OpenCV  2.4.13.6
Open Source Computer Vision
cv::gpu::HOGDescriptor Member List

This is the complete list of members for cv::gpu::HOGDescriptor, including all inherited members.

block_histscv::gpu::HOGDescriptorprotected
block_hists_bufcv::gpu::HOGDescriptorprotected
block_sizecv::gpu::HOGDescriptor
block_stridecv::gpu::HOGDescriptor
cell_sizecv::gpu::HOGDescriptor
checkDetectorSize() constcv::gpu::HOGDescriptorprotected
computeBlockHistograms(const GpuMat &img)cv::gpu::HOGDescriptorprotected
computeConfidence(const GpuMat &img, std::vector< Point > &hits, double hit_threshold, Size win_stride, Size padding, std::vector< Point > &locations, std::vector< double > &confidences)cv::gpu::HOGDescriptor
computeConfidenceMultiScale(const GpuMat &img, std::vector< Rect > &found_locations, double hit_threshold, Size win_stride, Size padding, std::vector< HOGConfidence > &conf_out, int group_threshold)cv::gpu::HOGDescriptor
computeGradient(const GpuMat &img, GpuMat &grad, GpuMat &qangle)cv::gpu::HOGDescriptorprotected
DEFAULT_NLEVELS enum valuecv::gpu::HOGDescriptor
DEFAULT_WIN_SIGMA enum valuecv::gpu::HOGDescriptor
DESCR_FORMAT_COL_BY_COL enum valuecv::gpu::HOGDescriptor
DESCR_FORMAT_ROW_BY_ROW enum valuecv::gpu::HOGDescriptor
detect(const GpuMat &img, std::vector< Point > &found_locations, double hit_threshold=0, Size win_stride=Size(), Size padding=Size())cv::gpu::HOGDescriptor
detectMultiScale(const GpuMat &img, std::vector< Rect > &found_locations, double hit_threshold=0, Size win_stride=Size(), Size padding=Size(), double scale0=1.05, int group_threshold=2)cv::gpu::HOGDescriptor
detectorcv::gpu::HOGDescriptorprotected
free_coefcv::gpu::HOGDescriptorprotected
gamma_correctioncv::gpu::HOGDescriptor
getBlockHistogramSize() constcv::gpu::HOGDescriptor
getBuffer(const Size &sz, int type, GpuMat &buf)cv::gpu::HOGDescriptorprotectedstatic
getBuffer(int rows, int cols, int type, GpuMat &buf)cv::gpu::HOGDescriptorprotectedstatic
getDefaultPeopleDetector()cv::gpu::HOGDescriptorstatic
getDescriptors(const GpuMat &img, Size win_stride, GpuMat &descriptors, int descr_format=DESCR_FORMAT_COL_BY_COL)cv::gpu::HOGDescriptor
getDescriptorSize() constcv::gpu::HOGDescriptor
getPeopleDetector48x96()cv::gpu::HOGDescriptorstatic
getPeopleDetector64x128()cv::gpu::HOGDescriptorstatic
getWinSigma() constcv::gpu::HOGDescriptorprotected
gradcv::gpu::HOGDescriptorprotected
grad_bufcv::gpu::HOGDescriptorprotected
HOGDescriptor(Size win_size=Size(64, 128), Size block_size=Size(16, 16), Size block_stride=Size(8, 8), Size cell_size=Size(8, 8), int nbins=9, double win_sigma=DEFAULT_WIN_SIGMA, double threshold_L2hys=0.2, bool gamma_correction=true, int nlevels=DEFAULT_NLEVELS)cv::gpu::HOGDescriptor
image_scalescv::gpu::HOGDescriptorprotected
labelscv::gpu::HOGDescriptorprotected
labels_bufcv::gpu::HOGDescriptorprotected
labels_hostcv::gpu::HOGDescriptorprotected
nbinscv::gpu::HOGDescriptor
nlevelscv::gpu::HOGDescriptor
numPartsWithin(int size, int part_size, int stride)cv::gpu::HOGDescriptorprotectedstatic
numPartsWithin(Size size, Size part_size, Size stride)cv::gpu::HOGDescriptorprotectedstatic
qanglecv::gpu::HOGDescriptorprotected
qangle_bufcv::gpu::HOGDescriptorprotected
setSVMDetector(const std::vector< float > &detector)cv::gpu::HOGDescriptor
threshold_L2hyscv::gpu::HOGDescriptor
win_sigmacv::gpu::HOGDescriptor
win_sizecv::gpu::HOGDescriptor