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Merge pull request #16803 from TolyaTalamanov:at/yuv-to-gray
* Implement NV12toGray * Snapshot * Implement NV12toGray as compound kernel * Update gapi_imgproc_tests_inl.hpp * Remove YUV2Gray from public API
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@ -222,6 +222,21 @@ namespace imgproc {
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}
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};
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G_TYPED_KERNEL(GNV12toGray, <GMat(GMat,GMat)>, "org.opencv.colorconvert.imgproc.nv12togray") {
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static GMatDesc outMeta(GMatDesc inY, GMatDesc inUV) {
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GAPI_Assert(inY.depth == CV_8U);
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GAPI_Assert(inUV.depth == CV_8U);
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GAPI_Assert(inY.chan == 1);
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GAPI_Assert(inY.planar == false);
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GAPI_Assert(inUV.chan == 2);
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GAPI_Assert(inUV.planar == false);
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GAPI_Assert(inY.size.width == 2 * inUV.size.width);
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GAPI_Assert(inY.size.height == 2 * inUV.size.height);
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return inY.withType(CV_8U, 1);
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}
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};
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G_TYPED_KERNEL(GNV12toBGRp, <GMatP(GMat,GMat)>, "org.opencv.colorconvert.imgproc.nv12tobgrp") {
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static GMatDesc outMeta(GMatDesc inY, GMatDesc inUV) {
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GAPI_Assert(inY.depth == CV_8U);
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@ -819,6 +834,21 @@ Output image must be 8-bit unsigned 3-channel image @ref CV_8UC3.
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*/
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GAPI_EXPORTS GMat NV12toRGB(const GMat& src_y, const GMat& src_uv);
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/** @brief Converts an image from NV12 (YUV420p) color space to gray-scaled.
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The function converts an input image from NV12 color space to gray-scaled.
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The conventional ranges for Y, U, and V channel values are 0 to 255.
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Output image must be 8-bit unsigned 1-channel image @ref CV_8UC1.
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@note Function textual ID is "org.opencv.imgproc.colorconvert.nv12togray"
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@param src_y input image: 8-bit unsigned 1-channel image @ref CV_8UC1.
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@param src_uv input image: 8-bit unsigned 2-channel image @ref CV_8UC2.
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@sa YUV2RGB, NV12toBGR
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*/
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GAPI_EXPORTS GMat NV12toGray(const GMat& src_y, const GMat& src_uv);
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/** @brief Converts an image from NV12 (YUV420p) color space to BGR.
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The function converts an input image from NV12 color space to RGB.
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The conventional ranges for Y, U, and V channel values are 0 to 255.
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@ -157,18 +157,26 @@ GMat RGB2Lab(const GMat& src)
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return imgproc::GRGB2Lab::on(src);
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}
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GMat BayerGR2RGB(const GMat& src_gr) {
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GMat BayerGR2RGB(const GMat& src_gr)
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{
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return imgproc::GBayerGR2RGB::on(src_gr);
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}
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GMat RGB2HSV(const GMat& src) {
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GMat RGB2HSV(const GMat& src)
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{
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return imgproc::GRGB2HSV::on(src);
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}
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GMat RGB2YUV422(const GMat& src) {
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GMat RGB2YUV422(const GMat& src)
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{
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return imgproc::GRGB2YUV422::on(src);
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}
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GMat NV12toGray(const GMat &y, const GMat &uv)
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{
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return imgproc::GNV12toGray::on(y, uv);
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}
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GMatP NV12toRGBp(const GMat &y, const GMat &uv)
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{
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return imgproc::GNV12toRGBp::on(y, uv);
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@ -10,9 +10,11 @@
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#include <opencv2/gapi/imgproc.hpp>
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#include <opencv2/gapi/cpu/imgproc.hpp>
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#include <opencv2/gapi/cpu/gcpukernel.hpp>
