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* 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)
627 lines
19 KiB
C++
627 lines
19 KiB
C++
/*
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Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
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All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are met:
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* Redistributions of source code must retain the above copyright
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notice, this list of conditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above copyright
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notice, this list of conditions and the following disclaimer in the
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documentation and/or other materials provided with the distribution.
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* Neither the name of the Universite de Sherbrooke nor the
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names of its contributors may be used to endorse or promote products
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derived from this software without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
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DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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#include <rtabmap/core/StereoCameraModel.h>
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#include <rtabmap/core/Version.h>
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#include <rtabmap/utilite/ULogger.h>
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#include <rtabmap/utilite/UDirectory.h>
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#include <rtabmap/utilite/UFile.h>
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#include <rtabmap/utilite/UConversion.h>
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#include <opencv2/imgproc/imgproc.hpp>
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#if (CV_MAJOR_VERSION > 2 and CV_MAJOR_VERSION < 5) or (CV_MAJOR_VERSION == 2 and (CV_MINOR_VERSION >4 or (CV_MINOR_VERSION == 4 and CV_SUBMINOR_VERSION >=10)))
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#include <rtabmap/core/stereo/stereoRectifyFisheye.h>
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#endif
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namespace rtabmap {
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StereoCameraModel::StereoCameraModel(
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const std::string & name,
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const cv::Size & imageSize1,
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const cv::Mat & K1, const cv::Mat & D1, const cv::Mat & R1, const cv::Mat & P1,
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const cv::Size & imageSize2,
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const cv::Mat & K2, const cv::Mat & D2, const cv::Mat & R2, const cv::Mat & P2,
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const cv::Mat & R, const cv::Mat & T, const cv::Mat & E, const cv::Mat & F,
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const Transform & localTransform) :
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leftSuffix_("left"),
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rightSuffix_("right"),
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left_(name+"_"+leftSuffix_, imageSize1, K1, D1, R1, P1, localTransform),
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right_(name+"_"+rightSuffix_, imageSize2, K2, D2, R2, P2, localTransform),
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name_(name),
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R_(R),
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T_(T),
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E_(E),
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F_(F)
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{
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UASSERT(R_.empty() || (R_.rows == 3 && R_.cols == 3 && R_.type() == CV_64FC1));
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UASSERT(T_.empty() || (T_.rows == 3 && T_.cols == 1 && T_.type() == CV_64FC1));
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UASSERT(E_.empty() || (E_.rows == 3 && E_.cols == 3 && E_.type() == CV_64FC1));
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UASSERT(F_.empty() || (F_.rows == 3 && F_.cols == 3 && F_.type() == CV_64FC1));
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}
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StereoCameraModel::StereoCameraModel(
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const std::string & name,
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const CameraModel & leftCameraModel,
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const CameraModel & rightCameraModel,
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const cv::Mat & R,
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const cv::Mat & T,
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const cv::Mat & E,
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const cv::Mat & F) :
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leftSuffix_("left"),
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rightSuffix_("right"),
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left_(leftCameraModel),
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right_(rightCameraModel),
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name_(name),
