationAccThr = 0.0f);
virtual ~CameraAREngine();
virtual void setScreenRotationAndSize(ScreenRotation colorCameraToDisplayRotation, int width, int height);
+126 -118
View File
@@ -41,9 +41,6 @@ namespace rtabmap {
//////////////////////////////
// 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,
@@ -53,13 +50,12 @@ const rtabmap::Transform CameraMobile::opticalRotationInv = Transform(
0.0f, 0.0f, -1.0f, 0.0f,
1.0f, 0.0f, 0.0f, 0.0f);
CameraMobile::CameraMobile(bool smoothing, float upstreamRelocalizationAccThr) :
CameraMobile::CameraMobile(float upstreamRelocalizationAccThr) :
Camera(10),
deviceTColorCamera_(Transform::getIdentity()),
textureId_(0),
uvs_initialized_(false),
stampEpochOffset_(0.0),
smoothing_(smoothing),
colorCameraToDisplayRotation_(ROTATION_0),
originUpdate_(true),
upstreamRelocalizationAccThr_(upstreamRelocalizationAccThr),
@@ -108,8 +104,9 @@ void CameraMobile::close()
dataReady_.release();
}
void CameraMobile::resetOrigin()
void CameraMobile::resetOrigin(const rtabmap::Transform & offset)
{
manualOriginOffset_ = offset;
originUpdate_ = true;
}
@@ -193,7 +190,7 @@ void CameraMobile::poseReceived(const Transform & pose, double deviceStamp)
previousAnchorPose_.setNull();
previousAnchorLinearVelocity_.clear();
previousAnchorStamp_ = 0.0;
originOffset_ = pose.translation().inverse();
originOffset_ = manualOriginOffset_.isNull() ? pose.translation().inverse() : manualOriginOffset_;
originUpdate_ = false;
}
@@ -393,124 +390,135 @@ SensorData CameraMobile::updateDataOnRender(Transform & pose)
void CameraMobile::postUpdate()
{
if(data_.isValid())
{
// adjust origin
if(!originOffset_.isNull())
{
dataPose_ = originOffset_ * dataPose_;
viewMatrix_ = glm::inverse(rtabmap::glmFromTransform(rtabmap::opengl_world_T_rtabmap_world * originOffset_ *rtabmap::rtabmap_world_T_opengl_world)*glm::inverse(viewMatrix_));
occlusionModel_.setLocalTransform(originOffset_ * occlusionModel_.localTransform());
}
{
// adjust origin
if(!originOffset_.isNull())
{
dataPose_ = originOffset_ * dataPose_;
viewMatrix_ = glm::inverse(rtabmap::glmFromTransform(rtabmap::opengl_world_T_rtabmap_world * originOffset_ *rtabmap::rtabmap_world_T_opengl_world)*glm::inverse(viewMatrix_));
occlusionModel_.setLocalTransform(originOffset_ * occlusionModel_.localTransform());
}
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(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(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);
// Rotate image depending on the camera orientation
if(colorCameraToDisplayRotation_ == ROTATION_90)
{
UDEBUG("ROTATION_90");
cv::Mat rgb, depth, confidence;
cv::Mat rgbt;
cv::flip(data_.imageRaw(),rgb,1);
cv::transpose(rgb,rgbt);
rgb = rgbt;
cv::Mat deptht;
cv::flip(data_.depthRaw(),depth,1);
cv::transpose(depth,deptht);
depth = deptht;
if(!data_.depthConfidenceRaw().empty()) {
cv::Mat conft;
cv::flip(data_.depthConfidenceRaw(),confidence,1);
cv::transpose(confidence,conft);
confidence = conft;
}
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, confidence, 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 = 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, confidence;
cv::flip(data_.imageRaw(),rgb,1);
cv::flip(rgb,rgb,0);
cv::flip(data_.depthOrRightRaw(),depth,1);
cv::flip(depth,depth,0);
if(!data_.depthConfidenceRaw().empty()) {
cv::flip(data_.depthConfidenceRaw(),confidence,1);
cv::flip(confidence,confidence,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, confidence, 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.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, depth, confidence;
cv::transpose(data_.imageRaw(),rgb);
cv::flip(rgb,rgb,1);
cv::transpose(data_.depthOrRightRaw(),depth);
cv::flip(depth,depth,1);
if(!data_.depthConfidenceRaw().empty()) {
cv::transpose(data_.depthConfidenceRaw(),confidence);
cv::flip(confidence,confidence,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, confidence, 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());
}
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());
}
else
{
UDEBUG("ROTATION_0");
}
}
}
+3 -7
View File
@@ -70,9 +70,6 @@ private:
class CameraMobile : public Camera, public UEventsSender {
public:
static const float bilateralFilteringSigmaS;
static const float bilateralFilteringSigmaR;
static const rtabmap::Transform opticalRotation;
static const rtabmap::Transform opticalRotationInv;
@@ -87,7 +84,7 @@ public:
int kptsSize = 3);
public:
CameraMobile(bool smoothing = false, float upstreamRelocalizationAccThr = 0.0f);
CameraMobile(float upstreamRelocalizationAccThr = 0.0f);
virtual ~CameraMobile();
// abstract functions
@@ -99,7 +96,7 @@ public:
void update(const SensorData & data, const Transform & pose, const glm::mat4 & viewMatrix, const glm::mat4 & projectionMatrix, const float * texCoord);
void updateOnRender();
void resetOrigin();
void resetOrigin(const rtabmap::Transform & offset = rtabmap::Transform());
virtual bool isCalibrated() const;
virtual bool odomProvided() const { return true; }
@@ -110,7 +107,6 @@ public:
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);
@@ -144,12 +140,12 @@ protected:
private:
bool firstFrame_;
double stampEpochOffset_;
bool smoothing_;
ScreenRotation colorCameraToDisplayRotation_;
GPS lastKnownGPS_;
EnvSensors lastEnvSensors_;
Transform originOffset_;
bool originUpdate_;
rtabmap::Transform manualOriginOffset_;
float upstreamRelocalizationAccThr_;
rtabmap::Transform previousAnchorPose_;
std::vector<float> previousAnchorLinearVelocity_;
+1 -2
View File
@@ -114,8 +114,7 @@ void onTangoEventAvailableRouter(void* context, const TangoEvent* event)
//////////////////////////////
// CameraTango
//////////////////////////////
CameraTango::CameraTango(bool colorCamera, int decimation, bool publishRawScan, bool smoothing) :
CameraMobile(smoothing),
CameraTango::CameraTango(bool colorCamera, int decimation, bool publishRawScan) :
tango_config_(0),
colorCamera_(colorCamera),
decimation_(decimation),
+1 -1
View File
@@ -45,7 +45,7 @@ namespace rtabmap {
class CameraTango : public CameraMobile {
public:
CameraTango(bool colorCamera, int decimation, bool publishRawScan, bool smoothing);
CameraTango(bool colorCamera, int decimation, bool publishRawScan);
virtual ~CameraTango();
virtual bool init(const std::string & calibrationFolder = ".", const std::string & cameraName = "");
+65
View File
@@ -0,0 +1,65 @@
/*
Copyright (c) 2010-2025, 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 MEASURE_H_
#define MEASURE_H_
#include <opencv2/opencv.hpp>
class Measure
{
public:
Measure(
const cv::Point3f & pt1,
const cv::Point3f & pt2,
const cv::Vec3f & n1,
const cv::Vec3f & n2) :
pt1_(pt1),
pt2_(pt2),
n1_(n1),
n2_(n2)
{
length_ = cv::norm(pt2_ - pt1_);
}
virtual ~Measure() {}
float length() const {return length_;}
const cv::Point3f & pt1() const {return pt1_;}
const cv::Point3f & pt2() const {return pt2_;}
const cv::Vec3f & n1() const {return n1_;}
const cv::Vec3f & n2() const {return n2_;}
private:
cv::Point3f pt1_;
cv::Point3f pt2_;
cv::Vec3f n1_;
cv::Vec3f n2_;
float length_;
};
#endif /* MEASURE_H_ */
File diff suppressed because it is too large Load Diff
+33 -4
View File
@@ -48,6 +48,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include <pcl/pcl_base.h>
#include <pcl/TextureMesh.h>
#include "Measure.h"
// RTABMapApp handles the application lifecycle and resources.
class RTABMapApp : public UEventsHandler {
@@ -84,7 +85,7 @@ class RTABMapApp : public UEventsHandler {
#ifdef __ANDROID__
bool startCamera(JNIEnv* env, jobject iBinder, jobject context, jobject activity, int driver);
#else // __APPLE__
bool startCamera();
bool startCamera();
#endif
// Allocate OpenGL resources for rendering, mainly for initializing the Scene.
void InitializeGLContent();
@@ -127,6 +128,7 @@ class RTABMapApp : public UEventsHandler {
void setLighting(bool enabled);
void setBackfaceCulling(bool enabled);
void setWireframe(bool enabled);
void setTextureColorSeamsHidden(bool hidden);
void setLocalizationMode(bool enabled);
void setTrajectoryMode(bool enabled);
void setGraphOptimization(bool enabled);
@@ -137,6 +139,7 @@ class RTABMapApp : public UEventsHandler {
void setCameraColor(bool enabled);
void setFullResolution(bool enabled);
void setSmoothing(bool enabled);
void setDepthBleedingError(float value);
void setDepthFromMotion(bool enabled);
void setAppendMode(bool enabled);
void setUpstreamRelocalizationAccThr(float value);
@@ -176,10 +179,19 @@ class RTABMapApp : public UEventsHandler {
int optimizedMinClusterSize,
float optimizedMaxTextureDistance,
int optimizedMinTextureClusterSize,
int textureVertexColorPolicy,
bool blockRendering);
bool postExportation(bool visualize);
bool writeExportedMesh(const std::string & directory, const std::string & name);
int postProcessing(int approach);
void clearMeasures();
void showMeasures(bool x, bool y, bool z, bool custom);
void setMeasuringMode(int mode);
void addMeasureButtonClicked();
void teleportButtonClicked();
void removeMeasure();
void setMetricSystem(bool enabled);
void setMeasuringTextSize(float size);
void postOdometryEvent(
rtabmap::Transform pose,
@@ -203,6 +215,7 @@ class RTABMapApp : public UEventsHandler {
private:
int updateMeshDecimation(int width, int height);
rtabmap::ParametersMap getRtabmapParameters();
void updateMeasuringState();
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;
@@ -223,6 +236,7 @@ class RTABMapApp : public UEventsHandler {
bool trajectoryMode_;
bool rawScanSaved_;
bool smoothing_;
float depthBleedingError_;
bool depthFromMotion_;
bool cameraColor_;
bool fullResolution_;
@@ -238,7 +252,7 @@ class RTABMapApp : public UEventsHandler {
float maxGainRadius_;
int renderingTextureDecimation_;
float backgroundColor_;
int depthConfidence_;
unsigned char depthConfidence_;
float upstreamRelocalizationMaxAcc_;
std::string exportPointCloudFormat_;
@@ -264,11 +278,26 @@ class RTABMapApp : public UEventsHandler {
bool visualizingMesh_;
bool exportedMeshUpdated_;
pcl::TextureMesh::Ptr optMesh_;
pcl::TextureMesh::Ptr optTextureMesh_;
cv::Mat optTexture_;
rtabmap::Mesh optMesh_;
int optRefId_;
rtabmap::Transform * optRefPose_; // App crashes when loading native library if not dynamic
std::list<Measure> measures_; // In opengl frame
bool measuresUpdated_;
bool metricSystem_;
float measuringTextSize_;
float snapAxisThr_;
std::vector<cv::Vec3f> snapAxes_;
int measuringMode_;
bool addMeasureClicked_;
bool teleportClicked_;
bool removeMeasureClicked_;
std::vector<cv::Point3f> measuringTmpPts_; // In opengl frame
std::vector<cv::Point3f> measuringTmpNormals_; // In opengl frame
pcl::PointCloud<pcl::PointXYZRGB>::Ptr targetPoint_;
pcl::PointCloud<pcl::PointXYZ>::Ptr quadSample_;
std::vector<pcl::Vertices> quadSamplePolygons_;
// main_scene_ includes all drawable object for visualizing Tango device's
// movement and point cloud.
Scene main_scene_;
+14
View File
@@ -512,6 +512,19 @@ Java_com_introlab_rtabmap_RTABMapLib_setSmoothing(
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setDepthBleedingError(
JNIEnv*, jclass, jlong native_application, float value)
{
if(native_application)
{
return native(native_application)->setDepthBleedingError(value);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setDepthFromMotion(
JNIEnv*, jclass, jlong native_application, bool enabled)
{
@@ -821,6 +834,7 @@ Java_com_introlab_rtabmap_RTABMapLib_exportMesh(
optimizedMinClusterSize,
optimizedMaxTextureDistance,
optimizedMinTextureClusterSize,
0,
blockRendering);
}
else
+32 -9
View File
@@ -170,10 +170,12 @@ const std::string kTextureMeshVertexShader =
"precision highp float;\n"
"precision mediump int;\n"
"attribute vec3 aVertex;\n"
"attribute vec3 aColor;\n"
"attribute vec2 aTexCoord;\n"
"uniform mat4 uMVP;\n"
"varying vec3 vColor;\n"
"varying vec2 vTexCoord;\n"
"varying float vLightWeighting;\n"
@@ -187,12 +189,14 @@ const std::string kTextureMeshVertexShader =
" vTexCoord = aTexCoord;\n"
" }\n"
" vColor = aColor;\n"
" vLightWeighting = 1.0;\n"
"}\n";
const std::string kTextureMeshLightingVertexShader =
"precision highp float;\n"
"precision mediump int;\n"
"attribute vec3 aVertex;\n"
"attribute vec3 aColor;\n"
"attribute vec3 aNormal;\n"
"attribute vec2 aTexCoord;\n"
@@ -200,6 +204,7 @@ const std::string kTextureMeshLightingVertexShader =
"uniform mat3 uN;\n"
"uniform vec3 uLightingDirection;\n"
"varying vec3 vColor;\n"
"varying vec2 vTexCoord;\n"
"varying float vLightWeighting;\n"
@@ -213,6 +218,7 @@ const std::string kTextureMeshLightingVertexShader =
" vTexCoord = aTexCoord;\n"
" }\n"
" vColor = aColor;\n"
" vec3 transformedNormal = uN * aNormal;\n"
" vLightWeighting = max(dot(transformedNormal, uLightingDirection)*0.5+0.5, 0.0);\n"
" if(vLightWeighting<0.5) \n"
@@ -225,11 +231,22 @@ const std::string kTextureMeshFragmentShader =
"uniform float uGainR;\n"
"uniform float uGainG;\n"
"uniform float uGainB;\n"
"uniform int uHideSeams;\n"
"varying vec3 vColor;\n"
"varying vec2 vTexCoord;\n"
"varying float vLightWeighting;\n"
""
"void main() {\n"
" vec4 textureColor = texture2D(uTexture, vTexCoord);\n"
" vec4 textureColor;\n"
" if(uHideSeams==1) {\n"
" if(vTexCoord.x>0.99 && vTexCoord.y>0.99) {\n"
" textureColor = vec4(vColor.z, vColor.y, vColor.x, 1.0);\n"
" } else {\n"
" textureColor = texture2D(uTexture, vTexCoord);\n"
" }\n"
" } else {\n"
" textureColor = texture2D(uTexture, vTexCoord) * vec4(vColor.z, vColor.y, vColor.x, 1.0);\n"
" }\n"
" gl_FragColor = vec4(textureColor.r * uGainR * vLightWeighting, textureColor.g * uGainG * vLightWeighting, textureColor.b * uGainB * vLightWeighting, textureColor.a);\n"
"}\n";
const std::string kTextureMeshBlendingFragmentShader =
@@ -243,11 +260,12 @@ const std::string kTextureMeshBlendingFragmentShader =
"uniform vec2 uScreenScale;\n"
"uniform float uNearZ;\n"
"uniform float uFarZ;\n"
"varying vec3 vColor;\n"
"varying vec2 vTexCoord;\n"
"varying float vLightWeighting;\n"
""
"void main() {\n"
" vec4 textureColor = texture2D(uTexture, vTexCoord);\n"
" vec4 textureColor = texture2D(uTexture, vTexCoord);\n"
" float alpha = 1.0;\n"
" vec2 coord = uScreenScale * gl_FragCoord.xy;\n;"
" vec4 depthPacked = texture2D(uDepthTexture, coord);\n"
@@ -1008,7 +1026,8 @@ void PointCloudDrawable::Render(
float nearClipPlane,
float farClipPlane,
bool packDepthToColorChannel,
bool wireFrame) const
bool wireFrame,
bool hideSeams) const
{
if(vertex_buffer_ && nPoints_ && visible_ && !shaderPrograms_.empty())
{
@@ -1127,12 +1146,16 @@ void PointCloudDrawable::Render(
attribute_texture = glGetAttribLocation(program, "aTexCoord");
glEnableVertexAttribArray(attribute_texture);
if(depthTexture == 0)
{
GLuint hideSeams_handle = glGetUniformLocation(program, "uHideSeams");
glUniform1i(hideSeams_handle, hideSeams?1:0);
}
}
else
{
attribute_color = glGetAttribLocation(program, "aColor");
glEnableVertexAttribArray(attribute_color);
}
attribute_color = glGetAttribLocation(program, "aColor");
glEnableVertexAttribArray(attribute_color);
}
tango_gl::util::CheckGlError("Pointcloud::Render() common");
@@ -1144,7 +1167,7 @@ void PointCloudDrawable::Render(
{
glVertexAttribPointer(attribute_texture, 2, GL_FLOAT, GL_FALSE, (hasNormals_?9:6)*sizeof(GLfloat), (GLvoid*) (4 * sizeof(GLfloat)));
}
else if(!packDepthToColorChannel)
if(!packDepthToColorChannel)
{
glVertexAttribPointer(attribute_color, 3, GL_UNSIGNED_BYTE, GL_TRUE, (hasNormals_?9:6)*sizeof(GLfloat), (GLvoid*) (3 * sizeof(GLfloat)));
}
+2 -1
View File
@@ -98,7 +98,8 @@ private:
float nearClipPlane = 0, // nonnull if depthTexture>0
float farClipPlane = 0, // nonnull if depthTexture>0
bool packDepthToColorChannel = false,
bool wireFrame = false) const;
bool wireFrame = false,
bool hideSeams = false) const;
private:
template<class PointT>
+69
View File
@@ -0,0 +1,69 @@
/*
* 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 "quad_color.h"
#include "tango-gl/util.h"
static const float vertices[] = {-1.0f, -1.0f, 1.0f, -1.0f,
-1.0f, 1.0f, 1.0f, 1.0f};
QuadColor::QuadColor(float size) {
SetShader();
vertices_.resize(8);
for(int i=0; i<8; ++i)
{
vertices_[i] = vertices[i]*size;
}
}
QuadColor::QuadColor(
float widthLeft,
float widthRight,
float heightBottom,
float heightTop) {
SetShader();
vertices_.resize(8);
vertices_[0] = vertices[0]*widthLeft;
vertices_[1] = vertices[1]*heightBottom;
vertices_[2] = vertices[2]*widthRight;
vertices_[3] = vertices[3]*heightBottom;
vertices_[4] = vertices[4]*widthLeft;
vertices_[5] = vertices[5]*heightTop;
vertices_[6] = vertices[6]*widthRight;
vertices_[7] = vertices[7]*heightTop;
}
void QuadColor::Render(const glm::mat4& projection_mat,
const glm::mat4& view_mat) const {
glUseProgram(shader_program_);
// 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));
glUniform4f(uniform_color_, red_, green_, blue_, alpha_);
// Vertice binding
glEnableVertexAttribArray(attrib_vertices_);
glVertexAttribPointer(attrib_vertices_, 2, GL_FLOAT, GL_FALSE, 0, &vertices_[0]);
glBindBuffer(GL_ARRAY_BUFFER, 0);
glDrawArrays(GL_TRIANGLE_STRIP, 0, 4);
glUseProgram(0);
}
+35
View File
@@ -0,0 +1,35 @@
/*
* 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_QUADCOLOR_H_
#define TANGO_GL_QUADCOLOR_H_
#include "tango-gl/drawable_object.h"
class QuadColor : public tango_gl::DrawableObject {
public:
QuadColor(float size);
QuadColor(float widthLeft,
float widthRight,
float heightBottom,
float heightTop);
QuadColor(const QuadColor& other) = delete;
QuadColor& operator=(const QuadColor&) = delete;
virtual ~QuadColor() {}
void Render(const glm::mat4& projection_mat, const glm::mat4& view_mat) const;
};
#endif // TANGO_GL_QUADCOLOR_H_
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+275 -15
View File
@@ -36,7 +36,7 @@
// 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);
const glm::vec3 Scene::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);
@@ -93,6 +93,7 @@ Scene::Scene() :
lighting_(false),
backfaceCulling_(true),
wireFrame_(false),
textureColorSeamsHidden_(true),
r_(0.0f),
g_(0.0f),
b_(0.0f),
@@ -124,6 +125,7 @@ void Scene::InitGLContent()
UASSERT(axis_ == 0);
TextDrawable::createShaderProgram();
axis_ = new tango_gl::Axis();
frustum_ = new tango_gl::Frustum();
@@ -166,6 +168,7 @@ void Scene::DeleteResources() {
background_renderer_ = 0;
}
TextDrawable::releaseShaderProgram();
PointCloudDrawable::releaseShaderPrograms();
if (graph_shader_program_) {
@@ -198,6 +201,10 @@ void Scene::clear()
{
delete iter->second;
}
clearLines();
clearQuads();
clearTexts();
clearCircles();
if(trace_)
{
trace_->ClearVertexArray();
@@ -215,6 +222,39 @@ void Scene::clear()
}
}
void Scene::clearLines()
{
for(std::map<int, tango_gl::Line*>::iterator iter=lines_.begin(); iter!=lines_.end(); ++iter)
{
delete iter->second;
}
lines_.clear();
}
void Scene::clearTexts()
{
for(std::map<int, TextDrawable*>::iterator iter=texts_.begin(); iter!=texts_.end(); ++iter)
{
delete iter->second;
}
texts_.clear();
}
void Scene::clearQuads()
{
for(std::map<int, QuadColor*>::iterator iter=quads_.begin(); iter!=quads_.end(); ++iter)
{
delete iter->second;
}
quads_.clear();
}
void Scene::clearCircles()
{
for(std::map<int, tango_gl::Circle*>::iterator iter=circles_.begin(); iter!=circles_.end(); ++iter)
{
delete iter->second;
}
circles_.clear();
}
//Should only be called in OpenGL thread!
void Scene::SetupViewPort(int w, int h) {
if (h == 0) {
@@ -444,8 +484,14 @@ int Scene::Render(const float * uvsTransformed, glm::mat4 arViewMatrix, glm::mat
std::vector<glm::vec4> planes = computeFrustumPlanes(projectionMatrix*viewMatrix, true);
std::vector<PointCloudDrawable*> cloudsToDraw(pointClouds_.size());
int oi=0;
int positiveCloudIds = 0;
for(std::map<int, PointCloudDrawable*>::const_iterator iter=pointClouds_.begin(); iter!=pointClouds_.end(); ++iter)
{
if(iter->first > 0)
{
positiveCloudIds++;
}
if(!mapRendering_ && iter->first > 0)
{
break;
@@ -487,7 +533,7 @@ int Scene::Render(const float * uvsTransformed, glm::mat4 arViewMatrix, glm::mat
(blending_ &&
gesture_camera_->GetCameraType()!=tango_gl::GestureCamera::kTopOrtho &&
mapRendering_ && meshRendering_ &&
(cloudsToDraw.size() > 1 || (renderBackgroundCamera && wireFrame_)));
(positiveCloudIds > 1 || (renderBackgroundCamera && wireFrame_)));
if(onlineBlending && fboId_)
{
@@ -629,9 +675,18 @@ int Scene::Render(const float * uvsTransformed, glm::mat4 arViewMatrix, glm::mat
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?depthTexture_:0, screenWidth_, screenHeight_, gesture_camera_->getNearClipPlane(), gesture_camera_->getFarClipPlane(), false, wireFrame_);
cloud->Render(projectionMatrix, viewMatrix, meshRendering_, pointSize_, meshRenderingTexture_, lighting_, distanceToCameraSqr, onlineBlending?depthTexture_:0, screenWidth_, screenHeight_, gesture_camera_->getNearClipPlane(), gesture_camera_->getFarClipPlane(), false, wireFrame_, textureColorSeamsHidden_);
}
if(quads_.find(55556)!=quads_.end())
{
glEnable(GL_BLEND);
glDisable(GL_CULL_FACE);
const QuadColor * quad = quads_.at(55556);
quad->Render(projectionMatrix, viewMatrix);
glEnable(GL_CULL_FACE);
}
if(onlineBlending)
{
if(renderBackgroundCamera && meshRendering_)
@@ -643,6 +698,57 @@ int Scene::Render(const float * uvsTransformed, glm::mat4 arViewMatrix, glm::mat
glDepthMask(GL_TRUE);
}
///////
glDisable (GL_DEPTH_TEST);
if(lines_.size())
{
for(std::map<int, tango_gl::Line*>::const_iterator iter=lines_.begin(); iter!=lines_.end(); ++iter)
{
const tango_gl::Line * line = iter->second;
line->Render(projectionMatrix, viewMatrix);
}
}
if(quads_.size())
{
glEnable(GL_BLEND);
glDisable(GL_CULL_FACE);
for(std::map<int, QuadColor*>::const_iterator iter=quads_.begin(); iter!=quads_.end(); ++iter)
{
if(iter->first!=55556)
{
const QuadColor * quad = iter->second;
quad->Render(projectionMatrix, viewMatrix);
}
}
}
if(circles_.size())
{
glEnable(GL_BLEND);
glDisable(GL_CULL_FACE);
for(std::map<int, tango_gl::Circle*>::const_iterator iter=circles_.begin(); iter!=circles_.end(); ++iter)
{
const tango_gl::Circle * circle = iter->second;
circle->Render(projectionMatrix, viewMatrix);
}
}
if(texts_.size())
{
glDisable(GL_CULL_FACE);
glEnable(GL_BLEND);
glm::mat4 viewMatrixRotInv = viewMatrix;
viewMatrixRotInv[3][0] = 0;
viewMatrixRotInv[3][1] = 0;
viewMatrixRotInv[3][2] = 0;
viewMatrixRotInv = glm::inverse(viewMatrixRotInv);
for(std::map<int, TextDrawable*>::const_iterator iter=texts_.begin(); iter!=texts_.end(); ++iter)
{
const TextDrawable * text = iter->second;
text->Render(projectionMatrix, viewMatrix, viewMatrixRotInv);
}
}
//draw markers on foreground
for(std::map<int, tango_gl::Axis*>::const_iterator iter=markers_.begin(); iter!=markers_.end(); ++iter)
{
@@ -800,12 +906,7 @@ void Scene::addCloud(
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);
}
removeCloudOrMesh(id);
//create
PointCloudDrawable * drawable = new PointCloudDrawable(cloud, indices);
@@ -813,6 +914,16 @@ void Scene::addCloud(
pointClouds_.insert(std::make_pair(id, drawable));
}
void Scene::removeCloudOrMesh(int id)
{
std::map<int, PointCloudDrawable*>::iterator iter=pointClouds_.find(id);
if(iter != pointClouds_.end())
{
delete iter->second;
pointClouds_.erase(iter);
}
}
void Scene::addMesh(
int id,
const rtabmap::Mesh & mesh,
@@ -820,12 +931,7 @@ void Scene::addMesh(
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);
}
removeCloudOrMesh(id);
//create
PointCloudDrawable * drawable = new PointCloudDrawable(mesh, createWireframe);
@@ -885,6 +991,160 @@ void Scene::addMesh(
}
}
void Scene::addLine(
int id,
const cv::Point3f & pt1,
const cv::Point3f & pt2,
const tango_gl::Color & color)
{
LOGI("add line %d", id);
removeLine(id);
//create
tango_gl::Line * line = new tango_gl::Line(2.0f, GL_LINES);
line->SetShader();
std::vector<glm::vec3> vertices(2);
vertices[0].x = pt1.x;
vertices[0].y = pt1.y;
vertices[0].z = pt1.z;
vertices[1].x = pt2.x;
vertices[1].y = pt2.y;
vertices[1].z = pt2.z;
line->UpdateLineVertices(vertices);
line->SetColor(color);
lines_.insert(std::make_pair(id, line));
}
void Scene::removeLine(int id)
{
std::map<int, tango_gl::Line*>::iterator iter=lines_.find(id);
if(iter != lines_.end())
{
delete iter->second;
lines_.erase(iter);
}
}
void Scene::addText(
int id,
const std::string & text,
const rtabmap::Transform & pose,
float size,
const tango_gl::Color & color)
{
LOGI("add text %d", id);
removeText(id);
//create
TextDrawable * textD = new TextDrawable(text, pose, size, color);
texts_.insert(std::make_pair(id, textD));
}
void Scene::removeText(int id)
{
std::map<int, TextDrawable*>::iterator iter=texts_.find(id);
if(iter != texts_.end())
{
delete iter->second;
texts_.erase(iter);
}
}
void Scene::addQuad(
int id,
float size,
const rtabmap::Transform & pose,
const tango_gl::Color & color,
float alpha)
{
//LOGI("add quad %d", id);
std::map<int, QuadColor*>::iterator iter=quads_.find(id);
if(iter != quads_.end())
{
delete iter->second;
quads_.erase(iter);
}
//create
QuadColor * quad = new QuadColor(size);
quad->SetTransformationMatrix(glmFromTransform(pose));
quad->SetColor(color);
quad->SetAlpha(alpha);
quads_.insert(std::make_pair(id, quad));
}
void Scene::addQuad(
int id,
float widthLeft,
float widthRight,
float heightBottom,
float heightTop,
const rtabmap::Transform & pose,
const tango_gl::Color & color,
float alpha)
{
//LOGI("add quad %d", id);
removeQuad(id);
//create
QuadColor * quad = new QuadColor(widthLeft, widthRight, heightBottom, heightTop);
quad->SetTransformationMatrix(glmFromTransform(pose));
quad->SetColor(color);
quad->SetAlpha(alpha);
quads_.insert(std::make_pair(id, quad));
}
void Scene::removeQuad(int id)
{
std::map<int, QuadColor*>::iterator iter=quads_.find(id);
if(iter != quads_.end())
{
delete iter->second;
quads_.erase(iter);
}
}
bool Scene::hasQuad(int id) const
{
return quads_.find(id) != quads_.end();
}
void Scene::addCircle(
int id,
float radius,
const rtabmap::Transform & pose,
const tango_gl::Color & color,
float alpha)
{
//LOGI("add quad %d", id);
std::map<int, tango_gl::Circle*>::iterator iter=circles_.find(id);
if(iter != circles_.end())
{
delete iter->second;
circles_.erase(iter);
}
//create
tango_gl::Circle * circle = new tango_gl::Circle(radius, 12);
circle->SetTransformationMatrix(glmFromTransform(pose));
circle->SetColor(color);
circle->SetAlpha(alpha);
circles_.insert(std::make_pair(id, circle));
}
void Scene::removeCircle(int id)
{
std::map<int, tango_gl::Circle*>::iterator iter=circles_.find(id);
if(iter != circles_.end())
{
delete iter->second;
circles_.erase(iter);
}
}
bool Scene::hasCircle(int id) const
{
return circles_.find(id) != circles_.end();
}
void Scene::setCloudPose(int id, const rtabmap::Transform & pose)
{
+54
View File
@@ -33,6 +33,7 @@
#include <tango-gl/trace.h>
#include <tango-gl/transform.h>
#include <tango-gl/util.h>
#include <tango-gl/circle.h>
#include <rtabmap/core/Transform.h>
#include <rtabmap/core/Link.h>
@@ -41,12 +42,16 @@
#include "graph_drawable.h"
#include "bounding_box_drawable.h"
#include "background_renderer.h"
#include "text_drawable.h"
#include "quad_color.h"
#include <pcl/point_cloud.h>
#include <pcl/point_types.h>
// Scene provides OpenGL drawable objects and renders them for visualization.
class Scene {
public:
static const glm::vec3 kHeightOffset;
public:
// Constructor and destructor.
Scene();
@@ -67,6 +72,10 @@ class Scene {
void setScreenRotation(rtabmap::ScreenRotation colorCameraToDisplayRotation) {color_camera_to_display_rotation_ = colorCameraToDisplayRotation;}
void clear(); // removed all point clouds
void clearLines();
void clearTexts();
void clearQuads();
void clearCircles();
// Render loop.
// @param: cur_pose_transformation, latest pose's transformation.
@@ -119,11 +128,50 @@ class Scene {
const pcl::PointCloud<pcl::PointXYZRGB>::Ptr & cloud,
const pcl::IndicesPtr & indices,
const rtabmap::Transform & pose);
void removeCloudOrMesh(int id);
void addMesh(
int id,
const rtabmap::Mesh & mesh,
const rtabmap::Transform & pose,
bool createWireframe = false);
void addLine(
int id,
const cv::Point3f & pt1,
const cv::Point3f & pt2,
const tango_gl::Color & color = tango_gl::Color(1.0f, 1.0f, 1.0f));
void removeLine(int id);
void addText(
int id,
const std::string & text,
const rtabmap::Transform & pose,
float size,
const tango_gl::Color & color);
void removeText(int id);
void addQuad(
int id,
float size,
const rtabmap::Transform & pose,
const tango_gl::Color & color,
float alpha = 1.0f);
void addQuad(
int id,
float widthLeft,
float widthRight,
float heightBottom,
float heightTop,
const rtabmap::Transform & pose,
const tango_gl::Color & color,
float alpha =1.0f);
void removeQuad(int id);
bool hasQuad(int id) const;
void addCircle(
int id,
float radius,
const rtabmap::Transform & pose,
const tango_gl::Color & color,
float alpha = 1.0f);
void removeCircle(int id);
bool hasCircle(int id) const;
void setCloudPose(int id, const rtabmap::Transform & pose);
void setCloudVisible(int id, bool visible);
@@ -145,6 +193,7 @@ class Scene {
void setLighting(bool enabled) {lighting_ = enabled;}
void setBackfaceCulling(bool enabled) {backfaceCulling_ = enabled;}
void setWireframe(bool enabled) {wireFrame_ = enabled;}
void setTextureColorSeamsHidden(bool hidden) {textureColorSeamsHidden_ = hidden;}
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);
@@ -188,6 +237,10 @@ class Scene {
rtabmap::ScreenRotation color_camera_to_display_rotation_;
std::map<int, PointCloudDrawable*> pointClouds_;
std::map<int, tango_gl::Line*> lines_;
std::map<int, TextDrawable*> texts_;
std::map<int, QuadColor*> quads_;
std::map<int, tango_gl::Circle*> circles_;
rtabmap::Transform * currentPose_;
@@ -203,6 +256,7 @@ class Scene {
bool lighting_;
bool backfaceCulling_;
bool wireFrame_;
bool textureColorSeamsHidden_;
float r_;
float g_;
float b_;
+1 -1
View File
@@ -28,8 +28,8 @@ Circle::Circle(float radius, int resolution) : Mesh(GL_TRIANGLE_FAN){
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);
vertices.push_back(0);
}
SetVertices(vertices);
}
+366
View File
@@ -0,0 +1,366 @@
/*
Copyright (c) 2010-2025, 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.
*/
#ifdef __ANDROID__
#include <jni.h>
#endif
#include <tango-gl/util.h>
#include <vector>
#include <rtabmap/core/Transform.h>
#include "util.h"
#include "text_drawable.h"
#include "text_atlas_png.h"
#include <rtabmap/utilite/UConversion.h>
const std::string kTextVertexShader =
"uniform mat4 uMVPMatrix;"
"attribute vec4 vPosition;"
"attribute vec2 a_texCoord;"
"varying vec2 v_texCoord;"
"void main() {"
" gl_Position = uMVPMatrix * vPosition;"
" v_texCoord = a_texCoord;"
"}";
const std::string kTextFragmentShader =
"precision mediump float;"
"uniform vec3 uColor;"
"varying vec2 v_texCoord;"
"uniform sampler2D s_texture;"
"void main() {"
" gl_FragColor = texture2D( s_texture, v_texCoord );"
" gl_FragColor.rgb = uColor;"
"}";
const int RI_TEXT_TEXTURE_SIZE = 512; // 512
const float RI_TEXT_HEIGHT_BASE = 32.0f;
const char RI_TEXT_START = ' ';
const char RI_TEXT_STOP = '~'+1;
GLuint TextDrawable::textProgram_ = 0;
GLuint TextDrawable::textTextureId_ = 0;
float TextDrawable::textUVWidth_ = 0;
float TextDrawable::textUVHeight_ = 0;
float TextDrawable::textHeight_ = 0;
std::vector<float> TextDrawable::textCharacterWidths_;
void TextDrawable::createShaderProgram()
{
releaseShaderProgram();
// hard-coded with text_atlas.png resource
textCharacterWidths_.resize(95);
textCharacterWidths_[0]=8;
textCharacterWidths_[1]=9.000000;
textCharacterWidths_[2]=10.000000;
textCharacterWidths_[3]=19.000000;
textCharacterWidths_[4]=18.000000;
textCharacterWidths_[5]=24.000000;
textCharacterWidths_[6]=21.000000;
textCharacterWidths_[7]=5.000000;
textCharacterWidths_[8]=11.000000;
textCharacterWidths_[9]=11.000000;
textCharacterWidths_[10]=15.000000;
textCharacterWidths_[11]=17.000000;
textCharacterWidths_[12]=8.000000;
textCharacterWidths_[13]=12.000000;
textCharacterWidths_[14]=9.000000;
textCharacterWidths_[15]=12.000000;
textCharacterWidths_[16]=18.000000;
textCharacterWidths_[17]=18.000000;
textCharacterWidths_[18]=18.000000;
textCharacterWidths_[19]=18.000000;
textCharacterWidths_[20]=18.000000;
textCharacterWidths_[21]=18.000000;
textCharacterWidths_[22]=18.000000;
textCharacterWidths_[23]=18.000000;
textCharacterWidths_[24]=18.000000;
textCharacterWidths_[25]=18.000000;
textCharacterWidths_[26]=9.000000;
textCharacterWidths_[27]=8.000000;
textCharacterWidths_[28]=16.000000;
textCharacterWidths_[29]=18.000000;
textCharacterWidths_[30]=17.000000;
textCharacterWidths_[31]=16.000000;
textCharacterWidths_[32]=29.000000;
textCharacterWidths_[33]=22.000000;
textCharacterWidths_[34]=20.000000;
textCharacterWidths_[35]=21.000000;
textCharacterWidths_[36]=21.000000;
textCharacterWidths_[37]=18.000000;
textCharacterWidths_[38]=18.000000;
textCharacterWidths_[39]=22.000000;
textCharacterWidths_[40]=23.000000;
textCharacterWidths_[41]=9.000000;
textCharacterWidths_[42]=18.000000;
textCharacterWidths_[43]=20.000000;
textCharacterWidths_[44]=17.000000;
textCharacterWidths_[45]=28.000000;
textCharacterWidths_[46]=23.000000;
textCharacterWidths_[47]=22.000000;
textCharacterWidths_[48]=21.000000;
textCharacterWidths_[49]=22.000000;
textCharacterWidths_[50]=20.000000;
textCharacterWidths_[51]=20.000000;
textCharacterWidths_[52]=20.000000;
textCharacterWidths_[53]=21.000000;
textCharacterWidths_[54]=21.000000;
textCharacterWidths_[55]=28.000000;
textCharacterWidths_[56]=20.000000;
textCharacterWidths_[57]=20.000000;
textCharacterWidths_[58]=19.000000;
textCharacterWidths_[59]=9.000000;
textCharacterWidths_[60]=14.000000;
textCharacterWidths_[61]=9.000000;
textCharacterWidths_[62]=14.000000;
textCharacterWidths_[63]=14.000000;
textCharacterWidths_[64]=11.000000;
textCharacterWidths_[65]=17.000000;
textCharacterWidths_[66]=18.000000;
textCharacterWidths_[67]=17.000000;
textCharacterWidths_[68]=18.000000;
textCharacterWidths_[69]=17.000000;
textCharacterWidths_[70]=11.000000;
textCharacterWidths_[71]=18.000000;
textCharacterWidths_[72]=18.000000;
textCharacterWidths_[73]=8.000000;
textCharacterWidths_[74]=8.000000;
textCharacterWidths_[75]=17.000000;
textCharacterWidths_[76]=8.000000;
textCharacterWidths_[77]=28.000000;
textCharacterWidths_[78]=18.000000;
textCharacterWidths_[79]=18.000000;
textCharacterWidths_[80]=18.000000;
textCharacterWidths_[81]=18.000000;
textCharacterWidths_[82]=12.000000;
textCharacterWidths_[83]=16.000000;
textCharacterWidths_[84]=11.000000;
textCharacterWidths_[85]=18.000000;
textCharacterWidths_[86]=16.000000;
textCharacterWidths_[87]=24.000000;
textCharacterWidths_[88]=16.000000;
textCharacterWidths_[89]=16.000000;
textCharacterWidths_[90]=16.000000;
textCharacterWidths_[91]=11.000000;
textCharacterWidths_[92]=8.000000;
textCharacterWidths_[93]=11.000000;
textCharacterWidths_[94]=21.000000;
textUVWidth_=0.062500;
textUVHeight_=0.082031;
textHeight_=42.000000;
textProgram_ = tango_gl::util::CreateProgram(kTextVertexShader.c_str(), kTextFragmentShader.c_str());
UASSERT(textProgram_ != 0);
glGenTextures(1, &textTextureId_);
UASSERT(textTextureId_);
// gen texture from image
glBindTexture(GL_TEXTURE_2D, textTextureId_);
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);
std::vector<char> data = uHex2Bytes(rtabmap::TEXT_ATLAS_PNG);
cv::Mat rgbImage = cv::imdecode(data, cv::IMREAD_UNCHANGED);
glPixelStorei(GL_UNPACK_ALIGNMENT, 4);
glTexImage2D(GL_TEXTURE_2D, 0, GL_RGBA, rgbImage.cols, rgbImage.rows, 0, GL_RGBA, GL_UNSIGNED_BYTE, rgbImage.data);
GLint error = glGetError();
UASSERT(error == GL_NO_ERROR);
}
void TextDrawable::releaseShaderProgram()
{
if(textProgram_)
{
glDeleteShader(textProgram_);
textProgram_ = 0;
}
}
TextDrawable::TextDrawable(
const std::string & text,
const rtabmap::Transform & pose,
float textSize, // meters
const tango_gl::Color & color) :
poseGl_(glmFromTransform(pose)),
color_(color)
{
if(textProgram_ > 0)
{
vertexBuffer_ = std::vector<float>(text.size() * 12);
textureBuffer_ = std::vector<float>(text.size() * 8);
drawListBuffer_ = std::vector<unsigned short>(text.size() * 6);
int index_vecs = 0;
int index_indices = 0;
int index_uvs = 0;
float x=0.0f;
float y=0.0f;
float uniformscale = textSize/textHeight_;
for(unsigned int i=0; i<text.size(); ++i)
{
// get ascii value
char c = text[i];
int c_val = (int)c;
int indx = c_val-RI_TEXT_START;
if(indx<0 || indx>=textCharacterWidths_.size()) {
// unknown character, we will add a space for it to be save.
indx = 0;
}
int colCount = RI_TEXT_TEXTURE_SIZE/(int)RI_TEXT_HEIGHT_BASE;
// Calculate the uv parts
int row = indx / colCount;
int col = indx % colCount;
float v = row * textUVHeight_;
float v2 = v + textUVHeight_;
float u = col * textUVWidth_;
float u2 = u + textCharacterWidths_[indx]/(float)RI_TEXT_TEXTURE_SIZE;
// Creating the triangle information
std::vector<float> vec(12);
std::vector<float> uv(8);
vec[0] = x;
vec[1] = y + (textHeight_ * uniformscale);
vec[2] = 0;
vec[3] = x;
vec[4] = y;
vec[5] = 0;
vec[6] = x + (textCharacterWidths_[indx] * uniformscale);
vec[7] = y;
vec[8] = 0;
vec[9] = x + (textCharacterWidths_[indx] * uniformscale);
vec[10] = y + (textHeight_ * uniformscale);
vec[11] = 0;
// 0.001f = texture bleeding hack/fix
uv[0] = u+0.001f;
uv[1] = v+0.001f;
uv[2] = u+0.001f;
uv[3] = v2-0.001f;
uv[4] = u2-0.001f;
uv[5] = v2-0.001f;
uv[6] = u2-0.001f;
uv[7] = v+0.001f;
unsigned short inds[6] = {0, 1, 2, 0, 2, 3};
// We need a base value because the object has indices related to
// that object and not to this collection so basicly we need to
// translate the indices to align with the vertexlocation in ou
// vecs array of vectors.
short base = (short) (index_vecs / 3);
// We should add the vec, translating the indices to our saved vector
for(int i=0;i<vec.size();i++)
{
vertexBuffer_[index_vecs] = vec[i];
index_vecs++;
}
// We should add the uvs
for(int i=0;i<uv.size();i++)
{
textureBuffer_[index_uvs] = uv[i];
index_uvs++;
}
// We handle the indices
for(int j=0;j<6;j++)
{
drawListBuffer_[index_indices] = (unsigned short) (base + inds[j]);
index_indices++;
}
// Calculate the new position
x += (textCharacterWidths_[indx] * uniformscale);
}
}
}
void TextDrawable::Render(
const glm::mat4 & projectionMatrix,
const glm::mat4 & viewMatrix,
const glm::mat4 & viewMatrixRotInv) const
{
glUseProgram(textProgram_);
// get handle to vertex shader's vPosition member
int mPositionHandle = glGetAttribLocation(textProgram_, "vPosition");
// Enable a handle to the triangle vertices
glEnableVertexAttribArray(mPositionHandle);
// Prepare the background coordinate data
glVertexAttribPointer(mPositionHandle, 3, GL_FLOAT, false, 0, &vertexBuffer_[0]);
int mTexCoordLoc = glGetAttribLocation(textProgram_, "a_texCoord" );
// Prepare the texturecoordinates
glVertexAttribPointer ( mTexCoordLoc, 2, GL_FLOAT, false, 0, &textureBuffer_[0]);
glEnableVertexAttribArray ( mPositionHandle );
glEnableVertexAttribArray ( mTexCoordLoc );
// get handle to shape's transformation matrix
int mtrxhandle = glGetUniformLocation(textProgram_, "uMVPMatrix");
// Apply the projection and view transformation
//glUniformMatrix4fv(mtrxhandle, 1, false, m, 0);
glm::mat4 mvp_mat = projectionMatrix * viewMatrix * poseGl_ * viewMatrixRotInv;//glm::toMat4(gesture_camera_->GetParent()->GetRotation());
glUniformMatrix4fv(mtrxhandle, 1, GL_FALSE, glm::value_ptr(mvp_mat));
// get handle to color value
int colorhandle = glGetUniformLocation(textProgram_, "uColor");
glUniform3f(colorhandle, color_.r, color_.g, color_.b);
int mSamplerLoc = glGetUniformLocation (textProgram_, "s_texture" );
// Texture activate unit 0
glActiveTexture(GL_TEXTURE0);
// Bind the texture to this unit.
