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gpucodec module for video decoding/encoding

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This commit is contained in:
Vladislav Vinogradov
2013-04-18 10:35:54 +04:00
parent 02131ffb62
commit 1b00a3ed54
47 changed files with 2247 additions and 1866 deletions
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153
modules/gpu/test/test_video.cpp
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
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//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
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// this list of conditions and the following disclaimer.
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// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
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//M*/
#include "test_precomp.hpp"
#if defined(HAVE_CUDA) && defined(HAVE_NVCUVID)
//////////////////////////////////////////////////////
// VideoReader
PARAM_TEST_CASE(VideoReader, cv::gpu::DeviceInfo, std::string)
{
cv::gpu::DeviceInfo devInfo;
std::string inputFile;
virtual void SetUp()
{
devInfo = GET_PARAM(0);
inputFile = GET_PARAM(1);
cv::gpu::setDevice(devInfo.deviceID());
inputFile = std::string(cvtest::TS::ptr()->get_data_path()) + "video/" + inputFile;
}
};
GPU_TEST_P(VideoReader, Regression)
{
cv::gpu::VideoReader_GPU reader(inputFile);
ASSERT_TRUE(reader.isOpened());
cv::gpu::GpuMat frame;
for (int i = 0; i < 10; ++i)
{
ASSERT_TRUE(reader.read(frame));
ASSERT_FALSE(frame.empty());
}
reader.close();
ASSERT_FALSE(reader.isOpened());
}
INSTANTIATE_TEST_CASE_P(GPU_Video, VideoReader, testing::Combine(
ALL_DEVICES,
testing::Values(std::string("768x576.avi"), std::string("1920x1080.avi"))));
//////////////////////////////////////////////////////
// VideoWriter
#ifdef WIN32
PARAM_TEST_CASE(VideoWriter, cv::gpu::DeviceInfo, std::string)
{
cv::gpu::DeviceInfo devInfo;
std::string inputFile;
virtual void SetUp()
{
devInfo = GET_PARAM(0);
inputFile = GET_PARAM(1);
cv::gpu::setDevice(devInfo.deviceID());
inputFile = std::string(cvtest::TS::ptr()->get_data_path()) + std::string("video/") + inputFile;
}
};
GPU_TEST_P(VideoWriter, Regression)
{
std::string outputFile = cv::tempfile(".avi");
const double FPS = 25.0;
cv::VideoCapture reader(inputFile);
ASSERT_TRUE(reader.isOpened());
cv::gpu::VideoWriter_GPU d_writer;
cv::Mat frame;
cv::gpu::GpuMat d_frame;
for (int i = 0; i < 10; ++i)
{
reader >> frame;
ASSERT_FALSE(frame.empty());
d_frame.upload(frame);
if (!d_writer.isOpened())
d_writer.open(outputFile, frame.size(), FPS);
d_writer.write(d_frame);
}
reader.release();
d_writer.close();
reader.open(outputFile);
ASSERT_TRUE(reader.isOpened());
for (int i = 0; i < 5; ++i)
{
reader >> frame;
ASSERT_FALSE(frame.empty());
}
}
INSTANTIATE_TEST_CASE_P(GPU_Video, VideoWriter, testing::Combine(
ALL_DEVICES,
testing::Values(std::string("768x576.avi"), std::string("1920x1080.avi"))));
#endif // WIN32
#endif // defined(HAVE_CUDA) && defined(HAVE_NVCUVID)