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https://github.com/opencv/opencv.git
synced 2025-06-27 23:11:57 +08:00
video(perf): add Mog2/KNN tests, fixed bug in prepareData()
prepareData() bug feeds the same image (the latest) OCL perf test doesn't pass accuracy(!) check now, so this check is disabled.
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@ -1,8 +1,13 @@
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// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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#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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#ifdef HAVE_VIDEO_INPUT
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#include "../perf_bgfg_utils.hpp"
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namespace cvtest {
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namespace ocl {
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@ -13,31 +18,7 @@ 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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using namespace opencv_test;
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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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@ -66,23 +47,26 @@ OCL_PERF_TEST_P(MOG2_Apply, Mog2, Combine(Values("gpu/video/768x576.avi", "gpu/v
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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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SANITY_CHECK_NOTHING();
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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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OCL_PERF_TEST_P(MOG2_GetBackgroundImage, Mog2, Values(
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std::make_pair<string, int>("gpu/video/768x576.avi", 5),
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std::make_pair<string, int>("gpu/video/1920x1080.avi", 5)))
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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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const int cn = 3;
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const int skipFrames = get<1>(params);
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int nFrame = 10;
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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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prepareData(cap, cn, frame_buffer, skipFrames);
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UMat u_foreground, u_background;
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@ -98,6 +82,10 @@ OCL_PERF_TEST_P(MOG2_GetBackgroundImage, Mog2, Combine(Values("gpu/video/768x576
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}
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mog2->getBackgroundImage(u_background);
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}
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#ifdef DEBUG_BGFG
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imwrite(format("fg_%d_%d_mog2_ocl.png", frame_buffer[0].rows, cn), u_foreground.getMat(ACCESS_READ));
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imwrite(format("bg_%d_%d_mog2_ocl.png", frame_buffer[0].rows, cn), u_background.getMat(ACCESS_READ));
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#endif
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SANITY_CHECK_NOTHING();
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}
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89
modules/video/perf/perf_bgfg_knn.cpp
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89
modules/video/perf/perf_bgfg_knn.cpp
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@ -0,0 +1,89 @@
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// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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#include "perf_precomp.hpp"
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#ifdef HAVE_VIDEO_INPUT
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#include "perf_bgfg_utils.hpp"
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namespace opencv_test { namespace {
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//////////////////////////// KNN//////////////////////////
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typedef tuple<std::string, int> VideoKNNParamType;
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typedef TestBaseWithParam<VideoKNNParamType> KNN_Apply;
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typedef TestBaseWithParam<VideoKNNParamType> KNN_GetBackgroundImage;
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PERF_TEST_P(KNN_Apply, KNN, Combine(Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"), Values(1,3)))
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{
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VideoKNNParamType 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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Mat foreground;
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TEST_CYCLE()
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{
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Ptr<cv::BackgroundSubtractorKNN> knn = createBackgroundSubtractorKNN();
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knn->setDetectShadows(false);
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foreground.release();
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for (int i = 0; i < nFrame; i++)
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{
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knn->apply(frame_buffer[i], foreground);
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}
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}
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P(KNN_GetBackgroundImage, KNN, Values(
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std::make_pair<string, int>("gpu/video/768x576.avi", 5),
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std::make_pair<string, int>("gpu/video/1920x1080.avi", 5)))
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{
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VideoKNNParamType params = GetParam();
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const string inputFile = getDataPath(get<0>(params));
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const int cn = 3;
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const int skipFrames = get<1>(params);
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int nFrame = 10;
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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, skipFrames);
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Mat foreground, background;
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TEST_CYCLE()
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{
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Ptr<cv::BackgroundSubtractorKNN> knn = createBackgroundSubtractorKNN();
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knn->setDetectShadows(false);
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foreground.release();
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background.release();
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for (int i = 0; i < nFrame; i++)
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{
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knn->apply(frame_buffer[i], foreground);
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}
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knn->getBackgroundImage(background);
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}
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#ifdef DEBUG_BGFG
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imwrite(format("fg_%d_%d_knn.png", frame_buffer[0].rows, cn), foreground);
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imwrite(format("bg_%d_%d_knn.png", frame_buffer[0].rows, cn), background);
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#endif
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SANITY_CHECK_NOTHING();
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}
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}}// namespace
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#endif
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89
modules/video/perf/perf_bgfg_mog2.cpp
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89
modules/video/perf/perf_bgfg_mog2.cpp
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@ -0,0 +1,89 @@
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// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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#include "perf_precomp.hpp"
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#ifdef HAVE_VIDEO_INPUT
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#include "perf_bgfg_utils.hpp"
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namespace opencv_test { namespace {
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//////////////////////////// Mog2//////////////////////////
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typedef tuple<std::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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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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Mat foreground;
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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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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], foreground);
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}
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}
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P(MOG2_GetBackgroundImage, Mog2, Values(
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std::make_pair<string, int>("gpu/video/768x576.avi", 5),
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std::make_pair<string, int>("gpu/video/1920x1080.avi", 5)))
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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 = 3;
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const int skipFrames = get<1>(params);
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int nFrame = 10;
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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, skipFrames);
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Mat foreground, background;
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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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foreground.release();
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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], foreground);
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}
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mog2->getBackgroundImage(background);
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}
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#ifdef DEBUG_BGFG
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imwrite(format("fg_%d_%d_mog2.png", frame_buffer[0].rows, cn), foreground);
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imwrite(format("bg_%d_%d_mog2.png", frame_buffer[0].rows, cn), background);
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#endif
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SANITY_CHECK_NOTHING();
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}
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}}// namespace
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#endif
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48
modules/video/perf/perf_bgfg_utils.hpp
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48
modules/video/perf/perf_bgfg_utils.hpp
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// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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namespace opencv_test {
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//#define DEBUG_BGFG
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using namespace testing;
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using namespace cvtest;
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using namespace perf;
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namespace {
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using namespace cv;
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static void cvtFrameFmt(std::vector<Mat>& input, std::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, std::vector<Mat>& frame_buffer, int skipFrames = 0)
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{
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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 < skipFrames; i++)
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{
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cv::Mat frame;
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cap >> frame;
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}
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for (int i = 0; i < nFrame; i++)
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{
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cv::Mat frame;
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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.swap(frame_buffer_init);
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}
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}}
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