OpenCV  4.5.0
Open Source Computer Vision
Namespaces | Typedefs | Functions
cv::gapi::imgproc Namespace Reference

Namespaces

 cpu
 
 fluid
 
 gpu
 
 ocl
 

Typedefs

using GMat2 = std::tuple< GMat, GMat >
 
using GMat3 = std::tuple< GMat, GMat, GMat >
 

Functions

 G_TYPED_KERNEL (GFilter2D,< GMat(GMat, int, Mat, Point, Scalar, int, Scalar)>,"org.opencv.imgproc.filters.filter2D")
 
 G_TYPED_KERNEL (GSepFilter,< GMat(GMat, int, Mat, Mat, Point, Scalar, int, Scalar)>, "org.opencv.imgproc.filters.sepfilter")
 
 G_TYPED_KERNEL (GBoxFilter,< GMat(GMat, int, Size, Point, bool, int, Scalar)>, "org.opencv.imgproc.filters.boxfilter")
 
 G_TYPED_KERNEL (GBlur,< GMat(GMat, Size, Point, int, Scalar)>, "org.opencv.imgproc.filters.blur")
 
 G_TYPED_KERNEL (GGaussBlur,< GMat(GMat, Size, double, double, int, Scalar)>, "org.opencv.imgproc.filters.gaussianBlur")
 
 G_TYPED_KERNEL (GMedianBlur,< GMat(GMat, int)>, "org.opencv.imgproc.filters.medianBlur")
 
 G_TYPED_KERNEL (GErode,< GMat(GMat, Mat, Point, int, int, Scalar)>, "org.opencv.imgproc.filters.erode")
 
 G_TYPED_KERNEL (GDilate,< GMat(GMat, Mat, Point, int, int, Scalar)>, "org.opencv.imgproc.filters.dilate")
 
 G_TYPED_KERNEL (GSobel,< GMat(GMat, int, int, int, int, double, double, int, Scalar)>, "org.opencv.imgproc.filters.sobel")
 
 G_TYPED_KERNEL (GLaplacian,< GMat(GMat, int, int, double, double, int)>, "org.opencv.imgproc.filters.laplacian")
 
 G_TYPED_KERNEL (GBilateralFilter,< GMat(GMat, int, double, double, int)>, "org.opencv.imgproc.filters.bilateralfilter")
 
 G_TYPED_KERNEL (GEqHist,< GMat(GMat)>, "org.opencv.imgproc.equalizeHist")
 
 G_TYPED_KERNEL (GCanny,< GMat(GMat, double, double, int, bool)>, "org.opencv.imgproc.canny")
 
 G_TYPED_KERNEL (GGoodFeatures,< cv::GArray< cv::Point2f >(GMat, int, double, double, Mat, int, bool, double)>, "org.opencv.imgproc.goodFeaturesToTrack")
 
 G_TYPED_KERNEL (GRGB2YUV,< GMat(GMat)>, "org.opencv.imgproc.colorconvert.rgb2yuv")
 
 G_TYPED_KERNEL (GYUV2RGB,< GMat(GMat)>, "org.opencv.imgproc.colorconvert.yuv2rgb")
 
 G_TYPED_KERNEL (GNV12toRGB,< GMat(GMat, GMat)>, "org.opencv.imgproc.colorconvert.nv12torgb")
 
 G_TYPED_KERNEL (GNV12toBGR,< GMat(GMat, GMat)>, "org.opencv.imgproc.colorconvert.nv12tobgr")
 
 G_TYPED_KERNEL (GRGB2Lab,< GMat(GMat)>, "org.opencv.imgproc.colorconvert.rgb2lab")
 
 G_TYPED_KERNEL (GBGR2LUV,< GMat(GMat)>, "org.opencv.imgproc.colorconvert.bgr2luv")
 
 G_TYPED_KERNEL (GLUV2BGR,< GMat(GMat)>, "org.opencv.imgproc.colorconvert.luv2bgr")
 
 G_TYPED_KERNEL (GYUV2BGR,< GMat(GMat)>, "org.opencv.imgproc.colorconvert.yuv2bgr")
 
 G_TYPED_KERNEL (GBGR2YUV,< GMat(GMat)>, "org.opencv.imgproc.colorconvert.bgr2yuv")
 
 G_TYPED_KERNEL (GRGB2Gray,< GMat(GMat)>, "org.opencv.imgproc.colorconvert.rgb2gray")
 
