--- /dev/null
+#include <cstdio>
+#ifdef HAVE_CVCONFIG_H
+#include "cvconfig.h"
+#endif
+#include "opencv2/core/core.hpp"
+#include "opencv2/gpu/gpu.hpp"
+#include "opencv2/highgui/highgui.hpp"
+#include "opencv2/video/video.hpp"
+#include "opencv2/legacy/legacy.hpp"
+#include "opencv2/ts/ts.hpp"
+#include "opencv2/ts/ts_perf.hpp"
+
+static void printOsInfo()
+{
+#if defined _WIN32
+# if defined _WIN64
+ printf("[----------]\n[ GPU INFO ] \tRun on OS Windows x64.\n[----------]\n"); fflush(stdout);
+# else
+ printf("[----------]\n[ GPU INFO ] \tRun on OS Windows x32.\n[----------]\n"); fflush(stdout);
+# endif
+#elif defined linux
+# if defined _LP64
+ printf("[----------]\n[ GPU INFO ] \tRun on OS Linux x64.\n[----------]\n"); fflush(stdout);
+# else
+ printf("[----------]\n[ GPU INFO ] \tRun on OS Linux x32.\n[----------]\n"); fflush(stdout);
+# endif
+#elif defined __APPLE__
+# if defined _LP64
+ printf("[----------]\n[ GPU INFO ] \tRun on OS Apple x64.\n[----------]\n"); fflush(stdout);
+# else
+ printf("[----------]\n[ GPU INFO ] \tRun on OS Apple x32.\n[----------]\n"); fflush(stdout);
+# endif
+#endif
+}
+
+static void printCudaInfo()
+{
+ const int deviceCount = cv::gpu::getCudaEnabledDeviceCount();
+
+ printf("[----------]\n"); fflush(stdout);
+ printf("[ GPU INFO ] \tCUDA device count:: %d.\n", deviceCount); fflush(stdout);
+ printf("[----------]\n"); fflush(stdout);
+
+ for (int i = 0; i < deviceCount; ++i)
+ {
+ cv::gpu::DeviceInfo info(i);
+
+ printf("[----------]\n"); fflush(stdout);
+ printf("[ DEVICE ] \t# %d %s.\n", i, info.name().c_str()); fflush(stdout);
+ printf("[ ] \tCompute capability: %d.%d\n", info.majorVersion(), info.minorVersion()); fflush(stdout);
+ printf("[ ] \tMulti Processor Count: %d\n", info.multiProcessorCount()); fflush(stdout);
+ printf("[ ] \tTotal memory: %d Mb\n", static_cast<int>(static_cast<int>(info.totalMemory() / 1024.0) / 1024.0)); fflush(stdout);
+ printf("[ ] \tFree memory: %d Mb\n", static_cast<int>(static_cast<int>(info.freeMemory() / 1024.0) / 1024.0)); fflush(stdout);
+ if (!info.isCompatible())
+ printf("[ GPU INFO ] \tThis device is NOT compatible with current GPU module build\n");
+ printf("[----------]\n"); fflush(stdout);
+ }
+}
+
+int main(int argc, char* argv[])
+{
+ printOsInfo();
+ printCudaInfo();
+
+ perf::Regression::Init("nv_perf_test");
+ perf::TestBase::Init(argc, argv);
+ testing::InitGoogleTest(&argc, argv);
+
+ return RUN_ALL_TESTS();
+}
+
+#define DEF_PARAM_TEST(name, ...) typedef ::perf::TestBaseWithParam< std::tr1::tuple< __VA_ARGS__ > > name
+#define DEF_PARAM_TEST_1(name, param_type) typedef ::perf::TestBaseWithParam< param_type > name
+
+//////////////////////////////////////////////////////////
+// HoughLinesP
+
+DEF_PARAM_TEST_1(Image, std::string);
+
