713 lines
23 KiB
C++
713 lines
23 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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using namespace cv;
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using namespace std;
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class CV_HighGuiTest : public cvtest::BaseTest
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{
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protected:
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void ImageTest(const string& dir);
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void VideoTest (const string& dir, int fourcc);
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void SpecificImageTest (const string& dir);
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void SpecificVideoFileTest (const string& dir, const char codecchars[4]);
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void SpecificVideoCameraTest (const string& dir, const char codecchars[4]);
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public:
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CV_HighGuiTest();
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~CV_HighGuiTest();
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virtual void run(int) = 0;
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};
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class CV_ImageTest : public CV_HighGuiTest
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{
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public:
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CV_ImageTest();
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~CV_ImageTest();
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void run(int);
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};
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class CV_SpecificImageTest : public CV_HighGuiTest
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{
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public:
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CV_SpecificImageTest();
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~CV_SpecificImageTest();
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void run(int);
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};
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class CV_VideoTest : public CV_HighGuiTest
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{
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public:
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CV_VideoTest();
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~CV_VideoTest();
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void run(int);
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};
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class CV_SpecificVideoFileTest : public CV_HighGuiTest
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{
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public:
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CV_SpecificVideoFileTest();
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~CV_SpecificVideoFileTest();
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void run(int);
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};
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class CV_SpecificVideoCameraTest : public CV_HighGuiTest
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{
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public:
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CV_SpecificVideoCameraTest();
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~CV_SpecificVideoCameraTest();
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void run(int);
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};
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CV_HighGuiTest::CV_HighGuiTest() {}
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CV_HighGuiTest::~CV_HighGuiTest() {}
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CV_ImageTest::CV_ImageTest() : CV_HighGuiTest() {}
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CV_VideoTest::CV_VideoTest() : CV_HighGuiTest() {}
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CV_SpecificImageTest::CV_SpecificImageTest() : CV_HighGuiTest() {}
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CV_SpecificVideoFileTest::CV_SpecificVideoFileTest() : CV_HighGuiTest() {}
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CV_SpecificVideoCameraTest::CV_SpecificVideoCameraTest() : CV_HighGuiTest() {}
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CV_ImageTest::~CV_ImageTest() {}
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CV_VideoTest::~CV_VideoTest() {}
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CV_SpecificImageTest::~CV_SpecificImageTest() {}
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CV_SpecificVideoFileTest::~CV_SpecificVideoFileTest() {}
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CV_SpecificVideoCameraTest::~CV_SpecificVideoCameraTest() {}
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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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void CV_HighGuiTest::ImageTest(const string& dir)
