├── .gitignore ├── 3rd_party ├── DP_NMS │ ├── build_graph.m │ ├── calc_overlap.m │ ├── cs2_func.m │ ├── evaluateTracking_15.m │ ├── globals.m │ ├── main.m │ ├── nms_aggressive.m │ ├── sub.m │ ├── tracking_dp.m │ ├── tracking_push_relabel.m │ └── write_tracking_results.m ├── Hungarian │ ├── assignment.h │ ├── assignment.html │ ├── assignmentallpossible.m │ ├── assignmentoptimal.c │ ├── assignmentoptimal.m │ ├── assignmentoptimal.mexa64 │ ├── assignmentsuboptimal1.c │ ├── assignmentsuboptimal1.m │ ├── assignmentsuboptimal1.mexa64 │ ├── assignmentsuboptimal2.c │ ├── assignmentsuboptimal2.m │ ├── assignmentsuboptimal2.mexa64 │ ├── license.txt │ └── testassignment.m ├── L1APG │ ├── APGLASSOup.m │ ├── IMGaffine_c.c │ ├── IMGaffine_c.mexa64 │ ├── InitTemplates.m │ ├── L1APG_initialize.m │ ├── L1APG_reconstruction_error.m │ ├── L1APG_track_frame.m │ ├── L1APG_update.m │ ├── aff2image.m │ ├── corner2image.m │ ├── corners2affine.m │ ├── crop_candidates.m │ ├── drawAffine.m │ ├── draw_sample.m │ ├── images_angle.m │ ├── normalizeTemplates.m │ ├── resample.m │ ├── showTemplates.m │ ├── track_YOUTUBE.m │ └── whitening.m ├── cs2 │ ├── copyright.txt │ ├── cs2mex.c │ └── cs2mex.mexa64 └── libsvm-3.20 │ ├── COPYRIGHT │ ├── FAQ.html │ ├── Makefile │ ├── Makefile.win │ ├── README │ ├── heart_scale │ ├── matlab │ ├── Makefile │ ├── README │ ├── libsvmread.c │ ├── libsvmread.mexa64 │ ├── libsvmwrite.c │ ├── libsvmwrite.mexa64 │ ├── make.m │ ├── svm_model_matlab.c │ ├── svm_model_matlab.h │ ├── svmpredict.c │ ├── svmpredict.mexa64 │ ├── svmtrain.c │ └── svmtrain.mexa64 │ ├── python │ ├── Makefile │ ├── README │ ├── svm.py │ └── svmutil.py │ ├── svm-predict.c │ ├── svm-scale.c │ ├── svm-train.c │ ├── svm.cpp │ ├── svm.def │ ├── svm.h │ └── tools │ ├── README │ ├── checkdata.py │ ├── easy.py │ ├── grid.py │ └── subset.py ├── DMAN.png ├── DMAN_demo.m ├── ECO ├── LICENSE ├── README.md ├── VOT_integration │ ├── benchmark_wrapper │ │ ├── benchmark_tracker_wrapper.m │ │ ├── setup_tracker_paths.m │ │ ├── vot_initialize.m │ │ └── vot_quit.m │ └── configuration_file │ │ └── tracker_ECO.m ├── demo_ECO.m ├── demo_ECO_HC.m ├── external_libs │ ├── mexResize │ │ ├── MxArray.cpp │ │ ├── MxArray.hpp │ │ ├── compile.m │ │ ├── libopencv_core.a │ │ ├── libopencv_imgproc.a │ │ ├── mexResize.cpp │ │ ├── mexResize.mexw64 │ │ ├── opencv2 │ │ │ ├── core │ │ │ │ ├── core.hpp │ │ │ │ ├── core_c.h │ │ │ │ ├── devmem2d.hpp │ │ │ │ ├── eigen.hpp │ │ │ │ ├── gpumat.hpp │ │ │ │ ├── internal.hpp │ │ │ │ ├── mat.hpp │ │ │ │ ├── opengl_interop.hpp │ │ │ │ ├── operations.hpp │ │ │ │ ├── types_c.h │ │ │ │ ├── version.hpp │ │ │ │ └── wimage.hpp │ │ │ ├── features2d │ │ │ │ └── features2d.hpp │ │ │ ├── flann │ │ │ │ ├── all_indices.h │ │ │ │ ├── allocator.h │ │ │ │ ├── any.h │ │ │ │ ├── autotuned_index.h │ │ │ │ ├── composite_index.h │ │ │ │ ├── config.h │ │ │ │ ├── defines.h │ │ │ │ ├── dist.h │ │ │ │ ├── dummy.h │ │ │ │ ├── dynamic_bitset.h │ │ │ │ ├── flann.hpp │ │ │ │ ├── flann_base.hpp │ │ │ │ ├── general.h │ │ │ │ ├── ground_truth.h │ │ │ │ ├── hdf5.h │ │ │ │ ├── heap.h │ │ │ │ ├── hierarchical_clustering_index.h │ │ │ │ ├── index_testing.h │ │ │ │ ├── kdtree_index.h │ │ │ │ ├── kdtree_single_index.h │ │ │ │ ├── kmeans_index.h │ │ │ │ ├── linear_index.h │ │ │ │ ├── logger.h │ │ │ │ ├── lsh_index.h │ │ │ │ ├── lsh_table.h │ │ │ │ ├── matrix.h │ │ │ │ ├── miniflann.hpp │ │ │ │ ├── nn_index.h │ │ │ │ ├── object_factory.h │ │ │ │ ├── params.h │ │ │ │ ├── random.h │ │ │ │ ├── result_set.h │ │ │ │ ├── sampling.h │ │ │ │ ├── saving.h │ │ │ │ ├── simplex_downhill.h │ │ │ │ └── timer.h │ │ │ ├── imgproc │ │ │ │ ├── imgproc.hpp │ │ │ │ ├── imgproc_c.h │ │ │ │ └── types_c.h │ │ │ ├── opencv.hpp │ │ │ └── opencv_modules.hpp │ │ ├── opencv_core242.dll │ │ ├── opencv_core242.lib │ │ ├── opencv_imgproc242.dll │ │ └── opencv_imgproc242.lib │ ├── mtimesx │ │ ├── license.txt │ │ ├── mtimesx.c │ │ ├── mtimesx.m │ │ ├── mtimesx_RealTimesReal.c │ │ ├── mtimesx_build.m │ │ ├── mtimesx_sparse.m │ │ ├── mtimesx_test_ddequal.m │ │ ├── mtimesx_test_ddspeed.m │ │ ├── mtimesx_test_dsequal.m │ │ ├── mtimesx_test_dsspeed.m │ │ ├── mtimesx_test_nd.m │ │ ├── mtimesx_test_sdequal.m │ │ ├── mtimesx_test_sdspeed.m │ │ ├── mtimesx_test_ssequal.m │ │ └── mtimesx_test_ssspeed.m │ └── pdollar_toolbox │ │ ├── .gitignore │ │ ├── README.md │ │ ├── channels │ │ ├── Contents.m │ │ ├── chnsCompute.m │ │ ├── chnsPyramid.m │ │ ├── chnsScaling.m │ │ ├── convBox.m │ │ ├── convMax.m │ │ ├── convTri.m │ │ ├── fhog.m │ │ ├── gradient2.m │ │ ├── gradientHist.m │ │ ├── gradientMag.m │ │ ├── hog.m │ │ ├── hogDraw.m │ │ ├── imPad.m │ │ ├── imResample.m │ │ ├── private │ │ │ ├── chnsTestCpp.cpp │ │ │ ├── convConst.cpp │ │ │ ├── convConst.mexmaci64 │ │ │ ├── convConst.mexw64 │ │ │ ├── gradientMex.cpp │ │ │ ├── gradientMex.mexmaci64 │ │ │ ├── gradientMex.mexw64 │ │ │ ├── gradientMexNew.mexmaci64 │ │ │ ├── imPadMex.cpp │ │ │ ├── imPadMex.mexmaci64 │ │ │ ├── imPadMex.mexw64 │ │ │ ├── imResampleMex.cpp │ │ │ ├── imResampleMex.mexmaci64 │ │ │ ├── imResampleMex.mexw64 │ │ │ ├── rgbConvertMex.cpp │ │ │ ├── rgbConvertMex.mexmaci64 │ │ │ ├── rgbConvertMex.mexw64 │ │ │ ├── sse.hpp │ │ │ └── wrappers.hpp │ │ └── rgbConvert.m │ │ ├── classify │ │ ├── Contents.m │ │ ├── adaBoostApply.m │ │ ├── adaBoostTrain.m │ │ ├── binaryTreeApply.m │ │ ├── binaryTreeTrain.m │ │ ├── confMatrix.m │ │ ├── confMatrixShow.m │ │ ├── demoCluster.m │ │ ├── demoGenData.m │ │ ├── distMatrixShow.m │ │ ├── fernsClfApply.m │ │ ├── fernsClfTrain.m │ │ ├── fernsInds.m │ │ ├── fernsRegApply.m │ │ ├── fernsRegTrain.m │ │ ├── forestApply.m │ │ ├── forestTrain.m │ │ ├── kmeans2.m │ │ ├── meanShift.m │ │ ├── meanShiftIm.m │ │ ├── meanShiftImExplore.m │ │ ├── pca.m │ │ ├── pcaApply.m │ │ ├── pcaData.mat │ │ ├── pcaRandVec.m │ │ ├── pcaVisualize.m │ │ ├── pdist2.m │ │ ├── private │ │ │ ├── IDX2order.m │ │ │ ├── binaryTreeTrain1.cpp │ │ │ ├── binaryTreeTrain1.mexmaci64 │ │ │ ├── binaryTreeTrain1.mexw64 │ │ │ ├── fernsInds1.c │ │ │ ├── fernsInds1.mexmaci64 │ │ │ ├── fernsInds1.mexw64 │ │ │ ├── forestFindThr.cpp │ │ │ ├── forestFindThr.mexmaci64 │ │ │ ├── forestFindThr.mexw64 │ │ │ ├── forestInds.cpp │ │ │ ├── forestInds.mexmaci64 │ │ │ ├── forestInds.mexw64 │ │ │ ├── meanShift1.c │ │ │ ├── meanShift1.mexmaci64 │ │ │ ├── meanShift1.mexw64 │ │ │ └── meanShiftPost.m │ │ ├── rbfComputeBasis.m │ │ ├── rbfComputeFtrs.m │ │ ├── rbfDemo.m │ │ ├── softMin.m │ │ └── visualizeData.m │ │ ├── detector │ │ ├── Contents.m │ │ ├── acfDemoCal.m │ │ ├── acfDemoInria.m │ │ ├── acfDetect.m │ │ ├── acfModify.m │ │ ├── acfReadme.m │ │ ├── acfSweeps.m │ │ ├── acfTest.m │ │ ├── acfTrain.m │ │ ├── bbApply.m │ │ ├── bbGt.m │ │ ├── bbLabeler.m │ │ ├── bbNms.m │ │ ├── models │ │ │ ├── AcfCaltech+Detector.mat │ │ │ ├── AcfCaltech+Log.txt │ │ │ ├── AcfCaltech+Roc.png │ │ │ ├── AcfInriaDetector.mat │ │ │ ├── AcfInriaLog.txt │ │ │ ├── AcfInriaRoc.png │ │ │ ├── LdcfCaltechDetector.mat │ │ │ ├── LdcfCaltechLog.txt │ │ │ ├── LdcfCaltechRoc.png │ │ │ ├── LdcfInriaDetector.mat │ │ │ ├── LdcfInriaLog.txt │ │ │ └── LdcfInriaRoc.png │ │ └── private │ │ │ ├── acfDetect1.cpp │ │ │ ├── acfDetect1.mexmaci64 │ │ │ └── acfDetect1.mexw64 │ │ ├── doc │ │ ├── alpha.png │ │ ├── c++.png │ │ ├── c.png │ │ ├── channels │ │ │ ├── Contents.html │ │ │ ├── chnsCompute.html │ │ │ ├── chnsPyramid.html │ │ │ ├── chnsScaling.html │ │ │ ├── convBox.html │ │ │ ├── convMax.html │ │ │ ├── convTri.html │ │ │ ├── fhog.html │ │ │ ├── gradient2.html │ │ │ ├── gradientHist.html │ │ │ ├── gradientMag.html │ │ │ ├── hog.html │ │ │ ├── hogDraw.html │ │ │ ├── imPad.html │ │ │ ├── imResample.html │ │ │ ├── menu.html │ │ │ └── rgbConvert.html │ │ ├── classify │ │ │ ├── Contents.html │ │ │ ├── adaBoostApply.html │ │ │ ├── adaBoostTrain.html │ │ │ ├── binaryTreeApply.html │ │ │ ├── binaryTreeTrain.html │ │ │ ├── confMatrix.html │ │ │ ├── confMatrixShow.html │ │ │ ├── demoCluster.html │ │ │ ├── demoGenData.html │ │ │ ├── distMatrixShow.html │ │ │ ├── fernsClfApply.html │ │ │ ├── fernsClfTrain.html │ │ │ ├── fernsInds.html │ │ │ ├── fernsRegApply.html │ │ │ ├── fernsRegTrain.html │ │ │ ├── forestApply.html │ │ │ ├── forestTrain.html │ │ │ ├── kmeans2.html │ │ │ ├── meanShift.html │ │ │ ├── meanShiftIm.html │ │ │ ├── meanShiftImExplore.html │ │ │ ├── menu.html │ │ │ ├── pca.html │ │ │ ├── pcaApply.html │ │ │ ├── pcaRandVec.html │ │ │ ├── pcaVisualize.html │ │ │ ├── pdist2.html │ │ │ ├── rbfComputeBasis.html │ │ │ ├── rbfComputeFtrs.html │ │ │ ├── rbfDemo.html │ │ │ ├── softMin.html │ │ │ └── visualizeData.html │ │ ├── demoicon.gif │ │ ├── detector │ │ │ ├── Contents.html │ │ │ ├── acfDemoCal.html │ │ │ ├── acfDemoInria.html │ │ │ ├── acfDetect.html │ │ │ ├── acfModify.html │ │ │ ├── acfReadme.html │ │ │ ├── acfSweeps.html │ │ │ ├── acfTest.html │ │ │ ├── acfTrain.html │ │ │ ├── bbApply.html │ │ │ ├── bbGt.html │ │ │ ├── bbLabeler.html │ │ │ ├── bbNms.html │ │ │ └── menu.html │ │ ├── down.png │ │ ├── favicon.ico │ │ ├── filters │ │ │ ├── Contents.html │ │ │ ├── FbApply2d.html │ │ │ ├── FbCrop.html │ │ │ ├── FbMake.html │ │ │ ├── FbReconstruct2d.html │ │ │ ├── FbVisualize.html │ │ │ ├── filterBinomial1d.html │ │ │ ├── filterDog2d.html │ │ │ ├── filterDoog.html │ │ │ ├── filterGabor1d.html │ │ │ ├── filterGabor2d.html │ │ │ ├── filterGauss.html │ │ │ ├── filterSteerable.html │ │ │ ├── filterVisualize.html │ │ │ ├── medfilt1m.html │ │ │ ├── menu.html │ │ │ └── modefilt1.html │ │ ├── fortran.png │ │ ├── history.txt │ │ ├── hp.png │ │ ├── images │ │ │ ├── Contents.html │ │ │ ├── assignToBins.html │ │ │ ├── clusterMontage.html │ │ │ ├── convnFast.html │ │ │ ├── filmStrip.html │ │ │ ├── gaussSmooth.html │ │ │ ├── histMontage.html │ │ │ ├── histc2.html │ │ │ ├── histcImLoc.html │ │ │ ├── histcImWin.html │ │ │ ├── im.html │ │ │ ├── imMlGauss.html │ │ │ ├── imNormalize.html │ │ │ ├── imRectRot.html │ │ │ ├── imShrink.html │ │ │ ├── imtransform2.html │ │ │ ├── imwrite2.html │ │ │ ├── jitterImage.html │ │ │ ├── localSum.html │ │ │ ├── makeGif.html │ │ │ ├── maskCircle.html │ │ │ ├── maskEllipse.html │ │ │ ├── maskGaussians.html │ │ │ ├── maskSphere.html │ │ │ ├── menu.html │ │ │ ├── montage2.html │ │ │ ├── movieToImages.html │ │ │ ├── nonMaxSupr.html │ │ │ ├── nonMaxSuprList.html │ │ │ ├── nonMaxSuprWin.html │ │ │ ├── normxcorrn.html │ │ │ ├── playMovie.html │ │ │ ├── textureMap.html │ │ │ ├── xcorrn.html │ │ │ └── xeucn.html │ │ ├── index.html │ │ ├── left.png │ │ ├── linux.png │ │ ├── m2html.css │ │ ├── matlab │ │ │ ├── Contents.html │ │ │ ├── arrayCrop.html │ │ │ ├── arrayToDims.html │ │ │ ├── c.html │ │ │ ├── cc.html │ │ │ ├── ccc.html │ │ │ ├── cell2array.html │ │ │ ├── char2img.html │ │ │ ├── checkNumArgs.html │ │ │ ├── dijkstra.html │ │ │ ├── dirSynch.html │ │ │ ├── diskFill.html │ │ │ ├── dispMatrixIm.html │ │ │ ├── fevalArrays.html │ │ │ ├── fevalDistr.html │ │ │ ├── fevalDistrDisk.html │ │ │ ├── fevalImages.html │ │ │ ├── fevalMats.html │ │ │ ├── figureResized.html │ │ │ ├── gauss2ellipse.html │ │ │ ├── getPrmDflt.html │ │ │ ├── imLabel.html │ │ │ ├── ind2sub2.html │ │ │ ├── int2str2.html │ │ │ ├── isfield2.html │ │ │ ├── mat2cell2.html │ │ │ ├── medianw.html │ │ │ ├── menu.html │ │ │ ├── multiDiv.html │ │ │ ├── multiTimes.html │ │ │ ├── normpdf2.html │ │ │ ├── num2strs.html │ │ │ ├── plotEllipse.html │ │ │ ├── plotGaussEllipses.html │ │ │ ├── plotRoc.html │ │ │ ├── randSample.html │ │ │ ├── randint2.html │ │ │ ├── rotationMatrix.html │ │ │ ├── simpleCache.html │ │ │ ├── spBlkDiag.html │ │ │ ├── sub2ind2.html │ │ │ ├── subsToArray.html │ │ │ ├── text2.html │ │ │ ├── ticStatus.html │ │ │ ├── tocStatus.html │ │ │ ├── tpsGetWarp.html │ │ │ ├── tpsInterpolate.html │ │ │ ├── tpsInterpolateIm.html │ │ │ ├── tpsRandom.html │ │ │ ├── txt2img.html │ │ │ └── uniqueColors.html │ │ ├── matlabicon.gif │ │ ├── menu.html │ │ ├── mex.png │ │ ├── new.gif │ │ ├── overview.html │ │ ├── right.png │ │ ├── sgi.png │ │ ├── simulinkicon.gif │ │ ├── solaris.png │ │ ├── up.png │ │ ├── videos │ │ │ ├── Contents.html │ │ │ ├── behaviorAnnotator.html │ │ │ ├── behaviorData.html │ │ │ ├── imagesAlign.html │ │ │ ├── imagesAlignSeq.html │ │ │ ├── kernelTracker.html │ │ │ ├── menu.html │ │ │ ├── opticalFlow.html │ │ │ ├── seqIo.html │ │ │ ├── seqPlayer.html │ │ │ ├── seqReaderPlugin.html │ │ │ └── seqWriterPlugin.html │ │ └── windows.png │ │ ├── external │ │ ├── bsd.txt │ │ ├── deprecated │ │ │ ├── apply_homography.m │ │ │ ├── clfData.mat │ │ │ ├── clfDecTree.m │ │ │ ├── clfDecTreeFwd.m │ │ │ ├── clfDecTreeTrain.m │ │ │ ├── clfEcoc.m │ │ │ ├── clfEcocCode.m │ │ │ ├── clfKnn.m │ │ │ ├── clfKnnDist.m │ │ │ ├── clfKnnFwd.m │ │ │ ├── clfKnnTrain.m │ │ │ ├── clfLda.m │ │ │ ├── clfLdaFwd.m │ │ │ ├── clfLdaTrain.m │ │ │ ├── clfSvm.m │ │ │ ├── demoClassify.m │ │ │ ├── diffTracker.m │ │ │ ├── filter_gauss_1D.m │ │ │ ├── getargs.m │ │ │ ├── imRectLite.m │ │ │ ├── imSubsResize.m │ │ │ ├── imrotate2.m │ │ │ ├── imtranslate.m │ │ │ ├── imwrite2split.m │ │ │ ├── localsum_block.m │ │ │ ├── makemovie.m │ │ │ ├── mode2.m │ │ │ ├── montages2.m │ │ │ ├── nfoldxval.m │ │ │ ├── normxcorrn_fg.m │ │ │ ├── pca_apply.m │ │ │ ├── pca_apply_large.m │ │ │ ├── playmovies.m │ │ │ ├── randperm2.m │ │ │ └── subsampleMatrix.m │ │ ├── history.txt │ │ ├── m2html │ │ │ ├── @template │ │ │ │ ├── char.m │ │ │ │ ├── display.m │ │ │ │ ├── get.m │ │ │ │ ├── parse.m │ │ │ │ ├── private │ │ │ │ │ ├── finish.m │ │ │ │ │ ├── loadtpl.m │ │ │ │ │ └── subst.m │ │ │ │ ├── set.m │ │ │ │ └── template.m │ │ │ ├── Changelog │ │ │ ├── Contents.m │ │ │ ├── GPL │ │ │ ├── INSTALL │ │ │ ├── LICENSE │ │ │ ├── README │ │ │ ├── TODO │ │ │ ├── m2html.m │ │ │ ├── mdot.m │ │ │ ├── mwizard.m │ │ │ ├── mwizard2.m │ │ │ ├── private │ │ │ │ ├── doxyread.m │ │ │ │ ├── doxysearch.m │ │ │ │ ├── doxywrite.m │ │ │ │ ├── m2htmltoolbarimages.mat │ │ │ │ ├── mexexts.m │ │ │ │ ├── mfileparse.m │ │ │ │ ├── openfile.m │ │ │ │ ├── searchindex.m │ │ │ │ ├── splitcode.m │ │ │ │ └── strtok.m │ │ │ └── templates │ │ │ │ ├── blue │ │ │ │ ├── Thumbs.db │ │ │ │ ├── alpha.png │ │ │ │ ├── c++.png │ │ │ │ ├── c.png │ │ │ │ ├── demoicon.gif │ │ │ │ ├── down.png │ │ │ │ ├── doxysearch.php │ │ │ │ ├── fortran.png │ │ │ │ ├── graph.tpl │ │ │ │ ├── hp.png │ │ │ │ ├── left.png │ │ │ │ ├── linux.png │ │ │ │ ├── m2html.css │ │ │ │ ├── master.tpl │ │ │ │ ├── matlabicon.gif │ │ │ │ ├── mdir.tpl │ │ │ │ ├── mex.png │ │ │ │ ├── mfile.tpl │ │ │ │ ├── pcode.png │ │ │ │ ├── right.png │ │ │ │ ├── search.tpl │ │ │ │ ├── sgi.png │ │ │ │ ├── simulinkicon.gif │ │ │ │ ├── solaris.png │ │ │ │ ├── todo.tpl │ │ │ │ ├── up.png │ │ │ │ └── windows.png │ │ │ │ ├── brain │ │ │ │ ├── alpha.png │ │ │ │ ├── brain.png │ │ │ │ ├── c++.png │ │ │ │ ├── c.png │ │ │ │ ├── demoicon.gif │ │ │ │ ├── down.png │ │ │ │ ├── doxysearch.php │ │ │ │ ├── fortran.png │ │ │ │ ├── graph.tpl │ │ │ │ ├── hp.png │ │ │ │ ├── index.html │ │ │ │ ├── left.png │ │ │ │ ├── linux.png │ │ │ │ ├── m2html.css │ │ │ │ ├── master.tpl │ │ │ │ ├── matlabicon.gif │ │ │ │ ├── mdir.tpl │ │ │ │ ├── menu.css │ │ │ │ ├── mex.png │ │ │ │ ├── mfile.tpl │ │ │ │ ├── pcode.png │ │ │ │ ├── right.png │ │ │ │ ├── search.tpl │ │ │ │ ├── sgi.png │ │ │ │ ├── simulinkicon.gif │ │ │ │ ├── solaris.png │ │ │ │ ├── todo.tpl │ │ │ │ ├── up.png │ │ │ │ └── windows.png │ │ │ │ ├── frame-piotr │ │ │ │ ├── alpha.png │ │ │ │ ├── c++.png │ │ │ │ ├── c.png │ │ │ │ ├── demoicon.gif │ │ │ │ ├── down.png │ │ │ │ ├── favicon.ico │ │ │ │ ├── fortran.png │ │ │ │ ├── graph.tpl │ │ │ │ ├── hp.png │ │ │ │ ├── index.html │ │ │ │ ├── left.png │ │ │ │ ├── linux.png │ │ │ │ ├── m2html.css │ │ │ │ ├── master.tpl │ │ │ │ ├── matlabicon.gif │ │ │ │ ├── mdir.tpl │ │ │ │ ├── mex.png │ │ │ │ ├── mfile.tpl │ │ │ │ ├── new.gif │ │ │ │ ├── overview.html │ │ │ │ ├── right.png │ │ │ │ ├── sgi.png │ │ │ │ ├── simulinkicon.gif │ │ │ │ ├── solaris.png │ │ │ │ ├── todo.tpl │ │ │ │ ├── up.png │ │ │ │ └── windows.png │ │ │ │ ├── frame │ │ │ │ ├── alpha.png │ │ │ │ ├── c++.png │ │ │ │ ├── c.png │ │ │ │ ├── demoicon.gif │ │ │ │ ├── down.png │ │ │ │ ├── doxysearch.php │ │ │ │ ├── fortran.png │ │ │ │ ├── graph.tpl │ │ │ │ ├── hp.png │ │ │ │ ├── index.html │ │ │ │ ├── left.png │ │ │ │ ├── linux.png │ │ │ │ ├── m2html.css │ │ │ │ ├── master.tpl │ │ │ │ ├── matlabicon.gif │ │ │ │ ├── mdir.tpl │ │ │ │ ├── mex.png │ │ │ │ ├── mfile.tpl │ │ │ │ ├── pcode.png │ │ │ │ ├── right.png │ │ │ │ ├── search.tpl │ │ │ │ ├── sgi.png │ │ │ │ ├── simulinkicon.gif │ │ │ │ ├── solaris.png │ │ │ │ ├── todo.tpl │ │ │ │ ├── up.png │ │ │ │ └── windows.png │ │ │ │ └── menu-for-frame-piotr.html │ │ ├── other │ │ │ ├── compareStructs.m │ │ │ ├── matrix2latex.m │ │ │ ├── multiprod.m │ │ │ └── savefig.m │ │ ├── toolboxCompile.m │ │ ├── toolboxGenDoc.m │ │ ├── toolboxHeader.m │ │ └── toolboxUpdateHeader.m │ │ ├── filters │ │ ├── Contents.m │ │ ├── FbApply2d.m │ │ ├── FbCrop.m │ │ ├── FbDoG.mat │ │ ├── FbGabor.mat │ │ ├── FbMake.m │ │ ├── FbReconstruct2d.m │ │ ├── FbVisualize.m │ │ ├── filterBinomial1d.m │ │ ├── filterDog2d.m │ │ ├── filterDoog.m │ │ ├── filterGabor1d.m │ │ ├── filterGabor2d.m │ │ ├── filterGauss.m │ │ ├── filterSteerable.m │ │ ├── filterVisualize.m │ │ ├── medfilt1m.m │ │ └── modefilt1.m │ │ ├── images │ │ ├── Contents.m │ │ ├── assignToBins.m │ │ ├── clusterMontage.m │ │ ├── convnFast.m │ │ ├── filmStrip.m │ │ ├── gaussSmooth.m │ │ ├── histMontage.m │ │ ├── histc2.m │ │ ├── histcImLoc.m │ │ ├── histcImWin.m │ │ ├── im.m │ │ ├── imMlGauss.m │ │ ├── imNormalize.m │ │ ├── imRectRot.m │ │ ├── imShrink.m │ │ ├── images.mat │ │ ├── imtransform2.m │ │ ├── imwrite2.m │ │ ├── jitterImage.m │ │ ├── localSum.m │ │ ├── makeGif.m │ │ ├── maskCircle.m │ │ ├── maskEllipse.m │ │ ├── maskGaussians.m │ │ ├── maskSphere.m │ │ ├── montage2.m │ │ ├── movieToImages.m │ │ ├── nonMaxSupr.m │ │ ├── nonMaxSuprList.m │ │ ├── nonMaxSuprWin.m │ │ ├── normxcorrn.m │ │ ├── playMovie.m │ │ ├── private │ │ │ ├── assignToBins1.c │ │ │ ├── assignToBins1.mexmaci64 │ │ │ ├── assignToBins1.mexw64 │ │ │ ├── histc2c.c │ │ │ ├── histc2c.mexmaci64 │ │ │ ├── histc2c.mexw64 │ │ │ ├── imtransform2_c.c │ │ │ ├── imtransform2_c.mexmaci64 │ │ │ ├── imtransform2_c.mexw64 │ │ │ ├── nlfiltersep.m │ │ │ ├── nlfiltersep_max.c │ │ │ ├── nlfiltersep_max.mexmaci64 │ │ │ ├── nlfiltersep_max.mexw64 │ │ │ ├── nlfiltersep_sum.c │ │ │ ├── nlfiltersep_sum.mexmaci64 │ │ │ └── nlfiltersep_sum.mexw64 │ │ ├── textureMap.m │ │ ├── xcorrn.m │ │ └── xeucn.m │ │ ├── matlab │ │ ├── Contents.m │ │ ├── arrayCrop.m │ │ ├── arrayToDims.m │ │ ├── c.m │ │ ├── cc.m │ │ ├── ccc.m │ │ ├── cell2array.m │ │ ├── char2img.m │ │ ├── checkNumArgs.m │ │ ├── dijkstra.m │ │ ├── dirSynch.m │ │ ├── diskFill.m │ │ ├── dispMatrixIm.m │ │ ├── fevalArrays.m │ │ ├── fevalDistr.m │ │ ├── fevalDistrDisk.m │ │ ├── fevalImages.m │ │ ├── fevalMats.m │ │ ├── figureResized.m │ │ ├── gauss2ellipse.m │ │ ├── getPrmDflt.m │ │ ├── imLabel.m │ │ ├── ind2sub2.m │ │ ├── int2str2.m │ │ ├── isfield2.m │ │ ├── mat2cell2.m │ │ ├── medianw.m │ │ ├── multiDiv.m │ │ ├── multiTimes.m │ │ ├── normpdf2.m │ │ ├── num2strs.m │ │ ├── plotEllipse.m │ │ ├── plotGaussEllipses.m │ │ ├── plotRoc.m │ │ ├── private │ │ │ ├── char2img_h015.mat │ │ │ ├── char2img_h020.mat │ │ │ ├── char2img_h025.mat │ │ │ ├── char2img_h030.mat │ │ │ ├── char2img_h035.mat │ │ │ ├── char2img_h050.mat │ │ │ ├── dijkstra1.cpp │ │ │ ├── dijkstra1.mexmaci64 │ │ │ ├── dijkstra1.mexw64 │ │ │ ├── fibheap.cpp │ │ │ └── fibheap.h │ │ ├── randSample.m │ │ ├── randint2.m │ │ ├── rotationMatrix.m │ │ ├── simpleCache.m │ │ ├── spBlkDiag.m │ │ ├── sub2ind2.m │ │ ├── subsToArray.m │ │ ├── text2.m │ │ ├── ticStatus.m │ │ ├── tocStatus.m │ │ ├── tpsGetWarp.m │ │ ├── tpsInterpolate.m │ │ ├── tpsInterpolateIm.m │ │ ├── tpsRandom.m │ │ ├── txt2img.m │ │ └── uniqueColors.m │ │ └── videos │ │ ├── Contents.m │ │ ├── behaviorAnnotator.m │ │ ├── behaviorData.m │ │ ├── imagesAlign.m │ │ ├── imagesAlignSeq.m │ │ ├── kernelTracker.m │ │ ├── opticalFlow.m │ │ ├── opticalFlowTest.mat │ │ ├── peds30-seek.mat │ │ ├── peds30.seq │ │ ├── private │ │ ├── ktComputeW_c.c │ │ ├── ktComputeW_c.mexmaci64 │ │ ├── ktComputeW_c.mexw64 │ │ ├── ktHistcRgb_c.c │ │ ├── ktHistcRgb_c.mexmaci64 │ │ ├── ktHistcRgb_c.mexw64 │ │ ├── opticalFlowHsMex.cpp │ │ ├── opticalFlowHsMex.mexmaci64 │ │ └── opticalFlowHsMex.mexw64 │ │ ├── seqIo.m │ │ ├── seqPlayer.m │ │ ├── seqReaderPlugin.m │ │ └── seqWriterPlugin.m ├── feature_extraction │ ├── average_feature_region.m │ ├── extract_features.m │ ├── get_cnn_layers.m │ ├── get_colorspace.m │ ├── get_feature_extract_info.m │ ├── get_fhog.m │ ├── get_table_feature.m │ ├── init_features.m │ ├── integralVecImage.m │ ├── load_cnn.m │ ├── lookup_tables │ │ ├── CNnorm.mat │ │ ├── intensityChannelNorm11.mat │ │ ├── intensityChannelNorm16.mat │ │ └── intensityChannelNorm6.mat │ ├── sample_patch.m │ ├── set_cnn_input_size.m │ └── table_lookup.m ├── implementation │ ├── clustering │ │ ├── find_cluster_distances.m │ │ ├── merge_clusters.m │ │ ├── update_prior_weights.m │ │ └── update_score_matrix.m │ ├── conjugate_gradient │ │ ├── diag_precond.m │ │ ├── inner_product_cdcf.m │ │ ├── iterapp.m │ │ ├── iterchk.m │ │ ├── lhs_operation.m │ │ ├── lhs_operation_joint.m │ │ ├── my_lhs_operation.m │ │ ├── norm_cdcf.m │ │ └── pcg_ccot.m │ ├── dim_reduction │ │ └── project_sample.m │ ├── fourier_tools │ │ ├── cfft2.m │ │ ├── cifft2.m │ │ ├── compact_fourier_coeff.m │ │ ├── cubic_spline_fourier.m │ │ ├── full_fourier_coeff.m │ │ ├── resizeDFT.m │ │ ├── sample_fs.m │ │ ├── shift_sample.m │ │ └── symmetrize_filter.m │ ├── initialization │ │ ├── get_reg_filter.m │ │ ├── init_default_params.m │ │ └── init_feature_params.m │ ├── interpolation │ │ ├── get_interp_fourier.m │ │ └── interpolate_dft.m │ ├── localization │ │ └── optimize_scores.m │ ├── scale_filter │ │ ├── extract_scale_sample.m │ │ ├── feature_projection_scale.m │ │ ├── init_scale_filter.m │ │ ├── scale_filter_track.m │ │ └── scale_filter_update.m │ └── tracker.m ├── install.m ├── result_plots │ ├── OTB-2015_succsess_plot.pdf │ └── OTB-2015_succsess_plot.png ├── runfiles │ ├── OTB_DEEP_settings.m │ ├── OTB_HC_settings.m │ ├── VOT2016_DEEP_settings.m │ ├── VOT2016_HC_settings.m │ ├── testing_ECO.m │ └── testing_ECO_HC.m ├── sequences │ └── Crossing │ │ ├── groundtruth_rect.txt │ │ └── img │ │ ├── 0001.jpg │ │ ├── 0002.jpg │ │ ├── 0003.jpg │ │ ├── 0004.jpg │ │ ├── 0005.jpg │ │ ├── 0006.jpg │ │ ├── 0007.jpg │ │ ├── 0008.jpg │ │ ├── 0009.jpg │ │ ├── 0010.jpg │ │ ├── 0011.jpg │ │ ├── 0012.jpg │ │ ├── 0013.jpg │ │ ├── 0014.jpg │ │ ├── 0015.jpg │ │ ├── 0016.jpg │ │ ├── 0017.jpg │ │ ├── 0018.jpg │ │ ├── 0019.jpg │ │ ├── 0020.jpg │ │ ├── 0021.jpg │ │ ├── 0022.jpg │ │ ├── 0023.jpg │ │ ├── 0024.jpg │ │ ├── 0025.jpg │ │ ├── 0026.jpg │ │ ├── 0027.jpg │ │ ├── 0028.jpg │ │ ├── 0029.jpg │ │ ├── 0030.jpg │ │ ├── 0031.jpg │ │ ├── 0032.jpg │ │ ├── 0033.jpg │ │ ├── 0034.jpg │ │ ├── 0035.jpg │ │ ├── 0036.jpg │ │ ├── 0037.jpg │ │ ├── 0038.jpg │ │ ├── 0039.jpg │ │ ├── 0040.jpg │ │ ├── 0041.jpg │ │ ├── 0042.jpg │ │ ├── 0043.jpg │ │ ├── 0044.jpg │ │ ├── 0045.jpg │ │ ├── 0046.jpg │ │ ├── 0047.jpg │ │ ├── 0048.jpg │ │ ├── 0049.jpg │ │ ├── 0050.jpg │ │ ├── 0051.jpg │ │ ├── 0052.jpg │ │ ├── 0053.jpg │ │ ├── 0054.jpg │ │ ├── 0055.jpg │ │ ├── 0056.jpg │ │ ├── 0057.jpg │ │ ├── 0058.jpg │ │ ├── 0059.jpg │ │ ├── 0060.jpg │ │ ├── 0061.jpg │ │ ├── 0062.jpg │ │ ├── 0063.jpg │ │ ├── 0064.jpg │ │ ├── 0065.jpg │ │ ├── 0066.jpg │ │ ├── 0067.jpg │ │ ├── 0068.jpg │ │ ├── 0069.jpg │ │ ├── 0070.jpg │ │ ├── 0071.jpg │ │ ├── 0072.jpg │ │ ├── 0073.jpg │ │ ├── 0074.jpg │ │ ├── 0075.jpg │ │ ├── 0076.jpg │ │ ├── 0077.jpg │ │ ├── 0078.jpg │ │ ├── 0079.jpg │ │ ├── 0080.jpg │ │ ├── 0081.jpg │ │ ├── 0082.jpg │ │ ├── 0083.jpg │ │ ├── 0084.jpg │ │ ├── 0085.jpg │ │ ├── 0086.jpg │ │ ├── 0087.jpg │ │ ├── 0088.jpg │ │ ├── 0089.jpg │ │ ├── 0090.jpg │ │ ├── 0091.jpg │ │ ├── 0092.jpg │ │ ├── 0093.jpg │ │ ├── 0094.jpg │ │ ├── 0095.jpg │ │ ├── 0096.jpg │ │ ├── 0097.jpg │ │ ├── 0098.jpg │ │ ├── 0099.jpg │ │ ├── 0100.jpg │ │ ├── 0101.jpg │ │ ├── 0102.jpg │ │ ├── 0103.jpg │ │ ├── 0104.jpg │ │ ├── 0105.jpg │ │ ├── 0106.jpg │ │ ├── 0107.jpg │ │ ├── 0108.jpg │ │ ├── 0109.jpg │ │ ├── 0110.jpg │ │ ├── 0111.jpg │ │ ├── 0112.jpg │ │ ├── 0113.jpg │ │ ├── 0114.jpg │ │ ├── 0115.jpg │ │ ├── 0116.jpg │ │ ├── 0117.jpg │ │ ├── 0118.jpg │ │ ├── 0119.jpg │ │ └── 0120.jpg ├── setup_paths.m └── utils │ └── load_video_info.m ├── ECO_initialize.m ├── ECO_params.m ├── ECO_tracking.m ├── LICENSE ├── MOT_associate.m ├── MOT_track.m ├── README.md ├── calc_overlap.m ├── calculate_similarity.py ├── concatenate_bboxes.m ├── devkit ├── evaluateTracking.m ├── readme.txt ├── run_evaluation.m ├── seqmaps │ ├── c2-test.txt │ ├── c2-train.txt │ ├── c3-test.txt │ ├── c3-train.txt │ ├── c4-test.txt │ ├── c4-train.txt │ ├── c5-test.txt │ └── c5-train.txt └── utils │ ├── CLEAR_MOT_HUN.m │ ├── CLEAR_MOT_HUN_draw.m │ ├── Hungarian.m │ ├── boxIntersect.m │ ├── boxUnion.m │ ├── boxiou.m │ ├── camera │ ├── README.md │ ├── calib_towncentre.m │ ├── distortedToUndistortedImageCoord.m │ ├── distortedToUndistortedSensorCoord.m │ ├── getRotTrans.m │ ├── imageToWorld.m │ ├── parseCameraParameters.m │ ├── undistortedToDistortedImageCoord.m │ ├── undistortedToDistortedSensorCoord.m │ └── worldToImage.m │ ├── classIDToString.m │ ├── classStringToID.m │ ├── convertTXTToStruct.m │ ├── external │ └── iniconfig │ │ ├── IniConfig.m │ │ └── license.txt │ ├── getClassLabels.m │ ├── getImgExt.m │ ├── getSeqInfoFromFile.m │ ├── parseSequences.m │ ├── preprocessResult.m │ └── printMetrics.m ├── extract_det_feat.m ├── find_candidate_detections.m ├── find_detections_for_association.m ├── globals.m ├── handle_conflicting_trackers.m ├── init_tracker ├── MOT16-02_tracker.mat ├── MOT16-04_tracker.mat ├── MOT16-05_tracker.mat ├── MOT16-09_tracker.mat ├── MOT16-10_tracker.mat ├── MOT16-11_tracker.mat └── MOT16-13_tracker.mat ├── initialize_tracker.m ├── interpolate_traj.m ├── motion_predict.m ├── nms.m ├── read_bboxes.m ├── save_results.m ├── sort_trackers.m ├── spatial_temporal_attention_network.py ├── sub_bboxes.m ├── track_frame.m └── track_seq.m /3rd_party/DP_NMS/build_graph.m: -------------------------------------------------------------------------------- 1 | function dres = build_graph(dres) 2 | ov_thresh = 0.5; 3 | dnum = length(dres.x); 4 | time1 = tic; 5 | len1 = max(dres.fr); 6 | for fr = 2:max(dres.fr) 7 | if toc(time1) > 2 8 | fprintf('%0.1f%%\n', 100*fr/len1); 9 | time1 = tic; 10 | end 11 | f1 = find(dres.fr == fr); %% indices for detections on this frame 12 | f2 = find(dres.fr == fr-1); %% indices for detections on the previous frame 13 | for i = 1:length(f1) 14 | ovs1 = calc_overlap(dres, f1(i), dres, f2); 15 | inds1 = find(ovs1 > ov_thresh); %% find overlapping bounding boxes. 16 | 17 | ratio1 = dres.h(f1(i))./dres.h(f2(inds1)); 18 | inds2 = (min(ratio1, 1./ratio1) > 0.8); %% we ignore transitions with large change in the size of bounding boxes. 19 | 20 | dres.nei(f1(i),1).inds = f2(inds1(inds2))'; %% each detction window will have a list of indices pointing to its neighbors in the previous frame. 21 | % dres.nei(f1(i),1).ovs = ovs1(inds1(inds2)); 22 | end 23 | end 24 | 25 | -------------------------------------------------------------------------------- /3rd_party/DP_NMS/cs2_func.m: -------------------------------------------------------------------------------- 1 | % This function calls c implementation of push-relabel algorithm. It is downloaded from http://www.igsystems.com/cs2/index.html and then we mex'ed it to run faster in matlab. 2 | % dat_in = [tail head cost lb ub]; 3 | % dat_out = [frail fhead flow]; 4 | % excess_node = [source_num sink_num]; 5 | % excess_flow = [sourec_flow sink_flow]; 6 | 7 | function [cost, dat_out] = cs2_func(dat_in, excess_node, excess_flow) 8 | 9 | num_arc = size(dat_in,1); 10 | 11 | tail = dat_in(:,1)'; 12 | head = dat_in(:,2)'; 13 | cost = dat_in(:,3)'; 14 | 15 | low = dat_in(:,4)'; 16 | acap = dat_in(:,5)'; 17 | 18 | num_node = max([tail head]); 19 | scale = 12; 20 | [cost,ftail,fhead,flow] = cs2mex(scale, num_node, num_arc, excess_node, excess_flow, tail, head, low, acap, cost); 21 | 22 | dat_out = [ftail fhead flow]; 23 | -------------------------------------------------------------------------------- /3rd_party/DP_NMS/globals.m: -------------------------------------------------------------------------------- 1 | function opt = globals() 2 | 3 | opt.mot = '/home/rain'; 4 | opt.mot2d = '2DMOT2015'; 5 | opt.results = 'results'; 6 | 7 | opt.mot2d_train_seqs = {'TUD-Stadtmitte', 'TUD-Campus', 'PETS09-S2L1', ... 8 | 'ETH-Bahnhof', 'ETH-Sunnyday', 'ETH-Pedcross2', 'ADL-Rundle-6', ... 9 | 'ADL-Rundle-8', 'KITTI-13', 'KITTI-17', 'Venice-2'}; 10 | opt.mot2d_train_nums = [179, 71, 795, 1000, 354, 840, 525, 654, 340, 145, 600]; 11 | 12 | opt.mot2d_test_seqs = {'TUD-Crossing', 'PETS09-S2L2', 'ETH-Jelmoli', ... 13 | 'ETH-Linthescher', 'ETH-Crossing', 'AVG-TownCentre', 'ADL-Rundle-1', ... 14 | 'ADL-Rundle-3', 'KITTI-16', 'KITTI-19', 'Venice-1'}; 15 | opt.mot2d_test_nums = [201, 436, 440, 1194, 219, 450, 500, 625, 209, 1059, 450]; 16 | 17 | % tracking parameters 18 | opt.lost = 3; 19 | 20 | addpath(genpath('../cs2')); 21 | addpath(fullfile(opt.root, 'devkit', 'utils')); -------------------------------------------------------------------------------- /3rd_party/DP_NMS/nms_aggressive.m: -------------------------------------------------------------------------------- 1 | function inds_out = nms_aggressive(dres, inds, thr) 2 | 3 | inds_out = zeros(length(dres.x),1); 4 | k = 0; 5 | for i=1:length(inds) 6 | f1 = inds(i); %% index of this detetion 7 | f2 = find(dres.fr == dres.fr(f1)); %% indices of all detections on the same frame 8 | 9 | [ovs ovs_n1] = calc_overlap(dres,f1,dres,f2); 10 | f3 = f2(find((ovs > thr) + (ovs_n1 > 0.9))); 11 | inds_out(k+1:k+length(f3)) = f3; 12 | k = k + length(f3); 13 | end 14 | inds_out = inds_out(1:k); 15 | -------------------------------------------------------------------------------- /3rd_party/DP_NMS/sub.m: -------------------------------------------------------------------------------- 1 | function s = sub(s,I), 2 | % s = sub(s,I) 3 | % Returns a subset of the structure s 4 | 5 | if ~isempty(s), 6 | n = fieldnames(s); 7 | for i = 1:length(n), 8 | f = n{i}; 9 | s.(f) = s.(f)(I,:); 10 | end 11 | end 12 | 13 | 14 | 15 | 16 | 17 | -------------------------------------------------------------------------------- /3rd_party/DP_NMS/write_tracking_results.m: -------------------------------------------------------------------------------- 1 | function write_tracking_results(filename, dres) 2 | 3 | % sort dres according to fr 4 | [~, index] = sort(dres.fr); 5 | 6 | fid = fopen(filename, 'w'); 7 | 8 | N = numel(index); 9 | for i = 1:N 10 | ind = index(i); 11 | % , , , , , , , , , 12 | fprintf(fid, '%d,%d,%f,%f,%f,%f,%f,%f,%f,%f\n', ... 13 | dres.fr(ind), dres.id(ind), dres.x(ind), dres.y(ind), dres.w(ind), dres.h(ind), ... 14 | -1, -1, -1, -1); 15 | end 16 | 17 | fclose(fid); -------------------------------------------------------------------------------- /3rd_party/Hungarian/assignment.h: -------------------------------------------------------------------------------- 1 | #ifndef _ASSIGNMENT_H_ 2 | #define _ASSIGNMENT_H_ 3 | 4 | #define ONE_INDEXING 5 | //#define WORK_IN_PLACE 6 | #define ASSIGNMENT_INF 9999999 7 | 8 | void assignmentsuboptimal1(int *assignment, double *cost, double *distMatrix, int *nOfValidObservations, int *nOfValidTracks, int nOfRows, int nOfColumns); 9 | 10 | void *myMalloc(int sz); 11 | void myFree(void *ptr); 12 | unsigned char myIsFinite(double value); 13 | double myGetInf(); 14 | 15 | #endif /* _ASSIGNMENT_H_ */ 16 | 17 | -------------------------------------------------------------------------------- /3rd_party/Hungarian/assignmentoptimal.mexa64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/3rd_party/Hungarian/assignmentoptimal.mexa64 -------------------------------------------------------------------------------- /3rd_party/Hungarian/assignmentsuboptimal1.mexa64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/3rd_party/Hungarian/assignmentsuboptimal1.mexa64 -------------------------------------------------------------------------------- /3rd_party/Hungarian/assignmentsuboptimal2.mexa64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/3rd_party/Hungarian/assignmentsuboptimal2.mexa64 -------------------------------------------------------------------------------- /3rd_party/L1APG/IMGaffine_c.mexa64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/3rd_party/L1APG/IMGaffine_c.mexa64 -------------------------------------------------------------------------------- /3rd_party/L1APG/InitTemplates.m: -------------------------------------------------------------------------------- 1 | function [T,T_norm,T_mean,T_std] = InitTemplates(tsize, numT, img, cpt) 2 | % generate templates from single image 3 | % (r1,c1) ***** (r3,c3) (1,1) ***** (1,cols) 4 | % * * * * 5 | % * * -----> * * 6 | % * * * * 7 | % (r2,c2) ***** (r4,c4) (rows,1) **** (rows,cols) 8 | % r1,r2,r3; 9 | % c1,c2,c3 10 | 11 | %% prepare templates geometric parameters 12 | p{1}= cpt; 13 | for i=2:numT 14 | p{i} = cpt+randn(2,3)*0.6; 15 | end 16 | % p{2} = cpt + [-1 0 0; 0 0 0]; 17 | % p{3} = cpt + [1 0 0; 0 0 0]; 18 | % p{4} = cpt + [0 -1 0; 0 0 0]; 19 | % p{5} = cpt + [0 1 0; 0 0 0]; 20 | % p{6} = cpt + [0 0 1; 0 0 0]; 21 | % p{7} = cpt + [0 0 0; -1 0 0]; 22 | % p{8} = cpt + [0 0 0; 1 0 0]; 23 | % p{9} = cpt + [0 0 0; 0 -1 0]; 24 | % p{10} = cpt + [0 0 0; 0 1 0]; 25 | 26 | %% Initializating templates and image 27 | T = zeros(prod([tsize 3]),numT); 28 | 29 | %% cropping and normalizing templates 30 | for n = 1:numT 31 | [T(:,n), T_norm(n), T_mean(n), T_std(n)] = corner2image(img, p{n}, tsize); 32 | end -------------------------------------------------------------------------------- /3rd_party/L1APG/L1APG_reconstruction_error.m: -------------------------------------------------------------------------------- 1 | % compute the reconstruction error 2 | function err = L1APG_reconstruction_error(img, model, x1, y1, x2, y2) 3 | 4 | para = model.para; 5 | para.Lambda = model.Lambda; 6 | pos = [y1, y2, y1; x1 x1 x2]; 7 | sz_T = para.sz_T; 8 | nT = para.nT; 9 | 10 | % get affine transformation parameters from the corner points 11 | aff_obj = corners2affine(pos, sz_T); 12 | map_aff = aff_obj.afnv; 13 | 14 | %-Crop candidate targets "Y" according to the transformation samples 15 | [Y, Y_inrange] = crop_candidates(im2double(img), map_aff, sz_T); 16 | if Y_inrange == 0 17 | fprintf('Target is out of the frame!\n'); 18 | end 19 | 20 | Y = whitening(Y); % zero-mean-unit-variance 21 | Y = normalizeTemplates(Y); % norm one 22 | c = APGLASSOup(model.Temp'*Y, model.Dict, para); 23 | D_s = (Y - model.A(:,1:nT)*c(1:nT)).^2; % reconstruction error 24 | err = sum(D_s); -------------------------------------------------------------------------------- /3rd_party/L1APG/aff2image.m: -------------------------------------------------------------------------------- 1 | function boxes = aff2image(aff_maps, T_sz) 2 | % Get the bounding "box" of the detected object in image 3 | % aff2image(aff_maps, T_sz) 4 | % Input: 5 | % aff_maps - 6xN matrix, containing N tracking results (N frames) in affine parameters, 6 | % each COLUMN is in the form of [a11 a12 a21 a22 t1 t2]' 7 | % T_sz - template size 8 | % Output: 9 | % boxes - 8xN matrix, containing N tracking boxes, each COLUMN 10 | % contains the coordinates of the four corner points. 11 | % 12 | 13 | r = T_sz(1); 14 | c = T_sz(2); % height and width of template 15 | n = size(aff_maps,2); % number of affine results 16 | boxes = zeros(8,n); 17 | for ii=1:n 18 | aff = aff_maps(:,ii); 19 | R = [ aff(1), aff(2), aff(5);... 20 | aff(3), aff(4), aff(6)]; 21 | 22 | P = [ 1, r, 1, r; ... 23 | 1, 1, c, c; ... 24 | 1, 1, 1, 1]; 25 | 26 | Q = R*P; 27 | boxes(:,ii) = Q(:); 28 | end 29 | -------------------------------------------------------------------------------- /3rd_party/L1APG/corner2image.m: -------------------------------------------------------------------------------- 1 | function [crop,crop_norm,crop_mean,crop_std] = corner2image(img, p, tsize) 2 | % (r1,c1) ***** (r3,c3) (1,1) ***** (1,cols) 3 | % * * * * 4 | % * * -----> * * 5 | % * * * * 6 | % (r2,c2) ***** (r4,c4) (rows,1) **** (rows,cols) 7 | afnv_obj = corners2affine(p, tsize); 8 | map_afnv = afnv_obj.afnv; 9 | 10 | img_map = IMGaffine_c(double(img), map_afnv, tsize); 11 | 12 | [crop, crop_mean, crop_std] = whitening( reshape(img_map, prod([tsize 3]), 1) ); % crop is a vector 13 | crop_norm = norm(crop); 14 | crop = crop/crop_norm; -------------------------------------------------------------------------------- /3rd_party/L1APG/corners2affine.m: -------------------------------------------------------------------------------- 1 | function afnv_obj = corners2affine(corners_in, size_out) 2 | %Compute the affine parameter to the desired output size. 3 | %The affine transformation is: inpoints = R *outpoints; 4 | % 5 | % afnv = 3corner2afnv(corners_in, size_out) 6 | % corners_in -- cornner points in the input image, 2x3 [r1 r2 r3; c1 c2 c3] 7 | % size_out -- output size 8 | % afnv_obj.afnv -- affine parameters 9 | % afnv_obj.R -- transformation matrix, 10 | % afnv_obj.size -- size_out 11 | % (r1,c1) ***** (r3,c3) (1,1) ***** (1,cols) 12 | % * * * * 13 | % * * -----> * * 14 | % * * * * 15 | % (r2,c2) ***** (r4,c4) (rows,1) **** (rows,cols) 16 | 17 | 18 | if nargin ~= 2 19 | error('illegal # of nargin'); 20 | end 21 | 22 | rows = size_out(1); 23 | cols = size_out(2); 24 | 25 | inp = [corners_in; 1,1,1]; 26 | 27 | outp = ... 28 | [1, rows, 1; ... 29 | 1, 1, cols; ... 