+PERF_TEST_P(Image, HoughLinesP, testing::Values(std::string("im1_1280x800.jpg")))
+{
+ declare.time(30.0);
+
+ std::string fileName = GetParam();
+
+ const float rho = 1.f;
+ const float theta = 1.f;
+ const int threshold = 40;
+ const int minLineLenght = 20;
+ const int maxLineGap = 5;
+
+ cv::Mat image = cv::imread(fileName, cv::IMREAD_GRAYSCALE);
+
+ if (PERF_RUN_GPU())
+ {
+ cv::gpu::GpuMat d_image(image);
+ cv::gpu::GpuMat d_lines;
+ cv::gpu::HoughLinesBuf d_buf;
+
+ cv::gpu::HoughLinesP(d_image, d_lines, d_buf, rho, theta, minLineLenght, maxLineGap);
+
+ TEST_CYCLE()
+ {
+ cv::gpu::HoughLinesP(d_image, d_lines, d_buf, rho, theta, minLineLenght, maxLineGap);
+ }
+ }
+ else
+ {
+ cv::Mat mask;
+ cv::Canny(image, mask, 50, 100);
+
+ std::vector<cv::Vec4i> lines;
+ cv::HoughLinesP(mask, lines, rho, theta, threshold, minLineLenght, maxLineGap);
+
+ TEST_CYCLE()
+ {
+ cv::HoughLinesP(mask, lines, rho, theta, threshold, minLineLenght, maxLineGap);
+ }
+ }
+
+ SANITY_CHECK(0);
+}
+
+//////////////////////////////////////////////////////////
+// GoodFeaturesToTrack
+
+DEF_PARAM_TEST(Image_Depth, std::string, perf::MatDepth);
+
+PERF_TEST_P(Image_Depth, GoodFeaturesToTrack,
+ testing::Combine(
+ testing::Values(std::string("im1_1280x800.jpg")),
+ testing::Values(CV_8U, CV_16U)
+ ))
+{
+ declare.time(60);
+
+ const std::string fileName = std::tr1::get<0>(GetParam());
+ const int depth = std::tr1::get<1>(GetParam());
+
+ const int maxCorners = 5000;
+ const double qualityLevel = 0.05;
+ const int minDistance = 5;
+ const int blockSize = 3;
+ const bool useHarrisDetector = true;
+ const double k = 0.05;
+
+ cv::Mat src = cv::imread(fileName, cv::IMREAD_GRAYSCALE);
+ if (src.empty())
+ FAIL() << "Unable to load source image [" << fileName << "]";
+
+ if (depth != CV_8U)
+ src.convertTo(src, depth);
+
+ cv::Mat mask(src.size(), CV_8UC1, cv::Scalar::all(1));
+ mask(cv::Rect(0, 0, 100, 100)).setTo(cv::Scalar::all(0));
+
+ if (PERF_RUN_GPU())
+ {
+ cv::gpu::GoodFeaturesToTrackDetector_GPU d_detector(maxCorners, qualityLevel, minDistance, blockSize, useHarrisDetector, k);
+
+ cv::gpu::GpuMat d_src(src);
+ cv::gpu::GpuMat d_mask(mask);
+ cv::gpu::GpuMat d_pts;
+
+ d_detector(d_src, d_pts, d_mask);
+
+ TEST_CYCLE()
+ {
+ d_detector(d_src, d_pts, d_mask);
+ }
+ }
+ else
+ {
+ if (depth != CV_8U)
+ FAIL() << "Unsupported depth";
+
+ cv::Mat pts;
+
+ cv::goodFeaturesToTrack(src, pts, maxCorners, qualityLevel, minDistance, mask, blockSize, useHarrisDetector, k);
+
+ TEST_CYCLE()
+ {
+ cv::goodFeaturesToTrack(src, pts, maxCorners, qualityLevel, minDistance, mask, blockSize, useHarrisDetector, k);
+ }
+ }
+
+ SANITY_CHECK(0);
+}
+
+//////////////////////////////////////////////////////////
+// OpticalFlowPyrLKSparse
+
+typedef std::pair<std::string, std::string> string_pair;
+
+DEF_PARAM_TEST(ImagePair_Depth_GraySource, string_pair, perf::MatDepth, bool);
