mirror of
https://github.com/introlab/rtabmap.git
synced 2026-10-07 02:27:47 +08:00
Adding doc and tests (#1492)
* added doc and tests for util2d.h * updated cmake-ros ci * Added util3d.h doc and tests * util3d_transforms.h: Added doc and tests * util3d_filtering.h: started doc and test * util3d_filtering.h: more tests and doc * Added more doc/tests * finished util3d_filtering doc and tests * added test for util2d::depthBleedingFiltering * Added util3d_registration tests * Added util3d_features.h doc/tests * added doc/tests for util3d_correspondences.h * added doc/gtest for util3d_mapping.h (missing hpp functions) * finished testing util3d_mapping.hpp * Added util3d_motion_estimation.h tests (2D->3D done) * finished util3d_motion_estimation.h tests * minimal util3d_surface.h * Added Transform and VisualWord tests * Added doc for CameraModel and StereoCameraModel * Added more logs in ros ci * Passing tests on fical * improved all devcontainer * added devcontainer kilted, fixed source setup.bash, removed ldconfig in ros-cmake workflow * cleanup * source ros * Added utilite tests * Added testing to appveyor, github actions cancellable on re-commit on same branch * appveyor testing without all targets * appveyor: specifying ALL_BUILD target * Fixed Util2dTest.NMSImageBoundsRespected test * Fixing PCL Indices error on old pcl * Added VWDictionary tests and doc. Fixed LSH not working (fix from https://github.com/flann-lib/flann/pull/472 * fixing some appveyor CI errors, added test to check dictionary serialization against all type * Added StereoDense, StereoBM and StereoSGBM doc and tests * Added Stereo tests * Added CameraModel and StereoCameraModel tests * Added doc and test for Statistics * Added doc/tests for Signature * Added doc/test for SensorEvent, added doc for SensorCaptureInfo * Added doc to SensorData * Added SensorData tests * Added SensorCapture and SensorCaptureThread doc and tests * fixed sensordata test * updated SSC test and doc * Added doc and tests for BayesFilter class * Enabled testing on mac, updated windows testing like on linux * added test_link * fixed unresolved on windows * fixed ThreadHandle error on macos ci * Added GPS and GeodeticCoords tests * Added tests for compression * Added Odometry tests (base class only) * Added DBDriver tests * Added coverage report * uniformized test names * fixing concurancy and coverage ci * dont built tools, examples and app for coverage build * fixed report tool rebuilt without qt compilation error * updated coverage option * updated coverage config * added doc CI job * fixing windows and mac ci errors * Added DBDriverSqlite3 tests * Added IMU tests * Added Graph tests * fixing flaky macos test * Added IMUThread and IMUFilter tests * Added Landmarks tests * Added LASWriter tests * fixing seed flaky test * fixing flaky macos timing tests * Added LocalGrid tests * Added LocalGridMaker tests * fixing ci errors * Added GlobalMap tests * Added doc for EnvSensor * Added Features2D tests * Added Registration tests * Added RegistrationVis tests * Added doc for Rtabmap and Memory classes * Added Memory and Rtabmap tests * making some tests less flaky * lcov 1.14 support * updated compatible tool arguments * Added integration tests (RGB-D, Stereo, Lidar2d, Lidar3d) * More octomap checks * Refactored how/when python interpretor is created to simplify library usage * Added python tests * fixed some flaky tests * suppressed some third party related warnings * fixed ceres tests * more flaky fixes * Fixing tests without libpointmatcher * Added RANSAC rejection filter to PCL ICP * fixing multi platform flakiness * Added test to detect regression * Fixing windows pcl link error * fixed some macos flakiness * bigger 2D2D registration error on opencv 4.6.0 * flakiness * fixing flaky tests on windows and mac * flaky thread test on slow mac VM * windows slow test * fixing more ci erros * fxing temp dir on windows * Added Optimizer tests and discovered some bugs (fixed) * fixing flaky tests in mac and windows * Added Optimizer doc * Added GTSAM BA, updated Ceres to use g2o ba parameters. Renamed g2o's ba related parameters to Optimizer group and used by both gtsam and ceres. * fixing build without gtsam * fixing home dir * fixing python ci isssues * Added multicam ba tests * Added Ceres multicam BA support * Aligned BundleAdjustment parameters with Optimizer/Strategy to avoid confusion in the code * Added BA integration test * Added robust graph optimization integration test * Added loop3it test * Added stereo20Hz test * Added smartfactor gtsam * Fixed bugged check and warn if python didn't return any descriptors * Fixing gtsam version build issues * fixing tilt on windows ci * loosing ceres integration test for ci * mac ci flakiness * updating missing param in gui * updating test bound for mac * added appearance-based tests, set min gftt quality to quality level * testing more stuff * improving features2d tests * ci flakiness * fixing flaky ci * ci fixes * flaky fixes * Added RegistrationIcp tests * Added icp integration test with real-worl corridor like env * intermediate nodes * fixing enum * Updated test to catch #1714 * Fixed 2d corridor failing on pcl * flaky pnp test * flaky brisk test * Set rtabmap_integration test as long * updating loop closure test * flaky ci tests * TEsting roundtrip g2o/toro save/load * loosing test bound * fixed cuda capable checks * flaky tests * Debugging test hanging * more debugging stuff * updating limit * windows: disabled cuda on ci to avoid incompatible driver issue. Fixing a bad test mem allocation * trying fixing cuda hanging issue * fixing ci flakyness * flaky tests * Updated BOW flaky tests by checking min precision/recall instead of recall@100precision. Fixed signature test * CameraModel::load() test initRectificationMap param * test dbdriver load dictionary idsOnly * Memory: test keepLinkedInDb param * added dummyDictionary tests * test intermediate nodes count * Added MarkerDetector tests * reverted breaking change of UMutex and USemaphore * Features2d: fixed compiltion warnings with clang about override * clang warnings * fixing test build with pcl 1.8 * g2o and gtsam build errors on android * opencv5 test fixes * disabled testing for ios and android builds * normalized endline characters for easier diff * added LF CRLF rule * bump 0.23.10. fixing doc version * Publish rtabmap website doc from ci * fixing MSCVC build error * macos icp flaky test * fixing ceres macos test bound * ficing more flaky tests * fixing opencv5 related test errors. Also fixed an actual bug in ENU_WGS84ToGeocentric_WGS84() * added