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{
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string _name = dir + string("../cv/shared/baboon.jpg");
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ts->printf(ts->LOG, "reading image : %s\n", _name.c_str());
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Mat image = imread(_name);
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image.convertTo(image, CV_8UC3);
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if (image.empty())
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{
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ts->set_failed_test_info(ts->FAIL_MISSING_TEST_DATA);
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return;
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}
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const string exts[] = {
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#ifdef HAVE_PNG
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"png",
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#endif
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#ifdef HAVE_TIFF
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"tiff",
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#endif
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#ifdef HAVE_JPEG
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"jpg",
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#endif
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#ifdef HAVE_JASPER
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"jp2",
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#endif
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#ifdef HAVE_OPENEXR
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"exr",
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#endif
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"bmp",
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"ppm",
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"ras"
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};
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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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string ext = exts[i];
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string full_name = "img." + ext;
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ts->printf(ts->LOG, " full_name : %s\n", full_name.c_str());
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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(ts->LOG, "Reading failed at fmt=%s\n", ext.c_str());
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ts->set_failed_test_info(ts->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(ts->LOG, "Reading image from file: too big difference (=%g) with fmt=%s\n", psnr, ext.c_str());
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ts->set_failed_test_info(ts->FAIL_BAD_ACCURACY);
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continue;
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}
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vector<uchar> from_file;
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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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long len = ftell(f);
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from_file.resize((size_t)len);
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fseek(f, 0, SEEK_SET);
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from_file.resize(fread(&from_file[0], 1, from_file.size(), f));
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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(ts->LOG, "Encoding failed with fmt=%s\n", ext.c_str());
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ts->set_failed_test_info(ts->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(ts->LOG, "Decoding failed with fmt=%s\n", ext.c_str());
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ts->set_failed_test_info(ts->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(ts->LOG, "Decoding image from memory: too small PSNR (=%gdb) with fmt=%s\n", psnr, ext.c_str());
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ts->set_failed_test_info(ts->FAIL_MISMATCH);
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continue;
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}
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}
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ts->printf(ts->LOG, "end test function : ImagesTest \n");
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ts->set_failed_test_info(ts->OK);
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}
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void CV_HighGuiTest::VideoTest(const string& dir, int fourcc)
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{
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string src_file = dir + "../cv/shared/video_for_test.avi";
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string tmp_name = "video.avi";
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ts->printf(ts->LOG, "reading video : %s\n", src_file.c_str());
