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120 Commits

Author SHA1 Message Date
matlabbe
4d6cfbba20 RTABMapConfig.cmake: added find VTK if vtkGUISupportQt target is required 2016-09-29 12:40:51 -04:00
matlabbe
7f0c49b14d Fixing QVTKWidget linker errors on Kinetic/VTK6/PCL for armhf build 2016-09-27 15:43:23 -04:00
matlabbe
1a1cf5f672 Freenect2: Fixed initRectifyMap error with custom calibration 2016-07-21 12:40:25 -04:00
matlabbe
759c917498 Octomap: changed warning log "Did not find...in cahe" to a debug log 2016-07-21 10:14:22 -04:00
matlabbe
d7b1d617ea GUI: Fixed loaded parameters not actually modified from opened database 2016-07-20 17:07:35 -04:00
matlabbe
1e47271c91 DBReader: Fixed wrong virtual inherited function name odometryProvided() -> odomProvided() 2016-07-20 16:37:32 -04:00
matlabbe
1dca6116be Fixed default parameters on init for octomap 2016-07-20 15:17:59 -04:00
matlabbe
ff59274c95 updated LICENSE year 2016-07-17 22:01:57 -04:00
matlabbe
ca6cd19fb1 Updated Copyright year and About dialog summary 2016-07-17 21:57:10 -04:00
matlabbe
be61eefdf9 Fixed build errors without octomap 2016-07-17 21:36:54 -04:00
matlabbe
cf2bb6b599 CMake: Added PCL_OMP option (default ON) to use OMP implementations of some PCL classes (#50) 2016-07-17 21:04:11 -04:00
matlabbe
d739d04232 Disable multi-arch lib by default (#97) 2016-07-17 20:12:13 -04:00
matlabbe
711ff2692c Updated default x-axis units of the figures with time stamps instead of IDs (#48). 2016-07-17 19:58:32 -04:00
matlabbe
705f4337e4 Fixed #42 2016-07-17 17:44:12 -04:00
matlabbe
237ab2be45 Projection map frame is still doing roll/pitch transformation (without z) 2016-07-17 17:06:36 -04:00
matlabbe
536136af77 Fixed octomap height when in /map frame. Preferences: added Cloud Filtering and Occupancy Grid Map subpanels to 3D Rendering 2016-07-17 16:47:06 -04:00
matlabbe
d4e5cfb548 fixed octomap ground cells removed when updating graph 2016-07-17 15:37:08 -04:00
matlabbe
b5e5e9508c fixed crash when activating octomap while mapping 2016-07-17 14:58:28 -04:00
matlabbe
f161609a24 Added octomap ground is an obstacle option 2016-07-16 10:57:59 -04:00
matlabbe
b4b7b6f455 Added Octomap visualization and export options 2016-07-15 17:46:13 -04:00
Mathieu Labbe
c24079884d Reset stuck when moving toward the goal 2016-07-11 17:40:34 -04:00
matlabbe
38c3e3600d Planning stuck detection updated: now using distance to goal 2016-07-11 17:16:11 -04:00
matlabbe
09795678ef Merge branch 'master' of github.com:introlab/rtabmap into devel 2016-07-08 19:45:00 -04:00
matlabbe
b3207d6402 PLanning: Detect if the pose is reachable from the current node before looking for the nearest one 2016-07-08 19:44:44 -04:00
matlabbe
c6439cb1b7 Merge branch 'master' of github.com:introlab/rtabmap into devel 2016-07-08 19:23:05 -04:00
matlabbe
61f6e5ff79 Using fly distance instead of path distance to update the farthest goals 2016-07-08 19:22:48 -04:00
matlabbe
4cd8705710 Fixed cloudFromDepth() method when depth image is not the same size as the calibration file. That fixes projection map created from Tango databases (where depth size != rgb size) 2016-07-08 12:47:23 -04:00
matlabbe
c8cd2545d3 fixed build without octomap 2016-07-08 00:21:36 -04:00
matlabbe
6f310ff63a util2d::getDepth(): fixed small error on depth assignation (mm) 2016-07-05 18:21:39 -04:00
matlabbe
20862f07bc RegistrationInfo: added IcpTranslation and IcpRotation members 2016-07-05 11:23:59 -04:00
matlabbe
1365eaca3a Merged master to devel 2016-07-04 15:38:28 -04:00
matlabbe
9dfc7801a0 Fixed fatal error in #91 2016-07-04 13:39:33 -04:00
matlabbe
02d4ca5c8b util3d::segmentObstaclesFromGround: added viewPoint argument (default 0,0,100) 2016-07-04 11:47:10 -04:00
matlabbe
c2a7b2f13a Odometry: Added process() with optional guess interface 2016-06-30 11:34:46 -04:00
matlabbe
4115bc416e Added OctoMap class 2016-06-28 19:00:44 -04:00
matlabbe
060a3fd47e Merge branch 'master' of github.com:introlab/rtabmap into devel 2016-06-27 16:11:08 -04:00
matlabbe
84726fa45c Update Odometry.cpp 2016-06-27 16:10:18 -04:00
matlabbe
3609c961ea Merge branch 'master' of github.com:introlab/rtabmap into devel 2016-06-27 16:08:53 -04:00
matlabbe
756e176878 Update Odometry.cpp
Odometry: Added additional debug information on dt>0 assert
2016-06-27 16:08:25 -04:00
matlabbe
1398b71b60 Merge branch 'master' of github.com:introlab/rtabmap into devel 2016-06-27 12:17:55 -04:00
matlabbe
f69ca56179 Features2D: Using 255 mask values for ORB (#89). Fixed ignored mask by FAST when called from ORB. 2016-06-27 11:54:21 -04:00
matlabbe
a310b5e864 DB: Added error when loading a database with version more recent than installed rtabmap version 2016-06-25 13:28:26 -04:00
matlabbe
517bfa5272 OdometryF2M: updated how local scan map is updated 2016-06-25 13:18:09 -04:00
matlabbe
ca95c9de97 Changed an OpenCV_LIBS to OpenCV_LIBRARIES 2016-06-24 21:00:12 -04:00
matlabbe
37c269bc0b fixed a warning 2016-06-24 19:23:11 -04:00
matlabbe
e90c97f8a4 ZED driver: added option to use visual odometry approach from zed sdk. RtabmapThread: fixed thread state change on new map trigger on Odometry init (variance=9999). Odometry: on init, verify that the first frame is ok before sending first pose. Parameters: Mem/SaveDepth16Format is now false by default 2016-06-24 18:49:34 -04:00
matlabbe
af6e17fce8 GUI: Added color code for odometry features 2016-06-24 16:02:27 -04:00
matlabbe
b86352bfc0 merged master to devel 2016-06-23 15:44:24 -04:00
matlabbe
f03a1b50ef Fixed build with ZED SDK 1.0.0... cmake find_package ZED version 1 (#85) 2016-06-23 15:41:32 -04:00
matlabbe
70da8d26c0 Fixed build with ZED SDK 1.0.0 (#85) 2016-06-23 15:40:11 -04:00
matlabbe
333c7433e8 Merge branch 'master' of https://github.com/introlab/rtabmap into devel 2016-06-23 11:27:58 -04:00
matlabbe
f2d48cb894 Fixed ICP-only registration with already provided guess (no need to do visual guess, as the guess can be already good) 2016-06-23 11:08:20 -04:00
matlabbe
22766e958f Update VWDictionary.cpp
Fixed "HAVE_OPENCV_CUDAFEATURES2D" build error of https://github.com/introlab/rtabmap/issues/85
2016-06-22 19:28:22 -04:00
matlabbe
42c3186a53 Memory::computeTransform(): fixed null guess sent to pure ICP registration 2016-06-21 16:42:21 -04:00
matlabbe
530919c531 CameraThread: fixed scan from depth max points with multi-camera 2016-06-21 11:36:50 -04:00
matlabbe
0ec39e3c77 DBReader now inherits from Camera (so that CameraThread's post processing stuff can be used with a database stream) 2016-06-21 11:22:24 -04:00
matlabbe
cdddb1209e DBReader: added camera selection 2016-06-20 10:50:01 -04:00
matlabbe
62db5370aa CloudViewer: Added updateCameraFrustum() method (multi-cameras supported) 2016-06-19 18:33:36 -04:00
matlabbe
ab991c2a7d CameraModel::scaled() scale Tx an Ty too 2016-06-17 16:47:02 -04:00
matlabbe
d03b54d95a Parameters: removed trailing 0 for double/float parameters, to avoid serializing with them (so that we don't have the 0.0 != 0 when loading parameters from database) 2016-06-16 15:34:27 -04:00
matlabbe
62a982ef9f DbDriverSqlite3: Fixed multi-camera calibration loading error with version >= 0.11.2 2016-06-16 14:57:55 -04:00
matlabbe
798c3cb373 Registration: added warning when GuessFlowSize is set and multi-camera is detected instead of crashing on an assert 2016-06-15 18:13:11 -04:00
matlabbe
7f55e2c9bb Merge branch 'master' of github.com:introlab/rtabmap into devel 2016-06-15 16:39:25 -04:00
matlabbe
8e76de7d34 Fixed GTSAM/Eigen include dir 2016-06-15 15:48:56 -04:00
matlabbe
ac284ab067 GUI: fixed odometry visibility flickering 2016-06-15 14:18:26 -04:00
matlabbe
95f9304f4f CameraStereo: fixed rectify=false ignored 2016-06-15 11:36:37 -04:00
matlabbe
7b733686cb Updated CameraVideo and CameraStereoVideo constructor interface with USB 2016-06-15 11:30:05 -04:00
matlabbe
bdafb9a3f1 Merge branch 'master' of github.com:introlab/rtabmap into devel 2016-06-14 11:56:22 -04:00
matlabbe
abd376a44c segmentObstaclesFromGround() fixed identical ground and obstacles indices 2016-06-14 11:55:58 -04:00
matlabbe
38a7993a9b Database: added "parameters" field in Statistics table. GUI: detecting if parameters in database are different from the Preferences, if so ask user to update them. 2016-06-13 17:34:17 -04:00
matlabbe
3edb133727 Increased default Stereo/MaxDisparity to 128 2016-06-13 14:37:19 -04:00
matlabbe
84dd258777 Added "Odom/AligWithGround" parameter. Added util3d::extractPlane(). 2016-06-12 21:45:22 -04:00
matlabbe
543b8df045 MainWindow: Added statistics about how much size the created clouds take in RAM. Avoid caching data on small movements. Export: Fixed meshing checkbox and pipeline combo box not saved/loaded. PreferencesDialog: Added option to disable caching the point clouds. computeNormals(): added viewpoint parameter. mls(): making sure that all returned normals are normalized. 2016-06-12 17:53:35 -04:00
matlabbe
cb7c76889d API achange (0.11.8): computeNormals returns only pcl::Normal cloud, not pcl::PointNormal or pcl::PointXYZRGBNormal types. MainWindow: Normals are not kept in cache to save RAM. ProgressDialog: check if auto-close is still checked when close() slot is called. 2016-06-12 13:51:49 -04:00
matlabbe
9f296c67b2 GUI: Added more parameters for 3D projection grid map 2016-06-10 20:12:13 -04:00
matlabbe
4a3f490814 Added Reg/Force2D compatibility name for Reg/Force3DoF 2016-06-09 15:49:17 -04:00
matlabbe
cbf348fafa labels can be saved in localization mode 2016-06-08 18:19:51 -04:00
matlabbe
e205883de5 Export: set 0 voxel size by default 2016-06-08 11:53:25 -04:00
matlabbe
ce04336648 fixed cmake warning, removed a .DS_Store from repository 2016-06-04 16:21:00 -04:00
matlabbe
a8bf7e5d5f Fixed Qt5 plugins release. Zed driver: sdded 2 seconds delay before sending grab error. 2016-06-04 15:17:13 -04:00
matlabbe
69e1973544 Update MainWindow.cpp 2016-06-03 15:06:18 -04:00
matlabbe
2f817568e2 MainWindow: Don't show an error if a created cloud is empty 2016-06-02 17:52:22 -04:00
matlabbe
d9611f784c Added ZED parameters 2016-06-02 17:27:12 -04:00
matlabbe
9430bcbf2e Increased ROS package version to 0.11.7 2016-06-01 14:53:00 -04:00
matlabbe
a6f7062f92 Export intern dependencies in RTABMapConfig.cmake 2016-06-01 13:13:30 -04:00
matlabbe
e234717129 Fixed ZED sdk build on Linux (added c++11) 2016-05-31 20:19:04 -04:00
matlabbe
6f1f490370 0.11.7: Added ZED sdk support 2016-05-31 19:09:49 -04:00
matlabbe
b2bb421063 Fixed pcl:OrganizedFastMesh link error for type pcl::PointXYZRGBNormal with PCL 1.8 (issue #75) 2016-05-31 12:23:13 -04:00
matlabbe
be13a9b967 Fixed localization bug when virtual links are added 2016-05-26 17:28:06 -04:00
matlabbe
0fa41d317a Added log msg to tell when switching from Mapping to Localization is finished 2016-05-26 12:51:32 -04:00
matlabbe
a4d36e0212 MainWindow: fixed same bug as previous commit 30fecd412c but on runtime 2016-05-26 12:38:18 -04:00
matlabbe
30fecd412c MainWindow: Fixed clouds shown (and should not) after refreshing map with grid from projection enabled and cloud map visualization unchecked 2016-05-26 12:35:02 -04:00
matlabbe
0d61c12dcd Create map from projection: Removed debug cloud saved 2016-05-26 12:23:44 -04:00
matlabbe
7f2a899c6f Updated default decimation to 4 instead of 8 2016-05-26 12:13:59 -04:00
matlabbe
0bbb773e95 fixed passthrough not using input indices 2016-05-21 16:02:57 -04:00
matlabbe
7aa9c92971 Added util3d::pasthrough returning indices for convenience. segmentObstaclesFromGound(): filtering obstacles under maxGroundHeight if set 2016-05-21 15:54:37 -04:00
Mathieu Labbe
904f4bb4d8 Features2d: updated computeROI() to be more precise 2016-05-21 14:56:25 -04:00
matlabbe
09696195f4 Version 0.11.6 2016-05-20 17:27:03 -04:00
matlabbe
971c96f566 MainWindow projected map: fixed bad occupancy from wrong normals after voxel filtering. util3d::segmentObstaclesFromGround(): added flatObstacles argument. 2016-05-20 17:25:52 -04:00
matlabbe
4fdaa2b708 CloudViewer: fixed numpad color not working -> reverted changes from ad0afc58c0 (diff-d7a550026127f42ccabdb5e42979eeeb) 2016-05-20 16:38:35 -04:00
matlabbe
9f6af75f79 Local scan matching: set larger scan points for max scan points when it is not set. Fixed missing scan Ids in links' user data to correctly visualize proximity links by space in DatabaseViewer. CloudViewer: using line instead of arrow between the referential and the frustum. removed parameter "RGBD/ProximityPathScansMerged" as visual proximity by space already does that. 2016-05-20 11:44:50 -04:00
matlabbe
b29ce28877 CloudViewer: Fixed crash when changing frustum's color 2016-05-19 17:19:11 -04:00
matlabbe
ff7406a755 Memory::computeTransform(): removed setting guess to identity if input guess is null 2016-05-19 17:01:46 -04:00
matlabbe
a8be08a19a Registration: if parent registration fails, continue with the child if the prior guess is not null 2016-05-19 16:11:26 -04:00
matlabbe
1ecaae364c Generalized neighbor link refining using registration done in Memory (can be visual, visual+icp or, icp) 2016-05-19 15:35:30 -04:00
Mathieu Labbe
2637f74094 Added some debug info 2016-05-19 14:31:29 -04:00
Mathieu Labbe
02d944aa67 CalibrationDialog: fixed D not shown properly, add scroll area for small screens 2016-05-19 11:40:48 -04:00
matlabbe
a6bad6d2a5 F2F nonholonomic bad transforms fixed (https://github.com/introlab/rtabmap_ros/issues/74) 2016-05-17 18:10:24 -04:00
matlabbe
0ae131108d CloudViewer: Added local transformation between base frame and camera frame (when they are not the same) 2016-05-17 16:32:21 -04:00
matlabbe
2db6b2ceef segmentObstaclesFromGround: Added epsilon for ground surface inclusion inside maximum and minimum heights 2016-05-16 16:26:16 -04:00
matlabbe
f19c058634 Merge branch 'jade-devel' of https://github.com/introlab/rtabmap into jade-devel 2016-05-14 12:11:10 -04:00
matlabbe
ceb4acd749 Merge branch 'master' of https://github.com/introlab/rtabmap into jade-devel 2016-05-14 12:09:29 -04:00
matlabbe
dde0e26110 Tango: C-API Code Migration to Mira release 2016-05-12 14:34:51 -04:00
matlabbe
1fbcc2319a 0.11.5: added RTABMAP_QT_VERSION to RTABMapConfig.cmake (used by rtabmap_ros to know to which Qt version it should link) 2016-05-09 11:17:51 -04:00
matlabbe
b0629d626e Merge branch 'master' of github.com:introlab/rtabmap into jade-devel 2015-10-17 14:16:14 -04:00
matlabbe
ec09d69145 jade package: libfreenect -> libfreenect-dev 2015-08-04 15:52:13 -04:00
matlabbe
8ddbc6bf96 Merge branch 'master' of https://github.com/introlab/rtabmap into jade-devel 2015-05-12 08:37:38 -04:00
matlabbe
b608e50296 Merge branch 'master' of https://github.com/introlab/rtabmap into jade-devel 2015-05-12 08:29:41 -04:00
matlabbe
7fa791992c Jade branch: changed libfreenect to libfreenect-dev ROS dependency (run-depend) 2015-05-10 21:22:59 -04:00
matlabbe
fae21132ee Jade branch: changed libfreenect to libfreenect-dev ROS dependency 2015-05-10 21:13:52 -04:00
218 changed files with 8105 additions and 4136 deletions