glBindTexture(GL_TEXTURE_2D, textTextureId_);
// Set the sampler texture unit to our selected id
glUniform1i ( mSamplerLoc, 0);
// Draw the triangle
glDrawElements(GL_TRIANGLES, drawListBuffer_.size(), GL_UNSIGNED_SHORT, &drawListBuffer_[0]);
// Disable vertex array
glDisableVertexAttribArray(mPositionHandle);
glDisableVertexAttribArray(mTexCoordLoc);
}
+71
View File
@@ -0,0 +1,71 @@
/*
Copyright (c) 2010-2025, 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_TEXT_DRAWABLE_H_
#define TANGO_TEXT_DRAWABLE_H_
#include <vector>
#include <rtabmap/core/Transform.h>
#include <tango-gl/color.h>
// PointCloudDrawable is responsible for the point cloud rendering.
class TextDrawable {
private:
static GLuint textProgram_;
static GLuint textTextureId_;
static float textUVWidth_;
static float textUVHeight_;
static float textHeight_;
static std::vector<float> textCharacterWidths_;
public:
static void createShaderProgram();
static void releaseShaderProgram();
public:
TextDrawable(
const std::string & text,
const rtabmap::Transform & pose,
float textSize = 0.1f, // meters
const tango_gl::Color & color = tango_gl::Color(1,0,0));
virtual ~TextDrawable() {}
void Render(
const glm::mat4 & projectionMatrix,
const glm::mat4 & viewMatrix,
const glm::mat4 & viewMatrixRotInv) const;
private:
std::vector<float> vertexBuffer_;
std::vector<float> textureBuffer_;
std::vector<unsigned short> drawListBuffer_;
glm::mat4 poseGl_;
tango_gl::Color color_;
};
#endif // TANGO_POINT_CLOUD_POINT_CLOUD_DRAWABLE_H_
@@ -114,6 +114,13 @@
android:title="@string/pref_title_smoothing"
android:summary="@string/pref_summary_smoothing"
android:defaultValue="@string/pref_default_smoothing"/>
<ListPreference
android:key="@string/pref_key_depth_bleeding_error"
android:title="@string/pref_title_depth_bleeding_error"
android:summary="@string/pref_summary_depth_bleeding_error"
android:entries="@array/pref_depth_bleeding_error_keys"
android:entryValues="@array/pref_depth_bleeding_error_values"
android:defaultValue="@string/pref_default_depth_bleeding_error"/>
<com.introlab.rtabmap.CustomSwitchPreference
android:key="@string/pref_key_fisheye"
android:title="@string/pref_title_fisheye"
+24
View File
@@ -76,6 +76,8 @@
<string name="pref_default_resolution">false</string>
<string name="pref_key_smoothing">pref_key_smoothing</string>
<string name="pref_default_smoothing">false</string>
<string name="pref_key_depth_bleeding_error">pref_key_depth_bleeding_error</string>
<string name="pref_default_depth_bleeding_error">0.0</string>
<string name="pref_key_fisheye">pref_key_fisheye</string>
<string name="pref_default_fisheye">false</string>
@@ -337,6 +339,8 @@
<string name="pref_summary_resolution">Save HD images of the color camera if you want very detailed textures. More memory will be required.</string>
<string name="pref_title_smoothing">Smoothing</string>
<string name="pref_summary_smoothing">Smooth the point clouds.</string>
<string name="pref_title_depth_bleeding_error">Depth Bleeding Filtering Error</string>
<string name="pref_summary_depth_bleeding_error">Filter noisy depth points on the edges.</string>
<string name="pref_title_fisheye">Fish Eye Camera</string>
<string name="pref_summary_fisheye">Use fish eye camera instead of the color camera. May not work on some devices.</string>
<string name="pref_title_update_rate">Update Rate</string>
@@ -436,6 +440,26 @@
<item>"29.41995"</item>
<item>"19.6133"</item>
</string-array>
<string-array name="pref_depth_bleeding_error_keys">
<item>"Disabled"</item>
<item>"2.5 cm"</item>
<item>"5 cm"</item>
<item>"10 cm"</item>
<item>"15 cm"</item>
<item>"20 cm"</item>
<item>"25 cm"</item>
<item>"30 cm"</item>
</string-array>
<string-array name="pref_depth_bleeding_error_values">
<item>"0"</item>
<item>"0.025"</item>
<item>"0.05"</item>
<item>"0.10"</item>
<item>"0.15"</item>
<item>"0.20"</item>
<item>"0.25"</item>
<item>"0.30"</item>
</string-array>
<string-array name="pref_max_speed_keys">
<item>"No Limit"</item>
<item>"High"</item>
@@ -1140,6 +1140,7 @@ public class RTABMapActivity extends FragmentActivity implements OnClickListener
RTABMapLib.setRawScanSaved(nativeApplication, sharedPref.getBoolean(getString(R.string.pref_key_raw_scan_saved), Boolean.parseBoolean(getString(R.string.pref_default_raw_scan_saved))));
RTABMapLib.setFullResolution(nativeApplication, sharedPref.getBoolean(getString(R.string.pref_key_resolution), Boolean.parseBoolean(getString(R.string.pref_default_resolution))));
RTABMapLib.setSmoothing(nativeApplication, sharedPref.getBoolean(getString(R.string.pref_key_smoothing), Boolean.parseBoolean(getString(R.string.pref_default_smoothing))));
RTABMapLib.setDepthBleedingError(nativeApplication, Float.parseFloat(sharedPref.getString(getString(R.string.pref_key_depth_bleeding_error), getString(R.string.pref_default_depth_bleeding_error))));
RTABMapLib.setDepthFromMotion(nativeApplication, sharedPref.getBoolean(getString(R.string.pref_key_depth_from_motion), Boolean.parseBoolean(getString(R.string.pref_default_depth_from_motion))));
RTABMapLib.setCameraColor(nativeApplication, !sharedPref.getBoolean(getString(R.string.pref_key_fisheye), Boolean.parseBoolean(getString(R.string.pref_default_fisheye))));
RTABMapLib.setAppendMode(nativeApplication, sharedPref.getBoolean(getString(R.string.pref_key_append), Boolean.parseBoolean(getString(R.string.pref_default_append))));
@@ -73,6 +73,7 @@ public class RTABMapLib
public static native void setRawScanSaved(long nativeApplication, boolean enabled);
public static native void setFullResolution(long nativeApplication, boolean enabled);
public static native void setSmoothing(long nativeApplication, boolean enabled);
public static native void setDepthBleedingError(long nativeApplication, float value);
public static native void setDepthFromMotion(long nativeApplication, boolean enabled);
public static native void setCameraColor(long nativeApplication, boolean enabled);
public static native void setAppendMode(long nativeApplication, boolean enabled);
@@ -222,7 +222,8 @@ public class SettingsActivity extends PreferenceActivity implements OnSharedPref
((Preference)findPreference(getString(R.string.pref_key_background_color))).setSummary("("+((ListPreference)findPreference(getString(R.string.pref_key_background_color))).getEntry() + ") "+getString(R.string.pref_summary_background_color));
((Preference)findPreference(getString(R.string.pref_key_rendering_texture_decimation))).setSummary("("+((ListPreference)findPreference(getString(R.string.pref_key_rendering_texture_decimation))).getEntry() + ") "+getString(R.string.pref_summary_rendering_texture_decimation));
((Preference)findPreference(getString(R.string.pref_key_arcore_relocalization_acc_thr))).setSummary("("+((ListPreference)findPreference(getString(R.string.pref_key_arcore_relocalization_acc_thr))).getEntry() + ") "+getString(R.string.pref_summary_arcore_relocalization_acc_thr));
((Preference)findPreference(getString(R.string.pref_key_depth_bleeding_error))).setSummary("("+((ListPreference)findPreference(getString(R.string.pref_key_depth_bleeding_error))).getEntry() + ") "+getString(R.string.pref_summary_depth_bleeding_error));
((Preference)findPreference(getString(R.string.pref_key_arcore_relocalization_acc_thr))).setSummary("("+((ListPreference)findPreference(getString(R.string.pref_key_arcore_relocalization_acc_thr))).getEntry() + ") "+getString(R.string.pref_summary_arcore_relocalization_acc_thr));
((Preference)findPreference(getString(R.string.pref_key_update_rate))).setSummary("("+((ListPreference)findPreference(getString(R.string.pref_key_update_rate))).getEntry() + ") "+getString(R.string.pref_summary_update_rate));
((Preference)findPreference(getString(R.string.pref_key_max_speed))).setSummary("("+((ListPreference)findPreference(getString(R.string.pref_key_max_speed))).getEntry() + ") "+getString(R.string.pref_summary_max_speed));
((Preference)findPreference(getString(R.string.pref_key_time_thr))).setSummary("("+((ListPreference)findPreference(getString(R.string.pref_key_time_thr))).getEntry() + ") "+getString(R.string.pref_summary_time_thr));
@@ -285,7 +286,8 @@ public class SettingsActivity extends PreferenceActivity implements OnSharedPref
if(key.compareTo(getString(R.string.pref_key_background_color))==0) pref.setSummary("("+((ListPreference)pref).getEntry() + ") "+getString(R.string.pref_summary_background_color));
if(key.compareTo(getString(R.string.pref_key_rendering_texture_decimation))==0) pref.setSummary("("+((ListPreference)pref).getEntry() + ") "+getString(R.string.pref_summary_rendering_texture_decimation));
if(key.compareTo(getString(R.string.pref_key_arcore_relocalization_acc_thr))==0) pref.setSummary("("+((ListPreference)pref).getEntry() + ") "+getString(R.string.pref_summary_arcore_relocalization_acc_thr));
if(key.compareTo(getString(R.string.pref_key_depth_bleeding_error))==0) pref.setSummary("("+((ListPreference)pref).getEntry() + ") "+getString(R.string.pref_summary_depth_bleeding_error));
if(key.compareTo(getString(R.string.pref_key_arcore_relocalization_acc_thr))==0) pref.setSummary("("+((ListPreference)pref).getEntry() + ") "+getString(R.string.pref_summary_arcore_relocalization_acc_thr));
if(key.compareTo(getString(R.string.pref_key_update_rate))==0) pref.setSummary("("+((ListPreference)pref).getEntry() + ") "+getString(R.string.pref_summary_update_rate));
if(key.compareTo(getString(R.string.pref_key_max_speed))==0) pref.setSummary("("+((ListPreference)pref).getEntry() + ") "+getString(R.string.pref_summary_max_speed));
if(key.compareTo(getString(R.string.pref_key_time_thr))==0) pref.setSummary("("+((ListPreference)pref).getEntry() + ") "+getString(R.string.pref_summary_time_thr));
+268 -212
View File
@@ -8,10 +8,82 @@
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4E10D8D32DE40F190015926D /* liblaszip.a in Frameworks */,
4E10D8E12DE4101B0015926D /* liblibjpeg-turbo.a in Frameworks */,
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};
@@ -475,6 +470,7 @@
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children = (
44D4681D2D538A4100B094BA /* RTABMapApp.entitlements */,
4E20B24F266AB95600316EE6 /* Images.xcassets */,
4EFD0BB0259D503200575D88 /* NativeWrapper */,
4EFD0B62259D501E00575D88 /* tango-gl */,
@@ -496,6 +492,52 @@
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4E10D8622DE408EE0015926D /* libmetis-gtsam.a */,
4E10D86C2DE408EF0015926D /* libopencv_dnn_superres.a */,
4E10D8772DE408EF0015926D /* libopencv_gapi.a */,
4E10D8692DE408EE0015926D /* libopencv_intensity_transform.a */,
4E10D87D2DE408EF0015926D /* libopencv_mcc.a */,
4E10D86E2DE408EF0015926D /* libopencv_quality.a */,
4E10D86D2DE408EF0015926D /* libopencv_rapid.a */,
4E10D8782DE408EF0015926D /* libopencv_signal.a */,
4E10D8632DE408EE0015926D /* libopencv_wechat_qrcode.a */,
4ED73AD02D7FECF3007899C2 /* liblaszip.a */,
4EFAA9422CAE4E960055DA51 /* liblas.a */,
4EFD0F4D259D67D900575D88 /* liblibjpeg-turbo.a */,
4EFD0F4C259D67D900575D88 /* liblibpng.a */,
@@ -679,6 +721,12 @@
4EFD0BB0259D503200575D88 /* NativeWrapper */ = {
isa = PBXGroup;
children = (
4E1E9CF92D619025000CB881 /* text_atlas_png.h */,
4E1E9CF62D618079000CB881 /* quad_color.cpp */,
4E1E9CF32D618079000CB881 /* quad_color.h */,
4E1E9CF52D618079000CB881 /* text_drawable.cpp */,
4E1E9CF42D618079000CB881 /* text_drawable.h */,
4E1E9CF22D617D08000CB881 /* Measure.h */,
4EFD0F6E259F847300575D88 /* background_renderer.cc */,
4EFD0F6F259F847300575D88 /* background_renderer.h */,
4EFD0F66259E38DE00575D88 /* NativeWrapper.cpp */,
@@ -791,7 +839,7 @@
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runOnlyForDeploymentPostprocessing = 0;
shellPath = /bin/sh;
shellScript = "# Type a script or drag a script file from your workspace to insert its path.\nversion=\"$MARKETING_VERSION\"\n/usr/libexec/PlistBuddy -c \"Set PreferenceSpecifiers:21:DefaultValue $version\" \"${SRCROOT}/Settings.bundle/Root.plist\"\n";
shellScript = "# Type a script or drag a script file from your workspace to insert its path.\nversion=\"$MARKETING_VERSION\"\n/usr/libexec/PlistBuddy -c \"Set PreferenceSpecifiers:24:DefaultValue $version\" \"${SRCROOT}/Settings.bundle/Root.plist\"\n";
};
/* End PBXShellScriptBuildPhase section */
@@ -800,6 +848,8 @@
isa = PBXSourcesBuildPhase;
buildActionMask = 2147483647;
files = (
4E1E9CF72D618E69000CB881 /* quad_color.cpp in Sources */,
4E1E9CF82D618E69000CB881 /* text_drawable.cpp in Sources */,
4EFD0F70259F847300575D88 /* background_renderer.cc in Sources */,
4EFD0BC0259D50A800575D88 /* scene.cpp in Sources */,
4E2C516825A63119005CEDBD /* VerticalScrollerView.swift in Sources */,
@@ -867,7 +917,7 @@
ALWAYS_SEARCH_USER_PATHS = NO;
CLANG_ANALYZER_NONNULL = YES;
CLANG_ANALYZER_NUMBER_OBJECT_CONVERSION = YES_AGGRESSIVE;
CLANG_CXX_LANGUAGE_STANDARD = "gnu++14";
CLANG_CXX_LANGUAGE_STANDARD = "gnu++17";
CLANG_CXX_LIBRARY = "libc++";
CLANG_ENABLE_MODULES = YES;
CLANG_ENABLE_OBJC_ARC = YES;
@@ -898,7 +948,7 @@
DEBUG_INFORMATION_FORMAT = dwarf;
ENABLE_STRICT_OBJC_MSGSEND = YES;
ENABLE_TESTABILITY = YES;
GCC_C_LANGUAGE_STANDARD = gnu11;
GCC_C_LANGUAGE_STANDARD = gnu17;
GCC_DYNAMIC_NO_PIC = NO;
GCC_NO_COMMON_BLOCKS = YES;
GCC_OPTIMIZATION_LEVEL = 0;
@@ -928,7 +978,7 @@
ALWAYS_SEARCH_USER_PATHS = NO;
CLANG_ANALYZER_NONNULL = YES;
CLANG_ANALYZER_NUMBER_OBJECT_CONVERSION = YES_AGGRESSIVE;
CLANG_CXX_LANGUAGE_STANDARD = "gnu++14";
CLANG_CXX_LANGUAGE_STANDARD = "gnu++17";
CLANG_CXX_LIBRARY = "libc++";
CLANG_ENABLE_MODULES = YES;
CLANG_ENABLE_OBJC_ARC = YES;
@@ -959,7 +1009,7 @@
DEBUG_INFORMATION_FORMAT = "dwarf-with-dsym";
ENABLE_NS_ASSERTIONS = NO;
ENABLE_STRICT_OBJC_MSGSEND = YES;
GCC_C_LANGUAGE_STANDARD = gnu11;
GCC_C_LANGUAGE_STANDARD = gnu17;
GCC_NO_COMMON_BLOCKS = YES;
GCC_PREPROCESSOR_DEFINITIONS = "";
GCC_WARN_64_TO_32_BIT_CONVERSION = YES;
@@ -986,6 +1036,7 @@
ASSETCATALOG_COMPILER_GLOBAL_ACCENT_COLOR_NAME = AccentColor;
CLANG_CXX_LIBRARY = "libc++";
CLANG_USE_OPTIMIZATION_PROFILE = NO;
CODE_SIGN_ENTITLEMENTS = RTABMapApp/RTABMapApp.entitlements;
CODE_SIGN_IDENTITY = "Apple Development";
CODE_SIGN_STYLE = Automatic;
CURRENT_PROJECT_VERSION = 1;
@@ -1012,8 +1063,9 @@
"$(inherited)",
"$(PROJECT_DIR)/RTABMapApp/Libraries/lib",
"$(PROJECT_DIR)/RTABMapApp/Libraries/share/OpenCV/3rdparty/lib",
"$(PROJECT_DIR)/RTABMapApp/Libraries/lib/opencv4/3rdparty",
);
MARKETING_VERSION = 0.21.8;
MARKETING_VERSION = 0.22.0;
OTHER_CFLAGS = "";
PRODUCT_BUNDLE_IDENTIFIER = com.introlab.rtabmap;
PRODUCT_NAME = "$(TARGET_NAME)";
@@ -1025,11 +1077,12 @@
SYSTEM_HEADER_SEARCH_PATHS = (
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"\"$(SRCROOT)/RTABMapApp/Libraries/include/eigen3\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/include/pcl-1.11\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/include/rtabmap-0.21\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/include/pcl-1.15\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/include/rtabmap-0.22\"",
"\"$(SRCROOT)/../android/jni/tango-gl/include\"",
"\"$(SRCROOT)/../android/jni/third-party/include\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/lib/vtk.framework/Headers\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/include/opencv4\"",
);
TARGETED_DEVICE_FAMILY = "1,2";
VALIDATE_WORKSPACE = NO;
@@ -1043,6 +1096,7 @@
ASSETCATALOG_COMPILER_GLOBAL_ACCENT_COLOR_NAME = AccentColor;
CLANG_CXX_LIBRARY = "libc++";
CLANG_USE_OPTIMIZATION_PROFILE = NO;
CODE_SIGN_ENTITLEMENTS = RTABMapApp/RTABMapApp.entitlements;
CODE_SIGN_IDENTITY = "Apple Development";
CODE_SIGN_STYLE = Automatic;
CURRENT_PROJECT_VERSION = 1;
@@ -1069,8 +1123,9 @@
"$(inherited)",
"$(PROJECT_DIR)/RTABMapApp/Libraries/lib",
"$(PROJECT_DIR)/RTABMapApp/Libraries/share/OpenCV/3rdparty/lib",
"$(PROJECT_DIR)/RTABMapApp/Libraries/lib/opencv4/3rdparty",
);
MARKETING_VERSION = 0.21.8;
MARKETING_VERSION = 0.22.0;
ONLY_ACTIVE_ARCH = YES;
OTHER_CFLAGS = "";
PRODUCT_BUNDLE_IDENTIFIER = com.introlab.rtabmap;
@@ -1083,11 +1138,12 @@
SYSTEM_HEADER_SEARCH_PATHS = (
"\"$(SRCROOT)/RTABMapApp/Libraries/include\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/include/eigen3\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/include/pcl-1.11\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/include/rtabmap-0.21\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/include/pcl-1.15\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/include/rtabmap-0.22\"",
"\"$(SRCROOT)/../android/jni/tango-gl/include\"",
"\"$(SRCROOT)/../android/jni/third-party/include\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/lib/vtk.framework/Headers\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/include/opencv4\"",
);
TARGETED_DEVICE_FAMILY = "1,2";
VALIDATE_WORKSPACE = NO;
+115 -34
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@@ -18,8 +18,8 @@
<rect key="frame" x="0.0" y="0.0" width="393" height="852"/>
<autoresizingMask key="autoresizingMask" widthSizable="YES" heightSizable="YES"/>
<subviews>
<stackView opaque="NO" contentMode="scaleToFill" axis="vertical" translatesAutoresizingMaskIntoConstraints="NO" id="kPv-DO-hpd">
<rect key="frame" x="323" y="366" width="60" height="120"/>
<stackView opaque="NO" contentMode="scaleToFill" axis="vertical" spacing="30" translatesAutoresizingMaskIntoConstraints="NO" id="kPv-DO-hpd">
<rect key="frame" x="323" y="261" width="60" height="330"/>
<subviews>
<button opaque="NO" contentMode="scaleToFill" contentHorizontalAlignment="center" contentVerticalAlignment="center" buttonType="system" lineBreakMode="middleTruncation" translatesAutoresizingMaskIntoConstraints="NO" id="mJN-Ru-yPg" userLabel="StopButton">
<rect key="frame" x="0.0" y="1" width="60" height="58.666666666666671"/>
@@ -34,7 +34,7 @@
</connections>
</button>
<button opaque="NO" contentMode="scaleToFill" contentHorizontalAlignment="center" contentVerticalAlignment="center" lineBreakMode="middleTruncation" translatesAutoresizingMaskIntoConstraints="NO" id="7Lv-u6-mGh" userLabel="RecordButton">
<rect key="frame" x="0.0" y="61.000000000000007" width="60" height="58.666666666666664"/>
<rect key="frame" x="0.0" y="91" width="60" height="58.666666666666686"/>
<constraints>
<constraint firstAttribute="height" constant="60" id="DQI-eQ-v3X"/>
<constraint firstAttribute="width" constant="60" id="Oeu-YT-wMz"/>
@@ -47,6 +47,32 @@
<action selector="recordAction:" destination="zah-iI-EPt" eventType="touchUpInside" id="dzY-yL-YBg"/>
</connections>
</button>
<button opaque="NO" contentMode="scaleToFill" contentHorizontalAlignment="center" contentVerticalAlignment="center" buttonType="system" lineBreakMode="middleTruncation" translatesAutoresizingMaskIntoConstraints="NO" id="lFB-Lm-zFS" userLabel="AddMeasureButton">
<rect key="frame" x="0.0" y="181.33333333333334" width="60" height="57.999999999999972"/>
<constraints>
<constraint firstAttribute="width" constant="60" id="Wtb-vg-lgB"/>
<constraint firstAttribute="height" constant="60" id="p0E-BN-poT"/>
</constraints>
<color key="tintColor" systemColor="systemYellowColor"/>
<inset key="imageEdgeInsets" minX="0.0" minY="0.0" maxX="2.2250738585072014e-308" maxY="0.0"/>
<state key="normal" backgroundImage="plus.viewfinder" catalog="system"/>
<connections>
<action selector="addMeasureAction:" destination="zah-iI-EPt" eventType="touchUpInside" id="lUX-tm-SgY"/>
</connections>
</button>
<button opaque="NO" contentMode="scaleToFill" contentHorizontalAlignment="center" contentVerticalAlignment="center" buttonType="system" lineBreakMode="middleTruncation" translatesAutoresizingMaskIntoConstraints="NO" id="c1k-0i-64A" userLabel="RemoveMeasureButton">
<rect key="frame" x="0.0" y="271" width="60" height="58.666666666666686"/>
<constraints>
<constraint firstAttribute="height" constant="60" id="0gd-nd-i5y"/>
<constraint firstAttribute="width" constant="60" id="mSi-rI-NoN"/>
</constraints>
<color key="tintColor" white="1" alpha="1" colorSpace="custom" customColorSpace="genericGamma22GrayColorSpace"/>
<inset key="imageEdgeInsets" minX="0.0" minY="0.0" maxX="2.2250738585072014e-308" maxY="0.0"/>
<state key="normal" backgroundImage="minus.circle" catalog="system"/>
<connections>
<action selector="removeMeasureAction:" destination="zah-iI-EPt" eventType="touchUpInside" id="2RW-qr-kvb"/>
</connections>
</button>
</subviews>
</stackView>
<stackView opaque="NO" contentMode="scaleToFill" spacing="20" translatesAutoresizingMaskIntoConstraints="NO" id="ozY-dg-YOd">
@@ -79,22 +105,10 @@
</stackView>
<label opaque="NO" userInteractionEnabled="NO" contentMode="left" horizontalHuggingPriority="251" verticalHuggingPriority="251" text="Label" textAlignment="natural" lineBreakMode="wordWrap" baselineAdjustment="alignBaselines" adjustsFontSizeToFit="NO" translatesAutoresizingMaskIntoConstraints="NO" id="KlF-4H-k6I">
<rect key="frame" x="16" y="79" width="31" height="14.333333333333329"/>
<color key="backgroundColor" red="0.0" green="0.0" blue="0.0" alpha="0.29820365646258501" colorSpace="custom" customColorSpace="sRGB"/>
<fontDescription key="fontDescription" type="system" pointSize="12"/>
<color key="textColor" white="1" alpha="1" colorSpace="custom" customColorSpace="genericGamma22GrayColorSpace"/>
<nil key="highlightedColor"/>
</label>
<button opaque="NO" contentMode="scaleToFill" contentHorizontalAlignment="center" contentVerticalAlignment="center" lineBreakMode="middleTruncation" translatesAutoresizingMaskIntoConstraints="NO" id="773-n4-lob" userLabel="ViewButton">
<rect key="frame" x="321" y="756.33333333333337" width="52" height="40"/>
<constraints>
<constraint firstAttribute="width" constant="52" id="epT-x2-WRc"/>
<constraint firstAttribute="height" constant="44" id="wAe-I1-qhs"/>
</constraints>
<color key="tintColor" white="1" alpha="1" colorSpace="custom" customColorSpace="genericGamma22GrayColorSpace"/>
<state key="normal" backgroundImage="eye" catalog="system">
<color key="titleColor" white="1" alpha="1" colorSpace="custom" customColorSpace="genericGamma22GrayColorSpace"/>
</state>
</button>
<button opaque="NO" contentMode="scaleToFill" contentHorizontalAlignment="center" contentVerticalAlignment="center" lineBreakMode="middleTruncation" translatesAutoresizingMaskIntoConstraints="NO" id="012-W3-dOS" userLabel="CloseVisualization">
<rect key="frame" x="111.33333333333333" y="772" width="170.33333333333337" height="22"/>
<color key="tintColor" white="1" alpha="1" colorSpace="custom" customColorSpace="genericGamma22GrayColorSpace"/>
@@ -146,18 +160,8 @@
<action selector="clipDistanceAction:" destination="zah-iI-EPt" eventType="valueChanged" id="iKj-nz-0KW"/>
</connections>
</slider>
<slider opaque="NO" contentMode="scaleToFill" placeholderIntrinsicWidth="114" placeholderIntrinsicHeight="30" contentHorizontalAlignment="center" contentVerticalAlignment="center" value="90" minValue="0.0" maxValue="180" translatesAutoresizingMaskIntoConstraints="NO" id="Z1x-Af-hdf" userLabel="GridRotationSlider">
<rect key="frame" x="135.66666666666666" y="727" width="121.99999999999997" height="31"/>
<constraints>
<constraint firstAttribute="width" constant="118" id="KDl-lP-Jj7"/>
</constraints>
<connections>
<action selector="rotateGridAction:" destination="zah-iI-EPt" eventType="valueChanged" id="eiC-QR-TYH"/>
</connections>
</slider>
<label opaque="NO" userInteractionEnabled="NO" contentMode="left" horizontalHuggingPriority="251" verticalHuggingPriority="251" text="Toast Label" textAlignment="center" lineBreakMode="wordWrap" numberOfLines="4" baselineAdjustment="alignBaselines" adjustsFontSizeToFit="NO" translatesAutoresizingMaskIntoConstraints="NO" id="JMv-UE-cvK" userLabel="ToastLabel">
<rect key="frame" x="51" y="668.33333333333337" width="291" height="20.333333333333371"/>
<color key="backgroundColor" white="0.0" alpha="0.3002232142857143" colorSpace="custom" customColorSpace="genericGamma22GrayColorSpace"/>
<rect key="frame" x="51" y="637.33333333333337" width="291" height="20.333333333333371"/>
<accessibility key="accessibilityConfiguration">
<accessibilityTraits key="traits" staticText="YES" notEnabled="YES"/>
</accessibility>
@@ -165,31 +169,93 @@
<color key="textColor" white="1" alpha="1" colorSpace="custom" customColorSpace="genericGamma22GrayColorSpace"/>
<nil key="highlightedColor"/>
</label>
<slider opaque="NO" contentMode="scaleToFill" placeholderIntrinsicWidth="114" placeholderIntrinsicHeight="30" contentHorizontalAlignment="center" contentVerticalAlignment="center" value="90" minValue="0.0" maxValue="180" translatesAutoresizingMaskIntoConstraints="NO" id="Z1x-Af-hdf" userLabel="GridRotationSlider">
<rect key="frame" x="132" y="727" width="122" height="31"/>
<constraints>
<constraint firstAttribute="width" constant="118" id="KDl-lP-Jj7"/>
</constraints>
<connections>
<action selector="rotateGridAction:" destination="zah-iI-EPt" eventType="valueChanged" id="eiC-QR-TYH"/>
</connections>
</slider>
<button opaque="NO" contentMode="scaleToFill" contentHorizontalAlignment="center" contentVerticalAlignment="center" buttonType="system" lineBreakMode="middleTruncation" translatesAutoresizingMaskIntoConstraints="NO" id="aWA-YQ-w5B" userLabel="TeleportButton">
<rect key="frame" x="10" y="396.66666666666669" width="62.666666666666671" height="60"/>
<constraints>
<constraint firstAttribute="height" constant="60" id="fe3-pR-D97"/>
<constraint firstAttribute="width" constant="60" id="t1H-Yp-Ayy"/>
</constraints>
<color key="tintColor" systemColor="systemGreenColor"/>
<inset key="imageEdgeInsets" minX="0.0" minY="0.0" maxX="2.2250738585072014e-308" maxY="0.0"/>
<state key="normal" backgroundImage="accessibility.badge.arrow.up.right" catalog="system"/>
<connections>
<action selector="teleportButtonAction:" destination="zah-iI-EPt" eventType="touchUpInside" id="acD-kc-XA8"/>
</connections>
</button>
<button opaque="NO" contentMode="scaleToFill" contentHorizontalAlignment="center" contentVerticalAlignment="center" lineBreakMode="middleTruncation" translatesAutoresizingMaskIntoConstraints="NO" id="773-n4-lob" userLabel="ViewButton">
<rect key="frame" x="321" y="756.33333333333337" width="52" height="40"/>
<constraints>
<constraint firstAttribute="width" constant="52" id="epT-x2-WRc"/>
<constraint firstAttribute="height" constant="44" id="wAe-I1-qhs"/>
</constraints>
<color key="tintColor" white="1" alpha="1" colorSpace="custom" customColorSpace="genericGamma22GrayColorSpace"/>
<state key="normal" backgroundImage="eye" catalog="system">
<color key="titleColor" white="1" alpha="1" colorSpace="custom" customColorSpace="genericGamma22GrayColorSpace"/>
</state>
</button>
<button opaque="NO" contentMode="scaleToFill" contentHorizontalAlignment="center" contentVerticalAlignment="center" buttonType="system" lineBreakMode="middleTruncation" translatesAutoresizingMaskIntoConstraints="NO" id="Z7f-kc-Rob" userLabel="MeasuringModeButton">
<rect key="frame" x="293" y="687.33333333333337" width="80" height="32.333333333333371"/>
<constraints>
<constraint firstAttribute="width" secondItem="Z7f-kc-Rob" secondAttribute="height" multiplier="52:27" id="78b-kS-OdV"/>
<constraint firstAttribute="width" constant="80" id="PFZ-dH-x12"/>
</constraints>
<color key="tintColor" systemColor="systemYellowColor"/>
<inset key="imageEdgeInsets" minX="0.0" minY="0.0" maxX="2.2250738585072014e-308" maxY="0.0"/>
<state key="normal" backgroundImage="ruler" catalog="system"/>
<connections>
<action selector="startMeasuring:" destination="zah-iI-EPt" eventType="touchUpInside" id="uAe-Qu-Wwb"/>
</connections>
</button>
<button opaque="NO" contentMode="scaleToFill" contentHorizontalAlignment="center" contentVerticalAlignment="center" lineBreakMode="middleTruncation" translatesAutoresizingMaskIntoConstraints="NO" id="wOV-tT-ZlN" userLabel="StopMeasuring">
<rect key="frame" x="123.33333333333333" y="771" width="146.33333333333343" height="22"/>
<color key="tintColor" white="1" alpha="1" colorSpace="custom" customColorSpace="genericGamma22GrayColorSpace"/>
<state key="normal" title="Stop Measuring" image="xmark.square" catalog="system">
<color key="titleColor" white="1" alpha="1" colorSpace="custom" customColorSpace="genericGamma22GrayColorSpace"/>
</state>
<connections>
<action selector="stopCameraAction:" destination="zah-iI-EPt" eventType="touchUpInside" id="UY3-Dh-T9g"/>
</connections>
</button>
</subviews>
<viewLayoutGuide key="safeArea" id="qAR-pI-uT2"/>
<constraints>
<constraint firstItem="KlF-4H-k6I" firstAttribute="leading" secondItem="qAR-pI-uT2" secondAttribute="leading" constant="16" id="14l-HO-Yqo"/>
<constraint firstItem="kPv-DO-hpd" firstAttribute="centerY" secondItem="sqF-4e-2HU" secondAttribute="centerY" id="4S8-5c-tBm"/>
<constraint firstItem="qAR-pI-uT2" firstAttribute="trailing" secondItem="773-n4-lob" secondAttribute="trailing" constant="20" id="6TZ-Iy-b1B"/>
<constraint firstItem="773-n4-lob" firstAttribute="top" secondItem="Z7f-kc-Rob" secondAttribute="bottom" constant="30" id="7cF-fT-hfI"/>
<constraint firstItem="JMv-UE-cvK" firstAttribute="leading" secondItem="sqF-4e-2HU" secondAttribute="leadingMargin" constant="35" id="Awg-pU-JkT"/>
<constraint firstItem="KlF-4H-k6I" firstAttribute="top" secondItem="qAR-pI-uT2" secondAttribute="top" constant="20" id="CS3-Rk-Wxs"/>
<constraint firstItem="012-W3-dOS" firstAttribute="centerX" secondItem="sqF-4e-2HU" secondAttribute="centerX" id="IsC-yB-kNs"/>
<constraint firstItem="qAR-pI-uT2" firstAttribute="trailing" secondItem="773-n4-lob" secondAttribute="trailing" constant="20" id="N8s-Yg-VsL"/>
<constraint firstItem="qAR-pI-uT2" firstAttribute="bottom" secondItem="wOV-tT-ZlN" secondAttribute="bottom" constant="25" id="Kab-84-pPU"/>
<constraint firstItem="JMv-UE-cvK" firstAttribute="centerX" secondItem="sqF-4e-2HU" secondAttribute="centerX" id="NIf-UH-gZ7"/>
<constraint firstItem="qAR-pI-uT2" firstAttribute="bottom" secondItem="773-n4-lob" secondAttribute="bottom" constant="20" id="O9t-O0-69d"/>
<constraint firstItem="Jj4-ow-MwD" firstAttribute="centerX" secondItem="sqF-4e-2HU" secondAttribute="centerX" id="OLx-LR-8xj"/>
<constraint firstItem="aWA-YQ-w5B" firstAttribute="leading" secondItem="sqF-4e-2HU" secondAttribute="leading" constant="10" id="Rlo-Ir-NqY"/>
<constraint firstItem="012-W3-dOS" firstAttribute="top" secondItem="Z1x-Af-hdf" secondAttribute="bottom" constant="15" id="RpS-k0-btM"/>
<constraint firstItem="ozY-dg-YOd" firstAttribute="top" secondItem="qAR-pI-uT2" secondAttribute="top" constant="20" id="TFT-we-noh"/>
<constraint firstItem="qAR-pI-uT2" firstAttribute="trailing" secondItem="Z7f-kc-Rob" secondAttribute="trailing" constant="20" id="Tbc-4P-ryD"/>
<constraint firstItem="aWA-YQ-w5B" firstAttribute="centerY" secondItem="sqF-4e-2HU" secondAttribute="centerY" id="YXX-yd-QGL"/>
<constraint firstAttribute="trailingMargin" secondItem="JMv-UE-cvK" secondAttribute="trailing" constant="35" id="Ya5-GD-1rM"/>
<constraint firstItem="30J-Tx-NRW" firstAttribute="leading" secondItem="sqF-4e-2HU" secondAttribute="leading" id="ZBG-GX-P1X"/>
<constraint firstItem="wOV-tT-ZlN" firstAttribute="centerX" secondItem="sqF-4e-2HU" secondAttribute="centerX" id="aPp-NO-q0A"/>
<constraint firstItem="3Sc-lx-YKH" firstAttribute="top" secondItem="ozY-dg-YOd" secondAttribute="bottom" constant="16" id="abR-Tj-Nua"/>
<constraint firstItem="qAR-pI-uT2" firstAttribute="bottom" secondItem="012-W3-dOS" secondAttribute="bottom" constant="24" id="dcl-mV-bH1"/>
<constraint firstItem="9oq-op-NGV" firstAttribute="centerX" secondItem="sqF-4e-2HU" secondAttribute="centerX" id="g5b-gW-Amg"/>
<constraint firstItem="Z1x-Af-hdf" firstAttribute="centerX" secondItem="sqF-4e-2HU" secondAttribute="centerX" id="i2j-zQ-m1V"/>
<constraint firstItem="Z1x-Af-hdf" firstAttribute="top" secondItem="JMv-UE-cvK" secondAttribute="bottom" constant="38.5" id="icg-DR-ZpX"/>
<constraint firstItem="qAR-pI-uT2" firstAttribute="bottom" secondItem="773-n4-lob" secondAttribute="bottom" constant="20" id="h09-nI-8yH"/>
<constraint firstItem="9oq-op-NGV" firstAttribute="top" secondItem="JMv-UE-cvK" secondAttribute="bottom" constant="113.33" id="icg-DR-ZpX"/>
<constraint firstItem="qAR-pI-uT2" firstAttribute="bottom" secondItem="9oq-op-NGV" secondAttribute="bottom" constant="25" id="lFI-66-D3N"/>
<constraint firstAttribute="trailing" secondItem="kPv-DO-hpd" secondAttribute="trailing" constant="10" id="lFv-p3-LIS"/>
<constraint firstItem="qAR-pI-uT2" firstAttribute="trailing" secondItem="ozY-dg-YOd" secondAttribute="trailing" constant="20" id="ov4-d2-OMy"/>
<constraint firstItem="012-W3-dOS" firstAttribute="top" secondItem="30J-Tx-NRW" secondAttribute="bottom" constant="60" id="tbj-nG-nfI"/>
<constraint firstItem="Z1x-Af-hdf" firstAttribute="leading" secondItem="30J-Tx-NRW" secondAttribute="trailing" constant="16" id="uMj-kM-hlH"/>
<constraint firstItem="qAR-pI-uT2" firstAttribute="trailing" secondItem="3Sc-lx-YKH" secondAttribute="trailing" constant="10" id="v2K-Dp-Kyn"/>
<constraint firstItem="Jj4-ow-MwD" firstAttribute="centerY" secondItem="sqF-4e-2HU" secondAttribute="centerY" id="vmc-4u-BtF"/>
</constraints>
@@ -198,24 +264,29 @@
</connections>
</glkView>
<connections>
<outlet property="addMeasureButton" destination="lFB-Lm-zFS" id="iOG-iO-mMQ"/>
<outlet property="closeVisualizationButton" destination="012-W3-dOS" id="qSV-q9-eOP"/>
<outlet property="exportOBJPLYButton" destination="3Sc-lx-YKH" id="ZvS-VQ-nsg"/>
<outlet property="libraryButton" destination="9kh-4C-KyP" id="Mvv-uQ-kmi"/>
<outlet property="measuringModeButton" destination="Z7f-kc-Rob" id="C0D-Pc-wdr"/>
<outlet property="menuButton" destination="y53-OI-O76" id="v3g-JB-SsY"/>
<outlet property="newScanButtonLarge" destination="Jj4-ow-MwD" id="0Hv-3K-Xjh"/>
<outlet property="orthoDistanceSlider" destination="30J-Tx-NRW" id="4J1-8u-tDY"/>
<outlet property="orthoGridSlider" destination="Z1x-Af-hdf" id="Zsn-xz-jn0"/>
<outlet property="recordButton" destination="7Lv-u6-mGh" id="xTu-EK-FH2"/>
<outlet property="removeMeasureButton" destination="c1k-0i-64A" id="E9z-yH-Vye"/>
<outlet property="statusLabel" destination="KlF-4H-k6I" id="NmA-K5-UOw"/>
<outlet property="stopButton" destination="mJN-Ru-yPg" id="DND-gz-jLg"/>
<outlet property="stopCameraButton" destination="9oq-op-NGV" id="sxO-jc-luC"/>
<outlet property="stopMeasuringButton" destination="wOV-tT-ZlN" id="iK5-hG-9q0"/>
<outlet property="teleportButton" destination="aWA-YQ-w5B" id="KTE-cK-RCI"/>
<outlet property="toastLabel" destination="JMv-UE-cvK" id="9a7-QF-h02"/>
<outlet property="viewButton" destination="773-n4-lob" id="deU-Na-mBk"/>
</connections>
</glkViewController>
<placeholder placeholderIdentifier="IBFirstResponder" id="plN-WG-seA" userLabel="First Responder" customClass="UIResponder" sceneMemberID="firstResponder"/>
</objects>
<point key="canvasLocation" x="-234.375" y="-586.25"/>
<point key="canvasLocation" x="-235.87786259541983" y="-586.61971830985919"/>
</scene>
<!--Unsupported View Controller-->
<scene sceneID="sJB-xy-u63">
@@ -226,14 +297,14 @@
<autoresizingMask key="autoresizingMask" widthSizable="YES" heightSizable="YES"/>
<subviews>
<label opaque="NO" userInteractionEnabled="NO" contentMode="left" horizontalHuggingPriority="251" verticalHuggingPriority="251" text="Unsupported Device" textAlignment="center" lineBreakMode="tailTruncation" baselineAdjustment="alignBaselines" enabled="NO" adjustsFontSizeToFit="NO" translatesAutoresizingMaskIntoConstraints="NO" id="kZt-ct-4KD">
<rect key="frame" x="28" y="341.33333333333331" width="337.33333333333331" height="33.666666666666686"/>
<rect key="frame" x="21" y="352.33333333333331" width="351.33333333333331" height="33.666666666666686"/>
<fontDescription key="fontDescription" style="UICTFontTextStyleTitle1"/>
<nil key="textColor"/>
<nil key="highlightedColor"/>
</label>
<label opaque="NO" userInteractionEnabled="NO" contentMode="left" horizontalHuggingPriority="251" verticalHuggingPriority="251" textAlignment="center" lineBreakMode="tailTruncation" numberOfLines="0" baselineAdjustment="alignBaselines" enabled="NO" adjustsFontSizeToFit="NO" translatesAutoresizingMaskIntoConstraints="NO" id="4Js-Hw-3QU">
<rect key="frame" x="28" y="383" width="337.33333333333331" height="86.333333333333314"/>
<string key="text">This sample app requires a LiDAR-capable device, such as the second-generation iPad Pro 11-inch and fourth-generation iPad Pro 12.9-inch.</string>
<rect key="frame" x="21" y="394" width="351.33333333333331" height="64.333333333333314"/>
<string key="text">This app requires a LiDAR-capable device, such as the second-generation iPad Pro 11-inch and fourth-generation iPad Pro 12.9-inch.</string>
<fontDescription key="fontDescription" style="UICTFontTextStyleBody"/>
<nil key="textColor"/>
<nil key="highlightedColor"/>
@@ -258,16 +329,26 @@
</scene>
</scenes>
<resources>
<image name="accessibility.badge.arrow.up.right" catalog="system" width="128" height="114"/>
<image name="ellipsis.circle" catalog="system" width="128" height="123"/>
<image name="eye" catalog="system" width="128" height="79"/>
<image name="folder" catalog="system" width="128" height="96"/>
<image name="minus.circle" catalog="system" width="128" height="123"/>
<image name="plus.app" catalog="system" width="128" height="114"/>
<image name="plus.viewfinder" catalog="system" width="128" height="115"/>
<image name="record.circle" catalog="system" width="128" height="123"/>
<image name="ruler" catalog="system" width="128" height="57"/>
<image name="square.and.arrow.up" catalog="system" width="108" height="128"/>
<image name="stop.circle" catalog="system" width="128" height="123"/>
<image name="xmark.square" catalog="system" width="128" height="114"/>
<systemColor name="systemGreenColor">
<color red="0.20392156859999999" green="0.78039215689999997" blue="0.34901960780000002" alpha="1" colorSpace="custom" customColorSpace="sRGB"/>
</systemColor>
<systemColor name="systemRedColor">
<color red="1" green="0.23137254900000001" blue="0.18823529410000001" alpha="1" colorSpace="custom" customColorSpace="sRGB"/>
</systemColor>
<systemColor name="systemYellowColor">
<color red="1" green="0.80000000000000004" blue="0.0" alpha="1" colorSpace="custom" customColorSpace="sRGB"/>
</systemColor>
</resources>
</document>
+13 -5
View File
@@ -55,11 +55,19 @@ class DatabaseView: UIView {
super.init(frame: frame)
self.databaseURL = databaseURL
commonInit(databasePath: databaseURL.path)
DispatchQueue.global().async {
let downloadedImage = getPreviewImage(databasePath: databaseURL.path)
DispatchQueue.main.async {
self.coverImageView.image = downloadedImage
}
if let image = ViewController.previewImages[databaseURL.path]
{
self.coverImageView.image = image
}
else
{
DispatchQueue.global().async {
let downloadedImage = getPreviewImage(databasePath: databaseURL.path)
DispatchQueue.main.async {
self.coverImageView.image = downloadedImage
ViewController.previewImages[databaseURL.path] = downloadedImage
}
}
}
}
+66 -1
View File
@@ -150,11 +150,12 @@ bool exportMeshNative(
int optimizedMinClusterSize,
float optimizedMaxTextureDistance,
int optimizedMinTextureClusterSize,
int textureVertexColorPolicy,
bool blockRendering)
{
if(object)
{
return native(object)->exportMesh(cloudVoxelSize, regenerateCloud, meshing, textureSize, textureCount, normalK, optimized, optimizedVoxelSize, optimizedDepth, optimizedMaxPolygons, optimizedColorRadius, optimizedCleanWhitePolygons, optimizedMinClusterSize, optimizedMaxTextureDistance, optimizedMinTextureClusterSize, blockRendering);
return native(object)->exportMesh(cloudVoxelSize, regenerateCloud, meshing, textureSize, textureCount, normalK, optimized, optimizedVoxelSize, optimizedDepth, optimizedMaxPolygons, optimizedColorRadius, optimizedCleanWhitePolygons, optimizedMinClusterSize, optimizedMaxTextureDistance, optimizedMinTextureClusterSize, textureVertexColorPolicy, blockRendering);
}
else
{
@@ -434,6 +435,13 @@ void setWireframeNative(const void *object, bool enabled)
else
UERROR("object is null!");
}
void setTextureColorSeamsHiddenNative(const void *object, bool hidden)
{
if(object)
native(object)->setTextureColorSeamsHidden(hidden);
else
UERROR("object is null!");
}
void setLocalizationModeNative(const void *object, bool enabled)
{
if(object)
@@ -497,6 +505,13 @@ void setSmoothingNative(const void *object, bool enabled)
else
UERROR("object is null!");
}
void setDepthBleedingErrorNative(const void *object, float value)
{
if(object)
native(object)->setDepthBleedingError(value);
else
UERROR("object is null!");
}
void setAppendModeNative(const void *object, bool enabled)
{
if(object)
@@ -622,3 +637,53 @@ void addEnvSensorNative(const void *object, int type, float value)
else
UERROR("object is null!");
}
void removeMeasureNative(const void *object)
{
if(object)
return native(object)->removeMeasure();
else
UERROR("object is null!");
}
void addMeasureNative(const void *object)
{
if(object)
return native(object)->addMeasureButtonClicked();
else
UERROR("object is null!");
}
void teleportNative(const void *object)
{
if(object)
return native(object)->teleportButtonClicked();
else
UERROR("object is null!");
}
void setMeasuringModeNative(const void *object, int mode)
{
if(object)
return native(object)->setMeasuringMode(mode);
else
UERROR("object is null!");
}
void setMetricSystemNative(const void *object, bool enabled)
{
if(object)
return native(object)->setMetricSystem(enabled);
else
UERROR("object is null!");
}
void setMeasuringTextSizeNative(const void *object, float size)
{
if(object)
return native(object)->setMeasuringTextSize(size);
else
UERROR("object is null!");
}
void clearMeasuresNative(const void *object)
{
if(object)
return native(object)->clearMeasures();
else
UERROR("object is null!");
}
+11
View File
@@ -55,6 +55,7 @@ bool exportMeshNative(
int optimizedMinClusterSize,
float optimizedMaxTextureDistance,
int optimizedMinTextureClusterSize,
int textureVertexColorPolicy,
bool blockRendering);
bool postExportationNative(const void *object, bool visualize);
bool writeExportedMeshNative(const void *object, const char * directory, const char * name);
@@ -90,6 +91,7 @@ void setGridRotationNative(const void *object, float value);
void setLightingNative(const void *object, bool enabled);
void setBackfaceCullingNative(const void *object, bool enabled);
void setWireframeNative(const void *object, bool enabled);
void setTextureColorSeamsHiddenNative(const void *object, bool hidden);
void setLocalizationModeNative(const void *object, bool enabled);
void setDataRecorderModeNative(const void *object, bool enabled);
void setTrajectoryModeNative(const void *object, bool enabled);
@@ -99,6 +101,7 @@ void setGraphVisibleNative(const void *object, bool visible);
void setGridVisibleNative(const void *object, bool visible);
void setFullResolutionNative(const void *object, bool enabled);
void setSmoothingNative(const void *object, bool enabled);
void setDepthBleedingErrorNative(const void *object, float value);
void setAppendModeNative(const void *object, bool enabled);
void setUpstreamRelocalizationAccThrNative(const void *object, float value);
void setMaxCloudDepthNative(const void *object, float value);
@@ -115,6 +118,14 @@ void setDepthConfidenceNative(const void *object, int value);
void setExportPointCloudFormatNative(const void *object, const char * format);
int setMappingParameterNative(const void *object, const char * key, const char * value);
void removeMeasureNative(const void *object);
void addMeasureNative(const void *object);
void teleportNative(const void *object);
void setMeasuringModeNative(const void *object, int mode);
void setMetricSystemNative(const void *object, bool enabled);
void setMeasuringTextSizeNative(const void *object, float size);
void clearMeasuresNative(const void *object);
typedef struct ImageNative
{
const void * objectPtr;
+30 -1
View File
@@ -152,6 +152,27 @@ class RTABMap {
}
}
func removeMeasure() {
removeMeasureNative(native_rtabmap)
}
func addMeasureButtonClicked() {
addMeasureNative(native_rtabmap)
}
func teleportButtonClicked() {
teleportNative(native_rtabmap)
}
func setMeasuringMode(_ mode: Int) {
setMeasuringModeNative(native_rtabmap, Int32(mode))
}
func setMetricSystem(_ enabled: Bool) {
setMetricSystemNative(native_rtabmap, enabled)
}
func setMeasuringTextSize(_ size: Float32) {
setMeasuringTextSizeNative(native_rtabmap, size)
}
func clearMeasures() {
clearMeasuresNative(native_rtabmap)
}
func cancelProcessing() {
cancelProcessingNative(native_rtabmap);
}
@@ -176,6 +197,7 @@ class RTABMap {
optimizedMinClusterSize: Int,
optimizedMaxTextureDistance: Float,
optimizedMinTextureClusterSize: Int,
textureVertexColorPolicy: Int,
blockRendering: Bool) -> Bool
{
return exportMeshNative(native_rtabmap,
@@ -194,6 +216,7 @@ class RTABMap {
Int32(optimizedMinClusterSize),
optimizedMaxTextureDistance,
Int32(optimizedMinTextureClusterSize),
Int32(textureVertexColorPolicy),
blockRendering)
}
@@ -223,7 +246,7 @@ class RTABMap {
return Int(renderNative(native_rtabmap))
}
func startCamera() -> Bool {
func startCamera(imageOverlayInFirstPerson: Bool = true) -> Bool {
return startCameraNative(native_rtabmap)
}
@@ -403,6 +426,9 @@ class RTABMap {
func setWireframe(enabled: Bool) {
setWireframeNative(native_rtabmap, enabled)
}
func setTextureColorSeamsHidden(hidden: Bool) {
setTextureColorSeamsHiddenNative(native_rtabmap, hidden)
}
func setLocalizationMode(enabled: Bool) {
setLocalizationModeNative(native_rtabmap, enabled)
}
@@ -427,6 +453,9 @@ class RTABMap {
func setSmoothing(enabled: Bool) {
setSmoothingNative(native_rtabmap, enabled)
}
func setDepthBleedingError(value: Float) {
setDepthBleedingErrorNative(native_rtabmap, value)
}
func setAppendMode(enabled: Bool) {
setAppendModeNative(native_rtabmap, enabled)
}
@@ -0,0 +1,8 @@
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>com.apple.developer.kernel.increased-memory-limit</key>
<true/>
</dict>
</plist>
+306 -72
View File
@@ -45,6 +45,8 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
private var mReviewRequested = false
private var mMaximumMemory: Int = 0
// UI states
private enum State {
case STATE_WELCOME, // Camera/Motion off - showing only buttons open and start new scan
@@ -53,8 +55,9 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
STATE_IDLE, // Camera/Motion off
STATE_PROCESSING, // Camera/Motion off - post processing
STATE_VISUALIZING, // Camera/Motion off - Showing optimized mesh
STATE_VISUALIZING_CAMERA, // Camera/Motion on - Showing optimized mesh
STATE_VISUALIZING_WHILE_LOADING // Camera/Motion off - Loading data while showing optimized mesh
STATE_VISUALIZING_CAMERA, // Camera/Motion on - Showing optimized mesh and localizing
STATE_VISUALIZING_WHILE_LOADING, // Camera/Motion off - Loading data while showing optimized mesh
STATE_VISUALIZING_AND_MEASURING // Camera/Motion on - Showing optimized mesh without localizing and measuring tools enabled
}
private var mState: State = State.STATE_WELCOME;
private func getStateString(state: State) -> String {
@@ -73,6 +76,8 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
return "Visualizing with Camera"
case .STATE_VISUALIZING_WHILE_LOADING:
return "Visualizing while Loading"
case .STATE_VISUALIZING_AND_MEASURING:
return "Measuring"
default: // IDLE
return "Idle"
}
@@ -93,9 +98,14 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
private var wireframeShown: Bool = false
private var backfaceShown: Bool = false
private var lightingShown: Bool = false
private var textureColorSeamsShown: Bool = false
private var mHudVisible: Bool = true
private var mLastTimeHudShown: DispatchTime = .now()
private var mMenuOpened: Bool = false
private var lowMemoryWarningShown: Bool = false
static var previewImages: [String: UIImage] = [:]
private var measuringMode: Int = 0
private var visualizationType: Int = 0 // 0=Cloud, 1=Mesh, 2=Texture Mesh
@IBOutlet weak var stopButton: UIButton!
