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https://github.com/opencv/opencv.git
synced 2024-11-28 21:20:18 +08:00
updated nv perf test script (added opticalFlowBM and HoughLinesP)
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@ -4,6 +4,7 @@
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#include <opencv2/gpu/gpu.hpp>
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#include <opencv2/highgui/highgui.hpp>
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#include <opencv2/video/video.hpp>
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#include <opencv2/legacy/legacy.hpp>
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#include <opencv2/ts/ts.hpp>
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#include <opencv2/ts/ts_perf.hpp>
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@ -66,19 +67,75 @@ int main(int argc, char* argv[])
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return RUN_ALL_TESTS();
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}
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//////////////////////////////////////////////////////////
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// Tests
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#define DEF_PARAM_TEST(name, ...) typedef ::perf::TestBaseWithParam< std::tr1::tuple< __VA_ARGS__ > > name
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#define DEF_PARAM_TEST_1(name, param_type) typedef ::perf::TestBaseWithParam< param_type > name
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DEF_PARAM_TEST_1(Depth, perf::MatDepth);
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//////////////////////////////////////////////////////////
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// HoughLinesP
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PERF_TEST_P(Depth, GoodFeaturesToTrack, testing::Values(CV_8U, CV_16U))
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DEF_PARAM_TEST_1(Image, std::string);
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PERF_TEST_P(Image, HoughLinesP,
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testing::Values(std::string("im1_1280x800.jpg")))
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{
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declare.time(30.0);
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std::string fileName = GetParam();
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const double rho = 1.0;
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const double theta = 1.0;
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const int threshold = 40;
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const int minLineLenght = 20;
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const int maxLineGap = 5;
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cv::Mat image = cv::imread(fileName, cv::IMREAD_GRAYSCALE);
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if (PERF_RUN_GPU())
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{
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cv::gpu::GpuMat d_image(image);
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cv::gpu::GpuMat d_lines;
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cv::gpu::CannyBuf d_buf;
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cv::gpu::HoughLinesP(d_image, d_lines, d_buf, minLineLenght, maxLineGap);
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TEST_CYCLE()
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{
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cv::gpu::HoughLinesP(d_image, d_lines, d_buf, minLineLenght, maxLineGap);
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}
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}
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else
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{
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cv::Mat mask;
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cv::Canny(image, mask, 50, 100);
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std::vector<cv::Vec4i> lines;
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cv::HoughLinesP(mask, lines, rho, theta, threshold, minLineLenght, maxLineGap);
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TEST_CYCLE()
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{
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cv::HoughLinesP(mask, lines, rho, theta, threshold, minLineLenght, maxLineGap);
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}
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}
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SANITY_CHECK(0);
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}
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//////////////////////////////////////////////////////////
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// GoodFeaturesToTrack
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DEF_PARAM_TEST(Image_Depth, std::string, perf::MatDepth);
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PERF_TEST_P(Image_Depth, GoodFeaturesToTrack,
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testing::Combine(
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testing::Values(std::string("im1_1280x800.jpg")),
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testing::Values(CV_8U, CV_16U)
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))
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{
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declare.time(60);
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const int depth = GetParam();
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const std::string fileName = std::tr1::get<0>(GetParam());
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const int depth = std::tr1::get<1>(GetParam());
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const int maxCorners = 5000;
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const double qualityLevel = 0.05;
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const int minDistance = 5;
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@ -86,8 +143,6 @@ PERF_TEST_P(Depth, GoodFeaturesToTrack, testing::Values(CV_8U, CV_16U))
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const bool useHarrisDetector = true;
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const double k = 0.05;
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const std::string fileName = "im1_1280x800.jpg";
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cv::Mat src = cv::imread(fileName, cv::IMREAD_GRAYSCALE);
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if (src.empty())
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FAIL() << "Unable to load source image [" << fileName << "]";
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@ -115,6 +170,9 @@ PERF_TEST_P(Depth, GoodFeaturesToTrack, testing::Values(CV_8U, CV_16U))
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}
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else
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{
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if (depth != CV_8U)
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FAIL() << "Unsupported depth";
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cv::Mat pts;
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cv::goodFeaturesToTrack(src, pts, maxCorners, qualityLevel, minDistance, mask, blockSize, useHarrisDetector, k);
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@ -128,14 +186,25 @@ PERF_TEST_P(Depth, GoodFeaturesToTrack, testing::Values(CV_8U, CV_16U))
