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