comment about mrpt change * removed rosdoc2 (will add it for rtabmap_ros later) * fixing website style * updated download links * locally deployable website with api * sweep doxygen issues * improved/revised doxygen main pages * removed examples empty page * Updated doxygen style * more concise doxygen groups * added api link on main readme * fixing utilite test error * fixing CommonFilteringGroundNormalsUp test * updated precisionRecall test bounds for Freak and brief descriptors * fixing scale check in ba tests * disabled tests on windows cuda build (missing dlls amd runner cannot test cuda anyway) * ceres: missing suitesparse dep in windows ci * adjusting recall thr for fast/freak * ficing more flaky tests * fixing flaky tests * disabled coverage in ros ci * Enable integration tests for ros ci jobs * loosing up some threshold for failing tests * trigger cache * fixing test data in ros ci. Updated flaky test for mac * slaking some test limit * Fixed rtabmap-detectMoreLoopClosures inverted output value * loosing up sift recall on mac * optimizer re-ordered distribution for reproducible results (mac g2o) * macos dump test crash log * combining all tests to save time on shared library reload. Also fixed Logs with missing arguments. * Added ENABLE_FORMAT_ERRORS cmake option * do test only one time * fixed all format warnings * format security android build errors * less verbose tests * updated ImuUThread test * fixed a log * Fixed libpointmatcher 2d normals eigen issue * Fixing libpointmatcher conversion issues * fixing libpointmatcher test on windows ci * cleanup comments, relax some test thr * disabled sequoia-intel ci build (too flaky, would need extensive testing directly on that machine)
This commit is contained in:
+24
-95
@@ -48,7 +48,7 @@ namespace rtabmap
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namespace util3d
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{
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cv::Mat bgrFromCloud(const pcl::PointCloud<pcl::PointXYZRGBA> & cloud, bool bgrOrder)
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cv::Mat rgbFromCloud(const pcl::PointCloud<pcl::PointXYZRGBA> & cloud, bool bgrOrder)
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{
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cv::Mat frameBGR = cv::Mat(cloud.height,cloud.width,CV_8UC3);
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@@ -76,13 +76,9 @@ cv::Mat bgrFromCloud(const pcl::PointCloud<pcl::PointXYZRGBA> & cloud, bool bgrO
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// return float image in meter
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cv::Mat depthFromCloud(
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const pcl::PointCloud<pcl::PointXYZRGBA> & cloud,
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float & fx,
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float & fy,
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bool depth16U)
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{
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cv::Mat frameDepth = cv::Mat(cloud.height,cloud.width,depth16U?CV_16UC1:CV_32FC1);
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fx = 0.0f; // needed to reconstruct the cloud
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fy = 0.0f; // needed to reconstruct the cloud
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for(unsigned int h = 0; h < cloud.height; h++)
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{
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for(unsigned int w = 0; w < cloud.width; w++)
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@@ -102,32 +98,6 @@ cv::Mat depthFromCloud(
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{
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frameDepth.at<float>(h,w) = depth;
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}
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// update constants
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if(fx == 0.0f &&
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uIsFinite(cloud.at(h*cloud.width + w).x) &&
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uIsFinite(depth) &&
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w != cloud.width/2 &&
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depth > 0)
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{
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fx = cloud.at(h*cloud.width + w).x / ((float(w) - float(cloud.width)/2.0f) * depth);
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if(depth16U)
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{
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fx*=1000.0f;
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}
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}
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if(fy == 0.0f &&
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uIsFinite(cloud.at(h*cloud.width + w).y) &&
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uIsFinite(depth) &&
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h != cloud.height/2 &&
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depth > 0)
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{
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fy = cloud.at(h*cloud.width + w).y / ((float(h) - float(cloud.height)/2.0f) * depth);
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if(depth16U)
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{
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fy*=1000.0f;
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}
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}
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}
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}
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return frameDepth;
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@@ -137,16 +107,12 @@ cv::Mat depthFromCloud(
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void rgbdFromCloud(const pcl::PointCloud<pcl::PointXYZRGBA> & cloud,
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cv::Mat & frameBGR,
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cv::Mat & frameDepth,
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float & fx,
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float & fy,
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bool bgrOrder,
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bool depth16U)
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{