@IBOutlet weak var recordButton: UIButton!
@@ -106,6 +116,11 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
@IBOutlet weak var statusLabel: UILabel!
@IBOutlet weak var closeVisualizationButton: UIButton!
@IBOutlet weak var stopCameraButton: UIButton!
@IBOutlet weak var stopMeasuringButton: UIButton!
@IBOutlet weak var teleportButton: UIButton!
@IBOutlet weak var addMeasureButton: UIButton!
@IBOutlet weak var removeMeasureButton: UIButton!
@IBOutlet weak var measuringModeButton: UIButton!
@IBOutlet weak var exportOBJPLYButton: UIButton!
@IBOutlet weak var orthoDistanceSlider: UISlider!{
didSet{
@@ -128,6 +143,7 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
}
@objc func defaultsChanged(){
print("defaultsChanged()")
updateDisplayFromDefaults()
}
@@ -146,7 +162,6 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
func resetNoTouchTimer(_ showHud: Bool = false) {
if(showHud)
{
print("Show HUD")
mMenuOpened = false
mHudVisible = true
setNeedsStatusBarAppearanceUpdate()
@@ -168,20 +183,52 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
}
else if(mState != .STATE_WELCOME && mState != .STATE_CAMERA && presentedViewController as? UIAlertController == nil && !mMenuOpened)
{
print("Hide HUD")
self.mHudVisible = false
self.setNeedsStatusBarAppearanceUpdate()
self.updateState(state: self.mState)
}
}
func addShadow(_ view: UIView, _ offset: Int = 4)
{
view.layer.shadowColor = UIColor.black.cgColor
view.layer.shadowRadius = 3.0
view.layer.shadowOpacity = 1.0
view.layer.shadowOffset = CGSize(width: offset, height: offset)
view.layer.masksToBounds = false
}
override func viewDidLoad() {
mMaximumMemory = getAvailableMemory()
super.viewDidLoad()
// Do any additional setup after loading the view.
self.toastLabel.isHidden = true
session.delegate = self
addShadow(stopButton)
addShadow(recordButton)
addShadow(menuButton)
addShadow(viewButton)
addShadow(newScanButtonLarge)
addShadow(libraryButton)
addShadow(closeVisualizationButton)
addShadow(stopCameraButton)
addShadow(stopMeasuringButton)
addShadow(teleportButton)
addShadow(addMeasureButton)
addShadow(removeMeasureButton)
addShadow(measuringModeButton)
addShadow(exportOBJPLYButton)
addShadow(statusLabel, 0)
addShadow(toastLabel, 0)
addShadow(orthoDistanceSlider, 0)
addShadow(orthoGridSlider, 0)
depthSupported = ARWorldTrackingConfiguration.supportsFrameSemantics(.sceneDepth)
rtabmap = RTABMap()
@@ -237,6 +284,20 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
}
}
func progressStatusUpdate() {
DispatchQueue.main.asyncAfter(deadline: .now() + 1.0) {
if self.mState == .STATE_PROCESSING && self.statusShown
{
let availableMem = self.getAvailableMemory()
let usedMem = self.mMaximumMemory - availableMem;
self.statusLabel.text =
"Status: \(self.getStateString(state: self.mState))\n" +
"RAM Usage (MB): \(usedMem) / \(self.mMaximumMemory)"
self.progressStatusUpdate()
}
}
}
func progressUpdated(_ rtabmap: RTABMap, count: Int, max: Int) {
DispatchQueue.main.async {
self.progressView?.setProgress(Float(count)/Float(max), animated: true)
@@ -262,14 +323,17 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
{
if(optimizedMeshDetected==1)
{
self.visualizationType = 0;
self.setMeshRendering(viewMode: 0)
}
else if(optimizedMeshDetected==2)
{
self.visualizationType = 1;
self.setMeshRendering(viewMode: 1)
}
else // isOBJ
{
self.visualizationType = 2;
self.setMeshRendering(viewMode: 2)
}
@@ -280,10 +344,11 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
self.showToast(message: "Optimized mesh detected in the database, it is shown while the database is loading...", seconds: 3)
}
let usedMem = self.getMemoryUsage()
let availableMem = self.getAvailableMemory()
let usedMem = self.mMaximumMemory - availableMem;
self.statusLabel.text =
"Status: " + (status == 1 && msg.isEmpty ? self.mState == State.STATE_CAMERA ? "Camera Preview" : "Idle" : msg) + "\n" +
"Memory Usage: \(usedMem) MB"
"RAM Usage (MB): \(usedMem) / \(self.mMaximumMemory)"
}
}
@@ -316,7 +381,8 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
pitch: Float,
yaw: Float)
{
let usedMem = self.getMemoryUsage()
let availableMem = self.getAvailableMemory()
let usedMem = self.mMaximumMemory - availableMem;
if(loopClosureId > 0)
{
@@ -339,7 +405,7 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
self.statusLabel.text =
self.statusLabel.text! +
"Status: \(self.getStateString(state: self.mState))\n" +
"Memory Usage : \(usedMem) MB"
"RAM Usage (MB): \(usedMem) / \(self.mMaximumMemory)"
}
if self.debugShown {
self.statusLabel.text =
@@ -426,6 +492,43 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
self.showToast(message: "Landmark \(landmarkDetected) detected!", seconds: 1);
}
}
if(self.mState == .STATE_MAPPING)
{
if(availableMem < 400)
{
let msg = "Scanning will be stopped because the free memory is too "
+ "low (\(availableMem) MB). You should be able to save the database but some post-processing and exporting options may fail. "
+ "\n\nNote that for large environments, you can save multiple databases and "
+ "merge them with RTAB-Map Desktop version."
let alert = UIAlertController(title: "Memory is full!", message: msg, preferredStyle: .alert)
let alertActionYes = UIAlertAction(title: "Ok", style: .default) {
(UIAlertAction) -> Void in
self.stopMapping(ignoreSaving: false, offerPostProcessing: false);
}
alert.addAction(alertActionYes)
self.present(alert, animated: true, completion: nil)
}
else if(!self.lowMemoryWarningShown && usedMem*3 > availableMem && !self.mDataRecording)
{
self.lowMemoryWarningShown = true
let msg = "Available memory (\(availableMem) MB) should be at least 3 times the "
+ "memory used (\(usedMem) MB) so that some post-processing and exporting options "
+ "have enough memory to work correctly. If you just want to save the database "
+ "after scanning, you can continue until the next warning.\n\n"
+ "Note that showing only point clouds and/or decrease density reduce memory needed for rendering."
let alert = UIAlertController(title: "Memory is full!", message: msg, preferredStyle: .alert)
let alertActionYes = UIAlertAction(title: "Stop Now", style: .default) {
(UIAlertAction) -> Void in
self.stopMapping(ignoreSaving: false);
}
alert.addAction(alertActionYes)
let alertActionNo = UIAlertAction(title: "Continue", style: .cancel) {
(UIAlertAction) -> Void in
}
alert.addAction(alertActionNo)
self.present(alert, animated: true, completion: nil)
}
}
}
}
@@ -439,34 +542,22 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
}
}
func getMemoryUsage() -> UInt64 {
var taskInfo = mach_task_basic_info()
var count = mach_msg_type_number_t(MemoryLayout<mach_task_basic_info>.size)/4
let kerr: kern_return_t = withUnsafeMutablePointer(to: &taskInfo) {
$0.withMemoryRebound(to: integer_t.self, capacity: 1) {
task_info(mach_task_self_, task_flavor_t(MACH_TASK_BASIC_INFO), $0, &count)
}
}
if kerr == KERN_SUCCESS {
return taskInfo.resident_size / (1024*1024)
}
else {
print("Error with task_info(): " +
(String(cString: mach_error_string(kerr), encoding: String.Encoding.ascii) ?? "unknown error"))
return 0
}
func getAvailableMemory() -> Int {
return os_proc_available_memory()/(1024*1024)
}
@objc func appMovedToBackground() {
if(mState == .STATE_VISUALIZING_CAMERA || mState == .STATE_MAPPING || mState == .STATE_CAMERA)
print("appMovedToBackground()")
if(mState == .STATE_VISUALIZING_CAMERA || mState == .STATE_VISUALIZING_AND_MEASURING || mState == .STATE_MAPPING || mState == .STATE_CAMERA)
{
stopMapping(ignoreSaving: true)
}
}
@objc func appMovedToForeground() {
print("appMovedToForeground()")
updateDisplayFromDefaults()
updateState(state: mState)
if(mMapNodes > 0 && self.openedDatabasePath == nil)
{
@@ -510,29 +601,33 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
switch AVCaptureDevice.authorizationStatus(for: .video) {
case .authorized: // The user has previously granted access to the camera.
print("Start Camera")
rtabmap!.startCamera()
rtabmap!.startCamera()
let configuration = ARWorldTrackingConfiguration()
var message = ""
if(!UserDefaults.standard.bool(forKey: "LidarMode"))
{
message = "LiDAR is disabled (Settings->Mapping->LiDAR Mode = OFF), only tracked features will be mapped."
self.setMeshRendering(viewMode: 0)
}
else if !depthSupported
{
message = "The device does not have a LiDAR, only tracked features will be mapped. A LiDAR is required for accurate 3D reconstruction."
self.setMeshRendering(viewMode: 0)
}
else
{
configuration.frameSemantics = .sceneDepth
}
if(mState != .STATE_VISUALIZING_AND_MEASURING)
{
if(!UserDefaults.standard.bool(forKey: "LidarMode"))
{
message = "LiDAR is disabled (Settings->Mapping->LiDAR Mode = OFF), only tracked features will be mapped."
self.setMeshRendering(viewMode: 0)
}
else if !depthSupported
{
message = "The device does not have a LiDAR, only tracked features will be mapped. A LiDAR is required for accurate 3D reconstruction."
self.setMeshRendering(viewMode: 0)
}
else
{
configuration.frameSemantics = .sceneDepth
}
}
session.run(configuration, options: [.resetSceneReconstruction, .resetTracking, .removeExistingAnchors])
switch mState {
case .STATE_VISUALIZING:
updateState(state: .STATE_VISUALIZING_CAMERA)
case .STATE_VISUALIZING_AND_MEASURING,
.STATE_VISUALIZING_CAMERA:
break // State should be already set
default:
locationManager?.startUpdatingLocation()
updateState(state: .STATE_CAMERA)
@@ -599,6 +694,7 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
var actionExportEnabled: Bool
var actionOptimizeEnabled: Bool
var actionSettingsEnabled: Bool
var actionMeasuringEnabled: Bool
switch mState {
case .STATE_CAMERA:
@@ -611,9 +707,14 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
stopButton.isHidden = true
closeVisualizationButton.isHidden = true
stopCameraButton.isHidden = false
stopMeasuringButton.isHidden = true
exportOBJPLYButton.isHidden = true
orthoDistanceSlider.isHidden = cameraMode != 3
orthoGridSlider.isHidden = cameraMode != 3
teleportButton.isHidden = true
addMeasureButton.isHidden = true
removeMeasureButton.isHidden = true
measuringModeButton.isHidden = true
actionNewScanEnabled = !mDataRecording
actionNewDataRecording = mDataRecording
actionSaveEnabled = false
@@ -621,6 +722,7 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
actionExportEnabled = false
actionOptimizeEnabled = false
actionSettingsEnabled = false
actionMeasuringEnabled = false
case .STATE_MAPPING:
libraryButton.isEnabled = false
libraryButton.isHidden = !mHudVisible
@@ -631,9 +733,14 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
stopButton.isHidden = false
closeVisualizationButton.isHidden = true
stopCameraButton.isHidden = true
stopMeasuringButton.isHidden = true
exportOBJPLYButton.isHidden = true
orthoDistanceSlider.isHidden = cameraMode != 3 || !mHudVisible
orthoGridSlider.isHidden = cameraMode != 3 || !mHudVisible
teleportButton.isHidden = true
addMeasureButton.isHidden = true
removeMeasureButton.isHidden = true
measuringModeButton.isHidden = true
actionNewScanEnabled = !mDataRecording
actionNewDataRecording = mDataRecording
actionSaveEnabled = false
@@ -641,9 +748,11 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
actionExportEnabled = false
actionOptimizeEnabled = false
actionSettingsEnabled = false
actionMeasuringEnabled = false
case .STATE_PROCESSING,
.STATE_VISUALIZING_WHILE_LOADING,
.STATE_VISUALIZING_CAMERA:
.STATE_VISUALIZING_CAMERA,
.STATE_VISUALIZING_AND_MEASURING:
libraryButton.isEnabled = false
libraryButton.isHidden = !mHudVisible
menuButton.isHidden = !mHudVisible
@@ -653,9 +762,14 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
stopButton.isHidden = true
closeVisualizationButton.isHidden = true
stopCameraButton.isHidden = mState != .STATE_VISUALIZING_CAMERA
stopMeasuringButton.isHidden = mState != .STATE_VISUALIZING_AND_MEASURING
exportOBJPLYButton.isHidden = true
orthoDistanceSlider.isHidden = cameraMode != 3 || mState != .STATE_VISUALIZING_WHILE_LOADING
orthoGridSlider.isHidden = cameraMode != 3 || mState != .STATE_VISUALIZING_WHILE_LOADING
orthoDistanceSlider.isHidden = cameraMode != 3 || mState == .STATE_PROCESSING
orthoGridSlider.isHidden = cameraMode != 3 || mState == .STATE_PROCESSING
teleportButton.isHidden = mState != .STATE_VISUALIZING_AND_MEASURING || cameraMode != 0
addMeasureButton.isHidden = mState != .STATE_VISUALIZING_AND_MEASURING || cameraMode == 3
removeMeasureButton.isHidden = mState != .STATE_VISUALIZING_AND_MEASURING || cameraMode == 3
measuringModeButton.isHidden = true
actionNewScanEnabled = false
actionNewDataRecording = false
actionSaveEnabled = false
@@ -663,6 +777,7 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
actionExportEnabled = false
actionOptimizeEnabled = false
actionSettingsEnabled = false
actionMeasuringEnabled = mState == .STATE_VISUALIZING_AND_MEASURING
case .STATE_VISUALIZING:
libraryButton.isEnabled = !databases.isEmpty
libraryButton.isHidden = !mHudVisible
@@ -673,9 +788,14 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
stopButton.isHidden = true
closeVisualizationButton.isHidden = !mHudVisible
stopCameraButton.isHidden = true
stopMeasuringButton.isHidden = true
exportOBJPLYButton.isHidden = !mHudVisible
orthoDistanceSlider.isHidden = cameraMode != 3 || !mHudVisible
orthoGridSlider.isHidden = cameraMode != 3 || !mHudVisible
teleportButton.isHidden = true
addMeasureButton.isHidden = true
removeMeasureButton.isHidden = true
measuringModeButton.isHidden = !mHudVisible || self.visualizationType==0
actionNewScanEnabled = true
actionNewDataRecording = true
actionSaveEnabled = mMapNodes>0
@@ -683,6 +803,7 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
actionExportEnabled = mMapNodes>0
actionOptimizeEnabled = mMapNodes>0
actionSettingsEnabled = true
actionMeasuringEnabled = true
default: // IDLE // WELCOME
libraryButton.isEnabled = !databases.isEmpty
libraryButton.isHidden = mState != .STATE_WELCOME && !mHudVisible
@@ -693,9 +814,14 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
stopButton.isHidden = true
closeVisualizationButton.isHidden = true
stopCameraButton.isHidden = true
stopMeasuringButton.isHidden = true
exportOBJPLYButton.isHidden = true
orthoDistanceSlider.isHidden = cameraMode != 3 || !mHudVisible
orthoGridSlider.isHidden = cameraMode != 3 || !mHudVisible
teleportButton.isHidden = true
addMeasureButton.isHidden = true
removeMeasureButton.isHidden = true
measuringModeButton.isHidden = true
actionNewScanEnabled = true
actionNewDataRecording = true
actionSaveEnabled = mState != .STATE_WELCOME && mMapNodes>0
@@ -703,21 +829,20 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
actionExportEnabled = mState != .STATE_WELCOME && mMapNodes>0
actionOptimizeEnabled = mState != .STATE_WELCOME && mMapNodes>0
actionSettingsEnabled = true
actionMeasuringEnabled = false
}
let view = self.view as? GLKView
if(mState != .STATE_MAPPING && mState != .STATE_CAMERA && mState != .STATE_VISUALIZING_CAMERA)
if(mState != .STATE_MAPPING && mState != .STATE_CAMERA && mState != .STATE_VISUALIZING_CAMERA && mState != .STATE_VISUALIZING_AND_MEASURING)
{
self.isPaused = true
view?.enableSetNeedsDisplay = true
self.view.setNeedsDisplay()
print("enableSetNeedsDisplay")
}
else
{
view?.enableSetNeedsDisplay = false
self.isPaused = false
print("diaableSetNeedsDisplay")
}
if !self.isPaused {
@@ -726,6 +851,23 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
// Update menus based on current state
if(!exportOBJPLYButton.isHidden) {
let format = UserDefaults.standard.string(forKey: "ExportPointCloudFormat")!;
var title = "Export "
if (self.visualizationType == 2) {
title += "OBJ";
}
else if (self.visualizationType == 1)
{
title += "PLY";
}
else
{
title += format == "las" ? "LAS" : format == "laz" ? "LAZ" : "PLY";
}
self.exportOBJPLYButton.setTitle(title, for: .normal)
}
// PointCloud menu
let pointCloudMenu = UIMenu(title: "Point cloud...", children: [
UIAction(title: "Current Density", handler: { _ in
@@ -787,6 +929,24 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
})
])
// Measuring menu
let measuringMenu = UIMenu(title: "Measuring...", image: UIImage(systemName: "ruler"), children: [
UIAction(title: "Plane to Plane Mode", image: measuringMode == 0 ? UIImage(systemName: "checkmark.circle") : UIImage(systemName: "circle"), handler: { _ in
self.measuringMode = 0
self.rtabmap!.setMeasuringMode(self.measuringMode)
self.resetNoTouchTimer(true)
}),
UIAction(title: "Point to Point Mode", image: measuringMode == 2 ? UIImage(systemName: "checkmark.circle") : UIImage(systemName: "circle"), handler: { _ in
self.measuringMode = 2
self.rtabmap!.setMeasuringMode(self.measuringMode)
self.resetNoTouchTimer(true)
}),
UIAction(title: "Clear All Measures", image: UIImage(systemName: "trash"), state: .off, handler: { _ in
self.clearMeasures();
self.resetNoTouchTimer(true)
})
])
var fileMenuChildren: [UIMenuElement] = []
fileMenuChildren.append(UIAction(title: "New Mapping Session", image: UIImage(systemName: "plus.app"), attributes: actionNewScanEnabled ? [] : .disabled, state: .off, handler: { _ in
self.newScan()
@@ -811,6 +971,13 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
fileMenuChildren.append(UIAction(title: "Append Scan", image: UIImage(systemName: "play.fill"), attributes: actionResumeEnabled ? [] : .disabled, state: .off, handler: { _ in
self.resumeScan()
}))
if(actionMeasuringEnabled) {
fileMenuChildren.append(measuringMenu)
}
else {
fileMenuChildren.append(UIAction(title: "Measuring...", image: UIImage(systemName: "ruler"), attributes: .disabled, state: .off, handler: { _ in
}))
}
fileMenuChildren.append(advancedMenu)
// File menu
@@ -826,7 +993,7 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
self.debugShown = !self.debugShown
self.resetNoTouchTimer(true)
}),
UIAction(title: "Odom Visible", image: odomShown ? UIImage(systemName: "checkmark.circle") : UIImage(systemName: "circle"), attributes: (self.mState == .STATE_MAPPING || self.mState == .STATE_CAMERA || self.mState == .STATE_VISUALIZING_CAMERA) ? [] : .disabled, handler: { _ in
UIAction(title: "Odom Visible", image: odomShown ? UIImage(systemName: "checkmark.circle") : UIImage(systemName: "circle"), attributes: (self.mState == .STATE_MAPPING || self.mState == .STATE_CAMERA || self.mState == .STATE_VISUALIZING_CAMERA || self.mState == .STATE_VISUALIZING_AND_MEASURING) ? [] : .disabled, handler: { _ in
self.odomShown = !self.odomShown
self.rtabmap!.setOdomCloudShown(shown: self.odomShown)
self.resetNoTouchTimer(true)
@@ -865,7 +1032,7 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
let ac = UIAlertController(title: "Reset All Default Settings", message: "Do you want to reset all settings to default?", preferredStyle: .alert)
ac.addAction(UIAlertAction(title: "Yes", style: .default, handler: { _ in
let notificationCenter = NotificationCenter.default
notificationCenter.removeObserver(self)
notificationCenter.removeObserver(self, name: UserDefaults.didChangeNotification, object: nil)
UserDefaults.standard.reset()
self.registerSettingsBundle()
self.updateDisplayFromDefaults();
@@ -881,12 +1048,17 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
// Camera menu
let renderingMenu = UIMenu(title: "Rendering", options: .displayInline, children: [
UIAction(title: "Texture/Color Blend", image: self.textureColorSeamsShown ? UIImage(systemName: "checkmark.circle") : UIImage(systemName: "circle"), attributes: self.mState == .STATE_VISUALIZING || self.mState == .STATE_VISUALIZING_CAMERA || self.mState == .STATE_VISUALIZING_AND_MEASURING || self.mState == .STATE_VISUALIZING_WHILE_LOADING ? [] : .disabled, handler: { _ in
self.textureColorSeamsShown = !self.textureColorSeamsShown
self.rtabmap!.setTextureColorSeamsHidden(hidden: !self.textureColorSeamsShown)
self.resetNoTouchTimer(true)
}),
UIAction(title: "Wireframe", image: self.wireframeShown ? UIImage(systemName: "checkmark.circle") : UIImage(systemName: "circle"), handler: { _ in
self.wireframeShown = !self.wireframeShown
self.rtabmap!.setWireframe(enabled: self.wireframeShown)
self.resetNoTouchTimer(true)
}),
UIAction(title: "Lighting", image: self.lightingShown ? UIImage(systemName: "checkmark.circle") : UIImage(systemName: "circle"), attributes: self.mState == .STATE_VISUALIZING || self.mState == .STATE_VISUALIZING_CAMERA || self.mState == .STATE_VISUALIZING_WHILE_LOADING ? [] : .disabled, handler: { _ in
UIAction(title: "Lighting", image: self.lightingShown ? UIImage(systemName: "checkmark.circle") : UIImage(systemName: "circle"), attributes: self.mState == .STATE_VISUALIZING || self.mState == .STATE_VISUALIZING_CAMERA || self.mState == .STATE_VISUALIZING_AND_MEASURING || self.mState == .STATE_VISUALIZING_WHILE_LOADING ? [] : .disabled, handler: { _ in
self.lightingShown = !self.lightingShown
self.rtabmap!.setLighting(enabled: self.lightingShown)
self.resetNoTouchTimer(true)
@@ -899,21 +1071,21 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
])
let cameraMenu = UIMenu(title: "View", options: .displayInline, children: [
UIAction(title: "First-P. View", image: cameraMode == 0 ? UIImage(systemName: "checkmark.circle") : UIImage(systemName: "circle"), attributes: (self.mState == .STATE_CAMERA || self.mState == .STATE_VISUALIZING || self.mState == .STATE_MAPPING || self.mState == .STATE_VISUALIZING_CAMERA) ? [] : .disabled, handler: { _ in
UIAction(title: "First-P. View", image: cameraMode == 0 ? UIImage(systemName: "checkmark.circle") : UIImage(systemName: "circle"), attributes: (self.mState == .STATE_CAMERA || self.mState == .STATE_VISUALIZING || self.mState == .STATE_MAPPING || self.mState == .STATE_VISUALIZING_CAMERA || self.mState == .STATE_VISUALIZING_AND_MEASURING) ? [] : .disabled, handler: { _ in
self.setGLCamera(type: 0)
if(self.mState == .STATE_VISUALIZING)
{
self.rtabmap?.setLocalizationMode(enabled: true)
self.rtabmap?.setPausedMapping(paused: false);
self.startCamera()
self.updateState(state: .STATE_VISUALIZING_CAMERA)
self.startCamera()
}
else
{
self.resetNoTouchTimer(true)
}
}),
UIAction(title: "Third-P. View", image: cameraMode == 1 ? UIImage(systemName: "checkmark.circle") : UIImage(systemName: "circle"), handler: { _ in
UIAction(title: "Third-P. View", image: cameraMode == 1 ? UIImage(systemName: "checkmark.circle") : UIImage(systemName: "circle"), attributes: (self.mState != .STATE_VISUALIZING_AND_MEASURING) ? [] : .disabled, handler: { _ in
self.setGLCamera(type: 1)
self.resetNoTouchTimer(true)
}),
@@ -927,7 +1099,7 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
})
])
let showCloudMeshActions = mState != .STATE_VISUALIZING && mState != .STATE_VISUALIZING_CAMERA && mState != .STATE_PROCESSING && mState != .STATE_VISUALIZING_WHILE_LOADING
let showCloudMeshActions = mState != .STATE_VISUALIZING && mState != .STATE_VISUALIZING_CAMERA && mState != .STATE_VISUALIZING_AND_MEASURING && mState != .STATE_PROCESSING && mState != .STATE_VISUALIZING_WHILE_LOADING
let cloudMeshMenu = UIMenu(title: "CloudMesh", options: .displayInline, children: [
UIAction(title: "Point Cloud", image: viewMode == 0 ? UIImage(systemName: "checkmark.circle") : UIImage(systemName: "circle"), attributes: showCloudMeshActions ? [] : .disabled, handler: { _ in
self.setMeshRendering(viewMode: 0)
@@ -1339,6 +1511,7 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
rtabmap!.setNodesFiltering(enabled: defaults.bool(forKey: "NodesFiltering"));
rtabmap!.setFullResolution(enabled: defaults.bool(forKey: "HDMode"));
rtabmap!.setSmoothing(enabled: defaults.bool(forKey: "Smoothing"));
rtabmap!.setDepthBleedingError(value: defaults.float(forKey: "DepthBleedingError"));
rtabmap!.setAppendMode(enabled: defaults.bool(forKey: "AppendMode"));
rtabmap!.setUpstreamRelocalizationAccThr(value: defaults.float(forKey: "UpstreamRelocalizationFilteringAccThr"));
rtabmap!.setExportPointCloudFormat(format: defaults.string(forKey: "ExportPointCloudFormat")!);
@@ -1378,6 +1551,7 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
rtabmap!.setMappingParameter(key: "Marker/Dictionary", value: defaults.string(forKey: "ArUcoMarkerDetection")!);
rtabmap!.setMappingParameter(key: "Marker/CornerRefinementMethod", value: (markerDetection > 16 ? "3":"0"));
rtabmap!.setMappingParameter(key: "Marker/MaxDepthError", value: defaults.string(forKey: "MarkerDepthErrorEstimation")!);
rtabmap!.setMappingParameter(key: "Marker/MaxRange", value: defaults.string(forKey: "MarkerMaxRange")!);
if let val = NumberFormatter().number(from: defaults.string(forKey: "MarkerSize")!)?.doubleValue
{
rtabmap!.setMappingParameter(key: "Marker/Length", value: String(format: "%f", val/100.0))
@@ -1399,16 +1573,17 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
let bgColor = defaults.float(forKey: "BackgroundColor");
rtabmap!.setBackgroundColor(gray: bgColor);
let format = defaults.string(forKey: "ExportPointCloudFormat")!;
DispatchQueue.main.async {
self.statusLabel.textColor = bgColor>=0.6 ? UIColor(white: 0.0, alpha: 1) : UIColor(white: 1.0, alpha: 1)
self.exportOBJPLYButton.setTitle("Export OBJ-\(format == "las" ? "LAS" : "PLY")", for: .normal)
}
rtabmap!.setClusterRatio(value: defaults.float(forKey: "NoiseFilteringRatio"));
rtabmap!.setMaxGainRadius(value: defaults.float(forKey: "ColorCorrectionRadius"));
rtabmap!.setRenderingTextureDecimation(value: defaults.integer(forKey: "TextureResolution"));
rtabmap!.setMetricSystem(defaults.integer(forKey: "MeasuringUnits") == 0);
rtabmap!.setMeasuringTextSize(defaults.float(forKey: "MeasuringTextSize"));
if(locationManager != nil && !defaults.bool(forKey: "SaveGPS"))
{
locationManager?.stopUpdatingLocation()
@@ -1717,6 +1892,7 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
let optimizedColorRadius = defaults.float(forKey: "ColorRadius")
let optimizedCleanWhitePolygons = defaults.bool(forKey: "CleanMesh")
let optimizedMinClusterSize = defaults.integer(forKey: "PolygonFiltering")
let textureVertexColorPolicy = defaults.integer(forKey: "TextureVertexColorPolicy")
let blockRendering = false
var indicator: UIActivityIndicatorView?
@@ -1739,6 +1915,8 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
}))
let previousState = mState
updateState(state: .STATE_PROCESSING);
present(alertView, animated: true, completion: {
@@ -1750,6 +1928,8 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
self.progressView!.tintColor = self.view.tintColor
alertView.view.addSubview(self.progressView!)
self.progressStatusUpdate() // This will update memory usage during post processing
var success : Bool = false
DispatchQueue.background(background: {
@@ -1769,6 +1949,7 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
optimizedMinClusterSize: optimizedMinClusterSize,
optimizedMaxTextureDistance: maxTextureDistance,
optimizedMinTextureClusterSize: minTextureClusterSize,
textureVertexColorPolicy: textureVertexColorPolicy,
blockRendering: blockRendering)
}, completion:{
@@ -1789,14 +1970,17 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
if(!meshing)
{
self.visualizationType = 0;
self.setMeshRendering(viewMode: 0)
}
else if(!isOBJ)
{
self.visualizationType = 1;
self.setMeshRendering(viewMode: 1)
}
else // isOBJ
{
self.visualizationType = 2;
self.setMeshRendering(viewMode: 2)
}
@@ -1804,7 +1988,10 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
self.rtabmap!.postExportation(visualize: true)
self.setGLCamera(type: 2)
if previousState != .STATE_VISUALIZING
{
self.setGLCamera(type: 2)
}
if self.openedDatabasePath == nil
{
@@ -1856,6 +2043,8 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
self.progressView!.tintColor = self.view.tintColor
alertView.view.addSubview(self.progressView!)
self.progressStatusUpdate() // This will update memory usage during post processing
var loopDetected : Int = -1
DispatchQueue.background(background: {
loopDetected = self.rtabmap!.postProcessing(approach: approach);
@@ -1898,7 +2087,7 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
})
}
func stopMapping(ignoreSaving: Bool)
func stopMapping(ignoreSaving: Bool, offerPostProcessing: Bool = true)
{
session.pause()
locationManager?.stopUpdatingLocation()
@@ -1913,11 +2102,11 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
{
self.rtabmap?.setLocalizationMode(enabled: false)
}
updateState(state: mState == .STATE_VISUALIZING_CAMERA ? .STATE_VISUALIZING : .STATE_IDLE);
updateState(state: mState == .STATE_VISUALIZING_CAMERA || mState == .STATE_VISUALIZING_AND_MEASURING ? .STATE_VISUALIZING : .STATE_IDLE);
if !ignoreSaving
{
if(mDataRecording)
if(mDataRecording || !offerPostProcessing)
{
// Go directly to save
self.save()
@@ -2013,6 +2202,7 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
}
else {
if(status >= 1 && status<=3) {
self.visualizationType = status-1;
self.updateState(state: .STATE_VISUALIZING);
self.resetNoTouchTimer(true);
}
@@ -2108,10 +2298,10 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
if textField.text != "" {
self.dismiss(animated: true)
//Read TextFields text data
let fileName = textField.text!+".zip"
let fileName = textField.text! + (self.exportOBJPLYButton.title(for: .normal)!.contains("LAZ") ? ".laz" : ".zip")
let filePath = self.getDocumentDirectory().appendingPathComponent(fileName).path
if FileManager.default.fileExists(atPath: filePath) {
let alert = UIAlertController(title: "File Already Exists", message: "Do you want to overwrite the existing file?", preferredStyle: .alert)
let alert = UIAlertController(title: "File Already Exists", message: "\(fileName) already exists, do you want to overwrite it?", preferredStyle: .alert)
let yes = UIAlertAction(title: "Yes", style: .default) {
(UIAlertAction) -> Void in
self.writeExportedFiles(fileName: textField.text!);
@@ -2158,7 +2348,9 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
func writeExportedFiles(fileName: String)
{
let alertView = UIAlertController(title: "Exporting", message: "Please wait while zipping data to \(fileName+".zip")...", preferredStyle: .alert)
let isLAZ = self.visualizationType==0 && self.exportOBJPLYButton.title(for: .normal)!.contains("LAZ")
let alertView = UIAlertController(title: "Exporting", message: "Please wait while exporting data to \(fileName+(isLAZ ? ".laz" : ".zip"))...", preferredStyle: .alert)
alertView.addAction(UIAlertAction(title: "Cancel", style: .cancel, handler: { _ in
self.dismiss(animated: true)
self.progressView = nil
@@ -2205,13 +2397,34 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
let fileURLs = try FileManager.default.contentsOfDirectory(at: exportDir, includingPropertiesForKeys: nil)
if(!fileURLs.isEmpty)
{
do {
zipFileUrl = try Zip.quickZipFiles(fileURLs, fileName: fileName) // Zip
print("Zip file \(zipFileUrl.path) created (size=\(zipFileUrl.fileSizeString)")
success = true
if(isLAZ)
{
zipFileUrl = self.getDocumentDirectory().appendingPathComponent(fileName+".laz")
do {
if FileManager.default.fileExists(atPath: zipFileUrl.path)
{
try FileManager.default.removeItem(at: zipFileUrl)
}
try FileManager.default.moveItem(at: fileURLs.first!, to: zipFileUrl)
print("LAZ file \(zipFileUrl.path) created (size=\(zipFileUrl.fileSizeString)")
success = true
}
catch
{
print("Failed moving \(fileURLs.first!) to \(zipFileUrl.path)")
return
}
}
catch {
print("Something went wrong while zipping")
else
{
do {
zipFileUrl = try Zip.quickZipFiles(fileURLs, fileName: fileName) // Zip
print("Zip file \(zipFileUrl.path) created (size=\(zipFileUrl.fileSizeString)")
success = true
}
catch {
print("Something went wrong while zipping")
}
}
}
} catch {
@@ -2227,7 +2440,7 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
}
if(success)
{
let alertShare = UIAlertController(title: "Mesh/Cloud Saved!", message: "\(fileName+".zip") (\(zipFileUrl.fileSizeString) successfully exported in Documents of RTAB-Map! Share it?", preferredStyle: .alert)
let alertShare = UIAlertController(title: "Mesh/Cloud Saved!", message: "\(fileName+(isLAZ ? ".laz" : ".zip")) (\(zipFileUrl.fileSizeString) successfully exported in Documents of RTAB-Map! Share it?", preferredStyle: .alert)
let alertActionYes = UIAlertAction(title: "Yes", style: .default) {
(UIAlertAction) -> Void in
self.shareFile(zipFileUrl)
@@ -2313,6 +2526,7 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
@IBAction func recordAction(_ sender: UIButton) {
rtabmap?.setPausedMapping(paused: false);
lowMemoryWarningShown = false
updateState(state: .STATE_MAPPING)
}
@@ -2344,6 +2558,26 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
rtabmap!.setOrthoCropFactor(Float(120-sender.value)/20.0 - 3.0)
self.view.setNeedsDisplay()
}
@IBAction func removeMeasureAction(_ sender: UIButton) {
self.rtabmap!.removeMeasure()
}
@IBAction func addMeasureAction(_ sender: UIButton) {
self.rtabmap!.addMeasureButtonClicked()
}
@IBAction func teleportButtonAction(_ sender: UIButton) {
self.rtabmap!.teleportButtonClicked()
}
func clearMeasures()
{
self.rtabmap!.clearMeasures()
self.resetNoTouchTimer(true)
}
@IBAction func startMeasuring(_ sender: UIButton) {
self.setGLCamera(type: 0)
self.updateState(state: .STATE_VISUALIZING_AND_MEASURING)
self.startCamera()
}
}
func clearBackgroundColor(of view: UIView) {
+106 -63
View File
@@ -2,7 +2,7 @@
set -euxo pipefail
# Tested on Apple Silicon Mac, with cmake 3.19.2.
# Tested on Apple Silicon Mac, with cmake 4.0.2, XCode 16.3.
mkdir -p Libraries
cd Libraries
@@ -28,41 +28,65 @@ sysroot=iphoneos
# Boost
if [ ! -e $prefix/include/boost ]
then
if [ ! -e boost_1_59_0 ]
if [ ! -e boost-1.88.0 ]
then
echo "wget boost..."
curl -L https://downloads.sourceforge.net/project/boost/boost/1.59.0/boost_1_59_0.tar.gz -o boost_1_59_0.tar.gz
tar -xzf boost_1_59_0.tar.gz
curl -L https://github.com/boostorg/boost/releases/download/boost-1.88.0/boost-1.88.0-cmake.tar.gz -o boost-1.88.0-cmake.tar.gz
tar -xzf boost-1.88.0-cmake.tar.gz
fi
cd boost_1_59_0
curl -L https://gist.github.com/matlabbe/0bce8feeb73a499a76afbbcc5c687221/raw/489ff2869eccd6f8d03ffb9090ef839108762741/BoostConfig.cmake.in -o BoostConfig.cmake.in
curl -L https://gist.github.com/matlabbe/0bce8feeb73a499a76afbbcc5c687221/raw/b07fe7d4e5dfe5f1d110c733e5cf660d79a26378/CMakeLists.txt -o CMakeLists.txt
cd boost-1.88.0
mkdir -p build
cd build
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix ..