 G_TYPED_KERNEL (GRGB2GrayCustom,< GMat(GMat, float, float, float)>, "org.opencv.imgproc.colorconvert.rgb2graycustom")
 
 G_TYPED_KERNEL (GBGR2Gray,< GMat(GMat)>, "org.opencv.imgproc.colorconvert.bgr2gray")
 
 G_TYPED_KERNEL (GBayerGR2RGB,< cv::GMat(cv::GMat)>, "org.opencv.imgproc.colorconvert.bayergr2rgb")
 
 G_TYPED_KERNEL (GRGB2HSV,< cv::GMat(cv::GMat)>, "org.opencv.imgproc.colorconvert.rgb2hsv")
 
 G_TYPED_KERNEL (GRGB2YUV422,< cv::GMat(cv::GMat)>, "org.opencv.imgproc.colorconvert.rgb2yuv422")
 
 G_TYPED_KERNEL (GNV12toRGBp,< GMatP(GMat, GMat)>, "org.opencv.colorconvert.imgproc.nv12torgbp")
 
 G_TYPED_KERNEL (GNV12toGray,< GMat(GMat, GMat)>, "org.opencv.colorconvert.imgproc.nv12togray")
 
 G_TYPED_KERNEL (GNV12toBGRp,< GMatP(GMat, GMat)>, "org.opencv.colorconvert.imgproc.nv12tobgrp")
 
 G_TYPED_KERNEL_M (GSobelXY,< GMat2(GMat, int, int, int, double, double, int, Scalar)>, "org.opencv.imgproc.filters.sobelxy")
 

Typedef Documentation

◆ GMat2

using cv::gapi::imgproc::GMat2 = typedef std::tuple<GMat,GMat>

◆ GMat3

using cv::gapi::imgproc::GMat3 = typedef std::tuple<GMat,GMat,GMat>

Function Documentation

◆ G_TYPED_KERNEL() [1/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GFilter2D  ,
< GMat(GMat, int, Mat, Point, Scalar, int, Scalar)>  ,
"org.opencv.imgproc.filters.filter2D"   
)

◆ G_TYPED_KERNEL() [2/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GSepFilter  ,
< GMat(GMat, int, Mat, Mat, Point, Scalar, int, Scalar)>  ,
"org.opencv.imgproc.filters.sepfilter"   
)

◆ G_TYPED_KERNEL() [3/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GBoxFilter  ,
< GMat(GMat, int, Size, Point, bool, int, Scalar)>  ,
"org.opencv.imgproc.filters.boxfilter"   
)

◆ G_TYPED_KERNEL() [4/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GBlur  ,
< GMat(GMat, Size, Point, int, Scalar)>  ,
"org.opencv.imgproc.filters.blur"   
)

◆ G_TYPED_KERNEL() [5/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GGaussBlur  ,
< GMat(GMat, Size, double, double, int, Scalar)>  ,
"org.opencv.imgproc.filters.gaussianBlur"   
)

◆ G_TYPED_KERNEL() [6/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GMedianBlur  ,
< GMat(GMat, int)>  ,
"org.opencv.imgproc.filters.medianBlur"   
)

◆ G_TYPED_KERNEL() [7/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GErode  ,
< GMat(GMat, Mat, Point, int, int, Scalar)>  ,
"org.opencv.imgproc.filters.erode"   
)

◆ G_TYPED_KERNEL() [8/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GDilate  ,
< GMat(GMat, Mat, Point, int, int, Scalar)>  ,
"org.opencv.imgproc.filters.dilate"   
)

◆ G_TYPED_KERNEL() [9/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GSobel  ,
< GMat(GMat, int, int, int, int, double, double, int, Scalar)>  ,
"org.opencv.imgproc.filters.sobel"   
)

◆ G_TYPED_KERNEL() [10/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GLaplacian  ,
< GMat(GMat, int, int, double, double, int)>  ,
"org.opencv.imgproc.filters.laplacian"   
)

◆ G_TYPED_KERNEL() [11/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GBilateralFilter  ,
< GMat(GMat, int, double, double, int)>  ,
"org.opencv.imgproc.filters.bilateralfilter"   
)

◆ G_TYPED_KERNEL() [12/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GEqHist  ,
< GMat(GMat)>  ,
"org.opencv.imgproc.equalizeHist"   
)

