opencv/modules/imgproc/perf/opencl/perf_blend.cpp

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/*M///////////////////////////////////////////////////////////////////////////////////////
//
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// For Open Source Computer Vision Library
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// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
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#include "../perf_precomp.hpp"
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#include "opencv2/ts/ocl_perf.hpp"
#ifdef HAVE_OPENCL
namespace cvtest {
namespace ocl {
///////////// BlendLinear ////////////////////////
typedef Size_MatType BlendLinearFixture;
OCL_PERF_TEST_P(BlendLinearFixture, BlendLinear, ::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(CV_32FC1, CV_32FC3, CV_32FC4, CV_8UC1, CV_8UC3, CV_8UC4)))
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{
Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int srcType = get<1>(params);
const double eps = CV_MAT_DEPTH(srcType) <= CV_32S ? 1.0 : 0.2;
checkDeviceMaxMemoryAllocSize(srcSize, srcType);
UMat src1(srcSize, srcType), src2(srcSize, srcType), dst(srcSize, srcType);
UMat weights1(srcSize, CV_32FC1), weights2(srcSize, CV_32FC1);
declare.in(src1, src2, WARMUP_RNG).in(weights1, weights2, WARMUP_READ).out(dst);
randu(weights1, 0, 1);
randu(weights2, 0, 1);
OCL_TEST_CYCLE() cv::blendLinear(src1, src2, weights1, weights2, dst);
SANITY_CHECK(dst, eps);
}
} } // namespace cvtest::ocl
#endif // HAVE_OPENCL