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Open Source Computer Vision Library
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45 lines
1.3 KiB
45 lines
1.3 KiB
#include "perf_precomp.hpp" |
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#ifdef HAVE_VIDEO_OUTPUT |
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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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const string image_files[] = { |
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"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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}; |
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PERF_TEST_P(VideoWriter_Writing, WriteFrame, |
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testing::Combine( |
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testing::ValuesIn(image_files), |
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testing::Bool())) |
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{ |
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const string filename = getDataPath(get<0>(GetParam())); |
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const bool isColor = get<1>(GetParam()); |
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Mat image = imread(filename, 1); |
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#if defined(HAVE_MSMF) && !defined(HAVE_VFW) && !defined(HAVE_FFMPEG) // VFW has greater priority |
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const string outfile = cv::tempfile(".wmv"); |
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const int fourcc = VideoWriter::fourcc('W', 'M', 'V', '3'); |
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#else |
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const string outfile = cv::tempfile(".avi"); |
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const int fourcc = VideoWriter::fourcc('X', 'V', 'I', 'D'); |
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#endif |
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VideoWriter writer(outfile, fourcc, 25, cv::Size(image.cols, image.rows), isColor); |
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TEST_CYCLE_N(100) { writer << image; } |
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SANITY_CHECK_NOTHING(); |
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remove(outfile.c_str()); |
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} |
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#endif // HAVE_VIDEO_OUTPUT
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