Open Source Computer Vision Library https://opencv.org/
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2018 Intel Corporation
#include "../../test/common/gapi_tests_common.hpp"
#include "opencv2/gapi/imgproc.hpp"
namespace opencv_test
{
using namespace perf;
//------------------------------------------------------------------------------
class SepFilterPerfTest : public TestPerfParams<tuple<MatType, int, cv::Size, int>> {};
PERF_TEST_P_(SepFilterPerfTest, TestPerformance)
{
MatType type = 0;
int kernSize = 0, dtype = 0;
cv::Size sz;
std::tie(type, kernSize, sz, dtype) = GetParam();
cv::Mat kernelX(kernSize, 1, CV_32F);
cv::Mat kernelY(kernSize, 1, CV_32F);
randu(kernelX, -1, 1);
randu(kernelY, -1, 1);
initMatsRandN(type, sz, dtype, false);
cv::Point anchor = cv::Point(-1, -1);
// OpenCV code /////////////////////////////////////////////////////////////
{
cv::sepFilter2D(in_mat1, out_mat_ocv, dtype, kernelX, kernelY );
}
// G-API code //////////////////////////////////////////////////////////////
cv::GMat in;
auto out = cv::gapi::sepFilter(in, dtype, kernelX, kernelY, anchor, cv::Scalar() );
cv::GComputation c(in, out);
// Warm-up graph engine:
c.apply(in_mat1, out_mat_gapi);
TEST_CYCLE()
{
c.apply(in_mat1, out_mat_gapi);
}
// Comparison //////////////////////////////////////////////////////////////
{
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
}
SANITY_CHECK_NOTHING();
}
//------------------------------------------------------------------------------
class Filter2DPerfTest : public TestPerfParams<tuple<MatType,int,cv::Size,int,int>> {};
PERF_TEST_P_(Filter2DPerfTest, TestPerformance)
{
MatType type = 0;
int kernSize = 0, borderType = 0, dtype = 0;
cv::Size sz;
std::tie(type, kernSize, sz, borderType, dtype) = GetParam();
initMatsRandN(type, sz, dtype, false);
cv::Point anchor = {-1, -1};
double delta = 0;
cv::Mat kernel = cv::Mat(kernSize, kernSize, CV_32FC1 );
cv::Scalar kernMean = cv::Scalar::all(1.0);
cv::Scalar kernStddev = cv::Scalar::all(2.0/3);
randn(kernel, kernMean, kernStddev);
// OpenCV code /////////////////////////////////////////////////////////////
{
cv::filter2D(in_mat1, out_mat_ocv, dtype, kernel, anchor, delta, borderType);
}
// G-API code //////////////////////////////////////////////////////////////
cv::GMat in;
auto out = cv::gapi::filter2D(in, dtype, kernel, anchor, delta, borderType);
cv::GComputation c(in, out);
// Warm-up graph engine:
c.apply(in_mat1, out_mat_gapi);
TEST_CYCLE()
{
c.apply(in_mat1, out_mat_gapi);
}
// Comparison //////////////////////////////////////////////////////////////
{
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
}
SANITY_CHECK_NOTHING();
}
//------------------------------------------------------------------------------
class BoxFilterPerfTest : public TestPerfParams<tuple<MatType,int,cv::Size,int,int,double>> {};
PERF_TEST_P_(BoxFilterPerfTest, TestPerformance)
{
MatType type = 0;
int filterSize = 0, borderType = 0, dtype = 0;
cv::Size sz;
double tolerance = 0.0;
std::tie(type, filterSize, sz, borderType, dtype, tolerance) = GetParam();
initMatsRandN(type, sz, dtype, false);
cv::Point anchor = {-1, -1};
bool normalize = true;
// OpenCV code /////////////////////////////////////////////////////////////
{
cv::boxFilter(in_mat1, out_mat_ocv, dtype, cv::Size(filterSize, filterSize), anchor, normalize, borderType);
}
// G-API code //////////////////////////////////////////////////////////////
cv::GMat in;
