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https://github.com/opencv/opencv.git
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80b62a41c6
* rewrote Mat::convertTo() and convertScaleAbs() to wide universal intrinsics; added always-available and SIMD-optimized FP16<=>FP32 conversion * fixed compile warnings * fix some more compile errors * slightly relaxed accuracy threshold for int->float conversion (since we now do it using single-precision arithmetics, not double-precision) * fixed compile errors on iOS, Android and in the baseline C++ version (intrin_cpp.hpp) * trying to fix ARM-neon builds * trying to fix ARM-neon builds * trying to fix ARM-neon builds * trying to fix ARM-neon builds
38 lines
992 B
C++
38 lines
992 B
C++
#include "perf_precomp.hpp"
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namespace opencv_test
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{
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using namespace perf;
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#define TYPICAL_MAT_TYPES_ADWEIGHTED CV_8UC1, CV_8UC4, CV_8SC1, CV_16UC1, CV_16SC1, CV_32SC1
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#define TYPICAL_MATS_ADWEIGHTED testing::Combine(testing::Values(szVGA, sz720p, sz1080p), testing::Values(TYPICAL_MAT_TYPES_ADWEIGHTED))
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PERF_TEST_P(Size_MatType, addWeighted, TYPICAL_MATS_ADWEIGHTED)
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{
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Size size = get<0>(GetParam());
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int type = get<1>(GetParam());
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int depth = CV_MAT_DEPTH(type);
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Mat src1(size, type);
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Mat src2(size, type);
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double alpha = 3.75;
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double beta = -0.125;
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double gamma = 100.0;
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Mat dst(size, type);
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declare.in(src1, src2, dst, WARMUP_RNG).out(dst);
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if (depth == CV_32S)
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{
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// there might be not enough precision for integers
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src1 /= 2048;
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src2 /= 2048;
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}
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TEST_CYCLE() cv::addWeighted( src1, alpha, src2, beta, gamma, dst, dst.type() );
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SANITY_CHECK(dst, depth == CV_32S ? 4 : 1);
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}
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} // namespace
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