270 lines
9.4 KiB
C++
270 lines
9.4 KiB
C++
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#include "perf_precomp.hpp"
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namespace opencv_test { namespace {
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using namespace perf;
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typedef tuple<std::string, int, int, tuple<int,int>, int> Path_Idx_Cn_NPoints_WSize_t;
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typedef TestBaseWithParam<Path_Idx_Cn_NPoints_WSize_t> Path_Idx_Cn_NPoints_WSize;
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void FormTrackingPointsArray(vector<Point2f>& points, int width, int height, int nPointsX, int nPointsY)
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{
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int stepX = width / nPointsX;
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int stepY = height / nPointsY;
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if (stepX < 1 || stepY < 1) FAIL() << "Specified points number is too big";
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points.clear();
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points.reserve(nPointsX * nPointsY);
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for( int x = stepX / 2; x < width; x += stepX )
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{
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for( int y = stepY / 2; y < height; y += stepY )
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{
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Point2f pt(static_cast<float>(x), static_cast<float>(y));
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points.push_back(pt);
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}
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}
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}
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PERF_TEST_P(Path_Idx_Cn_NPoints_WSize, OpticalFlowPyrLK_full, testing::Combine(
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testing::Values<std::string>("cv/optflow/frames/VGA_%02d.png", "cv/optflow/frames/720p_%02d.png"),
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testing::Range(1, 3),
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testing::Values(1, 3, 4),
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testing::Values(make_tuple(9, 9), make_tuple(15, 15)),
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testing::Values(7, 11)
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)
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)
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{
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string filename1 = getDataPath(cv::format(get<0>(GetParam()).c_str(), get<1>(GetParam())));
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string filename2 = getDataPath(cv::format(get<0>(GetParam()).c_str(), get<1>(GetParam()) + 1));
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Mat img1 = imread(filename1);
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Mat img2 = imread(filename2);
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if (img1.empty()) FAIL() << "Unable to load source image " << filename1;
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if (img2.empty()) FAIL() << "Unable to load source image " << filename2;
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int cn = get<2>(GetParam());
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int nPointsX = std::min(get<0>(get<3>(GetParam())), img1.cols);
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int nPointsY = std::min(get<1>(get<3>(GetParam())), img1.rows);
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int winSize = get<4>(GetParam());
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int maxLevel = 2;
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TermCriteria criteria(TermCriteria::COUNT|TermCriteria::EPS, 7, 0.001);
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int flags = 0;
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double minEigThreshold = 1e-4;
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Mat frame1, frame2;
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switch(cn)
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{
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case 1:
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cvtColor(img1, frame1, COLOR_BGR2GRAY, cn);
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cvtColor(img2, frame2, COLOR_BGR2GRAY, cn);
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break;
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case 3:
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frame1 = img1;
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frame2 = img2;
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break;
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case 4:
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cvtColor(img1, frame1, COLOR_BGR2BGRA, cn);
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cvtColor(img2, frame2, COLOR_BGR2BGRA, cn);
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break;
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default:
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FAIL() << "Unexpected number of channels: " << cn;
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}
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vector<Point2f> inPoints;
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vector<Point2f> outPoints;
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vector<uchar> status;
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vector<float> err;
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FormTrackingPointsArray(inPoints, frame1.cols, frame1.rows, nPointsX, nPointsY);
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outPoints.resize(inPoints.size());
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status.resize(inPoints.size());
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err.resize(inPoints.size());
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declare.in(frame1, frame2, inPoints).out(outPoints);
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TEST_CYCLE_N(30)
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{
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calcOpticalFlowPyrLK(frame1, frame2, inPoints, outPoints, status, err,
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Size(winSize, winSize), maxLevel, criteria,
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flags, minEigThreshold);
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}