auto out = cv::gapi::boxFilter(in, dtype, cv::Size(filterSize, filterSize), anchor, normalize, borderType);
cv::GComputation c(in, out);
// Warm-up graph engine:
c.apply(in_mat1, out_mat_gapi);
TEST_CYCLE()
{
c.apply(in_mat1, out_mat_gapi);
}
// Comparison //////////////////////////////////////////////////////////////
{
cv::Mat absDiff;
cv::absdiff(out_mat_gapi, out_mat_ocv, absDiff);
EXPECT_EQ(0, cv::countNonZero(absDiff > tolerance));
EXPECT_EQ(out_mat_gapi.size(), sz);
}
SANITY_CHECK_NOTHING();
}
//------------------------------------------------------------------------------
class BlurPerfTest : public TestPerfParams<tuple<MatType,int,cv::Size,int,double>> {};
PERF_TEST_P_(BlurPerfTest, TestPerformance)
{
MatType type = 0;
int filterSize = 0, borderType = 0;
cv::Size sz;
double tolerance = 0.0;
std::tie(type, filterSize, sz, borderType, tolerance) = GetParam();
initMatsRandN(type, sz, type, false);
cv::Point anchor = {-1, -1};
// OpenCV code /////////////////////////////////////////////////////////////
{
cv::blur(in_mat1, out_mat_ocv, cv::Size(filterSize, filterSize), anchor, borderType);
}
// G-API code //////////////////////////////////////////////////////////////
cv::GMat in;
auto out = cv::gapi::blur(in, cv::Size(filterSize, filterSize), anchor, borderType);
cv::GComputation c(in, out);
// Warm-up graph engine:
c.apply(in_mat1, out_mat_gapi);
TEST_CYCLE()
{
c.apply(in_mat1, out_mat_gapi);
}
// Comparison //////////////////////////////////////////////////////////////
{
cv::Mat absDiff;
cv::absdiff(out_mat_gapi, out_mat_ocv, absDiff);
EXPECT_EQ(0, cv::countNonZero(absDiff > tolerance));
EXPECT_EQ(out_mat_gapi.size(), sz);
}
SANITY_CHECK_NOTHING();
}
//------------------------------------------------------------------------------
class GaussianBlurPerfTest : public TestPerfParams<tuple<MatType, int, cv::Size>> {};
PERF_TEST_P_(GaussianBlurPerfTest, TestPerformance)
{
MatType type = 0;
int kernSize = 0;
cv::Size sz;
std::tie(type, kernSize, sz) = GetParam();
cv::Size kSize = cv::Size(kernSize, kernSize);
auto& rng = cv::theRNG();
double sigmaX = rng();
initMatsRandN(type, sz, type, false);
// OpenCV code ///////////////////////////////////////////////////////////
cv::GaussianBlur(in_mat1, out_mat_ocv, kSize, sigmaX);
// G-API code //////////////////////////////////////////////////////////////
cv::GMat in;
auto out = cv::gapi::gaussianBlur(in, kSize, sigmaX);
cv::GComputation c(in, out);
// Warm-up graph engine:
c.apply(in_mat1, out_mat_gapi);
TEST_CYCLE()
{
c.apply(in_mat1, out_mat_gapi);
}
// Comparison ////////////////////////////////////////////////////////////
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
SANITY_CHECK_NOTHING();
}
//------------------------------------------------------------------------------
class MedianBlurPerfTest : public TestPerfParams<tuple<MatType,int,cv::Size>> {};
PERF_TEST_P_(MedianBlurPerfTest, TestPerformance)
{
MatType type = 0;
int kernSize = 0;
cv::Size sz;
std::tie(type, kernSize, sz) = GetParam();
initMatsRandN(type, sz, type, false);
// OpenCV code /////////////////////////////////////////////////////////////
{
cv::medianBlur(in_mat1, out_mat_ocv, kernSize);
}
// G-API code //////////////////////////////////////////////////////////////
cv::GMat in;
auto out = cv::gapi::medianBlur(in, kernSize);
cv::GComputation c(in, out);
// Warm-up graph engine:
c.apply(in_mat1, out_mat_gapi);
TEST_CYCLE()
{
c.apply(in_mat1, out_mat_gapi);
}
// Comparison //////////////////////////////////////////////////////////////