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SANITY_CHECK(0);
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}
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DEF_PARAM_TEST(Depth_GraySource, perf::MatDepth, bool);
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//////////////////////////////////////////////////////////
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// OpticalFlowPyrLKSparse
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PERF_TEST_P(Depth_GraySource, PyrLKOpticalFlowSparse, testing::Combine(testing::Values(CV_8U, CV_16U), testing::Bool()))
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typedef std::pair<std::string, std::string> string_pair;
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DEF_PARAM_TEST(ImagePair_Depth_GraySource, string_pair, perf::MatDepth, bool);
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PERF_TEST_P(ImagePair_Depth_GraySource, OpticalFlowPyrLKSparse,
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testing::Combine(
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testing::Values(string_pair("im1_1280x800.jpg", "im2_1280x800.jpg")),
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testing::Values(CV_8U, CV_16U),
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testing::Bool()
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))
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{
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declare.time(60);
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const int depth = std::tr1::get<0>(GetParam());
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const bool graySource = std::tr1::get<1>(GetParam());
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const string_pair fileNames = std::tr1::get<0>(GetParam());
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const int depth = std::tr1::get<1>(GetParam());
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const bool graySource = std::tr1::get<2>(GetParam());
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// PyrLK params
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const cv::Size winSize(15, 15);
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@ -150,16 +219,13 @@ PERF_TEST_P(Depth_GraySource, PyrLKOpticalFlowSparse, testing::Combine(testing::
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const bool useHarrisDetector = true;
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const double k = 0.05;
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const std::string fileName1 = "im1_1280x800.jpg";
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const std::string fileName2 = "im2_1280x800.jpg";
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cv::Mat src1 = cv::imread(fileName1, graySource ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
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cv::Mat src1 = cv::imread(fileNames.first, graySource ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
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if (src1.empty())
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FAIL() << "Unable to load source image [" << fileName1 << "]";
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FAIL() << "Unable to load source image [" << fileNames.first << "]";
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cv::Mat src2 = cv::imread(fileName2, graySource ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
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cv::Mat src2 = cv::imread(fileNames.second, graySource ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
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if (src2.empty())
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FAIL() << "Unable to load source image [" << fileName2 << "]";
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FAIL() << "Unable to load source image [" << fileNames.second << "]";
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cv::Mat gray_src;
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if (graySource)
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@ -199,6 +265,9 @@ PERF_TEST_P(Depth_GraySource, PyrLKOpticalFlowSparse, testing::Combine(testing::
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}
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else
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{
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if (depth != CV_8U)
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FAIL() << "Unsupported depth";
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cv::Mat nextPts;
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cv::Mat status;
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@ -213,13 +282,21 @@ PERF_TEST_P(Depth_GraySource, PyrLKOpticalFlowSparse, testing::Combine(testing::
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SANITY_CHECK(0);
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}
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DEF_PARAM_TEST_1(Depth, perf::MatDepth);
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//////////////////////////////////////////////////////////
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// OpticalFlowFarneback
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PERF_TEST_P(Depth, FarnebackOpticalFlow, testing::Values(CV_8U, CV_16U))
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DEF_PARAM_TEST(ImagePair_Depth, string_pair, perf::MatDepth);
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PERF_TEST_P(ImagePair_Depth, OpticalFlowFarneback,
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testing::Combine(
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testing::Values(string_pair("im1_1280x800.jpg", "im2_1280x800.jpg")),
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testing::Values(CV_8U, CV_16U)
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))
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{
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declare.time(60);
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declare.time(500);
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const int depth = GetParam();
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const string_pair fileNames = std::tr1::get<0>(GetParam());
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const int depth = std::tr1::get<1>(GetParam());
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const double pyrScale = 0.5;
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const int numLevels = 6;
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@ -229,16 +306,13 @@ PERF_TEST_P(Depth, FarnebackOpticalFlow, testing::Values(CV_8U, CV_16U))
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const double polySigma = 1.5;
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const int flags = cv::OPTFLOW_USE_INITIAL_FLOW;
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const std::string fileName1 = "im1_1280x800.jpg";
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const std::string fileName2 = "im2_1280x800.jpg";
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cv::Mat src1 = cv::imread(fileName1, cv::IMREAD_GRAYSCALE);
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cv::Mat src1 = cv::imread(fileNames.first, cv::IMREAD_GRAYSCALE);
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if (src1.empty())
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FAIL() << "Unable to load source image [" << fileName1 << "]";
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FAIL() << "Unable to load source image [" << fileNames.first << "]";