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix -DBOOST_INCOMPATIBLE_LIBRARIES="process;context;coroutine;fiber;fiber_numa;log_setup;log;cobalt" -DBOOST_IOSTREAMS_ENABLE_ZLIB=OFF -DBOOST_IOSTREAMS_ENABLE_BZIP2=OFF ..
cmake --build . --config Release
cmake --build . --config Release --target install
cd $pwd
#rm -r boost_1_59_0.tar.gz boost_1_59_0
#rm -r boost-1.88.0-cmake.tar.gz boost-1.88.0
fi
# eigen
if [ ! -e $prefix/include/eigen3 ]
then
if [ ! -e eigen-3.3.9 ]
if [ ! -e eigen-3.4.0 ]
then
echo "wget eigen..."
curl -L https://gitlab.com/libeigen/eigen/-/archive/3.3.9/eigen-3.3.9.tar.gz -o 3.3.9.tar.gz
tar -xzf 3.3.9.tar.gz
curl -L https://gitlab.com/libeigen/eigen/-/archive/3.4.0/eigen-3.4.0.tar.gz -o 3.4.0.tar.gz
tar -xzf 3.4.0.tar.gz
fi
cd eigen-3.3.9
cd eigen-3.4.0
mkdir -p build
cd build
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix ..
cmake --build . --config Release
cmake --build . --config Release --target install
cd $pwd
#rm -r 3.3.9.tar.gz eigen-3.3.9
#rm -r 3.4.0.tar.gz eigen-3.4.0
fi
# lz4 (required by flann)
if [ ! -e $prefix/include/lz4.h ]
then
if [ ! -e lz4 ]
then
echo "wget lz4..."
git clone https://github.com/lz4/lz4.git -b v1.10.0
fi
cd lz4
if [ ! -e LZ4Config.cmake.in ]
then
curl -L https://gist.githubusercontent.com/matlabbe/abd0242305c29495bbba26065269daf2/raw/ad0b1865c02e61449f58358fdc4ddbed3cb5fb87/LZ4Config.cmake.in -o LZ4Config.cmake.in
fi
if [ ! -e CMakeLists.txt ]
then
curl -L https://gist.githubusercontent.com/matlabbe/abd0242305c29495bbba26065269daf2/raw/ad0b1865c02e61449f58358fdc4ddbed3cb5fb87/CMakeLists.txt -o CMakeLists.txt
fi
mkdir -p build
cd build
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix ..
cmake --build . --config Release -- CODE_SIGN_IDENTITY="" CODE_SIGNING_REQUIRED="NO" CODE_SIGN_ENTITLEMENTS="" CODE_SIGNING_ALLOWED="NO"
cmake --build . --config Release --target install -- CODE_SIGN_IDENTITY="" CODE_SIGNING_REQUIRED="NO" CODE_SIGN_ENTITLEMENTS="" CODE_SIGNING_ALLOWED="NO"
cd $pwd
#rm -r lz4
fi
# FLANN
@@ -71,19 +95,17 @@ then
if [ ! -e flann ]
then
echo "wget flann..."
git clone https://github.com/flann-lib/flann.git -b 1.8.4
git clone https://github.com/flann-lib/flann.git -b 1.9.2
fi
cd flann
if [ ! -e flann_ios.patch ]
if [ ! -e flann_ios_lz4.patch ]
then
curl -L https://gist.githubusercontent.com/matlabbe/c858ba36fb85d5e44d8667dfb3543e12/raw/8fc40aa9bc3267604869444020476a49f14ab424/flann_ios.patch -o flann_ios.patch
git apply flann_ios.patch
curl -L https://gist.githubusercontent.com/matlabbe/c858ba36fb85d5e44d8667dfb3543e12/raw/2586a356dec2b11440ec3c1bb113e709e1266d97/flann_ios_lz4.patch -o flann_ios_lz4.patch
git apply flann_ios_lz4.patch
fi
mkdir -p build
cd build
# comment "add_subdirectory( test )" in top CMakeLists.txt
# comment "add_subdirectory( doc )" in top CMakeLists.txt
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix -DBUILD_PYTHON_BINDINGS=OFF -DBUILD_MATLAB_BINDINGS=OFF -DBUILD_C_BINDINGS=OFF ..
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix -DBUILD_PYTHON_BINDINGS=OFF -DBUILD_MATLAB_BINDINGS=OFF -DBUILD_C_BINDINGS=OFF -DBUILD_EXAMPLES=OFF -DBUILD_TESTS=OFF -DBUILD_DOC=OFF -DUSE_OPENMP=OFF -DLZ4_DIR=$prefix/lib/lz4 ..
cmake --build . --config Release -- CODE_SIGN_IDENTITY="" CODE_SIGNING_REQUIRED="NO" CODE_SIGN_ENTITLEMENTS="" CODE_SIGNING_ALLOWED="NO"
cmake --build . --config Release --target install -- CODE_SIGN_IDENTITY="" CODE_SIGNING_REQUIRED="NO" CODE_SIGN_ENTITLEMENTS="" CODE_SIGNING_ALLOWED="NO"
cd $pwd
@@ -95,17 +117,14 @@ if [ ! -e $prefix/include/gtsam ]
then
if [ ! -e gtsam ]
then
git clone https://bitbucket.org/gtborg/gtsam.git
cd gtsam
git checkout fbb9d3bdda8b88df51896bc401bfd170573e66f5
else
cd gtsam
git clone https://github.com/borglab/gtsam.git -b 4.2
fi
cd gtsam
# patch
if [ ! -e gtsam_GKlib_ios_fix.patch ]
if [ ! -e gtsam_4_2_ios.patch ]
then
curl -L https://gist.github.com/matlabbe/76d658dddb841b3355ae3a6e32850cd8/raw/7033cba1c89097b0c830651d7277c04dc92cbdd9/gtsam_GKlib_ios_fix.patch -o gtsam_GKlib_ios_fix.patch
git apply gtsam_GKlib_ios_fix.patch
curl -L https://gist.githubusercontent.com/matlabbe/76d658dddb841b3355ae3a6e32850cd8/raw/e7355348c2d536ec50f41effa775ed251ae4e045/gtsam_4_2_ios.patch -o gtsam_4_2_ios.patch
git apply gtsam_4_2_ios.patch
fi
mkdir -p build
cd build
@@ -116,22 +135,36 @@ cd $pwd
#rm -rf gtsam
fi
# suitesparse (dependency of g2o)
if [ ! -e $prefix/include/suitesparse/SuiteSparse_config.h ]
then
if [ ! -e SuiteSparse ]
then
git clone https://github.com/DrTimothyAldenDavis/SuiteSparse.git -b v7.6.1
fi
cd SuiteSparse
mkdir -p build
cd build
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix -DCMAKE_FIND_ROOT_PATH=$prefix -DSUITESPARSE_USE_OPENMP=OFF -DSUITESPARSE_ENABLE_PROJECTS="cholmod;cxsparse;spqr" ..
cmake --build . --config Release -- CODE_SIGN_IDENTITY="" CODE_SIGNING_REQUIRED="NO" CODE_SIGN_ENTITLEMENTS="" CODE_SIGNING_ALLOWED="NO"
cmake --build . --config Release --target install -- CODE_SIGN_IDENTITY="" CODE_SIGNING_REQUIRED="NO" CODE_SIGN_ENTITLEMENTS="" CODE_SIGNING_ALLOWED="NO"
cd $pwd
fi
# g2o
if [ ! -e $prefix/include/g2o ]
then
if [ ! -e g2o ]
then
git clone https://github.com/RainerKuemmerle/g2o.git
cd g2o
git checkout a3f7706bdbb849b2808dc3e1b7aee189f63b498e
else
cd g2o
git clone https://github.com/RainerKuemmerle/g2o.git -b 20241228_git
fi
cd g2o
# patch
if [ ! -e g2o_ios_fix.patch ]
if [ ! -e g2o_20241228_ios.patch ]
then
curl -L https://gist.github.com/matlabbe/b9ccfeae8f0744b275cab23510872680/raw/a58e06accba3976420d4b61341685c123193810e/g2o_ios_fix.patch -o g2o_ios_fix.patch
git apply g2o_ios_fix.patch
ls
curl -L https://gist.githubusercontent.com/matlabbe/b9ccfeae8f0744b275cab23510872680/raw/6fe2ffe5ba8fba59171adbd2f38f9c3999c61f75/g2o_20241228_ios.patch -o g2o_20241228_ios.patch
git apply g2o_20241228_ios.patch
fi
mkdir -p build
cd build
@@ -149,11 +182,10 @@ if [ ! -e VTK ]
then
git clone https://github.com/Kitware/VTK.git
cd VTK
git checkout tags/v8.2.0
git checkout tags/v9.5.0.rc1
else
cd VTK
fi
git cherry-pick bf3ae8072df2393c7270509bae41be0776826346
mkdir -p build
cd build
cmake -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_FRAMEWORK_INSTALL_PREFIX=$prefix/lib -DIOS_DEVICE_ARCHITECTURES="arm64" -DIOS_SIMULATOR_ARCHITECTURES="" -DBUILD_EXAMPLES=OFF -DBUILD_TESTING=OFF -DVTK_IOS_BUILD=ON -DModule_vtkFiltersModeling=ON ..
@@ -163,26 +195,28 @@ cd $pwd
#rm -rf VTK
fi
# PCL
if [ ! -e $prefix/include/pcl-1.11 ]
if [ ! -e $prefix/include/pcl-1.15 ]
then
if [ ! -e pcl ]
then
git clone https://github.com/PointCloudLibrary/pcl.git
cd pcl
git checkout tags/pcl-1.11.1
git checkout tags/pcl-1.15.0
else
cd pcl
fi
# patch
if [ ! -e pcl_1_11_1_vtk_ios_support.patch ]
if [ ! -e pcl_1_15_0_ios.patch ]
then
curl -L https://gist.github.com/matlabbe/f3ba9366eb91e1b855dadd2ddce5746d/raw/6869cf26211ab15492599e557b0e729b23b2c119/pcl_1_11_1_vtk_ios_support.patch -o pcl_1_11_1_vtk_ios_support.patch
git apply pcl_1_11_1_vtk_ios_support.patch
curl -L https://gist.githubusercontent.com/matlabbe/f3ba9366eb91e1b855dadd2ddce5746d/raw/7231688d7fb9e86df72ca7c5f355d6b9727205d5/pcl_1_15_0_ios.patch -o pcl_1_15_0_ios.patch
git apply pcl_1_15_0_ios.patch
fi
mkdir -p build
cd build
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix -DBUILD_apps=OFF -DBUILD_examples=OFF -DBUILD_tools=OFF -DBUILD_visualization=OFF -DBUILD_tracking=OFF -DBUILD_people=OFF -DBUILD_global_tests=OFF -DWITH_QT=OFF -DWITH_OPENGL=OFF -DWITH_VTK=ON -DPCL_SHARED_LIBS=OFF -DPCL_ENABLE_SSE=OFF -DCMAKE_FIND_ROOT_PATH=$prefix ..
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix -DBUILD_apps=OFF -DBUILD_examples=OFF -DBUILD_tools=OFF -DBUILD_visualization=OFF -DBUILD_tracking=OFF -DBUILD_people=OFF -DBUILD_recognition=OFF -DBUILD_global_tests=OFF -DWITH_QT=OFF -DWITH_OPENGL=OFF -DWITH_OPENMP=OFF -DWITH_VTK=ON -DPCL_FLANN_REQUIRED_TYPE=STATIC -DPCL_SHARED_LIBS=OFF -DPCL_ENABLE_SSE=OFF -DCMAKE_FIND_ROOT_PATH=$prefix ..
cmake --build . --config Release
cmake --build . --config Release --target install
cd $pwd
@@ -190,38 +224,46 @@ cd $pwd
fi
# OpenCV
if [ ! -e $prefix/include/opencv2 ]
if [ ! -e $prefix/include/opencv4 ]
then
if [ ! -e opencv_contrib ]
then
git clone https://github.com/opencv/opencv_contrib.git
cd opencv_contrib
git checkout tags/3.4.2
git clone https://github.com/opencv/opencv_contrib.git -b 4.11.0
fi
cd $pwd
if [ ! -e opencv ]
then
git clone https://github.com/opencv/opencv.git
cd opencv
git checkout tags/3.4.2
else
cd opencv
fi
if [ ! -e opencv_ios.patch ]
then
curl -L https://gist.githubusercontent.com/matlabbe/fdc3ab4854f3a68fbde7277f543b4e5b/raw/f340839c09165056d3845645df24b76507542fd2/opencv_ios.patch -o opencv_ios.patch
git apply opencv_ios.patch
git clone https://github.com/opencv/opencv.git -b 4.11.0
fi
cd opencv
mkdir -p build
cd build
# add "add_definitions(-DPNG_ARM_NEON_OPT=0)" in 3rdparty/libpng/CMakeLists.txt
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix -DOPENCV_EXTRA_MODULES_PATH=$prefix/opencv_contrib/modules -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=OFF -DWITH_CUDA=OFF -DBUILD_opencv_apps=OFF -DBUILD_opencv_xobjdetect=OFF -DBUILD_opencv_stereo=OFF ..
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix -DOPENCV_EXTRA_MODULES_PATH=$prefix/opencv_contrib/modules -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=OFF -DWITH_CUDA=OFF -DWITH_WEBP=OFF -DWITH_OPENEXR=OFF -DBUILD_opencv_apps=OFF -DBUILD_opencv_xobjdetect=OFF -DBUILD_opencv_stereo=OFF -DOPENCV_ENABLE_NONFREE=ON ..
cmake --build . --config Release
cmake --build . --config Release --target install
cd $pwd
#rm -rf opencv opencv_contrib
fi
# LAZ (dependency for liblas)
# LAS
if [ ! -e $prefix/include/laszip ]
then
if [ ! -e LASzip ]
then
git clone https://github.com/LASzip/LASzip.git -b 2.0.1
fi
cd LASzip
sed -i '' 's/cmake_minimum_required(VERSION 2.6.0)/cmake_minimum_required(VERSION 3.5)/g' CMakeLists.txt
sed -i '' 's/add_subdirectory(tools)/#add_subdirectory(tools)/g' CMakeLists.txt
mkdir -p build
cd build
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix -DCMAKE_FIND_ROOT_PATH=$prefix -DBUILD_STATIC=ON ..
cmake --build . --config Release -- CODE_SIGN_IDENTITY="" CODE_SIGNING_REQUIRED="NO" CODE_SIGN_ENTITLEMENTS="" CODE_SIGNING_ALLOWED="NO"
cmake --build . --config Release --target install -- CODE_SIGN_IDENTITY="" CODE_SIGNING_REQUIRED="NO" CODE_SIGN_ENTITLEMENTS="" CODE_SIGNING_ALLOWED="NO"
cd $pwd
fi
# LAS
if [ ! -e $prefix/include/liblas ]
then
@@ -230,10 +272,11 @@ then
git clone https://github.com/libLAS/libLAS.git
fi
cd libLAS
sed -i '' 's/cmake_minimum_required(VERSION 2.8.11)/cmake_minimum_required(VERSION 3.5)/g' CMakeLists.txt
sed -i '' 's/SHARED/STATIC/g' src/CMakeLists.txt
mkdir -p build
cd build
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix -DCMAKE_FIND_ROOT_PATH=$prefix -DWITH_UTILITIES=OFF -DWITH_TESTS=OFF -DWITH_GEOTIFF=OFF ..
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix -DCMAKE_FIND_ROOT_PATH=$prefix -DWITH_UTILITIES=OFF -DWITH_TESTS=OFF -DWITH_GEOTIFF=OFF -DWITH_LASZIP=ON -DWITH_STATIC_LASZIP=ON ..
cmake --build . --config Release -- CODE_SIGN_IDENTITY="" CODE_SIGNING_REQUIRED="NO" CODE_SIGN_ENTITLEMENTS="" CODE_SIGNING_ALLOWED="NO"
cmake --build . --config Release --target install -- CODE_SIGN_IDENTITY="" CODE_SIGNING_REQUIRED="NO" CODE_SIGN_ENTITLEMENTS="" CODE_SIGNING_ALLOWED="NO"
cd $pwd
@@ -245,6 +288,6 @@ cmake -DANDROID_PREBUILD=ON ../../../../..
cmake --build . --config Release
mkdir -p ios
cd ios
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix -DCMAKE_FIND_ROOT_PATH=$prefix -DWITH_QT=OFF -DBUILD_APP=OFF -DBUILD_TOOLS=OFF -DWITH_TORO=OFF -DWITH_VERTIGO=OFF -DWITH_MADGWICK=OFF -DWITH_ORB_OCTREE=OFF -DBUILD_EXAMPLES=OFF -DWITH_LIBLAS=ON ../../../../../..
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix -DCMAKE_FIND_ROOT_PATH=$prefix -DWITH_QT=OFF -DBUILD_APP=OFF -DBUILD_TOOLS=OFF -DWITH_TORO=OFF -DWITH_VERTIGO=OFF -DWITH_MADGWICK=OFF -DWITH_ORB_OCTREE=ON -DBUILD_EXAMPLES=OFF -DWITH_LIBLAS=ON ../../../../../..
cmake --build . --config Release
cmake --build . --config Release --target install
+40
View File
@@ -0,0 +1,40 @@
/*This is a generated file...*/
#ifndef TEXT_ATLAS_PNG_H
#define TEXT_ATLAS_PNG_H
namespace rtabmap
{
static const char * TEXT_ATLAS_PNG =
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"0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000D629FF0F4A0CD12A5E549F170000000049454E44AE426082";
}
#endif //TEXT_ATLAS_PNG_H
+30
View File
@@ -320,6 +320,34 @@
<key>DefaultValue</key>
<true/>
</dict>
<dict>
<key>Type</key>
<string>PSGroupSpecifier</string>
<key>FooterText</key>
<string>Standard OBJ format has colorless polygons where there is no texture. This policy can add color to vertex when exporting the OBJ.</string>
</dict>
<dict>
<key>Type</key>
<string>PSMultiValueSpecifier</string>
<key>Title</key>
<string>Texture Vertex Color Policy</string>
<key>Key</key>
<string>TextureVertexColorPolicy</string>
<key>DefaultValue</key>
<integer>0</integer>
<key>Titles</key>
<array>
<string>Colorless (standard OBJ)</string>
<string>Keep color only on textureless polygons</string>
<string>Keep all color</string>
</array>
<key>Values</key>
<array>
<integer>0</integer>
<integer>1</integer>
<integer>2</integer>
</array>
</dict>
<dict>
<key>Type</key>
<string>PSGroupSpecifier</string>
@@ -365,11 +393,13 @@
<array>
<string>PLY</string>
<string>LAS</string>
<string>LAZ</string>
</array>
<key>Values</key>
<array>
<string>ply</string>
<string>las</string>
<string>laz</string>
</array>
</dict>
</array>
+134 -6
View File
@@ -58,7 +58,7 @@
<key>Type</key>
<string>PSGroupSpecifier</string>
<key>FooterText</key>
<string>Choosing between high and low depth confidence depends on the application. If precise geometry is critical, prioritize high depth confidence even if it means fewer points. If you need a dense point cloud for analysis, even in areas with weak LiDAR signal, a lower depth confidence might be suitable at the cost of highly interpolated points (that could give a wavy look of some surfaces). Important: the points with too low confidence are not saved in the db file, so we cannot recover or filter these points in post-processing.</string>
<string>Choosing between high and low depth confidence depends on the application. If precise geometry is critical, prioritize high depth confidence even if it means fewer points. If you need a dense point cloud for analysis, even in areas with weak LiDAR signal, a lower depth confidence might be suitable at the cost of highly interpolated points (that could give a wavy look of some surfaces). Note: it is possible to change confidence level in post-processing.</string>
</dict>
<dict>
<key>DefaultValue</key>
@@ -86,7 +86,7 @@
<key>Type</key>
<string>PSGroupSpecifier</string>
<key>FooterText</key>
<string>Smooth the point clouds.</string>
<string>Smooth the point clouds. Note that this can be changed in post-processing.</string>
</dict>
<dict>
<key>Type</key>
@@ -98,6 +98,44 @@
<key>DefaultValue</key>
<false/>
</dict>
<dict>
<key>Type</key>
<string>PSGroupSpecifier</string>
<key>FooterText</key>
<string>Filter interpolated depth pixels between foreground and background objects. Note that values can be changed in post-processing.</string>
</dict>
<dict>
<key>Type</key>
<string>PSMultiValueSpecifier</string>
<key>Title</key>
<string>Depth Bleeding Filter Error</string>
<key>Key</key>
<string>DepthBleedingError</string>
<key>DefaultValue</key>
<string>0</string>
<key>Titles</key>
<array>
<string>Disabled</string>
<string>2.5 cm</string>
<string>5 cm</string>
<string>10 cm</string>
<string>15 cm</string>
<string>20 cm</string>
<string>25 cm</string>
<string>30 cm</string>
</array>
<key>Values</key>
<array>
<string>0</string>
<string>0.025</string>
<string>0.05</string>
<string>0.10</string>
<string>0.15</string>
<string>0.20</string>
<string>0.25</string>
<string>0.30</string>
</array>
</dict>
<dict>
<key>Type</key>
<string>PSGroupSpecifier</string>
@@ -482,6 +520,14 @@
<key>Titles</key>
<array>
<string>No Limit</string>
<string>5000</string>
<string>4500</string>
<string>4000</string>
<string>3500</string>
<string>3000</string>
<string>2500</string>
<string>2000</string>
<string>1500</string>
<string>1000</string>
<string>900</string>
<string>800</string>
@@ -497,6 +543,14 @@
<key>Values</key>
<array>
<string>0</string>
<string>5000</string>
<string>4500</string>
<string>4000</string>
<string>3500</string>
<string>3000</string>
<string>2500</string>
<string>2000</string>
<string>1500</string>
<string>1000</string>
<string>900</string>
<string>800</string>
@@ -528,6 +582,14 @@
<key>Titles</key>
<array>
<string>No Limit</string>
<string>5000</string>
<string>4500</string>
<string>4000</string>
<string>3500</string>
<string>3000</string>
<string>2500</string>
<string>2000</string>
<string>1500</string>
<string>1000</string>
<string>900</string>
<string>800</string>
@@ -542,6 +604,14 @@
<key>Values</key>
<array>
<string>0</string>
<string>5000</string>
<string>4500</string>
<string>4000</string>
<string>3500</string>
<string>3000</string>
<string>2500</string>
<string>2000</string>
<string>1500</string>
<string>1000</string>
<string>900</string>
<string>800</string>
@@ -558,7 +628,7 @@
<key>Type</key>
<string>PSGroupSpecifier</string>
<key>FooterText</key>
<string>BRIEF features are fast to compute but are not rotation invariant like FREAK. Warning: Changing feature type will automatically reset the map!</string>
<string>BRIEF, FREAK and ORB are binary features, which are fast to compute and use less memory. SURF and SIFT are high dimensional float descriptors (rotation/scale/shear-invariant), so they use more memory and CPU but they are significantly better to detect loop closures in large environments. Warning: Changing feature type will automatically reset the map!</string>
</dict>
<dict>
<key>Type</key>
@@ -571,13 +641,21 @@
<string>6</string>
<key>Titles</key>
<array>
<string>BRIEF</string>
<string>FREAK</string>
<string>SURF</string>
<string>SIFT</string>
<string>GFTT-FREAK</string>
<string>GFTT-BRIEF</string>
<string>GFTT-ORB</string>
<string>ORB-OCTREE</string>
</array>
<key>Values</key>
<array>
<string>6</string>
<string>0</string>
<string>1</string>
<string>5</string>
<string>6</string>
<string>8</string>
<string>10</string>
</array>
</dict>
<dict>
@@ -804,6 +882,56 @@
<key>KeyboardType</key>
<string>NumberPad</string>
</dict>
<dict>
<key>Type</key>
<string>PSGroupSpecifier</string>
<key>FooterText</key>
<string>Maximum range at which the markers are detected. Long range increases the estimated orientation error of the tag, which can then cause bad graph optimization. Using larger tags can improve orientation estimation at longer range.</string>
</dict>
<dict>
<key>Type</key>
<string>PSMultiValueSpecifier</string>
<key>Title</key>
<string>Marker Maximum Range</string>
<key>Key</key>
<string>MarkerMaxRange</string>
<key>DefaultValue</key>
<real>2</real>
<key>Titles</key>
<array>
<string>No Limit</string>
<string>0.5 m</string>
<string>1 m</string>
<string>2 m</string>
<string>3 m</string>
<string>4 m</string>
<string>5 m</string>
<string>6 m</string>
<string>7 m</string>
<string>8 m</string>
<string>9 m</string>
<string>10 m</string>
<string>15 m</string>
<string>20 m</string>
</array>
<key>Values</key>
<array>
<string>0</string>
<real>0.5</real>
<real>1</real>
<real>2</real>
<real>3</real>
<real>4</real>
<real>5</real>
<real>6</real>
<real>7</real>
<real>8</real>
<real>9</real>
<integer>10</integer>
<real>15</real>
<real>20</real>
</array>
</dict>
<dict>
<key>Type</key>
<string>PSGroupSpecifier</string>
+55 -1
View File
@@ -430,6 +430,60 @@
<real>0.01</real>
</array>
</dict>
<dict>
<key>Title</key>
<string>Measuring</string>
<key>Type</key>
<string>PSGroupSpecifier</string>
</dict>
<dict>
<key>DefaultValue</key>
<integer>0</integer>
<key>Key</key>
<string>MeasuringUnits</string>
<key>Title</key>
<string>System of Units</string>
<key>Titles</key>
<array>
<string>Metric</string>
<string>Imperial</string>
</array>
<key>Type</key>
<string>PSMultiValueSpecifier</string>
<key>Values</key>
<array>
<integer>0</integer>
<integer>1</integer>
</array>
</dict>
<dict>
<key>DefaultValue</key>
<real>0.050000000000000003</real>
<key>Key</key>
<string>MeasuringTextSize</string>
<key>Title</key>
<string>Text Size</string>
<key>Titles</key>
<array>
<string>30 cm</string>
<string>25 cm</string>
<string>20 cm</string>
<string>15 cm</string>
<string>10 cm</string>
<string>5 cm</string>
</array>
<key>Type</key>
<string>PSMultiValueSpecifier</string>
<key>Values</key>
<array>
<real>0.29999999999999999</real>
<real>0.25</real>
<real>0.20000000000000001</real>
<real>0.14999999999999999</real>
<real>0.10000000000000001</real>
<real>0.050000000000000003</real>
</array>
</dict>
<dict>
<key>FooterText</key>
<string>Copyright (c) 2010-2024, Mathieu Labbe - IntRoLab - Université de Sherbrooke. All rights reserved.</string>
@@ -440,7 +494,7 @@
</dict>
<dict>
<key>DefaultValue</key>
<string>0.21.8</string>
<string>0.22.0</string>
<key>Key</key>
<string>Version</string>
<key>Title</key>
+1 -1
View File
@@ -184,7 +184,7 @@
#
# ------------------------------------------------------------------------------
cmake_minimum_required( VERSION 2.6.3 )
cmake_minimum_required( VERSION 3.14 )
if( DEFINED CMAKE_CROSSCOMPILING )
# subsequent toolchain loading is not really needed
@@ -30,6 +30,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include "rtabmap/core/rtabmap_core_export.h" // DLL export/import defines
#include <rtabmap/core/rvl_codec.h>
#include <rtabmap/utilite/UThread.h>
#include <opencv2/opencv.hpp>
@@ -86,5 +87,9 @@ cv::Mat RTABMAP_CORE_EXPORT uncompressData(const unsigned char * bytes, unsigned
cv::Mat RTABMAP_CORE_EXPORT compressString(const std::string & str);
std::string RTABMAP_CORE_EXPORT uncompressString(const cv::Mat & bytes);
std::string RTABMAP_CORE_EXPORT compressedDepthFormat(const cv::Mat & bytes);
std::string RTABMAP_CORE_EXPORT compressedDepthFormat(const std::vector<unsigned char> & bytes);
std::string RTABMAP_CORE_EXPORT compressedDepthFormat(const unsigned char * bytes, size_t size);
} /* namespace rtabmap */
#endif /* COMPRESSION_H_ */
+5 -2
View File
@@ -100,7 +100,7 @@ public:
int nodeId,
const std::vector<CameraModel> & models,
const std::vector<StereoCameraModel> & stereoModels);
void updateDepthImage(int nodeId, const cv::Mat & image);
void updateDepthImage(int nodeId, const cv::Mat & image, const std::string & format);
void updateLaserScan(int nodeId, const LaserScan & scan);
public:
@@ -178,6 +178,7 @@ public:
void getWeight(int signatureId, int & weight) const;
void getLastNodeIds(std::set<int> & ids) const;
void getAllNodeIds(std::set<int> & ids, bool ignoreChildren = false, bool ignoreBadSignatures = false, bool ignoreIntermediateNodes = false) const;
void getAllOdomPoses(std::map<int, Transform> & poses, bool ignoreChildren = false, bool ignoreIntermediateNodes = false) const;
void getAllLinks(std::multimap<int, Link> & links, bool ignoreNullLinks = true, bool withLandmarks = false) const;
void getLastNodeId(int & id) const;
void getLastMapId(int & mapId) const;
@@ -242,7 +243,8 @@ protected:
virtual void updateDepthImageQuery(
int nodeId,
const cv::Mat & image) const = 0;
const cv::Mat & image,
const std::string & format) const = 0;
virtual void updateLaserScanQuery(
int nodeId,
@@ -286,6 +288,7 @@ protected:
virtual bool getNodeInfoQuery(int signatureId, Transform & pose, int & mapId, int & weight, std::string & label, double & stamp, Transform & groundTruthPose, std::vector<float> & velocity, GPS & gps, EnvSensors & sensors) const = 0;
virtual void getLastNodeIdsQuery(std::set<int> & ids) const = 0;
virtual void getAllNodeIdsQuery(std::set<int> & ids, bool ignoreChildren, bool ignoreBadSignatures, bool ignoreIntermediateNodes) const = 0;
virtual void getAllOdomPosesQuery(std::map<int, Transform> & poses, bool ignoreChildren, bool ignoreIntermediateNodes) const = 0;
virtual void getAllLinksQuery(std::multimap<int, Link> & links, bool ignoreNullLinks, bool withLandmarks) const = 0;
virtual void getLastIdQuery(const std::string & tableName, int & id, const std::string & fieldName="id") const = 0;
virtual void getInvertedIndexNiQuery(int signatureId, int & ni) const = 0;
@@ -103,7 +103,8 @@ protected:
virtual void updateDepthImageQuery(
int nodeId,
const cv::Mat & image) const;
const cv::Mat & image,
const std::string & format) const;
void updateLaserScanQuery(
int nodeId,
@@ -147,6 +148,7 @@ protected:
virtual bool getNodeInfoQuery(int signatureId, Transform & pose, int & mapId, int & weight, std::string & label, double & stamp, Transform & groundTruthPose, std::vector<float> & velocity, GPS & gps, EnvSensors & sensors) const;
virtual void getLastNodeIdsQuery(std::set<int> & ids) const;
virtual void getAllNodeIdsQuery(std::set<int> & ids, bool ignoreChildren, bool ignoreBadSignatures, bool ignoreIntermediateNodes) const;
virtual void getAllOdomPosesQuery(std::map<int, Transform> & poses, bool ignoreChildren, bool ignoreIntermediateNodes) const;
virtual void getAllLinksQuery(std::multimap<int, Link> & links, bool ignoreNullLinks, bool withLandmarks) const;
virtual void getLastIdQuery(const std::string & tableName, int & id, const std::string & fieldName="id") const;
virtual void getInvertedIndexNiQuery(int signatureId, int & ni) const;
@@ -172,7 +174,7 @@ private:
void stepImage(sqlite3_stmt * ppStmt, int id, const cv::Mat & imageBytes) const;
void stepDepth(sqlite3_stmt * ppStmt, const SensorData & sensorData) const;
void stepCalibrationUpdate(sqlite3_stmt * ppStmt, int nodeId, const std::vector<CameraModel> & models, const std::vector<StereoCameraModel> & stereoModels) const;
void stepDepthUpdate(sqlite3_stmt * ppStmt, int nodeId, const cv::Mat & imageCompressed) const;
void stepDepthUpdate(sqlite3_stmt * ppStmt, int nodeId, const cv::Mat & image, const std::string & format) const;
void stepScanUpdate(sqlite3_stmt * ppStmt, int nodeId, const LaserScan & image) const;
void stepSensorData(sqlite3_stmt * ppStmt, const SensorData & sensorData) const;
void stepLink(sqlite3_stmt * ppStmt, const Link & link) const;
+9 -5
View File
@@ -51,28 +51,30 @@ public:
bool ignoreGoalDelay = false,
bool goalsIgnored = false,
int startId = 0,
int cameraIndex = -1,
const std::vector<unsigned int> & cameraIndices = std::vector<unsigned int>(),
int stopId = 0,
bool intermediateNodesIgnored = false,
bool landmarksIgnored = false,
bool featuresIgnored = false,
int startMapId = 0,
int stopMapId = -1,
bool priorsIgnored = false);
bool priorsIgnored = false,
const std::vector<Transform> & cameraLocalTransformOverrides = std::vector<Transform>());
DBReader(const std::list<std::string> & databasePaths,
float frameRate = 0.0f, // -1 = use Database stamps, 0 = inf
bool odometryIgnored = false,
bool ignoreGoalDelay = false,
bool goalsIgnored = false,
int startId = 0,
int cameraIndex = -1,
const std::vector<unsigned int> & cameraIndices = std::vector<unsigned int>(),
int stopId = 0,
bool intermediateNodesIgnored = false,
bool landmarksIgnored = false,
bool featuresIgnored = false,
int startMapId = 0,
int stopMapId = -1,
bool priorsIgnored = false);
bool priorsIgnored = false,
const std::vector<Transform> & cameraLocalTransformOverrides = std::vector<Transform>());
virtual ~DBReader();
virtual bool init(
@@ -91,6 +93,7 @@ protected:
private:
SensorData getNextData(SensorCaptureInfo * info = 0);
void checkArguments();
private:
std::list<std::string> _paths;
@@ -99,13 +102,14 @@ private:
bool _goalsIgnored;
int _startId;
int _stopId;
int _cameraIndex;
std::vector<unsigned int> _cameraIndices;
bool _intermediateNodesIgnored;
bool _landmarksIgnored;
bool _featuresIgnored;
bool _priorsIgnored;
int _startMapId;
int _stopMapId;
std::vector<Transform> _cameraLocalTransformOverrides;
DBDriver * _dbDriver;
UTimer _timer;
+2 -1
View File
@@ -115,7 +115,8 @@ Transform RTABMAP_CORE_EXPORT calcRMSE(
float & rotational_median,
float & rotational_std,
float & rotational_min,
float & rotational_max);
float & rotational_max,
bool align2D = false);
void RTABMAP_CORE_EXPORT computeMaxGraphErrors(
const std::map<int, Transform> & poses,
+3
View File
@@ -303,6 +303,7 @@ private:
bool _notLinkedNodesKeptInDb;
bool _saveIntermediateNodeData;
std::string _rgbCompressionFormat;
std::string _depthCompressionFormat;
bool _incrementalMemory;
bool _localizationDataSaved;
bool _reduceGraph;
@@ -314,6 +315,7 @@ private:
bool _badSignaturesIgnored;
bool _mapLabelsAdded;
bool _depthAsMask;
float _maskFloorThreshold;
bool _stereoFromMotion;
unsigned int _imagePreDecimation;
unsigned int _imagePostDecimation;
@@ -341,6 +343,7 @@ private:
bool _detectMarkers;
float _markerLinVariance;
float _markerAngVariance;
bool _markerOrientationIgnored;
int _idCount;
int _idMapCount;
+9 -56
View File
@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2025, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -28,6 +28,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#ifndef ODOMETRYINFO_H_
#define ODOMETRYINFO_H_
#include <rtabmap/core/rtabmap_core_export.h>
#include <map>
#include "rtabmap/core/Transform.h"
#include "rtabmap/core/RegistrationInfo.h"
@@ -37,63 +38,12 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
namespace rtabmap {
class OdometryInfo
class RTABMAP_CORE_EXPORT OdometryInfo
{
public:
OdometryInfo() :
lost(true),
features(0),
localMapSize(0),
localScanMapSize(0),
localKeyFrames(0),
localBundleOutliers(0),
localBundleConstraints(0),
localBundleTime(0),
keyFrameAdded(false),
timeDeskewing(0.0f),
timeEstimation(0.0f),
timeParticleFiltering(0.0f),
stamp(0),
interval(0),
distanceTravelled(0.0f),
memoryUsage(0),
gravityRollError(0.0),
gravityPitchError(0.0),
type(0)
{}
OdometryInfo copyWithoutData() const
{
OdometryInfo output;
output.lost = lost;
output.reg = reg.copyWithoutData();
output.features = features;
output.localMapSize = localMapSize;
output.localScanMapSize = localScanMapSize;
output.localKeyFrames = localKeyFrames;
output.localBundleOutliers = localBundleOutliers;
output.localBundleConstraints = localBundleConstraints;
output.localBundleTime = localBundleTime;
output.localBundlePoses = localBundlePoses;
output.localBundleModels = localBundleModels;
output.keyFrameAdded = keyFrameAdded;
output.timeDeskewing = timeDeskewing;
output.timeEstimation = timeEstimation;
output.timeParticleFiltering = timeParticleFiltering;
output.stamp = stamp;
output.interval = interval;
output.transform = transform;
output.transformFiltered = transformFiltered;
output.transformGroundTruth = transformGroundTruth;
output.guessVelocity = guessVelocity;
output.guess = guess;
output.distanceTravelled = distanceTravelled;
output.memoryUsage = memoryUsage;
output.gravityRollError = gravityRollError;
output.gravityPitchError = gravityPitchError;
output.type = type;
return output;
}
OdometryInfo();
OdometryInfo copyWithoutData() const;
std::map<std::string, float> statistics(const Transform & pose = Transform());
bool lost;
RegistrationInfo reg;
@@ -106,6 +56,9 @@ public:
float localBundleTime;
std::map<int, Transform> localBundlePoses;
std::map<int, std::vector<CameraModel> > localBundleModels;
float localBundleAvgInlierDistance;
int localBundleMaxKeyFramesForInlier;
std::vector<int> localBundleOutliersPerCam;
bool keyFrameAdded;
float timeDeskewing;
float timeEstimation;
@@ -67,8 +67,8 @@ private:
unsigned int _dataBufferMaxSize;
bool _resetOdometry;
Transform _resetPose;
double _lastImuStamp;
double _imuEstimatedDelay;
double _oldestAsyncImuStamp;
double _newestAsyncImuStamp;
};
} // namespace rtabmap
+7 -3
View File
@@ -149,14 +149,16 @@ public:
const std::map<int, Signature> & signatures,
std::map<int, cv::Point3f> & points3DMap,
std::map<int, std::map<int, FeatureBA> > & wordReferences, // <ID words, IDs frames + keypoint/depth/descriptor>
bool rematchFeatures = false);
bool rematchFeatures = false,
const ParametersMap & registrationParameters = ParametersMap());
std::map<int, Transform> optimizeBA(
int rootId,
const std::map<int, Transform> & poses,
const std::multimap<int, Link> & links,
const std::map<int, Signature> & signatures,
bool rematchFeatures = false);
bool rematchFeatures = false,
const ParametersMap & registrationParameters = ParametersMap());
Transform optimizeBA(
const Link & link,
@@ -171,7 +173,9 @@ public:
const std::map<int, Signature> & signatures,
std::map<int, cv::Point3f> & points3DMap,
std::map<int, std::map<int, FeatureBA > > & wordReferences, // <ID words, IDs frames + keypoint/depth/descriptor>
bool rematchFeatures = false);
bool rematchFeatures = false,
bool useLinkTransformAsGuess = false,
ParametersMap registrationParameters = ParametersMap());
protected:
Optimizer(
+12 -3
View File
@@ -209,6 +209,7 @@ class RTABMAP_CORE_EXPORT Parameters
RTABMAP_PARAM(Mem, NotLinkedNodesKept, bool, true, "Keep not linked nodes in db (rehearsed nodes and deleted nodes).");
RTABMAP_PARAM(Mem, IntermediateNodeDataKept, bool, false, "Keep intermediate node data in db.");
RTABMAP_PARAM_STR(Mem, ImageCompressionFormat, ".jpg", "RGB image compression format. It should be \".jpg\" or \".png\".");
RTABMAP_PARAM_STR(Mem, DepthCompressionFormat, ".rvl", "Depth image compression format for 16UC1 depth type. It should be \".png\" or \".rvl\". If depth type is 32FC1, \".png\" is used.");
RTABMAP_PARAM(Mem, STMSize, unsigned int, 10, "Short-term memory size.");
RTABMAP_PARAM(Mem, IncrementalMemory, bool, true, "SLAM mode, otherwise it is Localization mode.");
RTABMAP_PARAM(Mem, LocalizationDataSaved, bool, false, uFormat("Save localization data during localization session (when %s=false). When enabled, the database will then also grow in localization mode. This mode would be used only for debugging purpose.", kMemIncrementalMemory().c_str()).c_str());
@@ -221,6 +222,7 @@ class RTABMAP_CORE_EXPORT Parameters
RTABMAP_PARAM(Mem, BadSignaturesIgnored, bool, false, "Bad signatures are ignored.");
RTABMAP_PARAM(Mem, InitWMWithAllNodes, bool, false, "Initialize the Working Memory with all nodes in Long-Term Memory. When false, it is initialized with nodes of the previous session.");
RTABMAP_PARAM(Mem, DepthAsMask, bool, true, "Use depth image as mask when extracting features for vocabulary.");
RTABMAP_PARAM(Mem, DepthMaskFloorThr, float, 0.0, uFormat("Filter floor from depth mask below specified threshold (m) before extracting features. 0 means disabled, negative means remove all objects above the floor threshold instead. Ignored if %s is false.", kMemDepthAsMask().c_str()));
RTABMAP_PARAM(Mem, StereoFromMotion, bool, false, uFormat("Triangulate features without depth using stereo from motion (odometry). It would be ignored if %s is true and the feature detector used supports masking.", kMemDepthAsMask().c_str()));
RTABMAP_PARAM(Mem, ImagePreDecimation, unsigned int, 1, uFormat("Decimation of the RGB image before visual feature detection. If depth size is larger than decimated RGB size, depth is decimated to be always at most equal to RGB size. If %s is true and if depth is smaller than decimated RGB, depth may be interpolated to match RGB size for feature detection.",kMemDepthAsMask().c_str()));
RTABMAP_PARAM(Mem, ImagePostDecimation, unsigned int, 1, uFormat("Decimation of the RGB image before saving it to database. If depth size is larger than decimated RGB size, depth is decimated to be always at most equal to RGB size. Decimation is done from the original image. If set to same value than %s, data already decimated is saved (no need to re-decimate the image).", kMemImagePreDecimation().c_str()));
@@ -388,6 +390,7 @@ class RTABMAP_CORE_EXPORT Parameters
RTABMAP_PARAM(RGBD, MaxOdomCacheSize, int, 10, uFormat("Maximum odometry cache size. Used only in localization mode (when %s=false). This is used to get smoother localizations and to verify localization transforms (when %s!=0) to make sure we don't teleport to a location very similar to one we previously localized on. Set 0 to disable caching.", kMemIncrementalMemory().c_str(), kRGBDOptimizeMaxError().c_str()));
RTABMAP_PARAM(RGBD, LocalizationSmoothing, bool, true, uFormat("Adjust localization constraints based on optimized odometry cache poses (when %s>0).", kRGBDMaxOdomCacheSize().c_str()));
RTABMAP_PARAM(RGBD, LocalizationPriorError, double, 0.001, uFormat("The corresponding variance (error x error) set to priors of the map's poses during localization (when %s>0).", kRGBDMaxOdomCacheSize().c_str()));
RTABMAP_PARAM(RGBD, LocalizationSecondTryWithoutProximityLinks, bool, true, uFormat("When localization is rejected by graph optimization validation, try a second time without proximity links if landmark or loop closure links are also present in odometry cache (see %s). If it succeeds, the proximity links are removed. This assumes that global loop closure and landmark links are more accurate than proximity links.", kRGBDMaxOdomCacheSize().c_str()));
// Local/Proximity loop closure detection
RTABMAP_PARAM(RGBD, ProximityByTime, bool, false, "Detection over all locations in STM.");
@@ -475,6 +478,8 @@ class RTABMAP_CORE_EXPORT Parameters
// Odometry Frame-to-Map
RTABMAP_PARAM(OdomF2M, MaxSize, int, 2000, "[Visual] Local map size: If > 0 (example 5000), the odometry will maintain a local map of X maximum words.");
RTABMAP_PARAM(OdomF2M, MaxNewFeatures, int, 0, "[Visual] Maximum features (sorted by keypoint response) added to local map from a new key-frame. 0 means no limit.");
RTABMAP_PARAM(OdomF2M, InitDepthFactor, float, 0.05, "[Visual] Depth factor used to initialize depth of features without depth. Depth = Factor * fx.");
RTABMAP_PARAM(OdomF2M, FloorThreshold, float, 0.0, "[Visual] Only track features in 3D feature map that are over this threshold (height in base frame). Can be useful to ignore reflections on the floor. 0 means disabled.");
RTABMAP_PARAM(OdomF2M, ScanMaxSize, int, 2000, "[Geometry] Maximum local scan map size.");
RTABMAP_PARAM(OdomF2M, ScanSubtractRadius, float, 0.05, "[Geometry] Radius used to filter points of a new added scan to local map. This could match the voxel size of the scans.");
RTABMAP_PARAM(OdomF2M, ScanSubtractAngle, float, 45, uFormat("[Geometry] Max angle (degrees) used to filter points of a new added scan to local map (when \"%s\">0). 0 means any angle.", kOdomF2MScanSubtractRadius().c_str()).c_str());
@@ -486,6 +491,9 @@ class RTABMAP_CORE_EXPORT Parameters
RTABMAP_PARAM(OdomF2M, BundleAdjustment, int, 0, "Local bundle adjustment: 0=disabled, 1=g2o, 2=cvsba, 3=Ceres.");
#endif
RTABMAP_PARAM(OdomF2M, BundleAdjustmentMaxFrames, int, 10, "Maximum frames used for bundle adjustment (0=inf or all current frames in the local map).");
RTABMAP_PARAM(OdomF2M, BundleAdjustmentMinMotion, float, 0.0, "To create a new keyframe with bundle adjustment, a minimum motion (in pixels) can be required. The motion is computed by the average distance between inliers of the previous keyframe and new frame.");
RTABMAP_PARAM(OdomF2M, BundleAdjustmentMaxKeyFramesPerFeature, int, 0, "Maximum keyframes per feature for bundle adjustment. 0 means not limit.");
RTABMAP_PARAM(OdomF2M, BundleUpdateFeatureMapOnAllFrames, bool, false, uFormat("Update 3D local feature map on every frame with bundle adjustment. Recommended if %s=false and %s=true so that features without depth are better triangulated on every frame (not only on keyframes). If disabled, the feature map is updated only when a new keyframe is added (legacy approach).", kVisDepthAsMask().c_str(), kMemUseOdomFeatures().c_str()));
// Odometry Mono
RTABMAP_PARAM(OdomMono, InitMinFlow, float, 100, "Minimum optical flow required for the initialization step.");
@@ -671,7 +679,6 @@ class RTABMAP_CORE_EXPORT Parameters
// Visual registration parameters
RTABMAP_PARAM(Vis, EstimationType, int, 1, "Motion estimation approach: 0:3D->3D, 1:3D->2D (PnP), 2:2D->2D (Epipolar Geometry)");
RTABMAP_PARAM(Vis, ForwardEstOnly, bool, true, "Forward estimation only (A->B). If false, a transformation is also computed in backward direction (B->A), then the two resulting transforms are merged (middle interpolation between the transforms).");
RTABMAP_PARAM(Vis, InlierDistance, float, 0.1, uFormat("[%s = 0] Maximum distance for feature correspondences. Used by 3D->3D estimation approach.", kVisEstimationType().c_str()));
RTABMAP_PARAM(Vis, RefineIterations, int, 5, uFormat("[%s = 0] Number of iterations used to refine the transformation found by RANSAC. 0 means that the transformation is not refined.", kVisEstimationType().c_str()));
RTABMAP_PARAM(Vis, PnPReprojError, float, 2, uFormat("[%s = 1] PnP reprojection error.", kVisEstimationType().c_str()));
@@ -703,6 +710,7 @@ class RTABMAP_CORE_EXPORT Parameters
RTABMAP_PARAM(Vis, MaxDepth, float, 0, "Max depth of the features (0 means no limit).");
RTABMAP_PARAM(Vis, MinDepth, float, 0, "Min depth of the features (0 means no limit).");
RTABMAP_PARAM(Vis, DepthAsMask, bool, true, "Use depth image as mask when extracting features.");
RTABMAP_PARAM(Vis, DepthMaskFloorThr, float, 0.0, uFormat("Filter floor from depth mask below specified threshold (m) before extracting features. 0 means disabled, negative means remove all objects above the floor threshold instead. Ignored if %s is false.", kVisDepthAsMask().c_str()));
RTABMAP_PARAM_STR(Vis, RoiRatios, "0.0 0.0 0.0 0.0", "Region of interest ratios [left, right, top, bottom].");
RTABMAP_PARAM(Vis, SubPixWinSize, int, 3, "See cv::cornerSubPix().");
RTABMAP_PARAM(Vis, SubPixIterations, int, 0, "See cv::cornerSubPix(). 0 disables sub pixel refining.");
@@ -875,8 +883,9 @@ class RTABMAP_CORE_EXPORT Parameters
RTABMAP_PARAM(Marker, Dictionary, int, 0, "Dictionary to use: DICT_ARUCO_4X4_50=0, DICT_ARUCO_4X4_100=1, DICT_ARUCO_4X4_250=2, DICT_ARUCO_4X4_1000=3, DICT_ARUCO_5X5_50=4, DICT_ARUCO_5X5_100=5, DICT_ARUCO_5X5_250=6, DICT_ARUCO_5X5_1000=7, DICT_ARUCO_6X6_50=8, DICT_ARUCO_6X6_100=9, DICT_ARUCO_6X6_250=10, DICT_ARUCO_6X6_1000=11, DICT_ARUCO_7X7_50=12, DICT_ARUCO_7X7_100=13, DICT_ARUCO_7X7_250=14, DICT_ARUCO_7X7_1000=15, DICT_ARUCO_ORIGINAL = 16, DICT_APRILTAG_16h5=17, DICT_APRILTAG_25h9=18, DICT_APRILTAG_36h10=19, DICT_APRILTAG_36h11=20");
RTABMAP_PARAM(Marker, Length, float, 0, "The length (m) of the markers' side. 0 means automatic marker length estimation using the depth image (the camera should look at the marker perpendicularly for initialization).");
RTABMAP_PARAM(Marker, MaxDepthError, float, 0.01, uFormat("Maximum depth error between all corners of a marker when estimating the marker length (when %s is 0). The smaller it is, the more perpendicular the camera should be toward the marker to initialize the length.", kMarkerLength().c_str()));
RTABMAP_PARAM(Marker, VarianceLinear, float, 0.001, "Linear variance to set on marker detections.");
RTABMAP_PARAM(Marker, VarianceAngular, float, 0.01, "Angular variance to set on marker detections. Set to >=9999 to use only position (xyz) constraint in graph optimization.");
RTABMAP_PARAM(Marker, VarianceLinear, float, 0.001, uFormat("Linear variance to set on marker detections. If %s is enabled and %s=2 (GTSAM): it is the variance of the range factor, with 9999 to disable range factor and to do only bearing.", kMarkerVarianceOrientationIgnored().c_str(), kOptimizerStrategy().c_str()));
RTABMAP_PARAM(Marker, VarianceAngular, float, 0.01, uFormat("Angular variance to set on marker detections. If %s is enabled, it is ignored with %s=1 (g2o) and it corresponds to bearing variance with %s=2 (GTSAM).", kMarkerVarianceOrientationIgnored().c_str(), kOptimizerStrategy().c_str(), kOptimizerStrategy().c_str()));
RTABMAP_PARAM(Marker, VarianceOrientationIgnored, bool, false, uFormat("When this setting is false, the landmark's orientation is optimized during graph optimization. When this setting is true, only the position of the landmark is optimized. This can be useful when the landmark's orientation estimation is not reliable. Note that for %s=1 (g2o), only %s needs be set if we ignore orientation. For %s=2 (GTSAM), instead of optimizing the landmark's position directly, a bearing/range factor is used, with %s as the variance of the range factor (with 9999 to optimize the position with only a bearing factor) and %s as the variance of the bearing factor (pitch/yaw).", kOptimizerStrategy().c_str(), kMarkerVarianceLinear().c_str(), kOptimizerStrategy().c_str(), kMarkerVarianceLinear().c_str(), kMarkerVarianceAngular().c_str()));
RTABMAP_PARAM(Marker, CornerRefinementMethod, int, 0, "Corner refinement method (0: None, 1: Subpixel, 2:contour, 3: AprilTag2). For OpenCV <3.3.0, this is \"doCornerRefinement\" parameter: set 0 for false and 1 for true.");
RTABMAP_PARAM(Marker, MaxRange, float, 0.0, "Maximum range in which markers will be detected. <=0 for unlimited range.");
RTABMAP_PARAM(Marker, MinRange, float, 0.0, "Miniminum range in which markers will be detected. <=0 for unlimited range.");
@@ -59,9 +59,11 @@ public:
output.covariance = covariance.clone();
output.rejectedMsg = rejectedMsg;
output.inliers = inliers;
output.inliersPerCam = inliersPerCam;
output.inliersMeanDistance = inliersMeanDistance;
output.inliersDistribution = inliersDistribution;
output.matches = matches;
output.matchesPerCam = matchesPerCam;
output.icpInliersRatio = icpInliersRatio;
output.icpTranslation = icpTranslation;
output.icpRotation = icpRotation;
@@ -85,6 +87,8 @@ public:
int matches;
std::vector<int> matchesIDs;
std::vector<int> projectedIDs; // "From" IDs
std::vector<int> inliersPerCam;
std::vector<int> matchesPerCam;
// RegistrationIcp
float icpInliersRatio;
@@ -78,7 +78,6 @@ private:
int _refineIterations;
float _epipolarGeometryVar;
int _estimationType;
bool _forwardEstimateOnly;
float _PnPReprojError;
int _PnPFlags;
int _PnPRefineIterations;
@@ -101,6 +100,7 @@ private:
bool _guessMatchToProjection;
int _bundleAdjustment;
bool _depthAsMask;
float _maskFloorThreshold;
float _minInliersDistributionThr;
float _maxInliersMeanDistance;
+1
View File
@@ -333,6 +333,7 @@ private:
int _maxOdomCacheSize;
bool _localizationSmoothing;
double _localizationPriorInf;
bool _localizationSecondTryWithoutProximityLinks;
bool _createGlobalScanMap;
float _markerPriorsLinearVariance;
float _markerPriorsAngularVariance;
+57 -5
View File
@@ -78,6 +78,16 @@ public:
double stamp = 0.0,
const cv::Mat & userData = cv::Mat());
// RGB-D constructor + depth confidence
SensorData(
const cv::Mat & rgb,
const cv::Mat & depth,
const cv::Mat & depth_confidence,
const CameraModel & cameraModel,
int id = 0,
double stamp = 0.0,
const cv::Mat & userData = cv::Mat());
// RGB-D constructor + laser scan
SensorData(
const LaserScan & laserScan,
@@ -88,6 +98,17 @@ public:
double stamp = 0.0,
const cv::Mat & userData = cv::Mat());
// RGB-D constructor + confidence + laser scan
SensorData(
const LaserScan & laserScan,
const cv::Mat & rgb,
const cv::Mat & depth,
const cv::Mat & depthConfidence,
const CameraModel & cameraModel,
int id = 0,
double stamp = 0.0,
const cv::Mat & userData = cv::Mat());
// Multi-cameras RGB-D constructor
SensorData(
const cv::Mat & rgb,
@@ -97,6 +118,16 @@ public:
double stamp = 0.0,
const cv::Mat & userData = cv::Mat());
// Multi-cameras RGB-D constructor + depth confidence
SensorData(
const cv::Mat & rgb,
const cv::Mat & depth,
const cv::Mat & depthConfidence,
const std::vector<CameraModel> & cameraModels,
int id = 0,
double stamp = 0.0,
const cv::Mat & userData = cv::Mat());
// Multi-cameras RGB-D constructor + laser scan
SensorData(
const LaserScan & laserScan,
@@ -107,6 +138,17 @@ public:
double stamp = 0.0,
const cv::Mat & userData = cv::Mat());
// Multi-cameras RGB-D constructor + depth confidence + laser scan
SensorData(
const LaserScan & laserScan,
const cv::Mat & rgb,
const cv::Mat & depth,
const cv::Mat & depthConfidence,
const std::vector<CameraModel> & cameraModels,
int id = 0,
double stamp = 0.0,
const cv::Mat & userData = cv::Mat());
// Stereo constructor
SensorData(
const cv::Mat & left,
@@ -160,6 +202,8 @@ public:
_imageCompressed.empty() &&
_depthOrRightRaw.empty() &&
_depthOrRightCompressed.empty() &&
_depthConfidenceRaw.empty() &&
_depthConfidenceCompressed.empty() &&
_laserScanRaw.isEmpty() &&
_laserScanCompressed.isEmpty() &&
_cameraModels.empty() &&
@@ -178,10 +222,12 @@ public:
const cv::Mat & imageCompressed() const {return _imageCompressed;}
const cv::Mat & depthOrRightCompressed() const {return _depthOrRightCompressed;}
const cv::Mat & depthConfidenceCompressed() const {return _depthConfidenceCompressed;}
const LaserScan & laserScanCompressed() const {return _laserScanCompressed;}
const cv::Mat & imageRaw() const {return _imageRaw;}
const cv::Mat & depthOrRightRaw() const {return _depthOrRightRaw;}
const cv::Mat & depthConfidenceRaw() const {return _depthConfidenceRaw;}
const LaserScan & laserScanRaw() const {return _laserScanRaw;}
/**
@@ -190,7 +236,9 @@ public:
* @param clearPreviousData, clear previous raw and compressed images before setting the new ones.