{
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
}
SANITY_CHECK_NOTHING();
}
//------------------------------------------------------------------------------
class ErodePerfTest : public TestPerfParams<tuple<MatType,int,cv::Size,int>> {};
PERF_TEST_P_(ErodePerfTest, TestPerformance)
{
MatType type = 0;
int kernSize = 0, kernType = 0;
cv::Size sz;
std::tie(type, kernSize, sz, kernType) = GetParam();
initMatsRandN(type, sz, type, false);
cv::Mat kernel = cv::getStructuringElement(kernType, cv::Size(kernSize, kernSize));
// OpenCV code /////////////////////////////////////////////////////////////
{
cv::erode(in_mat1, out_mat_ocv, kernel);
}
// G-API code //////////////////////////////////////////////////////////////
cv::GMat in;
auto out = cv::gapi::erode(in, kernel);
cv::GComputation c(in, out);
// Warm-up graph engine:
c.apply(in_mat1, out_mat_gapi);
TEST_CYCLE()
{
c.apply(in_mat1, out_mat_gapi);
}
// Comparison //////////////////////////////////////////////////////////////
{
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
}
SANITY_CHECK_NOTHING();
}
//------------------------------------------------------------------------------
class Erode3x3PerfTest : public TestPerfParams<tuple<MatType,cv::Size,int>> {};
PERF_TEST_P_(Erode3x3PerfTest, TestPerformance)
{
MatType type = 0;
int numIters = 0;
cv::Size sz;
std::tie(type, sz, numIters) = GetParam();
initMatsRandN(type, sz, type, false);
cv::Mat kernel = cv::getStructuringElement(cv::MorphShapes::MORPH_RECT, cv::Size(3, 3));
// OpenCV code /////////////////////////////////////////////////////////////
{
cv::erode(in_mat1, out_mat_ocv, kernel, cv::Point(-1, -1), numIters);
}
// G-API code //////////////////////////////////////////////////////////////
cv::GMat in;
auto out = cv::gapi::erode3x3(in, numIters);
cv::GComputation c(in, out);
// Warm-up graph engine:
c.apply(in_mat1, out_mat_gapi);
TEST_CYCLE()
{
c.apply(in_mat1, out_mat_gapi);
}
// Comparison //////////////////////////////////////////////////////////////
{
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
}
SANITY_CHECK_NOTHING();
}
//------------------------------------------------------------------------------
class DilatePerfTest : public TestPerfParams<tuple<MatType,int,cv::Size,int>> {};
PERF_TEST_P_(DilatePerfTest, TestPerformance)
{
MatType type = 0;
int kernSize = 0, kernType = 0;
cv::Size sz;
std::tie(type, kernSize, sz, kernType) = GetParam();
initMatsRandN(type, sz, type, false);
cv::Mat kernel = cv::getStructuringElement(kernType, cv::Size(kernSize, kernSize));
// OpenCV code /////////////////////////////////////////////////////////////
{
cv::dilate(in_mat1, out_mat_ocv, kernel);
}
// G-API code //////////////////////////////////////////////////////////////
cv::GMat in;
auto out = cv::gapi::dilate(in, kernel);
cv::GComputation c(in, out);
// Warm-up graph engine:
c.apply(in_mat1, out_mat_gapi);
TEST_CYCLE()
{
c.apply(in_mat1, out_mat_gapi);
}
// Comparison //////////////////////////////////////////////////////////////
{
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
}
SANITY_CHECK_NOTHING();
}
//------------------------------------------------------------------------------
class Dilate3x3PerfTest : public TestPerfParams<tuple<MatType,cv::Size,int>> {};
PERF_TEST_P_(Dilate3x3PerfTest, TestPerformance)
{
MatType type = 0;
int numIters = 0;
cv::Size sz;
std::tie(type, sz, numIters) = GetParam();
initMatsRandN(type, sz, type, false);
