120 lines
3.0 KiB
C++
120 lines
3.0 KiB
C++
#include "perf_precomp.hpp"
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#include "opencv2/ts/ocl_perf.hpp"
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#ifdef HAVE_OPENCL
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#if defined(HAVE_XINE) || \
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defined(HAVE_GSTREAMER) || \
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defined(HAVE_QUICKTIME) || \
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defined(HAVE_AVFOUNDATION) || \
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defined(HAVE_FFMPEG) || \
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defined(WIN32)
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# define BUILD_WITH_VIDEO_INPUT_SUPPORT 1
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#else
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# define BUILD_WITH_VIDEO_INPUT_SUPPORT 0
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#endif
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#if BUILD_WITH_VIDEO_INPUT_SUPPORT
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namespace cvtest {
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namespace ocl {
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//////////////////////////// Mog2//////////////////////////
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typedef tuple<string, int> VideoMOG2ParamType;
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typedef TestBaseWithParam<VideoMOG2ParamType> MOG2_Apply;
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typedef TestBaseWithParam<VideoMOG2ParamType> MOG2_GetBackgroundImage;
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static void cvtFrameFmt(vector<Mat>& input, vector<Mat>& output)
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{
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for(int i = 0; i< (int)(input.size()); i++)
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{
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cvtColor(input[i], output[i], COLOR_RGB2GRAY);
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}
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}
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static void prepareData(VideoCapture& cap, int cn, vector<Mat>& frame_buffer)
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{
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cv::Mat frame;
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std::vector<Mat> frame_buffer_init;
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int nFrame = (int)frame_buffer.size();
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for(int i = 0; i < nFrame; i++)
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{
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cap >> frame;
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ASSERT_FALSE(frame.empty());
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frame_buffer_init.push_back(frame);
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}
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if(cn == 1)
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cvtFrameFmt(frame_buffer_init, frame_buffer);
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else
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frame_buffer = frame_buffer_init;
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}
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OCL_PERF_TEST_P(MOG2_Apply, Mog2, Combine(Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"), Values(1,3)))
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{
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VideoMOG2ParamType params = GetParam();
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const string inputFile = getDataPath(get<0>(params));
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const int cn = get<1>(params);
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int nFrame = 5;
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vector<Mat> frame_buffer(nFrame);
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cv::VideoCapture cap(inputFile);
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ASSERT_TRUE(cap.isOpened());
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prepareData(cap, cn, frame_buffer);
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UMat u_foreground;
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OCL_TEST_CYCLE()
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{
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Ptr<cv::BackgroundSubtractorMOG2> mog2 = createBackgroundSubtractorMOG2();
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mog2->setDetectShadows(false);
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u_foreground.release();
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for (int i = 0; i < nFrame; i++)
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{
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mog2->apply(frame_buffer[i], u_foreground);
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}
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}
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SANITY_CHECK(u_foreground);
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}
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OCL_PERF_TEST_P(MOG2_GetBackgroundImage, Mog2, Combine(Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"), Values(3)))
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{
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VideoMOG2ParamType params = GetParam();
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const string inputFile = getDataPath(get<0>(params));
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const int cn = get<1>(params);
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int nFrame = 5;
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vector<Mat> frame_buffer(nFrame);
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cv::VideoCapture cap(inputFile);
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ASSERT_TRUE(cap.isOpened());
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prepareData(cap, cn, frame_buffer);
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UMat u_foreground, u_background;
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OCL_TEST_CYCLE()
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{
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Ptr<cv::BackgroundSubtractorMOG2> mog2 = createBackgroundSubtractorMOG2();
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mog2->setDetectShadows(false);
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u_foreground.release();
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u_background.release();
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for (int i = 0; i < nFrame; i++)
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{
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mog2->apply(frame_buffer[i], u_foreground);
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}
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mog2->getBackgroundImage(u_background);
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}
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SANITY_CHECK(u_background);
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}
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}}// namespace cvtest::ocl
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#endif
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#endif |