View File

@@ -6,9 +6,10 @@ SET(PROJECT_PREFIX rtabmap)
# Catkin doesn't support multiarch library path,
# fix to "lib" if not set by user.
#IF(NOT DEFINED CMAKE_INSTALL_LIBDIR)
# set(CMAKE_INSTALL_LIBDIR "lib")
#ENDIF(NOT DEFINED CMAKE_INSTALL_LIBDIR)
OPTION(MULTI_ARCH "Activate multi-arch lib directory (debian)" OFF)
IF(NOT MULTI_ARCH AND NOT DEFINED CMAKE_INSTALL_LIBDIR)
set(CMAKE_INSTALL_LIBDIR "lib")
ENDIF(NOT MULTI_ARCH AND NOT DEFINED CMAKE_INSTALL_LIBDIR)
INCLUDE(GNUInstallDirs)
@@ -20,7 +21,7 @@ SET(CMAKE_MODULE_PATH "${PROJECT_SOURCE_DIR}/cmake_modules")
#######################
SET(RTABMAP_MAJOR_VERSION 0)
SET(RTABMAP_MINOR_VERSION 11)
SET(RTABMAP_PATCH_VERSION 4)
SET(RTABMAP_PATCH_VERSION 8)
SET(RTABMAP_VERSION
${RTABMAP_MAJOR_VERSION}.${RTABMAP_MINOR_VERSION}.${RTABMAP_PATCH_VERSION})
@@ -136,6 +137,9 @@ option(WITH_TORO "Include TORO support" ON)
option(WITH_VERTIGO "Include Vertigo support" ON)
option(WITH_CVSBA "Include cvsba support" ON)
option(WITH_FLYCAPTURE2 "Include FlyCapture2/Triclops support" ON)
option(WITH_ZED "Include ZED sdk support" ON)
option(WITH_OCTOMAP "Include Octomap support" ON)
option(PCL_OMP "With PCL OMP implementations" ON)
FIND_PACKAGE(OpenCV REQUIRED QUIET)
FIND_PACKAGE(PCL 1.7 REQUIRED QUIET)
@@ -155,6 +159,9 @@ if(OPENMP_FOUND)
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${OpenMP_C_FLAGS}")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${OpenMP_CXX_FLAGS}")
message (STATUS "Found OpenMP")
if(PCL_OMP)
add_definitions(-DPCL_OMP)
endif(PCL_OMP)
else(OPENMP_FOUND)
message (STATUS "Not found OpenMP")
endif()
@@ -169,19 +176,36 @@ IF(ZLIB_FOUND)
MESSAGE(STATUS "Found ZLIB: ${ZLIB_INCLUDE_DIRS}")
ENDIF(ZLIB_FOUND)
SET(ADD_VTK_GUI_SUPPORT_QT_TO_CONF FALSE)
IF(WITH_QT)
FIND_PACKAGE(VTK)
IF(NOT VTK_FOUND)
MESSAGE(FATAL_ERROR "VTK is required when using Qt. Set -DWITH_QT=OFF if you don't want gui tools.")
ENDIF(NOT VTK_FOUND)
# If Qt is here, the GUI will be built
# look for Qt5 before Qt4
FIND_PACKAGE(Qt5 COMPONENTS Widgets Core Gui Svg QUIET)
# look for Qt5 (if vtk>5 is installed) before Qt4
IF("${VTK_MAJOR_VERSION}" GREATER 5)
FIND_PACKAGE(Qt5 COMPONENTS Widgets Core Gui QUIET)
IF(Qt5_FOUND)
FIND_PACKAGE(Qt5 COMPONENTS Widgets Core Gui Svg)
ENDIF(Qt5_FOUND)
ENDIF("${VTK_MAJOR_VERSION}" GREATER 5)
IF(NOT Qt5_FOUND)
FIND_PACKAGE(Qt4 COMPONENTS QtCore QtGui QtSvg)
ENDIF(NOT Qt5_FOUND)
IF(QT4_FOUND OR Qt5_FOUND)
FIND_PACKAGE(VTK REQUIRED)
IF("${VTK_MAJOR_VERSION}" EQUAL 5)
FIND_PACKAGE(QVTK REQUIRED) # only for VTK 5
ENDIF("${VTK_MAJOR_VERSION}" EQUAL 5)
ELSE()
list(FIND PCL_LIBRARIES vtkGUISupportQt value)
IF(value EQUAL -1)
SET(PCL_LIBRARIES "${PCL_LIBRARIES};vtkGUISupportQt")
SET(ADD_VTK_GUI_SUPPORT_QT_TO_CONF TRUE)
ENDIF(value EQUAL -1)
ENDIF()
ENDIF(QT4_FOUND OR Qt5_FOUND)
ENDIF(WITH_QT)
@@ -228,7 +252,57 @@ IF(WITH_GTSAM)
FIND_PACKAGE(GTSAM QUIET)
ENDIF(WITH_GTSAM)
IF(G2O_FOUND OR GTSAM_FOUND)
IF(WITH_FLYCAPTURE2)
FIND_PACKAGE(FlyCapture2 QUIET)
IF(FlyCapture2_FOUND)
MESSAGE(STATUS "Found FlyCapture2: ${FlyCapture2_INCLUDE_DIRS}")
ENDIF(FlyCapture2_FOUND)
ENDIF(WITH_FLYCAPTURE2)
IF(WITH_CVSBA)
FIND_PACKAGE(cvsba QUIET)
IF(cvsba_FOUND)
MESSAGE(STATUS "Found cvsba: ${cvsba_INCLUDE_DIRS}")
ENDIF(cvsba_FOUND)
ENDIF(WITH_CVSBA)
IF(WITH_ZED)
IF(WIN32) # Windows
SET(ZED_INCLUDE_DIRS $ENV{ZED_INCLUDE_DIRS})
if (CMAKE_CL_64) # 64 bits
SET(ZED_LIBRARIES $ENV{ZED_LIBRARIES_64})
else(CMAKE_CL_64) # 32 bits
message("32bits compilation is no more available with CUDA7.0")
endif(CMAKE_CL_64)
SET(ZED_LIBRARY_DIR $ENV{ZED_LIBRARY_DIR})
IF(ZED_LIBRARIES AND ZED_INCLUDE_DIRS)
SET(ZED_FOUND TRUE)
LINK_DIRECTORIES( ${LINK_DIRECTORIES} ${ZED_LIBRARY_DIR})
ENDIF(ZED_LIBRARIES AND ZED_INCLUDE_DIRS)
ELSE() # Linux
find_package(ZED 1 QUIET)
ENDIF(WIN32)
IF(ZED_FOUND)
MESSAGE(STATUS "Found ZED sdk: ${ZED_INCLUDE_DIRS}")
## look for CUDA
find_package(CUDA)
IF(CUDA_FOUND)
MESSAGE(STATUS "Found CUDA: ${CUDA_INCLUDE_DIRS}")
ELSE()
MESSAGE(FATAL_ERROR "CUDA is required to build with Zed sdk! Set -DWITH_ZED=OFF if you don't have CUDA.")
ENDIF()
ENDIF(ZED_FOUND)
ENDIF(WITH_ZED)
IF(WITH_OCTOMAP)
FIND_PACKAGE(OCTOMAP QUIET)
IF(OCTOMAP_FOUND)
MESSAGE(STATUS "Found octomap: ${OCTOMAP_INCLUDE_DIRS}")
ENDIF(OCTOMAP_FOUND)
ENDIF(WITH_OCTOMAP)
IF(G2O_FOUND OR GTSAM_FOUND OR ZED_FOUND)
#Newest versions require std11
IF(NOT MSVC)
include(CheckCXXCompilerFlag)
@@ -242,21 +316,7 @@ IF(G2O_FOUND OR GTSAM_FOUND)
message(STATUS "The compiler ${CMAKE_CXX_COMPILER} has no C++11 support. Please use a different C++ compiler if you want to use g2o or gtsam (set \"-DWITH_G2O=OFF -DWITH_GTSAM=OFF\" to build without g2o and gtsam).")
ENDIF()
ENDIF()
ENDIF(G2O_FOUND OR GTSAM_FOUND)
IF(WITH_FLYCAPTURE2)
FIND_PACKAGE(FlyCapture2 QUIET)
IF(FlyCapture2_FOUND)
MESSAGE(STATUS "Found FlyCapture2: ${FlyCapture2_INCLUDE_DIRS}")
ENDIF(FlyCapture2_FOUND)
ENDIF(WITH_FLYCAPTURE2)
IF(WITH_CVSBA)
FIND_PACKAGE(cvsba QUIET)
IF(cvsba_FOUND)
MESSAGE(STATUS "Found cvsba: ${cvsba_INCLUDE_DIRS}")
ENDIF(cvsba_FOUND)
ENDIF(WITH_CVSBA)
ENDIF(G2O_FOUND OR GTSAM_FOUND OR ZED_FOUND)
####### OSX BUNDLE CMAKE_INSTALL_PREFIX #######
IF(APPLE AND BUILD_AS_BUNDLE)
@@ -287,15 +347,24 @@ ENDIF(APPLE AND BUILD_AS_BUNDLE)
####### SOURCES (Projects) #######
# CONF_DEPENDENCIES contains only dependencies not required by the headers
SET(CONF_DEPENDENCIES
${ZLIB_LIBRARIES}
)
IF(NOT (OPENCV_NONFREE_FOUND OR OPENCV_XFEATURES2D_FOUND))
SET(NONFREE "//")
ENDIF(NOT (OPENCV_NONFREE_FOUND OR OPENCV_XFEATURES2D_FOUND))
IF(NOT G2O_FOUND)
SET(G2O "//")
ENDIF(NOT G2O_FOUND)
ELSE()
SET(CONF_DEPENDENCIES ${CONF_DEPENDENCIES} ${G2O_LIBRARIES})
ENDIF()
IF(NOT GTSAM_FOUND)
SET(GTSAM "//")
ENDIF(NOT GTSAM_FOUND)
ELSE()
SET(CONF_DEPENDENCIES ${CONF_DEPENDENCIES} ${GTSAM_LIBRARIES})
ENDIF()
IF(NOT WITH_TORO)
SET(TORO "//")
ENDIF(NOT WITH_TORO)
@@ -304,22 +373,50 @@ IF(NOT WITH_VERTIGO)
ENDIF(NOT WITH_VERTIGO)
IF(NOT cvsba_FOUND)
SET(CVSBA "//")
ENDIF(NOT cvsba_FOUND)
ELSE()
SET(CONF_DEPENDENCIES ${CONF_DEPENDENCIES} ${cvsba_LIBRARIES})
ENDIF()
IF(NOT Freenect_FOUND)
SET(FREENECT "//")
ENDIF(NOT Freenect_FOUND)
ELSE()
SET(CONF_DEPENDENCIES ${CONF_DEPENDENCIES} ${Freenect_LIBRARIES})
ENDIF()
IF(NOT freenect2_FOUND)
SET(FREENECT2 "//")
ENDIF(NOT freenect2_FOUND)
ELSE()
SET(CONF_DEPENDENCIES ${CONF_DEPENDENCIES} ${freenect2_LIBRARIES})
ENDIF()
IF(NOT OpenNI2_FOUND)
SET(OPENNI2 "//")
ENDIF(NOT OpenNI2_FOUND)
ELSE()
SET(CONF_DEPENDENCIES ${CONF_DEPENDENCIES} ${OpenNI2_LIBRARIES})
ENDIF()
IF(NOT DC1394_FOUND)
SET(DC1394 "//")
ENDIF(NOT DC1394_FOUND)
ELSE()
SET(CONF_DEPENDENCIES ${CONF_DEPENDENCIES} ${DC1394_LIBRARIES})
ENDIF()
IF(NOT FlyCapture2_FOUND)
SET(FLYCAPTURE2 "//")
ENDIF(NOT FlyCapture2_FOUND)
ELSE()
SET(CONF_DEPENDENCIES ${CONF_DEPENDENCIES} ${FlyCapture2_LIBRARIES})
ENDIF()
IF(NOT ZED_FOUND)
SET(ZED "//")
ELSE()
SET(CONF_DEPENDENCIES ${CONF_DEPENDENCIES} ${ZED_LIBRARIES} ${CUDA_LIBRARIES})
ENDIF()
IF(NOT OCTOMAP_FOUND)
SET(OCTOMAP "//")
ELSE()
SET(CONF_DEPENDENCIES ${CONF_DEPENDENCIES} ${OCTOMAP_LIBRARIES})
ENDIF()
IF(ADD_VTK_GUI_SUPPORT_QT_TO_CONF)
SET(CONF_VTK_QT true)
SET(CONF_DEPENDENCIES ${CONF_DEPENDENCIES} vtkGUISupportQt)
ELSE()
SET(CONF_VTK_QT false)
ENDIF()
IF(NOT (OpenCV_FOUND AND OpenCV_VERSION_MAJOR EQUAL 3))
SET(OPENCV3 "//")
ENDIF(NOT (OpenCV_FOUND AND OpenCV_VERSION_MAJOR EQUAL 3))
@@ -373,6 +470,11 @@ set(CONF_INCLUDE_DIRS "${PROJECT_SOURCE_DIR}/corelib/include"
set(CONF_LIB_DIR "${CMAKE_ARCHIVE_OUTPUT_DIRECTORY} ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}")
IF(QT4_FOUND OR Qt5_FOUND)
set(CONF_WITH_GUI ON)
IF(QT4_FOUND)
set(CONF_QT_VERSION 4)
ELSE()
set(CONF_QT_VERSION 5)
ENDIF()
ELSE()
set(CONF_WITH_GUI OFF)
ENDIF()
@@ -589,6 +691,26 @@ ELSE()
MESSAGE(STATUS " With cvsba = NO (cvsba not found)")
ENDIF()
IF(ZED_FOUND)
IF(CUDA_FOUND)
MESSAGE(STATUS " With ZED = YES (With CUDA)")
ELSE()
MESSAGE(STATUS " With ZED = YES (Without CUDA)")
ENDIF()
ELSEIF(NOT WITH_ZED)
MESSAGE(STATUS " With ZED = NO (WITH_ZED=OFF)")
ELSE()
MESSAGE(STATUS " With ZED = NO (ZED sdk not found)")
ENDIF()
IF(OCTOMAP_FOUND)
MESSAGE(STATUS " With OCTOMAP = YES (License: BSD)")
ELSEIF(NOT WITH_OCTOMAP)
MESSAGE(STATUS " With OCTOMAP = NO (WITH_OCTOMAP=OFF)")
ELSE()
MESSAGE(STATUS " With OCTOMAP = NO (octomap not found)")
ENDIF()
IF(QT4_FOUND)
MESSAGE(STATUS " With Qt4 = YES (License: Open Source or Commercial)")
ELSEIF(Qt5_FOUND)

View File

@@ -1,4 +1,4 @@
Copyright (c) 2010-2015, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -61,9 +61,16 @@ if(@CONF_WITH_GUI@)
set(RTABMap_LIBRARIES ${RTABMap_LIBRARIES} ${RTABMap_GUI})
endif(@CONF_WITH_GUI@)
# Dependencies
if(@CONF_VTK_QT@)
find_package(VTK COMPONENTS vtkGUISupportQt NO_MODULE) # to define vtkGUISupportQt target
endif(@CONF_VTK_QT@)
set(RTABMap_LIBRARIES ${RTABMap_LIBRARIES} @CONF_DEPENDENCIES@)
#backward compatibilities
set(RTABMAP_CORE ${RTABMap_CORE})
set(RTABMAP_UTILITE ${RTABMap_UTILITE})
if(RTABMap_GUI)
set(RTABMAP_GUI ${RTABMap_GUI})
endif(RTABMap_GUI)
set(RTABMAP_QT_VERSION @CONF_QT_VERSION@)
endif(RTABMap_GUI)

View File

@@ -49,6 +49,8 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
@CVSBA@#define RTABMAP_CVSBA
@DC1394@#define RTABMAP_DC1394
@FLYCAPTURE2@#define RTABMAP_FLYCAPTURE2
@ZED@#define RTABMAP_ZED
@OCTOMAP@#define RTABMAP_OCTOMAP
#endif /* VERSION_H_ */

BIN
app/.DS_Store vendored

Binary file not shown.

View File

@@ -2,7 +2,7 @@
<!-- BEGIN_INCLUDE(manifest) -->
<manifest xmlns:android="http://schemas.android.com/apk/res/android"
package="com.introlab.rtabmap"
android:versionCode="8"
android:versionCode="9"
android:versionName="@RTABMAP_VERSION@">
<uses-permission android:name="android.permission.CAMERA" />
@@ -11,7 +11,7 @@
<uses-permission android:name="android.permission.READ_FRAME_BUFFER" />
<uses-permission android:name="android.permission.ACCESS_SURFACE_FLINGER" />
<uses-feature android:glEsVersion="0x00020000" />
<uses-library android:name="com.projecttango.libtango_device" android:required="true" />
<uses-library android:name="com.projecttango.libtango_device2" android:required="true" />
<!-- This is the platform API where NativeActivity was introduced. -->
<uses-sdk android:minSdkVersion="17" />

View File

@@ -464,7 +464,7 @@ rtabmap::Transform CameraTango::getPoseAtTimestamp(double timestamp, bool inOpen
return pose;
}
SensorData CameraTango::captureImage()
SensorData CameraTango::captureImage(CameraInfo * info)
{
LOGI("Capturing image...");

View File

@@ -86,7 +86,7 @@ public:
void tangoEventReceived(int type, const char * key, const char * value);
protected:
virtual SensorData captureImage();
virtual SensorData captureImage(CameraInfo * info = 0);
private:
rtabmap::Transform getPoseAtTimestamp(double timestamp, bool inOpenGLFrame);

View File

@@ -56,6 +56,10 @@ const int kVersionStringLength = 128;
static JavaVM *jvm;
static jobject RTABMapActivity = 0;
namespace {
constexpr int kTangoCoreMinimumVersion = 9377;
} // anonymous namespace.
rtabmap::ParametersMap RTABMapApp::getRtabmapParameters()
{
rtabmap::ParametersMap parameters;
@@ -101,7 +105,9 @@ RTABMapApp::RTABMapApp() :
clearSceneOnNextRender_(false),
totalPoints_(0),
totalPolygons_(0),
lastDrawnCloudsCount_(0)
lastDrawnCloudsCount_(0),
renderingFPS_(0.0f)
{
}
@@ -122,19 +128,19 @@ RTABMapApp::~RTABMapApp() {
}
}
int RTABMapApp::TangoInitialize(JNIEnv* env, jobject caller_activity)
void RTABMapApp::onCreate(JNIEnv* env, jobject caller_activity)
{
env->GetJavaVM(&jvm);
RTABMapActivity = env->NewGlobalRef(caller_activity);
LOGI("RTABMapApp::TangoInitialize()");
LOGI("RTABMapApp::onCreate()");
createdMeshes_.clear();
rawPoses_.clear();
clearSceneOnNextRender_ = true;
totalPoints_ = 0;
totalPolygons_ = 0;
lastDrawnCloudsCount_ = 0;
renderingFPS_ = 0.0f;
if(camera_)
{
@@ -158,12 +164,6 @@ int RTABMapApp::TangoInitialize(JNIEnv* env, jobject caller_activity)
this->registerToEventsManager();
camera_ = new rtabmap::CameraTango(fullResolution_?1:2, autoExposure_);
// The first thing we need to do for any Tango enabled application is to
// initialize the service. We'll do that here, passing on the JNI environment
// and jobject corresponding to the Android activity that is calling us.
return TangoService_initialize(env, caller_activity);
}
void RTABMapApp::openDatabase(const std::string & databasePath)
@@ -218,22 +218,27 @@ void RTABMapApp::openDatabase(const std::string & databasePath)
rtabmapMutex_.unlock();
}
int RTABMapApp::onResume()
bool RTABMapApp::onTangoServiceConnected(JNIEnv* env, jobject iBinder)
{
LOGW("onResume()");
LOGW("onTangoServiceConnected()");
if(camera_)
{
camera_->join(true);
if (TangoService_setBinder(env, iBinder) != TANGO_SUCCESS) {
LOGE("TangoHandler::ConnectTango, TangoService_setBinder error");
return false;
}
if(camera_->init())
{
LOGI("Start camera thread");
camera_->start();
return TANGO_SUCCESS;
return true;
}
LOGE("Failed camera initialization!");
}
return TANGO_ERROR;
return false;
}
void RTABMapApp::onPause()
@@ -307,6 +312,7 @@ int RTABMapApp::Render()
totalPoints_ = 0;
totalPolygons_ = 0;
lastDrawnCloudsCount_ = 0;
renderingFPS_ = 0.0f;
}
// Process events
@@ -543,7 +549,9 @@ int RTABMapApp::Render()
}
}
UTimer fpsTime;
lastDrawnCloudsCount_ = main_scene_.Render();
renderingFPS_ = 1.0/fpsTime.elapsed();
if(rtabmapEvents.size())
{
@@ -647,10 +655,7 @@ void RTABMapApp::setAutoExposure(bool enabled)
autoExposure_ = enabled;
if(camera_)
{
camera_->join(true);
camera_->close();
camera_->setAutoExposure(autoExposure_);
onResume();
}
}
}
@@ -1104,7 +1109,7 @@ void RTABMapApp::handleEvent(UEvent * event)
jclass clazz = env->GetObjectClass(RTABMapActivity);
if(clazz)
{
jmethodID methodID = env->GetMethodID(clazz, "updateStatsCallback", "(IIIIFIIIIIFII)V" );
jmethodID methodID = env->GetMethodID(clazz, "updateStatsCallback", "(IIIIFIIIIIFIFI)V" );
if(methodID)
{
env->CallVoidMethod(RTABMapActivity, methodID,
@@ -1120,6 +1125,7 @@ void RTABMapApp::handleEvent(UEvent * event)
featuresExtracted,
hypothesis,
lastDrawnCloudsCount_,
renderingFPS_,
rejected);
success = true;
}

View File

@@ -50,14 +50,11 @@ class RTABMapApp : public UEventsHandler {
RTABMapApp();
~RTABMapApp();
// Initialize the Tango Service, this function starts the communication
// between the application and the Tango Service.
// The activity object is used for checking if the API version is outdated.
int TangoInitialize(JNIEnv* env, jobject caller_activity);
void onCreate(JNIEnv* env, jobject caller_activity);
void openDatabase(const std::string & databasePath);
int onResume();
bool onTangoServiceConnected(JNIEnv* env, jobject iBinder);
// Explicitly reset motion tracking and restart the pipeline.
// Note that this will cause motion tracking to re-initialize.
@@ -163,6 +160,7 @@ class RTABMapApp : public UEventsHandler {
int totalPoints_;
int totalPolygons_;
int lastDrawnCloudsCount_;
float renderingFPS_;
// main_scene_ includes all drawable object for visualizing Tango device's
// movement and point cloud.

View File

@@ -48,11 +48,11 @@ void GetJStringContent(JNIEnv *AEnv, jstring AStr, std::string &ARes) {
AEnv->ReleaseStringUTFChars(AStr,s);
}
JNIEXPORT jint JNICALL
Java_com_introlab_rtabmap_RTABMapLib_initialize(
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_onCreate(
JNIEnv* env, jobject, jobject activity)
{
return app.TangoInitialize(env, activity);
return app.onCreate(env, activity);
}
JNIEXPORT void JNICALL
@@ -64,10 +64,10 @@ Java_com_introlab_rtabmap_RTABMapLib_openDatabase(
return app.openDatabase(databasePathC);
}
JNIEXPORT jint JNICALL
Java_com_introlab_rtabmap_RTABMapLib_onResume(
JNIEnv*, jobject) {
return app.onResume();
JNIEXPORT bool JNICALL
Java_com_introlab_rtabmap_RTABMapLib_onTangoServiceConnected(
JNIEnv* env, jobject, jobject iBinder) {
return app.onTangoServiceConnected(env, iBinder);
}
JNIEXPORT void JNICALL

View File

@@ -219,6 +219,21 @@
android:layout_width="wrap_content"
android:layout_height="wrap_content" />
</LinearLayout>
<LinearLayout
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:orientation="horizontal" >
<TextView
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:text="@string/fps" />
<TextView
android:id="@+id/fps"
android:layout_width="wrap_content"
android:layout_height="wrap_content" />
</LinearLayout>
</LinearLayout>

View File

@@ -20,5 +20,6 @@
<string name="polygons">"Polygons: "</string>
<string name="memory">"Memory (MB): "</string>
<string name="hypothesis">"Hypothesis: "</string>
<string name="fps">"FPS (rendering): "</string>
</resources>

View File

@@ -9,8 +9,10 @@ import android.app.Notification;
import android.app.NotificationManager;
import android.app.PendingIntent;
import android.app.ProgressDialog;
import android.content.ComponentName;
import android.content.DialogInterface;
import android.content.Intent;
import android.content.ServiceConnection;
import android.content.pm.PackageInfo;
import android.content.pm.PackageManager;
import android.content.pm.PackageManager.NameNotFoundException;
@@ -20,6 +22,7 @@ import android.os.Bundle;
import android.os.Environment;
import android.os.Handler;
import android.os.Debug;
import android.os.IBinder;
import android.text.Editable;
import android.text.InputType;
import android.util.Log;
@@ -99,6 +102,24 @@ public class RTABMapActivity extends Activity implements OnClickListener {
private Toast mToast = null;
//Tango Service connection.
ServiceConnection mTangoServiceConnection = new ServiceConnection() {
public void onServiceConnected(ComponentName name, IBinder service) {
if(!RTABMapLib.onTangoServiceConnected(service))
{
mToast.makeText(getApplicationContext(),
String.format("Failed to intialize Tango!"), mToast.LENGTH_SHORT).show();
}
}
public void onServiceDisconnected(ComponentName name) {
// Handle this if you need to gracefully shutdown/retry
// in the event that Tango itself crashes/gets upgraded while running.
mToast.makeText(getApplicationContext(),
String.format("Tango disconnected!"), mToast.LENGTH_SHORT).show();
}
};
@Override
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
@@ -172,7 +193,7 @@ public class RTABMapActivity extends Activity implements OnClickListener {
Environment.getExternalStorageState()), mToast.LENGTH_LONG).show();
}
RTABMapLib.initialize(this);
RTABMapLib.onCreate(this);
RTABMapLib.openDatabase(mTempDatabasePath);
}
@@ -193,6 +214,8 @@ public class RTABMapActivity extends Activity implements OnClickListener {
protected void onResume() {
super.onResume();
TangoInitializationHelper.bindTangoService(this, mTangoServiceConnection);
Log.i(TAG, String.format("onResume()"));
if (Tango.hasPermission(this, Tango.PERMISSIONTYPE_MOTION_TRACKING)) {
@@ -209,12 +232,6 @@ public class RTABMapActivity extends Activity implements OnClickListener {
mItemPostProcessing.setEnabled(false);
}
if(RTABMapLib.onResume()!=0)
{
mToast.makeText(getApplicationContext(),
String.format("Failed to connect with Tango!"), mToast.LENGTH_SHORT).show();
}
} else {
Log.i(TAG, String.format("Asking for motion tracking permission"));
startActivityForResult(
@@ -232,6 +249,8 @@ public class RTABMapActivity extends Activity implements OnClickListener {
RTABMapLib.onPause();
mOpenedDatabasePath = "";
RTABMapLib.openDatabase(mTempDatabasePath);
unbindService(mTangoServiceConnection);
}
@Override
@@ -318,6 +337,7 @@ public class RTABMapActivity extends Activity implements OnClickListener {
int featuresExtracted,
float hypothesis,
int nodesDrawn,
float fps,
int rejected)
{
if(mItemPause!=null)
@@ -335,6 +355,7 @@ public class RTABMapActivity extends Activity implements OnClickListener {
((TextView)findViewById(R.id.features)).setText(String.format("%d / %s", featuresExtracted, mMaxFeaturesValues[mParamMaxFeaturesIndex]));
((TextView)findViewById(R.id.update_time)).setText(String.format("%.3f / %s", updateTime, mTimeThrValues[mParamTimeThrMsIndex]));
((TextView)findViewById(R.id.hypothesis)).setText(String.format("%.3f / %s (%d)", hypothesis, mLoopThrValues[mParamLoopThrMsIndex], loopClosureId>0?loopClosureId:highestHypId));
((TextView)findViewById(R.id.fps)).setText(String.format("%.3f Hz", fps));
if(mItemPause!=null && !mItemPause.isChecked())
{
if(loopClosureId > 0)
@@ -367,13 +388,14 @@ public class RTABMapActivity extends Activity implements OnClickListener {
final int features,
final float hypothesis,
final int nodesDrawn,
final float fps,
final int rejected)
{
Log.i(TAG, String.format("updateStatsCallback()"));
runOnUiThread(new Runnable() {
public void run() {
updateStatsUI(nodes, words, points, polygons, updateTime, loopClosureId, highestHypId, databaseMemoryUsed, inliers, features, hypothesis, nodesDrawn, rejected);
updateStatsUI(nodes, words, points, polygons, updateTime, loopClosureId, highestHypId, databaseMemoryUsed, inliers, features, hypothesis, nodesDrawn, fps, rejected);
}
});
}
@@ -469,6 +491,7 @@ public class RTABMapActivity extends Activity implements OnClickListener {
((TextView)findViewById(R.id.features)).setText(String.valueOf(0));
((TextView)findViewById(R.id.update_time)).setText(String.valueOf(0));
((TextView)findViewById(R.id.hypothesis)).setText(String.valueOf(0));
((TextView)findViewById(R.id.fps)).setText(String.valueOf(0));
mTotalLoopClosures = 0;
((TextView)findViewById(R.id.total_loop)).setText(String.valueOf(mTotalLoopClosures));
@@ -764,6 +787,10 @@ public class RTABMapActivity extends Activity implements OnClickListener {
{
item.setChecked(!item.isChecked());
RTABMapLib.setAutoExposure(item.isChecked());
// restart Tango service
onPause();
onResume();
}
else if(itemId == R.id.resolution)
{
@@ -1024,6 +1051,7 @@ public class RTABMapActivity extends Activity implements OnClickListener {
((TextView)findViewById(R.id.features)).setText(String.valueOf(0));
((TextView)findViewById(R.id.update_time)).setText(String.valueOf(0));
((TextView)findViewById(R.id.hypothesis)).setText(String.valueOf(0));
((TextView)findViewById(R.id.fps)).setText(String.valueOf(0));
mTotalLoopClosures = 0;
((TextView)findViewById(R.id.total_loop)).setText(String.valueOf(mTotalLoopClosures));