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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(ts->FAIL_MISMATCH);
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return;
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}
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CvVideoWriter* writer = 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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ts->printf(ts->LOG, "can't create writer (with fourcc : %d)\n", fourcc);
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cvReleaseCapture( &cap );
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ts->set_failed_test_info(ts->FAIL_MISMATCH);
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return;
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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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cap = cvCaptureFromFile(src_file.c_str());
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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(ts->FAIL_MISMATCH);
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return;
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}
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const double thresDbell = 20;
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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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ts->set_failed_test_info(ts->FAIL_MISMATCH);
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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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ts->printf(ts->LOG, "end test function : ImagesVideo \n");
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}
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void CV_HighGuiTest::SpecificImageTest(const string& dir)
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{
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const size_t IMAGE_COUNT = 10;
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for (size_t i = 0; i < IMAGE_COUNT; ++i)
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{
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stringstream s; s << i;
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string file_path = dir+"../python/images/QCIF_0"+s.str()+".bmp";
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Mat image = imread(file_path);
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if (image.empty())
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{
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ts->set_failed_test_info(ts->FAIL_MISSING_TEST_DATA);
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return;
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}
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cv::resize(image, image, cv::Size(968, 757), 0.0, 0.0, cv::INTER_CUBIC);
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stringstream s_digit; s_digit << i;
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string full_name = "img_"+s_digit.str()+".bmp";
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ts->printf(ts->LOG, " full_name : %s\n", full_name.c_str());
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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(ts->LOG, "Reading failed at fmt=bmp\n");
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ts->set_failed_test_info(ts->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(ts->LOG, "Reading image from file: too big difference (=%g) with fmt=bmp\n", psnr);
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ts->set_failed_test_info(ts->FAIL_BAD_ACCURACY);
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continue;
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}
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vector<uchar> from_file;
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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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long len = ftell(f);
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from_file.resize((size_t)len);
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fseek(f, 0, SEEK_SET);
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from_file.resize(fread(&from_file[0], 1, from_file.size(), f));
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fclose(f);
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vector<uchar> buf;
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imencode(".bmp", image, buf);
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if (buf != from_file)
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{
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ts->printf(ts->LOG, "Encoding failed with fmt=bmp\n");
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ts->set_failed_test_info(ts->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(ts->LOG, "Decoding failed with fmt=bmp\n");
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ts->set_failed_test_info(ts->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(ts->LOG, "Decoding image from memory: too small PSNR (=%gdb) with fmt=bmp\n", psnr);
