2011-06-01 18:14:17 +02:00
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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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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., 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 the copyright holders 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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// 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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#include "test_precomp.hpp"
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#include "opencv2/highgui/highgui.hpp"
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using namespace cv;
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using namespace std;
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class CV_FFmpegWriteBigImagesTest : public cvtest::BaseTest
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{
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public:
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void run(int)
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{
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try
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{
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Mat img = imread(string(ts->get_data_path()) + "readwrite/read.png", 0);
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if (img.empty()) ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
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imwrite(string(ts->get_data_path()) + "readwrite/write.png", img);
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}
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catch(...)
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{
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ts->set_failed_test_info(cvtest::TS::FAIL_EXCEPTION);
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}
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ts->set_failed_test_info(cvtest::TS::OK);
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}
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};
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class CV_FFmpegWriteBigVideoTest : public cvtest::BaseTest
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{
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public:
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void run(int)
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{
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const int img_r = 4096;
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const int img_c = 4096;
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Size frame_s = Size(img_c, img_r);
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const double fps = 30;
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const double time_sec = 1;
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Mat img(img_r, img_c, CV_8UC3, Scalar::all(0));
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try
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{
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VideoWriter writer(string(ts->get_data_path()) + "video/output.avi",
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CV_FOURCC('X', 'V', 'I', 'D'), fps, frame_s);
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2011-06-01 19:41:30 +02:00
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if (writer.isOpened() == false) ts->set_failed_test_info(cvtest::TS::FAIL_EXCEPTION);
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2011-06-01 18:14:17 +02:00
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for (int i = 0 ; i < static_cast<int>(fps * time_sec); i++ )
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{
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circle(img, Point2i(img_c / 2, img_r / 2), cv::min(img_r, img_c) / 2 * (i + 1), Scalar::all(255));
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writer << img;
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}
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}
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catch(...)
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{
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ts->set_failed_test_info(cvtest::TS::FAIL_EXCEPTION);
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}
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ts->set_failed_test_info(cvtest::TS::OK);
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}
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};
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TEST(Highgui_FFmpeg_WriteBigImage, regression) { CV_FFmpegWriteBigImagesTest test; test.safe_run(); }
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TEST(Highgui_FFmpeg_WriteBigVideo, regression) { CV_FFmpegWriteBigVideoTest test; test.safe_run(); }
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