View File

@@ -1,6 +1,8 @@
package com.introlab.rtabmap;
import android.os.IBinder;
import android.view.KeyEvent;
import android.util.Log;
// Wrapper for native library
@@ -8,19 +10,29 @@ import android.view.KeyEvent;
public class RTABMapLib
{
static
{
System.loadLibrary("NativeRTABMap");
static {
// This project depends on tango_client_api, so we need to make sure we load
// the correct library first.
if (TangoInitializationHelper.loadTangoSharedLibrary() ==
TangoInitializationHelper.ARCH_ERROR) {
Log.e(RTABMapActivity.class.getSimpleName(), "ERROR! Unable to load libtango_client_api.so!");
}
System.loadLibrary("NativeRTABMap");
}
// Initialize the Tango Service, this function starts the communication
// between the application and Tango Service.
// The activity object is used for checking if the API version is outdated.
public static native int initialize(RTABMapActivity activity);
public static native void onCreate(RTABMapActivity activity);
public static native void openDatabase(String databasePath);
public static native int onResume();
/*
* Called when the Tango service is connected.
*
* @param binder The native binder object.
*/
public static native boolean onTangoServiceConnected(IBinder binder);
// Release all non OpenGl resources that are allocated from the program.
public static native void onPause();

View File

@@ -0,0 +1,136 @@
/*
* Copyright 2016 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.
*
* Copied for convenience from https://github.com/googlesamples/tango-examples-c/blob/master/cpp_example_util/app/src/main/java/com/projecttango/examples/cpp/util/TangoInitializationHelper.java
*/
package com.introlab.rtabmap;
import android.content.Context;
import android.content.Intent;
import android.content.ServiceConnection;
import android.os.Build;
import android.os.IBinder;
import android.util.Log;
import java.io.File;
/**
* Functions for simplifying the process of initializing TangoService, and function
* handles loading correct libtango_client_api.so.
*/
public class TangoInitializationHelper {
public static final int ARCH_ERROR = -2;
public static final int ARCH_FALLBACK = -1;
public static final int ARCH_DEFAULT = 0;
public static final int ARCH_ARM64 = 1;
public static final int ARCH_ARM32 = 2;
public static final int ARCH_X86_64 = 3;
public static final int ARCH_X86 = 4;
/**
* Only for apps using the C API:
* Initializes the underlying TangoService for native apps.
*
* @return returns false if the device doesn't have the Tango running as Android Service.
* Otherwise ture.
*/
public static final boolean bindTangoService(final Context context,
ServiceConnection connection) {
Intent intent = new Intent();
intent.setClassName("com.google.tango", "com.google.atap.tango.TangoService");
boolean hasJavaService = (context.getPackageManager().resolveService(intent, 0) != null);
// User doesn't have the latest packagename for TangoCore, fallback to the previous name.
if (!hasJavaService) {
intent = new Intent();
intent.setClassName("com.projecttango.tango", "com.google.atap.tango.TangoService");
hasJavaService = (context.getPackageManager().resolveService(intent, 0) != null);
}
// User doesn't have a Java-fied TangoCore at all; fallback to the deprecated approach
// of doing nothing and letting the native side auto-init to the system-service version
// of Tango.
if (!hasJavaService) {
return false;
}
return context.bindService(intent, connection, Context.BIND_AUTO_CREATE);
}
/**
* Load the libtango_client_api.so library based on different Tango device setup.
*
* @return returns the loaded architecture id.
*/
public static final int loadTangoSharedLibrary() {
int loadedSoId = ARCH_ERROR;
String basePath = "/data/data/com.google.tango/libfiles/";
if (!(new File(basePath).exists())) {
basePath = "/data/data/com.projecttango.tango/libfiles/";
}
Log.i("TangoInitializationHelper", "basePath: " + basePath);
try {
System.load(basePath + "arm64-v8a/libtango_client_api.so");
loadedSoId = ARCH_ARM64;
Log.i("TangoInitializationHelper", "Success! Using arm64-v8a/libtango_client_api.");
} catch (UnsatisfiedLinkError e) {
}
if (loadedSoId < ARCH_DEFAULT) {
try {
System.load(basePath + "armeabi-v7a/libtango_client_api.so");
loadedSoId = ARCH_ARM32;
Log.i("TangoInitializationHelper", "Success! Using armeabi-v7a/libtango_client_api.");
} catch (UnsatisfiedLinkError e) {
}
}
if (loadedSoId < ARCH_DEFAULT) {
try {
System.load(basePath + "x86_64/libtango_client_api.so");
loadedSoId = ARCH_X86_64;
Log.i("TangoInitializationHelper", "Success! Using x86_64/libtango_client_api.");
} catch (UnsatisfiedLinkError e) {
}
}
if (loadedSoId < ARCH_DEFAULT) {
try {
System.load(basePath + "x86/libtango_client_api.so");
loadedSoId = ARCH_X86;
Log.i("TangoInitializationHelper", "Success! Using x86/libtango_client_api.");
} catch (UnsatisfiedLinkError e) {
}
}
if (loadedSoId < ARCH_DEFAULT) {
try {
System.load(basePath + "default/libtango_client_api.so");
loadedSoId = ARCH_DEFAULT;
Log.i("TangoInitializationHelper", "Success! Using default/libtango_client_api.");
} catch (UnsatisfiedLinkError e) {
}
}
if (loadedSoId < ARCH_DEFAULT) {
try {
System.loadLibrary("tango_client_api");
loadedSoId = ARCH_FALLBACK;
Log.i("TangoInitializationHelper", "Falling back to libtango_client_api.so symlink.");
} catch (UnsatisfiedLinkError e) {
}
}
return loadedSoId;
}
}

View File

@@ -137,11 +137,25 @@ IF((APPLE AND BUILD_AS_BUNDLE) OR WIN32)
# Install needed Qt plugins by copying directories from the qt installation
# One can cull what gets copied by using 'REGEX "..." EXCLUDE'
# Exclude debug libraries
INSTALL(DIRECTORY "${QT_PLUGINS_DIR}/imageformats"
IF(QT_PLUGINS_DIR)
INSTALL(DIRECTORY "${QT_PLUGINS_DIR}/imageformats"
DESTINATION ${plugin_dest_dir}/plugins
COMPONENT runtime
REGEX ".*d4.dll" EXCLUDE
REGEX ".*d4.a" EXCLUDE)
ELSE()
#Qt5
foreach(plugin ${Qt5Gui_PLUGINS})
get_target_property(plugin_loc ${plugin} LOCATION)
get_filename_component(plugin_dir ${plugin_loc} DIRECTORY)
string(REPLACE "plugins" ";" loc_list ${plugin_dir})
list(GET loc_list 1 plugin_type)
#MESSAGE(STATUS "Qt5 plugin \"${plugin_loc}\" installed in \"${plugin_dest_dir}/plugins${plugin_type}\"")
INSTALL(FILES ${plugin_loc}
DESTINATION ${plugin_dest_dir}/plugins${plugin_type}
COMPONENT runtime)
endforeach()
ENDIF()
# install a qt.conf file
# this inserts some cmake code into the install script to write the file

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@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -56,6 +56,7 @@ public:
virtual bool init(const std::string & calibrationFolder = ".", const std::string & cameraName = "") = 0;
virtual bool isCalibrated() const = 0;
virtual std::string getSerial() const = 0;
virtual bool odomProvided() const { return false; }
//getters
float getImageRate() const {return _imageRate;}
@@ -76,7 +77,7 @@ protected:
/**
* returned rgb and depth images should be already rectified if calibration was loaded
*/
virtual SensorData captureImage() = 0;
virtual SensorData captureImage(CameraInfo * info = 0) = 0;
int getNextSeqID() {return ++_seq;}

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -39,22 +39,27 @@ public:
CameraInfo() :
cameraName(""),
id(0),
stamp(0.0),
timeCapture(0.0f),
timeDisparity(0.0f),
timeMirroring(0.0f),
timeImageDecimation(0.0f),
timeScanFromDepth(0.0f)
timeScanFromDepth(0.0f),
odomCovariance(cv::Mat::eye(6,6,CV_64FC1))
{
}
virtual ~CameraInfo() {}
std::string cameraName;
int id;
double stamp;
float timeCapture;
float timeDisparity;
float timeMirroring;
float timeImageDecimation;
float timeScanFromDepth;
Transform odomPose;
cv::Mat odomCovariance;
};
} // namespace rtabmap

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -119,7 +119,7 @@ public:
}
protected:
virtual SensorData captureImage();
virtual SensorData captureImage(CameraInfo * info = 0);
private:
std::string _path;
@@ -178,6 +178,7 @@ public:
public:
CameraVideo(int usbDevice = 0,
bool rectifyImages = false,
float imageRate = 0,
const Transform & localTransform = Transform::getIdentity());
CameraVideo(const std::string & filePath,
@@ -193,7 +194,7 @@ public:
const std::string & getFilePath() const {return _filePath;}
protected:
virtual SensorData captureImage();
virtual SensorData captureImage(CameraInfo * info = 0);
private:
// File type

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -97,7 +97,7 @@ public:
virtual std::string getSerial() const;
protected:
virtual SensorData captureImage();
virtual SensorData captureImage(CameraInfo * info = 0);
private:
pcl::Grabber* interface_;
@@ -131,7 +131,7 @@ public:
virtual std::string getSerial() const {return "";} // unknown with OpenCV
protected:
virtual SensorData captureImage();
virtual SensorData captureImage(CameraInfo * info = 0);
private:
bool _asus;
@@ -168,7 +168,7 @@ public:
void setOpenNI2StampsAndIDsUsed(bool used) {_openNI2StampsAndIDsUsed = used;}
protected:
virtual SensorData captureImage();
virtual SensorData captureImage(CameraInfo * info = 0);
private:
openni::Device * _device;
@@ -204,7 +204,7 @@ public:
virtual std::string getSerial() const;
protected:
virtual SensorData captureImage();
virtual SensorData captureImage(CameraInfo * info = 0);
private:
int deviceId_;
@@ -249,7 +249,7 @@ public:
virtual std::string getSerial() const;
protected:
virtual SensorData captureImage();
virtual SensorData captureImage(CameraInfo * info = 0);
private:
int deviceId_;
@@ -291,7 +291,7 @@ public:
virtual std::string getSerial() const;
protected:
virtual SensorData captureImage();
virtual SensorData captureImage(CameraInfo * info = 0);
private:
CameraImages cameraDepth_;

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -39,6 +39,14 @@ namespace FlyCapture2
class Camera;
}
namespace sl
{
namespace zed
{
class Camera;
}
}
namespace rtabmap
{
@@ -62,7 +70,7 @@ public:
virtual std::string getSerial() const;
protected:
virtual SensorData captureImage();
virtual SensorData captureImage(CameraInfo * info = 0);
private:
DC1394Device *device_;
@@ -87,13 +95,64 @@ public:
virtual std::string getSerial() const;
protected:
virtual SensorData captureImage();
virtual SensorData captureImage(CameraInfo * info = 0);
private:
FlyCapture2::Camera * camera_;
void * triclopsCtx_; // TriclopsContext
};
/////////////////////////
// CameraStereoZED
/////////////////////////
class RTABMAP_EXP CameraStereoZed :
public Camera
{
public:
static bool available();
public:
CameraStereoZed(
int deviceId,
int resolution = 2, // 0=HD2K, 1=HD1080, 2=HD720, 3=VGA
int quality = 1, // 0=NONE, 1=PERFORMANCE, 2=QUALITY
int sensingMode = 1,// 0=FULL, 1=RAW
int confidenceThr = 100,
bool computeOdometry = false,
float imageRate=0.0f,
const Transform & localTransform = Transform::getIdentity());
CameraStereoZed(
const std::string & svoFilePath,
int quality = 1, // 0=NONE, 1=PERFORMANCE, 2=QUALITY
int sensingMode = 1,// 0=FULL, 1=RAW
int confidenceThr = 100,
bool computeOdometry = false,
float imageRate=0.0f,
const Transform & localTransform = Transform::getIdentity());
virtual ~CameraStereoZed();
virtual bool init(const std::string & calibrationFolder = ".", const std::string & cameraName = "");
virtual bool isCalibrated() const;
virtual std::string getSerial() const;
virtual bool odomProvided() const { return computeOdometry_; }
protected:
virtual SensorData captureImage(CameraInfo * info = 0);
private:
sl::zed::Camera * zed_;
StereoCameraModel stereoModel_;
CameraVideo::Source src_;
int usbDevice_;
std::string svoFilePath_;
int resolution_;
int quality_;
int sensingMode_;
int confidenceThr_;
bool computeOdometry_;
bool lost_;
};
/////////////////////////
// CameraStereoImages
/////////////////////////
@@ -123,7 +182,7 @@ public:
virtual std::string getSerial() const;
protected:
virtual SensorData captureImage();
virtual SensorData captureImage(CameraInfo * info = 0);
private:
CameraImages * camera2_;
@@ -147,6 +206,11 @@ public:
bool rectifyImages = false,
float imageRate=0.0f,
const Transform & localTransform = Transform::getIdentity());
CameraStereoVideo(
int device,
bool rectifyImages = false,
float imageRate = 0.0f,
const Transform & localTransform = Transform::getIdentity());
virtual ~CameraStereoVideo();
virtual bool init(const std::string & calibrationFolder = ".", const std::string & cameraName = "");
@@ -154,7 +218,7 @@ public:
virtual std::string getSerial() const;
protected:
virtual SensorData captureImage();
virtual SensorData captureImage(CameraInfo * info = 0);
private:
cv::VideoCapture capture_;
@@ -162,6 +226,8 @@ private:
bool rectifyImages_;
StereoCameraModel stereoModel_;
std::string cameraName_;
CameraVideo::Source src_;
int usbDevice_;
};
} // namespace rtabmap

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -88,7 +88,7 @@ public:
void updateLink(const Link & link);
public:
void addStatisticsAfterRun(int stMemSize, int lastSignAdded, int processMemUsed, int databaseMemUsed, int dictionarySize) const;
void addStatisticsAfterRun(int stMemSize, int lastSignAdded, int processMemUsed, int databaseMemUsed, int dictionarySize, const ParametersMap & parameters) const;
public:
// Mutex-protected methods of abstract versions below
@@ -107,6 +107,7 @@ public:
int getLastDictionarySize() const; // working memory
int getTotalNodesSize() const;
int getTotalDictionarySize() const;
ParametersMap getLastParameters() const;
void executeNoResult(const std::string & sql) const;
@@ -149,6 +150,7 @@ private:
virtual int getLastDictionarySizeQuery() const = 0;
virtual int getTotalNodesSizeQuery() const = 0;
virtual int getTotalDictionarySizeQuery() const = 0;
virtual ParametersMap getLastParametersQuery() const = 0;
virtual void executeNoResultQuery(const std::string & sql) const = 0;

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -30,11 +30,9 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include "rtabmap/core/RtabmapExp.h" // DLL export/import defines
#include <rtabmap/utilite/UThreadNode.h>
#include <rtabmap/utilite/UTimer.h>
#include <rtabmap/utilite/UEventsSender.h>
#include <rtabmap/core/Transform.h>
#include <rtabmap/core/OdometryEvent.h>
#include <rtabmap/core/Camera.h>
#include <opencv2/core/core.hpp>
@@ -45,34 +43,45 @@ namespace rtabmap {
class DBDriver;
class RTABMAP_EXP DBReader : public UThreadNode, public UEventsSender {
class RTABMAP_EXP DBReader : public Camera {
public:
DBReader(const std::string & databasePath,
float frameRate = 0.0f,
float frameRate = 0.0f, // -1 = use Database stamps, 0 = inf
bool odometryIgnored = false,
bool ignoreGoalDelay = false,
bool goalsIgnored = false);
bool goalsIgnored = false,
int startIndex = 0,
int cameraIndex = -1);
DBReader(const std::list<std::string> & databasePaths,
float frameRate = 0.0f,
float frameRate = 0.0f, // -1 = use Database stamps, 0 = inf
bool odometryIgnored = false,
bool ignoreGoalDelay = false,
bool goalsIgnored = false);
bool goalsIgnored = false,
int startIndex = 0,
int cameraIndex = -1);
virtual ~DBReader();
bool init(int startIndex=0);
void setFrameRate(float frameRate);
OdometryEvent getNextData();
virtual bool init(
const std::string & calibrationFolder = ".",
const std::string & cameraName = "");
virtual bool isCalibrated() const;
virtual std::string getSerial() const;
virtual bool odomProvided() const {return !_odometryIgnored;}
protected:
virtual void mainLoopBegin();
virtual void mainLoop();
virtual SensorData captureImage(CameraInfo * info = 0);
private:
SensorData getNextData(CameraInfo * info = 0);
private:
std::list<std::string> _paths;
float _frameRate; // -1 = use Database stamps, 0 = inf
bool _odometryIgnored;
bool _ignoreGoalDelay;
bool _goalsIgnored;
int _startIndex;
int _cameraIndex;
DBDriver * _dbDriver;
UTimer _timer;
@@ -80,6 +89,7 @@ private:
std::set<int>::iterator _currentId;
double _previousStamp;
int _previousMapID;
bool _calibrated;
};
} /* namespace rtabmap */

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -79,6 +79,13 @@ std::multimap<int, int>::const_iterator RTABMAP_EXP findLink(
int to,
bool checkBothWays = true);
std::multimap<int, Link> RTABMAP_EXP filterLinks(
const std::multimap<int, Link> & links,
Link::Type filteredType);
std::map<int, Link> RTABMAP_EXP filterLinks(
const std::map<int, Link> & links,
Link::Type filteredType);
//Note: This assumes a coordinate system where X is forward, * Y is up, and Z is right.
std::map<int, Transform> RTABMAP_EXP frustumPosesFiltering(
const std::map<int, Transform> & poses,

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -0,0 +1,96 @@
/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef SRC_OCTOMAP_H_
#define SRC_OCTOMAP_H_
#include "rtabmap/core/RtabmapExp.h" // DLL export/import defines
#include <octomap/ColorOcTree.h>
#include <octomap/OcTreeKey.h>
#include <pcl/pcl_base.h>
#include <pcl/point_types.h>
#include <rtabmap/core/Transform.h>
#include <map>
#include <string>
namespace rtabmap {
class OcTreeNodeInfo
{
public:
OcTreeNodeInfo(int nodeRefId, const octomap::OcTreeKey & key, bool isObstacle) :
nodeRefId_(nodeRefId),
key_(key),
isObstacle_(isObstacle) {}
int nodeRefId_;
octomap::OcTreeKey key_;
bool isObstacle_;
};
class RTABMAP_EXP OctoMap {
public:
OctoMap(float voxelSize = 0.1f);
const std::map<int, Transform> & addedNodes() const {return addedNodes_;}
void addToCache(int nodeId,
pcl::PointCloud<pcl::PointXYZRGB>::Ptr & ground,
pcl::PointCloud<pcl::PointXYZRGB>::Ptr & obstacles);
void update(const std::map<int, Transform> & poses);
const octomap::ColorOcTree * octree() const {return octree_;}
pcl::PointCloud<pcl::PointXYZRGB>::Ptr createCloud(
unsigned int treeDepth = 0,
std::vector<int> * obstacleIndices = 0,
std::vector<int> * emptyIndices = 0) const;
cv::Mat createProjectionMap(
float & xMin,
float & yMin,
float & gridCellSize,
float minGridSize);
bool writeBinary(const std::string & path);
virtual ~OctoMap();
void clear();
private:
std::map<int, std::pair<pcl::PointCloud<pcl::PointXYZRGB>::Ptr, pcl::PointCloud<pcl::PointXYZRGB>::Ptr> > cache_;
octomap::ColorOcTree * octree_;
std::map<octomap::ColorOcTreeNode*, OcTreeNodeInfo> occupiedCells_;
std::map<int, Transform> addedNodes_;
octomap::KeyRay keyRay_;
};
} /* namespace rtabmap */
#endif /* SRC_OCTOMAP_H_ */

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -55,12 +55,14 @@ public:
public:
virtual ~Odometry();
Transform process(SensorData & data, OdometryInfo * info = 0);
Transform process(SensorData & data, const Transform & guess, OdometryInfo * info = 0);
virtual void reset(const Transform & initialPose = Transform::getIdentity());
//getters
const Transform & getPose() const {return _pose;}
bool isInfoDataFilled() const {return _fillInfoData;}
const Transform & previousVelocityTransform() const {return previousVelocityTransform_;}
double previousStamp() const {return previousStamp_;}
private:
virtual Transform computeTransform(SensorData & data, const Transform & guess = Transform(), OdometryInfo * info = 0) = 0;
@@ -84,6 +86,7 @@ private:
float _kalmanProcessNoise;
float _kalmanMeasurementNoise;
int _imageDecimation;
bool _alignWithGround;
Transform _pose;
int _resetCurrentCount;
double previousStamp_;

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -55,7 +55,7 @@ private:
Registration * registrationPipeline_;
Signature refFrame_;
Transform motionSinceLastKeyFrame_;
Transform lastKeyFramePose_;
};
}

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -31,6 +31,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include <rtabmap/core/Odometry.h>
#include <pcl/point_cloud.h>
#include <pcl/point_types.h>
#include <pcl/pcl_base.h>
namespace rtabmap {
@@ -57,13 +58,13 @@ private:
int maxNewFeatures_;
float scanKeyFrameThr_;
int scanMaximumMapSize_;
float scanSubstractRadius_;
float scanSubtractRadius_;
std::string fixedMapPath_;
Registration * regPipeline_;
Signature * map_;
Signature * lastFrame_;
std::map<int, pcl::PointCloud<pcl::PointNormal>::Ptr > scansBuffer_;
std::vector<std::pair<pcl::PointCloud<pcl::PointNormal>::Ptr, pcl::IndicesPtr> > scansBuffer_;
};
}

