Open Source Computer Vision Library https://opencv.org/
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/*M///////////////////////////////////////////////////////////////////////////////////////
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// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
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11 years ago
#include "../perf_precomp.hpp"
#include "opencv2/ts/ocl_perf.hpp"
#ifdef HAVE_OPENCL
namespace opencv_test {
namespace ocl {
///////////// BlendLinear ////////////////////////
typedef Size_MatType BlendLinearFixture;
OCL_PERF_TEST_P(BlendLinearFixture, BlendLinear, ::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134))
{
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 opencv_test::ocl
#endif // HAVE_OPENCL