118 lines
2.8 KiB
C++
118 lines
2.8 KiB
C++
#include "perf_precomp.hpp"
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using namespace std;
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using namespace cv;
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using namespace perf;
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using namespace testing;
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using std::tr1::make_tuple;
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using std::tr1::get;
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typedef tr1::tuple<Size, MatType> Size_Source_t;
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typedef TestBaseWithParam<Size_Source_t> Size_Source;
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typedef TestBaseWithParam<Size> MatSize;
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static const float rangeHight = 256.0f;
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static const float rangeLow = 0.0f;
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PERF_TEST_P(Size_Source, calcHist1d,
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testing::Combine(testing::Values(sz3MP, sz5MP),
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testing::Values(CV_8U, CV_16U, CV_32F) )
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)
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{
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Size size = get<0>(GetParam());
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MatType type = get<1>(GetParam());
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Mat source(size.height, size.width, type);
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Mat hist;
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int channels [] = {0};
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int histSize [] = {256};
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int dims = 1;
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int numberOfImages = 1;
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const float r[] = {rangeLow, rangeHight};
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const float* ranges[] = {r};
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randu(source, rangeLow, rangeHight);
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declare.in(source);
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TEST_CYCLE()
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{
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calcHist(&source, numberOfImages, channels, Mat(), hist, dims, histSize, ranges);
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}
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SANITY_CHECK(hist);
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}
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PERF_TEST_P(Size_Source, calcHist2d,
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testing::Combine(testing::Values(sz3MP, sz5MP),
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testing::Values(CV_8UC2, CV_16UC2, CV_32FC2) )
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)
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{
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Size size = get<0>(GetParam());
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MatType type = get<1>(GetParam());
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Mat source(size.height, size.width, type);
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Mat hist;
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int channels [] = {0, 1};
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int histSize [] = {256, 256};
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int dims = 2;
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int numberOfImages = 1;
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const float r[] = {rangeLow, rangeHight};
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const float* ranges[] = {r, r};
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randu(source, rangeLow, rangeHight);
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declare.in(source);
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TEST_CYCLE()
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{
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calcHist(&source, numberOfImages, channels, Mat(), hist, dims, histSize, ranges);
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}
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SANITY_CHECK(hist);
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}
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PERF_TEST_P(Size_Source, calcHist3d,
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testing::Combine(testing::Values(sz3MP, sz5MP),
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testing::Values(CV_8UC3, CV_16UC3, CV_32FC3) )
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)
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{
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Size size = get<0>(GetParam());
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MatType type = get<1>(GetParam());
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Mat hist;
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int channels [] = {0, 1, 2};
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int histSize [] = {32, 32, 32};
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int dims = 3;
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int numberOfImages = 1;
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Mat source(size.height, size.width, type);
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const float r[] = {rangeLow, rangeHight};
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const float* ranges[] = {r, r, r};
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randu(source, rangeLow, rangeHight);
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declare.in(source);
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TEST_CYCLE()
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{
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calcHist(&source, numberOfImages, channels, Mat(), hist, dims, histSize, ranges);
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}
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SANITY_CHECK(hist);
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}
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PERF_TEST_P(MatSize, equalizeHist,
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testing::Values(TYPICAL_MAT_SIZES)
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)
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{
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Size size = GetParam();
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Mat source(size.height, size.width, CV_8U);
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Mat destination;
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declare.in(source, WARMUP_RNG);
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TEST_CYCLE()
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{
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equalizeHist(source, destination);
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}
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SANITY_CHECK(destination);
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}
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