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R_(R),
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T_(T),
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E_(E),
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F_(F)
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{
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left_.setName(name+"_"+getLeftSuffix());
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right_.setName(name+"_"+getRightSuffix());
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UASSERT(R_.empty() || (R_.rows == 3 && R_.cols == 3 && R_.type() == CV_64FC1));
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UASSERT(T_.empty() || (T_.rows == 3 && T_.cols == 1 && T_.type() == CV_64FC1));
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UASSERT(E_.empty() || (E_.rows == 3 && E_.cols == 3 && E_.type() == CV_64FC1));
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UASSERT(F_.empty() || (F_.rows == 3 && F_.cols == 3 && F_.type() == CV_64FC1));
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if(!R_.empty() && !T_.empty())
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{
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UASSERT(leftCameraModel.isValidForRectification() && rightCameraModel.isValidForRectification());
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if(left_.imageWidth() == right_.imageWidth() && left_.imageHeight() == right_.imageHeight())
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{
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updateStereoRectification();
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}
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}
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}
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StereoCameraModel::StereoCameraModel(
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const std::string & name,
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const CameraModel & leftCameraModel,
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const CameraModel & rightCameraModel,
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const Transform & extrinsics) :
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leftSuffix_("left"),
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rightSuffix_("right"),
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left_(leftCameraModel),
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right_(rightCameraModel),
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name_(name)
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{
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left_.setName(name+"_"+getLeftSuffix());
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right_.setName(name+"_"+getRightSuffix());
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if(!extrinsics.isNull())
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{
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UASSERT(leftCameraModel.isValidForRectification() && rightCameraModel.isValidForRectification());
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extrinsics.rotationMatrix().convertTo(R_, CV_64FC1);
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extrinsics.translationMatrix().convertTo(T_, CV_64FC1);
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if(left_.imageWidth() == right_.imageWidth() && left_.imageHeight() == right_.imageHeight())
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{
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updateStereoRectification();
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}
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}
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}
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StereoCameraModel::StereoCameraModel(
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double fx,
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double fy,
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double cx,
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double cy,
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double baseline,
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const Transform & localTransform,
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const cv::Size & imageSize) :
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leftSuffix_("left"),
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rightSuffix_("right"),
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left_(fx, fy, cx, cy, localTransform, 0, imageSize),
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right_(fx, fy, cx, cy, localTransform, baseline*-fx, imageSize)
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{
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}
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//minimal to be saved
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StereoCameraModel::StereoCameraModel(
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const std::string & name,
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double fx,
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double fy,
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double cx,
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double cy,
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double baseline,
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const Transform & localTransform,
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const cv::Size & imageSize) :
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leftSuffix_("left"),
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rightSuffix_("right"),