+
+PERF_TEST_P(ImagePair_Depth_GraySource, OpticalFlowPyrLKSparse,
+ testing::Combine(
+ testing::Values(string_pair("im1_1280x800.jpg", "im2_1280x800.jpg")),
+ testing::Values(CV_8U, CV_16U),
+ testing::Bool()
+ ))
+{
+ declare.time(60);
+
+ const string_pair fileNames = std::tr1::get<0>(GetParam());
+ const int depth = std::tr1::get<1>(GetParam());
+ const bool graySource = std::tr1::get<2>(GetParam());
+
+ // PyrLK params
+ const cv::Size winSize(15, 15);
+ const int maxLevel = 5;
+ const cv::TermCriteria criteria(cv::TermCriteria::COUNT + cv::TermCriteria::EPS, 30, 0.01);
+
+ // GoodFeaturesToTrack params
+ const int maxCorners = 5000;
+ const double qualityLevel = 0.05;
+ const int minDistance = 5;
+ const int blockSize = 3;
+ const bool useHarrisDetector = true;
+ const double k = 0.05;
+
+ cv::Mat src1 = cv::imread(fileNames.first, graySource ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
+ if (src1.empty())
+ FAIL() << "Unable to load source image [" << fileNames.first << "]";
+
+ cv::Mat src2 = cv::imread(fileNames.second, graySource ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
+ if (src2.empty())
+ FAIL() << "Unable to load source image [" << fileNames.second << "]";
+
+ cv::Mat gray_src;
+ if (graySource)
+ gray_src = src1;
+ else
+ cv::cvtColor(src1, gray_src, cv::COLOR_BGR2GRAY);
+
+ cv::Mat pts;
+ cv::goodFeaturesToTrack(gray_src, pts, maxCorners, qualityLevel, minDistance, cv::noArray(), blockSize, useHarrisDetector, k);
+
+ if (depth != CV_8U)
+ {
+ src1.convertTo(src1, depth);
+ src2.convertTo(src2, depth);
+ }
+
+ if (PERF_RUN_GPU())
+ {
+ cv::gpu::GpuMat d_src1(src1);
+ cv::gpu::GpuMat d_src2(src2);
+ cv::gpu::GpuMat d_pts(pts.reshape(2, 1));
+ cv::gpu::GpuMat d_nextPts;
+ cv::gpu::GpuMat d_status;
+
+ cv::gpu::PyrLKOpticalFlow d_pyrLK;
+ d_pyrLK.winSize = winSize;
+ d_pyrLK.maxLevel = maxLevel;
+ d_pyrLK.iters = criteria.maxCount;
+ d_pyrLK.useInitialFlow = false;
+
+ d_pyrLK.sparse(d_src1, d_src2, d_pts, d_nextPts, d_status);
+
+ TEST_CYCLE()
+ {
+ d_pyrLK.sparse(d_src1, d_src2, d_pts, d_nextPts, d_status);
+ }
+ }
+ else
+ {
+ if (depth != CV_8U)
+ FAIL() << "Unsupported depth";
+
+ cv::Mat nextPts;
+ cv::Mat status;
+
+ cv::calcOpticalFlowPyrLK(src1, src2, pts, nextPts, status, cv::noArray(), winSize, maxLevel, criteria);
+
+ TEST_CYCLE()
+ {
+ cv::calcOpticalFlowPyrLK(src1, src2, pts, nextPts, status, cv::noArray(), winSize, maxLevel, criteria);
+ }
+ }
+
+ SANITY_CHECK(0);
+}
+
+//////////////////////////////////////////////////////////
+// OpticalFlowFarneback
+
+DEF_PARAM_TEST(ImagePair_Depth, string_pair, perf::MatDepth);
+
+PERF_TEST_P(ImagePair_Depth, OpticalFlowFarneback,
+ testing::Combine(
+ testing::Values(string_pair("im1_1280x800.jpg", "im2_1280x800.jpg")),
+ testing::Values(CV_8U, CV_16U)
