OpenCV
3.4.20
Open Source Computer Vision
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Classes | |
class | cv::cuda::CannyEdgeDetector |
Base class for Canny Edge Detector. : More... | |
class | cv::cuda::CLAHE |
Base class for Contrast Limited Adaptive Histogram Equalization. : More... | |
class | cv::cuda::CornernessCriteria |
Base class for Cornerness Criteria computation. : More... | |
class | cv::cuda::CornersDetector |
Base class for Corners Detector. : More... | |
class | cv::cuda::HoughCirclesDetector |
Base class for circles detector algorithm. : More... | |
class | cv::cuda::HoughLinesDetector |
Base class for lines detector algorithm. : More... | |
class | cv::cuda::HoughSegmentDetector |
Base class for line segments detector algorithm. : More... | |
class | cv::cuda::TemplateMatching |
Base class for Template Matching. : More... | |
Namespaces | |
cv | |
cv::cuda | |
Enumerations | |
enum | cv::cuda::AlphaCompTypes { cv::cuda::ALPHA_OVER, cv::cuda::ALPHA_IN, cv::cuda::ALPHA_OUT, cv::cuda::ALPHA_ATOP, cv::cuda::ALPHA_XOR, cv::cuda::ALPHA_PLUS, cv::cuda::ALPHA_OVER_PREMUL, cv::cuda::ALPHA_IN_PREMUL, cv::cuda::ALPHA_OUT_PREMUL, cv::cuda::ALPHA_ATOP_PREMUL, cv::cuda::ALPHA_XOR_PREMUL, cv::cuda::ALPHA_PLUS_PREMUL, cv::cuda::ALPHA_PREMUL } |
enum | cv::cuda::DemosaicTypes { cv::cuda::COLOR_BayerBG2BGR_MHT = 256, cv::cuda::COLOR_BayerGB2BGR_MHT = 257, cv::cuda::COLOR_BayerRG2BGR_MHT = 258, cv::cuda::COLOR_BayerGR2BGR_MHT = 259, cv::cuda::COLOR_BayerBG2RGB_MHT = COLOR_BayerRG2BGR_MHT, cv::cuda::COLOR_BayerGB2RGB_MHT = COLOR_BayerGR2BGR_MHT, cv::cuda::COLOR_BayerRG2RGB_MHT = COLOR_BayerBG2BGR_MHT, cv::cuda::COLOR_BayerGR2RGB_MHT = COLOR_BayerGB2BGR_MHT, cv::cuda::COLOR_BayerBG2GRAY_MHT = 260, cv::cuda::COLOR_BayerGB2GRAY_MHT = 261, cv::cuda::COLOR_BayerRG2GRAY_MHT = 262, cv::cuda::COLOR_BayerGR2GRAY_MHT = 263 } |
Functions | |
void | cv::cuda::alphaComp (InputArray img1, InputArray img2, OutputArray dst, int alpha_op, Stream &stream=Stream::Null()) |
Composites two images using alpha opacity values contained in each image. More... | |
void | cv::cuda::bilateralFilter (InputArray src, OutputArray dst, int kernel_size, float sigma_color, float sigma_spatial, int borderMode=BORDER_DEFAULT, Stream &stream=Stream::Null()) |
Performs bilateral filtering of passed image. More... | |
void | cv::cuda::blendLinear (InputArray img1, InputArray img2, InputArray weights1, InputArray weights2, OutputArray result, Stream &stream=Stream::Null()) |
Performs linear blending of two images. More... | |
void | cv::cuda::calcHist (InputArray src, OutputArray hist, Stream &stream=Stream::Null()) |
Calculates histogram for one channel 8-bit image. More... | |
void | cv::cuda::calcHist (InputArray src, InputArray mask, OutputArray hist, Stream &stream=Stream::Null()) |
Calculates histogram for one channel 8-bit image confined in given mask. More... | |
Ptr< CannyEdgeDetector > | cv::cuda::createCannyEdgeDetector (double low_thresh, double high_thresh, int apperture_size=3, bool L2gradient=false) |
Creates implementation for cuda::CannyEdgeDetector . More... | |
Ptr< cuda::CLAHE > | cv::cuda::createCLAHE (double clipLimit=40.0, Size tileGridSize=Size(8, 8)) |
Creates implementation for cuda::CLAHE . More... | |
Ptr< GeneralizedHoughBallard > | cv::cuda::createGeneralizedHoughBallard () |
Creates implementation for generalized hough transform from [13] . More... | |
Ptr< GeneralizedHoughGuil > | cv::cuda::createGeneralizedHoughGuil () |
Creates implementation for generalized hough transform from [94] . More... | |
Ptr< CornersDetector > | cv::cuda::createGoodFeaturesToTrackDetector (int srcType, int maxCorners=1000, double qualityLevel=0.01, double minDistance=0.0, int blockSize=3, bool useHarrisDetector=false, double harrisK=0.04) |
Creates implementation for cuda::CornersDetector . More... | |