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left_(name+"_"+getLeftSuffix(), fx, fy, cx, cy, localTransform, 0, imageSize),
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right_(name+"_"+getRightSuffix(), fx, fy, cx, cy, localTransform, baseline*-fx, imageSize),
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name_(name)
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{
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}
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void StereoCameraModel::setName(const std::string & name, const std::string & leftSuffix, const std::string & rightSuffix)
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{
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name_=name;
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leftSuffix_ = leftSuffix;
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rightSuffix_ = rightSuffix;
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left_.setName(name_+"_"+getLeftSuffix());
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right_.setName(name_+"_"+getRightSuffix());
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}
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void StereoCameraModel::updateStereoRectification()
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{
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cv::Mat R1,R2,P1,P2,Q;
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#if CV_MAJOR_VERSION > 2 or (CV_MAJOR_VERSION == 2 and (CV_MINOR_VERSION >4 or (CV_MINOR_VERSION == 4 and CV_SUBMINOR_VERSION >=10)))
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bool fishEye = left_.D_raw().cols == 6;
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// calibrate extrinsic
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if(fishEye)
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{
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cv::Vec4d D_left(left_.D_raw().at<double>(0,0), left_.D_raw().at<double>(0,1), left_.D_raw().at<double>(0,4), left_.D_raw().at<double>(0,5));
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cv::Vec4d D_right(right_.D_raw().at<double>(0,0), right_.D_raw().at<double>(0,1), right_.D_raw().at<double>(0,4), right_.D_raw().at<double>(0,5));
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#if CV_MAJOR_VERSION < 5
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stereoRectifyFisheye(
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left_.K_raw(), D_left,
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right_.K_raw(), D_right,
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left_.imageSize(), R_, T_, R1, R2, P1, P2, Q,
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cv::CALIB_ZERO_DISPARITY, 0, left_.imageSize());
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#else
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double balance = 0.0, fov_scale = 1.0;
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cv::fisheye::stereoRectify(
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left_.K_raw(), D_left,
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right_.K_raw(), D_right,
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left_.imageSize(), R_, T_, R1, R2, P1, P2, Q,
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cv::CALIB_ZERO_DISPARITY, left_.imageSize(), balance, fov_scale);
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#endif
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// Re-zoom to original focal distance
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if(P1.at<double>(0,0) < 0)
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{
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P1.at<double>(0,0) *= -1;
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P1.at<double>(1,1) *= -1;
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}
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if(P2.at<double>(0,0) < 0)
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{
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P2.at<double>(0,0) *= -1;
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P2.at<double>(1,1) *= -1;
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}
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if(P2.at<double>(0,3) > 0)
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{
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P2.at<double>(0,3) *= -1;
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}
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P2.at<double>(0,3) = P2.at<double>(0,3) * left_.K_raw().at<double>(0,0) / P2.at<double>(0,0);
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P1.at<double>(0,0) = P1.at<double>(1,1) = left_.K_raw().at<double>(0,0);
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P2.at<double>(0,0) = P2.at<double>(1,1) = left_.K_raw().at<double>(0,0);
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}
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else
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#endif
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{
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cv::stereoRectify(
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left_.K_raw(), left_.D_raw(),
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right_.K_raw(), right_.D_raw(),
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left_.imageSize(), R_, T_, R1, R2, P1, P2, Q,
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cv::CALIB_ZERO_DISPARITY, 0, left_.imageSize());
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}