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ts->set_failed_test_info(ts->FAIL_MISMATCH);
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continue;
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}
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}
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ts->printf(ts->LOG, "end test function : SpecificImageTest \n");
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ts->set_failed_test_info(ts->OK);
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}
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void CV_HighGuiTest::SpecificVideoFileTest(const string& dir, const char codecchars[4])
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{
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const string exts[] = {"avi", "mov", "mpg", "wmv"};
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const size_t n = sizeof(exts)/sizeof(exts[0]);
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int fourcc0 = CV_FOURCC(codecchars[0], codecchars[1], codecchars[2], codecchars[3]);
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for (size_t j = 0; j < n; ++j)
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{
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string ext = exts[j];
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int fourcc = fourcc0;
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if( (ext == "mov" && fourcc != CV_FOURCC('M', 'J', 'P', 'G')) ||
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(ext == "mpg" && fourcc != CV_FOURCC('m', 'p', 'e', 'g')) ||
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(ext == "wmv" && fourcc != CV_FOURCC('M', 'J', 'P', 'G')))
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continue;
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if( ext == "mov" )
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fourcc = CV_FOURCC('m', 'p', '4', 'v');
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string fourcc_str = format("%c%c%c%c", fourcc & 255, (fourcc >> 8) & 255, (fourcc >> 16) & 255, (fourcc >> 24) & 255);
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const string video_file = "video_" + fourcc_str + "." + ext;
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Size frame_size(968 & -2, 757 & -2);
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//Size frame_size(968 & -16, 757 & -16);
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//Size frame_size(640, 480);
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VideoWriter writer(video_file, fourcc, 25, frame_size, true);
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if (!writer.isOpened())
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{
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VideoWriter writer(video_file, fourcc, 25, frame_size, true);
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ts->printf(ts->LOG, "Creating a video in %s...\n", video_file.c_str());
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ts->printf(ts->LOG, "Cannot create VideoWriter object with codec %s.\n", fourcc_str.c_str());
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ts->set_failed_test_info(ts->FAIL_MISMATCH);
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continue;
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}
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const size_t IMAGE_COUNT = 30;
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for(size_t i = 0; i < IMAGE_COUNT; ++i)
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{
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stringstream s_digit;
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if (i < 10) {s_digit << "0"; s_digit << i;}
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else s_digit << i;
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const string file_path = dir+"../python/images/QCIF_"+s_digit.str()+".bmp";
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cv::Mat img = imread(file_path, CV_LOAD_IMAGE_COLOR);
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if (img.empty())
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{
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ts->printf(ts->LOG, "Creating a video in %s...\n", video_file.c_str());
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ts->printf(ts->LOG, "Error: cannot read frame from %s.\n", (ts->get_data_path()+"../python/images/QCIF_"+s_digit.str()+".bmp").c_str());
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ts->printf(ts->LOG, "Continue creating the video file...\n");
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ts->set_failed_test_info(ts->FAIL_INVALID_TEST_DATA);
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break;//continue;
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}
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cv::resize(img, img, frame_size, 0.0, 0.0, cv::INTER_CUBIC);
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for (int k = 0; k < img.rows; ++k)
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for (int l = 0; l < img.cols; ++l)
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if (img.at<Vec3b>(k, l) == Vec3b::all(0))