*/
void setRGBDImage(const cv::Mat & rgb, const cv::Mat & depth, const CameraModel & model, bool clearPreviousData = true);
void setRGBDImage(const cv::Mat & rgb, const cv::Mat & depth, const cv::Mat & depth_confidence, const CameraModel & model, bool clearPreviousData = true);
void setRGBDImage(const cv::Mat & rgb, const cv::Mat & depth, const std::vector<CameraModel> & models, bool clearPreviousData = true);
void setRGBDImage(const cv::Mat & rgb, const cv::Mat & depth, const cv::Mat & depth_confidence, const std::vector<CameraModel> & models, bool clearPreviousData = true);
void setStereoImage(const cv::Mat & left, const cv::Mat & right, const StereoCameraModel & stereoCameraModel, bool clearPreviousData = true);
void setStereoImage(const cv::Mat & left, const cv::Mat & right, const std::vector<StereoCameraModel> & stereoCameraModels, bool clearPreviousData = true);
@@ -207,8 +255,8 @@ public:
void setStereoCameraModels(const std::vector<StereoCameraModel> & stereoCameraModels) {_stereoCameraModels = stereoCameraModels;}
//for convenience
cv::Mat depthRaw() const {return _depthOrRightRaw.type()!=CV_8UC1?_depthOrRightRaw:cv::Mat();}
cv::Mat rightRaw() const {return _depthOrRightRaw.type()==CV_8UC1?_depthOrRightRaw:cv::Mat();}
cv::Mat depthRaw() const {return !(_depthOrRightRaw.type()==CV_8UC1 || _depthOrRightRaw.type()==CV_8UC3) ? _depthOrRightRaw : cv::Mat();}
cv::Mat rightRaw() const {return _depthOrRightRaw.type()==CV_8UC1 || _depthOrRightRaw.type()==CV_8UC3 ? _depthOrRightRaw : cv::Mat();}
// Use setRGBDImage() or setStereoImage() with clearNotUpdated=false or removeRawData() instead. To be backward compatible, this function doesn't clear compressed data.
RTABMAP_DEPRECATED void setImageRaw(const cv::Mat & image);
@@ -227,7 +275,8 @@ public:
cv::Mat * userDataRaw = 0,
cv::Mat * groundCellsRaw = 0,
cv::Mat * obstacleCellsRaw = 0,
cv::Mat * emptyCellsRaw = 0);
cv::Mat * emptyCellsRaw = 0,
cv::Mat * depthConfidenceRaw = 0);
void uncompressDataConst(
cv::Mat * imageRaw,
cv::Mat * depthOrRightRaw,
@@ -235,7 +284,8 @@ public:
cv::Mat * userDataRaw = 0,
cv::Mat * groundCellsRaw = 0,
cv::Mat * obstacleCellsRaw = 0,
cv::Mat * emptyCellsRaw = 0) const;
cv::Mat * emptyCellsRaw = 0,
cv::Mat * depthConfidenceRaw = 0) const;
const std::vector<CameraModel> & cameraModels() const {return _cameraModels;}
const std::vector<StereoCameraModel> & stereoCameraModels() const {return _stereoCameraModels;}
@@ -327,10 +377,12 @@ private:
cv::Mat _imageCompressed; // compressed image
cv::Mat _depthOrRightCompressed; // compressed image
cv::Mat _depthConfidenceCompressed; // compressed data
LaserScan _laserScanCompressed; // compressed data
cv::Mat _imageRaw; // CV_8UC1 or CV_8UC3
cv::Mat _depthOrRightRaw; // depth CV_16UC1 or CV_32FC1, right image CV_8UC1
cv::Mat _depthOrRightRaw; // depth CV_16UC1 or CV_32FC1, right image CV_8UC1 or CV_8UC3
cv::Mat _depthConfidenceRaw; // CV_8UC1
LaserScan _laserScanRaw;
std::vector<CameraModel> _cameraModels;
@@ -81,6 +81,7 @@ class RTABMAP_CORE_EXPORT Statistics
RTABMAP_STATS(Loop, Landmark_detected_node_ref,);
RTABMAP_STATS(Loop, Visual_inliers_mean_dist,m);
RTABMAP_STATS(Loop, Visual_inliers_distribution,);
RTABMAP_STATS(Loop, Proximity_links_cleared,);
//Odom correction
RTABMAP_STATS(Loop, Odom_correction_norm, m);
RTABMAP_STATS(Loop, Odom_correction_angle, deg);
+1 -1
View File
@@ -113,7 +113,7 @@ public:
void getTranslationAndEulerAngles(float & x, float & y, float & z, float & roll, float & pitch, float & yaw) const;
void getEulerAngles(float & roll, float & pitch, float & yaw) const;
void getTranslation(float & x, float & y, float & z) const;
float getAngle(float x=1.0f, float y=0.0f, float z=0.0f) const;
float getAngle(const Transform & t) const;
float getNorm() const;
float getNormSquared() const;
float getDistance(const Transform & t) const;
@@ -50,21 +50,20 @@ public:
public:
CameraDepthAI(
const std::string & mxidOrName = "",
int resolution = 1, // 0=720p, 1=800p, 2=400p
float imageRate=0.0f,
int imageWidth = 1280, // 640 or 1280
float imageRate = 0.0f,
const Transform & localTransform = Transform::getIdentity());
virtual ~CameraDepthAI();
void setOutputMode(int outputMode = 0);
void setDepthProfile(int confThreshold = 200, int lrcThreshold = 5);
void setExtendedDisparity(bool extendedDisparity);
void setSubpixelMode(bool enabled, int fractionalBits = 3);
void setCompanding(bool enabled, int width=96);
void setRectification(bool useSpecTranslation, float alphaScaling = 0.0f, bool enabled=true);
void setExtendedDisparity(bool extendedDisparity = false, bool enableCompanding = false);
void setSubpixelMode(bool enabled = false, int fractionalBits = 3);
void setDisparityWidthAndFilter(int disparityWidth = 96, int medianFilter = 5);
void setRectification(bool useSpecTranslation = false, float alphaScaling = 0.0f, bool enabled = true);
void setIMU(bool imuPublished, bool publishInterIMU);
void setIrIntensity(float dotIntensity = 0.0f, float floodIntensity = 0.0f);
void setDetectFeatures(int detectFeatures = 0);
void setBlobPath(const std::string & blobPath);
void setDetectFeatures(int detectFeatures = 0, const std::string & blobPath = "");
void setGFTTDetector(bool useHarrisDetector = false, float minDistance = 7.0f, int numTargetFeatures = 1000);
void setSuperPointDetector(float threshold = 0.01f, bool nms = true, int nmsRadius = 4);
@@ -84,10 +83,12 @@ private:
int outputMode_;
int confThreshold_;
int lrcThreshold_;
int resolution_;
int imageWidth_;
bool extendedDisparity_;
bool enableCompanding_;
int subpixelFractionalBits_;
int compandingWidth_;
int disparityWidth_;
int medianFilter_;
bool useSpecTranslation_;
float alphaScaling_;
bool imagesRectified_;
@@ -103,7 +104,7 @@ private:
bool nms_;
int nmsRadius_;
std::string blobPath_;
std::shared_ptr<dai::Device> device_;
std::unique_ptr<dai::Device> device_;
std::shared_ptr<dai::DataOutputQueue> cameraQueue_;
std::map<double, cv::Vec3f> accBuffer_;
std::map<double, cv::Vec3f> gyroBuffer_;
@@ -56,6 +56,8 @@ public:
const Transform & localTransform = Transform::getIdentity());
virtual ~CameraStereoImages();
void setRightGrayScale(bool enabled = true) {rightGrayScale_ = enabled;}
virtual bool init(const std::string & calibrationFolder = ".", const std::string & cameraName = "");
virtual bool isCalibrated() const;
virtual std::string getSerial() const;
@@ -69,6 +71,7 @@ protected:
private:
CameraImages * camera2_;
StereoCameraModel stereoModel_;
bool rightGrayScale_;
};
@@ -70,6 +70,7 @@ public:
void setResolution(int width, int height) {_width=width, _height=height;}
void setFOURCC(const std::string & fourcc) { _fourcc = fourcc; }
void setRightGrayScale(bool enabled = true) {rightGrayScale_ = enabled;}
protected:
virtual SensorData captureImage(SensorCaptureInfo * info = 0);
@@ -88,6 +89,7 @@ private:
int _width;
int _height;
std::string _fourcc;
bool rightGrayScale_;
};
} // namespace rtabmap
@@ -79,6 +79,7 @@ public:
virtual bool getPose(double stamp, Transform & pose, cv::Mat & covariance, double maxWaitTime = 0.0);
void postInterIMUPublic(const IMU & imu, double stamp);
void setRightGrayScale(bool enabled = true);
protected:
virtual SensorData captureImage(SensorCaptureInfo * info = 0);
@@ -100,6 +101,7 @@ private:
bool computeOdometry_;
bool lost_;
bool force3DoF_;
bool rightGrayScale_;
ZedIMUThread * imuPublishingThread_;
#endif
};
@@ -62,6 +62,8 @@ public:
virtual bool isCalibrated() const;
virtual std::string getSerial() const;
void setRightGrayScale(bool enabled = true);
protected:
virtual SensorData captureImage(SensorCaptureInfo * info = 0);
@@ -74,6 +76,7 @@ private:
int usbDevice_;
int resolution_;
uint64_t lastStamp_;
bool rightGrayScale_;
#endif
};
@@ -151,7 +151,10 @@ void denseMeshPostProcessing(
coloredPts.at(i) = false;
}
}
pcl::toPCLPointCloud2(*coloredCloud, mesh->cloud);
if(coloredOutput) {
pcl::toPCLPointCloud2(*coloredCloud, mesh->cloud);
hasColors = true;
}
// remove polygons with no color
if(cleanMesh)
@@ -177,7 +180,6 @@ void denseMeshPostProcessing(
filteredPolygons.resize(oi);
mesh->polygons = filteredPolygons;
}
hasColors = true;
}
if(minClusterSize)
@@ -238,11 +240,11 @@ void denseMeshPostProcessing(
if(progressState) progressState->callback(uFormat("Filtered %d polygons.", before-(int)mesh->polygons.size()));
}
// compute normals for the mesh if not already here, add also white color if colored output is required
if(!hasNormals || (!hasColors && coloredOutput))
// compute normals for the mesh if not already here
if(!hasNormals)
{
// use polygons
if(hasColors || coloredOutput)
if(hasColors)
{
pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr cloud (new pcl::PointCloud<pcl::PointXYZRGBNormal>);
pcl::fromPCLPointCloud2(mesh->cloud, *cloud);
@@ -269,18 +271,9 @@ void denseMeshPostProcessing(
// flat normal (per face)
for(unsigned int j=0; j<v.vertices.size(); ++j)
{
if(!hasNormals)
{
cloud->at(v.vertices[j]).normal_x = normal[0];
cloud->at(v.vertices[j]).normal_y = normal[1];
cloud->at(v.vertices[j]).normal_z = normal[2];
}
if(!hasColors)
{
cloud->at(v.vertices[j]).r = 255;
cloud->at(v.vertices[j]).g = 255;
cloud->at(v.vertices[j]).b = 255;
}
cloud->at(v.vertices[j]).normal_x = normal[0];
cloud->at(v.vertices[j]).normal_y = normal[1];
cloud->at(v.vertices[j]).normal_z = normal[2];
}
}
pcl::toPCLPointCloud2 (*cloud, mesh->cloud);
@@ -28,6 +28,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
// Should be first on windows to avoid "WinSock.h has already been included" error
#include <pcl/io/vlp_grabber.h>
#include <boost/version.hpp>
#include <rtabmap/core/Lidar.h>
#include <rtabmap/utilite/USemaphore.h>
@@ -62,6 +62,8 @@ private:
float keyFrameThr_;
int visKeyFrameThr_;
int maxNewFeatures_;
float initDepthFactor_;
float floorThreshold_;
float scanKeyFrameThr_;
int scanMaximumMapSize_;
float scanSubtractRadius_;
@@ -69,6 +71,9 @@ private:
float scanMapMaxRange_;
int bundleAdjustment_;
int bundleMaxFrames_;
float bundleMinMotion_;
int bundleMaxKeyFramesPerFeature_;
bool bundleUpdateFeatureMapOnAllFrames_;
float validDepthRatio_;
int pointToPlaneK_;
float pointToPlaneRadius_;
+37
View File
@@ -0,0 +1,37 @@
// The following code is a C++ wrapper of the code presented by
// Andrew D. Wilson in "Fast Lossless Depth Image Compression" at SIGCHI'17.
// The original code is licensed under the MIT License.
#ifndef RVL_CODEC_H_
#define RVL_CODEC_H_
#include <cstdint>
#include "rtabmap/core/rtabmap_core_export.h"
namespace rtabmap
{
class RTABMAP_CORE_EXPORT RvlCodec {
public:
RvlCodec();
// Compress input data into output. The size of output can be equal to (1.5 * numPixels + 4) in the worst case.
int CompressRVL(const uint16_t * input, unsigned char * output, int numPixels);
// Decompress input data into output. The size of output must be equal to numPixels.
void DecompressRVL(const unsigned char * input, uint16_t * output, int numPixels);
private:
RvlCodec(const RvlCodec &);
RvlCodec & operator=(const RvlCodec &);
void EncodeVLE(int value);
int DecodeVLE();
int *buffer_;
int *pBuffer_;
int word_;
int nibblesWritten_;
};
} // namespace rtabmap
#endif // RVL_CODEC_H_
+12
View File
@@ -126,6 +126,14 @@ cv::Mat RTABMAP_CORE_EXPORT registerDepth(
const cv::Size & colorSize,
const cv::Mat & colorK,
const rtabmap::Transform & transform);
cv::Mat RTABMAP_CORE_EXPORT registerDepth(
const cv::Mat & depth,
const cv::Mat & confidence,
const cv::Mat & depthK,
const cv::Size & colorSize,
const cv::Mat & colorK,
const rtabmap::Transform & transform,
cv::Mat & registeredConfidence);
cv::Mat RTABMAP_CORE_EXPORT fillDepthHoles(
const cv::Mat & depth,
@@ -144,6 +152,10 @@ cv::Mat RTABMAP_CORE_EXPORT fastBilateralFiltering(
float sigmaR = 0.05f,
bool earlyDivision = false);
void RTABMAP_CORE_EXPORT depthBleedingFiltering(
cv::Mat & depth,
float maxDepthError);
cv::Mat RTABMAP_CORE_EXPORT brightnessAndContrastAuto(
const cv::Mat & src,
const cv::Mat & mask,
+45 -4
View File
@@ -97,6 +97,15 @@ pcl::PointCloud<pcl::PointXYZ>::Ptr RTABMAP_CORE_EXPORT cloudFromDepth(
float maxDepth = 0.0f,
float minDepth = 0.0f,
std::vector<int> * validIndices = 0);
pcl::PointCloud<pcl::PointXYZ>::Ptr RTABMAP_CORE_EXPORT cloudFromDepth(
const cv::Mat & imageDepth,
const cv::Mat & imageDepthConfidence,
const CameraModel & model,
int decimation = 1,
float maxDepth = 0.0f,
float minDepth = 0.0f,
unsigned char confidenceThr = 0,
std::vector<int> * validIndices = 0);
// Use cloudFromDepthRGB with CameraModel interface.
RTABMAP_DEPRECATED pcl::PointCloud<pcl::PointXYZRGB>::Ptr RTABMAP_CORE_EXPORT cloudFromDepthRGB(
@@ -116,6 +125,16 @@ pcl::PointCloud<pcl::PointXYZRGB>::Ptr RTABMAP_CORE_EXPORT cloudFromDepthRGB(
float maxDepth = 0.0f,
float minDepth = 0.0f,
std::vector<int> * validIndices = 0);
pcl::PointCloud<pcl::PointXYZRGB>::Ptr RTABMAP_CORE_EXPORT cloudFromDepthRGB(
const cv::Mat & imageRgb,
const cv::Mat & imageDepth,
const cv::Mat & imageDepthConfidence,
const CameraModel & model,
int decimation = 1,
float maxDepth = 0.0f,
float minDepth = 0.0f,
unsigned char confidenceThr = 0, // 0=low, 100=high
std::vector<int> * validIndices = 0);
pcl::PointCloud<pcl::PointXYZ>::Ptr RTABMAP_CORE_EXPORT cloudFromDisparity(
const cv::Mat & imageDisparity,
@@ -164,7 +183,8 @@ std::vector<pcl::PointCloud<pcl::PointXYZ>::Ptr> RTABMAP_CORE_EXPORT cloudsFromS
float minDepth = 0.0f,
std::vector<pcl::IndicesPtr> * validIndices = 0,
const ParametersMap & stereoParameters = ParametersMap(),
const std::vector<float> & roiRatios = std::vector<float>()); // ignored for stereo
const std::vector<float> & roiRatios = std::vector<float>(), // ignored for stereo
unsigned char confidenceThr = 0); // ignored for stereo
/**
* Create a XYZ cloud from the images contained in SensorData. If there is only one camera,
@@ -188,7 +208,8 @@ pcl::PointCloud<pcl::PointXYZ>::Ptr RTABMAP_CORE_EXPORT cloudFromSensorData(
float minDepth = 0.0f,
std::vector<int> * validIndices = 0,
const ParametersMap & stereoParameters = ParametersMap(),
const std::vector<float> & roiRatios = std::vector<float>()); // ignored for stereo
const std::vector<float> & roiRatios = std::vector<float>(), // ignored for stereo
unsigned char confidenceThr = 0); // ignored for stereo
/**
* Create an RGB cloud from the images contained in SensorData, one for each camera
@@ -210,7 +231,8 @@ std::vector<pcl::PointCloud<pcl::PointXYZRGB>::Ptr> RTABMAP_CORE_EXPORT cloudsRG
float minDepth = 0.0f,
std::vector<pcl::IndicesPtr > * validIndices = 0,
const ParametersMap & stereoParameters = ParametersMap(),
const std::vector<float> & roiRatios = std::vector<float>()); // ignored for stereo
const std::vector<float> & roiRatios = std::vector<float>(), // ignored for stereo
unsigned char confidenceThr = 0); // ignored for stereo
/**
* Create an RGB cloud from the images contained in SensorData. If there is only one camera,
@@ -234,7 +256,8 @@ pcl::PointCloud<pcl::PointXYZRGB>::Ptr RTABMAP_CORE_EXPORT cloudRGBFromSensorDat
float minDepth = 0.0f,
std::vector<int> * validIndices = 0,
const ParametersMap & stereoParameters = ParametersMap(),
const std::vector<float> & roiRatios = std::vector<float>()); // ignored for stereo
const std::vector<float> & roiRatios = std::vector<float>(), // ignored for stereo
unsigned char confidenceThr = 0); // ignored for stereo
/**
* Simulate a laser scan rotating counterclockwise, using middle line of the depth image.
@@ -364,6 +387,22 @@ void RTABMAP_CORE_EXPORT fillProjectedCloudHoles(
bool verticalDirection,
bool fillToBorder);
/**
* @brief Remove values below a floor threshold in a depth image.
*
* @param depth the depth image to filter (can be a multi-camera depth image).
* @param cameraModels corresponding camera model(s) to depth image, with valid
* local transform between base frame to camera frame.
* @param threshold height from base frame at which pixels below it are set to 0.
* @param depthBelow depth image of the pixels below the floor theshold.
* @return cv::Mat depth image of the pixels above the floor theshold.
*/
cv::Mat RTABMAP_CORE_EXPORT filterFloor(
const cv::Mat & depth,
const std::vector<CameraModel> & cameraModels,
float threshold,
cv::Mat * depthBelow = 0);
/**
* For each point, return pixel of the best camera (NodeID->CameraIndex)
* looking at it based on the policy and parameters
@@ -374,6 +413,7 @@ std::vector<std::pair< std::pair<int, int>, pcl::PointXY> > RTABMAP_CORE_EXPORT
const std::map<int, std::vector<CameraModel> > & cameraModels,
float maxDistance = 0.0f,
float maxAngle = 0.0f,
float maxDepthError = 0.0f,
const std::vector<float> & roiRatios = std::vector<float>(),
const cv::Mat & projMask = cv::Mat(),
bool distanceToCamPolicy = false,
@@ -388,6 +428,7 @@ std::vector<std::pair< std::pair<int, int>, pcl::PointXY> > RTABMAP_CORE_EXPORT
const std::map<int, std::vector<CameraModel> > & cameraModels,
float maxDistance = 0.0f,
float maxAngle = 0.0f,
float maxDepthError = 0.0f,
const std::vector<float> & roiRatios = std::vector<float>(),
const cv::Mat & projMask = cv::Mat(),
bool distanceToCamPolicy = false,
@@ -76,6 +76,25 @@ Transform RTABMAP_CORE_EXPORT estimateMotion3DTo2D(
std::vector<int> * inliersOut = 0,
bool splitLinearCovarianceComponents = false);
Transform estimateMotion3DTo2D(
const std::map<int, cv::Point3f> & words3A,
const std::map<int, cv::KeyPoint> & words2B,
const std::vector<CameraModel> & cameraModels,
unsigned int samplingPolicy,
int minInliers,
int iterations,
double reprojError,
int flagsPnP,
int refineIterations,
int varianceMedianRatio,
float maxVariance,
const Transform & guess,
const std::map<int, cv::Point3f> & words3B,
cv::Mat * covariance,
std::vector<std::vector<int> > * matchesOut,
std::vector<std::vector<int> > * inliersOut,
bool splitLinearCovarianceComponents);
Transform RTABMAP_CORE_EXPORT estimateMotion3DTo3D(
const std::map<int, cv::Point3f> & words3A,
const std::map<int, cv::Point3f> & words3B,
@@ -225,6 +225,7 @@ cv::Mat RTABMAP_CORE_EXPORT mergeTextures(
bool exposureFusion = false, //Exposure fusion can be used only with OpenCV3
const ProgressState * state = 0,
unsigned char blankValue = 255, //Gray value for blank polygons (without texture)
bool clearVertexColorUnderTexture = true,
std::map<int, std::map<int, cv::Vec4d> > * gains = 0, // <Camera ID, Camera Sub Index (multi-cameras), gains Gray-R-G-B>
std::map<int, std::map<int, cv::Mat> > * blendingGains = 0, // <Camera ID, Camera Sub Index (multi-cameras), gains>
std::pair<float, float> * contrastValues = 0); // Alpha/beta contrast values
@@ -247,6 +248,7 @@ cv::Mat RTABMAP_CORE_EXPORT mergeTextures(
bool exposureFusion = false, //Exposure fusion can be used only with OpenCV3
const ProgressState * state = 0,
unsigned char blankValue = 255, //Gray value for blank polygons (without texture)
bool clearVertexColorUnderTexture = true,
std::map<int, std::map<int, cv::Vec4d> > * gains = 0, // <Camera ID, Camera Sub Index (multi-cameras), gains Gray-R-G-B>
std::map<int, std::map<int, cv::Mat> > * blendingGains = 0, // <Camera ID, Camera Sub Index (multi-cameras), gains>
std::pair<float, float> * contrastValues = 0); // Alpha/beta contrast values
@@ -482,6 +484,22 @@ void RTABMAP_CORE_EXPORT adjustNormalsToViewPoint(
const Eigen::Vector3f & viewpoint = Eigen::Vector3f(0,0,0),
float groundNormalsUp = 0.0f);
void RTABMAP_CORE_EXPORT adjustNormalsToViewPoints(
const std::map<int, Transform> & poses,
const std::vector<int> & cameraIndices,
pcl::PointCloud<pcl::PointNormal>::Ptr & cloud,
float groundNormalsUp = 0.0f);
void RTABMAP_CORE_EXPORT adjustNormalsToViewPoints(
const std::map<int, Transform> & poses,
const std::vector<int> & cameraIndices,
pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr & cloud,
float groundNormalsUp = 0.0f);
void RTABMAP_CORE_EXPORT adjustNormalsToViewPoints(
const std::map<int, Transform> & poses,
const std::vector<int> & cameraIndices,
pcl::PointCloud<pcl::PointXYZINormal>::Ptr & cloud,
float groundNormalsUp = 0.0f);
void RTABMAP_CORE_EXPORT adjustNormalsToViewPoints(
const std::map<int, Transform> & poses,
const pcl::PointCloud<pcl::PointXYZ>::Ptr & rawCloud,
@@ -570,6 +588,15 @@ bool intersectRayMesh(
Eigen::Vector3f & normal,
int & index);
int RTABMAP_CORE_EXPORT saveOBJFile(
const std::string &file_name,
const pcl::TextureMesh &tex_mesh,
unsigned precision = 5);
int RTABMAP_CORE_EXPORT saveOBJFile(
const std::string &file_name,
const pcl::PolygonMesh &mesh,
unsigned precision = 5);
} // namespace util3d
} // namespace rtabmap
+6 -2
View File
@@ -64,6 +64,8 @@ SET(SRC_FILES
util3d_correspondences.cpp
util3d_motion_estimation.cpp
rvl_codec.cpp
SensorData.cpp
Graph.cpp
Compression.cpp
@@ -83,6 +85,7 @@ SET(SRC_FILES
Odometry.cpp
OdometryThread.cpp
OdometryInfo.cpp
odometry/OdometryF2M.cpp
odometry/OdometryMono.cpp
odometry/OdometryF2F.cpp
@@ -643,10 +646,10 @@ IF(octomap_FOUND)
ENDIF(octomap_FOUND)
IF(grid_map_core_FOUND)
IF(TARGET grid_map_core)
IF(TARGET grid_map_core::grid_map_core)
SET(LIBRARIES
${LIBRARIES}
grid_map_core
grid_map_core::grid_map_core
)
ELSE()
SET(INCLUDE_DIRS
@@ -813,6 +816,7 @@ CONFIGURE_FILE(${CMAKE_CURRENT_SOURCE_DIR}/resources/DatabaseSchema.sql.in ${CMA
SET(RESOURCES
${CMAKE_CURRENT_SOURCE_DIR}/resources/DatabaseSchema.sql
${CMAKE_CURRENT_SOURCE_DIR}/resources/backward_compatibility/DatabaseSchema_0_20_0.sql
${CMAKE_CURRENT_SOURCE_DIR}/resources/backward_compatibility/DatabaseSchema_0_18_3.sql
${CMAKE_CURRENT_SOURCE_DIR}/resources/backward_compatibility/DatabaseSchema_0_18_0.sql
${CMAKE_CURRENT_SOURCE_DIR}/resources/backward_compatibility/DatabaseSchema_0_17_0.sql
+92 -25
View File
@@ -34,14 +34,14 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
namespace rtabmap {
// format : ".png" ".jpg" "" (empty is general)
// format : ".jpg" ".png" ".rvl" "" (empty is general)
CompressionThread::CompressionThread(const cv::Mat & mat, const std::string & format) :
uncompressedData_(mat),
format_(format),
image_(!format.empty()),
compressMode_(true)
{
UASSERT(format.empty() || format.compare(".png") == 0 || format.compare(".jpg") == 0);
UASSERT(format.empty() || format.compare(".jpg") == 0 || format.compare(".png") == 0 || format.compare(".rvl") == 0);
}
// assume image
CompressionThread::CompressionThread(const cv::Mat & bytes, bool isImage) :
@@ -96,7 +96,7 @@ void CompressionThread::mainLoop()
this->kill();
}
// ".png" or ".jpg"
// ".jpg" or ".png" or ".rvl"
std::vector<unsigned char> compressImage(const cv::Mat & image, const std::string & format)
{
std::vector<unsigned char> bytes;
@@ -106,7 +106,21 @@ std::vector<unsigned char> compressImage(const cv::Mat & image, const std::strin
{
//save in 8bits-4channel
cv::Mat bgra(image.size(), CV_8UC4, image.data);
cv::imencode(format, bgra, bytes);
cv::imencode(".png", bgra, bytes);
}
else if(format == ".rvl")
{
bytes = {'D', 'E', 'P', 'T', 'H', 'R', 'V', 'L'};
int numPixels = image.rows * image.cols;
// In the worst case, RVL compression results in ~1.5x larger data.
bytes.resize(3 * numPixels + 20);
uint32_t cols = image.cols;
uint32_t rows = image.rows;
memcpy(&bytes[8], &cols, 4);
memcpy(&bytes[12], &rows, 4);
RvlCodec rvl;
int compressedSize = rvl.CompressRVL(image.ptr<uint16_t>(), &bytes[16], numPixels);
bytes.resize(16 + compressedSize);
}
else
{
@@ -116,7 +130,7 @@ std::vector<unsigned char> compressImage(const cv::Mat & image, const std::strin
return bytes;
}
// ".png" or ".jpg"
// ".jpg" or ".png" or ".rvl"
cv::Mat compressImage2(const cv::Mat & image, const std::string & format)
{
std::vector<unsigned char> bytes = compressImage(image, format);
@@ -129,21 +143,33 @@ cv::Mat compressImage2(const cv::Mat & image, const std::string & format)
cv::Mat uncompressImage(const cv::Mat & bytes)
{
cv::Mat image;
cv::Mat image;
if(!bytes.empty())
{
#if CV_MAJOR_VERSION>2 || (CV_MAJOR_VERSION >=2 && CV_MINOR_VERSION >=4)
image = cv::imdecode(bytes, cv::IMREAD_UNCHANGED);
#else
image = cv::imdecode(bytes, -1);
#endif
if(image.type() == CV_8UC4)
if (compressedDepthFormat(bytes) == ".rvl")
{
// Using clone() or copyTo() caused a memory leak !?!?
// image = cv::Mat(image.size(), CV_32FC1, image.data).clone();
cv::Mat depth(image.size(), CV_32FC1);
memcpy(depth.data, image.data, image.total()*image.elemSize());
image = depth;
uint32_t cols, rows;
memcpy(&cols, &bytes.data[8], 4);
memcpy(&rows, &bytes.data[12], 4);
image = cv::Mat(rows, cols, CV_16UC1);
RvlCodec rvl;
rvl.DecompressRVL(&bytes.data[16], image.ptr<uint16_t>(), cols * rows);
}
else
{
#if CV_MAJOR_VERSION>2 || (CV_MAJOR_VERSION >=2 && CV_MINOR_VERSION >=4)
image = cv::imdecode(bytes, cv::IMREAD_UNCHANGED);
#else
image = cv::imdecode(bytes, -1);
#endif
if(image.type() == CV_8UC4)
{
// Using clone() or copyTo() caused a memory leak !?!?
