< Master index Index for samsung-code >

Index for samsung-code

Matlab files in this directory:

 benchmark_voc2007BENCHMARK_VOC2007 do benchmark test on PASCAL VOC2007 test set using the trained detection models
 detInitDETINIT loads and initializes the detection model
 detInitPathDETINITPATH initializes the dependency paths for single image detection
 detShowBBoxesDETSHOWBBOXES visualizes the detection results.
 detSingleDETSINGLE detects objects on a single image using an existing detection model
 detSingleGPDETSINGLEGP performs GP-based Fine-grained Target Search (FTS) on a single image with initial detection outputs
 detSingleInitialFeaturesDETSINGLEINITIALFEATURES extract features from the initial bounding boxes on a single image.
 detVOC2007DETVOC2007 is the internal function for benchmarking the existing detection models on PASCAL VOC2007 test set
 simple_demo4SIMPLE_DEMO4 detects and shows objects on a single image using a specific classifier (linear/structures SVM).
 trainCallStageTRAINCALLSTAGE calls a given training stage with user-specified parameters
 trainInitTRAININIT initilize all the parameters for training
 trainInit_svmLinearTRAININIT initialize all the parameters for training with linear SVM classifier
 trainInit_svmStructTRAININIT initialize all the parameters for training with structured SVM classifier
 train_demoTRAIN_DEMO trains the detection model from scratch (except for the CNN model training)

Other Matlab-specific files in this directory:

Subsequent directories:


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