30 | 1, 1, 1]; 31 | 32 | %outp = B * inp 33 | R = inp/outp; 34 | afnv_obj.R = R; 35 | afnv_obj.afnv = [R(1,1), R(1,2), R(2,1), R(2,2), R(1,3), R(2,3)]; 36 | afnv_obj.size = size_out; -------------------------------------------------------------------------------- /3rd_party/L1APG/crop_candidates.m: -------------------------------------------------------------------------------- 1 | function [gly_crop, gly_inrange] = crop_candidates(img_frame, curr_samples, template_size) 2 | %create gly_crop, gly_inrange 3 | 4 | nsamples = size(curr_samples,1); 5 | c = prod([template_size 3]); 6 | gly_inrange = zeros(nsamples,1); 7 | gly_crop = zeros(c,nsamples); 8 | 9 | for n = 1:nsamples 10 | curr_afnv = curr_samples(n, :); 11 | 12 | % [img_cut, gly_inrange(n)] = IMGaffine_r(img_frame, curr_afnv, template_size); 13 | [img_cut, gly_inrange(n)] = IMGaffine_c(img_frame, curr_afnv, template_size); 14 | 15 | gly_crop(:,n) = reshape(img_cut, c , 1); 16 | end 17 | -------------------------------------------------------------------------------- /3rd_party/L1APG/drawAffine.m: -------------------------------------------------------------------------------- 1 | function drawAffine(afnv, tsize, color, linewidth) 2 | 3 | rect= round(aff2image(afnv', tsize)); 4 | inp = reshape(rect,2,4); 5 | 6 | topleft_r = inp(1,1); 7 | topleft_c = inp(2,1); 8 | botleft_r = inp(1,2); 9 | botleft_c = inp(2,2); 10 | topright_r = inp(1,3); 11 | topright_c = inp(2,3); 12 | botright_r = inp(1,4); 13 | botright_c = inp(2,4); 14 | p = line([topleft_c, topright_c], [topleft_r, topright_r]); 15 | set(p, 'Color', color); set(p, 'LineWidth', linewidth); set(p, 'LineStyle', '-'); 16 | p = line([topright_c, botright_c], [topright_r, botright_r]); 17 | set(p, 'Color', color); set(p, 'LineWidth', linewidth); set(p, 'LineStyle', '-'); 18 | p = line([botright_c, botleft_c], [botright_r, botleft_r]); 19 | set(p, 'Color', color); set(p, 'LineWidth', linewidth); set(p, 'LineStyle', '-'); 20 | p = line([botleft_c, topleft_c], [botleft_r, topleft_r]); 21 | set(p, 'Color', color); set(p, 'LineWidth', linewidth); set(p, 'LineStyle', '-'); 22 | -------------------------------------------------------------------------------- /3rd_party/L1APG/draw_sample.m: -------------------------------------------------------------------------------- 1 | function [outs] = draw_sample(mean_afnv, std_afnv) 2 | %draw transformation samples from a Gaussian distribution 3 | 4 | nsamples = size(mean_afnv, 1); 5 | MV_LEN = 6; 6 | mean_afnv(:, 1) = log(mean_afnv(:, 1)); 7 | mean_afnv(:, 4) = log(mean_afnv(:, 4)); 8 | 9 | outs = zeros([nsamples, MV_LEN]); 10 | 11 | outs(:,1:MV_LEN) = randn([nsamples, MV_LEN])*diag(std_afnv) ... 12 | + mean_afnv; 13 | 14 | outs(:,1) = exp(outs(:,1)); 15 | outs(:,4) = exp(outs(:,4)); 16 | -------------------------------------------------------------------------------- /3rd_party/L1APG/images_angle.m: -------------------------------------------------------------------------------- 1 | function a = images_angle(I1, I2) 2 | I1v = double(I1(:)); 3 | I2v = double(I2(:)); 4 | I1vn = I1v./sqrt(sum(I1v.^2)); 5 | I2vn = I2v./sqrt(sum(I2v.^2)); 6 | a = acosd(I1vn'*I2vn); -------------------------------------------------------------------------------- /3rd_party/L1APG/normalizeTemplates.m: -------------------------------------------------------------------------------- 1 | function [A, A_norm] = normalizeTemplates(A) 2 | A_norm = sqrt(sum(A.*A))+1e-14; 3 | A = A./(ones(size(A,1),1)*A_norm); -------------------------------------------------------------------------------- /3rd_party/L1APG/resample.m: -------------------------------------------------------------------------------- 1 | function [map_afnv, count] = resample(curr_samples, prob, afnv) 2 | %% resample with respect to observation likelihood 3 | 4 | nsamples = size(curr_samples, 1); 5 | if(sum(prob) == 0) 6 | map_afnv = ones(nsamples, 1)*afnv; 7 | count = zeros(size(prob)); 8 | else 9 | prob = prob / sum(prob); 10 | count = round(nsamples * prob); 11 | 12 | map_afnv = []; 13 | for i=1:nsamples 14 | for j = 1:count(i) 15 | map_afnv = [map_afnv; curr_samples(i,:)]; 16 | end 17 | end 18 | ns = sum(count); %number of resampled samples can be less or greater than nsamples 19 | map_afnv = [map_afnv; ones(nsamples-ns, 1)*afnv]; %if less 20 | map_afnv = map_afnv(1:nsamples, :); %if more 21 | end 22 | -------------------------------------------------------------------------------- /3rd_party/L1APG/showTemplates.m: -------------------------------------------------------------------------------- 1 | function img = showTemplates(img, A, A_mean, A_norm, tsize, nt) 2 | if(size(img,3) == 1) 3 | for i=1:3 4 | img_color(:,:,i) = img; 5 | end 6 | img = img_color; 7 | end 8 | 9 | for i=1:nt 10 | tt = A(:,i); 11 | tt = tt*A_norm(i)+A_mean(:,i); 12 | tt = reshape(tt, [tsize, 3]); 13 | for j=1:3 14 | img(end-tsize(1)+1:end,(i-1)*tsize(2)+1:i*tsize(2),j) = tt(:,:,j); 15 | end 16 | end 17 | %save templates templates; 18 | 19 | -------------------------------------------------------------------------------- /3rd_party/L1APG/track_YOUTUBE.m: -------------------------------------------------------------------------------- 1 | function track_YOUTUBE 2 | 3 | close all; 4 | seq_name = 'FLUFFYJET_6'; 5 | root_path = '/home/yuxiang/Projects/Multiview_Tracking/dataset/YOUTUBE/'; 6 | 7 | %prepare the file name for each image 8 | filenames = textread(fullfile(root_path, seq_name, 'img', 'imlist.txt'), '%s'); 9 | nframes = numel(filenames); 10 | s_frames = cell(nframes,1); 11 | for t = 1:nframes 12 | s_frames{t} = fullfile(root_path, seq_name, 'img', filenames{t}); 13 | end 14 | 15 | % read initial bounding box 16 | filename = fullfile(root_path, seq_name, 'img', 'init.txt'); 17 | fid = fopen(filename, 'r'); 18 | bbox = fscanf(fid, '%f', 4); 19 | x1 = bbox(1); 20 | y1 = bbox(2); 21 | x2 = bbox(3); 22 | y2 = bbox(4); 23 | fclose(fid); 24 | img = imread(s_frames{1}); 25 | model = L1APG_initialize(img, 1, x1, y1, x2, y2); 26 | 27 | % main function for tracking 28 | for t = 2:nframes 29 | img = imread(s_frames{t}); 30 | [track_res, err, model] = L1APG_track_frame(img, model); 31 | disp(track_res); 32 | pause; 33 | end -------------------------------------------------------------------------------- /3rd_party/L1APG/whitening.m: -------------------------------------------------------------------------------- 1 | function [out,a,b] = whitening(in) 2 | % whitening an image gallery 3 | % 4 | % in -- MNxC 5 | % out -- MNxC 6 | 7 | MN = size(in,1); 8 | a = mean(in); 9 | b = std(in)+1e-14; 10 | out = (in - ones(MN,1)*a) ./ (ones(MN,1)*b); -------------------------------------------------------------------------------- /3rd_party/cs2/copyright.txt: -------------------------------------------------------------------------------- 1 | Copyright (C) 1995-2006 IG Systems, Inc. 2 | 3 | Permission to use for pure academic research or for evaluation purposes 4 | is granted provided that proper acknowledgments are given. 5 | 6 | For information regarding a commercial license, send e-mail to cs2@igsystems.com 7 | 8 | This software comes with no warranty, expressed or implied. By way 9 | of example, but not limitation, IG Systems, Inc. makes no 10 | representations of warranties of merchantability or fitness for 11 | any particular purpose or that the use of the software components 12 | or documentation will not infringe any patents, copyrights, 13 | trademarks, or other rights. 14 | 15 | -------------------------------------------------------------------------------- /3rd_party/cs2/cs2mex.mexa64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/3rd_party/cs2/cs2mex.mexa64 -------------------------------------------------------------------------------- /3rd_party/libsvm-3.20/Makefile: -------------------------------------------------------------------------------- 1 | CXX ?= g++ 2 | CFLAGS = -Wall -Wconversion -O3 -fPIC 3 | SHVER = 2 4 | OS = $(shell uname) 5 | 6 | all: svm-train svm-predict svm-scale 7 | 8 | lib: svm.o 9 | if [ "$(OS)" = "Darwin" ]; then \ 10 | SHARED_LIB_FLAG="-dynamiclib -Wl,-install_name,libsvm.so.$(SHVER)"; \ 11 | else \ 12 | SHARED_LIB_FLAG="-shared -Wl,-soname,libsvm.so.$(SHVER)"; \ 13 | fi; \ 14 | $(CXX) $${SHARED_LIB_FLAG} svm.o -o libsvm.so.$(SHVER) 15 | 16 | svm-predict: svm-predict.c svm.o 17 | $(CXX) $(CFLAGS) svm-predict.c svm.o -o svm-predict -lm 18 | svm-train: svm-train.c svm.o 19 | $(CXX) $(CFLAGS) svm-train.c svm.o -o svm-train -lm 20 | svm-scale: svm-scale.c 21 | $(CXX) $(CFLAGS) svm-scale.c -o svm-scale 22 | svm.o: svm.cpp svm.h 23 | $(CXX) $(CFLAGS) -c svm.cpp 24 | clean: 25 | rm -f *~ svm.o svm-train svm-predict svm-scale libsvm.so.$(SHVER) 26 | -------------------------------------------------------------------------------- /3rd_party/libsvm-3.20/Makefile.win: -------------------------------------------------------------------------------- 1 | #You must ensure nmake.exe, cl.exe, link.exe are in system path. 2 | #VCVARS32.bat 3 | #Under dosbox prompt 4 | #nmake -f Makefile.win 5 | 6 | ########################################## 7 | CXX = cl.exe 8 | CFLAGS = /nologo /O2 /EHsc /I. /D _WIN32 /D _CRT_SECURE_NO_DEPRECATE 9 | TARGET = windows 10 | 11 | all: $(TARGET)\svm-train.exe $(TARGET)\svm-predict.exe $(TARGET)\svm-scale.exe $(TARGET)\svm-toy.exe lib 12 | 13 | $(TARGET)\svm-predict.exe: svm.h svm-predict.c svm.obj 14 | $(CXX) $(CFLAGS) svm-predict.c svm.obj -Fe$(TARGET)\svm-predict.exe 15 | 16 | $(TARGET)\svm-train.exe: svm.h svm-train.c svm.obj 17 | $(CXX) $(CFLAGS) svm-train.c svm.obj -Fe$(TARGET)\svm-train.exe 18 | 19 | $(TARGET)\svm-scale.exe: svm.h svm-scale.c 20 | $(CXX) $(CFLAGS) svm-scale.c -Fe$(TARGET)\svm-scale.exe 21 | 22 | $(TARGET)\svm-toy.exe: svm.h svm.obj svm-toy\windows\svm-toy.cpp 23 | $(CXX) $(CFLAGS) svm-toy\windows\svm-toy.cpp svm.obj user32.lib gdi32.lib comdlg32.lib -Fe$(TARGET)\svm-toy.exe 24 | 25 | svm.obj: svm.cpp svm.h 26 | $(CXX) $(CFLAGS) -c svm.cpp 27 | 28 | lib: svm.cpp svm.h svm.def 29 | $(CXX) $(CFLAGS) -LD svm.cpp -Fe$(TARGET)\libsvm -link -DEF:svm.def 30 | 31 | clean: 32 | -erase /Q *.obj $(TARGET)\. 33 | 34 | -------------------------------------------------------------------------------- /3rd_party/libsvm-3.20/matlab/libsvmread.mexa64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/3rd_party/libsvm-3.20/matlab/libsvmread.mexa64 -------------------------------------------------------------------------------- /3rd_party/libsvm-3.20/matlab/libsvmwrite.mexa64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/3rd_party/libsvm-3.20/matlab/libsvmwrite.mexa64 -------------------------------------------------------------------------------- /3rd_party/libsvm-3.20/matlab/make.m: -------------------------------------------------------------------------------- 1 | % This make.m is for MATLAB and OCTAVE under Windows, Mac, and Unix 2 | 3 | try 4 | Type = ver; 5 | % This part is for OCTAVE 6 | if(strcmp(Type(1).Name, 'Octave') == 1) 7 | mex libsvmread.c 8 | mex libsvmwrite.c 9 | mex svmtrain.c ../svm.cpp svm_model_matlab.c 10 | mex svmpredict.c ../svm.cpp svm_model_matlab.c 11 | % This part is for MATLAB 12 | % Add -largeArrayDims on 64-bit machines of MATLAB 13 | else 14 | mex CFLAGS="\$CFLAGS -std=c99" -largeArrayDims libsvmread.c 15 | mex CFLAGS="\$CFLAGS -std=c99" -largeArrayDims libsvmwrite.c 16 | mex CFLAGS="\$CFLAGS -std=c99" -largeArrayDims svmtrain.c ../svm.cpp svm_model_matlab.c 17 | mex CFLAGS="\$CFLAGS -std=c99" -largeArrayDims svmpredict.c ../svm.cpp svm_model_matlab.c 18 | end 19 | catch 20 | fprintf('If make.m fails, please check README about detailed instructions.\n'); 21 | end 22 | -------------------------------------------------------------------------------- /3rd_party/libsvm-3.20/matlab/svm_model_matlab.h: -------------------------------------------------------------------------------- 1 | const char *model_to_matlab_structure(mxArray *plhs[], int num_of_feature, struct svm_model *model); 2 | struct svm_model *matlab_matrix_to_model(const mxArray *matlab_struct, const char **error_message); 3 | -------------------------------------------------------------------------------- /3rd_party/libsvm-3.20/matlab/svmpredict.mexa64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/3rd_party/libsvm-3.20/matlab/svmpredict.mexa64 -------------------------------------------------------------------------------- /3rd_party/libsvm-3.20/matlab/svmtrain.mexa64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/3rd_party/libsvm-3.20/matlab/svmtrain.mexa64 -------------------------------------------------------------------------------- /3rd_party/libsvm-3.20/python/Makefile: -------------------------------------------------------------------------------- 1 | all = lib 2 | 3 | lib: 4 | make -C .. lib 5 | -------------------------------------------------------------------------------- /3rd_party/libsvm-3.20/svm.def: -------------------------------------------------------------------------------- 1 | LIBRARY libsvm 2 | EXPORTS 3 | svm_train @1 4 | svm_cross_validation @2 5 | svm_save_model @3 6 | svm_load_model @4 7 | svm_get_svm_type @5 8 | svm_get_nr_class @6 9 | svm_get_labels @7 10 | svm_get_svr_probability @8 11 | svm_predict_values @9 12 | svm_predict @10 13 | svm_predict_probability @11 14 | svm_free_model_content @12 15 | svm_free_and_destroy_model @13 16 | svm_destroy_param @14 17 | svm_check_parameter @15 18 | svm_check_probability_model @16 19 | svm_set_print_string_function @17 20 | svm_get_sv_indices @18 21 | svm_get_nr_sv @19 22 | -------------------------------------------------------------------------------- /DMAN.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/DMAN.png -------------------------------------------------------------------------------- /ECO/VOT_integration/benchmark_wrapper/setup_tracker_paths.m: -------------------------------------------------------------------------------- 1 | function setup_tracker_paths(tracker_name) 2 | 3 | [wrapper_path, name, ext] = fileparts(mfilename('fullpath')); 4 | 5 | addpath(wrapper_path) 6 | 7 | cd_ind = strfind(wrapper_path, filesep()); 8 | repo_path = wrapper_path(1:cd_ind(end-1)-1); 9 | 10 | addpath(repo_path); 11 | setup_paths(); -------------------------------------------------------------------------------- /ECO/VOT_integration/benchmark_wrapper/vot_initialize.m: -------------------------------------------------------------------------------- 1 | function [images, region] = vot_initialize() 2 | 3 | % read the image file paths 4 | fid = fopen('images.txt','r'); 5 | images = textscan(fid, '%s', 'delimiter', '\n'); 6 | fclose(fid); 7 | 8 | images = images{1}; 9 | 10 | % read the region 11 | region = dlmread('region.txt'); 12 | region = region(:); 13 | end -------------------------------------------------------------------------------- /ECO/VOT_integration/benchmark_wrapper/vot_quit.m: -------------------------------------------------------------------------------- 1 | function vot_quit(regions) 2 | 3 | fid = fopen('output.txt', 'w'); 4 | 5 | for i = 1:numel(regions) 6 | region = regions{i}; 7 | 8 | if numel(region) == 1 9 | fprintf(fid, '%f\n', region); 10 | elseif numel(region) == 4 11 | fprintf(fid, '%f,%f,%f,%f\n', region(1), region(2), region(3), region(4)); 12 | elseif numel(region) >= 6 && mod(numel(region), 2) == 0 13 | fprintf(fid, '%f,', region(1:end-1)); 14 | fprintf(fid, '%f\n', region(end)); 15 | else 16 | error('VOT: Illegal result format'); 17 | end; 18 | 19 | end; 20 | 21 | fclose(fid); -------------------------------------------------------------------------------- /ECO/VOT_integration/configuration_file/tracker_ECO.m: -------------------------------------------------------------------------------- 1 | % Copy this template configuration file to your VOT workspace. 2 | % Enter the full path to the ECO repository root folder. 3 | 4 | ECO_repo_path = ######## 5 | 6 | tracker_label = 'ECO'; 7 | tracker_command = generate_matlab_command('benchmark_tracker_wrapper(''ECO'', ''VOT2016_DEEP_settings'', true)', {[ECO_repo_path '/VOT_integration/benchmark_wrapper']}); 8 | tracker_interpreter = 'matlab'; 9 | tracker_trax = false; -------------------------------------------------------------------------------- /ECO/demo_ECO.m: -------------------------------------------------------------------------------- 1 | 2 | % This demo script runs the ECO tracker with deep features on the 3 | % included "Crossing" video. 4 | 5 | % Add paths 6 | setup_paths(); 7 | 8 | % Load video information 9 | video_path = 'sequences/Crossing'; 10 | [seq, ground_truth] = load_video_info(video_path); 11 | 12 | % Run ECO 13 | results = testing_ECO(seq); -------------------------------------------------------------------------------- /ECO/demo_ECO_HC.m: -------------------------------------------------------------------------------- 1 | 2 | % This demo script runs the ECO tracker with hand-crafted features on the 3 | % included "Crossing" video. 4 | 5 | % Add paths 6 | setup_paths(); 7 | 8 | % Load video information 9 | video_path = 'sequences/Crossing'; 10 | [seq, ground_truth] = load_video_info(video_path); 11 | 12 | % Run ECO 13 | results = testing_ECO_HC(seq); -------------------------------------------------------------------------------- /ECO/external_libs/mexResize/compile.m: -------------------------------------------------------------------------------- 1 | 2 | % Compiles the mexResize function. 3 | 4 | % Try to use the included mex files first. If they do not work, you can try 5 | % to compile it yourself with this script. If the bellow mex command does 6 | % not work, try to link to your own OpenCV installation. 7 | 8 | if ispc 9 | mex -lopencv_core242 -lopencv_imgproc242 -L./ -I./ mexResize.cpp MxArray.cpp 10 | else 11 | mex -lopencv_core -lopencv_imgproc -L./ -I./ mexResize.cpp MxArray.cpp 12 | end -------------------------------------------------------------------------------- /ECO/external_libs/mexResize/libopencv_core.a: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/mexResize/libopencv_core.a -------------------------------------------------------------------------------- /ECO/external_libs/mexResize/libopencv_imgproc.a: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/mexResize/libopencv_imgproc.a -------------------------------------------------------------------------------- /ECO/external_libs/mexResize/mexResize.mexw64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/mexResize/mexResize.mexw64 -------------------------------------------------------------------------------- /ECO/external_libs/mexResize/opencv2/flann/dummy.h: -------------------------------------------------------------------------------- 1 | 2 | #ifndef OPENCV_FLANN_DUMMY_H_ 3 | #define OPENCV_FLANN_DUMMY_H_ 4 | 5 | namespace cvflann 6 | { 7 | 8 | #if (defined WIN32 || defined _WIN32 || defined WINCE) && defined CVAPI_EXPORTS 9 | __declspec(dllexport) 10 | #endif 11 | void dummyfunc(); 12 | 13 | } 14 | 15 | 16 | #endif /* OPENCV_FLANN_DUMMY_H_ */ 17 | -------------------------------------------------------------------------------- /ECO/external_libs/mexResize/opencv2/opencv_modules.hpp: -------------------------------------------------------------------------------- 1 | /* 2 | * ** File generated automatically, do not modify ** 3 | * 4 | * This file defines the list of modules available in current build configuration 5 | * 6 | * 7 | */ 8 | 9 | #define HAVE_OPENCV_CALIB3D 10 | #define HAVE_OPENCV_CONTRIB 11 | #define HAVE_OPENCV_CORE 12 | #define HAVE_OPENCV_FEATURES2D 13 | #define HAVE_OPENCV_FLANN 14 | #define HAVE_OPENCV_GPU 15 | #define HAVE_OPENCV_HIGHGUI 16 | #define HAVE_OPENCV_IMGPROC 17 | #define HAVE_OPENCV_LEGACY 18 | #define HAVE_OPENCV_ML 19 | #define HAVE_OPENCV_NONFREE 20 | #define HAVE_OPENCV_OBJDETECT 21 | #define HAVE_OPENCV_PHOTO 22 | #define HAVE_OPENCV_STITCHING 23 | #define HAVE_OPENCV_TS 24 | #define HAVE_OPENCV_VIDEO 25 | #define HAVE_OPENCV_VIDEOSTAB 26 | 27 | 28 | -------------------------------------------------------------------------------- /ECO/external_libs/mexResize/opencv_core242.dll: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/mexResize/opencv_core242.dll -------------------------------------------------------------------------------- /ECO/external_libs/mexResize/opencv_core242.lib: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/mexResize/opencv_core242.lib -------------------------------------------------------------------------------- /ECO/external_libs/mexResize/opencv_imgproc242.dll: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/mexResize/opencv_imgproc242.dll -------------------------------------------------------------------------------- /ECO/external_libs/mexResize/opencv_imgproc242.lib: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/mexResize/opencv_imgproc242.lib -------------------------------------------------------------------------------- /ECO/external_libs/mtimesx/mtimesx.c: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/mtimesx/mtimesx.c -------------------------------------------------------------------------------- /ECO/external_libs/mtimesx/mtimesx.