The toolbox is divided into 7 parts, arranged by directory: channels Robust image features, including HOG, for fast object detection. classify Fast clustering, random ferns, RBF functions, PCA, etc. detector Aggregate Channel Features (ACF) object detection code. filters Routines for filtering images. images Routines for manipulating and displaying images. matlab General Matlab functions that should have been a part of Matlab. videos Routines for annotating and displaying videos.

toolbox
toolbox\.DS_Store
__MACOSX
__MACOSX\toolbox
__MACOSX\toolbox\._.DS_Store
toolbox\channels
toolbox\channels\.DS_Store
__MACOSX\toolbox\channels
__MACOSX\toolbox\channels\._.DS_Store
toolbox\channels\chnsCompute.m
toolbox\channels\chnsPyramid.m
__MACOSX\toolbox\channels\._chnsPyramid.m
toolbox\channels\chnsScaling.m
toolbox\channels\Contents.m
toolbox\channels\convBox.m
toolbox\channels\convMax.m
toolbox\channels\convTri.m
toolbox\channels\fhog.m
toolbox\channels\gradient2.m
toolbox\channels\gradientHist.m
toolbox\channels\gradientMag.m
toolbox\channels\hog.m
toolbox\channels\hogDraw.m
toolbox\channels\imPad.m
toolbox\channels\imResample.m
toolbox\channels\private
toolbox\channels\private\chnsTestCpp.cpp
toolbox\channels\private\convConst.cpp
toolbox\channels\private\convConst.mexa64
toolbox\channels\private\convConst.mexmaci64
toolbox\channels\private\convConst.mexw64
toolbox\channels\private\gradientMex.cpp
toolbox\channels\private\gradientMex.mexa64
toolbox\channels\private\gradientMex.mexmaci64
toolbox\channels\private\gradientMex.mexw64
toolbox\channels\private\gradientMexNew.mexmaci64
toolbox\channels\private\imPadMex.cpp
toolbox\channels\private\imPadMex.mexa64
toolbox\channels\private\imPadMex.mexmaci64
toolbox\channels\private\imPadMex.mexw64
toolbox\channels\private\imResampleMex.cpp
toolbox\channels\private\imResampleMex.mexa64
toolbox\channels\private\imResampleMex.mexmaci64
toolbox\channels\private\imResampleMex.mexw64
toolbox\channels\private\rgbConvertMex.cpp
toolbox\channels\private\rgbConvertMex.mexa64
toolbox\channels\private\rgbConvertMex.mexmaci64
toolbox\channels\private\rgbConvertMex.mexw64
toolbox\channels\private\sse.hpp
toolbox\channels\private\wrappers.hpp
toolbox\channels\rgbConvert.m
toolbox\classify
toolbox\classify\.DS_Store
__MACOSX\toolbox\classify
__MACOSX\toolbox\classify\._.DS_Store
toolbox\classify\adaBoostApply.m
toolbox\classify\adaBoostTrain.m
toolbox\classify\binaryTreeApply.m
toolbox\classify\binaryTreeTrain.m
toolbox\classify\confMatrix.m
toolbox\classify\confMatrixShow.m
toolbox\classify\Contents.m
toolbox\classify\demoCluster.m
toolbox\classify\demoGenData.m
toolbox\classify\distMatrixShow.m
toolbox\classify\fernsClfApply.m
toolbox\classify\fernsClfTrain.m
toolbox\classify\fernsInds.m
toolbox\classify\fernsRegApply.m
toolbox\classify\fernsRegTrain.m
toolbox\classify\forestApply.m
toolbox\classify\forestTrain.m
toolbox\classify\kmeans2.m
toolbox\classify\meanShift.m
toolbox\classify\meanShiftIm.m
toolbox\classify\meanShiftImExplore.m
toolbox\classify\pca.m
toolbox\classify\pcaApply.m
toolbox\classify\pcaData.mat
toolbox\classify\pcaRandVec.m
toolbox\classify\pcaVisualize.m
toolbox\classify\pdist2.m
toolbox\classify\private
toolbox\classify\private\binaryTreeTrain1.cpp
toolbox\classify\private\binaryTreeTrain1.mexa64
toolbox\classify\private\binaryTreeTrain1.mexmaci64
toolbox\classify\private\binaryTreeTrain1.mexw64
toolbox\classify\private\fernsInds1.c
toolbox\classify\private\fernsInds1.mexa64
toolbox\classify\private\fernsInds1.mexmaci64
toolbox\classify\private\fernsInds1.mexw64
toolbox\classify\private\forestFindThr.cpp
toolbox\classify\private\forestFindThr.mexa64
toolbox\classify\private\forestFindThr.mexmaci64
toolbox\classify\private\forestFindThr.mexw64
toolbox\classify\private\forestInds.cpp
toolbox\classify\private\forestInds.mexa64
toolbox\classify\private\forestInds.mexmaci64
toolbox\classify\private\forestInds.mexw64
toolbox\classify\private\IDX2order.m

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