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img.at<Vec3b>(k, l) = Vec3b(0, 255, 0);
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else img.at<Vec3b>(k, l) = Vec3b(0, 0, 255);
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imwrite("QCIF_"+s_digit.str()+".bmp", img);
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writer << img;
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}
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writer.release();
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cv::VideoCapture cap(video_file);
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size_t FRAME_COUNT = (size_t)cap.get(CV_CAP_PROP_FRAME_COUNT);
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if (FRAME_COUNT != IMAGE_COUNT && ext != "mpg" )
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{
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ts->printf(ts->LOG, "\nFrame count checking for video_%s.%s...\n", fourcc_str.c_str(), ext.c_str());
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ts->printf(ts->LOG, "Video codec: %s\n", fourcc_str.c_str());
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ts->printf(ts->LOG, "Required frame count: %d; Returned frame count: %d\n", IMAGE_COUNT, FRAME_COUNT);
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ts->printf(ts->LOG, "Error: Incorrect frame count in the video.\n");
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ts->printf(ts->LOG, "Continue checking...\n");
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ts->set_failed_test_info(ts->FAIL_BAD_ACCURACY);
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}
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//cap.set(CV_CAP_PROP_POS_FRAMES, -1);
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for (int i = 0; i < (int)std::min<size_t>(FRAME_COUNT, IMAGE_COUNT)-1; i++)
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{
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cv::Mat frame; cap >> frame;
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if (frame.empty())
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{
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ts->printf(ts->LOG, "\nVideo file directory: %s\n", ".");
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ts->printf(ts->LOG, "File name: video_%s.%s\n", fourcc_str.c_str(), ext.c_str());
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ts->printf(ts->LOG, "Video codec: %s\n", fourcc_str.c_str());
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ts->printf(ts->LOG, "Error: cannot read the next frame with index %d.\n", i+1);
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ts->set_failed_test_info(ts->FAIL_MISSING_TEST_DATA);
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break;
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}
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stringstream s_digit;
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if (i+1 < 10) {s_digit << "0"; s_digit << i+1;}
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else s_digit << i+1;
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cv::Mat img = imread("QCIF_"+s_digit.str()+".bmp", CV_LOAD_IMAGE_COLOR);
|
|
|
|
if (img.empty())
|
|
{
|
|
ts->printf(ts->LOG, "\nError: cannot read an image from %s.\n", ("QCIF_"+s_digit.str()+".bmp").c_str());
|
|
ts->set_failed_test_info(ts->FAIL_MISMATCH);
|
|
continue;
|
|
}
|
|
|
|
const double thresDbell = 40;
|
|
|
|
double psnr = PSNR(img, frame);
|
|
|
|
if (psnr > thresDbell)
|
|
{
|
|
ts->printf(ts->LOG, "\nReading frame from the file video_%s.%s...\n", fourcc_str.c_str(), ext.c_str());
|
|
ts->printf(ts->LOG, "Frame index: %d\n", i+1);
|
|
ts->printf(ts->LOG, "Difference between saved and original images: %g\n", psnr);
|
|
ts->printf(ts->LOG, "Maximum allowed difference: %g\n", thresDbell);
|
|
ts->printf(ts->LOG, "Error: too big difference between saved and original images.\n");
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
void CV_HighGuiTest::SpecificVideoCameraTest(const string& dir, const char codecchars[4])
|
|
{
|
|
const string ext[] = {"avi", "mov", "mp4", "mpg", "wmv"};
|
|
|
|
const size_t n = sizeof(ext)/sizeof(ext[0]);
|
|
|
|
const int IMAGE_COUNT = 125;
|
|
|
|
cv::VideoCapture cap(0);
|
|
|
|
if (!cap.isOpened())
|
|
{
|
|
ts->printf(ts->LOG, "\nError: cannot start working with device.\n");
|
|
ts->set_failed_test_info(ts->OK);
|
|
return;
|
|
}
|
|
|
|
for (size_t i = 0; i < n; ++i)
|
|
if ((ext[i]!="mp4")||(string(&codecchars[0], 4)!="IYUV"))
|
|
#if defined WIN32 || defined _WIN32
|
|
if (((ext[i]!="mov")||(string(&codecchars[0], 4)=="XVID"))&&(ext[i]!="mp4"))
|
|
#endif
|
|
{
|
|
Mat frame; int framecount = 0;
|
|
cv::VideoWriter writer;
|
|
|
|
std::vector <cv::Mat> tmp_img(IMAGE_COUNT);
|
|
|
|
writer.open("video_"+string(&codecchars[0], 4)+"."+ext[i], CV_FOURCC(codecchars[0], codecchars[1], codecchars[2], codecchars[3]), 25, Size(968, 757), true);
|
|
|
|
if (!writer.isOpened())
|
|
{
|
|
ts->printf(ts->LOG, "\nVideo file directory: %s\n", ".");
|
|
ts->printf(ts->LOG, "Video codec: %s\n", std::string(&codecchars[0], 4).c_str());
|
|