◆ G_TYPED_KERNEL() [13/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GCanny  ,
< GMat(GMat, double, double, int, bool)>  ,
"org.opencv.imgproc.canny"   
)

◆ G_TYPED_KERNEL() [14/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GGoodFeatures  ,
< cv::GArray< cv::Point2f >(GMat, int, double, double, Mat, int, bool, double)>  ,
"org.opencv.imgproc.goodFeaturesToTrack"   
)

◆ G_TYPED_KERNEL() [15/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GRGB2YUV  ,
< GMat(GMat)>  ,
"org.opencv.imgproc.colorconvert.rgb2yuv"   
)

◆ G_TYPED_KERNEL() [16/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GYUV2RGB  ,
< GMat(GMat)>  ,
"org.opencv.imgproc.colorconvert.yuv2rgb"   
)

◆ G_TYPED_KERNEL() [17/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GNV12toRGB  ,
< GMat(GMat, GMat)>  ,
"org.opencv.imgproc.colorconvert.nv12torgb"   
)

◆ G_TYPED_KERNEL() [18/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GNV12toBGR  ,
< GMat(GMat, GMat)>  ,
"org.opencv.imgproc.colorconvert.nv12tobgr"   
)

◆ G_TYPED_KERNEL() [19/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GRGB2Lab  ,
< GMat(GMat)>  ,
"org.opencv.imgproc.colorconvert.rgb2lab"   
)

◆ G_TYPED_KERNEL() [20/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GBGR2LUV  ,
< GMat(GMat)>  ,
"org.opencv.imgproc.colorconvert.bgr2luv"   
)

◆ G_TYPED_KERNEL() [21/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GLUV2BGR  ,
< GMat(GMat)>  ,
"org.opencv.imgproc.colorconvert.luv2bgr"   
)

◆ G_TYPED_KERNEL() [22/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GYUV2BGR  ,
< GMat(GMat)>  ,
"org.opencv.imgproc.colorconvert.yuv2bgr"   
)

◆ G_TYPED_KERNEL() [23/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GBGR2YUV  ,
< GMat(GMat)>  ,
"org.opencv.imgproc.colorconvert.bgr2yuv"   
)

◆ G_TYPED_KERNEL() [24/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GRGB2Gray  ,
< GMat(GMat)>  ,
"org.opencv.imgproc.colorconvert.rgb2gray"   
)

◆ G_TYPED_KERNEL() [25/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GRGB2GrayCustom  ,
< GMat(GMat, float, float, float)>  ,
"org.opencv.imgproc.colorconvert.rgb2graycustom"   
)

◆ G_TYPED_KERNEL() [26/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GBGR2Gray  ,
< GMat(GMat)>  ,
"org.opencv.imgproc.colorconvert.bgr2gray"   
)

◆ G_TYPED_KERNEL() [27/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GBayerGR2RGB  ,
< cv::GMat(cv::GMat)>  ,
"org.opencv.imgproc.colorconvert.bayergr2rgb"   
)

◆ G_TYPED_KERNEL() [28/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GRGB2HSV  ,
< cv::GMat(cv::GMat)>  ,
"org.opencv.imgproc.colorconvert.rgb2hsv"   
)

◆ G_TYPED_KERNEL() [29/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GRGB2YUV422  ,
< cv::GMat(cv::GMat)>  ,
"org.opencv.imgproc.colorconvert.rgb2yuv422"   
)

◆ G_TYPED_KERNEL() [30/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GNV12toRGBp  ,
< GMatP(GMat, GMat)>  ,
"org.opencv.colorconvert.imgproc.nv12torgbp"   
)

◆ G_TYPED_KERNEL() [31/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GNV12toGray  ,
< GMat(GMat, GMat)>  ,
"org.opencv.colorconvert.imgproc.nv12togray"   
)

◆ G_TYPED_KERNEL() [32/32]

cv::gapi::imgproc::G_TYPED_KERNEL ( GNV12toBGRp  ,
< GMatP(GMat, GMat)>  ,
"org.opencv.colorconvert.imgproc.nv12tobgrp"   
)

◆ G_TYPED_KERNEL_M()

cv::gapi::imgproc::G_TYPED_KERNEL_M ( GSobelXY  ,
< GMat2(GMat, int, int, int, double, double, int, Scalar)>  ,
"org.opencv.imgproc.filters.sobelxy"   
)