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https://github.com/opencv/opencv.git
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177 lines
6.7 KiB
C++
177 lines
6.7 KiB
C++
/*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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// 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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#include "test_precomp.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#ifdef HAVE_FFMPEG
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#include "ffmpeg_codecs.hpp"
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using namespace cv;
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using namespace std;
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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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const double fps0 = 15;
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const double time_sec = 1;
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const size_t n = sizeof(codec_bmp_tags)/sizeof(codec_bmp_tags[0]);
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bool created = false;
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for (size_t j = 0; j < n; ++j)
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{
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stringstream s; s << codec_bmp_tags[j].tag;
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int tag = codec_bmp_tags[j].tag;
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if( tag != MKTAG('H', '2', '6', '3') &&
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tag != MKTAG('H', '2', '6', '1') &&
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//tag != MKTAG('D', 'I', 'V', 'X') &&
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tag != MKTAG('D', 'X', '5', '0') &&
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tag != MKTAG('X', 'V', 'I', 'D') &&
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tag != MKTAG('m', 'p', '4', 'v') &&
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//tag != MKTAG('D', 'I', 'V', '3') &&
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//tag != MKTAG('W', 'M', 'V', '1') &&
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//tag != MKTAG('W', 'M', 'V', '2') &&
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tag != MKTAG('M', 'P', 'E', 'G') &&
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tag != MKTAG('M', 'J', 'P', 'G') &&
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//tag != MKTAG('j', 'p', 'e', 'g') &&
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tag != 0 &&
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tag != MKTAG('I', '4', '2', '0') &&
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//tag != MKTAG('Y', 'U', 'Y', '2') &&
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tag != MKTAG('F', 'L', 'V', '1') )
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continue;
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const string filename = "output_"+s.str()+".avi";
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try
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{
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double fps = fps0;
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Size frame_s = Size(img_c, img_r);
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if( tag == CV_FOURCC('H', '2', '6', '1') )
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frame_s = Size(352, 288);
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else if( tag == CV_FOURCC('H', '2', '6', '3') )
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frame_s = Size(704, 576);
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/*else if( tag == CV_FOURCC('M', 'J', 'P', 'G') ||
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tag == CV_FOURCC('j', 'p', 'e', 'g') )
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frame_s = Size(1920, 1080);*/
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if( tag == CV_FOURCC('M', 'P', 'E', 'G') )
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fps = 25;
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VideoWriter writer(filename, tag, fps, frame_s);
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if (writer.isOpened() == false)
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{
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ts->printf(ts->LOG, "\n\nFile name: %s\n", filename.c_str());
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ts->printf(ts->LOG, "Codec id: %d Codec tag: %c%c%c%c\n", j,
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tag & 255, (tag >> 8) & 255, (tag >> 16) & 255, (tag >> 24) & 255);
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ts->printf(ts->LOG, "Error: cannot create video file.");
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ts->set_failed_test_info(ts->FAIL_INVALID_OUTPUT);
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}
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else
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{
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Mat img(frame_s, CV_8UC3, Scalar::all(0));
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const int coeff = cvRound(cv::min(frame_s.width, frame_s.height)/(fps0 * time_sec));
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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(255, 0, 0, 0), 2);
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rectangle(img, Point2i(coeff * i, coeff * i), Point2i(coeff * (i + 1), coeff * (i + 1)),
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Scalar::all(255 * (1.0 - static_cast<double>(i) / (fps * time_sec * 2) )), -1);
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writer << img;
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}
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if (!created) created = true;
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else remove(filename.c_str());
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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(ts->FAIL_INVALID_OUTPUT);
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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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};
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TEST(Highgui_Video, ffmpeg_writebig) { CV_FFmpegWriteBigVideoTest test; test.safe_run(); }
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class CV_FFmpegReadImageTest : 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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string filename = ts->get_data_path() + "../cv/features2d/tsukuba.png";
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VideoCapture cap(filename);
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Mat img0 = imread(filename, 1);
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Mat img, img_next;
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cap >> img;
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cap >> img_next;
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CV_Assert( !img0.empty() && !img.empty() && img_next.empty() );
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double diff = norm(img0, img, CV_C);
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CV_Assert( diff == 0 );
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}
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catch(...)
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{
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ts->set_failed_test_info(ts->FAIL_INVALID_OUTPUT);
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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_Video, ffmpeg_image) { CV_FFmpegReadImageTest test; test.safe_run(); }
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#endif
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