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Open Source Computer Vision Library
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169 lines
4.4 KiB
169 lines
4.4 KiB
#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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PERF_TEST_P(Size_MatType, Mat_Eye, |
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testing::Combine(testing::Values(TYPICAL_MAT_SIZES), |
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testing::Values(TYPICAL_MAT_TYPES)) |
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) |
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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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Mat diagonalMatrix(size.height, size.width, type); |
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declare.out(diagonalMatrix); |
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int runs = (size.width <= 640) ? 15 : 5; |
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TEST_CYCLE_MULTIRUN(runs) |
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{ |
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diagonalMatrix = Mat::eye(size, type); |
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} |
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SANITY_CHECK(diagonalMatrix, 1); |
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} |
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PERF_TEST_P(Size_MatType, Mat_Zeros, |
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testing::Combine(testing::Values(TYPICAL_MAT_SIZES), |
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testing::Values(TYPICAL_MAT_TYPES, CV_32FC3)) |
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) |
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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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Mat zeroMatrix(size.height, size.width, type); |
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declare.out(zeroMatrix); |
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int runs = (size.width <= 640) ? 15 : 5; |
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TEST_CYCLE_MULTIRUN(runs) |
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{ |
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zeroMatrix = Mat::zeros(size, type); |
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} |
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SANITY_CHECK(zeroMatrix, 1); |
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} |
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PERF_TEST_P(Size_MatType, Mat_Clone, |
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testing::Combine(testing::Values(TYPICAL_MAT_SIZES), |
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testing::Values(TYPICAL_MAT_TYPES)) |
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) |
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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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Mat source(size.height, size.width, type); |
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Mat destination(size.height, size.width, type); |
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declare.in(source, WARMUP_RNG).out(destination); |
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TEST_CYCLE() |
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{ |
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Mat tmp = source.clone(); |
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(void)tmp; |
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} |
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destination = source.clone(); |
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SANITY_CHECK(destination, 1); |
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} |
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PERF_TEST_P(Size_MatType, Mat_Clone_Roi, |
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testing::Combine(testing::Values(TYPICAL_MAT_SIZES), |
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testing::Values(TYPICAL_MAT_TYPES)) |
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) |
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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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unsigned int width = size.width; |
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unsigned int height = size.height; |
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Mat source(height, width, type); |
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Mat destination(size.height/2, size.width/2, type); |
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declare.in(source, WARMUP_RNG).out(destination); |
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Mat roi(source, Rect(width/4, height/4, 3*width/4, 3*height/4)); |
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TEST_CYCLE() |
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{ |
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Mat tmp = roi.clone(); |
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(void)tmp; |
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} |
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destination = roi.clone(); |
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SANITY_CHECK(destination, 1); |
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} |
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PERF_TEST_P(Size_MatType, Mat_CopyToWithMask, |
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testing::Combine(testing::Values(::perf::sz1080p, ::perf::szODD), |
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testing::Values(CV_8UC1, CV_8UC2, CV_8UC3, CV_16UC1, CV_32SC1, CV_32FC4)) |
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) |
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{ |
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const Size_MatType_t params = GetParam(); |
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const Size size = get<0>(params); |
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const int type = get<1>(params); |
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Mat src(size, type), dst(size, type), mask(size, CV_8UC1); |
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declare.in(src, mask, WARMUP_RNG).out(dst); |
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TEST_CYCLE() |
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{ |
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src.copyTo(dst, mask); |
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} |
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SANITY_CHECK(dst); |
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} |
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PERF_TEST_P(Size_MatType, Mat_SetToWithMask, |
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testing::Combine(testing::Values(TYPICAL_MAT_SIZES), |
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testing::Values(CV_8UC1, CV_8UC2)) |
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) |
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{ |
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const Size_MatType_t params = GetParam(); |
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const Size size = get<0>(params); |
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const int type = get<1>(params); |
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const Scalar sc = Scalar::all(27); |
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Mat src(size, type), mask(size, CV_8UC1); |
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declare.in(src, mask, WARMUP_RNG).out(src); |
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TEST_CYCLE() |
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{ |
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src.setTo(sc, mask); |
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} |
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SANITY_CHECK(src); |
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} |
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///////////// Transform //////////////////////// |
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PERF_TEST_P(Size_MatType, Mat_Transform, |
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testing::Combine(testing::Values(TYPICAL_MAT_SIZES), |
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testing::Values(CV_8UC3, CV_8SC3, CV_16UC3, CV_16SC3, CV_32SC3, CV_32FC3, CV_64FC3)) |
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) |
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{ |
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const Size_MatType_t params = GetParam(); |
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const Size srcSize0 = get<0>(params); |
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const Size srcSize = Size(1, srcSize0.width*srcSize0.height); |
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const int type = get<1>(params); |
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const float transform[] = { 0.5f, 0.f, 0.86602540378f, 128, |
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0.f, 1.f, 0.f, -64, |
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0.86602540378f, 0.f, 0.5f, 32,}; |
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Mat mtx(Size(4, 3), CV_32FC1, (void*)transform); |
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Mat src(srcSize, type), dst(srcSize, type); |
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randu(src, 0, 30); |
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declare.in(src).out(dst); |
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TEST_CYCLE() |
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{ |
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cv::transform(src, dst, mtx); |
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} |
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SANITY_CHECK(dst, 1e-6, ERROR_RELATIVE); |
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} |
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} // namespace
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