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

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@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -172,9 +172,9 @@ class RTABMAP_EXP Parameters
RTABMAP_PARAM(Rtabmap, PublishLastSignature, bool, true, "Publishing last signature.");
RTABMAP_PARAM(Rtabmap, PublishPdf, bool, true, "Publishing pdf.");
RTABMAP_PARAM(Rtabmap, PublishLikelihood, bool, true, "Publishing likelihood.");
RTABMAP_PARAM(Rtabmap, TimeThr, float, 0.0, "Maximum time allowed for the detector (ms) (0 means infinity).");
RTABMAP_PARAM(Rtabmap, TimeThr, float, 0, "Maximum time allowed for the detector (ms) (0 means infinity).");
RTABMAP_PARAM(Rtabmap, MemoryThr, int, 0, "Maximum signatures in the Working Memory (ms) (0 means infinity).");
RTABMAP_PARAM(Rtabmap, DetectionRate, float, 1.0, "Detection rate. RTAB-Map will filter input images to satisfy this rate.");
RTABMAP_PARAM(Rtabmap, DetectionRate, float, 1, "Detection rate. RTAB-Map will filter input images to satisfy this rate.");
RTABMAP_PARAM(Rtabmap, ImageBufferSize, unsigned int, 1, "Data buffer size (0 min inf).");
RTABMAP_PARAM(Rtabmap, CreateIntermediateNodes, bool, false, "Create intermediate nodes between loop closure detection. Only used when Rtabmap/DetectionRate>0.");
RTABMAP_PARAM_STR(Rtabmap, WorkingDirectory, "", "Working directory.");
@@ -186,7 +186,7 @@ class RTABMAP_EXP Parameters
// Hypotheses selection
RTABMAP_PARAM(Rtabmap, LoopThr, float, 0.11, "Loop closing threshold.");
RTABMAP_PARAM(Rtabmap, LoopRatio, float, 0.0, "The loop closure hypothesis must be over LoopRatio x lastHypothesisValue.");
RTABMAP_PARAM(Rtabmap, LoopRatio, float, 0, "The loop closure hypothesis must be over LoopRatio x lastHypothesisValue.");
// Memory
RTABMAP_PARAM(Mem, RehearsalSimilarity, float, 0.6, "Rehearsal similarity.");
@@ -194,7 +194,7 @@ class RTABMAP_EXP Parameters
RTABMAP_PARAM(Mem, BinDataKept, bool, true, "Keep binary data in db.");
RTABMAP_PARAM(Mem, RawDescriptorsKept, bool, true, "Raw descriptors kept in memory.");
RTABMAP_PARAM(Mem, MapLabelsAdded, bool, true, "Create map labels. The first node of a map will be labelled as \"map#\" where # is the map ID.");
RTABMAP_PARAM(Mem, SaveDepth16Format, bool, true, "Save depth image into 16 bits format to reduce memory used. Warning: values over ~65 meters are ignored (maximum 65535 millimeters).");
RTABMAP_PARAM(Mem, SaveDepth16Format, bool, false, "Save depth image into 16 bits format to reduce memory used. Warning: values over ~65 meters are ignored (maximum 65535 millimeters).");
RTABMAP_PARAM(Mem, NotLinkedNodesKept, bool, true, "Keep not linked nodes in db (rehearsed nodes and deleted nodes).");
RTABMAP_PARAM(Mem, STMSize, unsigned int, 10, "Short-term memory size.");
RTABMAP_PARAM(Mem, IncrementalMemory, bool, true, "SLAM mode, otherwise it is Localization mode.");
@@ -215,15 +215,15 @@ class RTABMAP_EXP Parameters
RTABMAP_PARAM(Kp, NNStrategy, int, 1, "kNNFlannNaive=0, kNNFlannKdTree=1, kNNFlannLSH=2, kNNBruteForce=3, kNNBruteForceGPU=4");
RTABMAP_PARAM(Kp, IncrementalDictionary, bool, true, "");
RTABMAP_PARAM(Kp, IncrementalFlann, bool, true, "When using FLANN based strategy, add/remove points to its index without always rebuilding the index (the index is built only when the dictionary doubles in size).");
RTABMAP_PARAM(Kp, MaxDepth, float, 0.0, "Filter extracted keypoints by depth (0=inf).");
RTABMAP_PARAM(Kp, MinDepth, float, 0.0, "Filter extracted keypoints by depth.");
RTABMAP_PARAM(Kp, MaxDepth, float, 0, "Filter extracted keypoints by depth (0=inf).");
RTABMAP_PARAM(Kp, MinDepth, float, 0, "Filter extracted keypoints by depth.");
RTABMAP_PARAM(Kp, MaxFeatures, int, 400, "Maximum features extracted from the images (0 means not bounded, <0 means no extraction).");
RTABMAP_PARAM(Kp, BadSignRatio, float, 0.5, "Bad signature ratio (less than Ratio x AverageWordsPerImage = bad).");
RTABMAP_PARAM(Kp, NndrRatio, float, 0.8, "NNDR ratio (A matching pair is detected, if its distance is closer than X times the distance of the second nearest neighbor.)");
#ifdef RTABMAP_NONFREE
RTABMAP_PARAM(Kp, DetectorStrategy, int, 0, "0=SURF 1=SIFT 2=ORB 3=FAST/FREAK 4=FAST/BRIEF 5=GFTT/FREAK 6=GFTT/BRIEF 7=BRISK.");
RTABMAP_PARAM(Kp, DetectorStrategy, int, 0, "0=SURF 1=SIFT 2=ORB 3=FAST/FREAK 4=FAST/BRIEF 5=GFTT/FREAK 6=GFTT/BRIEF 7=BRISK 8=GFTT/ORB.");
#else
RTABMAP_PARAM(Kp, DetectorStrategy, int, 2, "0=SURF 1=SIFT 2=ORB 3=FAST/FREAK 4=FAST/BRIEF 5=GFTT/FREAK 6=GFTT/BRIEF 7=BRISK.");
RTABMAP_PARAM(Kp, DetectorStrategy, int, 2, "0=SURF 1=SIFT 2=ORB 3=FAST/FREAK 4=FAST/BRIEF 5=GFTT/FREAK 6=GFTT/BRIEF 7=BRISK 8=GFTT/ORB.");
#endif
RTABMAP_PARAM(Kp, TfIdfLikelihoodUsed, bool, true, "Use of the td-idf strategy to compute the likelihood.");
RTABMAP_PARAM(Kp, Parallelized, bool, true, "If the dictionary update and signature creation were parallelized.");
@@ -243,7 +243,7 @@ class RTABMAP_EXP Parameters
// Keypoints descriptors/detectors
RTABMAP_PARAM(SURF, Extended, bool, false, "Extended descriptor flag (true - use extended 128-element descriptors; false - use 64-element descriptors).");
RTABMAP_PARAM(SURF, HessianThreshold, float, 500.0, "Threshold for hessian keypoint detector used in SURF.");
RTABMAP_PARAM(SURF, HessianThreshold, float, 500, "Threshold for hessian keypoint detector used in SURF.");
RTABMAP_PARAM(SURF, Octaves, int, 4, "Number of pyramid octaves the keypoint detector will use.");
RTABMAP_PARAM(SURF, OctaveLayers, int, 2, "Number of octave layers within each octave.");
RTABMAP_PARAM(SURF, Upright, bool, false, "Up-right or rotated features flag (true - do not compute orientation of features; false - compute orientation).");
@@ -253,7 +253,7 @@ class RTABMAP_EXP Parameters
RTABMAP_PARAM(SIFT, NFeatures, int, 0, "The number of best features to retain. The features are ranked by their scores (measured in SIFT algorithm as the local contrast).");
RTABMAP_PARAM(SIFT, NOctaveLayers, int, 3, "The number of layers in each octave. 3 is the value used in D. Lowe paper. The number of octaves is computed automatically from the image resolution.");
RTABMAP_PARAM(SIFT, ContrastThreshold, double, 0.04, "The contrast threshold used to filter out weak features in semi-uniform (low-contrast) regions. The larger the threshold, the less features are produced by the detector.");
RTABMAP_PARAM(SIFT, EdgeThreshold, double, 10.0, "The threshold used to filter out edge-like features. Note that the its meaning is different from the contrastThreshold, i.e. the larger the edgeThreshold, the less features are filtered out (more features are retained).");
RTABMAP_PARAM(SIFT, EdgeThreshold, double, 10, "The threshold used to filter out edge-like features. Note that the its meaning is different from the contrastThreshold, i.e. the larger the edgeThreshold, the less features are filtered out (more features are retained).");
RTABMAP_PARAM(SIFT, Sigma, double, 1.6, "The sigma of the Gaussian applied to the input image at the octave #0. If your image is captured with a weak camera with soft lenses, you might want to reduce the number.");
RTABMAP_PARAM(BRIEF, Bytes, int, 32, "Bytes is a length of descriptor in bytes. It can be equal 16, 32 or 64 bytes.");
@@ -284,12 +284,12 @@ class RTABMAP_EXP Parameters
RTABMAP_PARAM(FREAK, OrientationNormalized, bool, true, "Enable orientation normalization.");
RTABMAP_PARAM(FREAK, ScaleNormalized, bool, true, "Enable scale normalization.");
RTABMAP_PARAM(FREAK, PatternScale, float, 22.0, "Scaling of the description pattern.");
RTABMAP_PARAM(FREAK, PatternScale, float, 22, "Scaling of the description pattern.");
RTABMAP_PARAM(FREAK, NOctaves, int, 4, "Number of octaves covered by the detected keypoints.");
RTABMAP_PARAM(BRISK, Thresh, int, 30, "FAST/AGAST detection threshold score.");
RTABMAP_PARAM(BRISK, Octaves, int, 3, "Detection octaves. Use 0 to do single scale.");
RTABMAP_PARAM(BRISK, PatternScale, float, 1.0, "Apply this scale to the pattern used for sampling the neighbourhood of a keypoint.");
RTABMAP_PARAM(BRISK, PatternScale, float, 1, "Apply this scale to the pattern used for sampling the neighbourhood of a keypoint.");
// BayesFilter
RTABMAP_PARAM(Bayes, VirtualPlacePriorThr, float, 0.9, "Virtual place prior");
@@ -298,7 +298,7 @@ class RTABMAP_EXP Parameters
// Verify hypotheses
RTABMAP_PARAM(VhEp, MatchCountMin, int, 8, "Minimum of matching visual words pairs to accept the loop hypothesis.");
RTABMAP_PARAM(VhEp, RansacParam1, float, 3.0, "Fundamental matrix (see cvFindFundamentalMat()): Max distance (in pixels) from the epipolar line for a point to be inlier.");
RTABMAP_PARAM(VhEp, RansacParam1, float, 3, "Fundamental matrix (see cvFindFundamentalMat()): Max distance (in pixels) from the epipolar line for a point to be inlier.");
RTABMAP_PARAM(VhEp, RansacParam2, float, 0.99, "Fundamental matrix (see cvFindFundamentalMat()): Performance of the RANSAC.");
// RGB-D SLAM
@@ -307,11 +307,11 @@ class RTABMAP_EXP Parameters
RTABMAP_PARAM(RGBD, AngularUpdate, float, 0.1, "Minimum angular displacement to update the map. Rehearsal is done prior to this, so weights are still updated.");
RTABMAP_PARAM(RGBD, NewMapOdomChangeDistance, float, 0, "A new map is created if a change of odometry translation greater than X m is detected (0 m = disabled).");
RTABMAP_PARAM(RGBD, OptimizeFromGraphEnd, bool, false, "Optimize graph from the newest node. If false, the graph is optimized from the oldest node of the current graph (this adds an overhead computation to detect to oldest mode of the current graph, but it can be useful to preserve the map referential from the oldest node). Warning when set to false: when some nodes are transferred, the first referential of the local map may change, resulting in momentary changes in robot/map position (which are annoying in teleoperation).");
RTABMAP_PARAM(RGBD, OptimizeMaxError, float, 1.0, "Reject loop closures if optimization error is greater than this value (0=disabled). This will help to detect when a wrong loop closure is added to the graph. Not compatible with \"Optimizer/Robust\" if enabled.");
RTABMAP_PARAM(RGBD, OptimizeMaxError, float, 1, "Reject loop closures if optimization error is greater than this value (0=disabled). This will help to detect when a wrong loop closure is added to the graph. Not compatible with \"Optimizer/Robust\" if enabled.");
RTABMAP_PARAM(RGBD, GoalReachedRadius, float, 0.5, "Goal reached radius (m).");
RTABMAP_PARAM(RGBD, PlanStuckIterations, int, 0, "Mark the current goal node on the path as unreachable if it is not updated after X iterations (0=disabled). If all upcoming nodes on the path are unreachabled, the plan fails.");
RTABMAP_PARAM(RGBD, PlanLinearVelocity, float, 0.0, "Linear velocity (m/sec) used to compute path weights.");
RTABMAP_PARAM(RGBD, PlanAngularVelocity, float, 0.0, "Angular velocity (rad/sec) used to compute path weights.");
RTABMAP_PARAM(RGBD, PlanLinearVelocity, float, 0, "Linear velocity (m/sec) used to compute path weights.");
RTABMAP_PARAM(RGBD, PlanAngularVelocity, float, 0, "Angular velocity (rad/sec) used to compute path weights.");
RTABMAP_PARAM(RGBD, GoalsSavedInUserData, bool, false, "When a goal is received and processed with success, it is saved in user data of the location with this format: \"GOAL:#\".");
RTABMAP_PARAM(RGBD, MaxLocalRetrieved, unsigned int, 2, "Maximum local locations retrieved (0=disabled) near the current pose in the local map or on the current planned path (those on the planned path have priority).");
RTABMAP_PARAM(RGBD, LocalRadius, float, 10, "Local radius (m) for nodes selection in the local map. This parameter is used in some approaches about the local map management.");
@@ -323,11 +323,10 @@ class RTABMAP_EXP Parameters
// Local/Proximity loop closure detection
RTABMAP_PARAM(RGBD, ProximityByTime, bool, false, "Detection over all locations in STM.");
RTABMAP_PARAM(RGBD, ProximityBySpace, bool, true, "Detection over locations (in Working Memory or STM) near in space.");
RTABMAP_PARAM(RGBD, ProximityPathScansMerged, bool, true, "Merge close laser scans on each path. If false, only the nearest laser scan on the path is used for ICP.");
RTABMAP_PARAM(RGBD, ProximityMaxGraphDepth, int, 50, "Maximum depth from the current/last loop closure location and the local loop closure hypotheses. Set 0 to ignore.");
RTABMAP_PARAM(RGBD, ProximityPathFilteringRadius, float, 0.5, "Path filtering radius.");
RTABMAP_PARAM(RGBD, ProximityPathRawPosesUsed, bool, true, "When comparing to a local path, merge the scan using the odometry poses (with neighbor link optimizations) instead of the ones in the optimized local graph.");
RTABMAP_PARAM(RGBD, ProximityAngle, float, 45.0, "Maximum angle (degrees) for visual proximity detection.");
RTABMAP_PARAM(RGBD, ProximityAngle, float, 45, "Maximum angle (degrees) for visual proximity detection.");
// Graph optimization
#ifdef RTABMAP_GTSAM
@@ -347,7 +346,7 @@ class RTABMAP_EXP Parameters
RTABMAP_PARAM(g2o, Solver, int, 0, "0=csparse 1=pcg 2=cholmod");
RTABMAP_PARAM(g2o, Optimizer, int, 0, "0=Levenberg 1=GaussNewton");
RTABMAP_PARAM(g2o, PixelVariance, double, 1.0, "Pixel variance used for SBA.");
RTABMAP_PARAM(g2o, PixelVariance, double, 1, "Pixel variance used for SBA.");
// Odometry
RTABMAP_PARAM(Odom, Strategy, int, 0, "0=Frame-to-Map (F2M) 1=Frame-to-Frame (F2F)");
@@ -367,12 +366,13 @@ class RTABMAP_EXP Parameters
RTABMAP_PARAM(Odom, KeyFrameThr, float, 0.3, "[Visual] Create a new keyframe when the number of inliers drops under this ratio of features in last frame. Setting the value to 0 means that a keyframe is created for each processed frame.");
RTABMAP_PARAM(Odom, ScanKeyFrameThr, float, 0.7, "[Geometry] Create a new keyframe when the number of ICP inliers drops under this ratio of points in last frame's scan. Setting the value to 0 means that a keyframe is created for each processed frame.");
RTABMAP_PARAM(Odom, ImageDecimation, int, 1, "Decimation of the images before registration.");
RTABMAP_PARAM(Odom, AlignWithGround, bool, false, "Align odometry with the ground on initialization.");
// Odometry Bag-of-words
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, ScanMaxSize, int, 2000, "[Geometry] Maximum local scan map size.");
RTABMAP_PARAM(OdomF2M, ScanSubstractRadius, 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, 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_STR(OdomF2M, FixedMapPath, "", "Path to a fixed map (RTAB-Map's database) to be used for odometry. Odometry will be constraint to this map. RGB-only images can be used if odometry PnP estimation is used.")
// Odometry Mono
@@ -391,16 +391,26 @@ class RTABMAP_EXP Parameters
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, "[Vis/EstimationType = 0] Maximum distance for feature correspondences. Used by 3D->3D estimation approach.");
RTABMAP_PARAM(Vis, RefineIterations, int, 5, "[Vis/EstimationType = 0] Number of iterations used to refine the transformation found by RANSAC. 0 means that the transformation is not refined.");
RTABMAP_PARAM(Vis, PnPReprojError, float, 2.0, "[Vis/EstimationType = 1] PnP reprojection error.");
RTABMAP_PARAM(Vis, PnPReprojError, float, 2, "[Vis/EstimationType = 1] PnP reprojection error.");
RTABMAP_PARAM(Vis, PnPFlags, int, 1, "[Vis/EstimationType = 1] PnP flags: 0=Iterative, 1=EPNP, 2=P3P");
RTABMAP_PARAM(Vis, PnPRefineIterations, int, 1, "[Vis/EstimationType = 1] Refine iterations.");
RTABMAP_PARAM(Vis, EpipolarGeometryVar, float, 0.02, "[Vis/EstimationType = 2] Epipolar geometry maximum variance to accept the transformation.");
RTABMAP_PARAM(Vis, MinInliers, int, 20, "Minimum feature correspondences to compute/accept the transformation.");
RTABMAP_PARAM(Vis, Iterations, int, 100, "Maximum iterations to compute the transform.");
RTABMAP_PARAM(Vis, FeatureType, int, 6, "0=SURF 1=SIFT 2=ORB 3=FAST/FREAK 4=FAST/BRIEF 5=GFTT/FREAK 6=GFTT/BRIEF 7=BRISK.");
#ifndef RTABMAP_NONFREE
#ifdef RTABMAP_OPENCV3
// OpenCV 3 without xFeatures2D module doesn't have BRIEF
RTABMAP_PARAM(Vis, FeatureType, int, 8, "0=SURF 1=SIFT 2=ORB 3=FAST/FREAK 4=FAST/BRIEF 5=GFTT/FREAK 6=GFTT/BRIEF 7=BRISK 8=GFTT/ORB.");
#else
RTABMAP_PARAM(Vis, FeatureType, int, 6, "0=SURF 1=SIFT 2=ORB 3=FAST/FREAK 4=FAST/BRIEF 5=GFTT/FREAK 6=GFTT/BRIEF 7=BRISK 8=GFTT/ORB.");
#endif
#else
RTABMAP_PARAM(Vis, FeatureType, int, 6, "0=SURF 1=SIFT 2=ORB 3=FAST/FREAK 4=FAST/BRIEF 5=GFTT/FREAK 6=GFTT/BRIEF 7=BRISK 8=GFTT/ORB.");
#endif
RTABMAP_PARAM(Vis, MaxFeatures, int, 1000, "0 no limits.");
RTABMAP_PARAM(Vis, MaxDepth, float, 0.0, "Max depth of the features (0 means no limit).");
RTABMAP_PARAM(Vis, MinDepth, float, 0.0, "Min depth of the features (0 means no limit).");
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_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.");
@@ -421,7 +431,7 @@ class RTABMAP_EXP Parameters
RTABMAP_PARAM(Icp, DownsamplingStep, int, 1, "Downsampling step size (1=no sampling). This is done before uniform sampling.");
RTABMAP_PARAM(Icp, MaxCorrespondenceDistance, float, 0.05, "Max distance for point correspondences.");
RTABMAP_PARAM(Icp, Iterations, int, 30, "Max iterations.");
RTABMAP_PARAM(Icp, Epsilon, float, 0.0, "Set the transformation epsilon (maximum allowable difference between two consecutive transformations) in order for an optimization to be considered as having converged to the final solution.");
RTABMAP_PARAM(Icp, Epsilon, float, 0, "Set the transformation epsilon (maximum allowable difference between two consecutive transformations) in order for an optimization to be considered as having converged to the final solution.");
RTABMAP_PARAM(Icp, CorrespondenceRatio, float, 0.2, "Ratio of matching correspondences to accept the transform.");
RTABMAP_PARAM(Icp, PointToPlane, bool, false, "Use point to plane ICP.");
RTABMAP_PARAM(Icp, PointToPlaneNormalNeighbors, int, 20, "Number of neighbors to compute normals for point to plane.");
@@ -432,7 +442,7 @@ class RTABMAP_EXP Parameters
RTABMAP_PARAM(Stereo, Iterations, int, 30, "Maximum iterations.");
RTABMAP_PARAM(Stereo, MaxLevel, int, 3, "Maximum pyramid level.");
RTABMAP_PARAM(Stereo, MinDisparity, int, 1, "Minimum disparity.");
RTABMAP_PARAM(Stereo, MaxDisparity, int, 64, "Maximum disparity.");
RTABMAP_PARAM(Stereo, MaxDisparity, int, 128, "Maximum disparity.");
RTABMAP_PARAM(Stereo, OpticalFlow, bool, true, "Use optical flow to find stereo correspondences, otherwise a simple block matching approach is used.");
RTABMAP_PARAM(Stereo, SSD, bool, true, "[Stereo/OpticalFlow = false] Use Sum of Squared Differences (SSD) window, otherwise Sum of Absolute Differences (SAD) window is used.");
RTABMAP_PARAM(Stereo, Eps, double, 0.01, "[Stereo/OpticalFlow = true] Epsilon stop criterion.");
@@ -485,6 +495,9 @@ public:
static std::string getVersion();
static std::string getDefaultDatabaseName();
static std::string serialize(const ParametersMap & parameters);
static ParametersMap deserialize(const std::string & parameters);
static bool isFeatureParameter(const std::string & param);
static ParametersMap getDefaultOdometryParameters(bool stereo = false);
static ParametersMap getDefaultParameters(const std::string & group);

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@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2015, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

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@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

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@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

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@@ -1,9 +1,29 @@
/*
* RegistrationInfo.h
*
* Created on: Jan 5, 2016
* Author: mathieu
*/
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef REGISTRATIONINFO_H_
#define REGISTRATIONINFO_H_
@@ -18,7 +38,9 @@ public:
variance(0),
inliers(0),
matches(0),
icpInliersRatio(0)
icpInliersRatio(0),
icpTranslation(0.0f),
icpRotation(0.0f)
{
}
@@ -33,6 +55,8 @@ public:
// RegistrationIcp
float icpInliersRatio;
float icpTranslation;
float icpRotation;
};
}

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@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