+ ))
+{
+ declare.time(500);
+
+ const string_pair fileNames = std::tr1::get<0>(GetParam());
+ const int depth = std::tr1::get<1>(GetParam());
+
+ const double pyrScale = 0.5;
+ const int numLevels = 6;
+ const int winSize = 7;
+ const int numIters = 15;
+ const int polyN = 7;
+ const double polySigma = 1.5;
+ const int flags = cv::OPTFLOW_USE_INITIAL_FLOW;
+
+ cv::Mat src1 = cv::imread(fileNames.first, cv::IMREAD_GRAYSCALE);
+ if (src1.empty())
+ FAIL() << "Unable to load source image [" << fileNames.first << "]";
+
+ cv::Mat src2 = cv::imread(fileNames.second, cv::IMREAD_GRAYSCALE);
+ if (src2.empty())
+ FAIL() << "Unable to load source image [" << fileNames.second << "]";
+
+ if (depth != CV_8U)
+ {
+ src1.convertTo(src1, depth);
+ src2.convertTo(src2, depth);
+ }
+
+ if (PERF_RUN_GPU())
+ {
+ cv::gpu::GpuMat d_src1(src1);
+ cv::gpu::GpuMat d_src2(src2);
+ cv::gpu::GpuMat d_u(src1.size(), CV_32FC1, cv::Scalar::all(0));
+ cv::gpu::GpuMat d_v(src1.size(), CV_32FC1, cv::Scalar::all(0));
+
+ cv::gpu::FarnebackOpticalFlow d_farneback;
+ d_farneback.pyrScale = pyrScale;
+ d_farneback.numLevels = numLevels;
+ d_farneback.winSize = winSize;
+ d_farneback.numIters = numIters;
+ d_farneback.polyN = polyN;
+ d_farneback.polySigma = polySigma;
+ d_farneback.flags = flags;
+
+ d_farneback(d_src1, d_src2, d_u, d_v);
+
+ TEST_CYCLE_N(10)
+ {
+ d_farneback(d_src1, d_src2, d_u, d_v);
+ }
+ }
+ else
+ {
+ if (depth != CV_8U)
+ FAIL() << "Unsupported depth";
+
+ cv::Mat flow(src1.size(), CV_32FC2, cv::Scalar::all(0));
+
+ cv::calcOpticalFlowFarneback(src1, src2, flow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags);
+
+ TEST_CYCLE_N(10)
+ {
+ cv::calcOpticalFlowFarneback(src1, src2, flow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags);
+ }
+ }
+
+ SANITY_CHECK(0);
+}
+
+//////////////////////////////////////////////////////////
+// OpticalFlowBM
+
+void calcOpticalFlowBM(const cv::Mat& prev, const cv::Mat& curr,
+ cv::Size bSize, cv::Size shiftSize, cv::Size maxRange, int usePrevious,
+ cv::Mat& velx, cv::Mat& vely)
+{
+ cv::Size sz((curr.cols - bSize.width + shiftSize.width)/shiftSize.width, (curr.rows - bSize.height + shiftSize.height)/shiftSize.height);
+
+ velx.create(sz, CV_32FC1);
+ vely.create(sz, CV_32FC1);
+
+ CvMat cvprev = prev;
+ CvMat cvcurr = curr;
+
+ CvMat cvvelx = velx;
+ CvMat cvvely = vely;
+
+ cvCalcOpticalFlowBM(&cvprev, &cvcurr, bSize, shiftSize, maxRange, usePrevious, &cvvelx, &cvvely);
+}
+
+DEF_PARAM_TEST(ImagePair_BlockSize_ShiftSize_MaxRange, string_pair, cv::Size, cv::Size, cv::Size);
+
+PERF_TEST_P(ImagePair_BlockSize_ShiftSize_MaxRange, OpticalFlowBM,
+ testing::Combine(
+ testing::Values(string_pair("im1_1280x800.jpg", "im2_1280x800.jpg")),
+ testing::Values(cv::Size(16, 16)),
+ testing::Values(cv::Size(2, 2)),