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/mtimesx/mtimesx.m -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/.gitignore: -------------------------------------------------------------------------------- 1 | /videos/private/*png*.* 2 | /videos/private/*jpg8c.* 3 | /detector/models/*Dets.txt 4 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/README.md: -------------------------------------------------------------------------------- 1 | Documentation: https://pdollar.github.io/toolbox/ 2 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/channels/Contents.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/channels/Contents.m -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/channels/chnsCompute.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/channels/chnsCompute.m -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/channels/chnsPyramid.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/channels/chnsPyramid.m -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/channels/chnsScaling.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/channels/chnsScaling.m -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/channels/gradientHist.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/channels/gradientHist.m -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/channels/private/convConst.mexmaci64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/channels/private/convConst.mexmaci64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/channels/private/convConst.mexw64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/channels/private/convConst.mexw64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/channels/private/gradientMex.mexmaci64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/channels/private/gradientMex.mexmaci64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/channels/private/gradientMex.mexw64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/channels/private/gradientMex.mexw64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/channels/private/gradientMexNew.mexmaci64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/channels/private/gradientMexNew.mexmaci64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/channels/private/imPadMex.mexmaci64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/channels/private/imPadMex.mexmaci64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/channels/private/imPadMex.mexw64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/channels/private/imPadMex.mexw64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/channels/private/imResampleMex.mexmaci64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/channels/private/imResampleMex.mexmaci64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/channels/private/imResampleMex.mexw64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/channels/private/imResampleMex.mexw64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/channels/private/rgbConvertMex.mexmaci64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/channels/private/rgbConvertMex.mexmaci64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/channels/private/rgbConvertMex.mexw64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/channels/private/rgbConvertMex.mexw64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/classify/adaBoostTrain.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/classify/adaBoostTrain.m -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/classify/binaryTreeTrain.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/classify/binaryTreeTrain.m -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/classify/fernsClfApply.m: -------------------------------------------------------------------------------- 1 | function [hs,probs] = fernsClfApply( data, ferns, inds ) 2 | % Apply learned fern classifier. 3 | % 4 | % USAGE 5 | % [hs,probs] = fernsClfApply( data, ferns, [inds] ) 6 | % 7 | % INPUTS 8 | % data - [NxF] N length F binary feature vectors 9 | % ferns - learned fern classification model 10 | % inds - [NxM] cached inds (from previous call to fernsInds) 11 | % 12 | % OUTPUTS 13 | % hs - [Nx1] predicted output labels 14 | % probs - [NxH] predicted output label probabilities 15 | % 16 | % EXAMPLE 17 | % 18 | % See also fernsClfTrain, fernsInds 19 | % 20 | % Piotr's Computer Vision Matlab Toolbox Version 2.50 21 | % Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com] 22 | % Licensed under the Simplified BSD License [see external/bsd.txt] 23 | if( nargin<3 || isempty(inds) ) 24 | inds = fernsInds(data,ferns.fids,ferns.thrs); end 25 | [N,M]=size(inds); H=ferns.H; probs=zeros(N,H); 26 | for m=1:M, probs = probs + ferns.pFern(inds(:,m),:,m); end 27 | if(ferns.bayes==0), probs=probs/M; end; [~,hs]=max(probs,[],2); 28 | end 29 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/classify/fernsInds.m: -------------------------------------------------------------------------------- 1 | function inds = fernsInds( data, fids, thrs ) 2 | % Compute indices for each input by each fern. 3 | % 4 | % USAGE 5 | % inds = fernsInds( data, fids, thrs ) 6 | % 7 | % INPUTS 8 | % data - [NxF] N length F binary feature vectors 9 | % fids - [MxS] feature ids for each fern for each depth 10 | % thrs - [MxS] threshold corresponding to each fid 11 | % 12 | % OUTPUTS 13 | % inds - [NxM] computed indices for each input by each fern 14 | % 15 | % EXAMPLE 16 | % 17 | % See also fernsClfTrain, fernsClfApply 18 | % 19 | % Piotr's Computer Vision Matlab Toolbox Version 2.50 20 | % Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com] 21 | % Licensed under the Simplified BSD License [see external/bsd.txt] 22 | 23 | inds = fernsInds1( data, fids, thrs ); 24 | 25 | %%% OLD MATLAB CODE -- NOW IN MEX 26 | % [M,S]=size(fids); N=size(data,1); 27 | % inds = zeros(N,M,'uint32'); 28 | % for n=1:N 29 | % for m=1:M 30 | % for s=1:S 31 | % inds(n,m)=inds(n,m)*2; 32 | % if( data(n,fids(m,s)) 3 | 4 | 5 | Piotr's Matlab Toolbox 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | Sorry, your browser doesn't support frames. 20 | Go to menu.html for the documentation of all 21 | the Matlab functions. 22 | 23 | 24 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/doc/left.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/doc/left.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/doc/linux.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/doc/linux.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/doc/matlabicon.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/doc/matlabicon.gif -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/doc/mex.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/doc/mex.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/doc/new.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/doc/new.gif -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/doc/right.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/doc/right.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/doc/sgi.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/doc/sgi.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/doc/simulinkicon.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/doc/simulinkicon.gif -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/doc/solaris.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/doc/solaris.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/doc/up.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/doc/up.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/doc/videos/imagesAlignSeq.html: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/doc/videos/imagesAlignSeq.html -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/doc/windows.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/doc/windows.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/deprecated/clfData.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/deprecated/clfData.mat -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/deprecated/clfDecTree.m: -------------------------------------------------------------------------------- 1 | function clf = clfDecTree( p, varargin ) 2 | % Wrapper for treefit that makes decision trees compatible with nfoldxval. 3 | % 4 | % USAGE 5 | % clf = clfDecTree( p, varargin ) 6 | % 7 | % INPUTS 8 | % p - data dimension 9 | % varargin- params for treefit, ex: 'splitmin'',2,'priorprob',ones(1,n)/n 10 | % 11 | % OUTPUTS 12 | % clf - model ready to be trained 13 | % 14 | % EXAMPLE 15 | % 16 | % See also NFOLDXVAL, TREEFIT, CLFDECTREEFWD, CLFDECTREETRAIN 17 | % 18 | % Piotr's Image&Video Toolbox Version 2.0 19 | % Copyright 2008 Piotr Dollar. [pdollar-at-caltech.edu] 20 | % Please email me if you find bugs, or have suggestions or questions! 21 | % Licensed under the Lesser GPL [see external/lgpl.txt] 22 | 23 | clf.p = p; 24 | clf.type = 'dectree'; 25 | clf.params = varargin; 26 | 27 | clf.funTrain = @clfDecTreeTrain; 28 | clf.funFwd = @clfDecTreeFwd; 29 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/deprecated/clfDecTreeFwd.m: -------------------------------------------------------------------------------- 1 | function Y = clfDecTreeFwd( clf, X ) 2 | % Apply the decision tree to data X. 3 | % 4 | % USAGE 5 | % Y = clfDecTreeFwd( clf, X ) 6 | % 7 | % INPUTS 8 | % clf - trained model 9 | % X - nxp data array 10 | % 11 | % OUTPUTS 12 | % Y - nx1 vector of labels predicted according to the clf 13 | % 14 | % EXAMPLE 15 | % 16 | % See also CLFDECTREE 17 | % 18 | % Piotr's Image&Video Toolbox Version 2.0 19 | % Copyright 2008 Piotr Dollar. [pdollar-at-caltech.edu] 20 | % Please email me if you find bugs, or have suggestions or questions! 21 | % Licensed under the Lesser GPL [see external/lgpl.txt] 22 | 23 | if(~strcmp(clf.type,'dectree')); error( ['incor. type: ' clf.type] ); end; 24 | if( size(X,2)~= clf.p ); error( 'Incorrect data dimension' ); end; 25 | T = clf.T; 26 | 27 | [Y,d,cnames] = treeval( T, X ); 28 | Y = str2double( cnames ); % convert Y back to an int format 29 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/deprecated/clfDecTreeTrain.m: -------------------------------------------------------------------------------- 1 | function clf = clfDecTreeTrain( clf, X, Y ) 2 | % Train a decision tree classifier. 3 | % 4 | % USAGE 5 | % clf = clfDecTreeTrain( clf, X, Y ) 6 | % 7 | % INPUTS 8 | % clf - model to be trained 9 | % X - nxp data array 10 | % Y - nx1 array of labels 11 | % 12 | % OUTPUTS 13 | % clf - a trained binary decision tree clf 14 | % 15 | % EXAMPLE 16 | % 17 | % See also CLFDECTREE 18 | % 19 | % Piotr's Image&Video Toolbox Version 2.0 20 | % Copyright 2008 Piotr Dollar. [pdollar-at-caltech.edu] 21 | % Please email me if you find bugs, or have suggestions or questions! 22 | % Licensed under the Lesser GPL [see external/lgpl.txt] 23 | 24 | if(~strcmp(clf.type,'dectree')); error( ['incor. type: ' clf.type] ); end 25 | if( size(X,2)~= clf.p ); error( 'Incorrect data dimension' ); end 26 | 27 | % apply treefit 28 | Y = int2str2( Y ); % convert Y to string format for treefit. 29 | params = clf.params; 30 | T = treefit(X,Y,'method','classification',params{:}); 31 | 32 | % apply cross validation (on training data), and prune 33 | [c,s,n,best] = treetest(T,'cross',X,Y); 34 | T = treeprune(T,'level',best); 35 | 36 | clf.T = T; 37 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/deprecated/clfEcocCode.m: -------------------------------------------------------------------------------- 1 | function [C,nbits] = clfEcocCode( k ) 2 | % Generates optimal ECOC codes when 3<=nclasses<=7. 3 | % 4 | % USAGE 5 | % [C,nbits] = clfEcocCode( k ) 6 | % 7 | % INPUTS 8 | % k - number of classes 9 | % 10 | % OUTPUTS 11 | % C - code 12 | % nbits - number of bits 13 | % 14 | % EXAMPLE 15 | % 16 | % See also CLFECOC 17 | % 18 | % Piotr's Image&Video Toolbox Version 2.0 19 | % Copyright 2008 Piotr Dollar. [pdollar-at-caltech.edu] 20 | % Please email me if you find bugs, or have suggestions or questions! 21 | % Licensed under the Lesser GPL [see external/lgpl.txt] 22 | 23 | if( k<3 || k>7 ) 24 | error( 'method only works if k is small: 3<=k<=7'); end 25 | 26 | % create C 27 | C = ones(k,2^(k-1)); 28 | for i=2:k 29 | partw = 2^(k-i); nparts = 2^(i-2); 30 | row = [zeros(1,partw) ones(1,partw)]; 31 | row = repmat( row, 1, nparts ); 32 | C(i,:) = row; 33 | end 34 | C = C(:,1:end-1); 35 | nbits = size(C,2); 36 | 37 | % alter C to have entries [-1,1] 38 | C(C==0)=-1; 39 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/deprecated/clfKnn.m: -------------------------------------------------------------------------------- 1 | function clf = clfKnn( p, k, metric ) 2 | % Create a k nearest neighbor classifier. 3 | % 4 | % USAGE 5 | % clf = clfKnn( p, k, metric ) 6 | % 7 | % INPUTS 8 | % p - data dimension 9 | % k - number of nearest neighbors to look at 10 | % metric - [] distance function, squared euclidean by default 11 | % 12 | % OUTPUTS 13 | % clf - model ready to be trained 14 | % 15 | % EXAMPLE 16 | % 17 | % See also NFOLDXVAL, CLFKNNTRAIN, CLFKNNFWD, CLFKNNDIST 18 | % 19 | % Piotr's Image&Video Toolbox Version 2.0 20 | % Copyright 2008 Piotr Dollar. [pdollar-at-caltech.edu] 21 | % Please email me if you find bugs, or have suggestions or questions! 22 | % Licensed under the Lesser GPL [see external/lgpl.txt] 23 | 24 | if( nargin<3 ); metric = []; end 25 | 26 | clf.p = p; 27 | clf.type = 'knn'; 28 | clf.k = k; 29 | clf.metric = metric; 30 | clf.funTrain = @clfKnnTrain; 31 | clf.funFwd = @clfKnnFwd; 32 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/deprecated/clfKnnFwd.m: -------------------------------------------------------------------------------- 1 | function Y = clfKnnFwd( clf, X ) 2 | % Apply a k-nearest neighbor classifier to X. 3 | % 4 | % USAGE 5 | % Y = clfKnnFwd( clf, X ) 6 | % 7 | % INPUTS 8 | % clf - trained model 9 | % X - nxp data array 10 | % 11 | % OUTPUTS 12 | % Y - nx1 vector of labels predicted according to the clf 13 | % 14 | % EXAMPLE 15 | % 16 | % See also CLFKNN, CLFKNNTRAIN 17 | % 18 | % Piotr's Image&Video Toolbox Version 2.0 19 | % Copyright 2008 Piotr Dollar. [pdollar-at-caltech.edu] 20 | % Please email me if you find bugs, or have suggestions or questions! 21 | % Licensed under the Lesser GPL [see external/lgpl.txt] 22 | 23 | if( ~strcmp(clf.type,'knn')); error( ['incorrect type: ' clf.type] ); end 24 | if( size(X,2)~= clf.p ); error( 'Incorrect data dimension' ); end 25 | 26 | metric = clf.metric; 27 | Xtrain = clf.Xtrain; 28 | Ytrain = clf.Ytrain; 29 | k = clf.k; 30 | 31 | % get nearest neighbors for each X point 32 | D = pdist2( X, Xtrain, metric ); 33 | Y = clfKnnDist( D, Ytrain, k ); 34 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/deprecated/clfKnnTrain.m: -------------------------------------------------------------------------------- 1 | function clf = clfKnnTrain( clf, X, Y ) 2 | % Train a k nearest neighbor classifier (memorization). 3 | % 4 | % USAGE 5 | % clf = clfKnnTrain( clf, X, Y ) 6 | % 7 | % INPUTS 8 | % clf - model to be trained 9 | % X - nxp data array 10 | % Y - nx1 array of labels 11 | % 12 | % OUTPUTS 13 | % clf - a trained k-nearest neighbor classifier. 14 | % 15 | % EXAMPLE 16 | % 17 | % See also CLFKNN, CLFKNNFWD 18 | % 19 | % Piotr's Image&Video Toolbox Version 2.0 20 | % Copyright 2008 Piotr Dollar. [pdollar-at-caltech.edu] 21 | % Please email me if you find bugs, or have suggestions or questions! 22 | % Licensed under the Lesser GPL [see external/lgpl.txt] 23 | 24 | if( ~strcmp(clf.type,'knn')); error( ['incorrect type: ' clf.type] ); end; 25 | if( size(X,2)~= clf.p ); error( 'Incorrect data dimension' ); end; 26 | 27 | %%% error check 28 | n=size(X,1); Y=double(Y); 29 | [Y,er] = checkNumArgs( Y, [n 1], 0, 0 ); error(er); 30 | 31 | %%% training is memorization 32 | clf.Xtrain = X; 33 | clf.Ytrain = Y; 34 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/deprecated/clfSvm.m: -------------------------------------------------------------------------------- 1 | function net = clfSvm(varargin) 2 | % Wrapper for svm that makes svm compatible with nfoldxval. 3 | % 4 | % Requires the SVM toolbox by Anton Schwaighofer. 5 | % 6 | % USAGE 7 | % net = clfSvm(varargin) 8 | % 9 | % INPUTS 10 | % see svm in SVM toolbox by Anton Schwaighofer. 11 | % 12 | % OUTPUTS 13 | % see svm in SVM toolbox by Anton Schwaighofer. 14 | % 15 | % EXAMPLE 16 | % 17 | % See also SVM, NFOLDXVAL 18 | % 19 | % Piotr's Image&Video Toolbox Version 2.0 20 | % Copyright 2008 Piotr Dollar. [pdollar-at-caltech.edu] 21 | % Please email me if you find bugs, or have suggestions or questions! 22 | % Licensed under the Lesser GPL [see external/lgpl.txt] 23 | 24 | net = svm( varargin{:} ); 25 | net.funTrain = @svmtrain; 26 | net.funFwd = @svmfwd; 27 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/deprecated/localsum_block.m: -------------------------------------------------------------------------------- 1 | % Calculates the sum in non-overlapping blocks of I of size dims. 2 | % 3 | % Similar to localsum except gets sum in non-overlapping windows. 4 | % Equivalent to doing localsum, and then subsampling (except more 5 | % efficient). 6 | % 7 | % USAGE 8 | % I = localsum_block( I, dims ) 9 | % 10 | % INPUTS 11 | % I - matrix to compute sum over 12 | % dims - size of volume to compute sum over 13 | % 14 | % OUTPUTS 15 | % I - resulting array 16 | % 17 | % EXAMPLE 18 | % load trees; I=ind2gray(X,map); 19 | % I2 = localsum_block( I, 11 ); 20 | % figure(1); im(I); figure(2); im(I2); 21 | % 22 | % See also LOCALSUM 23 | 24 | % Piotr's Image&Video Toolbox Version 1.5 25 | % Written and maintained by Piotr Dollar pdollar-at-cs.ucsd.edu 26 | % Please email me if you find bugs, or have suggestions or questions! 27 | 28 | function I = localsum_block( I, dims ) 29 | 30 | I = nlfiltblock_sep( I, dims, @rnlfiltblock_sum ); 31 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/deprecated/mode2.m: -------------------------------------------------------------------------------- 1 | % Returns the mode of a vector. 2 | % 3 | % Was mode not part of Matlab before? 4 | % 5 | % USAGE 6 | % y = mode2( x ) 7 | % 8 | % INPUTS 9 | % x - vector of integers 10 | % 11 | % OUTPUTS 12 | % y - mode 13 | % 14 | % EXAMPLE 15 | % x = randint2( 1, 10, [1 3] ) 16 | % mode(x), mode2( x ) 17 | % 18 | % See also MODE 19 | 20 | % Piotr's Image&Video Toolbox Version 1.5 21 | % Written and maintained by Piotr Dollar pdollar-at-cs.ucsd.edu 22 | % Please email me if you find bugs, or have suggestions or questions! 