Ptr< CornernessCriteria > | cv::cuda::createHarrisCorner (int srcType, int blockSize, int ksize, double k, int borderType=BORDER_REFLECT101) |
Creates implementation for Harris cornerness criteria. More... | |
Ptr< HoughCirclesDetector > | cv::cuda::createHoughCirclesDetector (float dp, float minDist, int cannyThreshold, int votesThreshold, int minRadius, int maxRadius, int maxCircles=4096) |
Creates implementation for cuda::HoughCirclesDetector . More... | |
Ptr< HoughLinesDetector > | cv::cuda::createHoughLinesDetector (float rho, float theta, int threshold, bool doSort=false, int maxLines=4096) |
Creates implementation for cuda::HoughLinesDetector . More... | |
Ptr< HoughSegmentDetector > | cv::cuda::createHoughSegmentDetector (float rho, float theta, int minLineLength, int maxLineGap, int maxLines=4096) |
Creates implementation for cuda::HoughSegmentDetector . More... | |
Ptr< CornernessCriteria > | cv::cuda::createMinEigenValCorner (int srcType, int blockSize, int ksize, int borderType=BORDER_REFLECT101) |
Creates implementation for the minimum eigen value of a 2x2 derivative covariation matrix (the cornerness criteria). More... | |
Ptr< TemplateMatching > | cv::cuda::createTemplateMatching (int srcType, int method, Size user_block_size=Size()) |
Creates implementation for cuda::TemplateMatching . More... | |
void | cv::cuda::cvtColor (InputArray src, OutputArray dst, int code, int dcn=0, Stream &stream=Stream::Null()) |
Converts an image from one color space to another. More... | |
void | cv::cuda::demosaicing (InputArray src, OutputArray dst, int code, int dcn=-1, Stream &stream=Stream::Null()) |
Converts an image from Bayer pattern to RGB or grayscale. More... | |
void | cv::cuda::equalizeHist (InputArray src, OutputArray dst, Stream &stream=Stream::Null()) |
Equalizes the histogram of a grayscale image. More... | |
void | cv::cuda::evenLevels (OutputArray levels, int nLevels, int lowerLevel, int upperLevel, Stream &stream=Stream::Null()) |
Computes levels with even distribution. More... | |
void | cv::cuda::gammaCorrection (InputArray src, OutputArray dst, bool forward=true, Stream &stream=Stream::Null()) |
Routines for correcting image color gamma. More... | |
void | cv::cuda::histEven (InputArray src, OutputArray hist, int histSize, int lowerLevel, int upperLevel, Stream &stream=Stream::Null()) |
Calculates a histogram with evenly distributed bins. More... | |
void | cv::cuda::histEven (InputArray src, GpuMat hist[4], int histSize[4], int lowerLevel[4], int upperLevel[4], Stream &stream=Stream::Null()) |
void | cv::cuda::histRange (InputArray src, OutputArray hist, InputArray levels, Stream &stream=Stream::Null()) |
Calculates a histogram with bins determined by the levels array. More... | |
void | cv::cuda::histRange (InputArray src, GpuMat hist[4], const GpuMat levels[4], Stream &stream=Stream::Null()) |
void | cv::cuda::meanShiftFiltering (InputArray src, OutputArray dst, int sp, int sr, TermCriteria criteria=TermCriteria(TermCriteria::MAX_ITER+TermCriteria::EPS, 5, 1), Stream &stream=Stream::Null()) |
Performs mean-shift filtering for each point of the source image. More... | |
void | cv::cuda::meanShiftProc (InputArray src, OutputArray dstr, OutputArray dstsp, int sp, int sr, TermCriteria criteria=TermCriteria(TermCriteria::MAX_ITER+TermCriteria::EPS, 5, 1), Stream &stream=Stream::Null()) |
Performs a mean-shift procedure and stores information about processed points (their colors and positions) in two images. More... | |
void | cv::cuda::meanShiftSegmentation (InputArray src, OutputArray dst, int sp, int sr, int minsize, TermCriteria criteria=TermCriteria(TermCriteria::MAX_ITER+TermCriteria::EPS, 5, 1), Stream &stream=Stream::Null()) |
Performs a mean-shift segmentation of the source image and eliminates small segments. More... | |
void | cv::cuda::swapChannels (InputOutputArray image, const int dstOrder[4], Stream &stream=Stream::Null()) |
Exchanges the color channels of an image in-place. More... | |