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@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -70,6 +70,7 @@ public:
void close(bool databaseSaved = true);
const std::string & getWorkingDir() const {return _wDir;}
bool isRGBDMode() const { return _rgbdSlamMode; }
int getLoopClosureId() const {return _loopClosureHypothesis.first;}
float getLoopClosureValue() const {return _loopClosureHypothesis.second;}
int getHighestHypothesisId() const {return _highestHypothesis.first;}
@@ -196,7 +197,6 @@ private:
int _proximityMaxGraphDepth;
float _proximityFilteringRadius;
bool _proximityRawPosesUsed;
bool _proximityScansMerged;
float _proximityAngle;
std::string _databasePath;
bool _optimizeFromGraphEnd;
@@ -246,6 +246,7 @@ private:
unsigned int _pathGoalIndex;
Transform _pathTransformToGoal;
int _pathStuckCount;
float _pathStuckDistance;
};

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@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

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@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

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@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

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@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -194,6 +194,8 @@ public:
void setGroundTruth(const Transform & pose) {groundTruth_ = pose;}
const Transform & groundTruth() const {return groundTruth_;}
long getMemoryUsed() const; // Return memory usage in Bytes
private:
int _id;
double _stamp;

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@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -145,6 +145,7 @@ public:
void setRefImageId(int refImageId) {_refImageId = refImageId;}
void setLoopClosureId(int loopClosureId) {_loopClosureId = loopClosureId;}
void setProximityDetectionId(int id) {_proximiyDetectionId = id;}
void setStamp(double stamp) {_stamp = stamp;}
void setSignatures(const std::map<int, Signature> & signatures) {_signatures = signatures;}
@@ -165,6 +166,7 @@ public:
int refImageId() const {return _refImageId;}
int loopClosureId() const {return _loopClosureId;}
int proximityDetectionId() const {return _proximiyDetectionId;}
double stamp() const {return _stamp;}
const std::map<int, Signature> & getSignatures() const {return _signatures;}
@@ -188,6 +190,7 @@ private:
int _refImageId;
int _loopClosureId;
int _proximiyDetectionId;
double _stamp;
std::map<int, Signature> _signatures;

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@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

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@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

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@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

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@@ -1,9 +1,29 @@
/*
* util3d_mapping.hpp
*
* Created on: 2015-05-13
* Author: mathieu
*/
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef UTIL3D_MAPPING_HPP_
#define UTIL3D_MAPPING_HPP_
@@ -17,6 +37,19 @@
namespace rtabmap{
namespace util3d{
template<typename PointT>
typename pcl::PointCloud<PointT>::Ptr projectCloudOnXYPlane(
const typename pcl::PointCloud<PointT> & cloud)
{
typename pcl::PointCloud<PointT>::Ptr output(new pcl::PointCloud<PointT>);
*output = cloud;
for(unsigned int i=0; i<output->size(); ++i)
{
output->at(i).z = 0;
}
return output;
}
template<typename PointT>
void segmentObstaclesFromGround(
const typename pcl::PointCloud<PointT>::Ptr & cloud,
@@ -28,10 +61,16 @@ void segmentObstaclesFromGround(
float clusterRadius,
int minClusterSize,
bool segmentFlatObstacles,
float maxGroundHeight)
float maxGroundHeight,
pcl::IndicesPtr * flatObstacles,
const Eigen::Vector4f & viewPoint)
{
ground.reset(new std::vector<int>);
obstacles.reset(new std::vector<int>);
if(flatObstacles)
{
flatObstacles->reset(new std::vector<int>);
}
if(cloud->size())
{
@@ -42,7 +81,7 @@ void segmentObstaclesFromGround(
groundNormalAngle,
Eigen::Vector4f(0,0,1,0),
normalKSearch,
Eigen::Vector4f(0,0,100,0));
viewPoint);
if(segmentFlatObstacles)
{
@@ -71,10 +110,15 @@ void segmentObstaclesFromGround(
{
Eigen::Vector4f centroid;
pcl::compute3DCentroid(*cloud, *clusteredFlatSurfaces.at(i), centroid);
if(centroid[2] >= min[2] && centroid[2] <= max[2])
if(centroid[2] >= min[2]-0.01 &&
(centroid[2] <= max[2]+0.01 || (maxGroundHeight>0 && centroid[2] <= maxGroundHeight+0.01))) // epsilon
{
ground = util3d::concatenate(ground, clusteredFlatSurfaces.at(i));
}
else if(flatObstacles)
{
*flatObstacles = util3d::concatenate(*flatObstacles, clusteredFlatSurfaces.at(i));
}
}
}
}
@@ -82,6 +126,10 @@ void segmentObstaclesFromGround(
{
// reject ground!
ground.reset(new std::vector<int>);
if(flatObstacles)
{
*flatObstacles = flatSurfaces;
}
}
}
}
@@ -95,15 +143,24 @@ void segmentObstaclesFromGround(
// Remove ground
pcl::IndicesPtr otherStuffIndices = util3d::extractIndices(cloud, ground, true);
//Cluster remaining stuff (obstacles)
std::vector<pcl::IndicesPtr> clusteredObstaclesSurfaces = util3d::extractClusters(
cloud,
otherStuffIndices,
clusterRadius,
minClusterSize);
// If ground height is set, remove obstacles under it
if(maxGroundHeight > 0.0f)
{
otherStuffIndices = rtabmap::util3d::passThrough(cloud, otherStuffIndices, "z", maxGroundHeight, std::numeric_limits<float>::max());
}
// merge indices
obstacles = util3d::concatenate(clusteredObstaclesSurfaces);
//Cluster remaining stuff (obstacles)
if(otherStuffIndices->size())
{
std::vector<pcl::IndicesPtr> clusteredObstaclesSurfaces = util3d::extractClusters(
cloud,
otherStuffIndices,
clusterRadius,
minClusterSize);
// merge indices
obstacles = util3d::concatenate(clusteredObstaclesSurfaces);
}
}
}
}
@@ -118,7 +175,9 @@ void segmentObstaclesFromGround(
float clusterRadius,
int minClusterSize,
bool segmentFlatObstacles,
float maxGroundHeight)
float maxGroundHeight,
pcl::IndicesPtr * flatObstacles,
const Eigen::Vector4f & viewPoint)
{
pcl::IndicesPtr indices(new std::vector<int>);
segmentObstaclesFromGround<PointT>(
@@ -131,7 +190,82 @@ void segmentObstaclesFromGround(
clusterRadius,
minClusterSize,
segmentFlatObstacles,
maxGroundHeight);
maxGroundHeight,
flatObstacles,
viewPoint);
}
template<typename PointT>
void occupancy2DFromGroundObstacles(
const typename pcl::PointCloud<PointT>::Ptr & cloud,
const pcl::IndicesPtr & groundIndices,
const pcl::IndicesPtr & obstaclesIndices,
cv::Mat & ground,
cv::Mat & obstacles,
float cellSize)
{
typename pcl::PointCloud<PointT>::Ptr groundCloud(new pcl::PointCloud<PointT>);
typename pcl::PointCloud<PointT>::Ptr obstaclesCloud(new pcl::PointCloud<PointT>);
if(groundIndices->size())
{
pcl::copyPointCloud(*cloud, *groundIndices, *groundCloud);
}
if(obstaclesIndices->size())
{
pcl::copyPointCloud(*cloud, *obstaclesIndices, *obstaclesCloud);
}
occupancy2DFromGroundObstacles<PointT>(
groundCloud,
obstaclesCloud,
ground,
obstacles,
cellSize);
}
template<typename PointT>
void occupancy2DFromGroundObstacles(
const typename pcl::PointCloud<PointT>::Ptr & groundCloud,
const typename pcl::PointCloud<PointT>::Ptr & obstaclesCloud,
cv::Mat & ground,
cv::Mat & obstacles,
float cellSize)
{
ground = cv::Mat();
if(groundCloud->size())
{
//project on XY plane
typename pcl::PointCloud<PointT>::Ptr groundCloudProjected;
groundCloudProjected = util3d::projectCloudOnXYPlane(*groundCloud);
//voxelize to grid cell size
groundCloudProjected = util3d::voxelize(groundCloudProjected, cellSize);
ground = cv::Mat((int)groundCloudProjected->size(), 1, CV_32FC2);
for(unsigned int i=0;i<groundCloudProjected->size(); ++i)
{
ground.at<cv::Vec2f>(i)[0] = groundCloudProjected->at(i).x;
ground.at<cv::Vec2f>(i)[1] = groundCloudProjected->at(i).y;
}
}
obstacles = cv::Mat();
if(obstaclesCloud->size())
{
//project on XY plane
typename pcl::PointCloud<PointT>::Ptr obstaclesCloudProjected;
obstaclesCloudProjected = util3d::projectCloudOnXYPlane(*obstaclesCloud);
//voxelize to grid cell size
obstaclesCloudProjected = util3d::voxelize(obstaclesCloudProjected, cellSize);
obstacles = cv::Mat((int)obstaclesCloudProjected->size(), 1, CV_32FC2);
for(unsigned int i=0;i<obstaclesCloudProjected->size(); ++i)
{
obstacles.at<cv::Vec2f>(i)[0] = obstaclesCloudProjected->at(i).x;
obstacles.at<cv::Vec2f>(i)[1] = obstaclesCloudProjected->at(i).y;
}
}
}
template<typename PointT>
@@ -164,48 +298,13 @@ void occupancy2DFromCloud3D(
segmentFlatObstacles,
maxGroundHeight);
pcl::PointCloud<pcl::PointXYZ>::Ptr groundCloud(new pcl::PointCloud<pcl::PointXYZ>);
pcl::PointCloud<pcl::PointXYZ>::Ptr obstaclesCloud(new pcl::PointCloud<pcl::PointXYZ>);
if(groundIndices->size())
{
pcl::copyPointCloud(*cloud, *groundIndices, *groundCloud);
//project on XY plane
util3d::projectCloudOnXYPlane(groundCloud);
//voxelize to grid cell size
groundCloud = util3d::voxelize(groundCloud, cellSize);
}
if(obstaclesIndices->size())
{
pcl::copyPointCloud(*cloud, *obstaclesIndices, *obstaclesCloud);
//project on XY plane
util3d::projectCloudOnXYPlane(obstaclesCloud);
//voxelize to grid cell size
obstaclesCloud = util3d::voxelize(obstaclesCloud, cellSize);
}
ground = cv::Mat();
if(groundCloud->size())
{
ground = cv::Mat((int)groundCloud->size(), 1, CV_32FC2);
for(unsigned int i=0;i<groundCloud->size(); ++i)
{
ground.at<cv::Vec2f>(i)[0] = groundCloud->at(i).x;
ground.at<cv::Vec2f>(i)[1] = groundCloud->at(i).y;
}
}
obstacles = cv::Mat();
if(obstaclesCloud->size())
{
obstacles = cv::Mat((int)obstaclesCloud->size(), 1, CV_32FC2);
for(unsigned int i=0;i<obstaclesCloud->size(); ++i)
{
obstacles.at<cv::Vec2f>(i)[0] = obstaclesCloud->at(i).x;
obstacles.at<cv::Vec2f>(i)[1] = obstaclesCloud->at(i).y;
}
}
occupancy2DFromGroundObstacles<PointT>(
cloud,
groundIndices,
obstaclesIndices,
ground,
obstacles,
cellSize);
}
template<typename PointT>

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -32,6 +32,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include <opencv2/core/core.hpp>
#include <rtabmap/core/Transform.h>
#include <rtabmap/core/Parameters.h>
namespace rtabmap
{
@@ -68,7 +69,7 @@ void RTABMAP_EXP calcOpticalFlowPyrLKStereo( cv::InputArray _prevImg, cv::InputA
cv::Mat RTABMAP_EXP disparityFromStereoImages(
const cv::Mat & leftImage,
const cv::Mat & rightImage,
int type = CV_32FC1); // CV_32FC1 or CV_16SC1
const ParametersMap & parameters = ParametersMap());
cv::Mat RTABMAP_EXP depthFromDisparity(const cv::Mat & disparity,
float fx, float baseline,

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -36,6 +36,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include <pcl/TextureMesh.h>
#include <rtabmap/core/Transform.h>
#include <rtabmap/core/SensorData.h>
#include <rtabmap/core/Parameters.h>
#include <opencv2/core/core.hpp>
#include <map>
#include <list>
@@ -73,16 +74,23 @@ pcl::PointXYZ RTABMAP_EXP projectDepthTo3D(
bool smoothing,
float maxZError = 0.02f);
pcl::PointCloud<pcl::PointXYZ>::Ptr RTABMAP_EXP cloudFromDepth(
RTABMAP_DEPRECATED (pcl::PointCloud<pcl::PointXYZ>::Ptr RTABMAP_EXP cloudFromDepth(
const cv::Mat & imageDepth,
float cx, float cy,
float fx, float fy,
int decimation = 1,
float maxDepth = 0.0f,
float minDepth = 0.0f,
std::vector<int> * validIndices = 0), "Use cloudFromDepth with CameraModel interface.");
pcl::PointCloud<pcl::PointXYZ>::Ptr RTABMAP_EXP cloudFromDepth(
const cv::Mat & imageDepth,
const CameraModel & model,
int decimation = 1,
float maxDepth = 0.0f,
float minDepth = 0.0f,
std::vector<int> * validIndices = 0);
pcl::PointCloud<pcl::PointXYZRGB>::Ptr RTABMAP_EXP cloudFromDepthRGB(
RTABMAP_DEPRECATED (pcl::PointCloud<pcl::PointXYZRGB>::Ptr RTABMAP_EXP cloudFromDepthRGB(
const cv::Mat & imageRgb,
const cv::Mat & imageDepth,
float cx, float cy,
@@ -90,6 +98,14 @@ pcl::PointCloud<pcl::PointXYZRGB>::Ptr RTABMAP_EXP cloudFromDepthRGB(
int decimation = 1,
float maxDepth = 0.0f,
float minDepth = 0.0f,
std::vector<int> * validIndices = 0), "Use cloudFromDepthRGB with CameraModel interface.");
pcl::PointCloud<pcl::PointXYZRGB>::Ptr RTABMAP_EXP cloudFromDepthRGB(
const cv::Mat & imageRgb,
const cv::Mat & imageDepth,
const CameraModel & model,
int decimation = 1,
float maxDepth = 0.0f,
float minDepth = 0.0f,
std::vector<int> * validIndices = 0);
pcl::PointCloud<pcl::PointXYZ>::Ptr RTABMAP_EXP cloudFromDisparity(
@@ -116,14 +132,16 @@ pcl::PointCloud<pcl::PointXYZRGB>::Ptr RTABMAP_EXP cloudFromStereoImages(
int decimation = 1,
float maxDepth = 0.0f,
float minDepth = 0.0f,
std::vector<int> * validIndices = 0);
std::vector<int> * validIndices = 0,
const ParametersMap & parameters = ParametersMap());
pcl::PointCloud<pcl::PointXYZ>::Ptr RTABMAP_EXP cloudFromSensorData(
const SensorData & sensorData,
int decimation = 1,
float maxDepth = 0.0f,
float minDepth = 0.0f,
std::vector<int> * validIndices = 0);
std::vector<int> * validIndices = 0,
const ParametersMap & parameters = ParametersMap());
/**
* Create an RGB cloud from the images contained in SensorData. If there is only one camera,
@@ -143,7 +161,8 @@ pcl::PointCloud<pcl::PointXYZRGB>::Ptr RTABMAP_EXP cloudRGBFromSensorData(
int decimation = 1,
float maxDepth = 0.0f,
float minDepth = 0.0f,
std::vector<int> * validIndices = 0);
std::vector<int> * validIndices = 0,
const ParametersMap & parameters = ParametersMap());
pcl::PointCloud<pcl::PointXYZ> RTABMAP_EXP laserScanFromDepthImage(
const cv::Mat & depthImage,

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -34,6 +34,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include <pcl/point_cloud.h>
#include <pcl/point_types.h>
#include <pcl/pcl_base.h>
#include <pcl/ModelCoefficients.h>
namespace rtabmap
{
@@ -108,6 +109,20 @@ pcl::PointCloud<pcl::PointXYZRGB>::Ptr RTABMAP_EXP randomSampling(
int samples);
pcl::IndicesPtr RTABMAP_EXP passThrough(
const pcl::PointCloud<pcl::PointXYZ>::Ptr & cloud,
const pcl::IndicesPtr & indices,
const std::string & axis,
float min,
float max,
bool negative = false);
pcl::IndicesPtr RTABMAP_EXP passThrough(
const pcl::PointCloud<pcl::PointXYZRGB>::Ptr & cloud,
const pcl::IndicesPtr & indices,
const std::string & axis,
float min,
float max,
bool negative = false);
pcl::PointCloud<pcl::PointXYZ>::Ptr RTABMAP_EXP passThrough(
const pcl::PointCloud<pcl::PointXYZ>::Ptr & cloud,
const std::string & axis,
@@ -471,6 +486,18 @@ pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr RTABMAP_EXP extractIndices(
bool negative,
bool keepOrganized);
pcl::IndicesPtr extractPlane(
const pcl::PointCloud<pcl::PointXYZ>::Ptr & cloud,
float distanceThreshold,
int maxIterations = 100,
pcl::ModelCoefficients * coefficientsOut = 0);
pcl::IndicesPtr extractPlane(
const pcl::PointCloud<pcl::PointXYZ>::Ptr & cloud,
const pcl::IndicesPtr & indices,
float distanceThreshold,
int maxIterations = 100,
pcl::ModelCoefficients * coefficientsOut = 0);
} // namespace util3d
} // namespace rtabmap

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -76,8 +76,9 @@ void RTABMAP_EXP rayTrace(const cv::Point2i & start,
cv::Mat RTABMAP_EXP convertMap2Image8U(const cv::Mat & map8S);
void RTABMAP_EXP projectCloudOnXYPlane(
pcl::PointCloud<pcl::PointXYZ>::Ptr & cloud);
template<typename PointT>
typename pcl::PointCloud<PointT>::Ptr projectCloudOnXYPlane(
const typename pcl::PointCloud<PointT> & cloud);
// templated methods
template<typename PointT>
@@ -91,7 +92,9 @@ void segmentObstaclesFromGround(
float clusterRadius,
int minClusterSize,
bool segmentFlatObstacles = false,
float maxGroundHeight = 0.0f);
float maxGroundHeight = 0.0f,
pcl::IndicesPtr * flatObstacles = 0,
const Eigen::Vector4f & viewPoint = Eigen::Vector4f(0,0,100,0));
template<typename PointT>
void segmentObstaclesFromGround(
const typename pcl::PointCloud<PointT>::Ptr & cloud,
@@ -102,7 +105,26 @@ void segmentObstaclesFromGround(
float clusterRadius,
int minClusterSize,
bool segmentFlatObstacles = false,
float maxGroundHeight = 0.0f);
float maxGroundHeight = 0.0f,
pcl::IndicesPtr * flatObstacles = 0,
const Eigen::Vector4f & viewPoint = Eigen::Vector4f(0,0,100,0));
template<typename PointT>
void occupancy2DFromGroundObstacles(
const typename pcl::PointCloud<PointT>::Ptr & cloud,
const pcl::IndicesPtr & groundIndices,
const pcl::IndicesPtr & obstaclesIndices,
cv::Mat & ground,
cv::Mat & obstacles,
float cellSize);
template<typename PointT>
void occupancy2DFromGroundObstacles(
const typename pcl::PointCloud<PointT>::Ptr & groundCloud,
const typename pcl::PointCloud<PointT>::Ptr & obstaclesCloud,
cv::Mat & ground,
cv::Mat & obstacles,
float cellSize);
template<typename PointT>
void occupancy2DFromCloud3D(

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -92,18 +92,6 @@ Transform RTABMAP_EXP icpPointToPlane(
float epsilon = 0.0f,
bool icp2D = false);
pcl::PointCloud<pcl::PointXYZ>::Ptr RTABMAP_EXP getICPReadyCloud(
const cv::Mat & depth,
float fx,
float fy,
float cx,
float cy,
int decimation,
double maxDepth,
float voxel,
int samples,
const Transform & transform = Transform::getIdentity());
} // namespace util3d
} // namespace rtabmap

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -121,32 +121,39 @@ pcl::TextureMesh::Ptr RTABMAP_EXP createTextureMesh(
const std::map<int, Transform> & poses,
const std::map<int, CameraModel> & cameraModels,
const std::map<int, cv::Mat> & images,
const std::string & tmpDirectory = ".");
const std::string & tmpDirectory = ".",
int kNormalSearch = 20); // if mesh doesn't have normals, compute them with k neighbors
pcl::PointCloud<pcl::PointNormal>::Ptr RTABMAP_EXP computeNormals(
pcl::PointCloud<pcl::Normal>::Ptr RTABMAP_EXP computeNormals(
const pcl::PointCloud<pcl::PointXYZ>::Ptr & cloud,
int normalKSearch = 20);
pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr RTABMAP_EXP computeNormals(
int normalKSearch = 20,
const Eigen::Vector3f & viewPoint = Eigen::Vector3f(0,0,0));
pcl::PointCloud<pcl::Normal>::Ptr RTABMAP_EXP computeNormals(
const pcl::PointCloud<pcl::PointXYZRGB>::Ptr & cloud,
int normalKSearch = 20);
pcl::PointCloud<pcl::PointNormal>::Ptr RTABMAP_EXP computeNormals(
int normalKSearch = 20,
const Eigen::Vector3f & viewPoint = Eigen::Vector3f(0,0,0));
pcl::PointCloud<pcl::Normal>::Ptr RTABMAP_EXP computeNormals(
const pcl::PointCloud<pcl::PointXYZ>::Ptr & cloud,
const pcl::IndicesPtr & indices,
int normalKSearch = 20);
pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr RTABMAP_EXP computeNormals(
int normalKSearch = 20,
const Eigen::Vector3f & viewPoint = Eigen::Vector3f(0,0,0));
pcl::PointCloud<pcl::Normal>::Ptr RTABMAP_EXP computeNormals(
const pcl::PointCloud<pcl::PointXYZRGB>::Ptr & cloud,
const pcl::IndicesPtr & indices,
int normalKSearch = 20);
int normalKSearch = 20,
const Eigen::Vector3f & viewPoint = Eigen::Vector3f(0,0,0));
pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr computeFastOrganizedNormals(
pcl::PointCloud<pcl::Normal>::Ptr computeFastOrganizedNormals(
const pcl::PointCloud<pcl::PointXYZRGB>::Ptr & cloud,
float maxDepthChangeFactor = 0.02f,
float normalSmoothingSize = 10.0f);
pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr computeFastOrganizedNormals(
float normalSmoothingSize = 10.0f,
const Eigen::Vector3f & viewPoint = Eigen::Vector3f(0,0,0));
pcl::PointCloud<pcl::Normal>::Ptr computeFastOrganizedNormals(
const pcl::PointCloud<pcl::PointXYZRGB>::Ptr & cloud,
const pcl::IndicesPtr & indices,
float maxDepthChangeFactor = 0.02f,
float normalSmoothingSize = 10.0f);
float normalSmoothingSize = 10.0f,
const Eigen::Vector3f & viewPoint = Eigen::Vector3f(0,0,0));
pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr RTABMAP_EXP mls(
const pcl::PointCloud<pcl::PointXYZRGB>::Ptr & cloud,