23 | 24 | function y = mode2( x ) 25 | 26 | wid = sprintf('Images:%s:obsoleteFunction',mfilename); 27 | warning(wid,[ '%s is obsolete in Piotr''s toolbox.\n MODE is its '... 28 | 'recommended replacement.'],upper(mfilename)); 29 | 30 | y = mode( x ); 31 | 32 | % [b,i,j] = unique(x); 33 | % [ mval, ind ] = max(hist(j,length(b))); 34 | % y = b(ind); 35 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/@template/char.m: -------------------------------------------------------------------------------- 1 | function s = char(tpl) 2 | %TEMPLATE Convert a template object in a one line description string 3 | % S = CHAR(TPL) is a class convertor from Template to a string, used 4 | % in online display. 5 | % 6 | % See also DISPLAY 7 | 8 | % Copyright (C) 2003 Guillaume Flandin 9 | % $Revision: 1.0 $Date: 2003/05/05 22:19:51 $ 10 | 11 | s = ['Template Object: root ''',... 12 | tpl.root,''', ',... 13 | num2str(length(tpl.file)), ' files, ',... 14 | num2str(length(tpl.varkeys)), ' keys, ',... 15 | tpl.unknowns, ' unknowns.']; 16 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/@template/display.m: -------------------------------------------------------------------------------- 1 | function display(tpl) 2 | %TEMPLATE Display a template object in Matlab window 3 | % DISPLAY(TPL) displays informations about the content of template 4 | % object TPL: 5 | % Template Object: root '.', 2 files, 9 keys, comment unknowns. 6 | % root element of template files, number of template files, number of 7 | % keywords defined and the way of handling unknowns tags. 8 | 9 | % Copyright (C) 2003 Guillaume Flandin 10 | % $Revision: 1.0 $Date: 2003/05/05 22:19:51 $ 11 | 12 | disp(' '); 13 | disp([inputname(1),' = ']); 14 | disp(' '); 15 | for i=1:prod(size(tpl)) 16 | disp([blanks(length(inputname(1))+3) char(tpl(i))]); 17 | end 18 | disp(' '); 19 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/@template/parse.m: -------------------------------------------------------------------------------- 1 | function [tpl, str] = parse(tpl,target,handle,append) 2 | %TEMPLATE/PARSE Fill in replacement fields with the class properties 3 | % [TPL, STR] = PARSE(TPL,TARGET,HANDLE) fills in the replacement field 4 | % HANDLE using previously defined variables of template TPL and store 5 | % it in field TARGET. HANDLE can also be a cell array of field names. 6 | % Output is also provided in output STR (content of TARGET). 7 | % [TPL, STR] = PARSE(TPL,TARGET,HANDLE,APPEND) allows to specify if 8 | % TARGET field is reseted before being filled or if new content is 9 | % appended to the previous one. 10 | 11 | % Copyright (C) 2003 Guillaume Flandin 12 | % $Revision: 1.0 $Date: 2003/05/05 22:19:51 $ 13 | 14 | narginchk(3,4); 15 | if nargin == 3 16 | append = 0; 17 | end 18 | 19 | if iscellstr(handle) 20 | for i=1:length(handle) 21 | [tpl, str] = subst(tpl,handle{i}); 22 | tpl = set(tpl,'var',target,str); 23 | end 24 | elseif ischar(handle) 25 | [tpl, str] = subst(tpl,handle); 26 | if append 27 | tpl = set(tpl,'var',target,[get(tpl,'var',target) str]); 28 | else 29 | tpl = set(tpl,'var',target,str); 30 | end 31 | else 32 | error('[Template] Badly formed handle.'); 33 | end 34 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/@template/private/loadtpl.m: -------------------------------------------------------------------------------- 1 | function tpl = loadtpl(tpl,handle) 2 | %TEMPLATE/LOADTPL Read a template from file 3 | % TPL = LOADTPL(TPL,HANDLE) read the template file associated with the 4 | % handle HANDLE in the template TPL and store it in the variable HANDLE. 5 | 6 | % Copyright (C) 2003 Guillaume Flandin 7 | % $Revision: 1.0 $Date: 2003/05/05 22:19:51 $ 8 | 9 | if ~isempty(get(tpl,'var',handle)) 10 | return; 11 | else 12 | ind = find(ismember(tpl.handles,handle)); 13 | if isempty(ind) 14 | error('[Template] No such template handle.'); 15 | else 16 | filename = tpl.file{ind}; 17 | [fid, errmsg] = fopen(filename,'rt'); 18 | if ~isempty(errmsg) 19 | error(sprintf('Cannot open template file %s.',filename)); 20 | end 21 | tpl = set(tpl,'var',handle,fscanf(fid,'%c')); 22 | fclose(fid); 23 | end 24 | end 25 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/@template/private/subst.m: -------------------------------------------------------------------------------- 1 | function [tpl, str] = subst(tpl,handle) 2 | %TEMPLATE/SUBST Substitute a replacement field by its value 3 | % STR = SUBST(TPL,HANDLE) substitute all the known fields of variable HANDLE 4 | % in the template TPL. 5 | 6 | % Copyright (C) 2003 Guillaume Flandin 7 | % $Revision: 1.0 $Date: 2003/05/05 22:19:51 $ 8 | 9 | tpl = loadtpl(tpl,handle); 10 | 11 | str = get(tpl,'var',handle); 12 | for i=1:length(tpl.varkeys) 13 | str = strrep(str, strcat('{',tpl.varkeys{i},'}'), tpl.varvals{i}); 14 | end 15 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/Contents.m: -------------------------------------------------------------------------------- 1 | % M2HTML Toolbox - A Documentation Generator for Matlab in HTML 2 | % Version 1.4 16-Jun-2004 3 | % 4 | % M2HTML main functions. 5 | % m2html - Documentation System for Matlab M-files in HTML. 6 | % mdot - Wrapper to GraphViz's for dependency graphs. 7 | % mwizard - Graphical user interface for m2html. 8 | % private - Internal functions. 9 | % 10 | % Template toolbox. 11 | % @template - HTML template class 12 | % 13 | % Templates files. 14 | % templates/blue - Default HTML template. 15 | % templates/frame - Identical to but using frames. 16 | % 17 | % Others. 18 | % Changelog, GPL, INSTALL, LICENSE, README, TODO. 19 | 20 | % Copyright (C) 2003-2005 Guillaume Flandin 21 | % $Revision: 1.4 $Date: 2004/06/16 12:45:24 $ 22 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/LICENSE: -------------------------------------------------------------------------------- 1 | M2HTML - Documentation System for Matlab .m files in HTML 2 | Copyright (C) 2003-2005 Guillaume Flandin 3 | 4 | This program is free software; you can redistribute it and/or 5 | modify it under the terms of the GNU General Public License 6 | as published by the Free Software Foundation; either version 2 7 | of the License, or any later version. 8 | 9 | This program is distributed in the hope that it will be useful, 10 | but WITHOUT ANY WARRANTY; without even the implied warranty of 11 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 12 | GNU General Public License for more details. 13 | 14 | You should have received a copy of the GNU General Public License 15 | along with this program; if not, write to the Free Software 16 | Foundation Inc, 59 Temple Pl. - Suite 330, Boston, MA 02111-1307, USA. 17 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/mwizard.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/mwizard.m -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/mwizard2.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/mwizard2.m -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/private/m2htmltoolbarimages.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/private/m2htmltoolbarimages.mat -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/private/mexexts.m: -------------------------------------------------------------------------------- 1 | function [ext, platform] = mexexts 2 | %MEXEXTS List of Mex files extensions 3 | % MEXEXTS returns a cell array containing the Mex files platform 4 | % dependent extensions and another cell array containing the full names 5 | % of the corresponding platforms. 6 | % 7 | % See also MEX, MEXEXT 8 | 9 | % Copyright (C) 2003 Guillaume Flandin 10 | % $Revision: 1.0 $Date: 2003/29/04 17:33:43 $ 11 | 12 | ext = {'.mexsol' '.mexhpux' '.mexhp7' '.mexrs6' '.mexsg' '.mexaxp' '.mexglx' ... 13 | '.mexlx' '.dll'}; 14 | 15 | platform = {'SunOS' 'HP' 'HP700' 'IBM' 'SGI' 'Alpha' 'Linux x86' 'Linux' 'Windows'}; 16 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/private/openfile.m: -------------------------------------------------------------------------------- 1 | function fid = openfile(filename,permission) 2 | %OPENFILE Open a file in read/write mode, catching errors 3 | % FID = OPENFILE(FILENAME,PERMISSION) opens file FILENAME 4 | % in PERMISSION mode ('r' or 'w') and return a file identifier FID. 5 | % File is opened in text mode: no effect on Unix but useful on Windows. 6 | 7 | % Copyright (C) 2004 Guillaume Flandin 8 | % $Revision: 1.1 $Date: 2004/05/05 17:14:09 $ 9 | 10 | [fid, errmsg] = fopen(filename,[permission 't']); 11 | if ~isempty(errmsg) 12 | switch permission 13 | case 'r' 14 | error(sprintf('Cannot open %s in read mode.',filename)); 15 | case 'w' 16 | error(sprintf('Cannot open %s in write mode.',filename)); 17 | otherwise 18 | error(errmsg); 19 | end 20 | end 21 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/Thumbs.db: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/Thumbs.db -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/alpha.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/alpha.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/c++.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/c++.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/c.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/c.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/demoicon.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/demoicon.gif -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/down.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/down.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/fortran.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/fortran.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/hp.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/hp.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/left.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/left.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/linux.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/linux.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/matlabicon.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/matlabicon.gif -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/mex.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/mex.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/pcode.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/pcode.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/right.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/right.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/sgi.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/sgi.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/simulinkicon.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/simulinkicon.gif -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/solaris.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/solaris.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/up.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/up.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/windows.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/blue/windows.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/alpha.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/alpha.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/brain.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/brain.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/c++.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/c++.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/c.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/c.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/demoicon.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/demoicon.gif -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/down.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/down.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/fortran.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/fortran.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/graph.tpl: -------------------------------------------------------------------------------- 1 | 3 | 4 | 5 | Dependency Graph for {MDIR} 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 |

Dependency Graph for {MDIR}

16 | 17 |
18 | Dependency Graph for {MDIR} 19 | 20 | {GRAPH_MAP} 21 | 22 |
23 | 24 |
Generated by m2html © 2005
25 | 26 | 27 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/hp.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/hp.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/index.html: -------------------------------------------------------------------------------- 1 | 3 | 4 | 5 | Matlab Documentation by M2HTML 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | This is a Matlab Documentation by M2HTML.
19 | Go to menu.html for the documentation of all 20 | the Matlab functions. 21 | 22 | 23 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/left.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/left.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/linux.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/linux.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/matlabicon.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/matlabicon.gif -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/mex.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/mex.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/pcode.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/pcode.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/right.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/right.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/search.tpl: -------------------------------------------------------------------------------- 1 | 3 | 4 | 5 | Matlab Search Engine 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 |

Search Engine

16 | 17 |
18 | Search for 19 | 20 |
21 | 22 | 26 | 27 |
Generated on {DATE} by m2html © 2005
28 | 29 | 30 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/sgi.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/sgi.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/simulinkicon.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/simulinkicon.gif -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/solaris.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/solaris.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/up.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/up.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/windows.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/brain/windows.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/alpha.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/alpha.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/c++.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/c++.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/c.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/c.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/demoicon.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/demoicon.gif -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/down.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/down.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/favicon.ico: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/favicon.ico -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/fortran.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/fortran.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/graph.tpl: -------------------------------------------------------------------------------- 1 | 3 | 4 | 5 | Dependency Graph for {MDIR} 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 |

Dependency Graph for {MDIR}

16 | 17 |
18 | Dependency Graph for {MDIR} 19 | 20 | {GRAPH_MAP} 21 | 22 |
23 | 24 |
Generated by m2html © 2003
25 | 26 | 27 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/hp.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/hp.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/index.html: -------------------------------------------------------------------------------- 1 | 3 | 4 | 5 | Piotr's Matlab Toolbox 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | Sorry, your browser doesn't support frames. 20 | Go to menu.html for the documentation of all 21 | the Matlab functions. 22 | 23 | 24 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/left.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/left.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/linux.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/linux.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/matlabicon.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/matlabicon.gif -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/mex.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/mex.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/new.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/new.gif -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/right.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/right.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/sgi.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/sgi.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/simulinkicon.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/simulinkicon.gif -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/solaris.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/solaris.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/up.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/up.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/windows.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame-piotr/windows.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/alpha.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/alpha.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/c++.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/c++.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/c.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/c.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/demoicon.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/demoicon.gif -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/down.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/down.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/fortran.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/fortran.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/graph.tpl: -------------------------------------------------------------------------------- 1 | 3 | 4 | 5 | Dependency Graph for {MDIR} 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 |

Dependency Graph for {MDIR}

16 | 17 |
18 | Dependency Graph for {MDIR} 19 | 20 | {GRAPH_MAP} 21 | 22 |
23 | 24 |
Generated by m2html © 2005
25 | 26 | 27 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/hp.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/hp.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/index.html: -------------------------------------------------------------------------------- 1 | 3 | 4 | 5 | Matlab Documentation by M2HTML 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | This is a Matlab Documentation by M2HTML.
