2012-04-30 22:33:52 +08:00
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of Intel Corporation may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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2012-08-20 14:15:36 +08:00
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#include "test_precomp.hpp"
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2013-01-23 19:31:10 +08:00
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#if defined(HAVE_CUDA) && defined(HAVE_NVCUVID)
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2012-04-30 22:33:52 +08:00
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2012-06-05 21:32:04 +08:00
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//////////////////////////////////////////////////////
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2013-01-23 19:31:10 +08:00
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// VideoReader
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2012-06-25 19:13:50 +08:00
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2013-01-23 19:31:10 +08:00
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PARAM_TEST_CASE(VideoReader, cv::gpu::DeviceInfo, std::string)
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2012-06-25 19:13:50 +08:00
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{
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cv::gpu::DeviceInfo devInfo;
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std::string inputFile;
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virtual void SetUp()
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{
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devInfo = GET_PARAM(0);
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2013-01-23 19:31:10 +08:00
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inputFile = GET_PARAM(1);
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2012-06-25 19:13:50 +08:00
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cv::gpu::setDevice(devInfo.deviceID());
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2013-01-23 19:31:10 +08:00
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inputFile = std::string(cvtest::TS::ptr()->get_data_path()) + "video/" + inputFile;
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2012-06-25 19:13:50 +08:00
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}
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};
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2013-01-23 19:31:10 +08:00
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GPU_TEST_P(VideoReader, Regression)
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2012-06-25 19:13:50 +08:00
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{
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2013-01-23 19:31:10 +08:00
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cv::gpu::VideoReader_GPU reader(inputFile);
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ASSERT_TRUE(reader.isOpened());
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2012-06-25 19:13:50 +08:00
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2013-01-23 19:31:10 +08:00
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cv::gpu::GpuMat frame;
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2012-06-25 19:13:50 +08:00
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for (int i = 0; i < 10; ++i)
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{
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2013-01-23 19:31:10 +08:00
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ASSERT_TRUE(reader.read(frame));
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2012-06-25 19:13:50 +08:00
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ASSERT_FALSE(frame.empty());
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2012-08-09 16:30:55 +08:00
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}
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2013-01-23 19:31:10 +08:00
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reader.close();
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ASSERT_FALSE(reader.isOpened());
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2012-08-09 16:30:55 +08:00
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}
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2013-01-23 19:31:10 +08:00
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INSTANTIATE_TEST_CASE_P(GPU_Video, VideoReader, testing::Combine(
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2012-08-09 16:30:55 +08:00
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ALL_DEVICES,
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2013-01-23 19:31:10 +08:00
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testing::Values(std::string("768x576.avi"), std::string("1920x1080.avi"))));
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2012-08-09 16:30:55 +08:00
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2012-06-05 21:32:04 +08:00
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//////////////////////////////////////////////////////
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2012-05-02 21:07:30 +08:00
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// VideoWriter
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#ifdef WIN32
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PARAM_TEST_CASE(VideoWriter, cv::gpu::DeviceInfo, std::string)
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{
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cv::gpu::DeviceInfo devInfo;
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std::string inputFile;
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virtual void SetUp()
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{
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devInfo = GET_PARAM(0);
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inputFile = GET_PARAM(1);
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cv::gpu::setDevice(devInfo.deviceID());
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2013-01-23 19:31:10 +08:00
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inputFile = std::string(cvtest::TS::ptr()->get_data_path()) + std::string("video/") + inputFile;
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2012-05-02 21:07:30 +08:00
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}
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};
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2013-01-23 19:31:10 +08:00
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GPU_TEST_P(VideoWriter, Regression)
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2012-05-02 21:07:30 +08:00
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{
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2013-01-23 19:31:10 +08:00
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std::string outputFile = cv::tempfile(".avi");
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2012-05-02 21:07:30 +08:00
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const double FPS = 25.0;
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cv::VideoCapture reader(inputFile);
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2013-01-23 19:31:10 +08:00
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ASSERT_TRUE(reader.isOpened());
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2012-05-02 21:07:30 +08:00
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cv::gpu::VideoWriter_GPU d_writer;
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cv::Mat frame;
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cv::gpu::GpuMat d_frame;
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2012-06-05 21:32:04 +08:00
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for (int i = 0; i < 10; ++i)
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2012-05-02 21:07:30 +08:00
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{
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reader >> frame;
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2012-06-05 21:32:04 +08:00
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ASSERT_FALSE(frame.empty());
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2012-05-02 21:07:30 +08:00
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d_frame.upload(frame);
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if (!d_writer.isOpened())
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d_writer.open(outputFile, frame.size(), FPS);
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d_writer.write(d_frame);
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}
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reader.release();
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d_writer.close();
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reader.open(outputFile);
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2013-01-23 19:31:10 +08:00
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ASSERT_TRUE(reader.isOpened());
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2012-05-02 21:07:30 +08:00
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for (int i = 0; i < 5; ++i)
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{
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reader >> frame;
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2013-01-23 19:31:10 +08:00
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ASSERT_FALSE(frame.empty());
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2012-05-02 21:07:30 +08:00
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}
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}
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INSTANTIATE_TEST_CASE_P(GPU_Video, VideoWriter, testing::Combine(
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ALL_DEVICES,
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2012-06-05 21:32:04 +08:00
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testing::Values(std::string("768x576.avi"), std::string("1920x1080.avi"))));
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2012-05-02 21:07:30 +08:00
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#endif // WIN32
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2013-01-23 19:31:10 +08:00
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#endif // defined(HAVE_CUDA) && defined(HAVE_NVCUVID)
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