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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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// 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 <string>
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#include <iostream>
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#include <fstream>
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#include <iterator>
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using namespace cv;
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using namespace std;
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#if defined WIN32 || defined _WIN32
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//#if 0
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#else
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#define MARKERS1
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#ifdef MARKERS
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#define marker(x) cout << (x) << endl
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#else
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#define marker(x)
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#endif
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struct TempDirHolder
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{
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string temp_folder;
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TempDirHolder()
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{
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temp_folder = tempfile();
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exec_cmd("mkdir " + temp_folder);
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}
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~TempDirHolder() { exec_cmd("rm -rf " + temp_folder); }
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static void exec_cmd(const string& cmd) { marker(cmd); int res = system( cmd.c_str() ); (void)res; }
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TempDirHolder& operator=(const TempDirHolder&);
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};
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class CV_HighGuiTest : public CvTest
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{
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public:
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CV_HighGuiTest();
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~CV_HighGuiTest();
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protected:
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void run(int);
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bool ImagesTest(const string& dir, const string& tmp);
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bool VideoTest(const string& dir, const string& tmp, int fourcc);
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bool GuiTest(const string& dir, const string& tmp);
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};
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CV_HighGuiTest::CV_HighGuiTest(): CvTest( "z-highgui", "?" )
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{
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support_testing_modes = CvTS::CORRECTNESS_CHECK_MODE;
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}
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CV_HighGuiTest::~CV_HighGuiTest() {}
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double PSNR(const Mat& m1, const Mat& m2)
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{
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Mat tmp;
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absdiff( m1.reshape(1), m2.reshape(1), tmp);
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multiply(tmp, tmp, tmp);
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double MSE = 1.0/(tmp.cols * tmp.rows) * sum(tmp)[0];
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return 20 * log10(255.0 / sqrt(MSE));
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}
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bool CV_HighGuiTest::ImagesTest(const string& dir, const string& tmp)
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{
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int code = CvTS::OK;
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Mat image = imread(dir + "shared/baboon.jpg");
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if (image.empty())
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{
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ts->set_failed_test_info(CvTS::FAIL_MISSING_TEST_DATA);
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return false;
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}
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const string exts[] = {"png", "bmp", "tiff", "jpg", "jp2", "ppm", "ras"};
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const size_t ext_num = sizeof(exts)/sizeof(exts[0]);
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for(size_t i = 0; i < ext_num; ++i)
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{
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ts->printf(CvTS::LOG, "ext=%s\n", exts[i].c_str());
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string ext = exts[i];
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string full_name = tmp + "/img." + ext;
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marker(exts[i]);
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imwrite(full_name, image);
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Mat loaded = imread(full_name);
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if (loaded.empty())
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{
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ts->printf(CvTS::LOG, "Reading failed at fmt=%s\n", ext.c_str());
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code = CvTS::FAIL_MISMATCH;
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continue;
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}
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const double thresDbell = 20;
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double psnr = PSNR(loaded, image);
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if (psnr < thresDbell)
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{
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ts->printf(CvTS::LOG, "Reading image from file: too big difference (=%g) with fmt=%s\n", psnr, ext.c_str());
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code = CvTS::FAIL_BAD_ACCURACY;
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continue;
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}
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FILE *f = fopen(full_name.c_str(), "rb");
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fseek(f, 0, SEEK_END);
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size_t len = ftell(f);
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vector<uchar> from_file(len);
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fseek(f, 0, SEEK_SET);
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size_t read = fread(&from_file[0], len, sizeof(vector<uchar>::value_type), f); (void)read;
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fclose(f);
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vector<uchar> buf;
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imencode("." + exts[i], image, buf);
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if (buf != from_file)
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{
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ts->printf(CvTS::LOG, "Encoding failed with fmt=%s\n", ext.c_str());
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code = CvTS::FAIL_MISMATCH;
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continue;
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}
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Mat buf_loaded = imdecode(Mat(buf), 1);
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if (buf_loaded.empty())
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{
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ts->printf(CvTS::LOG, "Decoding failed with fmt=%s\n", ext.c_str());
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code = CvTS::FAIL_MISMATCH;
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continue;
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}
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psnr = PSNR(buf_loaded, image);
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if (psnr < thresDbell)
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{
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ts->printf(CvTS::LOG, "Decoding image from memory: too small PSNR (=%gdb) with fmt=%s\n", psnr, ext.c_str());
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code = CvTS::FAIL_MISMATCH;
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continue;
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}
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}
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ts->set_failed_test_info(code);
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return code == CvTS::OK;
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}
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bool CV_HighGuiTest::VideoTest(const string& dir, const string& tmp, int fourcc)
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{
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string src_file = dir + "shared/video_for_test.avi";
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string tmp_name = tmp + "/video.avi";
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CvCapture* cap = cvCaptureFromFile(src_file.c_str());
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if (!cap)
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{
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ts->set_failed_test_info(CvTS::FAIL_MISMATCH);
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return false;
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}
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CvVideoWriter* writer = 0;
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int counter = 0;
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for(;;)
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{
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IplImage* img = cvQueryFrame( cap );
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if (!img)
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break;
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if (writer == 0)
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{
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writer = cvCreateVideoWriter(tmp_name.c_str(), fourcc, 24, cvGetSize(img));
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if (writer == 0)
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{
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marker("can't craete writer");
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cvReleaseCapture( &cap );
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ts->set_failed_test_info(CvTS::FAIL_MISMATCH);
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return false;
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}
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}
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cvWriteFrame(writer, img);
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}
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cvReleaseVideoWriter( &writer );
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cvReleaseCapture( &cap );
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marker("mid++");
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cap = cvCaptureFromFile(src_file.c_str());
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marker("mid1");
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CvCapture *saved = cvCaptureFromFile(tmp_name.c_str());
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if (!saved)
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{
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ts->set_failed_test_info(CvTS::FAIL_MISMATCH);
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return false;
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}
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const double thresDbell = 20;
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bool error = false;
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counter = 0;
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for(;;)
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{
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IplImage* ipl = cvQueryFrame( cap );
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IplImage* ipl1 = cvQueryFrame( saved );
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if (!ipl || !ipl1)
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break;
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Mat img(ipl);
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Mat img1(ipl1);
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if (PSNR(img1, img) < thresDbell)
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{
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error = true;
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break;
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}
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}
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cvReleaseCapture( &cap );
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cvReleaseCapture( &saved );
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if (error)
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{
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ts->set_failed_test_info(CvTS::FAIL_MISMATCH);
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return false;
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}
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return true;
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}
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void CV_HighGuiTest::run( int /*start_from */)
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{
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TempDirHolder th;
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if (!ImagesTest(ts->get_data_path(), th.temp_folder))
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return;
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#if defined WIN32 || defined __linux__
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#if !defined HAVE_GSTREAMER || defined HAVE_GSTREAMER_APP
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if (!VideoTest(ts->get_data_path(), th.temp_folder, CV_FOURCC_DEFAULT))
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return;
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if (!VideoTest(ts->get_data_path(), th.temp_folder, CV_FOURCC('M', 'J', 'P', 'G')))
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return;
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if (!VideoTest(ts->get_data_path(), th.temp_folder, CV_FOURCC('M', 'P', 'G', '2')))
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return;
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#endif
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//if (!VideoTest(ts->get_data_path(), th.temp_folder, CV_FOURCC('D', 'X', '5', '0'))) return;
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#endif
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ts->set_failed_test_info(CvTS::OK);
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}
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CV_HighGuiTest HighGui_test;
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#endif
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