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -188,10 +188,17 @@ IF(G2O_FOUND)
ENDIF(G2O_FOUND)
IF(GTSAM_FOUND)
SET(INCLUDE_DIRS
${INCLUDE_DIRS}
${GTSAM_INCLUDE_DIRS}
)
IF(GTSAM_INCLUDE_DIR)
SET(INCLUDE_DIRS
${GTSAM_INCLUDE_DIR} # place it in front to use Eigen installed by GTSAM
${INCLUDE_DIRS}
)
ELSE()
SET(INCLUDE_DIRS
${GTSAM_INCLUDE_DIRS} # cmake standard
${INCLUDE_DIRS}
)
ENDIF()
SET(LIBRARIES
${LIBRARIES}
gtsam
@@ -209,6 +216,42 @@ IF(cvsba_FOUND)
)
ENDIF(cvsba_FOUND)
IF(ZED_FOUND)
SET(INCLUDE_DIRS
${INCLUDE_DIRS}
${ZED_INCLUDE_DIRS}
)
SET(LIBRARIES
${LIBRARIES}
${ZED_LIBRARIES}
)
IF(CUDA_FOUND)
SET(INCLUDE_DIRS
${INCLUDE_DIRS}
${CUDA_INCLUDE_DIRS}
)
SET(LIBRARIES
${LIBRARIES}
${CUDA_LIBRARIES}
)
ENDIF(CUDA_FOUND)
ENDIF(ZED_FOUND)
IF(OCTOMAP_FOUND)
SET(INCLUDE_DIRS
${INCLUDE_DIRS}
${OCTOMAP_INCLUDE_DIRS}
)
SET(LIBRARIES
${LIBRARIES}
${OCTOMAP_LIBRARIES}
)
SET(SRC_FILES
${SRC_FILES}
OctoMap.cpp
)
ENDIF(OCTOMAP_FOUND)
####################################
# Generate resources files
####################################

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -88,7 +88,7 @@ SensorData Camera::takeImage(CameraInfo * info)
}
UTimer timer;
SensorData data = this->captureImage();
SensorData data = this->captureImage(info);
double captureTime = timer.ticks();
if(warnFrameRateTooHigh)
{
@@ -102,6 +102,7 @@ SensorData Camera::takeImage(CameraInfo * info)
if(info)
{
info->id = data.id();
info->stamp = data.stamp();
info->timeCapture = captureTime;
}
return data;

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -371,6 +371,8 @@ CameraModel CameraModel::scaled(double scale) const
P.at<double>(1,1) *= scale;
P.at<double>(0,2) *= scale;
P.at<double>(1,2) *= scale;
P.at<double>(0,3) *= scale;
P.at<double>(1,3) *= scale;
}
scaledModel = CameraModel(name_, cv::Size(double(imageSize_.width)*scale, double(imageSize_.height)*scale), K, D_, R_, P, localTransform_);
}

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -42,6 +42,8 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include <rtabmap/core/util3d_filtering.h>
#include <rtabmap/core/util3d_surface.h>
#include <pcl/common/io.h>
#include <iostream>
#include <fstream>
#include <cmath>
@@ -436,7 +438,7 @@ std::vector<std::string> CameraImages::filenames() const
return std::vector<std::string>();
}
SensorData CameraImages::captureImage()
SensorData CameraImages::captureImage(CameraInfo * info)
{
if(syncImageRateWithStamps_ && _captureDelay>0.0)
{
@@ -661,7 +663,9 @@ SensorData CameraImages::captureImage()
}
if(_scanNormalsK > 0 && cloud->size())
{
pcl::PointCloud<pcl::PointNormal>::Ptr cloudNormals = util3d::computeNormals(cloud, _scanNormalsK);
pcl::PointCloud<pcl::Normal>::Ptr normals = util3d::computeNormals(cloud, _scanNormalsK);
pcl::PointCloud<pcl::PointNormal>::Ptr cloudNormals(new pcl::PointCloud<pcl::PointNormal>);
pcl::concatenateFields(*cloud, *normals, *cloudNormals);
scan = util3d::laserScanFromPointCloud(*cloudNormals);
}
else
@@ -692,10 +696,11 @@ SensorData CameraImages::captureImage()
/////////////////////////
CameraVideo::CameraVideo(
int usbDevice,
bool rectifyImages,
float imageRate,
const Transform & localTransform) :
Camera(imageRate, localTransform),
_rectifyImages(false),
_rectifyImages(rectifyImages),
_src(kUsbDevice),
_usbDevice(usbDevice)
{
@@ -722,7 +727,7 @@ CameraVideo::~CameraVideo()
bool CameraVideo::init(const std::string & calibrationFolder, const std::string & cameraName)
{
_guid.clear();
_guid = cameraName;
if(_capture.isOpened())
{
_capture.release();
@@ -750,19 +755,22 @@ bool CameraVideo::init(const std::string & calibrationFolder, const std::string
}
else
{
unsigned int guid = (unsigned int)_capture.get(CV_CAP_PROP_GUID);
if(guid != 0 && guid != 0xffffffff)
if (_guid.empty())
{
_guid = uFormat("%08x", guid);
unsigned int guid = (unsigned int)_capture.get(CV_CAP_PROP_GUID);
if (guid != 0 && guid != 0xffffffff)
{
_guid = uFormat("%08x", guid);
}
}
// look for calibration files
if(!calibrationFolder.empty() && (!_guid.empty() || !cameraName.empty()))
if(!calibrationFolder.empty() && !_guid.empty())
{
if(!_model.load(calibrationFolder, (cameraName.empty()?_guid:cameraName)))
if(!_model.load(calibrationFolder, _guid))
{
UWARN("Missing calibration files for camera \"%s\" in \"%s\" folder, you should calibrate the camera!",
cameraName.empty()?_guid.c_str():cameraName.c_str(), calibrationFolder.c_str());
_guid.c_str(), calibrationFolder.c_str());
}
else
{
@@ -793,7 +801,7 @@ std::string CameraVideo::getSerial() const
return _guid;
}
SensorData CameraVideo::captureImage()
SensorData CameraVideo::captureImage(CameraInfo * info)
{
cv::Mat img;
if(_capture.isOpened())
@@ -805,7 +813,7 @@ SensorData CameraVideo::captureImage()
_model.setImageSize(img.size());
}
if(_model.isValidForRectification() && (_src != kVideoFile || _rectifyImages))
if(_model.isValidForRectification() && _rectifyImages)
{
img = _model.rectifyImage(img);
}

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -203,7 +203,7 @@ std::string CameraOpenni::getSerial() const
return "";
}
SensorData CameraOpenni::captureImage()
SensorData CameraOpenni::captureImage(CameraInfo * info)
{
SensorData data;
#ifdef HAVE_OPENNI
@@ -317,7 +317,7 @@ bool CameraOpenNICV::isCalibrated() const
return true;
}
SensorData CameraOpenNICV::captureImage()
SensorData CameraOpenNICV::captureImage(CameraInfo * info)
{
SensorData data;
if(_capture.isOpened())
@@ -671,7 +671,7 @@ std::string CameraOpenNI2::getSerial() const
return "";
}
SensorData CameraOpenNI2::captureImage()
SensorData CameraOpenNI2::captureImage(CameraInfo * info)
{
SensorData data;
#ifdef RTABMAP_OPENNI2
@@ -1033,7 +1033,7 @@ std::string CameraFreenect::getSerial() const
return "";
}
SensorData CameraFreenect::captureImage()
SensorData CameraFreenect::captureImage(CameraInfo * info)
{
SensorData data;
#ifdef RTABMAP_FREENECT
@@ -1272,9 +1272,10 @@ bool CameraFreenect2::init(const std::string & calibrationFolder, const std::str
const CameraModel & l = stereoModel_.left();
const CameraModel & r = stereoModel_.right();
stereoModel_ = StereoCameraModel(stereoModel_.name(),
depthSize, l.K(), l.D(), l.R(), depthP,
colorSize, r.K(), r.D(), r.R(), colorP,
depthSize, l.K_raw(), l.D_raw(), l.R(), depthP,
colorSize, r.K_raw(), r.D_raw(), r.R(), colorP,
stereoModel_.R(), stereoModel_.T(), stereoModel_.E(), stereoModel_.F());
stereoModel_.initRectificationMap();
}
}
@@ -1307,7 +1308,7 @@ std::string CameraFreenect2::getSerial() const
return "";
}
SensorData CameraFreenect2::captureImage()
SensorData CameraFreenect2::captureImage(CameraInfo * info)
{
SensorData data;
#ifdef RTABMAP_FREENECT2
@@ -1720,12 +1721,12 @@ std::string CameraRGBDImages::getSerial() const
return this->cameraModel().name();
}
SensorData CameraRGBDImages::captureImage()
SensorData CameraRGBDImages::captureImage(CameraInfo * info)
{
SensorData data;
SensorData rgb, depth;
rgb = CameraImages::captureImage();
rgb = CameraImages::captureImage(info);
if(!rgb.imageRaw().empty())
{
depth = cameraDepth_.takeImage();

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -48,6 +48,10 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include <fc2triclops.h>
#endif
#ifdef RTABMAP_ZED
#include <zed/Camera.hpp>
#endif
namespace rtabmap
{
@@ -411,7 +415,7 @@ std::string CameraStereoDC1394::getSerial() const
return "";
}
SensorData CameraStereoDC1394::captureImage()
SensorData CameraStereoDC1394::captureImage(CameraInfo * info)
{
SensorData data;
#ifdef RTABMAP_DC1394
@@ -606,7 +610,7 @@ struct ImageContainer
} ;
#endif
SensorData CameraStereoFlyCapture2::captureImage()
SensorData CameraStereoFlyCapture2::captureImage(CameraInfo * info)
{
SensorData data;
#ifdef RTABMAP_FLYCAPTURE2
@@ -731,6 +735,266 @@ SensorData CameraStereoFlyCapture2::captureImage()
return data;
}
//
// CameraStereoZED
//
bool CameraStereoZed::available()
{
#ifdef RTABMAP_ZED
return true;
#else
return false;
#endif
}
CameraStereoZed::CameraStereoZed(
int deviceId,
int resolution,
int quality,
int sensingMode,
int confidenceThr,
bool computeOdometry,
float imageRate,
const Transform & localTransform) :
Camera(imageRate, localTransform),
zed_(0),
src_(CameraVideo::kUsbDevice),
usbDevice_(deviceId),
svoFilePath_(""),
resolution_(resolution),
quality_(quality),
sensingMode_(sensingMode),
confidenceThr_(confidenceThr),
computeOdometry_(computeOdometry),
lost_(true)
{
#ifdef RTABMAP_ZED
UASSERT(resolution_ >= sl::zed::HD2K && resolution_ <sl::zed::LAST_RESOLUTION);
UASSERT(quality_ >= sl::zed::NONE && quality_ <sl::zed::LAST_MODE);
UASSERT(sensingMode_ >= sl::zed::FILL && sensingMode_ <sl::zed::LAST_SENSING_MODE);
UASSERT(confidenceThr_ >= 0 && confidenceThr_ <=100);
#endif
}
CameraStereoZed::CameraStereoZed(
const std::string & filePath,
int quality,
int sensingMode,
int confidenceThr,
bool computeOdometry,
float imageRate,
const Transform & localTransform) :
Camera(imageRate, localTransform),
zed_(0),
src_(CameraVideo::kVideoFile),
usbDevice_(0),
svoFilePath_(filePath),
resolution_(2),
quality_(quality),
sensingMode_(sensingMode),
confidenceThr_(confidenceThr),
computeOdometry_(computeOdometry),
lost_(true)
{
#ifdef RTABMAP_ZED
UASSERT(resolution_ >= sl::zed::HD2K && resolution_ <sl::zed::LAST_RESOLUTION);
UASSERT(quality_ >= sl::zed::NONE && quality_ <sl::zed::LAST_MODE);
UASSERT(sensingMode_ >= sl::zed::FILL && sensingMode_ <sl::zed::LAST_SENSING_MODE);
UASSERT(confidenceThr_ >= 0 && confidenceThr_ <=100);
#endif
}
CameraStereoZed::~CameraStereoZed()
{
#ifdef RTABMAP_ZED
if(zed_)
{
delete zed_;
}
#endif
}
bool CameraStereoZed::init(const std::string & calibrationFolder, const std::string & cameraName)
{
#ifdef RTABMAP_ZED
if(zed_)
{
delete zed_;
zed_ = 0;
}
lost_ = true;
if(src_ == CameraVideo::kVideoFile)
{
zed_ = new sl::zed::Camera(svoFilePath_); // Use in SVO playback mode
}
else
{
if(zed_->isZEDconnected())
{
zed_ = new sl::zed::Camera((sl::zed::ZEDResolution_mode)resolution_, getImageRate(), usbDevice_); // Use in Live Mode
}
else
{
UERROR("ZED camera initialization failed: ZED is not connected!");
return false;
}
}
//init WITH self-calibration
sl::zed::InitParams parameters(
(sl::zed::MODE)quality_, //MODE
sl::zed::METER, //UNIT
sl::zed::IMAGE, //COORDINATE_SYSTEM
false, // verbose
-1, //device
-1., //minDist
false, //disableSelfCalib
false); //vflip
sl::zed::ERRCODE err = zed_->init(parameters);
// Quit if an error occurred
if (err != sl::zed::SUCCESS)
{
UERROR("ZED camera initialization failed: %s", sl::zed::errcode2str(err).c_str());
delete zed_;
zed_ = 0;
return false;
}
zed_->setConfidenceThreshold(confidenceThr_);
if (computeOdometry_)
{
Eigen::Matrix4f initPose;
initPose.setIdentity(4, 4);
zed_->enableTracking(initPose, false);
}
sl::zed::StereoParameters * stereoParams = zed_->getParameters();
sl::zed::resolution res = zed_->getImageSize();
stereoModel_ = StereoCameraModel(
stereoParams->LeftCam.fx,
stereoParams->LeftCam.fy,
stereoParams->LeftCam.cx,
stereoParams->LeftCam.cy,
stereoParams->baseline,
this->getLocalTransform(),
cv::Size(res.width, res.height));
return true;
#else
UERROR("CameraStereoZED: RTAB-Map is not built with ZED sdk support!");
#endif
return false;
}
bool CameraStereoZed::isCalibrated() const
{
return stereoModel_.isValidForProjection();
}
std::string CameraStereoZed::getSerial() const
{
#ifdef RTABMAP_ZED
if(zed_)
{
return uFormat("%x", zed_->getZEDSerial());
}
#endif
return "";
}
SensorData CameraStereoZed::captureImage(CameraInfo * info)
{
SensorData data;
#ifdef RTABMAP_ZED
if(zed_)
{
UTimer timer;
bool res = zed_->grab((sl::zed::SENSING_MODE)sensingMode_, quality_ > 0, quality_ > 0, false);
while (src_ == CameraVideo::kUsbDevice && res && timer.elapsed() < 2.0)
{
// maybe there is a latency with the USB, try again in 10 ms (for the next 2 seconds)
uSleep(10);
res = zed_->grab((sl::zed::SENSING_MODE)sensingMode_, quality_ > 0, quality_ > 0, false);
}
if(!res)
{
// get left image
cv::Mat rgbaLeft = slMat2cvMat(zed_->retrieveImage(static_cast<sl::zed::SIDE> (sl::zed::STEREO_LEFT)));
cv::Mat left;
cv::cvtColor(rgbaLeft, left, cv::COLOR_BGRA2BGR);
if(quality_ > 0)
{
// get depth image
cv::Mat depth;
slMat2cvMat(zed_->retrieveMeasure(sl::zed::MEASURE::DEPTH)).copyTo(depth);
data = SensorData(left, depth, stereoModel_.left(), this->getNextSeqID(), UTimer::now());
}
else
{
// get right image
cv::Mat rgbaRight = slMat2cvMat(zed_->retrieveImage(static_cast<sl::zed::SIDE> (sl::zed::STEREO_RIGHT)));
cv::Mat right;
cv::cvtColor(rgbaRight, right, cv::COLOR_BGRA2GRAY);
data = SensorData(left, right, stereoModel_, this->getNextSeqID(), UTimer::now());
}
if (computeOdometry_ && info)
{
Eigen::Matrix4f path;
int trackingConfidence = zed_->getTrackingConfidence();
if (trackingConfidence)
{
zed_->getPosition(path);
info->odomPose = Transform::fromEigen4f(path);
if (!info->odomPose.isNull())
{
//transform x->forward, y->left, z->up
Transform opticalTransform(0, 0, 1, 0, -1, 0, 0, 0, 0, -1, 0, 0);
info->odomPose = opticalTransform * info->odomPose * opticalTransform.inverse();
}
if (lost_)
{
info->odomCovariance = cv::Mat::eye(6, 6, CV_64FC1) * 9999.0f; // don't know transform with previous pose
lost_ = false;
UDEBUG("Init %s (var=%f)", info->odomPose.prettyPrint().c_str(), 9999.0f);
}
else
{
info->odomCovariance = cv::Mat::eye(6, 6, CV_64FC1) * 1.0f / float(trackingConfidence);
UDEBUG("Run %s (var=%f)", info->odomPose.prettyPrint().c_str(), 1.0f / float(trackingConfidence));
}
}
else
{
info->odomCovariance = cv::Mat::eye(6, 6, CV_64FC1) * 9999.0f; // lost
lost_ = true;
UWARN("ZED lost!");
}
}
}
else if(src_ == CameraVideo::kUsbDevice)
{
UERROR("CameraStereoZed: Failed to grab images after 2 seconds!");
}
else
{
UWARN("CameraStereoZed: end of stream is reached!");
}
}
#else
UERROR("CameraStereoZED: RTAB-Map is not built with ZED sdk support!");
#endif
return data;
}
//
// CameraStereoImages
//
@@ -860,21 +1124,21 @@ std::string CameraStereoImages::getSerial() const
return stereoModel_.name();
}
SensorData CameraStereoImages::captureImage()
SensorData CameraStereoImages::captureImage(CameraInfo * info)
{
SensorData data;
SensorData left, right;
left = CameraImages::captureImage();
left = CameraImages::captureImage(info);
if(!left.imageRaw().empty())
{
if(camera2_)
{
right = camera2_->takeImage();
right = camera2_->takeImage(info);
}
else
{
right = this->takeImage();
right = this->takeImage(info);
}
if(!right.imageRaw().empty())
@@ -921,7 +1185,22 @@ CameraStereoVideo::CameraStereoVideo(
const Transform & localTransform) :
Camera(imageRate, localTransform),
path_(path),
rectifyImages_(rectifyImages)
rectifyImages_(rectifyImages),
src_(CameraVideo::kVideoFile),
usbDevice_(0)
{
}
CameraStereoVideo::CameraStereoVideo(
int device,
bool rectifyImages,
float imageRate,
const Transform & localTransform) :
Camera(imageRate, localTransform),
path_(""),
rectifyImages_(rectifyImages),
src_(CameraVideo::kUsbDevice),
usbDevice_(device)
{
}
@@ -932,29 +1211,51 @@ CameraStereoVideo::~CameraStereoVideo()
bool CameraStereoVideo::init(const std::string & calibrationFolder, const std::string & cameraName)
{
cameraName_ = cameraName;
if(capture_.isOpened())
{
capture_.release();
}
ULOGGER_DEBUG("Camera: filename=\"%s\"", path_.c_str());
capture_.open(path_.c_str());
if (src_ == CameraVideo::kUsbDevice)
{
ULOGGER_DEBUG("CameraStereoVideo: Usb device initialization on device %d", usbDevice_);
capture_.open(usbDevice_);
}
else if (src_ == CameraVideo::kVideoFile)
{
ULOGGER_DEBUG("CameraStereoVideo: filename=\"%s\"", path_.c_str());
capture_.open(path_.c_str());
}
else
{
ULOGGER_ERROR("CameraStereoVideo: Unknown source...");
}
if(!capture_.isOpened())
{
ULOGGER_ERROR("Camera: Failed to create a capture object!");
ULOGGER_ERROR("CameraStereoVideo: Failed to create a capture object!");
capture_.release();
return false;
}
else
{
// look for calibration files
cameraName_ = cameraName;
if(!calibrationFolder.empty() && !cameraName.empty())
if (cameraName_.empty())
{
if(!stereoModel_.load(calibrationFolder, cameraName))
unsigned int guid = (unsigned int)capture_.get(CV_CAP_PROP_GUID);
if (guid != 0 && guid != 0xffffffff)
{
cameraName_ = uFormat("%08x", guid);
}
}
// look for calibration files
if(!calibrationFolder.empty() && !cameraName_.empty())
{
if(!stereoModel_.load(calibrationFolder, cameraName_))
{
UWARN("Missing calibration files for camera \"%s\" in \"%s\" folder, you should calibrate the camera!",
cameraName.c_str(), calibrationFolder.c_str());
cameraName_.c_str(), calibrationFolder.c_str());
}
else
{
@@ -986,7 +1287,7 @@ std::string CameraStereoVideo::getSerial() const
return cameraName_;
}
SensorData CameraStereoVideo::captureImage()
SensorData CameraStereoVideo::captureImage(CameraInfo * info)
{
SensorData data;

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -177,27 +177,50 @@ void CameraThread::mainLoop()
pcl::IndicesPtr validIndices(new std::vector<int>);
pcl::PointCloud<pcl::PointXYZ>::Ptr cloud = util3d::cloudFromSensorData(data, _scanDecimation, _scanMaxDepth, _scanMinDepth, validIndices.get());
float maxPoints = (data.depthRaw().rows/_scanDecimation)*(data.depthRaw().cols/_scanDecimation);
if(_scanVoxelSize>0.0f)
{
cloud = util3d::voxelize(cloud, validIndices, _scanVoxelSize);
float ratio = float(cloud->size()) / float(validIndices->size());
maxPoints = ratio * maxPoints;
}
else if(!cloud->is_dense)
{
pcl::PointCloud<pcl::PointXYZ>::Ptr denseCloud(new pcl::PointCloud<pcl::PointXYZ>);
pcl::copyPointCloud(*cloud, *validIndices, *denseCloud);
cloud = denseCloud;
}
cv::Mat scan;
if(_scanNormalsK>0)
if(validIndices->size())
{
scan = util3d::laserScanFromPointCloud(*util3d::computeNormals(cloud, _scanNormalsK));
}
else
{
scan = util3d::laserScanFromPointCloud(*cloud);
if(_scanVoxelSize>0.0f)
{
cloud = util3d::voxelize(cloud, validIndices, _scanVoxelSize);
float ratio = float(cloud->size()) / float(validIndices->size());
maxPoints = ratio * maxPoints;
}
else if(!cloud->is_dense)
{
pcl::PointCloud<pcl::PointXYZ>::Ptr denseCloud(new pcl::PointCloud<pcl::PointXYZ>);
pcl::copyPointCloud(*cloud, *validIndices, *denseCloud);
cloud = denseCloud;
}
if(cloud->size())
{
if(_scanNormalsK>0)
{
// view point
Eigen::Vector3f viewPoint(0.0f,0.0f,0.0f);
if(data.cameraModels().size() && !data.cameraModels()[0].localTransform().isNull())
{
viewPoint[0] = data.cameraModels()[0].localTransform().x();
viewPoint[1] = data.cameraModels()[0].localTransform().y();
viewPoint[2] = data.cameraModels()[0].localTransform().z();
}
else if(!data.stereoCameraModel().localTransform().isNull())
{
viewPoint[0] = data.stereoCameraModel().localTransform().x();
viewPoint[1] = data.stereoCameraModel().localTransform().y();
viewPoint[2] = data.stereoCameraModel().localTransform().z();
}
pcl::PointCloud<pcl::Normal>::Ptr normals = util3d::computeNormals(cloud, _scanNormalsK, viewPoint);
pcl::PointCloud<pcl::PointNormal>::Ptr cloudNormals(new pcl::PointCloud<pcl::PointNormal>);
pcl::concatenateFields(*cloud, *normals, *cloudNormals);
scan = util3d::laserScanFromPointCloud(*cloudNormals);
}
else
{
scan = util3d::laserScanFromPointCloud(*cloud);
}
}
}
data.setLaserScanRaw(scan, (int)maxPoints, _scanMaxDepth);
info.timeScanFromDepth = timer.ticks();

