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https://github.com/opencv/opencv.git
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489 lines
15 KiB
C++
489 lines
15 KiB
C++
#include <cstdio>
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#define HAVE_CUDA 1
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#include <opencv2/core/core.hpp>
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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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static void printOsInfo()
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{
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#if defined _WIN32
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# if defined _WIN64
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printf("[----------]\n[ GPU INFO ] \tRun on OS Windows x64.\n[----------]\n"); fflush(stdout);
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# else
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printf("[----------]\n[ GPU INFO ] \tRun on OS Windows x32.\n[----------]\n"); fflush(stdout);
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# endif
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#elif defined linux
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# if defined _LP64
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printf("[----------]\n[ GPU INFO ] \tRun on OS Linux x64.\n[----------]\n"); fflush(stdout);
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# else
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printf("[----------]\n[ GPU INFO ] \tRun on OS Linux x32.\n[----------]\n"); fflush(stdout);
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# endif
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#elif defined __APPLE__
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# if defined _LP64
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printf("[----------]\n[ GPU INFO ] \tRun on OS Apple x64.\n[----------]\n"); fflush(stdout);
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# else
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printf("[----------]\n[ GPU INFO ] \tRun on OS Apple x32.\n[----------]\n"); fflush(stdout);
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# endif
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#endif
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}
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static void printCudaInfo()
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{
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const int deviceCount = cv::gpu::getCudaEnabledDeviceCount();
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printf("[----------]\n"); fflush(stdout);
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printf("[ GPU INFO ] \tCUDA device count:: %d.\n", deviceCount); fflush(stdout);
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printf("[----------]\n"); fflush(stdout);
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for (int i = 0; i < deviceCount; ++i)
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{
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cv::gpu::DeviceInfo info(i);
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printf("[----------]\n"); fflush(stdout);
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printf("[ DEVICE ] \t# %d %s.\n", i, info.name().c_str()); fflush(stdout);
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printf("[ ] \tCompute capability: %d.%d\n", info.majorVersion(), info.minorVersion()); fflush(stdout);
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printf("[ ] \tMulti Processor Count: %d\n", info.multiProcessorCount()); fflush(stdout);
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printf("[ ] \tTotal memory: %d Mb\n", static_cast<int>(static_cast<int>(info.totalMemory() / 1024.0) / 1024.0)); fflush(stdout);
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printf("[ ] \tFree memory: %d Mb\n", static_cast<int>(static_cast<int>(info.freeMemory() / 1024.0) / 1024.0)); fflush(stdout);
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if (!info.isCompatible())
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printf("[ GPU INFO ] \tThis device is NOT compatible with current GPU module build\n");
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printf("[----------]\n"); fflush(stdout);
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}
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}
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int main(int argc, char* argv[])
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{
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printOsInfo();
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printCudaInfo();
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perf::Regression::Init("nv_perf_test");
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perf::TestBase::Init(argc, argv);
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testing::InitGoogleTest(&argc, argv);
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return RUN_ALL_TESTS();
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}
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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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//////////////////////////////////////////////////////////
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// HoughLinesP
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DEF_PARAM_TEST_1(Image, std::string);
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GPU_PERF_TEST_P(Image, HoughLinesP, 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 float rho = 1.f;
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const float theta = 1.f;
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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::HoughLinesBuf d_buf;
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cv::gpu::HoughLinesP(d_image, d_lines, d_buf, rho, theta, 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, rho, theta, 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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GPU_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 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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const int blockSize = 3;
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const bool useHarrisDetector = true;
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const double k = 0.05;
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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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if (depth != CV_8U)
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src.convertTo(src, depth);
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cv::Mat mask(src.size(), CV_8UC1, cv::Scalar::all(1));
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mask(cv::Rect(0, 0, 100, 100)).setTo(cv::Scalar::all(0));
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if (PERF_RUN_GPU())
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{
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cv::gpu::GoodFeaturesToTrackDetector_GPU d_detector(maxCorners, qualityLevel, minDistance, blockSize, useHarrisDetector, k);
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cv::gpu::GpuMat d_src(src);
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cv::gpu::GpuMat d_mask(mask);
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cv::gpu::GpuMat d_pts;
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d_detector(d_src, d_pts, d_mask);
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TEST_CYCLE()
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{
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d_detector(d_src, d_pts, d_mask);
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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 pts;
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cv::goodFeaturesToTrack(src, pts, maxCorners, qualityLevel, minDistance, mask, blockSize, useHarrisDetector, k);
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TEST_CYCLE()
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{