// image = cv::Mat(image.size(), CV_32FC1, image.data).clone();
cv::Mat depth(image.size(), CV_32FC1);
memcpy(depth.data, image.data, image.total()*image.elemSize());
image = depth;
}
}
}
return image;
@@ -151,17 +177,29 @@ cv::Mat uncompressImage(const cv::Mat & bytes)
cv::Mat uncompressImage(const std::vector<unsigned char> & bytes)
{
cv::Mat image;
cv::Mat image;
if(bytes.size())
{
#if CV_MAJOR_VERSION>2 || (CV_MAJOR_VERSION >=2 && CV_MINOR_VERSION >=4)
image = cv::imdecode(bytes, cv::IMREAD_UNCHANGED);
#else
image = cv::imdecode(bytes, -1);
#endif
if(image.type() == CV_8UC4)
if (compressedDepthFormat(bytes) == ".rvl")
{
image = cv::Mat(image.size(), CV_32FC1, image.data).clone();
uint32_t cols, rows;
memcpy(&cols, &bytes[8], 4);
memcpy(&rows, &bytes[12], 4);
image = cv::Mat(rows, cols, CV_16UC1);
RvlCodec rvl;
rvl.DecompressRVL(&bytes[16], image.ptr<uint16_t>(), cols * rows);
}
else
{
#if CV_MAJOR_VERSION>2 || (CV_MAJOR_VERSION >=2 && CV_MINOR_VERSION >=4)
image = cv::imdecode(bytes, cv::IMREAD_UNCHANGED);
#else
image = cv::imdecode(bytes, -1);
#endif
if(image.type() == CV_8UC4)
{
image = cv::Mat(image.size(), CV_32FC1, image.data).clone();
}
}
}
return image;
@@ -291,4 +329,33 @@ std::string uncompressString(const cv::Mat & bytes)
return "";
}
std::string compressedDepthFormat(const cv::Mat & bytes)
{
return compressedDepthFormat(bytes.data, bytes.rows * bytes.cols * bytes.elemSize());
}
std::string compressedDepthFormat(const std::vector<unsigned char> & bytes)
{
return compressedDepthFormat(bytes.data(), bytes.size());
}
std::string compressedDepthFormat(const unsigned char * bytes, size_t size)
{
std::string format;
if(bytes && size)
{
size_t maxlen = std::min(size, size_t(8));
std::vector<unsigned char> signature(maxlen);
memcpy(&signature[0], bytes, maxlen);
if (std::string(signature.begin(), signature.end()) == "DEPTHRVL")
{
format = ".rvl";
}
else
{
// Assuming png by default
format = ".png";
}
}
return format;
}
} /* namespace rtabmap */
+44 -4
View File
@@ -512,12 +512,13 @@ void DBDriver::updateCalibration(int nodeId, const std::vector<CameraModel> & mo
_dbSafeAccessMutex.unlock();
}
void DBDriver::updateDepthImage(int nodeId, const cv::Mat & image)
void DBDriver::updateDepthImage(int nodeId, const cv::Mat & image, const std::string & format)
{
_dbSafeAccessMutex.lock();
this->updateDepthImageQuery(
nodeId,
image);
image,
format);
_dbSafeAccessMutex.unlock();
}
@@ -922,6 +923,45 @@ void DBDriver::getAllNodeIds(std::set<int> & ids, bool ignoreChildren, bool igno
_dbSafeAccessMutex.unlock();
}
void DBDriver::getAllOdomPoses(std::map<int, Transform> & poses, bool ignoreChildren, bool ignoreIntermediateNodes) const
{
// look in the trash
_trashesMutex.lock();
if(_trashSignatures.size())
{
for(std::map<int, Signature*>::const_iterator sIter = _trashSignatures.begin(); sIter!=_trashSignatures.end(); ++sIter)
{
bool hasNeighbors = !ignoreChildren;
if(ignoreChildren)
{
for(std::map<int, Link>::const_iterator nIter = sIter->second->getLinks().begin();
nIter!=sIter->second->getLinks().end();
++nIter)
{
if(nIter->second.type() == Link::kNeighbor ||
nIter->second.type() == Link::kNeighborMerged)
{
hasNeighbors = true;
break;
}
}
}
if(hasNeighbors && (!ignoreIntermediateNodes || sIter->second->getWeight() != -1))
{
poses.insert(std::make_pair(sIter->first, sIter->second->getPose()));
}
}
std::vector<int> keys = uKeys(_trashSignatures);
}
_trashesMutex.unlock();
_dbSafeAccessMutex.lock();
this->getAllOdomPosesQuery(poses, ignoreChildren, ignoreIntermediateNodes);
_dbSafeAccessMutex.unlock();
}
void DBDriver::getAllLinks(std::multimap<int, Link> & links, bool ignoreNullLinks, bool withLandmarks) const
{
_dbSafeAccessMutex.lock();
@@ -1139,7 +1179,7 @@ void DBDriver::addInfoAfterRun(
<< processMemUsed << ","
<< databaseMemUsed << ","
<< dictionarySize << ","
"\"" << param.c_str() << "\");";
"'" << param.c_str() << "');";
}
else
{
@@ -1149,7 +1189,7 @@ void DBDriver::addInfoAfterRun(
<< processMemUsed << ","
<< databaseMemUsed << ","
<< dictionarySize << ","
"\"" << param.c_str() << "\");";
"'" << param.c_str() << "');";
}
}
else
+133 -15
View File
@@ -34,6 +34,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include "rtabmap/core/util3d.h"
#include "rtabmap/core/Compression.h"
#include "DatabaseSchema_sql.h"
#include "DatabaseSchema_0_20_0_sql.h"
#include "DatabaseSchema_0_18_3_sql.h"
#include "DatabaseSchema_0_18_0_sql.h"
#include "DatabaseSchema_0_17_0_sql.h"
@@ -402,6 +403,7 @@ bool DBDriverSqlite3::connectDatabaseQuery(const std::string & url, bool overwri
schemas.push_back(std::make_pair("0.17.0", DATABASESCHEMA_0_17_0_SQL));
schemas.push_back(std::make_pair("0.18.0", DATABASESCHEMA_0_18_0_SQL));
schemas.push_back(std::make_pair("0.18.3", DATABASESCHEMA_0_18_3_SQL));
schemas.push_back(std::make_pair("0.20.0", DATABASESCHEMA_0_20_0_SQL));
schemas.push_back(std::make_pair(uNumber2Str(RTABMAP_VERSION_MAJOR)+"."+uNumber2Str(RTABMAP_VERSION_MINOR), DATABASESCHEMA_SQL));
for(size_t i=0; i<schemas.size(); ++i)
{
@@ -1317,7 +1319,15 @@ void DBDriverSqlite3::loadNodeDataQuery(std::list<Signature *> & signatures, boo
if(images)
{
fields << "image, depth, calibration";
if(uStrNumCmp(_version, "0.22.0") >= 0)
{
fields << "image, depth, depth_confidence, calibration";
}
else
{
fields << "image, depth, calibration";
}
if(scan || userData || occupancyGrid)
{
fields << ", ";
@@ -1448,6 +1458,7 @@ void DBDriverSqlite3::loadNodeDataQuery(std::list<Signature *> & signatures, boo
cv::Mat imageCompressed;
cv::Mat depthOrRightCompressed;
cv::Mat depthConfidenceCompressed;
std::vector<CameraModel> models;
std::vector<StereoCameraModel> stereoModels;
Transform localTransform = Transform::getIdentity();
@@ -1472,6 +1483,17 @@ void DBDriverSqlite3::loadNodeDataQuery(std::list<Signature *> & signatures, boo
depthOrRightCompressed = cv::Mat(1, dataSize, CV_8UC1, (void *)data).clone();
}
if(uStrNumCmp(_version, "0.22.0") >= 0)
{
//Create the depth image
data = sqlite3_column_blob(ppStmt, index);
dataSize = sqlite3_column_bytes(ppStmt, index++);
if(dataSize>4 && data)
{
depthConfidenceCompressed = cv::Mat(1, dataSize, CV_8UC1, (void *)data).clone();
}
}
if(uStrNumCmp(_version, "0.10.0") < 0)
{
data = sqlite3_column_blob(ppStmt, index); // local transform
@@ -1823,7 +1845,7 @@ void DBDriverSqlite3::loadNodeDataQuery(std::list<Signature *> & signatures, boo
{
if(models.size())
{
(*iter)->sensorData().setRGBDImage(imageCompressed, depthOrRightCompressed, models);
(*iter)->sensorData().setRGBDImage(imageCompressed, depthOrRightCompressed, depthConfidenceCompressed, models);
}
else
{
@@ -2427,9 +2449,13 @@ void DBDriverSqlite3::getAllNodeIdsQuery(std::set<int> & ids, bool ignoreChildre
<< "FROM Node ";
if(ignoreChildren)
{
query << "INNER JOIN Link ";
query << "ON id = to_id "; // use to_id to ignore all children (which don't have link pointing on them)
query << "WHERE from_id != to_id "; // ignore self referring links
// use to_id to ignore all children (which don't have link pointing on them)
// ignore self referring links
// keep nodes without link to other nodes (map has only a single node)
query << "WHERE ";
query << "(EXISTS (select 1 from Link where Node.id=to_id and from_id != to_id) OR ";
query << " NOT EXISTS (select 1 from Link where id=to_id and from_id != to_id)) ";
query << "AND weight>-9 "; //ignore invalid nodes
if(ignoreIntermediateNodes)
{
@@ -2483,6 +2509,75 @@ void DBDriverSqlite3::getAllNodeIdsQuery(std::set<int> & ids, bool ignoreChildre
}
}
void DBDriverSqlite3::getAllOdomPosesQuery(std::map<int, Transform> & poses, bool ignoreChildren, bool ignoreIntermediateNodes) const
{
if(_ppDb)
{
UTimer timer;
timer.start();
int rc = SQLITE_OK;
sqlite3_stmt * ppStmt = 0;
std::stringstream query;
query << "SELECT DISTINCT id, pose "
<< "FROM Node ";
if(ignoreChildren)
{
query << "INNER JOIN Link ";
query << "ON id = to_id "; // use to_id to ignore all children (which don't have link pointing on them)
query << "WHERE from_id != to_id "; // ignore self referring links
query << "AND weight>-9 "; //ignore invalid nodes
if(ignoreIntermediateNodes)
{
query << "AND weight!=-1 "; //ignore intermediate nodes
}
}
else if(ignoreIntermediateNodes)
{
query << "WHERE weight!=-1 "; //ignore intermediate nodes
}
query << "ORDER BY id";
rc = sqlite3_prepare_v2(_ppDb, query.str().c_str(), -1, &ppStmt, 0);
UASSERT_MSG(rc == SQLITE_OK, uFormat("DB error (%s): %s", _version.c_str(), sqlite3_errmsg(_ppDb)).c_str());
const void * data = 0;
int dataSize = 0;
// Process the result if one
rc = sqlite3_step(ppStmt);
while(rc == SQLITE_ROW)
{
int id = sqlite3_column_int(ppStmt, 0); // Signature Id
data = sqlite3_column_blob(ppStmt, 1); // Pose
dataSize = sqlite3_column_bytes(ppStmt, 1);
Transform pose;
if((unsigned int)dataSize == pose.size()*sizeof(float) && data)
{
memcpy(pose.data(), data, dataSize);
if(uStrNumCmp(_version, "0.15.2") < 0)
{
pose.normalizeRotation();
}
}
else if(dataSize)
{
UERROR("Error while loading pose for node %d! Setting to null...", id);
}
poses.insert(std::make_pair(id, pose));
rc = sqlite3_step(ppStmt);
}
UASSERT_MSG(rc == SQLITE_DONE, uFormat("DB error (%s): %s", _version.c_str(), sqlite3_errmsg(_ppDb)).c_str());
// Finalize (delete) the statement
rc = sqlite3_finalize(ppStmt);
UASSERT_MSG(rc == SQLITE_OK, uFormat("DB error (%s): %s", _version.c_str(), sqlite3_errmsg(_ppDb)).c_str());
ULOGGER_DEBUG("Time=%f ids=%d", timer.ticks(), (int)poses.size());
}
}
void DBDriverSqlite3::getAllLinksQuery(std::multimap<int, Link> & links, bool ignoreNullLinks, bool withLandmarks) const
{
links.clear();
@@ -4405,6 +4500,7 @@ void DBDriverSqlite3::saveQuery(const std::list<Signature *> & signatures)
{
if(!(*i)->sensorData().imageCompressed().empty() ||
!(*i)->sensorData().depthOrRightCompressed().empty() ||
!(*i)->sensorData().depthConfidenceCompressed().empty() ||
!(*i)->sensorData().laserScanCompressed().isEmpty() ||
!(*i)->sensorData().userDataCompressed().empty() ||
!(*i)->sensorData().cameraModels().empty() ||
@@ -4650,7 +4746,8 @@ void DBDriverSqlite3::updateCalibrationQuery(
void DBDriverSqlite3::updateDepthImageQuery(
int nodeId,
const cv::Mat & image) const
const cv::Mat & image,
const std::string & format) const
{
UDEBUG("");
if(_ppDb)
@@ -4669,7 +4766,8 @@ void DBDriverSqlite3::updateDepthImageQuery(
// Save depth
stepDepthUpdate(ppStmt,
nodeId,
image);
image,
format);
// Finalize (delete) the statement
rc = sqlite3_finalize(ppStmt);
@@ -5428,7 +5526,7 @@ cv::Mat DBDriverSqlite3::loadOptimizedMeshQuery(
materialPolygons[p][i] = serializedPolygons.at<int>(t + p*polygonSize + i);
}
}
t+=materialPolygons.size()*polygonSize;
t+=materialPolygons.size()*polygonSize-1;
polygons->push_back(materialPolygons);
}
}
@@ -5445,7 +5543,7 @@ cv::Mat DBDriverSqlite3::loadOptimizedMeshQuery(
UASSERT(serializedTexCoords.total());
for(int t=0; t<serializedTexCoords.cols; ++t)
{
UASSERT(int(serializedTexCoords.at<float>(t)) > 0);
UASSERT_MSG(int(serializedTexCoords.at<float>(t)) > 0, uFormat("serializedTexCoords.at<float>(%d)=%f", t, serializedTexCoords.at<float>(t)).c_str());
#if PCL_VERSION_COMPARE(>=, 1, 8, 0)
std::vector<Eigen::Vector2f, Eigen::aligned_allocator<Eigen::Vector2f> > materialtexCoords(int(serializedTexCoords.at<float>(t)));
#else
@@ -5458,8 +5556,10 @@ cv::Mat DBDriverSqlite3::loadOptimizedMeshQuery(
{
materialtexCoords[p][0] = serializedTexCoords.at<float>(t + p*2);
materialtexCoords[p][1] = serializedTexCoords.at<float>(t + p*2 + 1);
UASSERT(materialtexCoords[p][0]>=0.0f && materialtexCoords[p][0] <= 1.0f);
UASSERT(materialtexCoords[p][1]>=0.0f && materialtexCoords[p][1] <= 1.0f);
}
t+=materialtexCoords.size()*2;
t+=materialtexCoords.size()*2-1;
texCoords->push_back(materialtexCoords);
}
}
@@ -5940,7 +6040,7 @@ std::string DBDriverSqlite3::queryStepDepthUpdate() const
return "UPDATE Data SET depth=? WHERE id=?;";
}
}
void DBDriverSqlite3::stepDepthUpdate(sqlite3_stmt * ppStmt, int nodeId, const cv::Mat & image) const
void DBDriverSqlite3::stepDepthUpdate(sqlite3_stmt * ppStmt, int nodeId, const cv::Mat & image, const std::string & format) const
{
if(!ppStmt)
{
@@ -5954,7 +6054,7 @@ void DBDriverSqlite3::stepDepthUpdate(sqlite3_stmt * ppStmt, int nodeId, const c
if(!image.empty() && (image.type()!=CV_8UC1 || image.rows > 1))
{
// compress
imageCompressed = compressImage2(image, ".png");
imageCompressed = compressImage2(image, format);
}
else
{
@@ -6111,7 +6211,11 @@ void DBDriverSqlite3::stepScanUpdate(sqlite3_stmt * ppStmt, int nodeId, const La
std::string DBDriverSqlite3::queryStepSensorData() const
{
UASSERT(uStrNumCmp(_version, "0.10.0") >= 0);
if(uStrNumCmp(_version, "0.16.0") >= 0)
if(uStrNumCmp(_version, "0.22.0") >= 0)
{
return "INSERT INTO Data(id, image, depth, depth_confidence, calibration, scan_info, scan, user_data, ground_cells, obstacle_cells, empty_cells, cell_size, view_point_x, view_point_y, view_point_z) VALUES(?,?,?,?,?,?,?,?,?,?,?,?,?,?,?);";
}
else if(uStrNumCmp(_version, "0.16.0") >= 0)
{
return "INSERT INTO Data(id, image, depth, calibration, scan_info, scan, user_data, ground_cells, obstacle_cells, empty_cells, cell_size, view_point_x, view_point_y, view_point_z) VALUES(?,?,?,?,?,?,?,?,?,?,?,?,?,?);";
}
@@ -6175,6 +6279,20 @@ void DBDriverSqlite3::stepSensorData(sqlite3_stmt * ppStmt,
}
UASSERT_MSG(rc == SQLITE_OK, uFormat("DB error (%s): %s", _version.c_str(), sqlite3_errmsg(_ppDb)).c_str());
//depth confidence
if(uStrNumCmp(_version, "0.22.0") >= 0)
{
if(!sensorData.depthConfidenceCompressed().empty())
{
rc = sqlite3_bind_blob(ppStmt, index++, sensorData.depthConfidenceCompressed().data, (int)sensorData.depthConfidenceCompressed().cols, SQLITE_STATIC);
}
else
{
rc = sqlite3_bind_null(ppStmt, index++);
}
UASSERT_MSG(rc == SQLITE_OK, uFormat("DB error (%s): %s", _version.c_str(), sqlite3_errmsg(_ppDb)).c_str());
}
// calibration
std::vector<unsigned char> calibrationData;
std::vector<float> calibration;
@@ -6706,12 +6824,12 @@ void DBDriverSqlite3::stepGlobalDescriptor(sqlite3_stmt * ppStmt,
int rc = SQLITE_OK;
int index = 1;
//node_if
//node_id
rc = sqlite3_bind_int(ppStmt, index++, nodeId);
UASSERT_MSG(rc == SQLITE_OK, uFormat("DB error (%s): %s", _version.c_str(), sqlite3_errmsg(_ppDb)).c_str());
//type
rc = sqlite3_bind_int(ppStmt, index++, nodeId);
rc = sqlite3_bind_int(ppStmt, index++, descriptor.type());
UASSERT_MSG(rc == SQLITE_OK, uFormat("DB error (%s): %s", _version.c_str(), sqlite3_errmsg(_ppDb)).c_str());
//info
+228 -37
View File
@@ -48,14 +48,15 @@ DBReader::DBReader(const std::string & databasePath,
bool ignoreGoalDelay,
bool goalsIgnored,
int startId,
int cameraIndex,
const std::vector<unsigned int> & cameraIndices,
int stopId,
bool intermediateNodesIgnored,
bool landmarksIgnored,
bool featuresIgnored,
int startMapId,
int stopMapId,
bool priorsIgnored) :
bool priorsIgnored,
const std::vector<Transform> & cameraLocalTransformOverrides) :
Camera(frameRate),
_paths(uSplit(databasePath, ';')),
_odometryIgnored(odometryIgnored),
@@ -63,13 +64,14 @@ DBReader::DBReader(const std::string & databasePath,
_goalsIgnored(goalsIgnored),
_startId(startId),
_stopId(stopId),
_cameraIndex(cameraIndex),
_cameraIndices(cameraIndices),
_intermediateNodesIgnored(intermediateNodesIgnored),
_landmarksIgnored(landmarksIgnored),
_featuresIgnored(featuresIgnored),
_priorsIgnored(priorsIgnored),
_startMapId(startMapId),
_stopMapId(stopMapId),
_cameraLocalTransformOverrides(cameraLocalTransformOverrides),
_dbDriver(0),
_currentId(_ids.end()),
_previousMapId(-1),
@@ -77,15 +79,7 @@ DBReader::DBReader(const std::string & databasePath,
_previousMapID(0),
_calibrated(false)
{
if(_stopId>0 && _stopId<_startId)
{
_stopId = _startId;
}
if(_stopMapId>-1 && _stopMapId<_startMapId)
{
_stopMapId = _startMapId;
}
checkArguments();
}
DBReader::DBReader(const std::list<std::string> & databasePaths,
@@ -94,14 +88,15 @@ DBReader::DBReader(const std::list<std::string> & databasePaths,
bool ignoreGoalDelay,
bool goalsIgnored,
int startId,
int cameraIndex,
const std::vector<unsigned int> & cameraIndices,
int stopId,
bool intermediateNodesIgnored,
bool landmarksIgnored,
bool featuresIgnored,
int startMapId,
int stopMapId,
bool priorsIgnored) :
bool priorsIgnored,
const std::vector<Transform> & cameraLocalTransformOverrides) :
Camera(frameRate),
_paths(databasePaths),
_odometryIgnored(odometryIgnored),
@@ -109,19 +104,25 @@ DBReader::DBReader(const std::list<std::string> & databasePaths,
_goalsIgnored(goalsIgnored),
_startId(startId),
_stopId(stopId),
_cameraIndex(cameraIndex),
_cameraIndices(cameraIndices),
_intermediateNodesIgnored(intermediateNodesIgnored),
_landmarksIgnored(landmarksIgnored),
_featuresIgnored(featuresIgnored),
_priorsIgnored(priorsIgnored),
_startMapId(startMapId),
_stopMapId(stopMapId),
_cameraLocalTransformOverrides(cameraLocalTransformOverrides),
_dbDriver(0),
_currentId(_ids.end()),
_previousMapId(-1),
_previousStamp(0),
_previousMapID(0),
_calibrated(false)
{
checkArguments();
}
void DBReader::checkArguments()
{
if(_stopId>0 && _stopId<_startId)
{
@@ -132,6 +133,28 @@ DBReader::DBReader(const std::list<std::string> & databasePaths,
{
_stopMapId = _startMapId;
}
if(!_cameraLocalTransformOverrides.empty())
{
if(!_cameraIndices.empty() &&
_cameraIndices.size() != _cameraLocalTransformOverrides.size())
{
UERROR("Camera local transform overrides (%d) are not the same size than the camera indices (%d). The overrides are ignored.",
_cameraLocalTransformOverrides.size(),
_cameraIndices.size()
);
_cameraLocalTransformOverrides.clear();
}
for(size_t i=0; i<_cameraLocalTransformOverrides.size(); ++i)
{
if(_cameraLocalTransformOverrides[i].isNull())
{
UERROR("Camera local transform overrides vector cannot contains null transforms! Clearing overrides.");
_cameraLocalTransformOverrides.clear();
break;
}
}
}
}
DBReader::~DBReader()
@@ -144,8 +167,8 @@ DBReader::~DBReader()
}
bool DBReader::init(
const std::string & calibrationFolder,
const std::string & cameraName)
const std::string &,
const std::string &)
{
if(_dbDriver)
{
@@ -557,34 +580,147 @@ SensorData DBReader::getNextData(SensorCaptureInfo * info)
}
data.uncompressData();
if(data.cameraModels().size() > 1 &&
_cameraIndex >= 0)
std::map<int, int> cameraOldNewIndices;
std::vector<CameraModel> dbModels = data.cameraModels();
if(dbModels.empty() && !data.stereoCameraModels().empty())
{
if(_cameraIndex < (int)data.cameraModels().size())
for(size_t i=0; i<data.stereoCameraModels().size(); ++i)
{
// select one camera
int subImageWidth = data.imageRaw().cols/data.cameraModels().size();
cv::Mat image;
dbModels.push_back(data.stereoCameraModels()[i].left());
}
}
if(!_cameraLocalTransformOverrides.empty() &&
!_cameraIndices.empty() &&
_cameraIndices.size() != _cameraLocalTransformOverrides.size())
{
UERROR("Camera local transform overrides (%d) are not the same size than the camera indices (%d). The overrides are ignored.",
_cameraLocalTransformOverrides.size(),
_cameraIndices.size()
);
_cameraLocalTransformOverrides.clear();
}
std::vector<Transform> combinedLocalTransforms;
if(dbModels.size() > 1 && !_cameraIndices.empty())
{
// update images and local transforms
cv::Mat combinedImages;
cv::Mat combinedDepthImages;
cv::Mat combinedDepthConfidenceImages;
std::vector<CameraModel> combinedModels;
std::vector<StereoCameraModel> combinedStereoModels;
for(size_t i=0; i<_cameraIndices.size(); ++i)
{
UASSERT_MSG(_cameraIndices[i] < dbModels.size(), uFormat("DBReader: camera index %ld is not valid (should be between 0 and %ld)",
_cameraIndices[i], dbModels.size()-1).c_str());
int addedCameras = std::max(combinedModels.size(), combinedStereoModels.size());
int subImageWidth = data.imageRaw().cols/dbModels.size();
UASSERT(!data.imageRaw().empty() &&
data.imageRaw().cols % data.cameraModels().size() == 0 &&
_cameraIndex*subImageWidth < data.imageRaw().cols);
image= cv::Mat(data.imageRaw(),
cv::Rect(_cameraIndex*subImageWidth, 0, subImageWidth, data.imageRaw().rows)).clone();
data.imageRaw().cols % dbModels.size() == 0 &&
(int)_cameraIndices[i]*subImageWidth < data.imageRaw().cols);
if(combinedImages.empty())
{
// initialize with first camera
combinedImages = cv::Mat(data.imageRaw().rows, subImageWidth*(_cameraIndices.size()-i), data.imageRaw().type());
}
cv::Mat fromROI = cv::Mat(data.imageRaw(), cv::Rect(_cameraIndices[i]*subImageWidth, 0, subImageWidth, data.imageRaw().rows));
cv::Mat toROI = cv::Mat(combinedImages, cv::Rect(addedCameras*subImageWidth, 0, subImageWidth, combinedImages.rows));
fromROI.copyTo(toROI);
cv::Mat depth;
if(!data.depthOrRightRaw().empty())
{
UASSERT(data.depthOrRightRaw().cols % data.cameraModels().size() == 0 &&
subImageWidth == data.depthOrRightRaw().cols/(int)data.cameraModels().size() &&
_cameraIndex*subImageWidth < data.depthOrRightRaw().cols);
depth = cv::Mat(data.depthOrRightRaw(),
cv::Rect(_cameraIndex*subImageWidth, 0, subImageWidth, data.depthOrRightRaw().rows)).clone();
subImageWidth = data.depthOrRightRaw().cols/dbModels.size();
UASSERT(data.depthOrRightRaw().cols % dbModels.size() == 0 &&
subImageWidth == data.depthOrRightRaw().cols/(int)dbModels.size() &&
(int)_cameraIndices[i]*subImageWidth < data.depthOrRightRaw().cols);
if(combinedDepthImages.empty())
{
// initialize with first camera
combinedDepthImages = cv::Mat(data.depthOrRightRaw().rows, subImageWidth*(_cameraIndices.size()-i), data.depthOrRightRaw().type());
}
fromROI = cv::Mat(data.depthOrRightRaw(), cv::Rect(_cameraIndices[i]*subImageWidth, 0, subImageWidth, data.depthOrRightRaw().rows));
toROI = cv::Mat(combinedDepthImages, cv::Rect(addedCameras*subImageWidth, 0, subImageWidth, combinedDepthImages.rows));
fromROI.copyTo(toROI);
if(!data.depthConfidenceRaw().empty())
{
UASSERT(data.depthConfidenceRaw().size() == data.depthOrRightRaw().size());
if(combinedDepthConfidenceImages.empty())
{
combinedDepthConfidenceImages = cv::Mat(data.depthConfidenceRaw().rows, subImageWidth*(_cameraIndices.size()-i), data.depthConfidenceRaw().type());
}
fromROI = cv::Mat(data.depthConfidenceRaw(), cv::Rect(_cameraIndices[i]*subImageWidth, 0, subImageWidth, data.depthConfidenceRaw().rows));
toROI = cv::Mat(combinedDepthConfidenceImages, cv::Rect(addedCameras*subImageWidth, 0, subImageWidth, combinedDepthConfidenceImages.rows));
fromROI.copyTo(toROI);
}
}
data.setRGBDImage(image, depth, data.cameraModels().at(_cameraIndex));
if(!data.cameraModels().empty())
{
CameraModel model = data.cameraModels()[_cameraIndices[i]];
if(!_cameraLocalTransformOverrides.empty())
{
model.setLocalTransform(_cameraLocalTransformOverrides[i] * CameraModel::opticalRotation());
}
combinedModels.push_back(model);
combinedLocalTransforms.push_back(model.localTransform());
}
else
{
StereoCameraModel stereoModel = data.stereoCameraModels()[_cameraIndices[i]];
if(!_cameraLocalTransformOverrides.empty())
{
stereoModel.setLocalTransform(_cameraLocalTransformOverrides[i] * CameraModel::opticalRotation());
}
combinedStereoModels.push_back(stereoModel);
combinedLocalTransforms.push_back(stereoModel.localTransform());
}
cameraOldNewIndices.insert(std::make_pair(_cameraIndices[i], i));
}
if(!combinedModels.empty())
{
data.setRGBDImage(combinedImages, combinedDepthImages, combinedDepthConfidenceImages, combinedModels);
}
else
{
UWARN("DBReader: Camera index %d doesn't exist! Camera models = %d.", _cameraIndex, (int)data.cameraModels().size());
data.setStereoImage(combinedImages, combinedDepthImages, combinedStereoModels);
}
}
else if(!_cameraLocalTransformOverrides.empty() &&
_cameraLocalTransformOverrides.size() == dbModels.size())
{
// just update local transforms
std::vector<CameraModel> combinedModels;
std::vector<StereoCameraModel> combinedStereoModels;
for(size_t i=0; i<dbModels.size(); ++i)
{
if(!data.cameraModels().empty())
{
CameraModel model = data.cameraModels()[i];
model.setLocalTransform(_cameraLocalTransformOverrides[i] * CameraModel::opticalRotation());
combinedModels.push_back(model);
combinedLocalTransforms.push_back(model.localTransform());
}
else
{
StereoCameraModel stereoModel = data.stereoCameraModels()[i];
stereoModel.setLocalTransform(_cameraLocalTransformOverrides[i] * CameraModel::opticalRotation());
combinedStereoModels.push_back(stereoModel);
combinedLocalTransforms.push_back(stereoModel.localTransform());
}
}
if(!combinedModels.empty())
{
data.setCameraModels(combinedModels);
}
else
{
data.setStereoCameraModels(combinedStereoModels);
}
}
data.setId(seq);
@@ -605,10 +741,11 @@ SensorData DBReader::getNextData(SensorCaptureInfo * info)
}
data.setLandmarks(landmarks);
UDEBUG("Laser=%d RGB/Left=%d Depth/Right=%d, Grid=%d, UserData=%d, GlobalPose=%d, GPS=%d, IMU=%d",
UDEBUG("Laser=%d RGB/Left=%d Depth/Right=%d, Conf=%d, Grid=%d, UserData=%d, GlobalPose=%d, GPS=%d, IMU=%d",
data.laserScanRaw().isEmpty()?0:1,
data.imageRaw().empty()?0:1,
data.depthOrRightRaw().empty()?0:1,
data.depthConfidenceRaw().empty()?0:1,
data.gridCellSize()==0.0f?0:1,
data.userDataRaw().empty()?0:1,
globalPose.isNull()?0:1,
@@ -623,14 +760,68 @@ SensorData DBReader::getNextData(SensorCaptureInfo * info)
(keypoints3D.empty() || keypoints.size() == keypoints3D.size()) &&
(descriptors.empty() || (int)keypoints.size() == descriptors.rows))
{
data.setFeatures(keypoints, keypoints3D, descriptors);
if(!cameraOldNewIndices.empty())
{
cv::Mat newDescriptors;
std::vector<cv::KeyPoint> newKeypoints;
std::vector<cv::Point3f> newKeypoints3D;
UASSERT(!dbModels.empty() && dbModels[0].imageWidth()>0);
int subImageWidth = dbModels[0].imageWidth();
for(size_t i = 0; i<keypoints.size(); ++i)
{
int cameraIndex = int(keypoints.at(i).pt.x / subImageWidth);
UASSERT_MSG(cameraIndex >= 0 && cameraIndex < (int)dbModels.size(),
uFormat("cameraIndex=%d, db models=%d, kpt.x=%f, image width=%d",
cameraIndex, (int)dbModels.size(), keypoints[i].pt.x, subImageWidth).c_str());
if(cameraOldNewIndices.find(cameraIndex) != cameraOldNewIndices.end())
{
int newCameraIndex = cameraOldNewIndices.at(cameraIndex);
newKeypoints.push_back(keypoints[i]);
newKeypoints.back().pt.x += (newCameraIndex-cameraIndex)*subImageWidth;
if(!keypoints3D.empty())
{
cv::Point3f pt = util3d::transformPoint(keypoints3D.at(i), dbModels[cameraIndex].localTransform().inverse());
pt = util3d::transformPoint(pt, combinedLocalTransforms[cameraIndex]);
newKeypoints3D.push_back(pt);
}
if(!descriptors.empty())
{
newDescriptors.push_back(descriptors.row(i));
}
}
}
data.setFeatures(newKeypoints, newKeypoints3D, newDescriptors);
}
else if(!combinedLocalTransforms.empty())
{
// We are overriding the camera local transforms, let's move 3D words accordingly
UASSERT(dbModels.size() == combinedLocalTransforms.size());
std::vector<cv::Point3f> newKeypoints3D;
UASSERT(dbModels[0].imageWidth()>0);
int subImageWidth = dbModels[0].imageWidth();
for(size_t i = 0; i<keypoints3D.size(); ++i)
{
int cameraIndex = int(keypoints.at(i).pt.x / subImageWidth);
UASSERT_MSG(cameraIndex >= 0 && cameraIndex < (int)dbModels.size(),
uFormat("cameraIndex=%d, db models=%d, kpt.x=%f, image width=%d",
cameraIndex, (int)dbModels.size(), keypoints[i].pt.x, subImageWidth).c_str());
cv::Point3f pt = util3d::transformPoint(keypoints3D.at(i), dbModels[cameraIndex].localTransform().inverse());
pt = util3d::transformPoint(pt, combinedLocalTransforms[cameraIndex]);
newKeypoints3D.push_back(pt);
}
data.setFeatures(keypoints, newKeypoints3D, descriptors);
}
else
{
data.setFeatures(keypoints, keypoints3D, descriptors);
}
}
else if(!_featuresIgnored && !keypoints.empty() && (!keypoints3D.empty() || !descriptors.empty()))
{
UERROR("Missing feature data, features won't be published.");
}
if(data.imageCompressed().empty() && s->getWeight()>=0 && keypoints.empty())
if(data.imageRaw().empty() && data.imageCompressed().empty() && s->getWeight()>=0 && keypoints.empty())
{
UWARN("No image loaded from the database for id=%d!", seq);
}
+25 -9
View File
@@ -688,7 +688,7 @@ Feature2D * Feature2D::create(Feature2D::Type type, const ParametersMap & parame
#ifndef RTABMAP_TORCH
if(type == Feature2D::kFeatureSuperPointTorch)
{
UWARN("SupertPoint Torch feature cannot be used as RTAB-Map is not built with the option enabled. GFTT/ORB is used instead.");
UWARN("SuperPoint Torch feature cannot be used as RTAB-Map is not built with the option enabled. GFTT/ORB is used instead.");
type = Feature2D::kFeatureGfttOrb;
}
#endif
@@ -908,25 +908,36 @@ std::vector<cv::Point3f> Feature2D::generateKeypoints3D(
if(d_imageLeft.empty()) {
d_imageLeft = cv::cuda::GpuMat(imageLeft);
}
// convert to grayscale
// convert to grayscale if not already
if(d_imageLeft.channels() > 1) {
cv::cuda::GpuMat tmp;
cv::cuda::cvtColor(d_imageLeft, tmp, cv::COLOR_BGR2GRAY);
d_imageLeft = tmp;
}
d_imageRight = data.depthOrRightRawGpu();
if(d_imageRight.empty()) {
d_imageRight = cv::cuda::GpuMat(imageRight);
}
// convert to grayscale if not already
if(d_imageRight.channels() > 1) {
cv::cuda::GpuMat tmp;
cv::cuda::cvtColor(d_imageRight, tmp, cv::COLOR_BGR2GRAY);
d_imageRight = tmp;
}
}
else
#endif
{
// convert to grayscale (right image should be already grayscale)
// convert to grayscale
if(imageLeft.channels() > 1)
{
cv::cvtColor(data.imageRaw(), imageLeft, cv::COLOR_BGR2GRAY);
}
if(imageRight.channels() > 1)
{
cv::cvtColor(data.rightRaw(), imageRight, cv::COLOR_BGR2GRAY);
}
}
std::vector<cv::Point2f> leftCorners;
@@ -1315,6 +1326,11 @@ std::vector<cv::KeyPoint> SIFT::generateKeypointsImpl(const cv::Mat & image, con
UASSERT(!image.empty() && image.channels() == 1 && image.depth() == CV_8U);
std::vector<cv::KeyPoint> keypoints;
cv::Mat imgRoi(image, roi);
cv::Mat maskRoi;
if(!mask.empty())
{
maskRoi = cv::Mat(mask, roi);
}
#ifdef RTABMAP_CUDASIFT
if(gpu_)
{
@@ -1383,6 +1399,12 @@ std::vector<cv::KeyPoint> SIFT::generateKeypointsImpl(const cv::Mat & image, con
//std::cout << cv::Mat(1, 128*4, CV_8UC1, desc) << std::endl;
continue;
}
// Ignore keypoints not in the mask
if(!maskRoi.empty() && maskRoi.at<unsigned char>(cudaSiftData_->h_data[i].ypos, cudaSiftData_->h_data[i].xpos) == 0)
{
continue;
}
//Keep track of the data, to be easier to manage the data in the next step
hessianMap.insert(std::pair<float, int>(cudaSiftData_->h_data[i].sharpness, i));
}
@@ -1412,12 +1434,6 @@ std::vector<cv::KeyPoint> SIFT::generateKeypointsImpl(const cv::Mat & image, con
else
#endif
{
cv::Mat maskRoi;
if(!mask.empty())
{
maskRoi = cv::Mat(mask, roi);
}
#if CV_MAJOR_VERSION < 3 || (CV_MAJOR_VERSION == 4 && CV_MINOR_VERSION <= 3) || (CV_MAJOR_VERSION == 3 && (CV_MINOR_VERSION < 4 || (CV_MINOR_VERSION==4 && CV_SUBMINOR_VERSION<11)))
#ifdef RTABMAP_NONFREE
sift_->detect(imgRoi, keypoints, maskRoi); // Opencv keypoints
+41 -19
View File
@@ -445,6 +445,10 @@ bool importPoses(
std::list<std::string> strList = uSplit(str);
if((strList.size() >= 8 && format!=11) || (strList.size() == 9 && format==11))
{
if(!uIsNumber(strList.front())) {
UWARN("Skipping \"%s\"", str.c_str());
continue;
}
double stamp = uStr2Double(strList.front());
strList.pop_front();
if(format==11)
@@ -744,9 +748,8 @@ void calcRelativeErrors (
// compute rotational and translational errors
Transform pose_delta_gt = poses_gt[i].inverse()*poses_gt[i+1];
Transform pose_delta_result = poses_result[i].inverse()*poses_result[i+1];
Transform pose_error = pose_delta_result.inverse()*pose_delta_gt;
float r_err = pose_error.getAngle();
float t_err = pose_error.getNorm();
float r_err = pose_delta_result.getAngle(pose_delta_gt);
float t_err = pose_delta_result.getDistance(pose_delta_gt);
// write to file
err.push_back(errors(i,r_err,t_err,0,0));
@@ -783,7 +786,8 @@ Transform calcRMSE (
float & rotational_median,
float & rotational_std,
float & rotational_min,
float & rotational_max)
float & rotational_max,
bool align2D)
{
translational_rmse = 0.0f;
@@ -815,8 +819,8 @@ Transform calcRMSE (
{
idFirst = iter->first;
}
cloud1[oi] = pcl::PointXYZ(jter->second.x(), jter->second.y(), jter->second.z());
cloud2[oi++] = pcl::PointXYZ(iter->second.x(), iter->second.y(), iter->second.z());
cloud1[oi] = pcl::PointXYZ(jter->second.x(), jter->second.y(), align2D?0:jter->second.z());
cloud2[oi++] = pcl::PointXYZ(iter->second.x(), iter->second.y(), align2D?0:iter->second.z());
}
}
@@ -957,12 +961,24 @@ void computeMaxGraphErrors(
return;
}
Transform t = t1.inverse()*t2;
Transform t;
Transform linkT;
if(iter->second.from() < 0)
{
// For landmarks, compare from node to landmark, in case we optimized only marker's position
t = t2.inverse()*t1;
linkT = iter->second.transform().inverse();
}
else
{
t = t1.inverse()*t2;
linkT = iter->second.transform();
}
float linearError = uMax3(
fabs(iter->second.transform().x() - t.x()),
fabs(iter->second.transform().y() - t.y()),
force3DoF?0:fabs(iter->second.transform().z() - t.z()));
fabs(linkT.x() - t.x()),
fabs(linkT.y() - t.y()),
force3DoF?0:fabs(linkT.z() - t.z()));
UASSERT(iter->second.transVariance(false)>0.0);
float stddevLinear = sqrt(iter->second.transVariance(false));
float linearErrorRatio = linearError/stddevLinear;
@@ -980,15 +996,21 @@ void computeMaxGraphErrors(
if(iter->second.type() != Link::kLandmark ||
1.0 / static_cast<double>(iter->second.infMatrix().at<double>(5,5)) < 9999.0)
{
float opt_roll,opt_pitch,opt_yaw;
float link_roll,link_pitch,link_yaw;
t.getEulerAngles(opt_roll, opt_pitch, opt_yaw);
iter->second.transform().getEulerAngles(link_roll, link_pitch, link_yaw);
float angularError = uMax3(
force3DoF?0:fabs(opt_roll - link_roll),
force3DoF?0:fabs(opt_pitch - link_pitch),
fabs(opt_yaw - link_yaw));
angularError = angularError>M_PI?2*M_PI-angularError:angularError;
float angularError = 0.0f;
if(force3DoF)
{
float opt_roll,opt_pitch,opt_yaw;
float link_roll,link_pitch,link_yaw;
t.getEulerAngles(opt_roll, opt_pitch, opt_yaw);
linkT.getEulerAngles(link_roll, link_pitch, link_yaw);
angularError = fabs(opt_yaw - link_yaw);
angularError = angularError>M_PI?2*M_PI-angularError:angularError;
}
else
{
angularError = t.getAngle(linkT);
}
UASSERT(iter->second.rotVariance(false)>0.0);
float stddevAngular = sqrt(iter->second.rotVariance(false));
float angularErrorRatio = angularError/stddevAngular;
+2 -2
View File
@@ -226,8 +226,8 @@ std::map<int, MarkerInfo> MarkerDetector::detect(const cv::Mat & image,
float rgbToDepthFactorY = 1.0f;
if(!depth.empty())
{
rgbToDepthFactorX = 1.0f/(model.imageWidth()>0?model.imageWidth()/depth.cols:1);
rgbToDepthFactorY = 1.0f/(model.imageHeight()>0?model.imageHeight()/depth.rows:1);
rgbToDepthFactorX = 1.0f/(model.imageWidth()>0?float(model.imageWidth())/float(depth.cols):1.0f);
rgbToDepthFactorY = 1.0f/(model.imageHeight()>0?float(model.imageHeight())/float(depth.rows):1.0f);
}
else if(markerLength_ == 0)
{
+181 -32
View File
@@ -80,6 +80,7 @@ Memory::Memory(const ParametersMap & parameters) :
_notLinkedNodesKeptInDb(Parameters::defaultMemNotLinkedNodesKept()),
_saveIntermediateNodeData(Parameters::defaultMemIntermediateNodeDataKept()),
_rgbCompressionFormat(Parameters::defaultMemImageCompressionFormat()),
_depthCompressionFormat(Parameters::defaultMemDepthCompressionFormat()),
_incrementalMemory(Parameters::defaultMemIncrementalMemory()),
_localizationDataSaved(Parameters::defaultMemLocalizationDataSaved()),
_reduceGraph(Parameters::defaultMemReduceGraph()),
@@ -91,6 +92,7 @@ Memory::Memory(const ParametersMap & parameters) :
_badSignaturesIgnored(Parameters::defaultMemBadSignaturesIgnored()),
_mapLabelsAdded(Parameters::defaultMemMapLabelsAdded()),
_depthAsMask(Parameters::defaultMemDepthAsMask()),
_maskFloorThreshold(Parameters::defaultMemDepthMaskFloorThr()),
_stereoFromMotion(Parameters::defaultMemStereoFromMotion()),
_imagePreDecimation(Parameters::defaultMemImagePreDecimation()),
_imagePostDecimation(Parameters::defaultMemImagePostDecimation()),
@@ -118,6 +120,7 @@ Memory::Memory(const ParametersMap & parameters) :
_detectMarkers(Parameters::defaultRGBDMarkerDetection()),
_markerLinVariance(Parameters::defaultMarkerVarianceLinear()),
_markerAngVariance(Parameters::defaultMarkerVarianceAngular()),
_markerOrientationIgnored(Parameters::defaultMarkerVarianceOrientationIgnored()),
_idCount(kIdStart),
_idMapCount(kIdStart),
_lastSignature(0),
@@ -567,6 +570,7 @@ void Memory::parseParameters(const ParametersMap & parameters)
Parameters::parse(params, Parameters::kMemNotLinkedNodesKept(), _notLinkedNodesKeptInDb);
Parameters::parse(params, Parameters::kMemIntermediateNodeDataKept(), _saveIntermediateNodeData);
Parameters::parse(params, Parameters::kMemImageCompressionFormat(), _rgbCompressionFormat);
Parameters::parse(params, Parameters::kMemDepthCompressionFormat(), _depthCompressionFormat);
Parameters::parse(params, Parameters::kMemRehearsalIdUpdatedToNewOne(), _idUpdatedToNewOneRehearsal);
Parameters::parse(params, Parameters::kMemGenerateIds(), _generateIds);
Parameters::parse(params, Parameters::kMemBadSignaturesIgnored(), _badSignaturesIgnored);
@@ -576,6 +580,7 @@ void Memory::parseParameters(const ParametersMap & parameters)
Parameters::parse(params, Parameters::kMemTransferSortingByWeightId(), _transferSortingByWeightId);
Parameters::parse(params, Parameters::kMemSTMSize(), _maxStMemSize);
Parameters::parse(params, Parameters::kMemDepthAsMask(), _depthAsMask);
Parameters::parse(params, Parameters::kMemDepthMaskFloorThr(), _maskFloorThreshold);
Parameters::parse(params, Parameters::kMemStereoFromMotion(), _stereoFromMotion);
Parameters::parse(params, Parameters::kMemImagePreDecimation(), _imagePreDecimation);
Parameters::parse(params, Parameters::kMemImagePostDecimation(), _imagePostDecimation);
@@ -611,8 +616,24 @@ void Memory::parseParameters(const ParametersMap & parameters)
Parameters::parse(params, Parameters::kRGBDMarkerDetection(), _detectMarkers);
Parameters::parse(params, Parameters::kMarkerVarianceLinear(), _markerLinVariance);
Parameters::parse(params, Parameters::kMarkerVarianceAngular(), _markerAngVariance);
Parameters::parse(params, Parameters::kMarkerVarianceOrientationIgnored(), _markerOrientationIgnored);
Parameters::parse(params, Parameters::kMemLocalizationDataSaved(), _localizationDataSaved);
if(_markerAngVariance>=9999)
{
UWARN("Using directly %s>=9999 to ignore marker orientation is deprecated. Use %s instead and "
"read correctly the description of the new parameter. We will enable %s and set %s to "
"same value than %s (%f) for backward compatibility.",
Parameters::kMarkerVarianceAngular().c_str(),
Parameters::kMarkerVarianceOrientationIgnored().c_str(),
Parameters::kMarkerVarianceOrientationIgnored().c_str(),
Parameters::kMarkerVarianceAngular().c_str(),
Parameters::kMarkerVarianceLinear().c_str(),
_markerLinVariance);
_markerAngVariance = _markerLinVariance;
_markerOrientationIgnored = true;
}
UASSERT_MSG(_maxStMemSize >= 0, uFormat("value=%d", _maxStMemSize).c_str());
UASSERT_MSG(_similarityThreshold >= 0.0f && _similarityThreshold <= 1.0f, uFormat("value=%f", _similarityThreshold).c_str());
UASSERT_MSG(_recentWmRatio >= 0.0f && _recentWmRatio <= 1.0f, uFormat("value=%f", _recentWmRatio).c_str());
@@ -4515,17 +4536,55 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
{
UDEBUG("");
SensorData data = inputData;
bool isIntermediateNode = data.id() < 0;
// uncompress data if needed
if(!isIntermediateNode)
{
// We need raw images if we need to extract features and/or do tag detection
bool needRawImages = _feature2D->getMaxFeatures() >= 0 &&
(!_useOdometryFeatures ||
data.keypoints().empty() ||
(int)data.keypoints().size() != data.descriptors().rows ||
data.descriptors().empty() ||
_detectMarkers ||
_rotateImagesUpsideUp ||
_imagePostDecimation > 1 ||
(_createOccupancyGrid && _localMapMaker->isGridFromDepth()));
// Note: we could avoid uncompressing scan if we don't do any filtering
// and if we don't use it for local occupancy grid
bool needRawScan = true;
if( (needRawImages && data.imageRaw().empty() && !data.imageCompressed().empty()) ||
(needRawImages && data.depthOrRightRaw().empty() && !data.depthOrRightCompressed().empty()) ||
(needRawScan && data.laserScanRaw().empty() && !data.laserScanCompressed().empty()))
{
cv::Mat left, right;
LaserScan laserScan;
UDEBUG("Uncompressing data...");
data.uncompressData(
needRawImages && data.imageRaw().empty() && !data.imageCompressed().empty() ? &left : 0,
needRawImages && data.depthOrRightRaw().empty() && !data.depthOrRightCompressed().empty() ? &right : 0,
needRawScan && data.laserScanRaw().empty() && !data.laserScanCompressed().empty() ? &laserScan : 0);
UDEBUG("Uncompressing data...done!");
}
}
UASSERT(data.imageRaw().empty() ||
data.imageRaw().type() == CV_8UC1 ||
data.imageRaw().type() == CV_8UC3);
UASSERT_MSG(data.depthOrRightRaw().empty() ||
( ( data.depthOrRightRaw().type() == CV_16UC1 ||
data.depthOrRightRaw().type() == CV_32FC1 ||
data.depthOrRightRaw().type() == CV_8UC1)
data.depthOrRightRaw().type() == CV_8UC1 ||
data.depthOrRightRaw().type() == CV_8UC3)
&&
( (data.imageRaw().empty() && data.depthOrRightRaw().type() != CV_8UC1) ||
( (data.imageRaw().empty() && !(data.depthOrRightRaw().type() == CV_8UC1 || data.depthOrRightRaw().type() == CV_8UC3)) ||
(data.depthOrRightRaw().rows <= data.imageRaw().rows && data.depthOrRightRaw().cols <= data.imageRaw().cols))),
uFormat("image=(%d/%d, type=%d, [accepted=%d,%d]) depth=(%d/%d, type=%d [accepted=%d(depth mm),%d(depth m),%d(stereo)]). "
uFormat("image=(%d/%d, type=%d, [accepted=%d,%d]) depth=(%d/%d, type=%d [accepted=%d(depth mm),%d(depth m),%d-%d(stereo)]). "
"For stereo, left and right images should be same size. "
"For RGB-D, depth can be X times smaller than RGB (where X is an integer).",
data.imageRaw().cols,
@@ -4536,7 +4595,7 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
data.depthOrRightRaw().cols,
data.depthOrRightRaw().rows,
data.depthOrRightRaw().type(),
CV_16UC1, CV_32FC1, CV_8UC1).c_str());
CV_16UC1, CV_32FC1, CV_8UC1, CV_8UC3).c_str());
if(!data.depthOrRightRaw().empty() &&
data.cameraModels().empty() &&
@@ -4555,7 +4614,6 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
float t;
std::vector<cv::KeyPoint> keypoints;
cv::Mat descriptors;
bool isIntermediateNode = data.id() < 0;
int id = data.id();
if(_generateIds)
{
@@ -4835,9 +4893,10 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
else
{
decimationDepth = (int)ceil(float(data.depthRaw().rows) / float(targetSize));
UASSERT(data.depthConfidenceRaw().empty() || data.depthConfidenceRaw().size() == data.depthRaw().size());
}
}
UDEBUG("decimation rgbOrLeft(rows=%d)=%d, depthOrRight(rows=%d)=%d", data.imageRaw().rows, _imagePreDecimation, data.depthOrRightRaw().rows, decimationDepth);
UDEBUG("decimation rgbOrLeft(rows=%d)=%d, depthOrRight(rows=%d)=%d (conf? %d)", data.imageRaw().rows, _imagePreDecimation, data.depthOrRightRaw().rows, decimationDepth, data.depthConfidenceRaw().empty()?0:1);
std::vector<CameraModel> cameraModels = decimatedData.cameraModels();
for(unsigned int i=0; i<cameraModels.size(); ++i)
@@ -4849,6 +4908,7 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
decimatedData.setRGBDImage(
util2d::decimate(decimatedData.imageRaw(), _imagePreDecimation),
util2d::decimate(decimatedData.depthOrRightRaw(), decimationDepth),
util2d::decimate(decimatedData.depthConfidenceRaw(), decimationDepth),
cameraModels);
}
@@ -4884,7 +4944,26 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
imageMono.cols % decimatedData.depthRaw().cols == 0 &&
imageMono.rows/decimatedData.depthRaw().rows == imageMono.cols/decimatedData.depthRaw().cols)
{
depthMask = util2d::interpolate(decimatedData.depthRaw(), imageMono.rows/decimatedData.depthRaw().rows, 0.1f);
depthMask = decimatedData.depthRaw();
if(_maskFloorThreshold != 0.0f)
{
UASSERT(!decimatedData.cameraModels().empty());
UDEBUG("Masking floor (threshold=%f)", _maskFloorThreshold);
if(_maskFloorThreshold<0.0f)
{
cv::Mat depthBelow;
util3d::filterFloor(depthMask, decimatedData.cameraModels(), _maskFloorThreshold*-1.0f, &depthBelow);
depthMask = depthBelow;
}
else
{
depthMask = util3d::filterFloor(depthMask, decimatedData.cameraModels(), _maskFloorThreshold);
}
UDEBUG("Masking floor done.");
}
depthMask = util2d::interpolate(depthMask, imageMono.rows/depthMask.rows, 0.1f);
}
else
{
@@ -5533,8 +5612,32 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
continue;
}
cv::Mat covariance = cv::Mat::eye(6,6,CV_64FC1);
covariance(cv::Range(0,3), cv::Range(0,3)) *= _markerLinVariance;
covariance(cv::Range(3,6), cv::Range(3,6)) *= _markerAngVariance;
if(_markerOrientationIgnored)
{
covariance(cv::Range(3,6), cv::Range(3,6)) *= 9999; // disable orientation estimation
bool isGTSAM = uStr2Int(uValue(parameters_, Parameters::kOptimizerStrategy(), uNumber2Str(Parameters::defaultOptimizerStrategy()))) == Optimizer::kTypeGTSAM;
if(!isGTSAM)
{
covariance(cv::Range(0,3), cv::Range(0,3)) *= _markerLinVariance;
}
else if(_registrationPipeline->force3DoF())
{
// Bearing/Range in 2D, set X as bearing and Y as range (see OptimizerGTSAM)
covariance(cv::Range(0,1), cv::Range(0,1)) *= _markerAngVariance;
covariance(cv::Range(1,3), cv::Range(1,3)) *= _markerLinVariance;
}
else
{
// Bearing/Range in 3D, set X and Y as bearing and Z as range (see OptimizerGTSAM)
covariance(cv::Range(0,2), cv::Range(0,2)) *= _markerAngVariance;
covariance(cv::Range(2,3), cv::Range(2,3)) *= _markerLinVariance;
}
}
else
{
covariance(cv::Range(0,3), cv::Range(0,3)) *= _markerLinVariance;
covariance(cv::Range(3,6), cv::Range(3,6)) *= _markerAngVariance;
}
landmarks.insert(std::make_pair(iter->first, Landmark(iter->first, iter->second.length(), iter->second.pose(), covariance)));
}
UDEBUG("Markers detected = %d", (int)markers.size());
@@ -5555,6 +5658,8 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
cv::Mat image = data.imageRaw();
cv::Mat depthOrRightImage = data.depthOrRightRaw();
cv::Mat depthConfidence = data.depthConfidenceRaw();
std::vector<CameraModel> cameraModels = data.cameraModels();
std::vector<StereoCameraModel> stereoCameraModels = data.stereoCameraModels();
@@ -5565,6 +5670,7 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
{
image = decimatedData.imageRaw();
depthOrRightImage = decimatedData.depthOrRightRaw();
depthConfidence = decimatedData.depthConfidenceRaw();
cameraModels = decimatedData.cameraModels();
stereoCameraModels = decimatedData.stereoCameraModels();
}
@@ -5731,8 +5837,8 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
}
}
// Filter the laser scan?