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -188,6 +188,14 @@ int DBDriver::getTotalDictionarySize() const
_dbSafeAccessMutex.unlock();
return words;
}
ParametersMap DBDriver::getLastParameters() const
{
ParametersMap parameters;
_dbSafeAccessMutex.lock();
parameters = getLastParametersQuery();
_dbSafeAccessMutex.unlock();
return parameters;
}
std::string DBDriver::getDatabaseVersion() const
{
@@ -834,18 +842,38 @@ void DBDriver::getAllLabels(std::map<int, std::string> & labels) const
_dbSafeAccessMutex.unlock();
}
void DBDriver::addStatisticsAfterRun(int stMemSize, int lastSignAdded, int processMemUsed, int databaseMemUsed, int dictionarySize) const
void DBDriver::addStatisticsAfterRun(
int stMemSize,
int lastSignAdded,
int processMemUsed,
int databaseMemUsed,
int dictionarySize,
const ParametersMap & parameters) const
{
ULOGGER_DEBUG("");
if(this->isConnected())
{
std::stringstream query;
query << "INSERT INTO Statistics(STM_size,last_sign_added,process_mem_used,database_mem_used,dictionary_size) values("
<< stMemSize << ","
<< lastSignAdded << ","
<< processMemUsed << ","
<< databaseMemUsed << ","
<< dictionarySize << ");";
if(uStrNumCmp(this->getDatabaseVersion(), "0.11.8") >= 0)
{
std::string param = Parameters::serialize(parameters);
query << "INSERT INTO Statistics(STM_size,last_sign_added,process_mem_used,database_mem_used,dictionary_size,parameters) values("
<< stMemSize << ","
<< lastSignAdded << ","
<< processMemUsed << ","
<< databaseMemUsed << ","
<< dictionarySize << ","
"\"" << param.c_str() << "\");";
}
else
{
query << "INSERT INTO Statistics(STM_size,last_sign_added,process_mem_used,database_mem_used,dictionary_size) values("
<< stMemSize << ","
<< lastSignAdded << ","
<< processMemUsed << ","
<< databaseMemUsed << ","
<< dictionarySize << ");";
}
this->executeNoResultQuery(query.str());
}

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -373,6 +373,15 @@ bool DBDriverSqlite3::connectDatabaseQuery(const std::string & url, bool overwri
UASSERT(this->getDatabaseVersionQuery(_version)); // must be true!
UINFO("Database version = %s", _version.c_str());
if(uStrNumCmp(_version, RTABMAP_VERSION) > 0)
{
UERROR("Opened database version (%s) is more recent than rtabmap "
"installed version (%s). Please update rtabmap to new version!",
_version.c_str(), RTABMAP_VERSION);
this->disconnectDatabaseQuery(false);
return false;
}
//Set database optimizations
this->setCacheSize(_cacheSize); // this will call the SQL
this->setJournalMode(_journalMode); // this will call the SQL
@@ -699,6 +708,42 @@ int DBDriverSqlite3::getTotalDictionarySizeQuery() const
return size;
}
ParametersMap DBDriverSqlite3::getLastParametersQuery() const
{
UDEBUG("");
ParametersMap parameters;
if(_ppDb)
{
if(uStrNumCmp(_version, "0.11.8") >= 0)
{
std::string query = "SELECT parameters "
"FROM Statistics "
"WHERE time_enter >= (SELECT MAX(time_enter) FROM Statistics);";
int rc = SQLITE_OK;
sqlite3_stmt * ppStmt = 0;
rc = sqlite3_prepare_v2(_ppDb, query.c_str(), -1, &ppStmt, 0);
UASSERT_MSG(rc == SQLITE_OK, uFormat("DB error (%s): %s", _version.c_str(), sqlite3_errmsg(_ppDb)).c_str());
rc = sqlite3_step(ppStmt);
if(rc == SQLITE_ROW)
{
std::string text((const char *)sqlite3_column_text(ppStmt, 0));
if(text.size())
{
parameters = Parameters::deserialize(text);
}
rc = sqlite3_step(ppStmt);
}
UASSERT_MSG(rc == SQLITE_DONE, uFormat("DB error (%s): %s", _version.c_str(), sqlite3_errmsg(_ppDb)).c_str());
rc = sqlite3_finalize(ppStmt);
UASSERT_MSG(rc == SQLITE_OK, uFormat("DB error (%s): %s", _version.c_str(), sqlite3_errmsg(_ppDb)).c_str());
}
}
return parameters;
}
void DBDriverSqlite3::loadNodeDataQuery(std::list<Signature *> & signatures) const
{
UDEBUG("load data for %d signatures", (int)signatures.size());
@@ -846,13 +891,39 @@ void DBDriverSqlite3::loadNodeDataQuery(std::list<Signature *> & signatures) con
if(dataSize > 0 && data)
{
float * dataFloat = (float*)data;
if((unsigned int)dataSize % (4+localTransform.size())*sizeof(float) == 0)
if(uStrNumCmp(_version, "0.11.2") >= 0 &&
(unsigned int)dataSize % (6+localTransform.size())*sizeof(float) == 0)
{
int cameraCount = dataSize / ((6+localTransform.size())*sizeof(float));
UDEBUG("Loading calibration for %d cameras (%d bytes)", cameraCount, dataSize);
int max = cameraCount*(6+localTransform.size());
for(int i=0; i<max; i+=6+localTransform.size())
{
// Reinitialize to a new Transform, to avoid copying in the same memory than the previous one
localTransform = Transform::getIdentity();
memcpy(localTransform.data(), dataFloat+i+6, localTransform.size()*sizeof(float));
models.push_back(CameraModel(
(double)dataFloat[i],
(double)dataFloat[i+1],
(double)dataFloat[i+2],
(double)dataFloat[i+3],
localTransform));
models.back().setImageSize(cv::Size(dataFloat[i+4], dataFloat[i+5]));
UDEBUG("%f %f %f %f %f %f %s", dataFloat[i], dataFloat[i+1], dataFloat[i+2],
dataFloat[i+3], dataFloat[i+4], dataFloat[i+5],
localTransform.prettyPrint().c_str());
}
}
else if(uStrNumCmp(_version, "0.11.2") < 0 &&
(unsigned int)dataSize % (4+localTransform.size())*sizeof(float) == 0)
{
int cameraCount = dataSize / ((4+localTransform.size())*sizeof(float));
UDEBUG("Loading calibration for %d cameras (%d bytes)", cameraCount, dataSize);
int max = cameraCount*(4+localTransform.size());
for(int i=0; i<max; i+=4+localTransform.size())
{
// Reinitialize to a new Transform, to avoid copying in the same memory than the previous one
localTransform = Transform::getIdentity();
memcpy(localTransform.data(), dataFloat+i+4, localTransform.size()*sizeof(float));
models.push_back(CameraModel(
(double)dataFloat[i],
@@ -874,26 +945,6 @@ void DBDriverSqlite3::loadNodeDataQuery(std::list<Signature *> & signatures) con
dataFloat[4], // baseline
localTransform);
}
else if((unsigned int)dataSize % (6+localTransform.size())*sizeof(float) == 0)
{
int cameraCount = dataSize / ((6+localTransform.size())*sizeof(float));
UDEBUG("Loading calibration for %d cameras (%d bytes)", cameraCount, dataSize);
int max = cameraCount*(6+localTransform.size());
for(int i=0; i<max; i+=6+localTransform.size())
{
memcpy(localTransform.data(), dataFloat+i+6, localTransform.size()*sizeof(float));
models.push_back(CameraModel(
(double)dataFloat[i],
(double)dataFloat[i+1],
(double)dataFloat[i+2],
(double)dataFloat[i+3],
localTransform));
models.back().setImageSize(cv::Size(dataFloat[i+4], dataFloat[i+5]));
UDEBUG("%f %f %f %f %f %f %s", dataFloat[i], dataFloat[i+1], dataFloat[i+2],
dataFloat[i+3], dataFloat[i+4], dataFloat[i+5],
localTransform.prettyPrint().c_str());
}
}
else
{
UFATAL("Wrong format of the Data.calibration field (size=%d bytes)", dataSize);
@@ -1067,13 +1118,39 @@ bool DBDriverSqlite3::getCalibrationQuery(
if(dataSize > 0 && data)
{
float * dataFloat = (float*)data;
if((unsigned int)dataSize % (4+localTransform.size())*sizeof(float) == 0)
if(uStrNumCmp(_version, "0.11.2") >= 0 &&
(unsigned int)dataSize % (6+localTransform.size())*sizeof(float) == 0)
{
int cameraCount = dataSize / ((6+localTransform.size())*sizeof(float));
UDEBUG("Loading calibration for %d cameras (%d bytes)", cameraCount, dataSize);
int max = cameraCount*(6+localTransform.size());
for(int i=0; i<max; i+=6+localTransform.size())
{
// Reinitialize to a new Transform, to avoid copying in the same memory than the previous one
localTransform = Transform::getIdentity();
memcpy(localTransform.data(), dataFloat+i+6, localTransform.size()*sizeof(float));
models.push_back(CameraModel(
(double)dataFloat[i],
(double)dataFloat[i+1],
(double)dataFloat[i+2],
(double)dataFloat[i+3],
localTransform));
models.back().setImageSize(cv::Size(dataFloat[i+4], dataFloat[i+5]));
UDEBUG("%f %f %f %f %f %f %s", dataFloat[i], dataFloat[i+1], dataFloat[i+2],
dataFloat[i+3], dataFloat[i+4], dataFloat[i+5],
localTransform.prettyPrint().c_str());
}
}
else if(uStrNumCmp(_version, "0.11.2") < 0 &&
(unsigned int)dataSize % (4+localTransform.size())*sizeof(float) == 0)
{
int cameraCount = dataSize / ((4+localTransform.size())*sizeof(float));
UDEBUG("Loading calibration for %d cameras (%d bytes)", cameraCount, dataSize);
int max = cameraCount*(4+localTransform.size());
for(int i=0; i<max; i+=4+localTransform.size())
{
// Reinitialize to a new Transform, to avoid copying in the same memory than the previous one
localTransform = Transform::getIdentity();
memcpy(localTransform.data(), dataFloat+i+4, localTransform.size()*sizeof(float));
models.push_back(CameraModel(
(double)dataFloat[i],
@@ -1095,26 +1172,6 @@ bool DBDriverSqlite3::getCalibrationQuery(
dataFloat[4], // baseline
localTransform);
}
else if((unsigned int)dataSize % (6+localTransform.size())*sizeof(float) == 0)
{
int cameraCount = dataSize / ((6+localTransform.size())*sizeof(float));
UDEBUG("Loading calibration for %d cameras (%d bytes)", cameraCount, dataSize);
int max = cameraCount*(6+localTransform.size());
for(int i=0; i<max; i+=6+localTransform.size())
{
memcpy(localTransform.data(), dataFloat+i+6, localTransform.size()*sizeof(float));
models.push_back(CameraModel(
(double)dataFloat[i],
(double)dataFloat[i+1],
(double)dataFloat[i+2],
(double)dataFloat[i+3],
localTransform));
models.back().setImageSize(cv::Size(dataFloat[i+4], dataFloat[i+5]));
UDEBUG("%f %f %f %f %f %f %s", dataFloat[i], dataFloat[i+1], dataFloat[i+2],
dataFloat[i+3], dataFloat[i+4], dataFloat[i+5],
localTransform.prettyPrint().c_str());
}
}
else
{
UFATAL("Wrong format of the Data.calibration field (size=%d bytes)", dataSize);
@@ -1861,7 +1918,7 @@ void DBDriverSqlite3::loadSignaturesQuery(const std::list<int> & ids, std::list<
int index=0;
const void * data = 0;
int dataSize = 0;
Transform localTransform = Transform::getIdentity();
Transform localTransform;
std::vector<CameraModel> models;
StereoCameraModel stereoModel;
@@ -1874,13 +1931,39 @@ void DBDriverSqlite3::loadSignaturesQuery(const std::list<int> & ids, std::list<
{
++calibrationsLoaded;
float * dataFloat = (float*)data;
if((unsigned int)dataSize % (4+localTransform.size())*sizeof(float) == 0)
if(uStrNumCmp(_version, "0.11.2") >= 0 &&
(unsigned int)dataSize % (6+localTransform.size())*sizeof(float) == 0)
{
int cameraCount = dataSize / ((6+localTransform.size())*sizeof(float));
UDEBUG("Loading calibration for %d cameras (%d bytes)", cameraCount, dataSize);
int max = cameraCount*(6+localTransform.size());
for(int i=0; i<max; i+=6+localTransform.size())
{
// Reinitialize to a new Transform, to avoid copying in the same memory than the previous one
localTransform = Transform::getIdentity();
memcpy(localTransform.data(), dataFloat+i+6, localTransform.size()*sizeof(float));
models.push_back(CameraModel(
(double)dataFloat[i],
(double)dataFloat[i+1],
(double)dataFloat[i+2],
(double)dataFloat[i+3],
localTransform));
models.back().setImageSize(cv::Size(dataFloat[i+4], dataFloat[i+5]));
UDEBUG("%f %f %f %f %f %f %s", dataFloat[i], dataFloat[i+1], dataFloat[i+2],
dataFloat[i+3], dataFloat[i+4], dataFloat[i+5],
localTransform.prettyPrint().c_str());
}
}
else if(uStrNumCmp(_version, "0.11.2") < 0 &&
(unsigned int)dataSize % (4+localTransform.size())*sizeof(float) == 0)
{
int cameraCount = dataSize / ((4+localTransform.size())*sizeof(float));
UDEBUG("Loading calibration for %d cameras (%d bytes)", cameraCount, dataSize);
int max = cameraCount*(4+localTransform.size());
for(int i=0; i<max; i+=4+localTransform.size())
{
// Reinitialize to a new Transform, to avoid copying in the same memory than the previous one
localTransform = Transform::getIdentity();
memcpy(localTransform.data(), dataFloat+i+4, localTransform.size()*sizeof(float));
models.push_back(CameraModel(
(double)dataFloat[i],
@@ -1902,26 +1985,6 @@ void DBDriverSqlite3::loadSignaturesQuery(const std::list<int> & ids, std::list<
dataFloat[4], // baseline
localTransform);
}
else if((unsigned int)dataSize % (6+localTransform.size())*sizeof(float) == 0)
{
int cameraCount = dataSize / ((6+localTransform.size())*sizeof(float));
UDEBUG("Loading calibration for %d cameras (%d bytes)", cameraCount, dataSize);
int max = cameraCount*(6+localTransform.size());
for(int i=0; i<max; i+=6+localTransform.size())
{
memcpy(localTransform.data(), dataFloat+i+6, localTransform.size()*sizeof(float));
models.push_back(CameraModel(
(double)dataFloat[i],
(double)dataFloat[i+1],
(double)dataFloat[i+2],
(double)dataFloat[i+3],
localTransform));
models.back().setImageSize(cv::Size(dataFloat[i+4], dataFloat[i+5]));
UDEBUG("%f %f %f %f %f %f %s", dataFloat[i], dataFloat[i+1], dataFloat[i+2],
dataFloat[i+3], dataFloat[i+4], dataFloat[i+5],
localTransform.prettyPrint().c_str());
}
}
else
{
UFATAL("Wrong format of the Data.calibration field (size=%d bytes)", dataSize);
@@ -3180,19 +3243,37 @@ void DBDriverSqlite3::stepSensorData(sqlite3_stmt * ppStmt,
std::vector<float> calibration;
// multi-cameras [fx,fy,cx,cy,width,height,local_transform, ... ,fx,fy,cx,cy,width,height,local_transform] (6+12)*float * numCameras
// stereo [fx, fy, cx, cy, baseline, local_transform] (5+12)*float
if(sensorData.cameraModels().size())
{
calibration.resize(sensorData.cameraModels().size() * (6+Transform().size()));
for(unsigned int i=0; i<sensorData.cameraModels().size(); ++i)
if(sensorData.cameraModels().size() && sensorData.cameraModels()[0].isValidForProjection())
{
if(uStrNumCmp(_version, "0.11.2") >= 0)
{
const Transform & localTransform = sensorData.cameraModels()[i].localTransform();
calibration[i*(6+localTransform.size())] = sensorData.cameraModels()[i].fx();
calibration[i*(6+localTransform.size())+1] = sensorData.cameraModels()[i].fy();
calibration[i*(6+localTransform.size())+2] = sensorData.cameraModels()[i].cx();
calibration[i*(6+localTransform.size())+3] = sensorData.cameraModels()[i].cy();
calibration[i*(6+localTransform.size())+4] = sensorData.cameraModels()[i].imageWidth();
calibration[i*(6+localTransform.size())+5] = sensorData.cameraModels()[i].imageHeight();
memcpy(calibration.data()+i*(6+localTransform.size())+6, localTransform.data(), localTransform.size()*sizeof(float));
calibration.resize(sensorData.cameraModels().size() * (6+Transform().size()));
for(unsigned int i=0; i<sensorData.cameraModels().size(); ++i)
{
UASSERT(sensorData.cameraModels()[i].isValidForProjection());
const Transform & localTransform = sensorData.cameraModels()[i].localTransform();
calibration[i*(6+localTransform.size())] = sensorData.cameraModels()[i].fx();
calibration[i*(6+localTransform.size())+1] = sensorData.cameraModels()[i].fy();
calibration[i*(6+localTransform.size())+2] = sensorData.cameraModels()[i].cx();
calibration[i*(6+localTransform.size())+3] = sensorData.cameraModels()[i].cy();
calibration[i*(6+localTransform.size())+4] = sensorData.cameraModels()[i].imageWidth();
calibration[i*(6+localTransform.size())+5] = sensorData.cameraModels()[i].imageHeight();
memcpy(calibration.data()+i*(6+localTransform.size())+6, localTransform.data(), localTransform.size()*sizeof(float));
}
}
else
{
calibration.resize(sensorData.cameraModels().size() * (4+Transform().size()));
for(unsigned int i=0; i<sensorData.cameraModels().size(); ++i)
{
UASSERT(sensorData.cameraModels()[i].isValidForProjection());
const Transform & localTransform = sensorData.cameraModels()[i].localTransform();
calibration[i*(4+localTransform.size())] = sensorData.cameraModels()[i].fx();
calibration[i*(4+localTransform.size())+1] = sensorData.cameraModels()[i].fy();
calibration[i*(4+localTransform.size())+2] = sensorData.cameraModels()[i].cx();
calibration[i*(4+localTransform.size())+3] = sensorData.cameraModels()[i].cy();
memcpy(calibration.data()+i*(4+localTransform.size())+4, localTransform.data(), localTransform.size()*sizeof(float));
}
}
}
else if(sensorData.stereoCameraModel().isValidForProjection())

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -62,6 +62,7 @@ private:
virtual int getLastDictionarySizeQuery() const;
virtual int getTotalNodesSizeQuery() const;
virtual int getTotalDictionarySizeQuery() const;
virtual ParametersMap getLastParametersQuery() const;
virtual void executeNoResultQuery(const std::string & sql) const;

