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Open Source Computer Vision Library
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34 lines
1.2 KiB
34 lines
1.2 KiB
#include "perf_precomp.hpp" |
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#if BUILD_WITH_VIDEO_OUTPUT_SUPPORT |
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using namespace std; |
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using namespace cv; |
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using namespace perf; |
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using std::tr1::make_tuple; |
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using std::tr1::get; |
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typedef std::tr1::tuple<std::string, bool> VideoWriter_Writing_t; |
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typedef perf::TestBaseWithParam<VideoWriter_Writing_t> VideoWriter_Writing; |
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PERF_TEST_P(VideoWriter_Writing, WriteFrame, |
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testing::Combine( testing::Values( "python/images/QCIF_00.bmp", |
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"python/images/QCIF_01.bmp", |
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"python/images/QCIF_02.bmp", |
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"python/images/QCIF_03.bmp", |
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"python/images/QCIF_04.bmp", |
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"python/images/QCIF_05.bmp" ), |
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testing::Bool())) |
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{ |
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string filename = getDataPath(get<0>(GetParam())); |
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bool isColor = get<1>(GetParam()); |
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VideoWriter writer(cv::tempfile(".avi"), CV_FOURCC('X', 'V', 'I', 'D'), 25, cv::Size(640, 480), isColor); |
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TEST_CYCLE() { Mat image = imread(filename, 1); writer << image; } |
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bool dummy = writer.isOpened(); |
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SANITY_CHECK(dummy); |
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} |
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#endif // BUILD_WITH_VIDEO_OUTPUT_SUPPORT
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