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left_ = CameraModel(left_.name(), left_.imageSize(), left_.K_raw(), left_.D_raw(), R1, P1, left_.localTransform());
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right_ = CameraModel(right_.name(), right_.imageSize(), right_.K_raw(), right_.D_raw(), R2, P2, right_.localTransform());
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}
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bool StereoCameraModel::load(const std::string & directory, const std::string & cameraName, bool ignoreStereoTransform, bool initRectificationMaps)
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{
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name_ = cameraName;
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bool leftLoaded = left_.load(directory, cameraName+"_"+getLeftSuffix(), initRectificationMaps);
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bool rightLoaded = right_.load(directory, cameraName+"_"+getRightSuffix(), initRectificationMaps);
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if(leftLoaded && rightLoaded)
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{
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if(ignoreStereoTransform)
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{
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return true;
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}
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//load rotation, translation
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R_ = cv::Mat();
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T_ = cv::Mat();
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E_ = cv::Mat();
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F_ = cv::Mat();
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std::string filePath = directory+"/"+cameraName+"_pose.yaml";
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if(UFile::exists(filePath))
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{
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UINFO("Reading stereo calibration file \"%s\"", filePath.c_str());
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cv::FileStorage fs(filePath, cv::FileStorage::READ);
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cv::FileNode n;
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n = fs["camera_name"];
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if(n.type() != cv::FileNode::NONE)
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{
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name_ = n.string();
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}
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else
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{
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UWARN("Missing \"camera_name\" field in \"%s\"", filePath.c_str());
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}
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// import from ROS calibration format
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n = fs["rotation_matrix"];
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if(n.type() != cv::FileNode::NONE)
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{
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int rows = (int)n["rows"];
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int cols = (int)n["cols"];
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std::vector<double> data;
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n["data"] >> data;
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UASSERT(rows*cols == (int)data.size());
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UASSERT(rows == 3 && cols == 3);
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R_ = cv::Mat(rows, cols, CV_64FC1, data.data()).clone();
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}
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else
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{
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UWARN("Missing \"rotation_matrix\" field in \"%s\"", filePath.c_str());
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}
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n = fs["translation_matrix"];
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if(n.type() != cv::FileNode::NONE)
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{
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int rows = (int)n["rows"];
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int cols = (int)n["cols"];
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std::vector<double> data;
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n["data"] >> data;
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UASSERT(rows*cols == (int)data.size());
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UASSERT(rows == 3 && cols == 1);
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T_ = cv::Mat(rows, cols, CV_64FC1, data.data()).clone();
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}
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else
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{
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UWARN("Missing \"translation_matrix\" field in \"%s\"", filePath.c_str());
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}
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n = fs["essential_matrix"];
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if(n.type() != cv::FileNode::NONE)
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{
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int rows = (int)n["rows"];
