Open Source Computer Vision Library https://opencv.org/
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#include "perf_precomp.hpp"
#if BUILD_WITH_VIDEO_OUTPUT_SUPPORT
using namespace std;
using namespace cv;
using namespace perf;
using std::tr1::make_tuple;
using std::tr1::get;
typedef std::tr1::tuple<std::string, bool> VideoWriter_Writing_t;
typedef perf::TestBaseWithParam<VideoWriter_Writing_t> VideoWriter_Writing;
PERF_TEST_P(VideoWriter_Writing, WriteFrame,
testing::Combine( testing::Values( "python/images/QCIF_00.bmp",
"python/images/QCIF_01.bmp",
"python/images/QCIF_02.bmp",
"python/images/QCIF_03.bmp",
"python/images/QCIF_04.bmp",
"python/images/QCIF_05.bmp" ),
testing::Bool()))
{
string filename = getDataPath(get<0>(GetParam()));
bool isColor = get<1>(GetParam());
Mat image = imread(filename, 1);
#if defined(HAVE_MSMF) && !defined(HAVE_VFW) && !defined(HAVE_FFMPEG) // VFW has greater priority
VideoWriter writer(cv::tempfile(".wmv"), VideoWriter::fourcc('W', 'M', 'V', '3'),
25, cv::Size(image.cols, image.rows), isColor);
#else
VideoWriter writer(cv::tempfile(".avi"), VideoWriter::fourcc('X', 'V', 'I', 'D'),
25, cv::Size(image.cols, image.rows), isColor);
#endif
TEST_CYCLE() { image = imread(filename, 1); writer << image; }
bool dummy = writer.isOpened();
SANITY_CHECK(dummy);
}
#endif // BUILD_WITH_VIDEO_OUTPUT_SUPPORT