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SANITY_CHECK_NOTHING();
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}
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typedef tuple<std::string, int, tuple<int, int>, int> Path_Idx_NPoints_WSize_t;
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typedef TestBaseWithParam<Path_Idx_NPoints_WSize_t> Path_Idx_NPoints_WSize;
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PERF_TEST_P(Path_Idx_NPoints_WSize, DISABLED_OpticalFlowPyrLK_ovx, testing::Combine(
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testing::Values<std::string>("cv/optflow/frames/VGA_%02d.png", "cv/optflow/frames/720p_%02d.png"),
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testing::Range(1, 3),
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testing::Values(make_tuple(9, 9), make_tuple(15, 15)),
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testing::Values(7, 11)
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)
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)
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{
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string filename1 = getDataPath(cv::format(get<0>(GetParam()).c_str(), get<1>(GetParam())));
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string filename2 = getDataPath(cv::format(get<0>(GetParam()).c_str(), get<1>(GetParam()) + 1));
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Mat img1 = imread(filename1);
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Mat img2 = imread(filename2);
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if (img1.empty()) FAIL() << "Unable to load source image " << filename1;
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if (img2.empty()) FAIL() << "Unable to load source image " << filename2;
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int nPointsX = std::min(get<0>(get<2>(GetParam())), img1.cols);
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int nPointsY = std::min(get<1>(get<2>(GetParam())), img1.rows);
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int winSize = get<3>(GetParam());
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int maxLevel = 2;
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TermCriteria criteria(TermCriteria::COUNT|TermCriteria::EPS, 7, 0.001);
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int flags = 0;
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double minEigThreshold = 1e-4;
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Mat frame1, frame2;
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cvtColor(img1, frame1, COLOR_BGR2GRAY, 1);
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cvtColor(img2, frame2, COLOR_BGR2GRAY, 1);
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vector<Point2f> inPoints;
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vector<Point2f> outPoints;
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vector<uchar> status;
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FormTrackingPointsArray(inPoints, frame1.cols, frame1.rows, nPointsX, nPointsY);
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outPoints.resize(inPoints.size());
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status.resize(inPoints.size());
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declare.in(frame1, frame2, inPoints).out(outPoints);
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TEST_CYCLE_N(30)
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{
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calcOpticalFlowPyrLK(frame1, frame2, inPoints, outPoints, status, cv::noArray(),
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Size(winSize, winSize), maxLevel, criteria,
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flags, minEigThreshold);
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}
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SANITY_CHECK_NOTHING();
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}
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typedef tuple<std::string, int, int, tuple<int,int>, int, bool> Path_Idx_Cn_NPoints_WSize_Deriv_t;
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typedef TestBaseWithParam<Path_Idx_Cn_NPoints_WSize_Deriv_t> Path_Idx_Cn_NPoints_WSize_Deriv;
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PERF_TEST_P(Path_Idx_Cn_NPoints_WSize_Deriv, OpticalFlowPyrLK_self, testing::Combine(
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testing::Values<std::string>("cv/optflow/frames/VGA_%02d.png", "cv/optflow/frames/720p_%02d.png"),
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testing::Range(1, 3),
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testing::Values(1, 3, 4),
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testing::Values(make_tuple(9, 9), make_tuple(15, 15)),
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testing::Values(7, 11),
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testing::Bool()
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)
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)
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{
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string filename1 = getDataPath(cv::format(get<0>(GetParam()).c_str(), get<1>(GetParam())));
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string filename2 = getDataPath(cv::format(get<0>(GetParam()).c_str(), get<1>(GetParam()) + 1));
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Mat img1 = imread(filename1);
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Mat img2 = imread(filename2);
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if (img1.empty()) FAIL() << "Unable to load source image " << filename1;
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if (img2.empty()) FAIL() << "Unable to load source image " << filename2;
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int cn = get<2>(GetParam());
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int nPointsX = std::min(get<0>(get<3>(GetParam())), img1.cols);
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int nPointsY = std::min(get<1>(get<3>(GetParam())), img1.rows);
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int winSize = get<4>(GetParam());
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bool withDerivatives = get<5>(GetParam());
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int maxLevel = 2;
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TermCriteria criteria(TermCriteria::COUNT|TermCriteria::EPS, 7, 0.001);
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int flags = 0;
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double minEigThreshold = 1e-4;