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#include <opencv2/gapi/gcompoundkernel.hpp>
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#include "backends/fluid/gfluidimgproc_func.hpp"
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namespace {
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cv::Mat add_border(const cv::Mat& in, const int ksize, const int borderType, const cv::Scalar& bordVal){
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if( borderType == cv::BORDER_CONSTANT )
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@ -335,6 +337,57 @@ GAPI_OCV_KERNEL(GCPUNV12toRGBp, cv::gapi::imgproc::GNV12toRGBp)
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}
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};
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G_TYPED_KERNEL(GYUV2Gray, <cv::GMat(cv::GMat)>, "yuvtogray") {
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static cv::GMatDesc outMeta(cv::GMatDesc in) {
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GAPI_Assert(in.depth == CV_8U);
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GAPI_Assert(in.planar == false);
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GAPI_Assert(in.size.width % 2 == 0);
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GAPI_Assert(in.size.height % 3 == 0);
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/* YUV format for this kernel:
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* Y Y Y Y Y Y Y Y
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* Y Y Y Y Y Y Y Y
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* Y Y Y Y Y Y Y Y
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* Y Y Y Y Y Y Y Y
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* U V U V U V U V
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* U V U V U V U V
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*/
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return {CV_8U, 1, cv::gapi::own::Size{in.size.width, in.size.height - (in.size.height / 3)}, false};
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}
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};
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GAPI_OCV_KERNEL(GCPUYUV2Gray, GYUV2Gray)
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{
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static void run(const cv::Mat& in, cv::Mat& out)
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{
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cv::cvtColor(in, out, cv::COLOR_YUV2GRAY_NV12);
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}
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};
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G_TYPED_KERNEL(GConcatYUVPlanes, <cv::GMat(cv::GMat, cv::GMat)>, "concatyuvplanes") {
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static cv::GMatDesc outMeta(cv::GMatDesc y, cv::GMatDesc uv) {
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return {CV_8U, 1, cv::gapi::own::Size{y.size.width, y.size.height + uv.size.height}, false};
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}
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};
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GAPI_OCV_KERNEL(GCPUConcatYUVPlanes, GConcatYUVPlanes)
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{
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static void run(const cv::Mat& in_y, const cv::Mat& in_uv, cv::Mat& out)
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{
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cv::Mat uv_planar(in_uv.rows, in_uv.cols * 2, CV_8UC1, in_uv.data);
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cv::vconcat(in_y, uv_planar, out);
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}
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};
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GAPI_COMPOUND_KERNEL(GCPUNV12toGray, cv::gapi::imgproc::GNV12toGray)
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{
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static cv::GMat expand(cv::GMat y, cv::GMat uv)
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{
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return GYUV2Gray::on(GConcatYUVPlanes::on(y, uv));
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}
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};
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GAPI_OCV_KERNEL(GCPUNV12toBGRp, cv::gapi::imgproc::GNV12toBGRp)
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{
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static void run(const cv::Mat& inY, const cv::Mat& inUV, cv::Mat& out)
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@ -345,7 +398,6 @@ GAPI_OCV_KERNEL(GCPUNV12toBGRp, cv::gapi::imgproc::GNV12toBGRp)
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}
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};
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cv::gapi::GKernelPackage cv::gapi::imgproc::cpu::kernels()
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{
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static auto pkg = cv::gapi::kernels
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@ -376,8 +428,11 @@ cv::gapi::GKernelPackage cv::gapi::imgproc::cpu::kernels()
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, GCPUBayerGR2RGB
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, GCPURGB2HSV
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, GCPURGB2YUV422
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, GCPUYUV2Gray
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, GCPUNV12toRGBp
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, GCPUNV12toBGRp
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, GCPUNV12toGray
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, GCPUConcatYUVPlanes
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>();
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return pkg;