LaserScan laserScan = data.laserScanRaw();
// Filter the laser scan?
if(!isIntermediateNode && laserScan.size())
{
if(laserScan.rangeMax() == 0.0f)
@@ -5778,29 +5884,64 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
Signature * s;
if(this->isBinDataKept() && (!isIntermediateNode || _saveIntermediateNodeData))
{
UDEBUG("Bin data kept: rgb=%d, depth=%d, scan=%d, userData=%d",
UDEBUG("Bin data kept: rgb=%d, depth=%d, conf=%d, scan=%d, userData=%d",
image.empty()?0:1,
depthOrRightImage.empty()?0:1,
depthConfidence.empty()?0:1,
laserScan.isEmpty()?0:1,
data.userDataRaw().empty()?0:1);
std::vector<unsigned char> imageBytes;
std::vector<unsigned char> depthBytes;
if(_saveDepth16Format && !depthOrRightImage.empty() && depthOrRightImage.type() == CV_32FC1)
if(!depthOrRightImage.empty() && depthOrRightImage.type() == CV_32FC1)
{
UWARN("Save depth data to 16 bits format: depth type detected is 32FC1, use 16UC1 depth format to avoid this conversion (or set parameter \"Mem/SaveDepth16Format\"=false to use 32bits format).");
depthOrRightImage = util2d::cvtDepthFromFloat(depthOrRightImage);
if(_saveDepth16Format)
{
static bool warned = false;
if(!warned)
{
UWARN("Converting depth data to 16 bits format because depth type detected is 32FC1, "
"feed 16UC1 depth format directly to avoid this conversion (or set parameter %s=false "
"to save 32bits format). This warning is only printed once.",
Parameters::kMemSaveDepth16Format().c_str());
warned = true;
}
depthOrRightImage = util2d::cvtDepthFromFloat(depthOrRightImage);
}
else if(_depthCompressionFormat == ".rvl")
{
static bool warned = false;
if(!warned)
{
UWARN("%s is set to false to use 32bits format but this is not "
"compatible with the compressed depth format chosen (%s=\"%s\"), depth "
"images will be compressed in \".png\" format instead. Explicitly "
"set %s to true to keep using \"%s\" format and images will be "
"converted to 16bits for convenience (warning: that would "
"remove all depth values over 65 meters). Explicitly set %s=\".png\" "
"to suppress this warning. This warning is only printed once.",
Parameters::kMemSaveDepth16Format().c_str(),
Parameters::kMemDepthCompressionFormat().c_str(),
_depthCompressionFormat.c_str(),
Parameters::kMemSaveDepth16Format().c_str(),
_depthCompressionFormat.c_str(),
Parameters::kMemDepthCompressionFormat().c_str());
warned = true;
}
}
}
cv::Mat compressedImage;
cv::Mat compressedDepth;
cv::Mat compressedDepthConfidence;
cv::Mat compressedScan;
cv::Mat compressedUserData;
if(_compressionParallelized)
{
rtabmap::CompressionThread ctImage(image, _rgbCompressionFormat);
rtabmap::CompressionThread ctDepth(depthOrRightImage, depthOrRightImage.type() == CV_32FC1 || depthOrRightImage.type() == CV_16UC1?std::string(".png"):_rgbCompressionFormat);
rtabmap::CompressionThread ctDepth(depthOrRightImage, depthOrRightImage.type() == CV_32FC1 || depthOrRightImage.type() == CV_16UC1?_depthCompressionFormat:_rgbCompressionFormat);
rtabmap::CompressionThread ctDepthConfidence(depthConfidence);
rtabmap::CompressionThread ctLaserScan(laserScan.data());
rtabmap::CompressionThread ctUserData(data.userDataRaw());
if(!image.empty())
@@ -5811,6 +5952,10 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
{
ctDepth.start();
}
if(!depthConfidence.empty())
{
ctDepthConfidence.start();
}
if(!laserScan.isEmpty())
{
ctLaserScan.start();
@@ -5821,18 +5966,21 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
}
ctImage.join();
ctDepth.join();
ctDepthConfidence.join();
ctLaserScan.join();
ctUserData.join();
compressedImage = ctImage.getCompressedData();
compressedDepth = ctDepth.getCompressedData();
compressedDepthConfidence = ctDepthConfidence.getCompressedData();
compressedScan = ctLaserScan.getCompressedData();
compressedUserData = ctUserData.getCompressedData();
}
else
{
compressedImage = compressImage2(image, _rgbCompressionFormat);
compressedDepth = compressImage2(depthOrRightImage, depthOrRightImage.type() == CV_32FC1 || depthOrRightImage.type() == CV_16UC1?std::string(".png"):_rgbCompressionFormat);
compressedDepth = compressImage2(depthOrRightImage, depthOrRightImage.type() == CV_32FC1 || depthOrRightImage.type() == CV_16UC1?_depthCompressionFormat:_rgbCompressionFormat);
compressedDepthConfidence = compressData2(depthConfidence);
compressedScan = compressData2(laserScan.data());
compressedUserData = compressData2(data.userDataRaw());
}
@@ -5847,12 +5995,12 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
!stereoCameraModels.empty()?
SensorData(
laserScan.angleIncrement() == 0.0f?
LaserScan(compressedScan,
LaserScan(compressedScan.empty()?data.laserScanCompressed().data():compressedScan,
laserScan.maxPoints(),
laserScan.rangeMax(),
laserScan.format(),
laserScan.localTransform()):
LaserScan(compressedScan,
LaserScan(compressedScan.empty()?data.laserScanCompressed().data():compressedScan,
laserScan.format(),
laserScan.rangeMin(),
laserScan.rangeMax(),
@@ -5860,20 +6008,20 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
laserScan.angleMax(),
laserScan.angleIncrement(),
laserScan.localTransform()),
compressedImage,
compressedDepth,
compressedImage.empty()?data.imageCompressed():compressedImage,
compressedDepth.empty()?data.depthOrRightCompressed():compressedDepth,
stereoCameraModels,
id,
0,
compressedUserData):
SensorData(
laserScan.angleIncrement() == 0.0f?
LaserScan(compressedScan,
LaserScan(compressedScan.empty()?data.laserScanCompressed().data():compressedScan,
laserScan.maxPoints(),
laserScan.rangeMax(),
laserScan.format(),
laserScan.localTransform()):
LaserScan(compressedScan,
LaserScan(compressedScan.empty()?data.laserScanCompressed().data():compressedScan,
laserScan.format(),
laserScan.rangeMin(),
laserScan.rangeMax(),
@@ -5881,8 +6029,9 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
laserScan.angleMax(),
laserScan.angleIncrement(),
laserScan.localTransform()),
compressedImage,
compressedDepth,
compressedImage.empty()?data.imageCompressed():compressedImage,
compressedDepth.empty()?data.depthOrRightCompressed():compressedDepth,
compressedDepthConfidence.empty()?data.depthConfidenceCompressed():compressedDepthConfidence,
cameraModels,
id,
0,
@@ -5931,12 +6080,12 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
!stereoCameraModels.empty()?
SensorData(
laserScan.angleIncrement() == 0.0f?
LaserScan(compressedScan,
LaserScan(compressedScan.empty()?data.laserScanCompressed().data():compressedScan,
laserScan.maxPoints(),
laserScan.rangeMax(),
laserScan.format(),
laserScan.localTransform()):
LaserScan(compressedScan,
LaserScan(compressedScan.empty()?data.laserScanCompressed().data():compressedScan,
laserScan.format(),
laserScan.rangeMin(),
laserScan.rangeMax(),
@@ -5952,12 +6101,12 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
compressedUserData):
SensorData(
laserScan.angleIncrement() == 0.0f?
LaserScan(compressedScan,
LaserScan(compressedScan.empty()?data.laserScanCompressed().data():compressedScan,
laserScan.maxPoints(),
laserScan.rangeMax(),
laserScan.format(),
laserScan.localTransform()):
LaserScan(compressedScan,
LaserScan(compressedScan.empty()?data.laserScanCompressed().data():compressedScan,
laserScan.format(),
laserScan.rangeMin(),
laserScan.rangeMax(),
@@ -5980,7 +6129,7 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
// set raw data
if(!cameraModels.empty())
{
s->sensorData().setRGBDImage(image, depthOrRightImage, cameraModels, false);
s->sensorData().setRGBDImage(image, depthOrRightImage, depthConfidence, cameraModels, false);
}
else
{
@@ -6077,13 +6226,13 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
UINFO("Added GPS origin: long=%f lat=%f alt=%f bearing=%f error=%f", data.gps().longitude(), data.gps().latitude(), data.gps().altitude(), data.gps().bearing(), data.gps().error());
}
cv::Point3f pt = data.gps().toGeodeticCoords().toENU_WGS84(_gpsOrigin.toGeodeticCoords());
Transform gpsPose(pt.x, pt.y, pose.z(), 0, 0, -(data.gps().bearing()-90.0)*M_PI/180.0);
Transform gpsPose(pt.x, pt.y, data.gps().altitude(), 0, 0, -(data.gps().bearing()-90.0)*M_PI/180.0);
cv::Mat gpsInfMatrix = cv::Mat::eye(6,6,CV_64FC1)/9999.0; // variance not used >= 9999
UDEBUG("Added GPS prior: x=%f y=%f z=%f yaw=%f", gpsPose.x(), gpsPose.y(), gpsPose.z(), gpsPose.theta());
// only set x, y as we don't know variance for other degrees of freedom.
// only set x, y, z as we don't know variance for other degrees of freedom.
gpsInfMatrix.at<double>(0,0) = gpsInfMatrix.at<double>(1,1) = 1.0/data.gps().error();
gpsInfMatrix.at<double>(2,2) = 1; // z variance is set to avoid issues with g2o and gtsam requiring a prior on Z
gpsInfMatrix.at<double>(2,2) = data.gps().error()>1.0?1.0/data.gps().error():1.0;
s->addLink(Link(s->id(), s->id(), Link::kPosePrior, gpsPose, gpsInfMatrix));
}
else
+11
View File
@@ -322,7 +322,9 @@ Transform Odometry::process(SensorData & data, const Transform & guessIn, Odomet
Transform previous = this->getPose();
Transform newFramePose = Transform(previous.x(), previous.y(), previous.z(), imuQuat.x(), imuQuat.y(), imuQuat.z(), imuQuat.w());
UWARN("Updated initial pose from %s to %s with IMU orientation", previous.prettyPrint().c_str(), newFramePose.prettyPrint().c_str());
std::map<double, rtabmap::Transform> imus = imus_;
this->reset(newFramePose);
imus_ = imus;
}
imus_.insert(std::make_pair(data.stamp(), imuT));
@@ -337,6 +339,15 @@ Transform Odometry::process(SensorData & data, const Transform & guessIn, Odomet
}
}
if((data.imageRaw().empty() && !data.imageCompressed().empty()) ||
(data.depthOrRightRaw().empty() && !data.depthOrRightCompressed().empty()) ||
(data.laserScanRaw().empty() && !data.laserScanCompressed().empty()))
{
UDEBUG("Received compressed data, uncompressing...");
data.uncompressData();
UDEBUG("Received compressed data, uncompressing...done!");
}
if(!data.imageRaw().empty())
{
UDEBUG("Processing image data %dx%d: rgbd models=%ld, stereo models=%ld",
+219
View File
@@ -0,0 +1,219 @@
/*
Copyright (c) 2010-2025, 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 "rtabmap/core/OdometryInfo.h"
#include <rtabmap/utilite/UConversion.h>
namespace rtabmap {
OdometryInfo::OdometryInfo() :
lost(true),
features(0),
localMapSize(0),
localScanMapSize(0),
localKeyFrames(0),
localBundleOutliers(0),
localBundleConstraints(0),
localBundleTime(0),
localBundleAvgInlierDistance(0.0f),
localBundleMaxKeyFramesForInlier(0),
keyFrameAdded(false),
timeDeskewing(0.0f),
timeEstimation(0.0f),
timeParticleFiltering(0.0f),
stamp(0),
interval(0),
distanceTravelled(0.0f),
memoryUsage(0),
gravityRollError(0.0),
gravityPitchError(0.0),
type(0)
{}
OdometryInfo OdometryInfo::copyWithoutData() const
{
OdometryInfo output;
output.lost = lost;
output.reg = reg.copyWithoutData();
output.features = features;
output.localMapSize = localMapSize;
output.localScanMapSize = localScanMapSize;
output.localKeyFrames = localKeyFrames;
output.localBundleOutliers = localBundleOutliers;
output.localBundleConstraints = localBundleConstraints;
output.localBundleTime = localBundleTime;
output.localBundlePoses = localBundlePoses;
output.localBundleModels = localBundleModels;
output.localBundleAvgInlierDistance = localBundleAvgInlierDistance;
output.localBundleMaxKeyFramesForInlier = localBundleMaxKeyFramesForInlier;
output.localBundleOutliersPerCam = localBundleOutliersPerCam;
output.keyFrameAdded = keyFrameAdded;
output.timeDeskewing = timeDeskewing;
output.timeEstimation = timeEstimation;
output.timeParticleFiltering = timeParticleFiltering;
output.stamp = stamp;
output.interval = interval;
output.transform = transform;
output.transformFiltered = transformFiltered;
output.transformGroundTruth = transformGroundTruth;
output.guessVelocity = guessVelocity;
output.guess = guess;
output.distanceTravelled = distanceTravelled;
output.memoryUsage = memoryUsage;
output.gravityRollError = gravityRollError;
output.gravityPitchError = gravityPitchError;
output.type = type;
return output;
}
std::map<std::string, float> OdometryInfo::statistics(const Transform & pose)
{
std::map<std::string, float> stats;
stats.insert(std::make_pair("Odometry/TimeRegistration/ms", reg.totalTime*1000.0f));
stats.insert(std::make_pair("Odometry/RAM_usage/MB", memoryUsage));
// Based on rtabmap/MainWindow.cpp
stats.insert(std::make_pair("Odometry/Features/", features));
stats.insert(std::make_pair("Odometry/Matches/", reg.matches));
stats.insert(std::make_pair("Odometry/MatchesRatio/", features<=0?0.0f:float(reg.inliers)/float(features)));
stats.insert(std::make_pair("Odometry/Inliers/", reg.inliers));
stats.insert(std::make_pair("Odometry/InliersMeanDistance/m", reg.inliersMeanDistance));
stats.insert(std::make_pair("Odometry/InliersDistribution/", reg.inliersDistribution));
stats.insert(std::make_pair("Odometry/InliersRatio/", reg.inliers));
for(size_t i=0; i<reg.matchesPerCam.size(); ++i)
{
stats.insert(std::make_pair(uFormat("Odometry/matchesCam%ld/", i), reg.matchesPerCam[i]));
}
for(size_t i=0; i<reg.inliersPerCam.size(); ++i)
{
stats.insert(std::make_pair(uFormat("Odometry/inliersCam%ld/", i), reg.inliersPerCam[i]));
}
if(reg.matchesPerCam.size() == reg.inliersPerCam.size())
{
for(size_t i=0; i<reg.matchesPerCam.size(); ++i)
{
stats.insert(std::make_pair(uFormat("Odometry/inliersRatioCam%ld/", i), reg.matchesPerCam[i]>0 ? (float)reg.inliersPerCam[i] / (float)reg.matchesPerCam[i] : 0.0f));
}
}
stats.insert(std::make_pair("Odometry/ICPInliersRatio/", reg.icpInliersRatio));
stats.insert(std::make_pair("Odometry/ICPRotation/rad", reg.icpRotation));
stats.insert(std::make_pair("Odometry/ICPTranslation/m", reg.icpTranslation));
stats.insert(std::make_pair("Odometry/ICPStructuralComplexity/", reg.icpStructuralComplexity));
stats.insert(std::make_pair("Odometry/ICPStructuralDistribution/", reg.icpStructuralDistribution));
stats.insert(std::make_pair("Odometry/ICPCorrespondences/", reg.icpCorrespondences));
stats.insert(std::make_pair("Odometry/StdDevLin/", sqrt((float)reg.covariance.at<double>(0,0))));
stats.insert(std::make_pair("Odometry/StdDevAng/", sqrt((float)reg.covariance.at<double>(5,5))));
stats.insert(std::make_pair("Odometry/VarianceLin/", (float)reg.covariance.at<double>(0,0)));
stats.insert(std::make_pair("Odometry/VarianceAng/", (float)reg.covariance.at<double>(5,5)));
stats.insert(std::make_pair("Odometry/TimeEstimation/ms", timeEstimation*1000.0f));
stats.insert(std::make_pair("Odometry/TimeFiltering/ms", timeParticleFiltering*1000.0f));
stats.insert(std::make_pair("Odometry/LocalMapSize/", localMapSize));
stats.insert(std::make_pair("Odometry/LocalScanMapSize/", localScanMapSize));
stats.insert(std::make_pair("Odometry/LocalKeyFrames/", localKeyFrames));
stats.insert(std::make_pair("Odometry/LocalBundleOutliers/", localBundleOutliers));
stats.insert(std::make_pair("Odometry/LocalBundleConstraints/", localBundleConstraints));
stats.insert(std::make_pair("Odometry/LocalBundleTime/ms", localBundleTime*1000.0f));
stats.insert(std::make_pair("Odometry/localBundleAvgInlierDistance/pix", localBundleAvgInlierDistance));
stats.insert(std::make_pair("Odometry/localBundleMaxKeyFramesForInlier/", localBundleMaxKeyFramesForInlier));
for(size_t i=0; i<localBundleOutliersPerCam.size(); ++i)
{
stats.insert(std::make_pair(uFormat("Odometry/localBundleOutliersCam%ld/", i), localBundleOutliersPerCam[i]));
}
stats.insert(std::make_pair("Odometry/KeyFrameAdded/", keyFrameAdded?1.0f:0.0f));
stats.insert(std::make_pair("Odometry/Interval/ms", (float)interval));
stats.insert(std::make_pair("Odometry/Distance/m", distanceTravelled));
float x,y,z,roll,pitch,yaw;
if(!pose.isNull())
{
pose.getTranslationAndEulerAngles(x,y,z,roll,pitch,yaw);
stats.insert(std::make_pair("Odometry/Px/m", x));
stats.insert(std::make_pair("Odometry/Py/m", y));
stats.insert(std::make_pair("Odometry/Pz/m", z));
stats.insert(std::make_pair("Odometry/Proll/deg", roll*180.0/CV_PI));
stats.insert(std::make_pair("Odometry/Ppitch/deg", pitch*180.0/CV_PI));
stats.insert(std::make_pair("Odometry/Pyaw/deg", yaw*180.0/CV_PI));
}
float dist = 0.0f, speed=0.0f;
if(!transform.isNull())
{
transform.getTranslationAndEulerAngles(x,y,z,roll,pitch,yaw);
dist = transform.getNorm();
stats.insert(std::make_pair("Odometry/T/m", dist));
stats.insert(std::make_pair("Odometry/Tx/m", x));
stats.insert(std::make_pair("Odometry/Ty/m", y));
stats.insert(std::make_pair("Odometry/Tz/m", z));
stats.insert(std::make_pair("Odometry/Troll/deg", roll*180.0/CV_PI));
stats.insert(std::make_pair("Odometry/Tpitch/deg", pitch*180.0/CV_PI));
stats.insert(std::make_pair("Odometry/Tyaw/deg", yaw*180.0/CV_PI));
if(interval>0.0)
{
speed = dist/interval;
stats.insert(std::make_pair("Odometry/Speed/kph", speed*3.6));
stats.insert(std::make_pair("Odometry/Speed/mph", speed*2.237));
stats.insert(std::make_pair("Odometry/Speed/mps", speed));
stats.insert(std::make_pair("Odometry/Vx/mps", x/interval));
stats.insert(std::make_pair("Odometry/Vy/mps", y/interval));
stats.insert(std::make_pair("Odometry/Vz/mps", z/interval));
stats.insert(std::make_pair("Odometry/Vroll/degps", (roll*180.0/CV_PI)/interval));
stats.insert(std::make_pair("Odometry/Vpitch/degps", (pitch*180.0/CV_PI)/interval));
stats.insert(std::make_pair("Odometry/Vyaw/degps", (yaw*180.0/CV_PI)/interval));
}
}
if(!transformGroundTruth.isNull())
{
if(!transform.isNull())
{
stats.insert(std::make_pair("Odometry/TG_error_lin/m", transformGroundTruth.getDistance(transform)));
stats.insert(std::make_pair("Odometry/TG_error_ang/deg", transformGroundTruth.getAngle(transform)*180.0/CV_PI));
}
transformGroundTruth.getTranslationAndEulerAngles(x,y,z,roll,pitch,yaw);
dist = transformGroundTruth.getNorm();
stats.insert(std::make_pair("Odometry/TG/m", dist));
stats.insert(std::make_pair("Odometry/TGx/m", x));
stats.insert(std::make_pair("Odometry/TGy/m", y));
stats.insert(std::make_pair("Odometry/TGz/m", z));
stats.insert(std::make_pair("Odometry/TGroll/deg", roll*180.0/CV_PI));
stats.insert(std::make_pair("Odometry/TGpitch/deg", pitch*180.0/CV_PI));
stats.insert(std::make_pair("Odometry/TGyaw/deg", yaw*180.0/CV_PI));
if(interval>0.0)
{
speed = dist/interval;
stats.insert(std::make_pair("Odometry/SpeedG/kph", speed*3.6));
stats.insert(std::make_pair("Odometry/SpeedG/mph", speed*2.237));
stats.insert(std::make_pair("Odometry/SpeedG/mps", speed));
}
}
return stats;
}
} // namespace rtabmap
+42 -24
View File
@@ -40,8 +40,8 @@ OdometryThread::OdometryThread(Odometry * odometry, unsigned int dataBufferMaxSi
_dataBufferMaxSize(dataBufferMaxSize),
_resetOdometry(false),
_resetPose(Transform::getIdentity()),
_lastImuStamp(0.0),
_imuEstimatedDelay(0.0)
_oldestAsyncImuStamp(0.0),
_newestAsyncImuStamp(0.0)
{
UASSERT(_odometry != 0);
}
@@ -110,7 +110,8 @@ void OdometryThread::mainLoop()
UScopeMutex lock(_dataMutex);
_dataBuffer.clear();
_imuBuffer.clear();
_lastImuStamp = 0.0f;
_oldestAsyncImuStamp = 0.0;
_newestAsyncImuStamp = 0.0;
}
SensorData data;
@@ -155,24 +156,45 @@ void OdometryThread::addData(const SensorData & data)
bool notify = true;
_dataMutex.lock();
{
if(!data.imageRaw().empty() || !data.laserScanRaw().isEmpty() || data.imu().empty())
if( !data.imageRaw().empty() ||
!data.imageCompressed().empty() ||
!data.laserScanRaw().isEmpty() ||
!data.laserScanCompressed().empty() ||
data.imu().empty())
{
_dataBuffer.push_back(data);
while(_dataBufferMaxSize > 0 && _dataBuffer.size() > _dataBufferMaxSize)
{
UDEBUG("Data buffer is full, the oldest data is removed to add the new one.");
_dataBuffer.erase(_dataBuffer.begin());
if(_oldestAsyncImuStamp > 0.0 && data.stamp() < _oldestAsyncImuStamp) {
UWARN("Received image/lidar with stamp (%f) older than oldest received imu "
"(%f), skipping that frame (imu buffer size=%ld). "
"When using async IMU, make sure IMU is published faster "
"than camera/lidar (assuming IMU latency is very small compared to camera/lidar).",
data.stamp(), _oldestAsyncImuStamp, _imuBuffer.size());
notify = false;
}
else if(_newestAsyncImuStamp > 0.0 && data.stamp()>=_newestAsyncImuStamp) {
UWARN("Received image/lidar with stamp (%f) newer than latest received imu "
"(%f), skipping that frame (imu buffer size=%ld). "
"When using async IMU, make sure IMU is published faster "
"than camera/lidar (assuming IMU latency is very small compared to camera/lidar).",
data.stamp(), _newestAsyncImuStamp, _imuBuffer.size());
notify = false;
}
else {
_dataBuffer.push_back(data);
while(_dataBufferMaxSize > 0 && _dataBuffer.size() > _dataBufferMaxSize)
{
UDEBUG("Data buffer is full, the oldest data is removed to add the new one.");
_dataBuffer.erase(_dataBuffer.begin());
notify = false;
}
}
}
else
{
_imuBuffer.push_back(data);
if(_lastImuStamp != 0.0 && data.stamp() > _lastImuStamp)
{
_imuEstimatedDelay = data.stamp() - _lastImuStamp;
if(_oldestAsyncImuStamp == 0) {
_oldestAsyncImuStamp = data.stamp();
}
_lastImuStamp = data.stamp();
_newestAsyncImuStamp = data.stamp();
}
}
_dataMutex.unlock();
@@ -191,18 +213,14 @@ bool OdometryThread::getData(SensorData & data)
{
if(!_dataBuffer.empty())
{
if(!_imuBuffer.empty())
// Send IMU up to stamp greater than image (OpenVINS needs this).
while(!_imuBuffer.empty())
{
// Send IMU up to stamp greater than image (OpenVINS needs this).
while(!_imuBuffer.empty())
{
_odometry->process(_imuBuffer.front());
double stamp = _imuBuffer.front().stamp();
_imuBuffer.pop_front();
if(stamp > _dataBuffer.front().stamp())
{
break;
}
_odometry->process(_imuBuffer.front());
double stamp =_imuBuffer.front().stamp();
_imuBuffer.pop_front();
if(stamp > _dataBuffer.front().stamp()) {
break;
}
}
+25 -14
View File
@@ -447,7 +447,8 @@ std::map<int, Transform> Optimizer::optimizeBA(
const std::map<int, Signature> & signatures,
std::map<int, cv::Point3f> & points3DMap,
std::map<int, std::map<int, FeatureBA> > & wordReferences,
bool rematchFeatures)
bool rematchFeatures,
const ParametersMap & registrationParameters)
{
UDEBUG("");
std::map<int, std::vector<CameraModel> > multiModels;
@@ -497,7 +498,7 @@ std::map<int, Transform> Optimizer::optimizeBA(
}
// compute correspondences
this->computeBACorrespondences(poses, links, signatures, points3DMap, wordReferences, rematchFeatures);
this->computeBACorrespondences(poses, links, signatures, points3DMap, wordReferences, rematchFeatures, false, registrationParameters);
return optimizeBA(rootId, poses, links, multiModels, points3DMap, wordReferences);
}
@@ -507,11 +508,12 @@ std::map<int, Transform> Optimizer::optimizeBA(
const std::map<int, Transform> & poses,
const std::multimap<int, Link> & links,
const std::map<int, Signature> & signatures,
bool rematchFeatures)
bool rematchFeatures,
const ParametersMap & registrationParameters)
{
std::map<int, cv::Point3f> points3DMap;
std::map<int, std::map<int, FeatureBA> > wordReferences;
return optimizeBA(rootId, poses, links, signatures, points3DMap, wordReferences, rematchFeatures);
return optimizeBA(rootId, poses, links, signatures, points3DMap, wordReferences, rematchFeatures, registrationParameters);
}
Transform Optimizer::optimizeBA(
@@ -556,11 +558,21 @@ void Optimizer::computeBACorrespondences(
const std::map<int, Signature> & signatures,
std::map<int, cv::Point3f> & points3DMap,
std::map<int, std::map<int, FeatureBA> > & wordReferences,
bool rematchFeatures)
bool rematchFeatures,
bool useLinkTransformAsGuess,
ParametersMap registrationParameters)
{
UDEBUG("rematchFeatures=%d", rematchFeatures?1:0);
int wordCount = 0;
int edgeWithWordsAdded = 0;
// Some defaults if not provided
registrationParameters.insert(ParametersPair(Parameters::kVisEstimationType(), "1"));
registrationParameters.insert(ParametersPair(Parameters::kVisPnPReprojError(), "5"));
registrationParameters.insert(ParametersPair(Parameters::kVisMinInliers(), "6"));
registrationParameters.insert(ParametersPair(Parameters::kVisCorNNDR(), "0.6"));
RegistrationVis reg(registrationParameters);
std::map<int, std::map<cv::KeyPoint, int, KeyPointCompare> > frameToWordMap; // <FrameId, <Keypoint, wordId> >
for(std::multimap<int, Link>::const_iterator iter=links.lower_bound(1); iter!=links.end(); ++iter)
{
@@ -600,22 +612,21 @@ void Optimizer::computeBACorrespondences(
sTo.getWords().size() &&
sFrom.getWords3().size())
{
ParametersMap regParam;
regParam.insert(ParametersPair(Parameters::kVisEstimationType(), "1"));
regParam.insert(ParametersPair(Parameters::kVisPnPReprojError(), "5"));
regParam.insert(ParametersPair(Parameters::kVisMinInliers(), "6"));
regParam.insert(ParametersPair(Parameters::kVisCorNNDR(), "0.6"));
RegistrationVis reg(regParam);
if(!rematchFeatures)
{
sFrom.setWordsDescriptors(cv::Mat());
sTo.setWordsDescriptors(cv::Mat());
}
else if(sFrom.getWordsDescriptors().empty() && sTo.getWordsDescriptors().empty())
{
UWARN("Rematching features is enabled but signatures (%d and %d) don't have word descriptors!? "
"Features won't be rematched. If it is an old database, do rtabmap-reprocess "
"so that signatures contain word desriptors.",
sFrom.id(), sTo.id());
}
RegistrationInfo info;
Transform t = reg.computeTransformationMod(sFrom, sTo, Transform(), &info);
//Transform t = reg.computeTransformationMod(sFrom, sTo, iter->second.transform(), &info);
Transform t = reg.computeTransformationMod(sFrom, sTo, useLinkTransformAsGuess?iter->second.transform():Transform(), &info);
UDEBUG("%d->%d, inliers=%d",sFrom.id(), sTo.id(), (int)info.inliersIDs.size());
if(!t.isNull())
+10 -5
View File
@@ -115,13 +115,14 @@ int savePDALFile(const std::string & filePath,
pdal::StageFactory factory;
std::string ext = UFile::getExtension(filePath);
pdal::Stage *writer = factory.createStage("writers." + ext);
pdal::Stage *writer = factory.createStage("writers." + (ext.compare("laz")==0?"las":ext));
if(writer)
{
pdal::Options writerOps;
writerOps.add("filename", filePath);
if(ext.compare("ply")==0) writerOps.add("storage_mode", binary?"little endian":"ascii"); // PLY
if(ext.compare("pcd")==0) writerOps.add("compression", binary?"binary":"ascii"); // PCD
if(ext.compare("laz")==0) writerOps.add("compression", "lazperf");
writer->setOptions(writerOps);
writer->setInput(bufferReader);
@@ -221,13 +222,14 @@ int savePDALFile(const std::string & filePath,
pdal::StageFactory factory;
std::string ext = UFile::getExtension(filePath);
pdal::Stage *writer = factory.createStage("writers." + ext);
pdal::Stage *writer = factory.createStage("writers." + (ext.compare("laz")==0?"las":ext));
if(writer)
{
pdal::Options writerOps;
writerOps.add("filename", filePath);
if(ext.compare("ply")==0) writerOps.add("storage_mode", binary?"little endian":"ascii"); // PLY
if(ext.compare("pcd")==0) writerOps.add("compression", binary?"binary":"ascii"); // PCD
if(ext.compare("laz")==0) writerOps.add("compression", "lazperf");
writer->setOptions(writerOps);
writer->setInput(bufferReader);
@@ -342,13 +344,14 @@ int savePDALFile(const std::string & filePath,
pdal::StageFactory factory;
std::string ext = UFile::getExtension(filePath);
pdal::Stage *writer = factory.createStage("writers." + ext);
pdal::Stage *writer = factory.createStage("writers." + (ext.compare("laz")==0?"las":ext));
if(writer)
{
pdal::Options writerOps;
writerOps.add("filename", filePath);
if(ext.compare("ply")==0) writerOps.add("storage_mode", binary?"little endian":"ascii"); // PLY
if(ext.compare("pcd")==0) writerOps.add("compression", binary?"binary":"ascii"); // PCD
if(ext.compare("laz")==0) writerOps.add("compression", "lazperf");
writer->setOptions(writerOps);
writer->setInput(bufferReader);
@@ -412,13 +415,14 @@ int savePDALFile(const std::string & filePath,
pdal::StageFactory factory;
std::string ext = UFile::getExtension(filePath);
pdal::Stage *writer = factory.createStage("writers." + ext);
pdal::Stage *writer = factory.createStage("writers." + (ext.compare("laz")==0?"las":ext));
if(writer)
{
pdal::Options writerOps;
writerOps.add("filename", filePath);
if(ext.compare("ply")==0) writerOps.add("storage_mode", binary?"little endian":"ascii"); // PLY
if(ext.compare("pcd")==0) writerOps.add("compression", binary?"binary":"ascii"); // PCD
if(ext.compare("laz")==0) writerOps.add("compression", "lazperf");
writer->setOptions(writerOps);
writer->setInput(bufferReader);
@@ -491,13 +495,14 @@ int savePDALFile(const std::string & filePath,
pdal::StageFactory factory;
std::string ext = UFile::getExtension(filePath);
pdal::Stage *writer = factory.createStage("writers." + ext);
pdal::Stage *writer = factory.createStage("writers." + (ext.compare("laz")==0?"las":ext));
if(writer)
{
pdal::Options writerOps;
writerOps.add("filename", filePath);
if(ext.compare("ply")==0) writerOps.add("storage_mode", binary?"little endian":"ascii"); // PLY
if(ext.compare("pcd")==0) writerOps.add("compression", binary?"binary":"ascii"); // PCD
if(ext.compare("laz")==0) writerOps.add("compression", "lazperf");
writer->setOptions(writerOps);
writer->setInput(bufferReader);
+3
View File
@@ -236,6 +236,9 @@ const std::map<std::string, std::pair<bool, std::string> > & Parameters::getRemo
{
// removed parameters
// 0.21.13
removedParameters_.insert(std::make_pair("Vis/ForwardEstOnly", std::make_pair(false, "")));
// 0.21.7
removedParameters_.insert(std::make_pair("SIFT/NFeatures", std::make_pair(false, "")));
+312 -353
View File
@@ -71,7 +71,6 @@ RegistrationVis::RegistrationVis(const ParametersMap & parameters, Registration
_refineIterations(Parameters::defaultVisRefineIterations()),
_epipolarGeometryVar(Parameters::defaultVisEpipolarGeometryVar()),
_estimationType(Parameters::defaultVisEstimationType()),
_forwardEstimateOnly(Parameters::defaultVisForwardEstOnly()),
_PnPReprojError(Parameters::defaultVisPnPReprojError()),
_PnPFlags(Parameters::defaultVisPnPFlags()),
_PnPRefineIterations(Parameters::defaultVisPnPRefineIterations()),
@@ -94,6 +93,7 @@ RegistrationVis::RegistrationVis(const ParametersMap & parameters, Registration
_guessMatchToProjection(Parameters::defaultVisCorGuessMatchToProjection()),
_bundleAdjustment(Parameters::defaultVisBundleAdjustment()),
_depthAsMask(Parameters::defaultVisDepthAsMask()),
_maskFloorThreshold(Parameters::defaultVisDepthMaskFloorThr()),
_minInliersDistributionThr(Parameters::defaultVisMinInliersDistribution()),
_maxInliersMeanDistance(Parameters::defaultVisMeanInliersDistance()),
_detectorFrom(0),
@@ -131,7 +131,6 @@ void RegistrationVis::parseParameters(const ParametersMap & parameters)
Parameters::parse(parameters, Parameters::kVisIterations(), _iterations);
Parameters::parse(parameters, Parameters::kVisRefineIterations(), _refineIterations);
Parameters::parse(parameters, Parameters::kVisEstimationType(), _estimationType);
Parameters::parse(parameters, Parameters::kVisForwardEstOnly(), _forwardEstimateOnly);
Parameters::parse(parameters, Parameters::kVisEpipolarGeometryVar(), _epipolarGeometryVar);
Parameters::parse(parameters, Parameters::kVisPnPReprojError(), _PnPReprojError);
Parameters::parse(parameters, Parameters::kVisPnPFlags(), _PnPFlags);
@@ -155,6 +154,7 @@ void RegistrationVis::parseParameters(const ParametersMap & parameters)
Parameters::parse(parameters, Parameters::kVisCorGuessMatchToProjection(), _guessMatchToProjection);
Parameters::parse(parameters, Parameters::kVisBundleAdjustment(), _bundleAdjustment);
Parameters::parse(parameters, Parameters::kVisDepthAsMask(), _depthAsMask);
Parameters::parse(parameters, Parameters::kVisDepthMaskFloorThr(), _maskFloorThreshold);
Parameters::parse(parameters, Parameters::kVisMinInliersDistribution(), _minInliersDistributionThr);
Parameters::parse(parameters, Parameters::kVisMeanInliersDistance(), _maxInliersMeanDistance);
uInsert(_bundleParameters, parameters);
@@ -312,7 +312,6 @@ Transform RegistrationVis::computeTransformationImpl(
UDEBUG("%s=%f", Parameters::kVisInlierDistance().c_str(), _inlierDistance);
UDEBUG("%s=%d", Parameters::kVisIterations().c_str(), _iterations);
UDEBUG("%s=%d", Parameters::kVisEstimationType().c_str(), _estimationType);
UDEBUG("%s=%d", Parameters::kVisForwardEstOnly().c_str(), _forwardEstimateOnly);
UDEBUG("%s=%f", Parameters::kVisEpipolarGeometryVar().c_str(), _epipolarGeometryVar);
UDEBUG("%s=%f", Parameters::kVisPnPReprojError().c_str(), _PnPReprojError);
UDEBUG("%s=%d", Parameters::kVisPnPFlags().c_str(), _PnPFlags);
@@ -370,7 +369,7 @@ Transform RegistrationVis::computeTransformationImpl(
(_estimationType==1 || toSignature.getWords3().size())) // required only for 3D->3D and 2D->2D
{
// no need to extract new features, we have all the data we need
UDEBUG("Bypassing feature matching as descriptors and images are empty. We assume features are already matched.");
UDEBUG("Bypassing feature matching as descriptors are empty. We assume features are already matched.");
}
else
{
@@ -423,13 +422,32 @@ Transform RegistrationVis::computeTransformationImpl(
imageFrom.cols % fromSignature.sensorData().depthRaw().cols == 0 &&
imageFrom.rows/fromSignature.sensorData().depthRaw().rows == fromSignature.sensorData().imageRaw().cols/fromSignature.sensorData().depthRaw().cols)
{
depthMask = util2d::interpolate(fromSignature.sensorData().depthRaw(), fromSignature.sensorData().imageRaw().rows/fromSignature.sensorData().depthRaw().rows, 0.1f);
depthMask = fromSignature.sensorData().depthRaw();
if(_maskFloorThreshold != 0.0f)
{
UASSERT(!fromSignature.sensorData().cameraModels().empty());
UDEBUG("Masking floor (threshold=%f)", _maskFloorThreshold);
if(_maskFloorThreshold<0.0f)
{
cv::Mat depthBelow;
util3d::filterFloor(depthMask, fromSignature.sensorData().cameraModels(), _maskFloorThreshold*-1.0f, &depthBelow);
depthMask = depthBelow;
}
else
{
depthMask = util3d::filterFloor(depthMask, fromSignature.sensorData().cameraModels(), _maskFloorThreshold);
}
UDEBUG("Masking floor done.");
}
depthMask = util2d::interpolate(depthMask, imageFrom.rows/depthMask.rows, 0.1f);
}
else
{
UWARN("%s is true, but RGB size (%dx%d) modulo depth size (%dx%d) is not 0. Ignoring depth mask for feature detection.",
Parameters::kVisDepthAsMask().c_str(),
fromSignature.sensorData().imageRaw().rows, fromSignature.sensorData().imageRaw().cols,
imageFrom.rows, imageFrom.cols,
fromSignature.sensorData().depthRaw().rows, fromSignature.sensorData().depthRaw().cols);
}
}
@@ -700,7 +718,7 @@ Transform RegistrationVis::computeTransformationImpl(
kptsFrom3D = kptsFrom3DKept;
std::vector<cv::Point3f> kptsTo3D;
if(_estimationType == 0 || _estimationType == 1 || !_forwardEstimateOnly)
if(_estimationType == 0 || _estimationType == 1)
{
kptsTo3D = _detectorTo->generateKeypoints3D(toSignature.sensorData(), kptsTo);
}
@@ -770,13 +788,32 @@ Transform RegistrationVis::computeTransformationImpl(
imageTo.cols % toSignature.sensorData().depthRaw().cols == 0 &&
imageTo.rows/toSignature.sensorData().depthRaw().rows == imageTo.cols/toSignature.sensorData().depthRaw().cols)
{
depthMask = util2d::interpolate(toSignature.sensorData().depthRaw(), imageTo.rows/toSignature.sensorData().depthRaw().rows, 0.1f);
depthMask = toSignature.sensorData().depthRaw();
if(_maskFloorThreshold != 0.0f)
{
UASSERT(!toSignature.sensorData().cameraModels().empty());
UDEBUG("Masking floor (threshold=%f)", _maskFloorThreshold);
if(_maskFloorThreshold<0.0f)
{
cv::Mat depthBelow;
util3d::filterFloor(depthMask, toSignature.sensorData().cameraModels(), _maskFloorThreshold*-1.0f, &depthBelow);
depthMask = depthBelow;
}
else
{
depthMask = util3d::filterFloor(depthMask, toSignature.sensorData().cameraModels(), _maskFloorThreshold);
}
UDEBUG("Masking floor done.");
}
depthMask = util2d::interpolate(depthMask, imageTo.rows/depthMask.rows, 0.1f);
}
else
{
UWARN("%s is true, but RGB size (%dx%d) modulo depth size (%dx%d) is not 0. Ignoring depth mask for feature detection.",
Parameters::kVisDepthAsMask().c_str(),
toSignature.sensorData().imageRaw().rows, toSignature.sensorData().imageRaw().cols,
imageTo.rows, imageTo.cols,
toSignature.sensorData().depthRaw().rows, toSignature.sensorData().depthRaw().cols);
}
}
@@ -1536,347 +1573,305 @@ Transform RegistrationVis::computeTransformationImpl(
info.matchesIDs.clear();
if(toSignature.getWords().size())
{
Transform transforms[2];
std::vector<int> inliers[2];
std::vector<int> matches[2];
cv::Mat covariances[2];
covariances[0] = cv::Mat::eye(6,6,CV_64FC1);
covariances[1] = cv::Mat::eye(6,6,CV_64FC1);
for(int dir=0; dir<(!_forwardEstimateOnly?2:1); ++dir)
std::vector<int> inliers;
std::vector<int> matches;
if(_estimationType == 2) // Epipolar Geometry
{
// A to B
Signature * signatureA;
Signature * signatureB;
if(dir == 0)
UDEBUG("");
if((toSignature.sensorData().stereoCameraModels().size() != 1 ||
!toSignature.sensorData().stereoCameraModels()[0].isValidForProjection()) &&
(toSignature.sensorData().cameraModels().size() != 1 ||
!toSignature.sensorData().cameraModels()[0].isValidForProjection()))
{
signatureA = &fromSignature;
signatureB = &toSignature;
UERROR("Calibrated camera required (multi-cameras not supported).");
}
else
else if((int)fromSignature.getWords().size() >= _minInliers &&
(int)toSignature.getWords().size() >= _minInliers)
{
signatureA = &toSignature;
signatureB = &fromSignature;
}
if(_estimationType == 2) // Epipolar Geometry
{
UDEBUG("");
if((signatureB->sensorData().stereoCameraModels().size() != 1 ||
!signatureB->sensorData().stereoCameraModels()[0].isValidForProjection()) &&
(signatureB->sensorData().cameraModels().size() != 1 ||
!signatureB->sensorData().cameraModels()[0].isValidForProjection()))
UASSERT((fromSignature.sensorData().stereoCameraModels().size() == 1 && fromSignature.sensorData().stereoCameraModels()[0].isValidForProjection()) || (fromSignature.sensorData().cameraModels().size() == 1 && fromSignature.sensorData().cameraModels()[0].isValidForProjection()));
const CameraModel & cameraModel = fromSignature.sensorData().stereoCameraModels().size()?fromSignature.sensorData().stereoCameraModels()[0].left():fromSignature.sensorData().cameraModels()[0];
// we only need the camera transform, send guess words3 for scale estimation
Transform cameraTransform;
double variance = 1.0f;
std::vector<int> matchesV;
std::map<int, int> uniqueWordsA = uMultimapToMapUnique(fromSignature.getWords());
std::map<int, int> uniqueWordsB = uMultimapToMapUnique(toSignature.getWords());
std::map<int, cv::KeyPoint> wordsA;
std::map<int, cv::Point3f> words3A;
std::map<int, cv::KeyPoint> wordsB;
for(std::map<int, int>::iterator iter=uniqueWordsA.begin(); iter!=uniqueWordsA.end(); ++iter)
{
UERROR("Calibrated camera required (multi-cameras not supported).");
wordsA.insert(std::make_pair(iter->first, fromSignature.getWordsKpts()[iter->second]));
if(!fromSignature.getWords3().empty())
{
words3A.insert(std::make_pair(iter->first, fromSignature.getWords3()[iter->second]));
}
}
else if((int)signatureA->getWords().size() >= _minInliers &&
(int)signatureB->getWords().size() >= _minInliers)
for(std::map<int, int>::iterator iter=uniqueWordsB.begin(); iter!=uniqueWordsB.end(); ++iter)
{
UASSERT((signatureA->sensorData().stereoCameraModels().size() == 1 && signatureA->sensorData().stereoCameraModels()[0].isValidForProjection()) || (signatureA->sensorData().cameraModels().size() == 1 && signatureA->sensorData().cameraModels()[0].isValidForProjection()));
const CameraModel & cameraModel = signatureA->sensorData().stereoCameraModels().size()?signatureA->sensorData().stereoCameraModels()[0].left():signatureA->sensorData().cameraModels()[0];
wordsB.insert(std::make_pair(iter->first, toSignature.getWordsKpts()[iter->second]));
}
