Mercurial Hosting > traffic-intelligence
diff c/Parameters.cpp @ 507:081a9da6f85b
first version with undistort implemented in the feature tracking process
author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
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date | Thu, 01 May 2014 17:41:10 -0400 |
parents | 13d4eb96a751 82c06ad62254 |
children | 935430b1d408 |
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--- a/c/Parameters.cpp Mon Apr 28 18:18:14 2014 -0400 +++ b/c/Parameters.cpp Thu May 01 17:41:10 2014 -0400 @@ -33,33 +33,35 @@ ("distortion-coefficients", po::value<std::vector<float> >(&distortionCoefficients)->multitoken(), "") ("undistorted-size-multiplication", po::value<float>(&undistortedImageMultiplication), "undistorted image multiplication") ("mask-filename", po::value<string>(&maskFilename), "filename of the mask image (where features are detected)") + ("undistort", po::value<bool>(&undistort), "undistort the video for feature tracking") ("load-features", po::value<bool>(&loadFeatures), "load features from database") ("display", po::value<bool>(&display), "display trajectories on the video") ("video-fps", po::value<float>(&videoFPS), "original video frame rate") ("frame1", po::value<unsigned int>(&frame1), "first frame to process") ("nframes", po::value<int>(&nFrames), "number of frame to process") // feature tracking - ("max-nfeatures", po::value<int>(&maxNFeatures), "maximum number of features added at each frame") - ("feature-quality", po::value<float>(&featureQuality), "quality level of the good features to track") - ("min-feature-distanceklt", po::value<float>(&minFeatureDistanceKLT), "minimum distance between features") - ("window-size", po::value<int>(&windowSize), "size of the search window at each pyramid level") + ("max-nfeatures", po::value<int>(&maxNFeatures), "maximum number of features added at each frame (1000s)") + ("feature-quality", po::value<float>(&featureQuality), "quality level of the good features to track (]0. 1?])") + ("min-feature-distanceklt", po::value<float>(&minFeatureDistanceKLT), "minimum distance between features (]0. 10?])") + ("block-size", po::value<int>(&blockSize), "size of the block for feature characteristics ([1 ?])") ("use-harris-detector", po::value<bool>(&useHarrisDetector), "use of Harris corner detector") ("k", po::value<float>(&k), "k parameter to detect good features to track (OpenCV)") - ("pyramid-level", po::value<int>(&pyramidLevel), "maximal pyramid level in the feature tracking algorithm") - ("ndisplacements", po::value<unsigned int>(&nDisplacements), "number of displacement to test minimum feature motion") - ("min-feature-displacement", po::value<float>(&minFeatureDisplacement), "minimum displacement to keep features") - ("acceleration-bound", po::value<float>(&accelerationBound), "maximum feature acceleration") - ("deviation-bound", po::value<float>(&deviationBound), "maximum feature deviation") - ("smoothing-halfwidth", po::value<int>(&nFramesSmoothing), "number of frames to smooth positions (half window)") - ("max-number-iterations", po::value<int>(&maxNumberTrackingIterations), "maximum number of iterations to stop feature tracking") - ("min-tracking-error", po::value<float>(&minTrackingError), "minimum error to reach to stop feature tracking") - ("min-feature-eig-threshold", po::value<float>(&minFeatureEigThreshold)->default_value(1e-4), "minimum eigen value of a 2x2 normal matrix of optical flow equations") - ("min-feature-time", po::value<unsigned int>(&minFeatureTime), "minimum length of a feature (number of frames) to consider a feature for grouping") - ("mm-connection-distance", po::value<float>(&mmConnectionDistance), "connection distance in feature grouping") - ("mm-segmentation-distance", po::value<float>(&mmSegmentationDistance), "segmentation distance in feature grouping") - ("max-distance", po::value<float>(&maxDistance), "maximum distance between features for grouping") - ("min-velocity-cosine", po::value<float>(&minVelocityCosine), "minimum cosine of the angle between the velocity vectors for grouping") - ("min-nfeatures-group", po::value<float>(&minNFeaturesPerGroup), "minimum average number of features per frame to create a vehicle hypothesis") + ("window-size", po::value<int>(&windowSize), "size of the search window at each pyramid level ([1 ?])") + ("pyramid-level", po::value<int>(&pyramidLevel), "maximal pyramid level in the feature tracking algorithm ([0 maxLevel=5?])") + ("ndisplacements", po::value<unsigned int>(&nDisplacements), "number of displacements to test minimum feature motion ([2 4])") + ("min-feature-displacement", po::value<float>(&minFeatureDisplacement), "minimum displacement per frame (in world space) to keep features (]0. 0.1?])") + ("acceleration-bound", po::value<float>(&accelerationBound), "maximum feature acceleration (]1 3+])") + ("deviation-bound", po::value<float>(&deviationBound), "maximum feature deviation (on cosine) (]0 1])") + ("smoothing-halfwidth", po::value<int>(&nFramesSmoothing), "number of frames to smooth positions (half window) ([0 inf[") + ("max-number-iterations", po::value<int>(&maxNumberTrackingIterations), "maximum number of iterations to stop optical flow (20-30?)") + ("min-tracking-error", po::value<float>(&minTrackingError), "minimum error to reach to stop optical flow (0.3-0.01)") + ("min-feature-eig-threshold", po::value<float>(&minFeatureEigThreshold)->default_value(1e-4), "minimum eigen value of a 2x2 normal matrix of optical flow equations (10^-4)") + ("min-feature-time", po::value<unsigned int>(&minFeatureTime), "minimum length of a feature (number of frames) to consider a feature for grouping [5 20+]") + ("mm-connection-distance", po::value<float>(&mmConnectionDistance), "connection distance in feature grouping (in world space) (ped: [0.5m 2m+], cars: [1.7m 4m+])") + ("mm-segmentation-distance", po::value<float>(&mmSegmentationDistance), "segmentation distance in feature grouping (in world space) (< mm-connection-distance, empirically ~ mm-connection-distance / 2.5)") + ("max-distance", po::value<float>(&maxDistance), "maximum distance between features for grouping (in world space) (unused)") + ("min-velocity-cosine", po::value<float>(&minVelocityCosine), "minimum cosine of the angle between the velocity vectors for grouping (unused)") + ("min-nfeatures-group", po::value<float>(&minNFeaturesPerGroup), "minimum average number of features per frame to create a vehicle hypothesis (]1 3+])") // ("max-uturn-cosine", po::value<float>(&maxUTurnCosine), "maximum cosine value to detect U-turn") // ("nframes-avoid-uturn", po::value<int>(&nFramesAvoidUTurn), "number of frames over which a feature should not make a U-turn") // Safety Analysis