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -33,6 +33,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include <rtabmap/utilite/UFile.h>
#include <rtabmap/utilite/UStl.h>
#include <rtabmap/utilite/UConversion.h>
#include <rtabmap/utilite/UEventsManager.h>
#include "rtabmap/core/CameraEvent.h"
#include "rtabmap/core/RtabmapEvent.h"
@@ -46,16 +47,21 @@ DBReader::DBReader(const std::string & databasePath,
float frameRate,
bool odometryIgnored,
bool ignoreGoalDelay,
bool goalsIgnored) :
bool goalsIgnored,
int startIndex,
int cameraIndex) :
Camera(frameRate),
_paths(uSplit(databasePath, ';')),
_frameRate(frameRate),
_odometryIgnored(odometryIgnored),
_ignoreGoalDelay(ignoreGoalDelay),
_goalsIgnored(goalsIgnored),
_startIndex(startIndex),
_cameraIndex(cameraIndex),
_dbDriver(0),
_currentId(_ids.end()),
_previousStamp(0),
_previousMapID(0)
_previousMapID(0),
_calibrated(false)
{
}
@@ -63,16 +69,21 @@ DBReader::DBReader(const std::list<std::string> & databasePaths,
float frameRate,
bool odometryIgnored,
bool ignoreGoalDelay,
bool goalsIgnored) :
bool goalsIgnored,
int startIndex,
int cameraIndex) :
Camera(frameRate),
_paths(databasePaths),
_frameRate(frameRate),
_odometryIgnored(odometryIgnored),
_ignoreGoalDelay(ignoreGoalDelay),
_goalsIgnored(goalsIgnored),
_startIndex(startIndex),
_cameraIndex(cameraIndex),
_dbDriver(0),
_currentId(_ids.end()),
_previousStamp(0),
_previousMapID(0)
_previousMapID(0),
_calibrated(false)
{
}
@@ -85,7 +96,9 @@ DBReader::~DBReader()
}
}
bool DBReader::init(int startIndex)
bool DBReader::init(
const std::string & calibrationFolder,
const std::string & cameraName)
{
if(_dbDriver)
{
@@ -97,6 +110,7 @@ bool DBReader::init(int startIndex)
_currentId=_ids.end();
_previousStamp = 0;
_previousMapID = 0;
_calibrated = false;
if(_paths.size() == 0)
{
@@ -129,12 +143,12 @@ bool DBReader::init(int startIndex)
_dbDriver->getAllNodeIds(_ids);
_currentId = _ids.begin();
if(startIndex>0 && _ids.size())
if(_startIndex>0 && _ids.size())
{
std::set<int>::iterator iter = uIteratorAt(_ids, startIndex);
std::set<int>::iterator iter = uIteratorAt(_ids, _startIndex);
if(iter == _ids.end())
{
UWARN("Start index is too high (%d), the last in database is %d. Starting from beginning...", startIndex, _ids.size()-1);
UWARN("Start index is too high (%d), the last in database is %d. Starting from beginning...", _startIndex, _ids.size()-1);
}
else
{
@@ -142,142 +156,139 @@ bool DBReader::init(int startIndex)
}
}
if(_ids.size())
{
std::vector<CameraModel> models;
StereoCameraModel stereoModel;
if(_dbDriver->getCalibration(*_ids.begin(), models, stereoModel))
{
if(models.size() && models.at(0).isValidForProjection())
{
_calibrated = true;
}
else if(stereoModel.isValidForProjection())
{
_calibrated = true;
}
}
}
_timer.start();
return true;
}
void DBReader::setFrameRate(float frameRate)
bool DBReader::isCalibrated() const
{
_frameRate = frameRate;
return _calibrated;
}
void DBReader::mainLoopBegin()
std::string DBReader::getSerial() const
{
_timer.start();
return "DBReader";
}
void DBReader::mainLoop()
SensorData DBReader::captureImage(CameraInfo * info)
{
OdometryEvent odom = this->getNextData();
if(odom.data().id())
{
std::string goalId;
double previousStamp = odom.data().stamp();
if(previousStamp == 0)
{
odom.data().setStamp(UTimer::now());
}
if(!_goalsIgnored &&
odom.data().userDataRaw().type() == CV_8SC1 &&
odom.data().userDataRaw().cols >= 7 && // including null str ending
odom.data().userDataRaw().rows == 1 &&
memcmp(odom.data().userDataRaw().data, "GOAL:", 5) == 0)
{
//GOAL format detected, remove it from the user data and send it as goal event
std::string goalStr = (const char *)odom.data().userDataRaw().data;
if(!goalStr.empty())
{
std::list<std::string> strs = uSplit(goalStr, ':');
if(strs.size() == 2)
{
goalId = *strs.rbegin();
odom.data().setUserData(cv::Mat());
}
}
}
if(!_odometryIgnored)
{
if(odom.pose().isNull())
{
UWARN("Reading the database: odometry is null! "
"Please set \"Ignore odometry = true\" if there is "
"no odometry in the database.");
}
this->post(new OdometryEvent(odom));
}
else
{
this->post(new CameraEvent(odom.data()));
}
if(!goalId.empty())
{
double delay = 0.0;
if(!_ignoreGoalDelay && _currentId != _ids.end())
{
// get stamp for the next signature to compute the delay
// that was used originally for planning
int weight;
std::string label;
double stamp;
int mapId;
Transform localTransform, pose, groundTruth;
_dbDriver->getNodeInfo(*_currentId, pose, mapId, weight, label, stamp, groundTruth);
if(previousStamp && stamp && stamp > previousStamp)
{
delay = stamp - previousStamp;
}
}
if(delay > 0.0)
{
UWARN("Goal \"%s\" detected, posting it! Waiting %f seconds before sending next data...",
goalId.c_str(), delay);
}
else
{
UWARN("Goal \"%s\" detected, posting it!", goalId.c_str());
}
if(uIsInteger(goalId))
{
this->post(new RtabmapEventCmd(RtabmapEventCmd::kCmdGoal, atoi(goalId.c_str())));
}
else
{
this->post(new RtabmapEventCmd(RtabmapEventCmd::kCmdGoal, goalId));
}
if(delay > 0.0)
{
uSleep(delay*1000);
}
}
}
else if(!this->isKilled())
SensorData data = this->getNextData(info);
if(data.id() == 0)
{
UINFO("no more images...");
if(_paths.size() > 1)
while(_paths.size() > 1 && data.id() == 0)
{
_paths.pop_front();
UWARN("Loading next database \"%s\"...", _paths.front().c_str());
if(!this->init())
{
UERROR("Failed to initialize the next database \"%s\"", _paths.front().c_str());
this->kill();
this->post(new CameraEvent());
return data;
}
else
{
data = this->getNextData(info);
}
}
else
}
if(data.id())
{
std::string goalId;
double previousStamp = data.stamp();
if(previousStamp == 0)
{
this->kill();
this->post(new CameraEvent());
data.setStamp(UTimer::now());
}
}
if(!_goalsIgnored &&
data.userDataRaw().type() == CV_8SC1 &&
data.userDataRaw().cols >= 7 && // including null str ending
data.userDataRaw().rows == 1 &&
memcmp(data.userDataRaw().data, "GOAL:", 5) == 0)
{
//GOAL format detected, remove it from the user data and send it as goal event
std::string goalStr = (const char *)data.userDataRaw().data;
if(!goalStr.empty())
{
std::list<std::string> strs = uSplit(goalStr, ':');
if(strs.size() == 2)
{
goalId = *strs.rbegin();
data.setUserData(cv::Mat());
double delay = 0.0;
if(!_ignoreGoalDelay && _currentId != _ids.end())
{
// get stamp for the next signature to compute the delay
// that was used originally for planning
int weight;
std::string label;
double stamp;
int mapId;
Transform localTransform, pose, groundTruth;
_dbDriver->getNodeInfo(*_currentId, pose, mapId, weight, label, stamp, groundTruth);
if(previousStamp && stamp && stamp > previousStamp)
{
delay = stamp - previousStamp;
}
}
if(delay > 0.0)
{
UWARN("Goal \"%s\" detected, posting it! Waiting %f seconds before sending next data...",
goalId.c_str(), delay);
}
else
{
UWARN("Goal \"%s\" detected, posting it!", goalId.c_str());
}
if(uIsInteger(goalId))
{
UEventsManager::post(new RtabmapEventCmd(RtabmapEventCmd::kCmdGoal, atoi(goalId.c_str())));
}
else
{
UEventsManager::post(new RtabmapEventCmd(RtabmapEventCmd::kCmdGoal, goalId));
}
if(delay > 0.0)
{
uSleep(delay*1000);
}
}
}
}
}
return data;
}
OdometryEvent DBReader::getNextData()
SensorData DBReader::getNextData(CameraInfo * info)
{
OdometryEvent odom;
SensorData data;
if(_dbDriver)
{
if(!this->isKilled() && _currentId != _ids.end())
if(_currentId != _ids.end())
{
int mapId;
SensorData data;
_dbDriver->getNodeData(*_currentId, data);
// info
@@ -312,12 +323,12 @@ OdometryEvent DBReader::getNextData()
}
// Frame rate
if(_frameRate < 0.0f)
if(this->getImageRate() < 0.0f)
{
if(stamp == 0)
{
UERROR("The option to use database stamps is set (framerate<0), but there are no stamps saved in the database! Aborting...");
this->kill();
return data;
}
else if(_previousMapID == mapId && _previousStamp > 0)
{
@@ -346,38 +357,61 @@ OdometryEvent DBReader::getNextData()
_previousStamp = stamp;
_previousMapID = mapId;
}
else if(_frameRate>0.0f)
data.uncompressData();
if(data.cameraModels().size() > 1 &&
_cameraIndex >= 0)
{
int sleepTime = (1000.0f/_frameRate - 1000.0f*_timer.getElapsedTime());
if(sleepTime > 2)
if(_cameraIndex < (int)data.cameraModels().size())
{
uSleep(sleepTime-2);
}
// select one camera
int subImageWidth = data.imageRaw().cols/data.cameraModels().size();
UASSERT(!data.imageRaw().empty() &&
data.imageRaw().cols % data.cameraModels().size() == 0 &&
_cameraIndex*subImageWidth < data.imageRaw().cols);
data.setImageRaw(
cv::Mat(data.imageRaw(),
cv::Rect(_cameraIndex*subImageWidth, 0, subImageWidth, data.imageRaw().rows)).clone());
// Add precision at the cost of a small overhead
while(_timer.getElapsedTime() < 1.0/double(_frameRate)-0.000001)
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);
data.setDepthOrRightRaw(
cv::Mat(data.depthOrRightRaw(),
cv::Rect(_cameraIndex*subImageWidth, 0, subImageWidth, data.depthOrRightRaw().rows)).clone());
}
CameraModel model = data.cameraModels().at(_cameraIndex);
data.setCameraModel(model);
}
else
{
//
UWARN("DBReader: Camera index %d doesn't exist! Camera models = %d.", _cameraIndex, (int)data.cameraModels().size());
}
double slept = _timer.getElapsedTime();
_timer.start();
UDEBUG("slept=%fs vs target=%fs", slept, 1.0/double(_frameRate));
}
data.setId(seq);
data.setStamp(stamp);
data.setGroundTruth(groundTruth);
UDEBUG("Laser=%d RGB/Left=%d Depth/Right=%d, UserData=%d",
data.laserScanRaw().empty()?0:1,
data.imageRaw().empty()?0:1,
data.depthOrRightRaw().empty()?0:1,
data.userDataRaw().empty()?0:1);
if(!this->isKilled())
if(!_odometryIgnored)
{
data.uncompressData();
data.setId(seq);
data.setStamp(stamp);
data.setGroundTruth(groundTruth);
UDEBUG("Laser=%d RGB/Left=%d Depth/Right=%d, UserData=%d",
data.laserScanRaw().empty()?0:1,
data.imageRaw().empty()?0:1,
data.depthOrRightRaw().empty()?0:1,
data.userDataRaw().empty()?0:1);
odom = OdometryEvent(data, pose, infMatrix.inv());
if(pose.isNull())
{
UWARN("Reading the database: odometry is null! "
"Please set \"Ignore odometry = true\" if there is "
"no odometry in the database.");
}
if(info)
{
info->odomPose = pose;
info->odomCovariance = infMatrix.inv();
}
}
}
}
@@ -385,7 +419,7 @@ OdometryEvent DBReader::getNextData()
{
UERROR("Not initialized...");
}
return odom;
return data;
}
} /* namespace rtabmap */

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -308,10 +308,9 @@ cv::Rect Feature2D::computeRoi(const cv::Mat & image, const std::vector<float> &
}
//right roi
roi.width = width - roi.x;
if(roiRatios[1] > 0 && roiRatios[1] < 1 - roiRatios[0])
{
roi.width -= width * roiRatios[1];
roi.width -= width * roiRatios[1] + width * roiRatios[0];
}
//top roi
@@ -321,10 +320,9 @@ cv::Rect Feature2D::computeRoi(const cv::Mat & image, const std::vector<float> &
}
//bottom roi
roi.height = height - roi.y;
if(roiRatios[3] > 0 && roiRatios[3] < 1 - roiRatios[2])
{
roi.height -= height * roiRatios[3];
roi.height -= height * roiRatios[3] + height * roiRatios[2];
}
UDEBUG("roi = %d, %d, %d, %d", roi.x, roi.y, roi.width, roi.height);
@@ -494,30 +492,42 @@ std::vector<cv::KeyPoint> Feature2D::generateKeypoints(const cv::Mat & image, co
UASSERT(image.type() == CV_8UC1);
cv::Mat mask;
if(maskIn.type()==CV_16UC1 || maskIn.type() == CV_32FC1)
if(!maskIn.empty())
{
mask = cv::Mat::zeros(maskIn.rows, maskIn.cols, CV_8UC1);
for(int i=0; i<(int)mask.total(); ++i)
if(maskIn.type()==CV_16UC1 || maskIn.type() == CV_32FC1)
{
float value = 0.0f;
if(maskIn.type()==CV_16UC1)
mask = cv::Mat::zeros(maskIn.rows, maskIn.cols, CV_8UC1);
for(int i=0; i<(int)mask.total(); ++i)
{
if(((unsigned short*)maskIn.data)[i] > 0 &&
((unsigned short*)maskIn.data)[i] < std::numeric_limits<unsigned short>::max())
float value = 0.0f;
if(maskIn.type()==CV_16UC1)
{
value = float(((unsigned short*)maskIn.data)[i])*0.001f;
if(((unsigned short*)maskIn.data)[i] > 0 &&
((unsigned short*)maskIn.data)[i] < std::numeric_limits<unsigned short>::max())
{
value = float(((unsigned short*)maskIn.data)[i])*0.001f;
}
}
else
{
value = ((float*)maskIn.data)[i];
}
if(value>_minDepth &&
(_maxDepth == 0.0f || value <= _maxDepth))
{
((unsigned char*)mask.data)[i] = 255; // ORB uses 255 to handle pyramids
}
}
else
{
value = ((float*)maskIn.data)[i];
}
if(value>_minDepth &&
(_maxDepth == 0.0f || value <= _maxDepth))
{
((unsigned char*)mask.data)[i] = 1;
}
}
else if(maskIn.type()==CV_8UC1)
{
// assume a standard mask
mask = maskIn;
}
else
{
UERROR("Wrong mask type (%d)! Should be 8UC1, 16UC1 or 32FC1.", maskIn.type());
}
}
@@ -529,7 +539,7 @@ std::vector<cv::KeyPoint> Feature2D::generateKeypoints(const cv::Mat & image, co
// Get keypoints
cv::Rect roi = Feature2D::computeRoi(image, _roiRatios);
keypoints = this->generateKeypointsImpl(image, roi.width && roi.height?roi:cv::Rect(0,0,image.cols, image.rows), mask);
UDEBUG("Keypoints extraction time = %f s, keypoints extracted = %d", timer.ticks(), keypoints.size());
UDEBUG("Keypoints extraction time = %f s, keypoints extracted = %d (mask empty=%d)", timer.ticks(), keypoints.size(), mask.empty()?1:0);
limitKeypoints(keypoints, maxFeatures_);

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -561,6 +561,36 @@ std::multimap<int, int>::const_iterator findLink(
return links.end();
}
std::multimap<int, Link> filterLinks(
const std::multimap<int, Link> & links,
Link::Type filteredType)
{
std::multimap<int, Link> output;
for(std::multimap<int, Link>::const_iterator iter=links.begin(); iter!=links.end(); ++iter)
{
if(iter->second.type() != filteredType)
{
output.insert(*iter);
}
}
return output;
}
std::map<int, Link> filterLinks(
const std::map<int, Link> & links,
Link::Type filteredType)
{
std::map<int, Link> output;
for(std::map<int, Link>::const_iterator iter=links.begin(); iter!=links.end(); ++iter)
{
if(iter->second.type() != filteredType)
{
output.insert(*iter);
}
}
return output;
}
std::map<int, Transform> frustumPosesFiltering(
const std::map<int, Transform> & poses,
const Transform & cameraPose,

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without

View File

@@ -1,5 +1,5 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -451,7 +451,7 @@ void Memory::parseParameters(const ParametersMap & parameters)
else if(_feature2D)
{
_feature2D->parseParameters(parameters);
}
}
Registration::Type regStrategy = Registration::kTypeUndef;
if((iter=parameters.find(Parameters::kRegStrategy())) != parameters.end())
@@ -478,28 +478,29 @@ void Memory::parseParameters(const ParametersMap & parameters)
{
_registrationIcp->parseParameters(parameters);
}
// do this after all parameters are parsed
// SLAM mode vs Localization mode
iter = parameters.find(Parameters::kMemIncrementalMemory());
if(iter != parameters.end())
{
bool value = uStr2Bool(iter->second.c_str());
if(value == false && _incrementalMemory)
{
// From SLAM to localization, change map id
this->incrementMapId();
// The easiest way to make sure that the mapping session is saved
// is to save the memory in the database and reload it.
if((_memoryChanged || _linksChanged) && _dbDriver)
{
UWARN("Switching from Mapping to Localization mode, the database will be saved and reloaded.");
this->init(_dbDriver->getUrl());
}
}
_incrementalMemory = value;
}
// do this after all parameters are parsed
// SLAM mode vs Localization mode
iter = parameters.find(Parameters::kMemIncrementalMemory());
if(iter != parameters.end())
{
bool value = uStr2Bool(iter->second.c_str());
if(value == false && _incrementalMemory)
{
// From SLAM to localization, change map id
this->incrementMapId();
// The easiest way to make sure that the mapping session is saved
// is to save the memory in the database and reload it.
if((_memoryChanged || _linksChanged) && _dbDriver)
{
UWARN("Switching from Mapping to Localization mode, the database will be saved and reloaded.");
this->init(_dbDriver->getUrl());
UWARN("Switching from Mapping to Localization mode, the database is reloaded!");
}
}
_incrementalMemory = value;
}
}
void Memory::preUpdate()
@@ -1274,7 +1275,8 @@ void Memory::clear()
_lastSignature?_lastSignature->id():0,
UProcessInfo::getMemoryUsage(),
_dbDriver->getMemoryUsed(),
(int)_vwd->getVisualWords().size());
(int)_vwd->getVisualWords().size(),
parameters_);
}
}
UDEBUG("");
@@ -1901,6 +1903,7 @@ bool Memory::labelSignature(int id, const std::string & label)
if(s)
{
s->setLabel(label);
_linksChanged = s->isSaved(); // HACK to get label updated in Localization mode
UWARN("Label \"%s\" set to node %d", label.c_str(), id);
return true;
}
@@ -2122,28 +2125,13 @@ Transform Memory::computeTransform(
// compute transform fromId -> toId
std::vector<int> inliersV;
if(_reextractLoopClosureFeatures || (fromS.getWords().size() && toS.getWords().size()))
if(_reextractLoopClosureFeatures ||
(fromS.getWords().size() && toS.getWords().size()) ||
(!guess.isNull() && !_registrationPipeline->isImageRequired()))
{
Signature tmpFrom = fromS;
Signature tmpTo = toS;
// make a guess fast with known correspondences (if there are)
RegistrationVis regVis(parameters_);
if(tmpFrom.getWords().size() &&
tmpTo.getWords().size() &&
tmpFrom.getWords3().size() &&
tmpTo.getWords3().size())
{
UDEBUG("");
// Remove descriptors, this will avoid recomputation of the correspondences in regVis
tmpFrom.setWordsDescriptors(std::multimap<int, cv::Mat>());
tmpTo.setWordsDescriptors(std::multimap<int, cv::Mat>());
guess = regVis.computeTransformation(tmpFrom, tmpTo, guess, info);
// set back descriptors
tmpFrom.setWordsDescriptors(fromS.getWordsDescriptors());
tmpTo.setWordsDescriptors(toS.getWordsDescriptors());
}
if(_reextractLoopClosureFeatures)
{
UDEBUG("");
@@ -2157,44 +2145,39 @@ Transform Memory::computeTransform(
tmpTo.sensorData().setFeatures(std::vector<cv::KeyPoint>(), cv::Mat());
}
if(guess.isNull())
{
if(!_registrationPipeline->isImageRequired())
{
UDEBUG("");
// no visual in the pipeline, make visual registration for guess
guess = regVis.computeTransformation(tmpFrom, tmpTo, guess, info);
}
else
{
UDEBUG("");
guess.setIdentity();
}
}
if(!guess.isNull())
if(guess.isNull() && !_registrationPipeline->isImageRequired())
{
UDEBUG("");
transform = _registrationPipeline->computeTransformation(tmpFrom, tmpTo, guess, info);
if(!transform.isNull())
// no visual in the pipeline, make visual registration for guess
RegistrationVis regVis(parameters_);
guess = regVis.computeTransformation(tmpFrom, tmpTo, guess, info);
if(!guess.isNull())
{
UDEBUG("");
// verify if it is a 180 degree transform, well verify > 90
float x,y,z, roll,pitch,yaw;
transform.getTranslationAndEulerAngles(x,y,z, roll,pitch,yaw);
if(fabs(roll) > CV_PI/2 ||
fabs(pitch) > CV_PI/2 ||
fabs(yaw) > CV_PI/2)
transform = _registrationPipeline->computeTransformation(tmpFrom, tmpTo, guess, info);
}
}
else
{
transform = _registrationPipeline->computeTransformation(tmpFrom, tmpTo, guess, info);
}
if(!transform.isNull())
{
UDEBUG("");
// verify if it is a 180 degree transform, well verify > 90
float x,y,z, roll,pitch,yaw;
transform.getTranslationAndEulerAngles(x,y,z, roll,pitch,yaw);
if(fabs(roll) > CV_PI/2 ||
fabs(pitch) > CV_PI/2 ||
fabs(yaw) > CV_PI/2)
{
transform.setNull();
std::string msg = uFormat("Too large rotation detected! (roll=%f, pitch=%f, yaw=%f)",
roll, pitch, yaw);
UINFO(msg.c_str());
if(info)
{
transform.setNull();
std::string msg = uFormat("Too large rotation detected! (roll=%f, pitch=%f, yaw=%f)",
roll, pitch, yaw);
UINFO(msg.c_str());
if(info)
{
info->rejectedMsg = msg;
}
info->rejectedMsg = msg;
}
}
}
@@ -2298,6 +2281,7 @@ Transform Memory::computeIcpTransformMulti(
SensorData assembledData;
Transform toPose = poses.at(toId);
std::string msg;
int maxPoints = fromScan.cols;
pcl::PointCloud<pcl::PointXYZ>::Ptr assembledToClouds(new pcl::PointCloud<pcl::PointXYZ>);
for(std::map<int, Transform>::const_iterator iter = poses.begin(); iter!=poses.end(); ++iter)
{
@@ -2309,6 +2293,10 @@ Transform Memory::computeIcpTransformMulti(
cv::Mat scan;
s->sensorData().uncompressData(0, 0, &scan);
pcl::PointCloud<pcl::PointXYZ>::Ptr cloud = util3d::laserScanToPointCloud(scan, toPose.inverse() * iter->second);
if(scan.cols > maxPoints)
{
maxPoints = scan.cols;
}
*assembledToClouds += *cloud;
}
else
@@ -2319,7 +2307,7 @@ Transform Memory::computeIcpTransformMulti(
}
if(assembledToClouds->size())
{
assembledData.setLaserScanRaw(util3d::laserScanFromPointCloud(*assembledToClouds, Transform()), fromS->sensorData().laserScanMaxPts(), fromS->sensorData().laserScanMaxRange());
assembledData.setLaserScanRaw(util3d::laserScanFromPointCloud(*assembledToClouds, Transform()), fromS->sensorData().laserScanMaxPts()?fromS->sensorData().laserScanMaxPts():maxPoints, fromS->sensorData().laserScanMaxRange());
}
Transform guess = poses.at(fromId).inverse() * poses.at(toId);
@@ -3234,8 +3222,7 @@ Signature * Memory::createSignature(const SensorData & data, const Transform & p
}
cv::Mat depthMask;
if(!decimatedData.depthRaw().empty() &&
_feature2D->getType() != Feature2D::kFeatureOrb) // ORB's mask pyramids don't seem to work well
if(!decimatedData.depthRaw().empty())
{
if(imageMono.rows % decimatedData.depthRaw().rows == 0 &&
imageMono.cols % decimatedData.depthRaw().cols == 0 &&
@@ -3266,34 +3253,6 @@ Signature * Memory::createSignature(const SensorData & data, const Transform & p
(!decimatedData.rightRaw().empty() && decimatedData.stereoCameraModel().isValidForProjection()))
{
keypoints3D = _feature2D->generateKeypoints3D(decimatedData, keypoints);
if(_feature2D->getMinDepth() > 0.0f || _feature2D->getMaxDepth() > 0.0f)
{
UDEBUG("");
//remove all keypoints/descriptors with no valid 3D points
UASSERT((int)keypoints.size() == descriptors.rows &&
keypoints3D.size() == keypoints.size());
std::vector<cv::KeyPoint> validKeypoints(keypoints.size());
std::vector<cv::Point3f> validKeypoints3D(keypoints.size());
cv::Mat validDescriptors(descriptors.size(), descriptors.type());
int oi=0;
for(unsigned int i=0; i<keypoints3D.size(); ++i)
{
if(util3d::isFinite(keypoints3D[i]))
{
validKeypoints[oi] = keypoints[i];
validKeypoints3D[oi] = keypoints3D[i];
descriptors.row(i).copyTo(validDescriptors.row(oi));
++oi;
}
}
UDEBUG("Removed %d invalid 3D points", (int)keypoints3D.size()-oi);
validKeypoints.resize(oi);
validKeypoints3D.resize(oi);
keypoints = validKeypoints;
keypoints3D = validKeypoints3D;
descriptors = validDescriptors.rowRange(0, oi).clone();
}
t = timer.ticks();
if(stats) stats->addStatistic(Statistics::kTimingMemKeypoints_3D(), t*1000.0f);
UDEBUG("time keypoints 3D (%d) = %fs", (int)keypoints3D.size(), t);
@@ -3427,7 +3386,7 @@ Signature * Memory::createSignature(const SensorData & data, const Transform & p
UASSERT(keypoints3D.size() == 0 || keypoints3D.size() == wordIds.size());
unsigned int i=0;
float decimationRatio = preDecimation / _imagePostDecimation;
double log2value = log(preDecimation)/log(2);
double log2value = log(double(preDecimation))/log(2.0);
for(std::list<int>::iterator iter=wordIds.begin(); iter!=wordIds.end() && i < keypoints.size(); ++iter, ++i)
{
cv::KeyPoint kpt = keypoints[i];

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