19 | Go to menu.html for the documentation of all 20 | the Matlab functions. 21 | 22 | 23 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/left.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/left.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/linux.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/linux.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/matlabicon.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/matlabicon.gif -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/mex.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/mex.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/pcode.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/pcode.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/right.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/right.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/search.tpl: -------------------------------------------------------------------------------- 1 | 3 | 4 | 5 | Matlab Search Engine 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 |

Search Engine

16 | 17 |
18 | Search for 19 | 20 |
21 | 22 | 26 | 27 |
Generated on {DATE} by m2html © 2005
28 | 29 | 30 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/sgi.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/sgi.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/simulinkicon.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/simulinkicon.gif -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/solaris.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/solaris.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/up.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/up.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/windows.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/m2html/templates/frame/windows.png -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/external/other/multiprod.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/external/other/multiprod.m -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/filters/FbDoG.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/filters/FbDoG.mat -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/filters/FbGabor.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/filters/FbGabor.mat -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/images/images.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/images/images.mat -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/images/movieToImages.m: -------------------------------------------------------------------------------- 1 | function I = movieToImages( M ) 2 | % Creates a stack of images from a matlab movie M. 3 | % 4 | % Repeatedly calls frame2im. Useful for playback with playMovie. 5 | % 6 | % USAGE 7 | % I = movieToImages( M ) 8 | % 9 | % INPUTS 10 | % M - a matlab movie 11 | % 12 | % OUTPUTS 13 | % I - MxNxT array (of images) 14 | % 15 | % EXAMPLE 16 | % load( 'images.mat' ); [X,map]=gray2ind(video(:,:,1)); 17 | % M = fevalArrays( video, @(x) im2frame(gray2ind(x),map) ); 18 | % I = movieToImages(M); playMovie(I); 19 | % 20 | % See also PLAYMOVIE 21 | % 22 | % Piotr's Computer Vision Matlab Toolbox Version 2.0 23 | % Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com] 24 | % Licensed under the Simplified BSD License [see external/bsd.txt] 25 | 26 | I = fevalArrays( M, @frame2Ii ); 27 | 28 | function I = frame2Ii( F ) 29 | 30 | [I,map] = frame2im( F ); 31 | if( isempty(map) ) 32 | if( size(I,3)==3 ) 33 | classname = class( I ); 34 | I = sum(I,3)/3; 35 | I = feval( classname, I ); 36 | end 37 | else 38 | I = ind2gray( I, map ); 39 | end 40 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/images/private/assignToBins1.mexmaci64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/images/private/assignToBins1.mexmaci64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/images/private/assignToBins1.mexw64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/images/private/assignToBins1.mexw64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/images/private/histc2c.mexmaci64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/images/private/histc2c.mexmaci64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/images/private/histc2c.mexw64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/images/private/histc2c.mexw64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/images/private/imtransform2_c.mexmaci64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/images/private/imtransform2_c.mexmaci64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/images/private/imtransform2_c.mexw64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/images/private/imtransform2_c.mexw64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/images/private/nlfiltersep_max.mexmaci64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/images/private/nlfiltersep_max.mexmaci64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/images/private/nlfiltersep_max.mexw64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/images/private/nlfiltersep_max.mexw64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/images/private/nlfiltersep_sum.mexmaci64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/images/private/nlfiltersep_sum.mexmaci64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/images/private/nlfiltersep_sum.mexw64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/images/private/nlfiltersep_sum.mexw64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/matlab/c.m: -------------------------------------------------------------------------------- 1 | % clc - clear command window. 2 | % 3 | % USAGE 4 | % c 5 | % 6 | % INPUTS 7 | % 8 | % OUTPUTS 9 | % 10 | % EXAMPLE 11 | % 12 | % See also CLC, CC, CCC 13 | % 14 | % Piotr's Computer Vision Matlab Toolbox Version 1.5 15 | % Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com] 16 | % Licensed under the Simplified BSD License [see external/bsd.txt] 17 | 18 | clc 19 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/matlab/cc.m: -------------------------------------------------------------------------------- 1 | % close all, clc 2 | % 3 | % USAGE 4 | % cc 5 | % 6 | % INPUTS 7 | % 8 | % OUTPUTS 9 | % 10 | % EXAMPLE 11 | % 12 | % See also C, CCC 13 | % 14 | % Piotr's Computer Vision Matlab Toolbox Version 1.5 15 | % Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com] 16 | % Licensed under the Simplified BSD License [see external/bsd.txt] 17 | 18 | close all; clc 19 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/matlab/ccc.m: -------------------------------------------------------------------------------- 1 | % clear, close all, clc, clear global 2 | % 3 | % USAGE 4 | % ccc 5 | % 6 | % INPUTS 7 | % 8 | % OUTPUTS 9 | % 10 | % EXAMPLE 11 | % 12 | % See also C, CC 13 | % 14 | % Piotr's Computer Vision Matlab Toolbox Version 1.5 15 | % Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com] 16 | % Licensed under the Simplified BSD License [see external/bsd.txt] 17 | 18 | clear; close all; clc; clear all; 19 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/matlab/diskFill.m: -------------------------------------------------------------------------------- 1 | function diskFill( tDir, nGig ) 2 | % Fill a harddisk with garbage files (useful before discarding disk). 3 | % 4 | % USAGE 5 | % diskFill( tDir, nGig ) 6 | % 7 | % INPUTS 8 | % tDir - target directory to fill with garbage 9 | % nGig - maximum number of gigabytes to write to disk 10 | % 11 | % OUTPUTS 12 | % 13 | % EXAMPLE 14 | % diskFill( 'k:', 500 ) 15 | % 16 | % See also 17 | % 18 | % Piotr's Computer Vision Matlab Toolbox Version 2.61 19 | % Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com] 20 | % Licensed under the Simplified BSD License [see external/bsd.txt] 21 | 22 | nm = sprintf('%s/garbage_%s_%05i_%%05i.mat',tDir,date,round(rand*10^5)); 23 | tid = ticStatus(); 24 | for i=1:nGig 25 | % write up to 1 GB of garbage bytes in chunks of 1 MB 26 | fid=fopen(sprintf(nm,i),'w'); mb=2^20; n=0; o=mb; 27 | while(n<2^30 && o==mb), o=fwrite(fid,rand(mb,1)); n=n+o; end 28 | try fclose(fid); catch, end; tocStatus( tid, i/nGig ); %#ok 29 | % if write failed (k<1), disk is presumably full 30 | if( o 22 | f=fopen([jobId '-done'],'w'); fclose(f); 23 | end 24 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/matlab/num2strs.m: -------------------------------------------------------------------------------- 1 | function Y = num2strs( X, varargin ) 2 | % Applies num2str to each element of an array X. 3 | % 4 | % USAGE 5 | % Y = num2strs( X, [varargin] ) 6 | % 7 | % INPUTS 8 | % X - array of number to convert to strings 9 | % varargin - [] additional input to num2str 10 | % 11 | % OUTPUTS 12 | % Y - cell array of strings 13 | % 14 | % EXAMPLE 15 | % Y = num2strs( [1.3 2.6; 3 11] ) 16 | % 17 | % See also NUM2STR 18 | % 19 | % Piotr's Computer Vision Matlab Toolbox Version 1.5 20 | % Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com] 21 | % Licensed under the Simplified BSD License [see external/bsd.txt] 22 | 23 | Y = cell(size(X)); 24 | for i=1:numel(X) 25 | Y{i} = num2str( X(i), varargin{:} ); 26 | end 27 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/matlab/plotGaussEllipses.m: -------------------------------------------------------------------------------- 1 | function hs = plotGaussEllipses( mus, Cs, rad ) 2 | % Plots 2D ellipses derived from 2D Gaussians specified by mus & Cs. 3 | % 4 | % USAGE 5 | % hs = plotGaussEllipses( mus, Cs, [rad] ) 6 | % 7 | % INPUTS 8 | % mus - k x 2 matrix of means 9 | % Cs - 2 x 2 x k covariance matricies 10 | % rad - [2] Number of std to create the ellipse to 11 | % 12 | % OUTPUTS 13 | % hs - handles to ellipses 14 | % 15 | % EXAMPLE 16 | % plotGaussEllipses( [ 10 10; 10 10 ], cat(3,eye(2),eye(2)*2) ); 17 | % 18 | % See also PLOTELLIPSE, GAUSS2ELLIPSE 19 | % 20 | % Piotr's Computer Vision Matlab Toolbox Version 2.0 21 | % Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com] 22 | % Licensed under the Simplified BSD License [see external/bsd.txt] 23 | 24 | if (nargin<3 || isempty(rad) ); rad=2; end 25 | colors = ['b', 'g', 'r', 'c', 'm', 'y', 'k']; nc = length(colors); 26 | 27 | washeld = ishold; if (~washeld); hold('on'); end 28 | hs = zeros( size(mus,1),1 ); 29 | for i=1:size( mus,1) 30 | [ cRow, ccol, ra, rb, phi ] = gauss2ellipse( mus(i,:), Cs(:,:,i), rad ); 31 | hs(i)=plotEllipse( cRow, ccol, ra, rb, phi, colors( mod(i-1,nc)+1) ); 32 | end 33 | if (~washeld); hold('off'); end 34 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/matlab/private/char2img_h015.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/matlab/private/char2img_h015.mat -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/matlab/private/char2img_h020.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/matlab/private/char2img_h020.mat -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/matlab/private/char2img_h025.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/matlab/private/char2img_h025.mat -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/matlab/private/char2img_h030.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/matlab/private/char2img_h030.mat -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/matlab/private/char2img_h035.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/matlab/private/char2img_h035.mat -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/matlab/private/char2img_h050.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/matlab/private/char2img_h050.mat -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/matlab/private/dijkstra1.mexmaci64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/matlab/private/dijkstra1.mexmaci64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/matlab/private/dijkstra1.mexw64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/matlab/private/dijkstra1.mexw64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/matlab/randint2.m: -------------------------------------------------------------------------------- 1 | function R = randint2( m, n, range ) 2 | % Faster but restricted version of randint. 3 | % 4 | % Generate matrix of uniformly distributed random integers. 5 | % R=randint2(m,n,range) generates an m-by-n matrix of random integers 6 | % between [range(1), range(2)]. Note that randint is part of the 7 | % 'Communications Toolbox' and may not be available on all systems. 8 | % 9 | % To test speed: 10 | % tic, for i=1:1000; R = randint( 100, 10, [0 10] ); end; toc 11 | % tic, for i=1:1000; R = randint2( 100, 10, [0 10] ); end; toc 12 | % 13 | % USAGE 14 | % R = randint2( m, n, range ) 15 | % 16 | % INPUTS 17 | % m - m rows 18 | % n - n cols 19 | % range - range of ints 20 | % 21 | % OUTPUTS 22 | % R - mxn matrix of integers 23 | % 24 | % EXAMPLE 25 | % R = randint2( 2, 5, [0 1] ) 26 | % 27 | % See also RANDINT 28 | % 29 | % Piotr's Computer Vision Matlab Toolbox Version 2.12 30 | % Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com] 31 | % Licensed under the Simplified BSD License [see external/bsd.txt] 32 | 33 | R = rand( m, n ); 34 | R = range(1) + floor( (range(2)-range(1)+1)*R ); 35 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/matlab/subsToArray.m: -------------------------------------------------------------------------------- 1 | function I = subsToArray( subs, vals, siz, fillVal ) 2 | % Converts subs/vals image representation to array representation. 3 | % 4 | % Constructs array from subs/vals representation. Similar to Matlab's 5 | % sparse command, except doesn't actually produce a sparse matrix. Uses 6 | % different conventions as well. 7 | % 8 | % USAGE 9 | % I = subsToArray( subs, vals, siz, [fillVal] ) 10 | % 11 | % INPUTS 12 | % subs - subscripts of point locations (n x d) 13 | % vals - values at point locations (n x 1) 14 | % siz - image size vector (1xd) - must fully contain subs 15 | % fillVal - [0] value to fill array with at nonspecified locs 16 | % 17 | % OUTPUTS 18 | % I - array of size siz 19 | % 20 | % EXAMPLE 21 | % 22 | % See also SUB2IND2, SPARSE 23 | % 24 | % Piotr's Computer Vision Matlab Toolbox Version 2.0 25 | % Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com] 26 | % Licensed under the Simplified BSD License [see external/bsd.txt] 27 | 28 | if( nargin<4 || isempty(fillVal) ); fillVal=0; end 29 | 30 | inds = sub2ind2( siz, subs ); 31 | I = repmat( fillVal, siz ); 32 | I(inds) = vals; 33 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/matlab/tpsRandom.m: -------------------------------------------------------------------------------- 1 | function w = tpsRandom( LnInv, bendE ) 2 | % Obtain a random warp with the same bending energy as the original. 3 | % 4 | % USAGE 5 | % w = tpsRandom( LnInv, bendE ) 6 | % 7 | % INPUTS 8 | % LnInv - [see tpsGetWarp] bookstein warping parameters 9 | % bendE - amount of bening energy for random warp to have 10 | % 11 | % OUTPUTS 12 | % w - nonlinear component of warp for use in tpsInterpolate 13 | % 14 | % EXAMPLE 15 | % 16 | % See also TPSGETWARP 17 | % 18 | % Piotr's Computer Vision Matlab Toolbox Version 2.0 19 | % Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com] 20 | % Licensed under the Simplified BSD License [see external/bsd.txt] 21 | 22 | n = size(LnInv,1); 23 | u = rand(n-3,1) - .5; 24 | u = u / norm(u); 25 | u = [u; 0; 0; 0]; 26 | 27 | % get U, sig, sigInv, requires some fanangling 28 | [U,sig] = eig(LnInv); 29 | U = real(U); sig=real(sig); 30 | sig( abs(sig)<.000001)=0; 31 | %sigInv = sig; 32 | %sigInv(abs(sig)>.000001) = 1./sigInv(abs(sig)>.000001); 33 | 34 | % get w (and v?) 35 | %v = sqrt(bendE)* U * sqrt(sigInv) * u; 36 | w = sqrt(bendE)* U * sqrt(sig) * u; 37 | 38 | % % should be eye(N) with 3 0's 39 | % sqrt(sigInv) * U' * LnInv * U * sqrt(sigInv) 40 | % % should be equal 41 | % v' * LnInv * v, bendE 42 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/videos/Contents.m: -------------------------------------------------------------------------------- 1 | % VIDEOS 2 | % See also 3 | % 4 | % Behavior annotation for seq files: 5 | % behaviorAnnotator - Caltech Behavior Annotator. 6 | % behaviorData - Retrieve and manipulate behavior annotation of a video. 7 | % 8 | % Seq files [custom codec free video format]: 9 | % seqIo - Utilities for reading and writing seq files. 10 | % seqReaderPlugin - Plugin for seqIo and videoIO to allow reading of seq files. 11 | % seqWriterPlugin - Plugin for seqIo and videoIO to allow writing of seq files. 12 | % seqPlayer - Simple GUI to play seq files. 13 | % 14 | % Image and sequence alignment: 15 | % imagesAlign - Fast and robust estimation of homography relating two images. 16 | % imagesAlignSeq - Stabilize image sequence using coarse optical flow estimation. 17 | % 18 | % Miscellaneous: 19 | % kernelTracker - Kernel Tracker from Comaniciu, Ramesh and Meer PAMI 2003. 20 | % opticalFlow - Coarse-to-fine optical flow using Lucas&Kanade or Horn&Schunck. 21 | -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/videos/imagesAlignSeq.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/videos/imagesAlignSeq.m -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/videos/opticalFlowTest.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/videos/opticalFlowTest.mat -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/videos/peds30-seek.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/videos/peds30-seek.mat -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/videos/peds30.seq: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/videos/peds30.seq -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/videos/private/ktComputeW_c.mexmaci64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/videos/private/ktComputeW_c.mexmaci64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/videos/private/ktComputeW_c.mexw64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/videos/private/ktComputeW_c.mexw64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/videos/private/ktHistcRgb_c.mexmaci64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/videos/private/ktHistcRgb_c.mexmaci64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/videos/private/ktHistcRgb_c.mexw64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/videos/private/ktHistcRgb_c.mexw64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/videos/private/opticalFlowHsMex.mexmaci64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/videos/private/opticalFlowHsMex.mexmaci64 -------------------------------------------------------------------------------- /ECO/external_libs/pdollar_toolbox/videos/private/opticalFlowHsMex.mexw64: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/external_libs/pdollar_toolbox/videos/private/opticalFlowHsMex.mexw64 -------------------------------------------------------------------------------- /ECO/feature_extraction/average_feature_region.m: -------------------------------------------------------------------------------- 1 | function [ region_image ] = average_feature_region(im, region_size) 2 | % compute cell wise averages, where a cell is a region_size*region_sized 3 | % region in the image. Input can be uint8t, single or double matrices 4 | % of arbitrary dimension 5 | 6 | region_area = region_size.^2; 7 | 8 | if isa(im,'double') || isa(im,'single') || isa(im,'gpuArray') 9 | maxval = 1.0; 10 | elseif isa(im,'unit8') 11 | maxval = 255; 12 | end 13 | 14 | % compute the integral image 15 | iImage = integralVecImage(im); 16 | 17 | % region indices 18 | i1 = (region_size:region_size:size(im,1)) + 1; 19 | i2 = (region_size:region_size:size(im,2)) + 1; 20 | 21 | % sum over region, divided by number of elements, and normalize to [0,1] 22 | % range if integer image 23 | region_image = (iImage(i1,i2,:,:) - iImage(i1,i2-region_size,:,:) - iImage(i1-region_size,i2,:,:) + iImage(i1-region_size,i2-region_size,:,:)) ./ (region_area * maxval); 24 | 25 | end 26 | 27 | -------------------------------------------------------------------------------- /ECO/feature_extraction/get_feature_extract_info.m: -------------------------------------------------------------------------------- 1 | function extract_info = get_feature_extract_info(features) 2 | 3 | % Find used image sample size 4 | extract_info.img_sample_sizes = {}; 5 | extract_info.img_input_sizes = {}; 6 | for feat_ind = 1:length(features) 7 | % if not equals any previously stored size 8 | if ~any(cellfun(@(sz) isequal(features{feat_ind}.img_sample_sz, sz), extract_info.img_sample_sizes)) 9 | extract_info.img_sample_sizes{end+1} = features{feat_ind}.img_sample_sz; 10 | extract_info.img_input_sizes{end+1} = features{feat_ind}.img_input_sz; 11 | end 12 | end -------------------------------------------------------------------------------- /ECO/feature_extraction/get_fhog.m: -------------------------------------------------------------------------------- 1 | function [ feature_image ] = get_fhog( im, fparam, gparam ) 2 | % Extract FHOG features using pdollar toolbox. 3 | % Currently assumes 9 gradient orientations. 4 | 5 | if ~isfield(fparam, 'nOrients') 6 | fparam.nOrients = 9; 7 | end 8 | 9 | [im_height, im_width, num_im_chan, num_images] = size(im); 10 | feature_image = zeros(floor(im_height/gparam.cell_size), floor(im_width/gparam.cell_size), fparam.nDim, num_images, 'single'); 11 | 12 | for k = 1:num_images 13 | hog_image = fhog(single(im(:,:,:,k)), gparam.cell_size, fparam.nOrients); 14 | 15 | %the last dimension is all 0 so we can discard it 16 | feature_image(:,:,:,k) = hog_image(:,:,1:end-1); 17 | end 18 | end -------------------------------------------------------------------------------- /ECO/feature_extraction/load_cnn.m: -------------------------------------------------------------------------------- 1 | function net = load_cnn(fparams, im_size) 2 | 3 | net = load(['networks/' fparams.nn_name]); 4 | net = vl_simplenn_tidy(net); 5 | net.layers = net.layers(1:max(fparams.output_layer)); 6 | 7 | if strcmpi(fparams.input_size_mode, 'cnn_default') 8 | base_input_sz = net.meta.normalization.imageSize(1:2); 9 | elseif strcmpi(fparams.input_size_mode, 'adaptive') 10 | base_input_sz = im_size(1:2); 11 | else 12 | error('Unknown input_size_mode'); 13 | end 14 | 15 | net.meta.normalization.imageSize(1:2) = round(base_input_sz .* fparams.input_size_scale); 16 | net.meta.normalization.averageImageOrig = net.meta.normalization.averageImage; 17 | 18 | if isfield(net.meta,'inputSize') 19 | net.meta.inputSize = base_input_sz; 20 | end 21 | 22 | if size(net.meta.normalization.averageImage,1) > 1 || size(net.meta.normalization.averageImage,2) > 1 23 | net.meta.normalization.averageImage = imresize(single(net.meta.normalization.averageImage), net.meta.normalization.imageSize(1:2)); 24 | end 25 | 26 | net.info = vl_simplenn_display(net); 27 | end -------------------------------------------------------------------------------- /ECO/feature_extraction/lookup_tables/CNnorm.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/feature_extraction/lookup_tables/CNnorm.mat -------------------------------------------------------------------------------- /ECO/feature_extraction/lookup_tables/intensityChannelNorm11.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/feature_extraction/lookup_tables/intensityChannelNorm11.mat -------------------------------------------------------------------------------- /ECO/feature_extraction/lookup_tables/intensityChannelNorm16.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/feature_extraction/lookup_tables/intensityChannelNorm16.mat -------------------------------------------------------------------------------- /ECO/feature_extraction/lookup_tables/intensityChannelNorm6.