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}
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@ -56,10 +56,12 @@ GAPI_TEST_FIXTURE(RGB2GrayTest, initMatrixRandN, FIXTURE_API(CompareMats), 1, cm
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GAPI_TEST_FIXTURE(BGR2GrayTest, initMatrixRandN, FIXTURE_API(CompareMats), 1, cmpF)
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GAPI_TEST_FIXTURE(RGB2YUVTest, initMatrixRandN, FIXTURE_API(CompareMats), 1, cmpF)
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GAPI_TEST_FIXTURE(YUV2RGBTest, initMatrixRandN, FIXTURE_API(CompareMats), 1, cmpF)
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GAPI_TEST_FIXTURE(YUV2GrayTest, initMatrixRandN, FIXTURE_API(CompareMats), 1, cmpF)
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GAPI_TEST_FIXTURE(NV12toRGBTest, initMatrixRandN, FIXTURE_API(CompareMats), 1, cmpF)
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GAPI_TEST_FIXTURE(NV12toBGRpTest, initMatrixRandN, FIXTURE_API(CompareMats), 1, cmpF)
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GAPI_TEST_FIXTURE(NV12toRGBpTest, initMatrixRandN, FIXTURE_API(CompareMats), 1, cmpF)
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GAPI_TEST_FIXTURE(NV12toBGRTest, initMatrixRandN, FIXTURE_API(CompareMats), 1, cmpF)
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GAPI_TEST_FIXTURE(NV12toGrayTest, initMatrixRandN, FIXTURE_API(CompareMats), 1, cmpF)
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GAPI_TEST_FIXTURE(RGB2LabTest, initMatrixRandN, FIXTURE_API(CompareMats), 1, cmpF)
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GAPI_TEST_FIXTURE(BGR2LUVTest, initMatrixRandN, FIXTURE_API(CompareMats), 1, cmpF)
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GAPI_TEST_FIXTURE(LUV2BGRTest, initMatrixRandN, FIXTURE_API(CompareMats), 1, cmpF)
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@ -504,6 +504,33 @@ TEST_P(NV12toBGRTest, AccuracyTest)
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}
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}
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TEST_P(NV12toGrayTest, AccuracyTest)
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{
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// G-API code //////////////////////////////////////////////////////////////
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cv::GMat in_y;
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cv::GMat in_uv;
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auto out = cv::gapi::NV12toGray(in_y, in_uv);
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// Additional mat for uv
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cv::Mat in_mat_uv(cv::Size(sz.width / 2, sz.height / 2), CV_8UC2);
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cv::randn(in_mat_uv, cv::Scalar::all(127), cv::Scalar::all(40.f));
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cv::GComputation c(cv::GIn(in_y, in_uv), cv::GOut(out));
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c.apply(cv::gin(in_mat1, in_mat_uv), cv::gout(out_mat_gapi), getCompileArgs());
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cv::Mat out_mat_ocv_planar;
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cv::Mat uv_planar(in_mat1.rows / 2, in_mat1.cols, CV_8UC1, in_mat_uv.data);
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// OpenCV code /////////////////////////////////////////////////////////////
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{
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cv::vconcat(in_mat1, uv_planar, out_mat_ocv_planar);
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cv::cvtColor(out_mat_ocv_planar, out_mat_ocv, cv::COLOR_YUV2GRAY_NV12);
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}
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// Comparison //////////////////////////////////////////////////////////////
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{
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EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
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EXPECT_EQ(out_mat_gapi.size(), sz);
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}
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}
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static void toPlanar(const cv::Mat& in, cv::Mat& out)
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{
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@ -244,11 +244,19 @@ INSTANTIATE_TEST_CASE_P(NV12toBGRTestCPU, NV12toBGRTest,
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Values(IMGPROC_CPU),
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Values(AbsExact().to_compare_obj())));
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INSTANTIATE_TEST_CASE_P(NV12toGrayTestCPU, NV12toGrayTest,
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Combine(Values(CV_8UC1),
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Values(cv::Size(1280, 720),
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cv::Size(640, 480)),
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Values(CV_8UC1),
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Values(IMGPROC_CPU),
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Values(AbsExact().to_compare_obj())));
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INSTANTIATE_TEST_CASE_P(NV12toRGBpTestCPU, NV12toRGBpTest,
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Combine(Values(CV_8UC1),
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Values(cv::Size(1280, 720),
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cv::Size(640, 480)),
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Values(CV_8UC3),
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Values(CV_8UC1),
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Values(IMGPROC_CPU),
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Values(AbsExact().to_compare_obj())));
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