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Open Source Computer Vision Library
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255 lines
7.4 KiB
255 lines
7.4 KiB
/*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 ImagesTest(const string& dir); |
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void VideoTest (const string& dir, int fourcc); |
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public: |
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void run(int); |
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}; |
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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::ImagesTest(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[] = {"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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string ext = exts[i]; |
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string full_name = dir + "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 = dir + "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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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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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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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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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::run( int /*start_from */) |
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{ |
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ImagesTest(ts->get_data_path()); |
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#if defined WIN32 || (defined __linux__ && !defined ANDROID) |
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#if !defined HAVE_GSTREAMER || defined HAVE_GSTREAMER_APP |
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VideoTest(ts->get_data_path(), CV_FOURCC_DEFAULT); |
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VideoTest(ts->get_data_path(), CV_FOURCC('X', 'V', 'I', 'D')); |
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VideoTest(ts->get_data_path(), CV_FOURCC('M', 'P', 'G', '2')); |
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VideoTest(ts->get_data_path(), CV_FOURCC('M', 'J', 'P', 'G')); |
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#endif |
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#endif |
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} |
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TEST(Highgui_HighGui, regression) { CV_HighGuiTest test; test.safe_run(); }
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