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cv::goodFeaturesToTrack(src, pts, maxCorners, qualityLevel, minDistance, mask, blockSize, useHarrisDetector, k);
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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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// OpticalFlowPyrLKSparse
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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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GPU_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 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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const int maxLevel = 5;
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const cv::TermCriteria criteria(cv::TermCriteria::COUNT + cv::TermCriteria::EPS, 30, 0.01);
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// GoodFeaturesToTrack params
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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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const int blockSize = 3;
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const bool useHarrisDetector = true;
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const double k = 0.05;
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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 [" << fileNames.first << "]";
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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 [" << fileNames.second << "]";
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cv::Mat gray_src;
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if (graySource)
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gray_src = src1;
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else
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cv::cvtColor(src1, gray_src, cv::COLOR_BGR2GRAY);
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cv::Mat pts;
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cv::goodFeaturesToTrack(gray_src, pts, maxCorners, qualityLevel, minDistance, cv::noArray(), blockSize, useHarrisDetector, k);
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if (depth != CV_8U)
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{
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src1.convertTo(src1, depth);
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src2.convertTo(src2, depth);
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}
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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_pts(pts.reshape(2, 1));
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cv::gpu::GpuMat d_nextPts;
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cv::gpu::GpuMat d_status;
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cv::gpu::PyrLKOpticalFlow d_pyrLK;
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d_pyrLK.winSize = winSize;
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d_pyrLK.maxLevel = maxLevel;
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d_pyrLK.iters = criteria.maxCount;
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d_pyrLK.useInitialFlow = false;
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d_pyrLK.sparse(d_src1, d_src2, d_pts, d_nextPts, d_status);
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TEST_CYCLE()
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{
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d_pyrLK.sparse(d_src1, d_src2, d_pts, d_nextPts, d_status);
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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 nextPts;
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cv::Mat status;
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cv::calcOpticalFlowPyrLK(src1, src2, pts, nextPts, status, cv::noArray(), winSize, maxLevel, criteria);
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TEST_CYCLE()
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{
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cv::calcOpticalFlowPyrLK(src1, src2, pts, nextPts, status, cv::noArray(), winSize, maxLevel, criteria);
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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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// OpticalFlowFarneback
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DEF_PARAM_TEST(ImagePair_Depth, string_pair, perf::MatDepth);
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GPU_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(500);
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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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const int winSize = 7;
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const int numIters = 15;
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const int polyN = 7;
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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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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 (depth != CV_8U)
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{
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src1.convertTo(src1, depth);
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src2.convertTo(src2, depth);
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}
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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_u(src1.size(), CV_32FC1, cv::Scalar::all(0));
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cv::gpu::GpuMat d_v(src1.size(), CV_32FC1, cv::Scalar::all(0));
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cv::gpu::FarnebackOpticalFlow d_farneback;
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d_farneback.pyrScale = pyrScale;
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d_farneback.numLevels = numLevels;
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d_farneback.winSize = winSize;
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d_farneback.numIters = numIters;
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d_farneback.polyN = polyN;
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d_farneback.polySigma = polySigma;
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d_farneback.flags = flags;
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d_farneback(d_src1, d_src2, d_u, d_v);
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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_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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}
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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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GPU_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(3000);
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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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GPU_PERF_TEST_P(ImagePair_BlockSize_ShiftSize_MaxRange, FastOpticalFlowBM,
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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(1, 1)),
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testing::Values(cv::Size(16, 16))
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))
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{
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declare.time(3000);
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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;
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cv::gpu::FastOpticalFlowBM fastBM;
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fastBM(d_src1, d_src2, d_velx, d_vely, max_range.width, block_size.width);
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TEST_CYCLE_N(10)
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|
{
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|
fastBM(d_src1, d_src2, d_velx, d_vely, max_range.width, block_size.width);
|
|
}
|
|
}
|
|
else
|
|
{
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|
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);
|
|
}
|