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Merge pull request #440 from AnnaKogan8:fixed-perfomance-tests
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commit
d4e7bec29a
@ -52,7 +52,8 @@ PERF_TEST_P( Size_MatType_CmpType, compareScalar,
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declare.in(src1, src2, WARMUP_RNG).out(dst);
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TEST_CYCLE() cv::compare(src1, src2, dst, cmpType);
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int runs = (sz.width <= 640) ? 8 : 1;
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TEST_CYCLE_MULTIRUN(runs) cv::compare(src1, src2, dst, cmpType);
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SANITY_CHECK(dst);
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}
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@ -29,9 +29,9 @@ PERF_TEST_P( Size_DepthSrc_DepthDst_Channels_alpha, convertTo,
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Mat src(sz, CV_MAKETYPE(depthSrc, channels));
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randu(src, 0, 255);
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Mat dst(sz, CV_MAKETYPE(depthDst, channels));
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declare.iterations(500);
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TEST_CYCLE() src.convertTo(dst, depthDst, alpha);
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int runs = (sz.width <= 640) ? 8 : 1;
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TEST_CYCLE_MULTIRUN(runs) src.convertTo(dst, depthDst, alpha);
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SANITY_CHECK(dst, alpha == 1.0 ? 1e-12 : 1e-7);
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}
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@ -18,7 +18,8 @@ PERF_TEST_P(Size_MatType, Mat_Eye,
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declare.out(diagonalMatrix);
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TEST_CYCLE()
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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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@ -38,7 +39,8 @@ PERF_TEST_P(Size_MatType, Mat_Zeros,
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declare.out(zeroMatrix);
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TEST_CYCLE()
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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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@ -30,7 +30,8 @@ PERF_TEST_P( Size_SrcDepth_DstChannels, merge,
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}
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Mat dst;
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TEST_CYCLE() merge( (vector<Mat> &)mv, dst );
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int runs = (sz.width <= 640) ? 8 : 1;
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TEST_CYCLE_MULTIRUN(runs) merge( (vector<Mat> &)mv, dst );
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SANITY_CHECK(dst, 1e-12);
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}
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@ -26,8 +26,8 @@ PERF_TEST_P( Size_Depth_Channels, split,
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randu(m, 0, 255);
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vector<Mat> mv;
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TEST_CYCLE() split(m, (vector<Mat>&)mv);
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int runs = (sz.width <= 640) ? 8 : 1;
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TEST_CYCLE_MULTIRUN(runs) split(m, (vector<Mat>&)mv);
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SANITY_CHECK(mv, 1e-12);
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}
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@ -97,7 +97,8 @@ PERF_TEST_P(Size_MatType, countNonZero, testing::Combine( testing::Values( TYPIC
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declare.in(src, WARMUP_RNG);
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TEST_CYCLE() cnt = countNonZero(src);
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int runs = (sz.width <= 640) ? 8 : 1;
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TEST_CYCLE_MULTIRUN(runs) cnt = countNonZero(src);
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SANITY_CHECK(cnt);
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}
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@ -299,10 +299,10 @@ PERF_TEST_P(Size_CvtMode2, cvtColorYUV420,
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Mat src(sz.height + sz.height / 2, sz.width, CV_8UC(ch.scn));
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Mat dst(sz, CV_8UC(ch.dcn));
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declare.time(100);
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declare.in(src, WARMUP_RNG).out(dst);
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TEST_CYCLE() cvtColor(src, dst, mode, ch.dcn);
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int runs = (sz.width <= 640) ? 8 : 1;
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TEST_CYCLE_MULTIRUN(runs) cvtColor(src, dst, mode, ch.dcn);
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SANITY_CHECK(dst, 1);
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}
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@ -33,7 +33,8 @@ PERF_TEST_P(ImgSize_TmplSize_Method, matchTemplateSmall,
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declare
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.in(img, WARMUP_RNG)
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.in(tmpl, WARMUP_RNG)
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.out(result);
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.out(result)
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.time(30);
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TEST_CYCLE() matchTemplate(img, tmpl, result, method);
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@ -66,7 +67,8 @@ PERF_TEST_P(ImgSize_TmplSize_Method, matchTemplateBig,
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declare
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.in(img, WARMUP_RNG)
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.in(tmpl, WARMUP_RNG)
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.out(result);
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.out(result)
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.time(30);
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TEST_CYCLE() matchTemplate(img, tmpl, result, method);
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@ -31,9 +31,9 @@ PERF_TEST_P(Size_MatType_ThreshType, threshold,
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double maxval = theRNG().uniform(1, 254);
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declare.in(src, WARMUP_RNG).out(dst);
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declare.iterations(500);
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TEST_CYCLE() threshold(src, dst, thresh, maxval, threshType);
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int runs = (sz.width <= 640) ? 8 : 1;
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TEST_CYCLE_MULTIRUN(runs) threshold(src, dst, thresh, maxval, threshType);
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SANITY_CHECK(dst);
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}
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@ -13,7 +13,7 @@ pair<string, string> impair(const char* im1, const char* im2)
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PERF_TEST_P(ImagePair, OpticalFlowDual_TVL1, testing::Values(impair("cv/optflow/RubberWhale1.png", "cv/optflow/RubberWhale2.png")))
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{
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declare.time(40);
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declare.time(260);
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Mat frame1 = imread(getDataPath(GetParam().first), IMREAD_GRAYSCALE);
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Mat frame2 = imread(getDataPath(GetParam().second), IMREAD_GRAYSCALE);
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