std::map<int, cv::Point3f> inliers3D = util3d::generateWords3DMono(
wordsA,
wordsB,
cameraModel,
cameraTransform,
_PnPReprojError,
0.99f,
words3A, // for scale estimation
&variance,
&matchesV);
covariance *= variance;
inliers = uKeys(inliers3D);
matches = matchesV;
// we only need the camera transform, send guess words3 for scale estimation
Transform cameraTransform;
double variance = 1.0f;
std::vector<int> matchesV;
std::map<int, int> uniqueWordsA = uMultimapToMapUnique(signatureA->getWords());
std::map<int, int> uniqueWordsB = uMultimapToMapUnique(signatureB->getWords());
std::map<int, cv::KeyPoint> wordsA;
std::map<int, cv::Point3f> words3A;
std::map<int, cv::KeyPoint> wordsB;
for(std::map<int, int>::iterator iter=uniqueWordsA.begin(); iter!=uniqueWordsA.end(); ++iter)
if(!cameraTransform.isNull())
{
if((int)inliers3D.size() >= _minInliers)
{
wordsA.insert(std::make_pair(iter->first, signatureA->getWordsKpts()[iter->second]));
if(!signatureA->getWords3().empty())
if(variance <= _epipolarGeometryVar)
{
words3A.insert(std::make_pair(iter->first, signatureA->getWords3()[iter->second]));
}
}
for(std::map<int, int>::iterator iter=uniqueWordsB.begin(); iter!=uniqueWordsB.end(); ++iter)
{
wordsB.insert(std::make_pair(iter->first, signatureB->getWordsKpts()[iter->second]));
}
std::map<int, cv::Point3f> inliers3D = util3d::generateWords3DMono(
wordsA,
wordsB,
cameraModel,
cameraTransform,
_PnPReprojError,
0.99f,
words3A, // for scale estimation
&variance,
&matchesV);
covariances[dir] *= variance;
inliers[dir] = uKeys(inliers3D);
matches[dir] = matchesV;
if(!cameraTransform.isNull())
{
if((int)inliers3D.size() >= _minInliers)
{
if(variance <= _epipolarGeometryVar)
if(this->force3DoF())
{
if(this->force3DoF())
{
transforms[dir] = cameraTransform.to3DoF();
}
else
{
transforms[dir] = cameraTransform;
}
transform = cameraTransform.to3DoF();
}
else
{
msg = uFormat("Variance is too high! (Max %s=%f, variance=%f)", Parameters::kVisEpipolarGeometryVar().c_str(), _epipolarGeometryVar, variance);
UINFO(msg.c_str());
transform = cameraTransform;
}
}
else
{
msg = uFormat("Not enough inliers %d < %d", (int)inliers3D.size(), _minInliers);
msg = uFormat("Variance is too high! (Max %s=%f, variance=%f)", Parameters::kVisEpipolarGeometryVar().c_str(), _epipolarGeometryVar, variance);
UINFO(msg.c_str());
}
}
else
{
msg = uFormat("No camera transform found");
msg = uFormat("Not enough inliers %d < %d", (int)inliers3D.size(), _minInliers);
UINFO(msg.c_str());
}
}
else if(signatureA->getWords().size() == 0)
{
msg = uFormat("No enough features (%d)", (int)signatureA->getWords().size());
UWARN(msg.c_str());
}
else
{
msg = uFormat("No camera model");
UWARN(msg.c_str());
msg = uFormat("No camera transform found");
UINFO(msg.c_str());
}
}
else if(_estimationType == 1) // PnP
else if(fromSignature.getWords().size() == 0)
{
UDEBUG("");
if((signatureB->sensorData().stereoCameraModels().empty() || !signatureB->sensorData().stereoCameraModels()[0].isValidForProjection()) &&
(signatureB->sensorData().cameraModels().empty() || !signatureB->sensorData().cameraModels()[0].isValidForProjection()))
{
UERROR("Calibrated camera required. Id=%d Models=%d StereoModels=%d weight=%d",
signatureB->id(),
(int)signatureB->sensorData().cameraModels().size(),
signatureB->sensorData().stereoCameraModels().size(),
signatureB->getWeight());
}
#ifndef RTABMAP_OPENGV
else if(signatureB->sensorData().cameraModels().size() > 1)
{
UERROR("Multi-camera 2D-3D PnP registration is only available if rtabmap is built "
"with OpenGV dependency. Use 3D-3D registration approach instead for multi-camera.");
}
#endif
else
{
UDEBUG("words from3D=%d to2D=%d", (int)signatureA->getWords3().size(), (int)signatureB->getWords().size());
// 3D to 2D
if((int)signatureA->getWords3().size() >= _minInliers &&
(int)signatureB->getWords().size() >= _minInliers)
{
std::vector<int> inliersV;
std::vector<int> matchesV;
std::map<int, int> uniqueWordsA = uMultimapToMapUnique(signatureA->getWords());
std::map<int, int> uniqueWordsB = uMultimapToMapUnique(signatureB->getWords());
std::map<int, cv::Point3f> words3A;
std::map<int, cv::Point3f> words3B;
std::map<int, cv::KeyPoint> wordsB;
for(std::map<int, int>::iterator iter=uniqueWordsA.begin(); iter!=uniqueWordsA.end(); ++iter)
{
words3A.insert(std::make_pair(iter->first, signatureA->getWords3()[iter->second]));
}
for(std::map<int, int>::iterator iter=uniqueWordsB.begin(); iter!=uniqueWordsB.end(); ++iter)
{
wordsB.insert(std::make_pair(iter->first, signatureB->getWordsKpts()[iter->second]));
if(!signatureB->getWords3().empty())
{
words3B.insert(std::make_pair(iter->first, signatureB->getWords3()[iter->second]));
}
}
std::vector<CameraModel> models;
if(signatureB->sensorData().stereoCameraModels().size())
{
for(size_t i=0; i<signatureB->sensorData().stereoCameraModels().size(); ++i)
{
models.push_back(signatureB->sensorData().stereoCameraModels()[i].left());
}
}
else
{
models = signatureB->sensorData().cameraModels();
}
if(models.size()>1)
{
// Multi-Camera
UASSERT(models[0].isValidForProjection());
transforms[dir] = util3d::estimateMotion3DTo2D(
words3A,
wordsB,
models,
_multiSamplingPolicy,
_minInliers,
_iterations,
_PnPReprojError,
_PnPFlags,
_PnPRefineIterations,
_PnPVarMedianRatio,
_PnPMaxVar,
dir==0?(!guess.isNull()?guess:Transform::getIdentity()):!transforms[0].isNull()?transforms[0].inverse():(!guess.isNull()?guess.inverse():Transform::getIdentity()),
words3B,
&covariances[dir],
&matchesV,
&inliersV,
_PnPSplitLinearCovarianceComponents);
inliers[dir] = inliersV;
matches[dir] = matchesV;
}
else
{
UASSERT(models.size() == 1 && models[0].isValidForProjection());
transforms[dir] = util3d::estimateMotion3DTo2D(
words3A,
wordsB,
models[0],
_minInliers,
_iterations,
_PnPReprojError,
_PnPFlags,
_PnPRefineIterations,
_PnPVarMedianRatio,
_PnPMaxVar,
dir==0?(!guess.isNull()?guess:Transform::getIdentity()):!transforms[0].isNull()?transforms[0].inverse():(!guess.isNull()?guess.inverse():Transform::getIdentity()),
words3B,
&covariances[dir],
&matchesV,
&inliersV,
_PnPSplitLinearCovarianceComponents);
inliers[dir] = inliersV;
matches[dir] = matchesV;
}
UDEBUG("inliers: %d/%d", (int)inliersV.size(), (int)matchesV.size());
if(transforms[dir].isNull())
{
msg = uFormat("Not enough inliers %d/%d (matches=%d) between %d and %d",
(int)inliers[dir].size(), _minInliers, (int)matches[dir].size(), signatureA->id(), signatureB->id());
UINFO(msg.c_str());
}
else if(this->force3DoF())
{
transforms[dir] = transforms[dir].to3DoF();
}
}
else
{
msg = uFormat("Not enough features in images (old=%d, new=%d, min=%d)",
(int)signatureA->getWords3().size(), (int)signatureB->getWords().size(), _minInliers);
UINFO(msg.c_str());
}
}
msg = uFormat("No enough features (%d)", (int)fromSignature.getWords().size());
UWARN(msg.c_str());
}
else
{
UDEBUG("");
// 3D -> 3D
if((int)signatureA->getWords3().size() >= _minInliers &&
(int)signatureB->getWords3().size() >= _minInliers)
msg = uFormat("No camera model");
UWARN(msg.c_str());
}
}
else if(_estimationType == 1) // PnP
{
UDEBUG("");
if((toSignature.sensorData().stereoCameraModels().empty() || !toSignature.sensorData().stereoCameraModels()[0].isValidForProjection()) &&
(toSignature.sensorData().cameraModels().empty() || !toSignature.sensorData().cameraModels()[0].isValidForProjection()))
{
UERROR("Calibrated camera required. Id=%d Models=%d StereoModels=%d weight=%d",
toSignature.id(),
(int)toSignature.sensorData().cameraModels().size(),
toSignature.sensorData().stereoCameraModels().size(),
toSignature.getWeight());
}
#ifndef RTABMAP_OPENGV
else if(toSignature.sensorData().cameraModels().size() > 1)
{
UERROR("Multi-camera 2D-3D PnP registration is only available if rtabmap is built "
"with OpenGV dependency. Use 3D-3D registration approach instead for multi-camera.");
}
#endif
else
{
UDEBUG("words from3D=%d to2D=%d", (int)fromSignature.getWords3().size(), (int)toSignature.getWords().size());
// 3D to 2D
if((int)fromSignature.getWords3().size() >= _minInliers &&
(int)toSignature.getWords().size() >= _minInliers)
{
std::vector<int> inliersV;
std::vector<int> matchesV;
std::map<int, int> uniqueWordsA = uMultimapToMapUnique(signatureA->getWords());
std::map<int, int> uniqueWordsB = uMultimapToMapUnique(signatureB->getWords());
std::map<int, int> uniqueWordsA = uMultimapToMapUnique(fromSignature.getWords());
std::map<int, int> uniqueWordsB = uMultimapToMapUnique(toSignature.getWords());
std::map<int, cv::Point3f> words3A;
std::map<int, cv::Point3f> words3B;
std::map<int, cv::KeyPoint> wordsB;
for(std::map<int, int>::iterator iter=uniqueWordsA.begin(); iter!=uniqueWordsA.end(); ++iter)
{
words3A.insert(std::make_pair(iter->first, signatureA->getWords3()[iter->second]));
words3A.insert(std::make_pair(iter->first, fromSignature.getWords3()[iter->second]));
}
for(std::map<int, int>::iterator iter=uniqueWordsB.begin(); iter!=uniqueWordsB.end(); ++iter)
{
words3B.insert(std::make_pair(iter->first, signatureB->getWords3()[iter->second]));
wordsB.insert(std::make_pair(iter->first, toSignature.getWordsKpts()[iter->second]));
if(!toSignature.getWords3().empty())
{
words3B.insert(std::make_pair(iter->first, toSignature.getWords3()[iter->second]));
}
}
std::vector<CameraModel> models;
if(toSignature.sensorData().stereoCameraModels().size())
{
for(size_t i=0; i<toSignature.sensorData().stereoCameraModels().size(); ++i)
{
models.push_back(toSignature.sensorData().stereoCameraModels()[i].left());
}
}
else
{
models = toSignature.sensorData().cameraModels();
}
if(models.size()>1)
{
// Multi-Camera
UASSERT(models[0].isValidForProjection());
std::vector<std::vector<int> > matchesPerCam;
std::vector<std::vector<int> > inliersPerCam;
transform = util3d::estimateMotion3DTo2D(
words3A,
wordsB,
models,
_multiSamplingPolicy,
_minInliers,
_iterations,
_PnPReprojError,
_PnPFlags,
_PnPRefineIterations,
_PnPVarMedianRatio,
_PnPMaxVar,
!guess.isNull()?guess:Transform::getIdentity(),
words3B,
&covariance,
&matchesPerCam,
&inliersPerCam,
_PnPSplitLinearCovarianceComponents);
info.matchesPerCam.resize(matchesPerCam.size());
for(size_t i=0; i<matchesPerCam.size(); ++i)
{
matches.insert(matches.end(), matchesPerCam[i].begin(), matchesPerCam[i].end());
info.matchesPerCam[i] = matchesPerCam[i].size();
}
info.inliersPerCam.resize(inliersPerCam.size());
for(size_t i=0; i<inliersPerCam.size(); ++i)
{
inliers.insert(inliers.end(), inliersPerCam[i].begin(), inliersPerCam[i].end());
info.inliersPerCam[i] = inliersPerCam[i].size();
}
}
else
{
UASSERT(models.size() == 1 && models[0].isValidForProjection());
transform = util3d::estimateMotion3DTo2D(
words3A,
wordsB,
models[0],
_minInliers,
_iterations,
_PnPReprojError,
_PnPFlags,
_PnPRefineIterations,
_PnPVarMedianRatio,
_PnPMaxVar,
!guess.isNull()?guess:Transform::getIdentity(),
words3B,
&covariance,
&matchesV,
&inliersV,
_PnPSplitLinearCovarianceComponents);
inliers = inliersV;
matches = matchesV;
}
transforms[dir] = util3d::estimateMotion3DTo3D(
words3A,
words3B,
_minInliers,
_inlierDistance,
_iterations,
_refineIterations,
&covariances[dir],
&matchesV,
&inliersV);
inliers[dir] = inliersV;
matches[dir] = matchesV;
UDEBUG("inliers: %d/%d", (int)inliersV.size(), (int)matchesV.size());
if(transforms[dir].isNull())
if(transform.isNull())
{
msg = uFormat("Not enough inliers %d/%d (matches=%d) between %d and %d",
(int)inliers[dir].size(), _minInliers, (int)matches[dir].size(), signatureA->id(), signatureB->id());
(int)inliers.size(), _minInliers, (int)matches.size(), fromSignature.id(), toSignature.id());
UINFO(msg.c_str());
}
else if(this->force3DoF())
{
transforms[dir] = transforms[dir].to3DoF();
transform = transform.to3DoF();
}
}
else
{
msg = uFormat("Not enough 3D features in images (old=%d, new=%d, min=%d)",
(int)signatureA->getWords3().size(), (int)signatureB->getWords3().size(), _minInliers);
msg = uFormat("Not enough features in images (old=%d, new=%d, min=%d)",
(int)fromSignature.getWords3().size(), (int)toSignature.getWords().size(), _minInliers);
UINFO(msg.c_str());
}
}
}
if(!_forwardEstimateOnly)
{
UDEBUG("from->to=%s", transforms[0].prettyPrint().c_str());
UDEBUG("to->from=%s", transforms[1].prettyPrint().c_str());
}
std::vector<int> allInliers = inliers[0];
if(inliers[1].size())
else
{
std::set<int> allInliersSet(allInliers.begin(), allInliers.end());
unsigned int oi = allInliers.size();
allInliers.resize(allInliers.size() + inliers[1].size());
for(unsigned int i=0; i<inliers[1].size(); ++i)
UDEBUG("");
// 3D -> 3D
if((int)fromSignature.getWords3().size() >= _minInliers &&
(int)toSignature.getWords3().size() >= _minInliers)
{
if(allInliersSet.find(inliers[1][i]) == allInliersSet.end())
std::vector<int> inliersV;
std::vector<int> matchesV;
std::map<int, int> uniqueWordsA = uMultimapToMapUnique(fromSignature.getWords());
std::map<int, int> uniqueWordsB = uMultimapToMapUnique(toSignature.getWords());
std::map<int, cv::Point3f> words3A;
std::map<int, cv::Point3f> words3B;
for(std::map<int, int>::iterator iter=uniqueWordsA.begin(); iter!=uniqueWordsA.end(); ++iter)
{
allInliers[oi++] = inliers[1][i];
words3A.insert(std::make_pair(iter->first, fromSignature.getWords3()[iter->second]));
}
for(std::map<int, int>::iterator iter=uniqueWordsB.begin(); iter!=uniqueWordsB.end(); ++iter)
{
words3B.insert(std::make_pair(iter->first, toSignature.getWords3()[iter->second]));
}
transform = util3d::estimateMotion3DTo3D(
words3A,
words3B,
_minInliers,
_inlierDistance,
_iterations,
_refineIterations,
&covariance,
&matchesV,
&inliersV);
inliers = inliersV;
matches = matchesV;
UDEBUG("inliers: %d/%d", (int)inliersV.size(), (int)matchesV.size());
if(transform.isNull())
{
msg = uFormat("Not enough inliers %d/%d (matches=%d) between %d and %d",
(int)inliers.size(), _minInliers, (int)matches.size(), fromSignature.id(), toSignature.id());
UINFO(msg.c_str());
}
else if(this->force3DoF())
{
transform = transform.to3DoF();
}
}
allInliers.resize(oi);
}
std::vector<int> allMatches = matches[0];
if(matches[1].size())
{
std::set<int> allMatchesSet(allMatches.begin(), allMatches.end());
unsigned int oi = allMatches.size();
allMatches.resize(allMatches.size() + matches[1].size());
for(unsigned int i=0; i<matches[1].size(); ++i)
else
{
if(allMatchesSet.find(matches[1][i]) == allMatchesSet.end())
{
allMatches[oi++] = matches[1][i];
}
msg = uFormat("Not enough 3D features in images (old=%d, new=%d, min=%d)",
(int)fromSignature.getWords3().size(), (int)toSignature.getWords3().size(), _minInliers);
UINFO(msg.c_str());
}
allMatches.resize(oi);
}
if(_bundleAdjustment > 0 &&
_estimationType < 2 &&
!transforms[0].isNull() &&
allInliers.size() &&
!transform.isNull() &&
inliers.size() &&
fromSignature.getWords3().size() &&
toSignature.getWords().size() &&
(fromSignature.sensorData().stereoCameraModels().size() >= 1 || fromSignature.sensorData().cameraModels().size() >= 1) &&
@@ -1890,34 +1885,23 @@ Transform RegistrationVis::computeTransformationImpl(
std::map<int, cv::Point3f> points3DMap;
poses.insert(std::make_pair(1, Transform::getIdentity()));
poses.insert(std::make_pair(2, transforms[0]));
poses.insert(std::make_pair(2, transform));
for(int i=0;i<2;++i)
{
UASSERT(covariances[i].cols==6 && covariances[i].rows == 6 && covariances[i].type() == CV_64FC1);
if(covariances[i].at<double>(0,0)<=COVARIANCE_LINEAR_EPSILON)
covariances[i].at<double>(0,0) = COVARIANCE_LINEAR_EPSILON; // epsilon if exact transform
if(covariances[i].at<double>(1,1)<=COVARIANCE_LINEAR_EPSILON)
covariances[i].at<double>(1,1) = COVARIANCE_LINEAR_EPSILON; // epsilon if exact transform
if(covariances[i].at<double>(2,2)<=COVARIANCE_LINEAR_EPSILON)
covariances[i].at<double>(2,2) = COVARIANCE_LINEAR_EPSILON; // epsilon if exact transform
if(covariances[i].at<double>(3,3)<=COVARIANCE_ANGULAR_EPSILON)
covariances[i].at<double>(3,3) = COVARIANCE_ANGULAR_EPSILON; // epsilon if exact transform
if(covariances[i].at<double>(4,4)<=COVARIANCE_ANGULAR_EPSILON)
covariances[i].at<double>(4,4) = COVARIANCE_ANGULAR_EPSILON; // epsilon if exact transform
if(covariances[i].at<double>(5,5)<=COVARIANCE_ANGULAR_EPSILON)
covariances[i].at<double>(5,5) = COVARIANCE_ANGULAR_EPSILON; // epsilon if exact transform
}
cv::Mat cov = covariances[0].clone();
links.insert(std::make_pair(1, Link(1, 2, Link::kNeighbor, transforms[0], cov.inv())));
if(!transforms[1].isNull() && inliers[1].size())
{
cov = covariances[1].clone();
links.insert(std::make_pair(2, Link(2, 1, Link::kNeighbor, transforms[1], cov.inv())));
}
UASSERT(covariance.cols==6 && covariance.rows == 6 && covariance.type() == CV_64FC1);
if(covariance.at<double>(0,0)<=COVARIANCE_LINEAR_EPSILON)
covariance.at<double>(0,0) = COVARIANCE_LINEAR_EPSILON; // epsilon if exact transform
if(covariance.at<double>(1,1)<=COVARIANCE_LINEAR_EPSILON)
covariance.at<double>(1,1) = COVARIANCE_LINEAR_EPSILON; // epsilon if exact transform
if(covariance.at<double>(2,2)<=COVARIANCE_LINEAR_EPSILON)
covariance.at<double>(2,2) = COVARIANCE_LINEAR_EPSILON; // epsilon if exact transform
if(covariance.at<double>(3,3)<=COVARIANCE_ANGULAR_EPSILON)
covariance.at<double>(3,3) = COVARIANCE_ANGULAR_EPSILON; // epsilon if exact transform
if(covariance.at<double>(4,4)<=COVARIANCE_ANGULAR_EPSILON)
covariance.at<double>(4,4) = COVARIANCE_ANGULAR_EPSILON; // epsilon if exact transform
if(covariance.at<double>(5,5)<=COVARIANCE_ANGULAR_EPSILON)
covariance.at<double>(5,5) = COVARIANCE_ANGULAR_EPSILON; // epsilon if exact transform
links.insert(std::make_pair(1, Link(1, 2, Link::kNeighbor, transform, covariance.inv())));
std::map<int, Transform> optimizedPoses;
UASSERT((toSignature.sensorData().stereoCameraModels().size() >= 1 && toSignature.sensorData().stereoCameraModels()[0].isValidForProjection()) ||
@@ -1975,17 +1959,12 @@ Transform RegistrationVis::computeTransformationImpl(
std::map<int, std::map<int, FeatureBA> > wordReferences;
std::set<int> sbaOutliers;
UDEBUG("");
for(unsigned int i=0; i<allInliers.size(); ++i)
for(unsigned int i=0; i<inliers.size(); ++i)
{
int wordId = allInliers[i];
int wordId = inliers[i];
int indexFrom = fromSignature.getWords().find(wordId)->second;
const cv::Point3f & pt3D = fromSignature.getWords3()[indexFrom];
if(!util3d::isFinite(pt3D))
{
UASSERT_MSG(!_forwardEstimateOnly, uFormat("3D point %d is not finite!?", wordId).c_str());
sbaOutliers.insert(wordId);
continue;
}
UASSERT_MSG(util3d::isFinite(pt3D), uFormat("3D point %d is not finite!?", wordId).c_str());
points3DMap.insert(std::make_pair(wordId, pt3D));
@@ -2053,32 +2032,32 @@ Transform RegistrationVis::computeTransformationImpl(
!optimizedPoses.begin()->second.isNull() &&
!optimizedPoses.rbegin()->second.isNull())
{
UDEBUG("Pose optimization: %s -> %s", transforms[0].prettyPrint().c_str(), optimizedPoses.rbegin()->second.prettyPrint().c_str());
UDEBUG("Pose optimization: %s -> %s", transform.prettyPrint().c_str(), optimizedPoses.rbegin()->second.prettyPrint().c_str());
if(sbaOutliers.size())
{
std::vector<int> newInliers(allInliers.size());
std::vector<int> newInliers(inliers.size());
int oi=0;
for(unsigned int i=0; i<allInliers.size(); ++i)
for(unsigned int i=0; i<inliers.size(); ++i)
{
if(sbaOutliers.find(allInliers[i]) == sbaOutliers.end())
if(sbaOutliers.find(inliers[i]) == sbaOutliers.end())
{
newInliers[oi++] = allInliers[i];
newInliers[oi++] = inliers[i];
}
}
newInliers.resize(oi);
UDEBUG("BA outliers ratio %f", float(sbaOutliers.size())/float(allInliers.size()));
allInliers = newInliers;
UDEBUG("BA outliers ratio %f", float(sbaOutliers.size())/float(inliers.size()));
inliers = newInliers;
}
if((int)allInliers.size() < _minInliers)
if((int)inliers.size() < _minInliers)
{
msg = uFormat("Not enough inliers after bundle adjustment %d/%d (matches=%d) between %d and %d",
(int)allInliers.size(), _minInliers, (int)allInliers.size()+sbaOutliers.size(), fromSignature.id(), toSignature.id());
transforms[0].setNull();
(int)inliers.size(), _minInliers, (int)inliers.size()+sbaOutliers.size(), fromSignature.id(), toSignature.id());
transform.setNull();
}
else
{
transforms[0] = optimizedPoses.rbegin()->second;
transform = optimizedPoses.rbegin()->second;
}
// update 3D points, both from and to signatures
/*std::multimap<int, cv::Point3f> cpyWordsFrom3 = fromSignature.getWords3();
@@ -2097,36 +2076,16 @@ Transform RegistrationVis::computeTransformationImpl(
}
else
{
transforms[0].setNull();
transform.setNull();
}
transforms[1].setNull();
}
info.inliersIDs = allInliers;
info.matchesIDs = allMatches;
inliersCount = (int)allInliers.size();
matchesCount = (int)allMatches.size();
if(!transforms[1].isNull())
{
transforms[1] = transforms[1].inverse();
if(transforms[0].isNull())
{
transform = transforms[1];
covariance = covariances[1];
}
else
{
transform = transforms[0].interpolate(0.5f, transforms[1]);
covariance = (covariances[0]+covariances[1])/2.0f;
}
}
else
{
transform = transforms[0];
covariance = covariances[0];
}
info.inliersIDs = inliers;
info.matchesIDs = matches;
inliersCount = (int)inliers.size();
matchesCount = (int)matches.size();
if(!transform.isNull() && !allInliers.empty() && (_minInliersDistributionThr>0.0f || _maxInliersMeanDistance>0.0f))
if(!transform.isNull() && !inliers.empty() && (_minInliersDistributionThr>0.0f || _maxInliersMeanDistance>0.0f))
{
cv::Mat pcaData;
std::vector<CameraModel> cameraModelsTo;
@@ -2147,7 +2106,7 @@ Transform RegistrationVis::computeTransformationImpl(
{
if(cameraModelsTo[0].imageWidth()>0 && cameraModelsTo[0].imageHeight()>0)
{
pcaData = cv::Mat(allInliers.size(), 2, CV_32FC1);
pcaData = cv::Mat(inliers.size(), 2, CV_32FC1);
}
else
{
@@ -2164,11 +2123,11 @@ Transform RegistrationVis::computeTransformationImpl(
std::vector<float> distances;
if(_maxInliersMeanDistance>0.0f)
{
distances.reserve(allInliers.size());
distances.reserve(inliers.size());
}
for(unsigned int i=0; i<allInliers.size(); ++i)
for(unsigned int i=0; i<inliers.size(); ++i)
{
std::multimap<int, int>::const_iterator wordsIter = toSignature.getWords().find(allInliers[i]);
std::multimap<int, int>::const_iterator wordsIter = toSignature.getWords().find(inliers[i]);
if(wordsIter != toSignature.getWords().end() && !toSignature.getWordsKpts().empty())
{
const cv::KeyPoint & kpt = toSignature.getWordsKpts()[wordsIter->second];
+79 -36
View File
@@ -152,6 +152,7 @@ Rtabmap::Rtabmap() :
_maxOdomCacheSize(Parameters::defaultRGBDMaxOdomCacheSize()),
_localizationSmoothing(Parameters::defaultRGBDLocalizationSmoothing()),
_localizationPriorInf(1.0/(Parameters::defaultRGBDLocalizationPriorError()*Parameters::defaultRGBDLocalizationPriorError())),
_localizationSecondTryWithoutProximityLinks(Parameters::defaultRGBDLocalizationSecondTryWithoutProximityLinks()),
_createGlobalScanMap(Parameters::defaultRGBDProximityGlobalScanMap()),
_markerPriorsLinearVariance(Parameters::defaultMarkerPriorsVarianceLinear()),
_markerPriorsAngularVariance(Parameters::defaultMarkerPriorsVarianceAngular()),
@@ -632,6 +633,7 @@ void Rtabmap::parseParameters(const ParametersMap & parameters)
Parameters::parse(parameters, Parameters::kRGBDLocalizationPriorError(), localizationPriorError);
UASSERT(localizationPriorError>0.0);
_localizationPriorInf = 1.0/(localizationPriorError*localizationPriorError);
Parameters::parse(parameters, Parameters::kRGBDLocalizationSecondTryWithoutProximityLinks(), _localizationSecondTryWithoutProximityLinks);
Parameters::parse(parameters, Parameters::kRGBDProximityGlobalScanMap(), _createGlobalScanMap);
Parameters::parse(parameters, Parameters::kMarkerPriorsVarianceLinear(), _markerPriorsLinearVariance);
@@ -716,6 +718,36 @@ void Rtabmap::parseParameters(const ParametersMap & parameters)
if(_memory)
{
bool isMemIncremental = _memory->isIncremental();
if(Parameters::parse(parameters, Parameters::kMemIncrementalMemory(), isMemIncremental) &&
isMemIncremental != _memory->isIncremental())
{
// Mode has changed from Mapping to Localization, cleanup the local graph
if(_memory->isGraphReduced() && _memory->isIncremental())
{
// Force reducing graph, then remove filtered nodes from the optimized poses
std::map<int, int> reducedIds;
_memory->incrementMapId(&reducedIds);
for(std::map<int, int>::iterator iter=reducedIds.begin(); iter!=reducedIds.end(); ++iter)
{
_optimizedPoses.erase(iter->first);
}
}
// In both cases, we save the latest optimized graph and latest localization pose
_memory->saveOptimizedPoses(_optimizedPoses, _lastLocalizationPose);
// Mode changed from Localization to Mapping, clear local graph
if(!_memory->isIncremental()) {
_optimizedPoses.clear();
_lastLocalizationPose.setNull();
_mapCorrection.setIdentity();
_mapCorrectionBackup.setNull();
_localizationCovariance = cv::Mat();
_lastLocalizationNodeId = 0;
}
}
_memory->parseParameters(parameters);
if(_memory->isIncremental() && !_globalScanMap.empty())
{
@@ -1211,7 +1243,7 @@ bool Rtabmap::process(
double timeStatsCreation = 0;
float hypothesisRatio = 0.0f; // Only used for statistics
bool rejectedGlobalLoopClosure = false;
bool rejectedLoopClosure = false;
std::map<int, float> rawLikelihood;
std::map<int, float> adjustedLikelihood;
@@ -1669,7 +1701,7 @@ bool Rtabmap::process(
{
distanceToClosestNodeInTheGraph = sqrt(sqrdDistance);
UDEBUG("Last localization pose = %s, closest node=%d (%f m)", newPose.prettyPrint().c_str(), closestNode, distanceToClosestNodeInTheGraph);
angleToClosestNodeInTheGraph = (newPose.inverse() * _optimizedPoses.at(closestNode)).getAngle();
angleToClosestNodeInTheGraph = newPose.getAngle(_optimizedPoses.at(closestNode));
}
}
@@ -1720,6 +1752,7 @@ bool Rtabmap::process(
_constraints.erase(--_constraints.end());
}
}
_constraints.insert(std::make_pair(tmp.from(), tmp));
}
// Localization mode stuff
@@ -2128,7 +2161,7 @@ bool Rtabmap::process(
// Loop closure Threshold
if(_highestHypothesis.second >= loopThr)
{
rejectedGlobalLoopClosure = true;
rejectedLoopClosure = true;
if(posterior.size() <= 2 && loopThr>0.0f)
{
// Ignore loop closure if there is only one loop closure hypothesis
@@ -2150,7 +2183,7 @@ bool Rtabmap::process(
else
{
_loopClosureHypothesis = _highestHypothesis;
rejectedGlobalLoopClosure = false;
rejectedLoopClosure = false;
}
timeHypothesesValidation = timer.ticks();
@@ -2161,7 +2194,7 @@ bool Rtabmap::process(
// Used for Precision-Recall computation.
// When analyzing logs, it's convenient to know
// if the hypothesis would be rejected if T_loop would be lower.
rejectedGlobalLoopClosure = true;
rejectedLoopClosure = true;
UDEBUG("rejected hypothesis: under loop ratio %f < %f", _highestHypothesis.second, _loopRatio*lastHighestHypothesis.second);
}
@@ -3030,15 +3063,15 @@ bool Rtabmap::process(
loopClosureVisualInliers = info.inliers;
loopClosureVisualInliersRatio = info.inliersRatio;
loopClosureVisualMatches = info.matches;
rejectedGlobalLoopClosure = transform.isNull();
if(rejectedGlobalLoopClosure)
rejectedLoopClosure = transform.isNull();
if(rejectedLoopClosure)
{
UWARN("Rejected loop closure %d -> %d: %s",
_loopClosureHypothesis.first, signature->id(), info.rejectedMsg.c_str());
}
else if(_maxLoopClosureDistance>0.0f && transform.getNorm() > _maxLoopClosureDistance)
{
rejectedGlobalLoopClosure = true;
rejectedLoopClosure = true;
UWARN("Rejected localization %d -> %d because distance to map (%fm) is over %s=%fm.",
_loopClosureHypothesis.first, signature->id(), transform.getNorm(), Parameters::kRGBDMaxLoopClosureDistance().c_str(), _maxLoopClosureDistance);
}
@@ -3047,7 +3080,7 @@ bool Rtabmap::process(
transform = transform.inverse();
}
}
if(!rejectedGlobalLoopClosure)
if(!rejectedLoopClosure)
{
// Make the new one the parent of the old one
UASSERT(info.covariance.at<double>(0,0) > 0.0 && info.covariance.at<double>(5,5) > 0.0);
@@ -3055,14 +3088,14 @@ bool Rtabmap::process(
loopClosureLinearVariance = uMax3(info.covariance.at<double>(0,0), info.covariance.at<double>(1,1)>=9999?0:info.covariance.at<double>(1,1), info.covariance.at<double>(2,2)>=9999?0:info.covariance.at<double>(2,2));
loopClosureAngularVariance = uMax3(info.covariance.at<double>(3,3)>=9999?0:info.covariance.at<double>(3,3), info.covariance.at<double>(4,4)>=9999?0:info.covariance.at<double>(4,4), info.covariance.at<double>(5,5));
cv::Mat information = getInformation(info.covariance);
rejectedGlobalLoopClosure = !_memory->addLink(Link(signature->id(), _loopClosureHypothesis.first, Link::kGlobalClosure, transform, information));
if(!rejectedGlobalLoopClosure)
rejectedLoopClosure = !_memory->addLink(Link(signature->id(), _loopClosureHypothesis.first, Link::kGlobalClosure, transform, information));
if(!rejectedLoopClosure)
{
loopClosureLinksAdded.push_back(std::make_pair(signature->id(), _loopClosureHypothesis.first));
}
}
if(rejectedGlobalLoopClosure)
if(rejectedLoopClosure)
{
_loopClosureHypothesis.first = 0;
}
@@ -3106,7 +3139,7 @@ bool Rtabmap::process(
{
UINFO("Landmark %d observed again! Seen the first time by node %d.", -iter->first, *_memory->getLandmarksIndex().find(iter->first)->second.begin());
landmarksDetected.insert(std::make_pair(iter->first, _memory->getLandmarksIndex().find(iter->first)->second));
rejectedGlobalLoopClosure = false; // If it was true, it will be set back to false if landmarks are rejected on graph optimization
rejectedLoopClosure = false; // If it was true, it will be set back to false if landmarks are rejected on graph optimization
loopClosureLinksAdded.push_back(std::make_pair(signature->id(), iter->first));
}
}
@@ -3149,8 +3182,8 @@ bool Rtabmap::process(
double optimizationError = 0.0;
int optimizationIterations = 0;
Transform previousMapCorrection;
bool rejectedLandmark = false;
bool delayedLocalization = false;
int odomCacheProximityLinksCleared = 0;
UDEBUG("RGB-D SLAM mode: %d", _rgbdSlamMode?1:0);
UDEBUG("Incremental: %d", _memory->isIncremental());
UDEBUG("Loop hyp: %d", _loopClosureHypothesis.first);
@@ -3269,7 +3302,7 @@ bool Rtabmap::process(
if(!posesOut.empty() &&
posesOut.begin()->first < _odomCachePoses.begin()->first)
{
optPoses = _graphOptimizer->optimize(posesOut.begin()->first, posesOut, edgeConstraintsOut, locOptCovariance);
optPoses = _graphOptimizer->optimize(posesOut.begin()->first, posesOut, edgeConstraintsOut, locOptCovariance, 0, &optimizationError, &optimizationIterations);
}
else
{
@@ -3394,7 +3427,8 @@ bool Rtabmap::process(
}
bool hasGlobalLoopClosuresOrLandmarks = false;
if(rejectLocalization && !graph::filterLinks(constraints, Link::kLocalSpaceClosure, true).empty())
if(rejectLocalization &&
(_localizationSecondTryWithoutProximityLinks && !graph::filterLinks(constraints, Link::kLocalSpaceClosure, true).empty()))
{
// Let's try again without local loop closures
localizationLinks = graph::filterLinks(localizationLinks, Link::kLocalSpaceClosure);
@@ -3418,7 +3452,7 @@ bool Rtabmap::process(
if(!posesOut.empty() &&
posesOut.begin()->first < _odomCachePoses.begin()->first)
{
optPoses = _graphOptimizer->optimize(posesOut.begin()->first, posesOut, edgeConstraintsOut, locOptCovariance);
optPoses = _graphOptimizer->optimize(posesOut.begin()->first, posesOut, edgeConstraintsOut, locOptCovariance, 0, &optimizationError, &optimizationIterations);
}
else
{
@@ -3554,13 +3588,14 @@ bool Rtabmap::process(
_odomCacheConstraints = graph::filterLinks(_odomCacheConstraints, Link::kLocalSpaceClosure);
if(before != _odomCacheConstraints.size())
{
UWARN("Successfully optimized without local loop closures! Clear them from local odometry cache. %ld/%ld have been removed.",
UWARN("Successfully optimized without local loop closures! Clearing them from local odometry cache. %ld/%ld have been removed.",
before - _odomCacheConstraints.size(), before);
}
else
{
UWARN("Successfully optimized without local loop closures!");
}
odomCacheProximityLinksCleared = before - _odomCacheConstraints.size();
}
// Count how many localization links are in the constraints
@@ -3615,6 +3650,14 @@ bool Rtabmap::process(
if(hadAlreadyLocalizationLinks || _maxOdomCacheSize == 0)
{
UINFO("Update localization");
// update odomCachePoses with optimized poses (but make sure to put them back in odom frame)
Transform mapToOdomCache = signature->getPose() * newOptPoseInv;
for(std::map<int, Transform>::iterator iter = _odomCachePoses.begin(); iter!=_odomCachePoses.end(); ++iter)
{
iter->second = mapToOdomCache * optPoses.at(iter->first);
}
if(_optimizeFromGraphEnd)
{
// update all previous nodes
@@ -3737,8 +3780,7 @@ bool Rtabmap::process(
{
_loopClosureHypothesis.first = 0;
lastProximitySpaceClosureId = 0;
rejectedGlobalLoopClosure = true;
rejectedLandmark = true;
rejectedLoopClosure = true;
}
}
else
@@ -3773,8 +3815,7 @@ bool Rtabmap::process(
updateConstraints = false;
_loopClosureHypothesis.first = 0;
lastProximitySpaceClosureId = 0;
rejectedGlobalLoopClosure = true;
rejectedLandmark = true;
rejectedLoopClosure = true;
}
else if(_memory->isIncremental() &&
loopClosureLinksAdded.size() &&
@@ -3884,8 +3925,7 @@ bool Rtabmap::process(
updateConstraints = false;
_loopClosureHypothesis.first = 0;
lastProximitySpaceClosureId = 0;
rejectedGlobalLoopClosure = true;
rejectedLandmark = true;
rejectedLoopClosure = true;
}
}
@@ -3914,7 +3954,7 @@ bool Rtabmap::process(
{
distanceToClosestNodeInTheGraph = _lastLocalizationPose.getDistance(_optimizedPoses.at(closestNode));
UDEBUG("Last localization pose = %s, updated closest node=%d (%f m)", _lastLocalizationPose.prettyPrint().c_str(), closestNode, distanceToClosestNodeInTheGraph);
angleToClosestNodeInTheGraph = (_lastLocalizationPose.inverse() * _optimizedPoses.at(closestNode)).getAngle();
angleToClosestNodeInTheGraph = _lastLocalizationPose.getAngle(_optimizedPoses.at(closestNode));
}
}
_lastLocalizationPose = _optimizedPoses.at(signature->id()); // update
@@ -4046,7 +4086,7 @@ bool Rtabmap::process(
statistics_.addStatistic(Statistics::kLoopDistance_since_last_loc(), _distanceTravelledSinceLastLocalization);
float x,y,z,roll,pitch,yaw;
if(_loopClosureHypothesis.first || lastProximitySpaceClosureId || (!rejectedLandmark && !landmarksDetected.empty()))
if(_loopClosureHypothesis.first || lastProximitySpaceClosureId || (!rejectedLoopClosure && !landmarksDetected.empty()))
{
if(_loopClosureHypothesis.first || lastProximitySpaceClosureId)
{
@@ -4063,16 +4103,15 @@ bool Rtabmap::process(
if(!sLoop->getGroundTruthPose().isNull() && !signature->getGroundTruthPose().isNull())
{
Transform transformGT = sLoop->getGroundTruthPose().inverse() * signature->getGroundTruthPose();
Transform error = loopIter->second.transform().inverse() * transformGT;
statistics_.addStatistic(Statistics::kGtLocalization_linear_error(), error.getNorm());
statistics_.addStatistic(Statistics::kGtLocalization_angular_error(), error.getAngle(1,0,0)*180/M_PI);
statistics_.addStatistic(Statistics::kGtLocalization_linear_error(), loopIter->second.transform().getDistance(transformGT));
statistics_.addStatistic(Statistics::kGtLocalization_angular_error(), loopIter->second.transform().getAngle(transformGT)*180/M_PI);
}
}
_distanceTravelledSinceLastLocalization = 0.0f;
statistics_.addStatistic(Statistics::kLoopMapToOdom_norm(), _mapCorrection.getNorm());
statistics_.addStatistic(Statistics::kLoopMapToOdom_angle(), _mapCorrection.getAngle()*180.0f/M_PI);
statistics_.addStatistic(Statistics::kLoopMapToOdom_angle(), _mapCorrection.getAngle(Transform::getIdentity())*180.0f/M_PI);
_mapCorrection.getTranslationAndEulerAngles(x, y, z, roll, pitch, yaw);
statistics_.addStatistic(Statistics::kLoopMapToOdom_x(), x);
statistics_.addStatistic(Statistics::kLoopMapToOdom_y(), y);
@@ -4086,7 +4125,7 @@ bool Rtabmap::process(
{
Transform odomCorrection = (previousMapCorrection*odomPose).inverse()*_mapCorrection*odomPose;
statistics_.addStatistic(Statistics::kLoopOdom_correction_norm(), odomCorrection.getNorm());
statistics_.addStatistic(Statistics::kLoopOdom_correction_angle(), odomCorrection.getAngle()*180.0f/M_PI);
statistics_.addStatistic(Statistics::kLoopOdom_correction_angle(), odomCorrection.getAngle(Transform::getIdentity())*180.0f/M_PI);
odomCorrection.getTranslationAndEulerAngles(x, y, z, roll, pitch, yaw);
statistics_.addStatistic(Statistics::kLoopOdom_correction_x(), x);
statistics_.addStatistic(Statistics::kLoopOdom_correction_y(), y);
@@ -4107,6 +4146,10 @@ bool Rtabmap::process(
statistics_.addStatistic(Statistics::kLoopMapToBase_yaw(), yaw*180.0f/M_PI);
UINFO("Localization pose = %s", _lastLocalizationPose.prettyPrint().c_str());
if(_localizationSecondTryWithoutProximityLinks) {
statistics_.addStatistic(Statistics::kLoopProximity_links_cleared(), (float)odomCacheProximityLinksCleared);
}
if(_localizationCovariance.total()==36)
{
double varLin = _graphOptimizer->isSlam2d()?
@@ -4148,7 +4191,7 @@ bool Rtabmap::process(
statistics_.addStatistic(Statistics::kKeypointIndex_memory_usage(), _memory->getVWDictionary()->getIndexMemoryUsed());
//Epipolar geometry constraint
statistics_.addStatistic(Statistics::kLoopRejectedHypothesis(), rejectedGlobalLoopClosure?1.0f:0);
statistics_.addStatistic(Statistics::kLoopRejectedHypothesis(), rejectedLoopClosure?1.0f:0);
statistics_.addStatistic(Statistics::kMemorySmall_movement(), smallDisplacement?1.0f:0);
statistics_.addStatistic(Statistics::kMemoryDistance_travelled(), _distanceTravelled);
@@ -4243,7 +4286,7 @@ bool Rtabmap::process(
if(_startNewMapOnLoopClosure &&
_memory->isIncremental() && // only in mapping mode
graph::filterLinks(signature->getLinks(), Link::kSelfRefLink).size() == 0 && // alone in the current map
(landmarksDetected.empty() || rejectedLandmark) && // if we re not seeing a landmark from a previous map
(landmarksDetected.empty() || rejectedLoopClosure) && // if we re not seeing a landmark from a previous map
_memory->getWorkingMem().size()>=2) // The working memory should not be empty (beside virtual signature)
{
UWARN("Ignoring location %d because a global loop closure is required before starting a new map!",
@@ -4263,7 +4306,7 @@ bool Rtabmap::process(
else if((smallDisplacement || tooFastMovement) &&
_loopClosureHypothesis.first == 0 &&
lastProximitySpaceClosureId == 0 &&
(rejectedLandmark || landmarksDetected.empty()) &&
(rejectedLoopClosure || landmarksDetected.empty()) &&
!addedNewLandmark)
{
// Don't delete the location if a loop closure is detected
@@ -4283,7 +4326,7 @@ bool Rtabmap::process(
_loopClosureHypothesis.first == 0 &&
lastProximitySpaceClosureId == 0 &&
!delayedLocalization &&
(rejectedLandmark || landmarksDetected.empty()))
(rejectedLoopClosure || landmarksDetected.empty()))
{
_odomCachePoses.erase(signatureRemoved);
for(std::multimap<int, Link>::iterator iter=_odomCacheConstraints.begin(); iter!=_odomCacheConstraints.end();)
@@ -4691,7 +4734,7 @@ bool Rtabmap::process(
refWordsCount,
dictionarySize,
int(_memory->getWorkingMem().size()),
rejectedGlobalLoopClosure?1:0,
rejectedLoopClosure?1:0,
0,
0,
int(signaturesRetrieved.size()),
+1 -1
View File
@@ -530,7 +530,7 @@ void SensorCaptureThread::mainLoop()
info.odomPose.setNull();
}
if(!data.imageRaw().empty() || !data.laserScanRaw().empty() || (dynamic_cast<DBReader*>(_camera) != 0 && data.id()>0)) // intermediate nodes could not have image set
if(!data.imageCompressed().empty() || !data.imageRaw().empty() || !data.laserScanRaw().empty() || (dynamic_cast<DBReader*>(_camera) != 0 && data.id()>0)) // intermediate nodes could not have image set
{
postUpdate(&data, &info);
info.cameraName = _lidar?_lidar->getSerial():_camera->getSerial();

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