--- /dev/null
+#include <cstdio>
+#define HAVE_CUDA 1
+#include <opencv2/core/core.hpp>
+#include <opencv2/gpu/gpu.hpp>
+#include <opencv2/highgui/highgui.hpp>
+#include <opencv2/video/video.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();
+}
+
+//////////////////////////////////////////////////////////
+// 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
+
+DEF_PARAM_TEST_1(Depth, perf::MatDepth);
+
+PERF_TEST_P(Depth, GoodFeaturesToTrack, testing::Values(CV_8U, CV_16U))
+{
+ declare.time(60);
+
+ const int depth = 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;
+
+ const std::string fileName = "im1_1280x800.jpg";
+
+ 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
+ {
+ 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);
+}
+
+DEF_PARAM_TEST(Depth_GraySource, perf::MatDepth, bool);
+
+PERF_TEST_P(Depth_GraySource, PyrLKOpticalFlowSparse, testing::Combine(testing::Values(CV_8U, CV_16U), testing::Bool()))
+{
+ declare.time(60);
+
+ const int depth = std::tr1::get<0>(GetParam());
+ const bool graySource = std::tr1::get<1>(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;
+
+ const std::string fileName1 = "im1_1280x800.jpg";
+ const std::string fileName2 = "im2_1280x800.jpg";
+
+ cv::Mat src1 = cv::imread(fileName1, graySource ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
+ if (src1.empty())
+ FAIL() << "Unable to load source image [" << fileName1 << "]";
+
+ cv::Mat src2 = cv::imread(fileName2, graySource ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
+ if (src2.empty())
+ FAIL() << "Unable to load source image [" << fileName2 << "]";
+
+ 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
+ {
+ 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);
+}
+
+DEF_PARAM_TEST_1(Depth, perf::MatDepth);
+
+PERF_TEST_P(Depth, FarnebackOpticalFlow, testing::Values(CV_8U, CV_16U))
+{
+ declare.time(60);
+
+ const int depth = 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;
+
+ const std::string fileName1 = "im1_1280x800.jpg";
+ const std::string fileName2 = "im2_1280x800.jpg";
+
+ cv::Mat src1 = cv::imread(fileName1, cv::IMREAD_GRAYSCALE);
+ if (src1.empty())
+ FAIL() << "Unable to load source image [" << fileName1 << "]";
+
+ cv::Mat src2 = cv::imread(fileName2, cv::IMREAD_GRAYSCALE);
+ if (src2.empty())
+ FAIL() << "Unable to load source image [" << fileName2 << "]";
+
+ 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()
+ {
+ d_farneback(d_src1, d_src2, d_u, d_v);
+ }
+ }
+ else
+ {
+ 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()
+ {
+ cv::calcOpticalFlowFarneback(src1, src2, flow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags);
+ }
+ }
+
+ SANITY_CHECK(0);
+}
projects / profile / ivi / opencv.git / commitdiff
