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Open Source Computer Vision Library
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120 lines
3.0 KiB
120 lines
3.0 KiB
#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 |