cv::Mat kernel = cv::getStructuringElement(cv::MorphShapes::MORPH_RECT, cv::Size(3, 3));
// OpenCV code /////////////////////////////////////////////////////////////
{
cv::dilate(in_mat1, out_mat_ocv, kernel, cv::Point(-1,-1), numIters);
}
// G-API code //////////////////////////////////////////////////////////////
cv::GMat in;
auto out = cv::gapi::dilate3x3(in, numIters);
cv::GComputation c(in, out);
// Warm-up graph engine:
c.apply(in_mat1, out_mat_gapi);
TEST_CYCLE()
{
c.apply(in_mat1, out_mat_gapi);
}
// Comparison //////////////////////////////////////////////////////////////
{
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
}
SANITY_CHECK_NOTHING();
}
//------------------------------------------------------------------------------
class SobelPerfTest : public TestPerfParams<tuple<MatType,int,cv::Size,int,int,int>> {};
PERF_TEST_P_(SobelPerfTest, TestPerformance)
{
MatType type = 0;
int kernSize = 0, dtype = 0, dx = 0, dy = 0;
cv::Size sz;
std::tie(type, kernSize, sz, dtype, dx, dy) = GetParam();
initMatsRandN(type, sz, dtype, false);
// OpenCV code /////////////////////////////////////////////////////////////
{
cv::Sobel(in_mat1, out_mat_ocv, dtype, dx, dy, kernSize);
}
// G-API code //////////////////////////////////////////////////////////////
cv::GMat in;
auto out = cv::gapi::Sobel(in, dtype, dx, dy, kernSize );
cv::GComputation c(in, out);
// Warm-up graph engine:
c.apply(in_mat1, out_mat_gapi);
TEST_CYCLE()
{
c.apply(in_mat1, out_mat_gapi);
}
// Comparison //////////////////////////////////////////////////////////////
{
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
}
SANITY_CHECK_NOTHING();
}
//------------------------------------------------------------------------------
class CannyPerfTest : public TestPerfParams<tuple<MatType,cv::Size,double,double,int,bool>> {};
PERF_TEST_P_(CannyPerfTest, TestPerformance)
{
MatType type;
int apSize = 0;
double thrLow = 0.0, thrUp = 0.0;
cv::Size sz;
bool l2gr = false;
std::tie(type, sz, thrLow, thrUp, apSize, l2gr) = GetParam();
initMatsRandN(type, sz, CV_8UC1, false);
// OpenCV code /////////////////////////////////////////////////////////////
{
cv::Canny(in_mat1, out_mat_ocv, thrLow, thrUp, apSize, l2gr);
}
// G-API code //////////////////////////////////////////////////////////////
cv::GMat in;
auto out = cv::gapi::Canny(in, thrLow, thrUp, apSize, l2gr);
cv::GComputation c(in, out);
// Warm-up graph engine:
c.apply(in_mat1, out_mat_gapi);
TEST_CYCLE()
{
c.apply(in_mat1, out_mat_gapi);
}
// Comparison //////////////////////////////////////////////////////////////
{
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
}
SANITY_CHECK_NOTHING();
}
//------------------------------------------------------------------------------
class EqHistPerfTest : public TestPerfParams<cv::Size> {};
PERF_TEST_P_(EqHistPerfTest, TestPerformance)
{
cv::Size sz = GetParam();
initMatsRandN(CV_8UC1, sz, CV_8UC1, false);
// OpenCV code /////////////////////////////////////////////////////////////
{
cv::equalizeHist(in_mat1, out_mat_ocv);
}
// G-API code //////////////////////////////////////////////////////////////
cv::GMat in;
auto out = cv::gapi::equalizeHist(in);
cv::GComputation c(in, out);
// Warm-up graph engine:
c.apply(in_mat1, out_mat_gapi);
TEST_CYCLE()
{
c.apply(in_mat1, out_mat_gapi);
}
// Comparison //////////////////////////////////////////////////////////////
{
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
}
SANITY_CHECK_NOTHING();
}
//------------------------------------------------------------------------------