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Mat frame1, frame2;
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switch(cn)
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{
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case 1:
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cvtColor(img1, frame1, COLOR_BGR2GRAY, cn);
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cvtColor(img2, frame2, COLOR_BGR2GRAY, cn);
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break;
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case 3:
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frame1 = img1;
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frame2 = img2;
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break;
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case 4:
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cvtColor(img1, frame1, COLOR_BGR2BGRA, cn);
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cvtColor(img2, frame2, COLOR_BGR2BGRA, cn);
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break;
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default:
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FAIL() << "Unexpected number of channels: " << cn;
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}
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vector<Point2f> inPoints;
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vector<Point2f> outPoints;
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vector<uchar> status;
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vector<float> err;
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FormTrackingPointsArray(inPoints, frame1.cols, frame1.rows, nPointsX, nPointsY);
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outPoints.resize(inPoints.size());
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status.resize(inPoints.size());
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err.resize(inPoints.size());
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std::vector<Mat> pyramid1, pyramid2;
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maxLevel = buildOpticalFlowPyramid(frame1, pyramid1, Size(winSize, winSize), maxLevel, withDerivatives);
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maxLevel = buildOpticalFlowPyramid(frame2, pyramid2, Size(winSize, winSize), maxLevel, withDerivatives);
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declare.in(pyramid1, pyramid2, inPoints).out(outPoints);
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declare.time(400);
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int runs = 3;
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TEST_CYCLE_MULTIRUN(runs)
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{
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calcOpticalFlowPyrLK(pyramid1, pyramid2, inPoints, outPoints, status, err,
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Size(winSize, winSize), maxLevel, criteria,
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flags, minEigThreshold);
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}
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SANITY_CHECK_NOTHING();
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}
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CV_ENUM(PyrBorderMode, BORDER_DEFAULT, BORDER_TRANSPARENT)
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typedef tuple<std::string, int, bool, PyrBorderMode, bool> Path_Win_Deriv_Border_Reuse_t;
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typedef TestBaseWithParam<Path_Win_Deriv_Border_Reuse_t> Path_Win_Deriv_Border_Reuse;
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PERF_TEST_P(Path_Win_Deriv_Border_Reuse, OpticalFlowPyrLK_pyr, testing::Combine(
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testing::Values<std::string>("cv/optflow/frames/720p_01.png"),
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testing::Values(7, 11),
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testing::Bool(),
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PyrBorderMode::all(),
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testing::Bool()
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)
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)
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{
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string filename = getDataPath(get<0>(GetParam()));
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Mat img = imread(filename);
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Size winSize(get<1>(GetParam()), get<1>(GetParam()));
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bool withDerivatives = get<2>(GetParam());
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int derivBorder = get<3>(GetParam());
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int pyrBorder = derivBorder;
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if(derivBorder != BORDER_TRANSPARENT)
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{
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derivBorder = BORDER_CONSTANT;
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pyrBorder = BORDER_REFLECT_101;
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}
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bool tryReuseInputImage = get<4>(GetParam());
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std::vector<Mat> pyramid;
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img.adjustROI(winSize.height, winSize.height, winSize.width, winSize.width);
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int maxLevel = buildOpticalFlowPyramid(img, pyramid, winSize, 1000, withDerivatives, BORDER_CONSTANT, BORDER_CONSTANT, tryReuseInputImage);
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declare.in(img).out(pyramid);
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TEST_CYCLE()
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{
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buildOpticalFlowPyramid(img, pyramid, winSize, maxLevel, withDerivatives, pyrBorder, derivBorder, tryReuseInputImage);
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}
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size_t expected_layers = ((size_t)maxLevel + 1) * (withDerivatives ? 2 : 1);
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ASSERT_EQ(expected_layers, pyramid.size());
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SANITY_CHECK_NOTHING();
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}
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}} // namespace
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