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frameDepth = cv::Mat(cloud.height,cloud.width,depth16U?CV_16UC1:CV_32FC1);
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frameBGR = cv::Mat(cloud.height,cloud.width,CV_8UC3);
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fx = 0.0f; // needed to reconstruct the cloud
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fy = 0.0f; // needed to reconstruct the cloud
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for(unsigned int h = 0; h < cloud.height; h++)
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{
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for(unsigned int w = 0; w < cloud.width; w++)
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@@ -181,32 +147,6 @@ void rgbdFromCloud(const pcl::PointCloud<pcl::PointXYZRGBA> & cloud,
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{
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frameDepth.at<float>(h,w) = depth;
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}
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// update constants
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if(fx == 0.0f &&
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uIsFinite(cloud.at(h*cloud.width + w).x) &&
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uIsFinite(depth) &&
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w != cloud.width/2 &&
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depth > 0)
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{
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fx = 1.0f/(cloud.at(h*cloud.width + w).x / ((float(w) - float(cloud.width)/2.0f) * depth));
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if(depth16U)
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{
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fx/=1000.0f;
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}
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}
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if(fy == 0.0f &&
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uIsFinite(cloud.at(h*cloud.width + w).y) &&
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uIsFinite(depth) &&
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h != cloud.height/2 &&
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depth > 0)
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{
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fy = 1.0f/(cloud.at(h*cloud.width + w).y / ((float(h) - float(cloud.height)/2.0f) * depth));
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if(depth16U)
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{
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fy/=1000.0f;
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}
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}
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}
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}
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}
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@@ -1464,28 +1404,25 @@ pcl::PointCloud<pcl::PointXYZ> laserScanFromDepthImages(
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float minDepth)
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{
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pcl::PointCloud<pcl::PointXYZ> scan;
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UASSERT(!depthImages.empty() && !cameraModels.empty());
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UASSERT(int((depthImages.cols/cameraModels.size())*cameraModels.size()) == depthImages.cols);
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int subImageWidth = depthImages.cols/cameraModels.size();
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for(int i=(int)cameraModels.size()-1; i>=0; --i)
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{
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if(cameraModels[i].isValidForProjection())
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{
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cv::Mat depth = cv::Mat(depthImages, cv::Rect(subImageWidth*i, 0, subImageWidth, depthImages.rows));
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UASSERT(cameraModels[i].isValidForProjection());
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UASSERT(cameraModels[i].imageWidth() == subImageWidth);
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UASSERT(subImageWidth*(i+1) <= depthImages.cols);
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cv::Mat depth = cv::Mat(depthImages, cv::Rect(subImageWidth*i, 0, subImageWidth, depthImages.rows));
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scan += laserScanFromDepthImage(
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depth,
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cameraModels[i].fx(),
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cameraModels[i].fy(),
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cameraModels[i].cx(),
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cameraModels[i].cy(),
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maxDepth,
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minDepth,
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cameraModels[i].localTransform());
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}
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else
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{
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UERROR("Camera model %d is invalid", i);
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}
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scan += laserScanFromDepthImage(
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depth,
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cameraModels[i].fx(),
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cameraModels[i].fy(),
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cameraModels[i].cx(),
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cameraModels[i].cy(),
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maxDepth,
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minDepth,
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cameraModels[i].localTransform());
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}
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return scan;
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}
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@@ -2629,11 +2566,7 @@ pcl::PointXYZRGB laserScanToPointRGB(const LaserScan & laserScan, int index, uns