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cv::Mat src2 = cv::imread(fileName2, cv::IMREAD_GRAYSCALE);
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cv::Mat src2 = cv::imread(fileNames.second, cv::IMREAD_GRAYSCALE);
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if (src2.empty())
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FAIL() << "Unable to load source image [" << fileName2 << "]";
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FAIL() << "Unable to load source image [" << fileNames.second << "]";
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if (depth != CV_8U)
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{
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@ -264,18 +338,21 @@ PERF_TEST_P(Depth, FarnebackOpticalFlow, testing::Values(CV_8U, CV_16U))
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d_farneback(d_src1, d_src2, d_u, d_v);
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TEST_CYCLE()
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TEST_CYCLE_N(10)
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{
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d_farneback(d_src1, d_src2, d_u, d_v);
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}
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}
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else
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{
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if (depth != CV_8U)
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FAIL() << "Unsupported depth";
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cv::Mat flow(src1.size(), CV_32FC2, cv::Scalar::all(0));
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cv::calcOpticalFlowFarneback(src1, src2, flow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags);
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TEST_CYCLE()
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TEST_CYCLE_N(10)
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{
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cv::calcOpticalFlowFarneback(src1, src2, flow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags);
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}
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@ -283,3 +360,77 @@ PERF_TEST_P(Depth, FarnebackOpticalFlow, testing::Values(CV_8U, CV_16U))
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SANITY_CHECK(0);
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}
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//////////////////////////////////////////////////////////
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// OpticalFlowBM
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void calcOpticalFlowBM(const cv::Mat& prev, const cv::Mat& curr,
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cv::Size bSize, cv::Size shiftSize, cv::Size maxRange, int usePrevious,
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cv::Mat& velx, cv::Mat& vely)
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{
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cv::Size sz((curr.cols - bSize.width + shiftSize.width)/shiftSize.width, (curr.rows - bSize.height + shiftSize.height)/shiftSize.height);
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velx.create(sz, CV_32FC1);
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vely.create(sz, CV_32FC1);
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CvMat cvprev = prev;
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CvMat cvcurr = curr;
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CvMat cvvelx = velx;
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CvMat cvvely = vely;
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cvCalcOpticalFlowBM(&cvprev, &cvcurr, bSize, shiftSize, maxRange, usePrevious, &cvvelx, &cvvely);
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}
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DEF_PARAM_TEST(ImagePair_BlockSize_ShiftSize_MaxRange, string_pair, cv::Size, cv::Size, cv::Size);
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PERF_TEST_P(ImagePair_BlockSize_ShiftSize_MaxRange, OpticalFlowBM,
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testing::Combine(
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testing::Values(string_pair("im1_1280x800.jpg", "im2_1280x800.jpg")),
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testing::Values(cv::Size(16, 16)),
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testing::Values(cv::Size(2, 2)),
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testing::Values(cv::Size(16, 16))
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))
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{
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declare.time(1000);
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const string_pair fileNames = std::tr1::get<0>(GetParam());
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const cv::Size block_size = std::tr1::get<1>(GetParam());
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const cv::Size shift_size = std::tr1::get<2>(GetParam());
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const cv::Size max_range = std::tr1::get<3>(GetParam());
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cv::Mat src1 = cv::imread(fileNames.first, cv::IMREAD_GRAYSCALE);
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if (src1.empty())
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FAIL() << "Unable to load source image [" << fileNames.first << "]";
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cv::Mat src2 = cv::imread(fileNames.second, cv::IMREAD_GRAYSCALE);
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if (src2.empty())
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FAIL() << "Unable to load source image [" << fileNames.second << "]";
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if (PERF_RUN_GPU())
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{
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cv::gpu::GpuMat d_src1(src1);
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cv::gpu::GpuMat d_src2(src2);
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cv::gpu::GpuMat d_velx, d_vely, buf;
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cv::gpu::calcOpticalFlowBM(d_src1, d_src2, block_size, shift_size, max_range, false, d_velx, d_vely, buf);
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TEST_CYCLE_N(10)
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{
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cv::gpu::calcOpticalFlowBM(d_src1, d_src2, block_size, shift_size, max_range, false, d_velx, d_vely, buf);
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}
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}
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else
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{
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cv::Mat velx, vely;
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calcOpticalFlowBM(src1, src2, block_size, shift_size, max_range, false, velx, vely);
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TEST_CYCLE_N(10)
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{
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calcOpticalFlowBM(src1, src2, block_size, shift_size, max_range, false, velx, vely);
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}
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}
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SANITY_CHECK(0);
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}
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