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/feature_extraction/lookup_tables/intensityChannelNorm6.mat -------------------------------------------------------------------------------- /ECO/feature_extraction/sample_patch.m: -------------------------------------------------------------------------------- 1 | function resized_patch = sample_patch(im, pos, sample_sz, output_sz, gparams) 2 | 3 | if nargin < 4 4 | output_sz = []; 5 | end 6 | if nargin < 5 7 | gparams.use_mexResize = true; 8 | end 9 | 10 | %make sure the size is not to small 11 | sample_sz = max(sample_sz, 2); 12 | 13 | xs = floor(pos(2)) + (1:sample_sz(2)) - floor(sample_sz(2)/2); 14 | ys = floor(pos(1)) + (1:sample_sz(1)) - floor(sample_sz(1)/2); 15 | 16 | %check for out-of-bounds coordinates, and set them to the values at 17 | %the borders 18 | xs(xs < 1) = 1; 19 | ys(ys < 1) = 1; 20 | xs(xs > size(im,2)) = size(im,2); 21 | ys(ys > size(im,1)) = size(im,1); 22 | 23 | %extract image 24 | im_patch = im(ys, xs, :); 25 | 26 | if isempty(output_sz) || isequal(sample_sz(:), output_sz(:)) 27 | resized_patch = im_patch; 28 | else 29 | if gparams.use_mexResize 30 | resized_patch = mexResize(im_patch, output_sz, 'auto'); 31 | else 32 | resized_patch = imresize(im_patch, output_sz, 'bilinear', 'Antialiasing',false); 33 | end 34 | end 35 | 36 | end 37 | 38 | -------------------------------------------------------------------------------- /ECO/feature_extraction/set_cnn_input_size.m: -------------------------------------------------------------------------------- 1 | function net = set_cnn_input_size(net, im_size) 2 | 3 | net.meta.normalization.imageSize(1:2) = round(im_size(1:2)); 4 | net.meta.normalization.averageImage = imresize(single(net.meta.normalization.averageImageOrig), net.meta.normalization.imageSize(1:2)); 5 | 6 | net.info = vl_simplenn_display(net); 7 | end -------------------------------------------------------------------------------- /ECO/feature_extraction/table_lookup.m: -------------------------------------------------------------------------------- 1 | function out=table_lookup(im,table) 2 | 3 | if isa(im,'uint8') 4 | im = int32(im); 5 | end; 6 | 7 | [im_height, im_width, num_im_chan, num_images] = size(im); 8 | 9 | den = int32(8); 10 | fac = int32(32); 11 | offset = int32(1); 12 | 13 | if num_im_chan == 3 14 | RR=im(:,:,1,:);GG=im(:,:,2,:);BB=im(:,:,3,:); 15 | index_im = offset + idivide(RR,den) + fac*idivide(GG,den) + fac*fac*idivide(BB,den); 16 | out = permute(reshape(table(index_im(:),:), im_height, im_width, num_images, size(table,2)), [1 2 4 3]); 17 | else 18 | out = permute(reshape(table(im(:)+1,:), im_height, im_width, num_images, size(table,2)), [1 2 4 3]); 19 | end; 20 | -------------------------------------------------------------------------------- /ECO/implementation/conjugate_gradient/diag_precond.m: -------------------------------------------------------------------------------- 1 | function hf_out = diag_precond(hf, M_diag) 2 | 3 | % This is the preconditioner operation in Conjugate Gradient 4 | 5 | hf_out = cellfun(@rdivide, hf, M_diag, 'uniformoutput',false); %hf; 6 | 7 | end -------------------------------------------------------------------------------- /ECO/implementation/conjugate_gradient/inner_product_cdcf.m: -------------------------------------------------------------------------------- 1 | function ip = inner_product_cdcf(xf, yf) 2 | 3 | % Computes the inner product between two filters. 4 | 5 | if size(xf,1) == 1 6 | % Only the filter 7 | ip_cell = cellfun(@(xf, yf) real(2*(xf(:)' * yf(:)) - reshape(xf(:,end,:), [], 1, 1)' * reshape(yf(:,end,:), [], 1, 1)), xf, yf, 'uniformoutput', false'); 8 | ip = sum(cell2mat(ip_cell)); 9 | else 10 | % Joint inner product with the filter and projection matrix 11 | ip_cell = cellfun(@(xf, yf) real(2*(xf(:)' * yf(:)) - reshape(xf(:,end,:), [], 1, 1)' * reshape(yf(:,end,:), [], 1, 1)), xf(1,1,:), yf(1,1,:), 'uniformoutput', false); 12 | ip = sum(cell2mat(ip_cell)) + sum(cellfun(@(xf, yf) real(xf(:)' * yf(:)), xf(2,1,:), yf(2,1,:))); 13 | end -------------------------------------------------------------------------------- /ECO/implementation/conjugate_gradient/norm_cdcf.m: -------------------------------------------------------------------------------- 1 | function nx = norm_cdcf(xf) 2 | 3 | % Computes the norm of the filter. 4 | 5 | nx = sqrt(inner_product_cdcf(xf,xf)); -------------------------------------------------------------------------------- /ECO/implementation/dim_reduction/project_sample.m: -------------------------------------------------------------------------------- 1 | function x = project_sample(x, P) 2 | 3 | if ~isempty(P) 4 | x = cellfun(@(x, P) permute(mtimesx(permute(x, [4 3 1 2]), P, 'speed'), [3 4 2 1]), x, P, 'uniformoutput', false); 5 | end -------------------------------------------------------------------------------- /ECO/implementation/fourier_tools/cfft2.m: -------------------------------------------------------------------------------- 1 | function xf = cfft2(x) 2 | 3 | % calculate output size 4 | in_sz = size(x); 5 | 6 | % if both dimensions are odd 7 | if all(mod(in_sz(1:2), 2) == 1) 8 | xf = fftshift(fftshift(fft2(x), 1), 2); 9 | else 10 | out_sz = in_sz; 11 | out_sz(1:2) = out_sz(1:2) + mod(out_sz(1:2)+1,2); 12 | 13 | % allocate 14 | xf = complex(zeros(out_sz, 'single')); 15 | 16 | xf(1:in_sz(1),1:in_sz(2),:,:) = fftshift(fftshift(fft2(x), 1), 2); 17 | 18 | if out_sz(1) ~= in_sz(1) 19 | xf(end,:,:,:) = conj(fliplr(xf(1,:,:,:))); 20 | end 21 | if out_sz(2) ~= in_sz(2) 22 | xf(:,end,:,:) = conj(flipud(xf(:,1,:,:))); 23 | end 24 | end -------------------------------------------------------------------------------- /ECO/implementation/fourier_tools/cifft2.m: -------------------------------------------------------------------------------- 1 | function x = cifft2(xf) 2 | 3 | x = ifft2(ifftshift(ifftshift(xf, 1), 2), 'symmetric'); -------------------------------------------------------------------------------- /ECO/implementation/fourier_tools/compact_fourier_coeff.m: -------------------------------------------------------------------------------- 1 | function xf = compact_fourier_coeff(xf) 2 | 3 | % Creates a compact fourier series representation by removing the strict right 4 | % half plane. 5 | 6 | if iscell(xf) 7 | xf = cellfun(@(xf) xf(:,1:(size(xf,2)+1)/2,:), xf, 'uniformoutput', false); 8 | else 9 | xf = xf(:,1:(size(xf,2)+1)/2,:); 10 | end -------------------------------------------------------------------------------- /ECO/implementation/fourier_tools/cubic_spline_fourier.m: -------------------------------------------------------------------------------- 1 | function bf = cubic_spline_fourier(f, a) 2 | 3 | % The continuous Fourier transform of a cubic spline kernel. 4 | 5 | bf = -(- 12*a + 12*exp(-pi*f*2i) + 12*exp(pi*f*2i) + 6*a*exp(-pi*f*4i) + ... 6 | 6*a*exp(pi*f*4i) + f.*(pi*exp(-pi*f*2i)*12i) - f.*(pi*exp(pi*f*2i)*12i) + ... 7 | a*f.*(pi*exp(-pi*f*2i)*16i) - a*f.*(pi*exp(pi*f*2i)*16i) + ... 8 | a*f.*(pi*exp(-pi*f*4i)*4i) - a*f.*(pi*exp(pi*f*4i)*4i) - 24)./(16*f.^4*pi^4); 9 | 10 | bf(f == 0) = 1; -------------------------------------------------------------------------------- /ECO/implementation/fourier_tools/full_fourier_coeff.m: -------------------------------------------------------------------------------- 1 | function xf = full_fourier_coeff(xf) 2 | 3 | % Reconstructs the full Fourier series coefficients. 4 | 5 | if iscell(xf) 6 | xf = cellfun(@(xf) cat(2, xf, conj(rot90(xf(:,1:end-1,:), 2))), xf, 'uniformoutput', false); 7 | else 8 | xf = cat(2, xf, conj(rot90(xf(:,1:end-1,:), 2))); 9 | end -------------------------------------------------------------------------------- /ECO/implementation/fourier_tools/resizeDFT.m: -------------------------------------------------------------------------------- 1 | function resizeddft = resizeDFT(inputdft, desiredLen) 2 | 3 | % Resizes a one-dimensional DFT to the desired length. 4 | 5 | len = length(inputdft); 6 | minsz = min(len, desiredLen); 7 | 8 | scaling = desiredLen/len; 9 | 10 | if size(inputdft, 1) > 1 11 | newSize = [desiredLen 1]; 12 | else 13 | newSize = [1 desiredLen]; 14 | end 15 | 16 | resizeddft = complex(zeros(newSize, 'single')); 17 | 18 | mids = ceil(minsz/2); 19 | mide = floor((minsz-1)/2) - 1; 20 | 21 | resizeddft(1:mids) = scaling * inputdft(1:mids); 22 | resizeddft(end - mide:end) = scaling * inputdft(end - mide:end); 23 | end -------------------------------------------------------------------------------- /ECO/implementation/fourier_tools/sample_fs.m: -------------------------------------------------------------------------------- 1 | function x = sample_fs(xf, grid_sz) 2 | 3 | % Samples the Fourier series 4 | 5 | sz = [size(xf,1) size(xf,2)]; 6 | 7 | if nargin < 2 8 | x = prod(sz) * cifft2(xf); 9 | else 10 | if any(grid_sz < sz) 11 | error('The grid size must be larger than or equal to the signal size') 12 | end 13 | tot_pad = grid_sz - sz; 14 | pad_sz = ceil(tot_pad/2); 15 | xf_pad = padarray(xf, pad_sz); 16 | if any(mod(tot_pad,2) == 1) 17 | % Handle odd padding 18 | xf_pad = xf_pad(1:end-mod(tot_pad(1),2), 1:end-mod(tot_pad(2),2), :, :); 19 | end 20 | x = prod(grid_sz) * cifft2(xf_pad); 21 | end 22 | 23 | 24 | -------------------------------------------------------------------------------- /ECO/implementation/fourier_tools/shift_sample.m: -------------------------------------------------------------------------------- 1 | function xf = shift_sample(xf, shift, kx, ky) 2 | 3 | % Shift a sample in the Fourier domain. The shift should be normalized to 4 | % the range [-pi, pi]. 5 | 6 | shift_exp_y = cellfun(@(ky) exp((1i * shift(1)) * ky), ky, 'uniformoutput', false); 7 | shift_exp_x = cellfun(@(kx) exp((1i * shift(2)) * kx), kx, 'uniformoutput', false); 8 | xf = cellfun(@(xf, sy, sx) bsxfun(@times, bsxfun(@times, xf, sy), sx), xf, shift_exp_y, shift_exp_x, 'uniformoutput', false); -------------------------------------------------------------------------------- /ECO/implementation/fourier_tools/symmetrize_filter.m: -------------------------------------------------------------------------------- 1 | function hf = symmetrize_filter(hf) 2 | 3 | % Ensure hermetian symmetry. 4 | 5 | for k = 1:length(hf) 6 | dc_ind = (size(hf{k},1) + 1) / 2; 7 | hf{k}(dc_ind+1:end,end,:) = conj(flipud(hf{k}(1:dc_ind-1,end,:))); 8 | end -------------------------------------------------------------------------------- /ECO/implementation/initialization/init_feature_params.m: -------------------------------------------------------------------------------- 1 | function feature_params = init_feature_params(features, feature_info) 2 | 3 | % Initialize some feature parameters. 4 | 5 | feature_dim = feature_info.dim; 6 | num_features = length(features); 7 | num_feature_blocks = length(feature_dim); 8 | 9 | feature_params.compressed_dim_block = cell(num_features, 1); 10 | 11 | for k = 1:num_features 12 | if ~isfield(features{k}.fparams, 'compressed_dim') 13 | features{k}.fparams.compressed_dim = features{k}.fparams.nDim; 14 | end 15 | 16 | feature_params.compressed_dim_block{k} = features{k}.fparams.compressed_dim(:); 17 | end 18 | 19 | feature_params.compressed_dim = cell2mat(feature_params.compressed_dim_block); -------------------------------------------------------------------------------- /ECO/implementation/interpolation/interpolate_dft.m: -------------------------------------------------------------------------------- 1 | function xf = interpolate_dft(xf, interp1_fs, interp2_fs) 2 | 3 | % Performs the implicit interpolation in the Fourier domain of a sample by 4 | % multiplying with the Fourier coefficients of the interpolation function. 5 | 6 | xf = cellfun(@(xf, interp1_fs, interp2_fs) bsxfun(@times, bsxfun(@times, xf, interp1_fs), interp2_fs), ... 7 | xf, interp1_fs, interp2_fs, 'uniformoutput', false); 8 | -------------------------------------------------------------------------------- /ECO/implementation/scale_filter/feature_projection_scale.m: -------------------------------------------------------------------------------- 1 | function z = feature_projection_scale(x, projection_matrix, cos_window) 2 | 3 | % do the windowing of the output 4 | z = bsxfun(@times, cos_window, projection_matrix * x); 5 | end -------------------------------------------------------------------------------- /ECO/result_plots/OTB-2015_succsess_plot.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/result_plots/OTB-2015_succsess_plot.pdf -------------------------------------------------------------------------------- /ECO/result_plots/OTB-2015_succsess_plot.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/result_plots/OTB-2015_succsess_plot.png -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0001.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0001.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0002.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0002.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0003.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0003.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0004.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0004.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0005.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0005.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0006.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0006.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0007.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0007.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0008.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0008.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0009.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0009.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0010.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0010.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0011.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0011.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0012.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0012.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0013.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0013.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0014.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0014.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0015.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0015.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0016.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0016.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0017.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0017.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0018.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0018.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0019.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0019.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0020.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0020.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0021.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0021.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0022.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0022.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0023.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0023.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0024.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0024.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0025.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0025.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0026.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0026.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0027.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0027.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0028.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0028.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0029.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0029.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0030.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0030.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0031.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0031.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0032.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0032.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0033.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0033.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0034.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0034.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0035.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0035.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0036.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0036.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0037.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0037.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0038.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0038.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0039.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0039.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0040.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0040.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0041.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0041.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0042.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0042.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0043.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0043.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0044.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0044.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0045.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0045.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0046.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0046.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0047.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0047.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0048.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0048.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0049.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0049.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0050.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0050.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0051.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0051.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0052.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0052.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0053.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0053.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0054.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0054.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0055.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0055.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0056.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0056.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0057.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0057.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0058.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0058.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0059.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0059.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0060.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0060.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0061.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0061.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0062.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0062.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0063.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0063.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0064.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0064.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0065.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0065.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0066.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0066.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0067.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0067.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0068.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0068.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0069.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0069.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0070.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0070.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0071.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0071.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0072.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0072.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0073.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0073.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0074.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0074.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0075.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0075.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0076.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0076.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0077.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0077.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0078.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0078.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0079.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0079.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0080.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0080.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0081.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0081.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0082.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0082.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0083.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0083.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0084.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0084.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0085.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0085.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0086.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0086.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0087.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0087.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0088.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0088.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0089.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0089.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0090.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0090.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0091.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0091.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0092.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0092.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0093.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0093.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0094.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0094.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0095.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0095.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0096.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0096.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0097.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0097.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0098.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0098.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0099.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0099.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0100.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0100.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0101.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0101.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0102.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0102.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0103.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0103.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0104.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0104.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0105.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0105.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0106.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0106.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0107.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0107.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0108.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0108.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0109.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0109.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0110.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0110.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0111.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0111.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0112.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0112.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0113.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0113.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0114.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0114.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0115.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0115.