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c8d8b1fbcd
Add ocl version BackgroundSubtractorKNN (#10553) * Add ocl version bgfg_knn * Add ocl KNN perf test * ocl KNN: Avoid unnecessary initializing when non-UMat parameters are used * video: turn off OpenCL for color KNN on Intel devices due performance degradation * video: turn off KNN OpenCL on Apple devices with Intel iGPU due process freeze during clBuildProgram() call
96 lines
2.6 KiB
C++
96 lines
2.6 KiB
C++
// 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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//////////////////////////// KNN//////////////////////////
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typedef tuple<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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using namespace opencv_test;
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OCL_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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UMat u_foreground;
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OCL_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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u_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], u_foreground);
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}
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}
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SANITY_CHECK_NOTHING();
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}
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OCL_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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UMat u_foreground, u_background;
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OCL_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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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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knn->apply(frame_buffer[i], u_foreground);
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}
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knn->getBackgroundImage(u_background);
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}
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#ifdef DEBUG_BGFG
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imwrite(format("fg_%d_%d_knn_ocl.png", frame_buffer[0].rows, cn), u_foreground.getMat(ACCESS_READ));
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imwrite(format("bg_%d_%d_knn_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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}}// namespace cvtest::ocl
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#endif
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#endif
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