class RGB2GrayPerfTest : public TestPerfParams<cv::Size> {};
PERF_TEST_P_(RGB2GrayPerfTest, TestPerformance)
{
cv::Size sz = GetParam();
initMatsRandN(CV_8UC3, sz, CV_8UC1, false);
// OpenCV code /////////////////////////////////////////////////////////////
{
cv::cvtColor(in_mat1, out_mat_ocv, cv::COLOR_RGB2GRAY);
}
// G-API code //////////////////////////////////////////////////////////////
cv::GMat in;
auto out = cv::gapi::RGB2Gray(in);
cv::GComputation c(in, out);
// Warm-up graph engine:
c.apply(in_mat1, out_mat_gapi);
TEST_CYCLE()
{
c.apply(in_mat1, out_mat_gapi);
}
// Comparison //////////////////////////////////////////////////////////////
{
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
}
SANITY_CHECK_NOTHING();
}
//------------------------------------------------------------------------------
class BGR2GrayPerfTest : public TestPerfParams<cv::Size> {};
PERF_TEST_P_(BGR2GrayPerfTest, TestPerformance)
{
cv::Size sz = GetParam();
initMatsRandN(CV_8UC3, sz, CV_8UC1, false);
// OpenCV code /////////////////////////////////////////////////////////////
{
cv::cvtColor(in_mat1, out_mat_ocv, cv::COLOR_BGR2GRAY);
}
// G-API code //////////////////////////////////////////////////////////////
cv::GMat in;
auto out = cv::gapi::BGR2Gray(in);
cv::GComputation c(in, out);
// Warm-up graph engine:
c.apply(in_mat1, out_mat_gapi);
TEST_CYCLE()
{
c.apply(in_mat1, out_mat_gapi);
}
// Comparison //////////////////////////////////////////////////////////////
{
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
}
SANITY_CHECK_NOTHING();
}
//------------------------------------------------------------------------------
class RGB2YUVPerfTest : public TestPerfParams<cv::Size> {};
PERF_TEST_P_(RGB2YUVPerfTest, TestPerformance)
{
cv::Size sz = GetParam();
initMatsRandN(CV_8UC3, sz, CV_8UC3, false);
// OpenCV code /////////////////////////////////////////////////////////////
{
cv::cvtColor(in_mat1, out_mat_ocv, cv::COLOR_RGB2YUV);
}
// G-API code //////////////////////////////////////////////////////////////
cv::GMat in;
auto out = cv::gapi::RGB2YUV(in);
cv::GComputation c(in, out);
// Warm-up graph engine:
c.apply(in_mat1, out_mat_gapi);
TEST_CYCLE()
{
c.apply(in_mat1, out_mat_gapi);
}
// Comparison //////////////////////////////////////////////////////////////
{
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
}
SANITY_CHECK_NOTHING();
}
//------------------------------------------------------------------------------
class YUV2RGBPerfTest : public TestPerfParams<cv::Size> {};
PERF_TEST_P_(YUV2RGBPerfTest, TestPerformance)
{
cv::Size sz = GetParam();
initMatsRandN(CV_8UC3, sz, CV_8UC3, false);
// OpenCV code /////////////////////////////////////////////////////////////
{
cv::cvtColor(in_mat1, out_mat_ocv, cv::COLOR_YUV2RGB);
}
// G-API code //////////////////////////////////////////////////////////////
cv::GMat in;
auto out = cv::gapi::YUV2RGB(in);
cv::GComputation c(in, out);
// Warm-up graph engine:
c.apply(in_mat1, out_mat_gapi);
TEST_CYCLE()
{
c.apply(in_mat1, out_mat_gapi);
}
// Comparison //////////////////////////////////////////////////////////////
{
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
}
SANITY_CHECK_NOTHING();
}
//------------------------------------------------------------------------------
class RGB2LabPerfTest : public TestPerfParams<cv::Size> {};
PERF_TEST_P_(RGB2LabPerfTest, TestPerformance)
{
cv::Size sz = GetParam();
initMatsRandN(CV_8UC3, sz, CV_8UC3, false);