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if(laserScan.hasRGB())
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{
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int * ptrInt = (int*)ptr;
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int indexRGB = laserScan.getRGBOffset();
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output.b = (unsigned char)(ptrInt[indexRGB] & 0xFF);
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output.g = (unsigned char)((ptrInt[indexRGB] >> 8) & 0xFF);
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output.r = (unsigned char)((ptrInt[indexRGB] >> 16) & 0xFF);
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LaserScan::unpackRGB(ptr[laserScan.getRGBOffset()], output.r, output.g, output.b);
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}
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else if(laserScan.hasIntensity())
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{
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@@ -2695,11 +2628,7 @@ pcl::PointXYZRGBNormal laserScanToPointRGBNormal(const LaserScan & laserScan, in
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if(laserScan.hasRGB())
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{
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int * ptrInt = (int*)ptr;
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int indexRGB = laserScan.getRGBOffset();
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output.b = (unsigned char)(ptrInt[indexRGB] & 0xFF);
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output.g = (unsigned char)((ptrInt[indexRGB] >> 8) & 0xFF);
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output.r = (unsigned char)((ptrInt[indexRGB] >> 16) & 0xFF);
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LaserScan::unpackRGB(ptr[laserScan.getRGBOffset()], output.r, output.g, output.b);
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}
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else if(laserScan.hasIntensity())
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{
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@@ -3325,7 +3254,7 @@ std::vector<std::pair< std::pair<int, int>, pcl::PointXY> > projectCloudToCamera
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return pointToPixel;
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std::string msg = uFormat("Computing visible points per cam (%d points, %d cams)", (int)cloud.size(), (int)cameraPoses.size());
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UINFO(msg.c_str());
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UINFO("%s", msg.c_str());
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if(state && !state->callback(msg))
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{
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//cancelled!
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@@ -3454,11 +3383,11 @@ std::vector<std::pair< std::pair<int, int>, pcl::PointXY> > projectCloudToCamera
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if(count == 0)
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{
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registered.clear();
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UINFO("No points projected in camera %d/%d", pter->first, camIndex);
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UINFO("No points projected in camera %d/%d", pter->first, (int)camIndex);
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}
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else
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{
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UDEBUG("%d points projected in camera %d/%d", count, pter->first, camIndex);
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UDEBUG("%d points projected in camera %d/%d", count, pter->first, (int)camIndex);
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}
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for(int u=0; u<imageSize.width; ++u)
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{
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@@ -3516,7 +3445,7 @@ std::vector<std::pair< std::pair<int, int>, pcl::PointXY> > projectCloudToCamera
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}
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msg = uFormat("Processed camera %d/%d", (int)cameraProcessed+1, (int)cameraPoses.size());
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UINFO(msg.c_str());
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UINFO("%s", msg.c_str());
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if(state && !state->callback(msg))
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{
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//cancelled!
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@@ -3527,7 +3456,7 @@ std::vector<std::pair< std::pair<int, int>, pcl::PointXY> > projectCloudToCamera
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}
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msg = uFormat("Select best camera for %d points...", (int)cloud.size());
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UINFO(msg.c_str());
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UINFO("%s", msg.c_str());
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if(state && !state->callback(msg))
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{
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//cancelled!
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@@ -3560,8 +3489,8 @@ std::vector<std::pair< std::pair<int, int>, pcl::PointXY> > projectCloudToCamera
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}
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}
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msg = uFormat("Process %d points...done! (%d [%d%%] projected in cameras)", (int)cloud.size(), colorized, colorized*100/cloud.size());
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UINFO(msg.c_str());
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msg = uFormat("Process %d points...done! (%d [%d%%] projected in cameras)", (int)cloud.size(), colorized, (int)(colorized*100/cloud.size()));
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UINFO("%s", msg.c_str());
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if(state)
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{
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state->callback(msg);
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