opencv/modules/cudacodec/test/test_video.cpp
2017-07-25 13:30:48 +03:00

126 lines
3.9 KiB
C++

/*M///////////////////////////////////////////////////////////////////////////////////////
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#include "test_precomp.hpp"
#ifdef HAVE_NVCUVID
PARAM_TEST_CASE(Video, cv::cuda::DeviceInfo, std::string)
{
};
//////////////////////////////////////////////////////
// VideoReader
CUDA_TEST_P(Video, Reader)
{
cv::cuda::setDevice(GET_PARAM(0).deviceID());
const std::string inputFile = std::string(cvtest::TS::ptr()->get_data_path()) + "video/" + GET_PARAM(1);
cv::Ptr<cv::cudacodec::VideoReader> reader = cv::cudacodec::createVideoReader(inputFile);
cv::cuda::GpuMat frame;
for (int i = 0; i < 10; ++i)
{
ASSERT_TRUE(reader->nextFrame(frame));
ASSERT_FALSE(frame.empty());
}
}
//////////////////////////////////////////////////////
// VideoWriter
#ifdef _WIN32
CUDA_TEST_P(Video, Writer)
{
cv::cuda::setDevice(GET_PARAM(0).deviceID());
const std::string inputFile = std::string(cvtest::TS::ptr()->get_data_path()) + "video/" + GET_PARAM(1);
std::string outputFile = cv::tempfile(".avi");
const double FPS = 25.0;
cv::VideoCapture reader(inputFile);
ASSERT_TRUE(reader.isOpened());
cv::Ptr<cv::cudacodec::VideoWriter> d_writer;
cv::Mat frame;
cv::cuda::GpuMat d_frame;
for (int i = 0; i < 10; ++i)
{
reader >> frame;
ASSERT_FALSE(frame.empty());
d_frame.upload(frame);
if (d_writer.empty())
d_writer = cv::cudacodec::createVideoWriter(outputFile, frame.size(), FPS);
d_writer->write(d_frame);
}
reader.release();
d_writer.release();
reader.open(outputFile);
ASSERT_TRUE(reader.isOpened());
for (int i = 0; i < 5; ++i)
{
reader >> frame;
ASSERT_FALSE(frame.empty());
}
}
#endif // _WIN32
INSTANTIATE_TEST_CASE_P(CUDA_Codec, Video, testing::Combine(
ALL_DEVICES,
testing::Values(std::string("768x576.avi"), std::string("1920x1080.avi"))));
#endif // HAVE_NVCUVID