// OpenCV code /////////////////////////////////////////////////////////////
{
cv::cvtColor(in_mat1, out_mat_ocv, cv::COLOR_RGB2Lab);
}
// G-API code //////////////////////////////////////////////////////////////
cv::GMat in;
auto out = cv::gapi::RGB2Lab(in);
cv::GComputation c(in, out);
// Warm-up graph engine:
c.apply(in_mat1, out_mat_gapi);
TEST_CYCLE()
{
c.apply(in_mat1, out_mat_gapi);
}
// Comparison //////////////////////////////////////////////////////////////
{
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
}
SANITY_CHECK_NOTHING();
}
//------------------------------------------------------------------------------
class BGR2LUVPerfTest : public TestPerfParams<cv::Size> {};
PERF_TEST_P_(BGR2LUVPerfTest, TestPerformance)
{
cv::Size sz = GetParam();
initMatsRandN(CV_8UC3, sz, CV_8UC3, false);
// OpenCV code /////////////////////////////////////////////////////////////
{
cv::cvtColor(in_mat1, out_mat_ocv, cv::COLOR_BGR2Luv);
}
// G-API code //////////////////////////////////////////////////////////////
cv::GMat in;
auto out = cv::gapi::BGR2LUV(in);
cv::GComputation c(in, out);
// Warm-up graph engine:
c.apply(in_mat1, out_mat_gapi);
TEST_CYCLE()
{
c.apply(in_mat1, out_mat_gapi);
}
// Comparison //////////////////////////////////////////////////////////////
{
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
}
SANITY_CHECK_NOTHING();
}
//------------------------------------------------------------------------------
class LUV2BGRPerfTest : public TestPerfParams<cv::Size> {};
PERF_TEST_P_(LUV2BGRPerfTest, TestPerformance)
{
cv::Size sz = GetParam();
initMatsRandN(CV_8UC3, sz, CV_8UC3, false);
// OpenCV code /////////////////////////////////////////////////////////////
{
cv::cvtColor(in_mat1, out_mat_ocv, cv::COLOR_Luv2BGR);
}
// G-API code //////////////////////////////////////////////////////////////
cv::GMat in;
auto out = cv::gapi::LUV2BGR(in);
cv::GComputation c(in, out);
// Warm-up graph engine:
c.apply(in_mat1, out_mat_gapi);
TEST_CYCLE()
{
c.apply(in_mat1, out_mat_gapi);
}
// Comparison //////////////////////////////////////////////////////////////
{
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
}
SANITY_CHECK_NOTHING();
}
//------------------------------------------------------------------------------
class BGR2YUVPerfTest : public TestPerfParams<cv::Size> {};
PERF_TEST_P_(BGR2YUVPerfTest, TestPerformance)
{
cv::Size sz = GetParam();
initMatsRandN(CV_8UC3, sz, CV_8UC3, false);
cv::cvtColor(in_mat1, out_mat_ocv, cv::COLOR_BGR2YUV);
cv::GMat in;
auto out = cv::gapi::BGR2YUV(in);
cv::GComputation c(in, out);
// Warm-up graph engine:
c.apply(in_mat1, out_mat_gapi);
TEST_CYCLE()
{
c.apply(in_mat1, out_mat_gapi);
}
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
SANITY_CHECK_NOTHING();
}
//------------------------------------------------------------------------------
class YUV2BGRPerfTest : public TestPerfParams<cv::Size> {};
PERF_TEST_P_(YUV2BGRPerfTest, TestPerformance)
{
cv::Size sz = GetParam();
initMatsRandN(CV_8UC3, sz, CV_8UC3, false);
cv::cvtColor(in_mat1, out_mat_ocv, cv::COLOR_YUV2BGR);
cv::GMat in;
auto out = cv::gapi::YUV2BGR(in);
cv::GComputation c(in, out);
// Warm-up graph engine:
c.apply(in_mat1, out_mat_gapi);
TEST_CYCLE()
{
c.apply(in_mat1, out_mat_gapi);
}
EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
EXPECT_EQ(out_mat_gapi.size(), sz);
SANITY_CHECK_NOTHING();
}
//------------------------------------------------------------------------------
}