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https://github.com/introlab/rtabmap.git
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Fixed stereo optical flow crash when no keypoints are extracted
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@@ -567,11 +567,15 @@ cv::Mat Feature2D::generateDescriptors(
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const cv::Mat & image,
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const cv::Mat & image,
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std::vector<cv::KeyPoint> & keypoints) const
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std::vector<cv::KeyPoint> & keypoints) const
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{
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{
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UASSERT(!image.empty());
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cv::Mat descriptors;
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UASSERT(image.type() == CV_8UC1);
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if(keypoints.size())
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cv::Mat descriptors = generateDescriptorsImpl(image, keypoints);
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{
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UASSERT_MSG(descriptors.rows == (int)keypoints.size(), uFormat("descriptors=%d, keypoints=%d", descriptors.rows, (int)keypoints.size()).c_str());
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UASSERT(!image.empty());
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UDEBUG("Descriptors extracted = %d, remaining kpts=%d", descriptors.rows, (int)keypoints.size());
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UASSERT(image.type() == CV_8UC1);
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descriptors = generateDescriptorsImpl(image, keypoints);
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UASSERT_MSG(descriptors.rows == (int)keypoints.size(), uFormat("descriptors=%d, keypoints=%d", descriptors.rows, (int)keypoints.size()).c_str());
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UDEBUG("Descriptors extracted = %d, remaining kpts=%d", descriptors.rows, (int)keypoints.size());
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}
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return descriptors;
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return descriptors;
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}
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}
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@@ -580,47 +584,50 @@ std::vector<cv::Point3f> Feature2D::generateKeypoints3D(
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const std::vector<cv::KeyPoint> & keypoints) const
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const std::vector<cv::KeyPoint> & keypoints) const
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{
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{
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std::vector<cv::Point3f> keypoints3D;
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std::vector<cv::Point3f> keypoints3D;
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if(!data.rightRaw().empty() && !data.imageRaw().empty() && data.stereoCameraModel().isValidForProjection())
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if(keypoints.size())
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{
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{
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//stereo
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if(!data.rightRaw().empty() && !data.imageRaw().empty() && data.stereoCameraModel().isValidForProjection())
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cv::Mat imageMono;
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// convert to grayscale
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if(data.imageRaw().channels() > 1)
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{
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{
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cv::cvtColor(data.imageRaw(), imageMono, cv::COLOR_BGR2GRAY);
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//stereo
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cv::Mat imageMono;
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// convert to grayscale
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if(data.imageRaw().channels() > 1)
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{
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cv::cvtColor(data.imageRaw(), imageMono, cv::COLOR_BGR2GRAY);
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}
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else
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{
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imageMono = data.imageRaw();
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}
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std::vector<cv::Point2f> leftCorners;
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cv::KeyPoint::convert(keypoints, leftCorners);
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std::vector<unsigned char> status;
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std::vector<cv::Point2f> rightCorners;
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rightCorners = _stereo->computeCorrespondences(
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imageMono,
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data.rightRaw(),
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leftCorners,
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status);
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keypoints3D = util3d::generateKeypoints3DStereo(
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leftCorners,
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rightCorners,
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data.stereoCameraModel(),
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status,
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_minDepth,
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_maxDepth);
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}
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}
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else
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else if(!data.depthRaw().empty() && data.cameraModels().size())
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{
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{
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imageMono = data.imageRaw();
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keypoints3D = util3d::generateKeypoints3DDepth(
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keypoints,
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data.depthOrRightRaw(),
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data.cameraModels(),
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_minDepth,
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_maxDepth);
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}
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}
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std::vector<cv::Point2f> leftCorners;
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cv::KeyPoint::convert(keypoints, leftCorners);
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std::vector<unsigned char> status;
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std::vector<cv::Point2f> rightCorners;
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rightCorners = _stereo->computeCorrespondences(
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imageMono,
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data.rightRaw(),
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leftCorners,
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status);
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keypoints3D = util3d::generateKeypoints3DStereo(
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leftCorners,
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rightCorners,
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data.stereoCameraModel(),
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status,
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_minDepth,
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_maxDepth);
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}
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else if(!data.depthRaw().empty() && data.cameraModels().size())
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{
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keypoints3D = util3d::generateKeypoints3DDepth(
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keypoints,
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data.depthOrRightRaw(),
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data.cameraModels(),
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_minDepth,
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_maxDepth);
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}
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}
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return keypoints3D;
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return keypoints3D;
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