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int cols = (int)n["cols"];
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std::vector<double> data;
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n["data"] >> data;
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UASSERT(rows*cols == (int)data.size());
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UASSERT(rows == 3 && cols == 3);
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E_ = cv::Mat(rows, cols, CV_64FC1, data.data()).clone();
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}
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else
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{
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UWARN("Missing \"essential_matrix\" field in \"%s\"", filePath.c_str());
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}
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n = fs["fundamental_matrix"];
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if(n.type() != cv::FileNode::NONE)
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{
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int rows = (int)n["rows"];
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int cols = (int)n["cols"];
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std::vector<double> data;
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n["data"] >> data;
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UASSERT(rows*cols == (int)data.size());
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UASSERT(rows == 3 && cols == 3);
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F_ = cv::Mat(rows, cols, CV_64FC1, data.data()).clone();
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}
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else
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{
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UWARN("Missing \"fundamental_matrix\" field in \"%s\"", filePath.c_str());
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}
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fs.release();
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return true;
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}
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else
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{
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UWARN("Could not load stereo calibration file \"%s\".", filePath.c_str());
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}
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}
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return false;
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}
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bool StereoCameraModel::save(const std::string & directory, bool ignoreStereoTransform) const
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{
|
|
if(left_.save(directory) && right_.save(directory))
|
|
{
|
|
if(ignoreStereoTransform)
|
|
{
|
|
return true;
|
|
}
|
|
return saveStereoTransform(directory);
|
|
}
|
|
return false;
|
|
}
|
|
|
|
bool StereoCameraModel::saveStereoTransform(const std::string & directory) const
|
|
{
|
|
std::string filePath = directory+"/"+name_+"_pose.yaml";
|
|
if(!filePath.empty() && (!R_.empty() && !T_.empty()))
|
|
{
|
|
UINFO("Saving stereo calibration to file \"%s\"", filePath.c_str());
|
|
cv::FileStorage fs(filePath, cv::FileStorage::WRITE);
|
|
|
|
// export in ROS calibration format
|
|
|
|
if(!name_.empty())
|
|
{
|
|
fs << "camera_name" << name_;
|
|
}
|
|
|
|
if(!R_.empty())
|
|
{
|
|
fs << "rotation_matrix" << "{";
|
|
fs << "rows" << R_.rows;
|
|
fs << "cols" << R_.cols;
|
|
fs << "data" << std::vector<double>((double*)R_.data, ((double*)R_.data)+(R_.rows*R_.cols));
|
|
fs << "}";
|
|
}
|
|
|
|
if(!T_.empty())
|
|
{
|
|
fs << "translation_matrix" << "{";
|
|
fs << "rows" << T_.rows;
|
|
fs << "cols" << T_.cols;
|
|
fs << "data" << std::vector<double>((double*)T_.data, ((double*)T_.data)+(T_.rows*T_.cols));
|
|
fs << "}";
|
|
}
|
|
|
|
if(!E_.empty())
|
|
{
|
|
fs << "essential_matrix" << "{";
|
|
fs << "rows" << E_.rows;
|
|
fs << "cols" << E_.cols;
|
|
fs << "data" << std::vector<double>((double*)E_.data, ((double*)E_.data)+(E_.rows*E_.cols));
|
|
fs << "}";
|
|
}
|
|
|
|
if(!F_.empty())
|
|
{
|
|
fs << "fundamental_matrix" << "{";
|
|
fs << "rows" << F_.rows;
|
|
fs << "cols" << F_.cols;
|
|
fs << "data" << std::vector<double>((double*)F_.data, ((double*)F_.data)+(F_.rows*F_.cols));
|
|
fs << "}";
|
|
}
|
|
|
|
fs.release();
|
|
|
|
return true;
|
|
}
|
|
else
|
|
{
|
|
UERROR("Failed saving stereo extrinsics (they are null):");
|
|
std::cout << "R= " << R_ << std::endl;
|
|
std::cout << "T= " << T_ << std::endl;
|
|
std::cout << "E= " << T_ << std::endl;
|
|
std::cout << "F= " << F_ << std::endl;
|
|
}
|
|
return false;
|
|
}
|
|
|
|
std::vector<unsigned char> StereoCameraModel::serialize() const
|
|
{
|
|
std::vector<unsigned char> leftData = left_.serialize();
|
|
std::vector<unsigned char> rightData = right_.serialize();
|
|
|
|
const int headerSize = 10;
|
|
int header[headerSize] = {
|
|
RTABMAP_VERSION_MAJOR, RTABMAP_VERSION_MINOR, RTABMAP_VERSION_PATCH, // 0,1,2
|
|
1, //stereo // 3
|
|
(int)R_.total(), (int)T_.total(), (int)E_.total(), (int)F_.total(), // 4,5,6,7
|
|
(int)leftData.size(), (int)rightData.size()}; // 8,9
|
|
UDEBUG("Header: %d %d %d %d %d %d %d %d %d %d", header[0],header[1],header[2],header[3],header[4],header[5],header[6],header[7],header[8],header[9]);
|
|
std::vector<unsigned char> data(
|
|
sizeof(int)*headerSize +
|
|
sizeof(double)*(R_.total()+T_.total()+E_.total()+F_.total()) +