ts->printf(ts->LOG, "Error: cannot create VideoWriter object for video_%s.%s.\n", string(&codecchars[0]).c_str(), ext[i].c_str());
|
|
ts->set_failed_test_info(ts->FAIL_EXCEPTION);
|
|
continue;
|
|
}
|
|
|
|
for (;;)
|
|
{
|
|
cap >> frame;
|
|
|
|
if (frame.empty())
|
|
{
|
|
ts->printf(ts->LOG, "\nVideo file directory: %s\n", ".");
|
|
ts->printf(ts->LOG, "File name: video_%s.%s\n", string(&codecchars[0], 4).c_str(), ext[i].c_str());
|
|
ts->printf(ts->LOG, "Video codec: %s\n", string(&codecchars[0], 4).c_str());
|
|
ts->printf(ts->LOG, "Error: cannot read next frame with index %d from the device.\n", framecount);
|
|
break;
|
|
}
|
|
|
|
cv::resize(frame, frame, Size(968, 757), 0, 0, INTER_CUBIC);
|
|
writer << frame; tmp_img[framecount] = frame;
|
|
|
|
framecount++;
|
|
if (framecount == IMAGE_COUNT) break;
|
|
}
|
|
|
|
cv::VideoCapture vcap(dir+"video_"+string(&codecchars[0], 4)+"."+ext[i]);
|
|
|
|
if (!vcap.isOpened())
|
|
{
|
|
ts->printf(ts->LOG, "\nVideo file directory: %s\n", ".");
|
|
ts->printf(ts->LOG, "File name: video_%s.%s\n", string(&codecchars[0], 4).c_str(), ext[i].c_str());
|
|
ts->printf(ts->LOG, "Video codec: %s\n", string(&codecchars[0], 4).c_str());
|
|
ts->printf(ts->LOG, "Error: cannot open video file.\n");
|
|
continue;
|
|
}
|
|
|
|
int FRAME_COUNT = (int)vcap.get(CV_CAP_PROP_FRAME_COUNT);
|
|
|
|
if (FRAME_COUNT != IMAGE_COUNT)
|
|
{
|
|
ts->printf(ts->LOG, "\nChecking frame count...\n");
|
|
ts->printf(ts->LOG, "Video file directory: %s\n", ".");
|
|
ts->printf(ts->LOG, "File name: video_%s.%s\n", string(&codecchars[0], 4).c_str(), ext[i].c_str());
|
|
ts->printf(ts->LOG, "Video codec: %s\n", string(&codecchars[0], 4).c_str());
|
|
ts->printf(ts->LOG, "Required frame count: %d Returned frame count: %d\n", IMAGE_COUNT, FRAME_COUNT);
|
|
ts->printf(ts->LOG, "Error: required and returned frame count are not matched.\n");
|
|
ts->printf(ts->LOG, "Continue checking...\n");
|
|
ts->set_failed_test_info(ts->FAIL_INVALID_OUTPUT);
|
|
}
|
|
|
|
cv::Mat img; framecount = 0;
|
|
vcap.set(CV_CAP_PROP_POS_FRAMES, 0);
|
|
|
|
for ( ; framecount < std::min<int>(FRAME_COUNT, IMAGE_COUNT); framecount++ )
|
|
{
|
|
vcap >> img;
|
|
|
|
if (img.empty())
|
|
{
|
|
ts->printf(ts->LOG, "\nVideo file directory: %s\n", ".");
|
|
ts->printf(ts->LOG, "File name: video_%s.%s\n", string(&codecchars[0], 4).c_str(), ext[i].c_str());
|
|
ts->printf(ts->LOG, "Video codec: %s\n", string(&codecchars[0], 4).c_str());
|
|
ts->printf(ts->LOG, "Error: cannot read frame with index %d from the video.\n", framecount);
|
|
break;
|
|
}
|
|
|
|
const double thresDbell = 20;
|
|
double psnr = PSNR(img, tmp_img[framecount]);
|
|
|
|
if (psnr > thresDbell)
|
|
{
|
|
ts->printf(ts->LOG, "\nReading frame from the file video_%s.%s...\n", string(&codecchars[0], 4).c_str(), ext[i].c_str());
|
|
ts->printf(ts->LOG, "Frame index: %d\n", framecount);
|
|
ts->printf(ts->LOG, "Difference between saved and original images: %g\n", psnr);
|
|
ts->printf(ts->LOG, "Maximum allowed difference: %g\n", thresDbell);
|
|
ts->printf(ts->LOG, "Error: too big difference between saved and original images.\n");
|
|
continue;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
void CV_ImageTest::run(int)
|
|
{
|
|
ImageTest(ts->get_data_path());
|
|
}
|
|
|
|
void CV_SpecificImageTest::run(int)
|
|
{
|
|
SpecificImageTest(ts->get_data_path());
|
|
}
|
|
|
|
void CV_VideoTest::run(int)
|
|
{
|
|
const char codecs[][4] = { {'I', 'Y', 'U', 'V'},
|
|
{'X', 'V', 'I', 'D'},
|
|
{'m', 'p', 'e', 'g'},
|
|
{'M', 'J', 'P', 'G'} };
|
|
|
|
printf("%s", ts->get_data_path().c_str());
|
|
|
|
int count = sizeof(codecs)/(4*sizeof(char));
|
|
|
|
for (int i = 0; i < count; ++i)
|
|
{
|
|
VideoTest(ts->get_data_path(), CV_FOURCC(codecs[i][0], codecs[i][1], codecs[i][2], codecs[i][3]));
|
|
}
|
|
}
|
|
|
|
void CV_SpecificVideoFileTest::run(int)
|
|
{
|
|
const char codecs[][4] = { {'m', 'p', 'e', 'g'},
|
|
{'X', 'V', 'I', 'D'},
|
|
{'M', 'J', 'P', 'G'},
|
|
{'I', 'Y', 'U', 'V'} };
|
|
|
|
int count = sizeof(codecs)/(4*sizeof(char));
|
|
|
|
for (int i = 0; i < count; ++i)
|
|
{
|
|
SpecificVideoFileTest(ts->get_data_path(), codecs[i]);
|
|
}
|
|
}
|
|
|
|
void CV_SpecificVideoCameraTest::run(int)
|
|
{
|
|
const char codecs[][4] = { {'m', 'p', 'e', 'g'},
|
|
{'X', 'V', 'I', 'D'},
|
|
{'M', 'J', 'P', 'G'},
|
|
{'I', 'Y', 'U', 'V'} };
|
|
|
|
int count = sizeof(codecs)/(4*sizeof(char));
|
|
|
|
for (int i = 0; i < count; ++i)
|
|
{
|
|
SpecificVideoCameraTest(ts->get_data_path(), codecs[i]);
|
|
}
|
|
}
|
|
|
|
#ifdef HAVE_JPEG
|
|
TEST(Highgui_Image, regression) { CV_ImageTest test; test.safe_run(); }
|
|
#endif
|
|
|
|
#if BUILD_WITH_VIDEO_INPUT_SUPPORT && BUILD_WITH_VIDEO_OUTPUT_SUPPORT
|
|
TEST(Highgui_Video, regression) { CV_VideoTest test; test.safe_run(); }
|
|
TEST(Highgui_SpecificVideoFile, regression) { CV_SpecificVideoFileTest test; test.safe_run(); }
|
|
#endif
|
|
|
|
#if BUILD_WITH_VIDEO_INPUT_SUPPORT && BUILD_WITH_VIDEO_OUTPUT_SUPPORT && BUILD_WITH_CAMERA_SUPPORT
|
|
TEST(Highgui_SpecificVideoCamera, regression) { CV_SpecificVideoCameraTest test; test.safe_run(); }
|
|
#endif
|
|
|
|
TEST(Highgui_SpecificImage, regression) { CV_SpecificImageTest test; test.safe_run(); }
|