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0116.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0116.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0117.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0117.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0118.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0118.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0119.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0119.jpg -------------------------------------------------------------------------------- /ECO/sequences/Crossing/img/0120.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/ECO/sequences/Crossing/img/0120.jpg -------------------------------------------------------------------------------- /ECO/setup_paths.m: -------------------------------------------------------------------------------- 1 | function setup_paths() 2 | 3 | % Add the neccesary paths 4 | 5 | [pathstr, name, ext] = fileparts(mfilename('fullpath')); 6 | 7 | % Tracker implementation 8 | addpath(genpath([pathstr '/implementation/'])); 9 | 10 | % Runfiles 11 | addpath([pathstr '/runfiles/']); 12 | 13 | % Utilities 14 | addpath([pathstr '/utils/']); 15 | 16 | % The feature extraction 17 | addpath(genpath([pathstr '/feature_extraction/'])); 18 | 19 | % Matconvnet 20 | addpath([pathstr '/external_libs/matconvnet/matlab/mex/']); 21 | addpath([pathstr '/external_libs/matconvnet/matlab']); 22 | addpath([pathstr '/external_libs/matconvnet/matlab/simplenn']); 23 | 24 | % PDollar toolbox 25 | addpath(genpath([pathstr '/external_libs/pdollar_toolbox/channels'])); 26 | 27 | % Mtimesx 28 | addpath([pathstr '/external_libs/mtimesx/']); 29 | 30 | % mexResize 31 | addpath([pathstr '/external_libs/mexResize/']); -------------------------------------------------------------------------------- /ECO/utils/load_video_info.m: -------------------------------------------------------------------------------- 1 | function [seq, ground_truth] = load_video_info(video_path) 2 | 3 | ground_truth = dlmread([video_path '/groundtruth_rect.txt']); 4 | 5 | seq.len = size(ground_truth, 1); 6 | seq.init_rect = ground_truth(1,:); 7 | 8 | img_path = [video_path '/img/']; 9 | 10 | if exist([img_path num2str(1, '%04i.png')], 'file'), 11 | img_files = num2str((1:seq.len)', [img_path '%04i.png']); 12 | elseif exist([img_path num2str(1, '%04i.jpg')], 'file'), 13 | img_files = num2str((1:seq.len)', [img_path '%04i.jpg']); 14 | elseif exist([img_path num2str(1, '%04i.bmp')], 'file'), 15 | img_files = num2str((1:seq.len)', [img_path '%04i.bmp']); 16 | else 17 | error('No image files to load.') 18 | end 19 | 20 | seq.s_frames = cellstr(img_files); 21 | 22 | end 23 | 24 | -------------------------------------------------------------------------------- /MOT_track.m: -------------------------------------------------------------------------------- 1 | % track a target 2 | function tracker = MOT_track(frame_idx, frame_image, frame_size, bboxes, tracker, opt, seq_name) 3 | 4 | if tracker.state == opt.STATE_TRACKED || tracker.state == opt.STATE_ACTIVATED 5 | tracker.num_occluded = 0; 6 | tracker.num_tracked = tracker.num_tracked + 1; 7 | tracker = track_frame(tracker, frame_idx, frame_image, bboxes, [], seq_name, opt); 8 | 9 | % check if target exits from the camera view 10 | [~, ov] = calc_overlap(tracker.bboxes, numel(tracker.bboxes.fr), frame_size, 1); 11 | if ov < opt.exit_thre 12 | if opt.is_print 13 | fprintf('The target exits from the camera view.\n'); 14 | end 15 | tracker.state = opt.STATE_STOP; 16 | end 17 | end -------------------------------------------------------------------------------- /concatenate_bboxes.m: -------------------------------------------------------------------------------- 1 | % concatenate two bboxes structs 2 | function bboxes_concat = concatenate_bboxes(bboxes1, bboxes2) 3 | 4 | if isempty(bboxes2) 5 | bboxes_concat = bboxes1; 6 | else 7 | field_list = fieldnames(bboxes1); 8 | for i = 1:length(field_list), 9 | f = field_list{i}; 10 | bboxes_concat.(f) = [bboxes1.(f); bboxes2.(f)]; 11 | end 12 | end -------------------------------------------------------------------------------- /devkit/run_evaluation.m: -------------------------------------------------------------------------------- 1 | benchmarkDir = 'data/MOT16/train/'; 2 | allMets = evaluateTracking('c5-train.txt', 'results/', benchmarkDir); 3 | -------------------------------------------------------------------------------- /devkit/seqmaps/c2-test.txt: -------------------------------------------------------------------------------- 1 | name 2 | TUD-Crossing 3 | PETS09-S2L2 4 | ETH-Jelmoli 5 | ETH-Linthescher 6 | ETH-Crossing 7 | AVG-TownCentre 8 | ADL-Rundle-1 9 | ADL-Rundle-3 10 | KITTI-16 11 | KITTI-19 12 | Venice-1 13 | -------------------------------------------------------------------------------- /devkit/seqmaps/c2-train.txt: -------------------------------------------------------------------------------- 1 | name 2 | TUD-Stadtmitte 3 | TUD-Campus 4 | PETS09-S2L1 5 | ETH-Bahnhof 6 | ETH-Sunnyday 7 | ETH-Pedcross2 8 | ADL-Rundle-6 9 | ADL-Rundle-8 10 | KITTI-13 11 | KITTI-17 12 | Venice-2 13 | -------------------------------------------------------------------------------- /devkit/seqmaps/c3-test.txt: -------------------------------------------------------------------------------- 1 | name 2 | PETS09-S2L2 3 | ETH-Jelmoli 4 | ETH-Linthescher 5 | AVG-TownCentre 6 | -------------------------------------------------------------------------------- /devkit/seqmaps/c3-train.txt: -------------------------------------------------------------------------------- 1 | name 2 | TUD-Stadtmitte 3 | PETS09-S2L1 4 | ETH-Bahnhof 5 | ETH-Sunnyday 6 | -------------------------------------------------------------------------------- /devkit/seqmaps/c4-test.txt: -------------------------------------------------------------------------------- 1 | name 2 | ADL-Rundle-1 3 | ADL-Rundle-3 4 | Venice-1 5 | -------------------------------------------------------------------------------- /devkit/seqmaps/c4-train.txt: -------------------------------------------------------------------------------- 1 | name 2 | ADL-Rundle-6 3 | ADL-Rundle-8 4 | Venice-2 5 | -------------------------------------------------------------------------------- /devkit/seqmaps/c5-test.txt: -------------------------------------------------------------------------------- 1 | name 2 | MOT16-01 3 | MOT16-03 4 | MOT16-06 5 | MOT16-07 6 | MOT16-08 7 | MOT16-12 8 | MOT16-14 9 | -------------------------------------------------------------------------------- /devkit/seqmaps/c5-train.txt: -------------------------------------------------------------------------------- 1 | name 2 | MOT16-02 3 | MOT16-04 4 | MOT16-05 5 | MOT16-09 6 | MOT16-10 7 | MOT16-11 8 | MOT16-13 9 | -------------------------------------------------------------------------------- /devkit/utils/boxIntersect.m: -------------------------------------------------------------------------------- 1 | function isect=boxIntersect(bboxleft1, bboxright1, bboxbottom1, bboxup1, bboxleft2, bboxright2, bboxbottom2, bboxup2) 2 | % Compute intersection area of two bouding boxes A,B 3 | % A=[bboxleft1 bboxbottom1 abs(bboxright1-bboxleft1) abs(bboxbottom1-bboxup1)]; 4 | % B=[bboxleft2 bboxbottom2 abs(bboxright2-bboxleft2) abs(bboxbottom2-bboxup2)]; 5 | % 6 | % isect=rectint(A,B); 7 | isect=0; 8 | 9 | hor= max(0,min(bboxright1,bboxright2) - max(bboxleft1,bboxleft2)); 10 | 11 | if ~hor, return; end 12 | ver= max(0,min(bboxbottom1,bboxbottom2) - max(bboxup1,bboxup2)); 13 | if ~ver, return; end 14 | 15 | isect = hor*ver; 16 | 17 | end -------------------------------------------------------------------------------- /devkit/utils/boxUnion.m: -------------------------------------------------------------------------------- 1 | function union=boxUnion(bboxleft1, bboxright1, bboxbottom1, bboxup1, bboxleft2, bboxright2, bboxbottom2, bboxup2,isect) 2 | % Compute union of two bounding boxes 3 | 4 | a1=bboxright1-bboxleft1; 5 | b1=bboxbottom1-bboxup1; 6 | a2=bboxright2-bboxleft2; 7 | b2=bboxbottom2-bboxup2; 8 | union=a1*b1+a2*b2; 9 | if nargin>8 10 | bisect=isect; 11 | else 12 | bisect=boxIntersect(bboxleft1, bboxright1, bboxbottom1, bboxup1, bboxleft2, bboxright2, bboxbottom2, bboxup2); 13 | end 14 | union=union-bisect; 15 | 16 | 17 | end 18 | -------------------------------------------------------------------------------- /devkit/utils/boxiou.m: -------------------------------------------------------------------------------- 1 | function iou=boxiou(x1,y1,w1,h1,x2,y2,w2,h2) 2 | % compute intersection over union of two bboxes 3 | % 4 | 5 | bisect=boxIntersect(x1,x1+w1,y1+h1,y1,x2,x2+w2,y2+h2,y2); 6 | iou=0; 7 | if ~bisect, return; end 8 | 9 | bunion=boxUnion(x1,x1+w1,y1+h1,y1,x2,x2+w2,y2+h2,y2,bisect); 10 | 11 | assert(bunion>0,'something wrong with union computation'); 12 | iou=bisect/bunion; 13 | 14 | end -------------------------------------------------------------------------------- /devkit/utils/camera/README.md: -------------------------------------------------------------------------------- 1 | # Camera Utility Files 2 | 3 | This folder contains scripts for computing image-to-world and world-to-image projections. 4 | 5 | `calib_towncentre.m` is to be used with the AVG-TownCentre sequence. 6 | 7 | The rest is for the PETS sequence, which follows the Tsai camera model. parseCameraParameters can be used to read the camera xml file and the two scripts `imageToWorld.m` and `worldToImage.m` contain the projection routines. -------------------------------------------------------------------------------- /devkit/utils/camera/distortedToUndistortedImageCoord.m: -------------------------------------------------------------------------------- 1 | function [Xfu Yfu]=distortedToUndistortedImageCoord (Xfd, Yfd, mDpx, mDpy, mCx, mCy, mSx, mKappa1) 2 | 3 | 4 | % /* convert from image to sensor coordinates */ 5 | Xd = mDpx * (Xfd - mCx) / mSx; 6 | Yd = mDpy * (Yfd - mCy); 7 | 8 | % /* convert from distorted sensor to undistorted sensor plane coordinates */ 9 | [Xu Yu]=distortedToUndistortedSensorCoord(Xd, Yd, mKappa1); 10 | 11 | % /* convert from sensor to image coordinates */ 12 | Xfu = Xu * mSx / mDpx + mCx; 13 | Yfu = Yu / mDpy + mCy; 14 | 15 | end -------------------------------------------------------------------------------- /devkit/utils/camera/distortedToUndistortedSensorCoord.m: -------------------------------------------------------------------------------- 1 | function [Xu Yu]=distortedToUndistortedSensorCoord (Xd, Yd, mKappa1) 2 | % /* convert from distorted to undistorted sensor plane coordinates */ 3 | distortion_factor = 1 + mKappa1 * (Xd*Xd + Yd*Yd); 4 | Xu = Xd * distortion_factor; 5 | Yu = Yd * distortion_factor; 6 | end -------------------------------------------------------------------------------- /devkit/utils/camera/getRotTrans.m: -------------------------------------------------------------------------------- 1 | function [mR, mT]=getRotTrans(camPar) 2 | % 3 | % 4 | % (C) Anton Andriyenko, 2012 5 | % 6 | % The code may be used free of charge for non-commercial and 7 | % educational purposes, the only requirement is that this text is 8 | % preserved within the derivative work. For any other purpose you 9 | % must contact the authors for permission. This code may not be 10 | % redistributed without written permission from the authors. 11 | 12 | if camPar.ortho 13 | mR=camPar.mR; mT=camPar.mT; 14 | else 15 | %%% Rotation Translation %%% 16 | mT=[camPar.mExt.mTx;camPar.mExt.mTy;camPar.mExt.mTz]; 17 | sa = sin(camPar.mExt.mRx); 18 | ca = cos(camPar.mExt.mRx); 19 | sb = sin(camPar.mExt.mRy); 20 | cb = cos(camPar.mExt.mRy); 21 | sg = sin(camPar.mExt.mRz); 22 | cg = cos(camPar.mExt.mRz); 23 | 24 | mR11 = cb * cg; 25 | mR12 = cg * sa * sb - ca * sg; 26 | mR13 = sa * sg + ca * cg * sb; 27 | mR21 = cb * sg; 28 | mR22 = sa * sb * sg + ca * cg; 29 | mR23 = ca * sb * sg - cg * sa; 30 | mR31 = -sb; 31 | mR32 = cb * sa; 32 | mR33 = ca * cb; 33 | 34 | mR=[mR11 mR12 mR13; 35 | mR21 mR22 mR23; 36 | mR31 mR32 mR33]; 37 | end 38 | end -------------------------------------------------------------------------------- /devkit/utils/camera/undistortedToDistortedImageCoord.m: -------------------------------------------------------------------------------- 1 | function [Xfd Yfd]=undistortedToDistortedImageCoord (Xfu, Yfu, mDpx, mDpy, mCx, mCy, mSx, mKappa1) 2 | 3 | 4 | % /* convert from image to sensor coordinates */ 5 | Xu = mDpx * (Xfu - mCx) / mSx; 6 | Yu = mDpy * (Yfu - mCy); 7 | 8 | % /* convert from undistorted sensor to distorted sensor plane coordinates */ 9 | [Xd Yd]=undistortedToDistortedSensorCoord(Xu, Yu, mKappa1); 10 | 11 | % /* convert from sensor to image coordinates */ 12 | Xfd = Xd * mSx / mDpx + mCx; 13 | Yfd = Yd / mDpy + mCy; 14 | end -------------------------------------------------------------------------------- /devkit/utils/camera/worldToImage.m: -------------------------------------------------------------------------------- 1 | function [Xi Yi]=worldToImage(Xw,Yw,Zw,mR,mT,mInt,mGeo) 2 | 3 | % if scalar, just up/downscale = orthographic 4 | if length(mR)==1 5 | Xi=Xw/mR; 6 | Yi=Yw/mR; 7 | else 8 | 9 | % /* convert from world coordinates to camera coordinates */ 10 | x=[mR mT]*[Xw;Yw;Zw;1]; 11 | xc = x(1); 12 | yc = x(2); 13 | zc = x(3); 14 | 15 | % /* convert from camera coordinates to undistorted sensor plane coordinates */ 16 | Xu = mInt.mFocal * xc / zc; 17 | Yu = mInt.mFocal * yc / zc; 18 | 19 | % /* convert from undistorted to distorted sensor plane coordinates */ 20 | [Xd Yd]=undistortedToDistortedSensorCoord (Xu, Yu, mInt.mKappa1); 21 | % Xd=Xu; 22 | % Yd=Yu; 23 | 24 | % Rusq=Xu*Xu+Yu*Yu; 25 | % Ru=sqrt(Xu*Xu+Yu*Yu); 26 | % Xd=Xu*(1+mInt.mKappa1*Rusq); 27 | % Yd=Yu*(1+mInt.mKappa1*Rusq); 28 | 29 | 30 | % /* convert from distorted sensor plane coordinates to image coordinates */ 31 | Xi = Xd * mInt.mSx / mGeo.mDpx + mInt.mCx; 32 | Yi = Yd / mGeo.mDpy + mInt.mCy; 33 | end 34 | end -------------------------------------------------------------------------------- /devkit/utils/classIDToString.m: -------------------------------------------------------------------------------- 1 | function classString = classIDToString(classID) 2 | 3 | labels = getClassLabels; 4 | 5 | if classID<1 || classID>length(labels) 6 | classString='unknown'; 7 | else 8 | classString = char(labels{classID}); 9 | end 10 | 11 | end -------------------------------------------------------------------------------- /devkit/utils/classStringToID.m: -------------------------------------------------------------------------------- 1 | find(strcmp(labels,'occluder')) -------------------------------------------------------------------------------- /devkit/utils/external/iniconfig/IniConfig.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/devkit/utils/external/iniconfig/IniConfig.m -------------------------------------------------------------------------------- /devkit/utils/getClassLabels.m: -------------------------------------------------------------------------------- 1 | function labels = getClassLabels() 2 | 3 | labels={'ped', ... % 1 4 | 'person_on_vhcl', ... % 2 5 | 'car', ... % 3 6 | 'bicycle', ... % 4 7 | 'mbike', ... % 5 8 | 'non_mot_vhcl', ... % 6 9 | 'static_person', ... % 7 10 | 'distractor', ... % 8 11 | 'occluder', ... % 9 12 | 'occluder_on_grnd', ... %10 13 | 'occluder_full', ... % 11 14 | 'reflection', ... % 12 15 | 'crowd' ... % 13 16 | }; 17 | 18 | 19 | end -------------------------------------------------------------------------------- /devkit/utils/getImgExt.m: -------------------------------------------------------------------------------- 1 | function imgExt = getImgExt(seqFolder) 2 | % return image extension including the dot 3 | % e.g. '.jpg' 4 | 5 | imgExt = '.jpg'; 6 | 7 | 8 | 9 | 10 | -------------------------------------------------------------------------------- /devkit/utils/getSeqInfoFromFile.m: -------------------------------------------------------------------------------- 1 | function [seqName, seqFolder, imgFolder, frameRate, F, imWidth, imHeight, imgExt] ... 2 | = getSeqInfoFromFile(seq, dataDir) 3 | % construct variables with relevant information about the sequence 'seq' 4 | % 5 | 6 | seqName=char(seq); 7 | seqFolder= [dataDir,seqName,filesep]; 8 | 9 | 10 | seqInfoFile = [dataDir,seqName,filesep,'seqinfo.ini']; 11 | ini = IniConfig(); 12 | ini.ReadFile(seqInfoFile); 13 | 14 | imgFolder = ini.GetValues('Sequence','imDir'); 15 | frameRate = ini.GetValues('Sequence','frameRate'); 16 | F=ini.GetValues('Sequence','seqLength'); 17 | imWidth=ini.GetValues('Sequence','imWidth'); 18 | imHeight=ini.GetValues('Sequence','imHeight'); 19 | imgExt = ini.GetValues('Sequence','imExt'); 20 | 21 | end 22 | -------------------------------------------------------------------------------- /devkit/utils/parseSequences.m: -------------------------------------------------------------------------------- 1 | function allseq = parseSequences(seqmapFile) 2 | % parse sequence map 3 | % seqmapFile - a file containing the sequence names 4 | % to be processed. First line is ignored. e.g. 5 | % 6 | % -------------- 7 | % name 8 | % TUD-Stadtmitte 9 | % TUD-Campus 10 | % -------------- 11 | % 12 | % returns a cell array with all the sequence names 13 | 14 | 15 | assert(exist(seqmapFile,'file')>0,'seqmap file %s does not exist',seqmapFile); 16 | fid = fopen(seqmapFile); 17 | allseq = textscan(fid,'%s','HeaderLines',1); 18 | fclose(fid); 19 | allseq=allseq{1}'; 20 | 21 | 22 | end 23 | -------------------------------------------------------------------------------- /extract_det_feat.m: -------------------------------------------------------------------------------- 1 | % extract features for the detection bbox 2 | function feat = extract_det_feat(tracker, bbox) 3 | 4 | num = numel(bbox.fr); 5 | feat_dim = 6; 6 | feat = zeros(num, feat_dim); 7 | feat(:,1) = bbox.x / tracker.image_width; 8 | feat(:,2) = bbox.y / tracker.image_height; 9 | feat(:,3) = bbox.w / tracker.max_width; 10 | feat(:,4) = bbox.h / tracker.max_height; 11 | feat(:,5) = bbox.r / tracker.max_score; 12 | feat(:,6) = 1; -------------------------------------------------------------------------------- /find_detections_for_association.m: -------------------------------------------------------------------------------- 1 | % find nearby detections with appropriate size for association 2 | function [bboxes_det, index_det, center_pred] = find_detections_for_association(tracker, frame_id, bboxes_det, opt) 3 | 4 | center_pred = motion_predict(frame_id, tracker, opt); 5 | num_det = numel(bboxes_det.fr); 6 | center_dets = [bboxes_det.x + bboxes_det.w/2, bboxes_det.y + bboxes_det.h/2]; 7 | 8 | % compute distances and height ratios 9 | distances = zeros(num_det, 1); 10 | ratios = zeros(num_det, 1); 11 | for i = 1:num_det 12 | distances(i) = norm(center_dets(i,:) - center_pred) / tracker.bboxes.w(end); 13 | 14 | ratio = tracker.bboxes.h(end) / bboxes_det.h(i); 15 | ratios(i) = min(ratio, 1/ratio); 16 | end 17 | 18 | index_det = find(distances < opt.distance_thre & ratios > opt.aspect_ratio_thre); 19 | bboxes_det.ratios = ratios; 20 | bboxes_det.distances = distances; -------------------------------------------------------------------------------- /init_tracker/MOT16-02_tracker.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/init_tracker/MOT16-02_tracker.mat -------------------------------------------------------------------------------- /init_tracker/MOT16-04_tracker.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/init_tracker/MOT16-04_tracker.mat -------------------------------------------------------------------------------- /init_tracker/MOT16-05_tracker.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/init_tracker/MOT16-05_tracker.mat -------------------------------------------------------------------------------- /init_tracker/MOT16-09_tracker.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/init_tracker/MOT16-09_tracker.mat -------------------------------------------------------------------------------- /init_tracker/MOT16-10_tracker.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/init_tracker/MOT16-10_tracker.mat -------------------------------------------------------------------------------- /init_tracker/MOT16-11_tracker.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/init_tracker/MOT16-11_tracker.mat -------------------------------------------------------------------------------- /init_tracker/MOT16-13_tracker.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jizhu1023/DMAN_MOT/b522fc5ae8d8152c43be14126c4d6160fdf289f8/init_tracker/MOT16-13_tracker.mat -------------------------------------------------------------------------------- /initialize_tracker.m: -------------------------------------------------------------------------------- 1 | % initialize a MOT tracker 2 | function tracker = initialize_tracker(fr, frame_image, id, bboxes, ind, tracker, opt) 3 | 4 | if tracker.state ~= opt.STATE_START 5 | return; 6 | else 7 | % build the bboxes structure 8 | bbox.fr = bboxes.fr(ind); 9 | bbox.id = id; 10 | bbox.x = bboxes.x(ind); 11 | bbox.y = bboxes.y(ind); 12 | bbox.w = bboxes.w(ind); 13 | bbox.h = bboxes.h(ind); 14 | bbox.r = bboxes.r(ind); 15 | bbox.state = opt.STATE_ACTIVATED; 16 | 17 | bbox.eco_x = bbox.x; 18 | bbox.eco_y = bbox.y; 19 | bbox.eco_w = bbox.w; 20 | bbox.eco_h = bbox.h; 21 | 22 | tracker = ECO_initialize(tracker, fr, id, bbox, frame_image); 23 | tracker.state = opt.STATE_ACTIVATED; 24 | tracker.num_occluded = 0; 25 | tracker.num_tracked = 0; 26 | tracker.bboxes = bbox; 27 | end -------------------------------------------------------------------------------- /read_bboxes.m: -------------------------------------------------------------------------------- 1 | % read bboxes from txt file given by the MOTChallege 2 | function bboxes = read_bboxes(file_name) 3 | 4 | fid = fopen(file_name, 'r'); 5 | % , , , , , , , , , 6 | line = textscan(fid, '%d %d %f %f %f %f %f %f %f %f', 'Delimiter', ','); 7 | fclose(fid); 8 | 9 | % build the bboxes structure for detections 10 | bboxes.fr = line{1}; 11 | bboxes.id = line{2}; 12 | bboxes.x = line{3}; 13 | bboxes.y = line{4}; 14 | bboxes.w = line{5}; 15 | bboxes.h = line{6}; 16 | bboxes.r = line{7}; -------------------------------------------------------------------------------- /save_results.m: -------------------------------------------------------------------------------- 1 | % save the tracking results to txt required by the MOTChallenge 2 | function save_results(seq_name, file_name, bboxes, initialization_threshold, opt) 3 | 4 | num_target = max(bboxes.id); 5 | len_traj = zeros(num_target, 1); 6 | for i = 1:num_target 7 | len_traj(i) = numel(find(bboxes.id == i & (bboxes.state == opt.STATE_TRACKED | bboxes.state == opt.STATE_ACTIVATED))); 8 | end 9 | 10 | fid = fopen(file_name, 'w'); 11 | num_bbox = numel(bboxes.x); 12 | 13 | for i = 1:num_bbox 14 | % , , , , , , , , , 15 | if len_traj(bboxes.id(i)) > initialization_threshold && (bboxes.state(i) == opt.STATE_TRACKED || bboxes.state(i) == opt.STATE_ACTIVATED) 16 | fprintf(fid, '%d,%d,%f,%f,%f,%f,%f,%f,%f,%f\n', ... 17 | bboxes.fr(i), bboxes.id(i), bboxes.x(i), bboxes.y(i), bboxes.w(i), bboxes.h(i), -1, -1, -1, -1); 18 | end 19 | end 20 | 21 | fclose(fid); -------------------------------------------------------------------------------- /sort_trackers.m: -------------------------------------------------------------------------------- 1 | % heuristically sort the reliability of trackers based on the tracking state and the number of tracked frames 2 | function [index1, index2] = sort_trackers(trackers, opt) 3 | 4 | num = numel(trackers); 5 | len = zeros(num, 1); 6 | state = zeros(num, 1); 7 | for i = 1:num 8 | len(i) = trackers{i}.num_tracked; 9 | state(i) = trackers{i}.state; 10 | end 11 | 12 | % give high priority to trackers with > 10 tracked frames 13 | index1 = find(len > 10); 14 | index2 = find(len <= 10); 15 | 16 | % priority order: opt.STATE_TRACKED -> opt.STATE_ACTIVATED -> opt.STATE_LOST -> opt.STATE_START -> opt.STATE_STOP 17 | [~, ind] = sort(state(index1)); 18 | index1 = index1(ind); 19 | [~, ind] = sort(state(index2)); 20 | index2 = index2(ind); 21 | index = [index1; index2]; -------------------------------------------------------------------------------- /sub_bboxes.m: -------------------------------------------------------------------------------- 1 | % return a subset of the structure s 2 | function s = sub_bboxes(s, index_sub) 3 | 4 | if ~isempty(s), 5 | field_list = fieldnames(s); 6 | for i = 1:length(field_list), 7 | f = field_list{i}; 8 | s.(f) = s.(f)(index_sub,:); 9 | end 10 | end 11 | 12 | 13 | 14 | 15 | 16 | --------------------------------------------------------------------------------