|
|
leftData.size() + rightData.size());
|
|
memcpy(data.data(), header, sizeof(int)*headerSize);
|
|
int index = sizeof(int)*headerSize;
|
|
if(!R_.empty())
|
|
{
|
|
memcpy(data.data()+index, R_.data, sizeof(double)*(R_.total()));
|
|
index+=sizeof(double)*(R_.total());
|
|
}
|
|
if(!T_.empty())
|
|
{
|
|
memcpy(data.data()+index, T_.data, sizeof(double)*(T_.total()));
|
|
index+=sizeof(double)*(T_.total());
|
|
}
|
|
if(!E_.empty())
|
|
{
|
|
memcpy(data.data()+index, E_.data, sizeof(double)*(E_.total()));
|
|
index+=sizeof(double)*(E_.total());
|
|
}
|
|
if(!F_.empty())
|
|
{
|
|
memcpy(data.data()+index, F_.data, sizeof(double)*(F_.total()));
|
|
index+=sizeof(double)*(F_.total());
|
|
}
|
|
if(leftData.size())
|
|
{
|
|
memcpy(data.data()+index, leftData.data(), leftData.size());
|
|
index+=leftData.size();
|
|
}
|
|
if(rightData.size())
|
|
{
|
|
memcpy(data.data()+index, rightData.data(), rightData.size());
|
|
index+=rightData.size();
|
|
}
|
|
return data;
|
|
}
|
|
|
|
unsigned int StereoCameraModel::deserialize(const std::vector<unsigned char>& data)
|
|
{
|
|
return deserialize(data.data(), data.size());
|
|
}
|
|
unsigned int StereoCameraModel::deserialize(const unsigned char * data, unsigned int dataSize)
|
|
{
|
|
*this = StereoCameraModel();
|
|
int headerSize = 10;
|
|
if(dataSize >= sizeof(int)*headerSize)
|
|
{
|
|
int iR = 4;
|
|
int iT = 5;
|
|
int iE = 6;
|
|
int iF = 7;
|
|
int iLeft = 8;
|
|
int iRight = 9;
|
|
const int * header = (const int *)data;
|
|
UDEBUG("Header: %d %d %d %d %d %d %d %d %d %d", header[0],header[1],header[2],header[3],header[4],header[5],header[6],header[7],header[8],header[9]);
|
|
int type = header[3];
|
|
if(type==1)
|
|
{
|
|
unsigned int requiredDataSize = sizeof(int)*headerSize +
|
|
sizeof(double)*(header[iR]+header[iT]+header[iE]+header[iF]) +
|
|
header[iLeft] + header[iRight];
|
|
UASSERT_MSG(dataSize >= requiredDataSize,
|
|
uFormat("dataSize=%d != required=%d (header: version %d.%d.%d type=%d R=%d T=%d E=%d F=%d Left=%d Right=%d)",
|
|
dataSize,
|
|
requiredDataSize,
|
|
header[0], header[1], header[2], header[3],
|
|
header[iR], header[iT], header[iE],header[iF], header[iLeft], header[iRight]).c_str());
|
|
|
|
unsigned int index = sizeof(int)*headerSize;
|
|
|
|
if(header[iR] != 0)
|
|
{
|
|
UASSERT(header[iR] == 9);
|
|
R_ = cv::Mat(3, 3, CV_64FC1, (void*)(data+index)).clone();
|
|
index+=sizeof(double)*(R_.total());
|
|
}
|
|
|
|
if(header[iT] != 0)
|
|
{
|
|
UASSERT(header[iT] == 3);
|
|
T_ = cv::Mat(3, 1, CV_64FC1, (void*)(data+index)).clone();
|
|
index+=sizeof(double)*(T_.total());
|
|
}
|
|
|
|
if(header[iE] != 0)
|
|
{
|
|
UASSERT(header[iE] == 9);
|
|
E_ = cv::Mat(3, 3, CV_64FC1, (void*)(data+index)).clone();
|
|
index+=sizeof(double)*(E_.total());
|
|
}
|
|
|
|
if(header[iF] != 0)
|
|
{
|
|
UASSERT(header[iF] == 9);
|
|
F_ = cv::Mat(3, 3, CV_64FC1, (void*)(data+index)).clone();
|
|
index+=sizeof(double)*(F_.total());
|
|
}
|
|
|
|
if(header[iLeft] != 0)
|
|
{
|
|
index += left_.deserialize((data+index), header[iLeft]);
|
|
}
|
|
|
|
if(header[iRight] != 0)
|
|
{
|
|
index += right_.deserialize((data+index), header[iRight]);
|
|
}
|
|
|
|
UASSERT(index <= dataSize);
|
|
|
|
return index;
|
|
}
|
|
else
|
|
{
|
|
UERROR("Serialized calibration is not stereo (type=%d), use the appropriate class matching the type to deserialize.", type);
|
|
}
|
|
}
|
|
UERROR("Wrong serialized calibration data format detected (size in bytes=%d)! Cannot deserialize the data.", (int)dataSize);
|
|
return 0;
|
|
}
|
|
|
|
void StereoCameraModel::scale(double scale)
|
|
{
|
|
left_ = left_.scaled(scale);
|
|
right_ = right_.scaled(scale);
|
|
}
|
|
|
|
void StereoCameraModel::roi(const cv::Rect & roi)
|
|
{
|
|
left_ = left_.roi(roi);
|
|
right_ = right_.roi(roi);
|
|
}
|
|
|
|
float StereoCameraModel::computeDepth(float disparity) const
|
|
{
|
|
//depth = baseline * f / (disparity + cx1-cx0);
|
|
UASSERT(this->isValidForProjection());
|
|
if(disparity == 0.0f)
|
|
{
|
|
return 0.0f;
|
|
}
|
|
return baseline() * left().fx() / (disparity + right().cx() - left().cx());
|
|
}
|
|
|
|
float StereoCameraModel::computeDisparity(float depth) const
|
|
{
|
|
// disparity = (baseline * fx / depth) - (cx1-cx0);
|
|
UASSERT(this->isValidForProjection());
|
|
if(depth == 0.0f)
|
|
{
|
|
return 0.0f;
|
|
}
|
|
return baseline() * left().fx() / depth - right().cx() + left().cx();
|
|
}
|
|
|
|
float StereoCameraModel::computeDisparity(unsigned short depth) const
|
|
{
|
|
// disparity = (baseline * fx / depth) - (cx1-cx0);
|
|
UASSERT(this->isValidForProjection());
|
|
if(depth == 0)
|
|
{
|
|
return 0.0f;
|
|
}
|
|
return baseline() * left().fx() / (float(depth)/1000.0f) - right().cx() + left().cx();
|
|
}
|
|
|
|
Transform StereoCameraModel::stereoTransform() const
|
|
{
|
|
if(!R_.empty() && !T_.empty())
|
|
{
|
|
return Transform(
|
|
R_.at<double>(0,0), R_.at<double>(0,1), R_.at<double>(0,2), T_.at<double>(0),
|
|
R_.at<double>(1,0), R_.at<double>(1,1), R_.at<double>(1,2), T_.at<double>(1),
|
|
R_.at<double>(2,0), R_.at<double>(2,1), R_.at<double>(2,2), T_.at<double>(2));
|
|
}
|
|
return Transform();
|
|
}
|
|
|
|
std::ostream& operator<<(std::ostream& os, const StereoCameraModel& model)
|
|
{
|
|
os << "Left Camera " << model.left() << std::endl
|
|
<< "Right Camera " << model.right() << std::endl
|
|
<< "Stereo Extrinsics:" << std::endl
|
|
<< "R= " << model.R() << std::endl
|
|
<< "T= " << model.T() << std::endl
|
|
<< "E= " << model.E() << std::endl
|
|
<< "F= "<< model.F() << std::endl
|
|
<< "baseline= " << model.baseline() << std::endl;
|
|
return os;
|
|
}
|
|
|
|
} /* namespace rtabmap */
|