+ testing::Values(cv::Size(16, 16))
+ ))
+{
+ declare.time(3000);
+
+ const string_pair fileNames = std::tr1::get<0>(GetParam());
+ const cv::Size block_size = std::tr1::get<1>(GetParam());
+ const cv::Size shift_size = std::tr1::get<2>(GetParam());
+ const cv::Size max_range = std::tr1::get<3>(GetParam());
+
+ cv::Mat src1 = cv::imread(fileNames.first, cv::IMREAD_GRAYSCALE);
+ if (src1.empty())
+ FAIL() << "Unable to load source image [" << fileNames.first << "]";
+
+ cv::Mat src2 = cv::imread(fileNames.second, cv::IMREAD_GRAYSCALE);
+ if (src2.empty())
+ FAIL() << "Unable to load source image [" << fileNames.second << "]";
+
+ if (PERF_RUN_GPU())
+ {
+ cv::gpu::GpuMat d_src1(src1);
+ cv::gpu::GpuMat d_src2(src2);
+ cv::gpu::GpuMat d_velx, d_vely, buf;
+
+ cv::gpu::calcOpticalFlowBM(d_src1, d_src2, block_size, shift_size, max_range, false, d_velx, d_vely, buf);
+
+ TEST_CYCLE_N(10)
+ {
+ cv::gpu::calcOpticalFlowBM(d_src1, d_src2, block_size, shift_size, max_range, false, d_velx, d_vely, buf);
+ }
+ }
+ else
+ {
+ cv::Mat velx, vely;
+
+ calcOpticalFlowBM(src1, src2, block_size, shift_size, max_range, false, velx, vely);
+
+ TEST_CYCLE_N(10)
+ {
+ calcOpticalFlowBM(src1, src2, block_size, shift_size, max_range, false, velx, vely);
+ }
+ }
+
+ SANITY_CHECK(0);
+}
+
+PERF_TEST_P(ImagePair_BlockSize_ShiftSize_MaxRange, FastOpticalFlowBM,
+ testing::Combine(
+ testing::Values(string_pair("im1_1280x800.jpg", "im2_1280x800.jpg")),
+ testing::Values(cv::Size(16, 16)),
+ testing::Values(cv::Size(1, 1)),
+ testing::Values(cv::Size(16, 16))
+ ))
+{
+ declare.time(3000);
+
+ const string_pair fileNames = std::tr1::get<0>(GetParam());
+ const cv::Size block_size = std::tr1::get<1>(GetParam());
+ const cv::Size shift_size = std::tr1::get<2>(GetParam());
+ const cv::Size max_range = std::tr1::get<3>(GetParam());
+
+ cv::Mat src1 = cv::imread(fileNames.first, cv::IMREAD_GRAYSCALE);
+ if (src1.empty())
+ FAIL() << "Unable to load source image [" << fileNames.first << "]";
+
+ cv::Mat src2 = cv::imread(fileNames.second, cv::IMREAD_GRAYSCALE);
+ if (src2.empty())
+ FAIL() << "Unable to load source image [" << fileNames.second << "]";
+
+ if (PERF_RUN_GPU())
+ {
+ cv::gpu::GpuMat d_src1(src1);
+ cv::gpu::GpuMat d_src2(src2);
+ cv::gpu::GpuMat d_velx, d_vely;
+
+ cv::gpu::FastOpticalFlowBM fastBM;
+
+ fastBM(d_src1, d_src2, d_velx, d_vely, max_range.width, block_size.width);
+
+ TEST_CYCLE_N(10)
+ {
+ fastBM(d_src1, d_src2, d_velx, d_vely, max_range.width, block_size.width);
+ }
+ }
+ else
+ {
+ cv::Mat velx, vely;
+
+ calcOpticalFlowBM(src1, src2, block_size, shift_size, max_range, false, velx, vely);
+
+ TEST_CYCLE_N(10)
+ {
+ calcOpticalFlowBM(src1, src2, block_size, shift_size, max_range, false, velx, vely);
+ }
+ }
+
+ SANITY_CHECK(0);
+}
projects / platform / upstream / opencv.git / commitdiff
