/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "test_precomp.hpp" #include #include #include #include using namespace cv; using namespace std; #if defined WIN32 || defined _WIN32 //#if 0 #else #define MARKERS1 #ifdef MARKERS #define marker(x) cout << (x) << endl #else #define marker(x) #endif struct TempDirHolder { string temp_folder; TempDirHolder() { char* p = tmpnam(0); if(p[0] == '\\') p++; temp_folder = string(p); exec_cmd("mkdir " + temp_folder); } ~TempDirHolder() { exec_cmd("rm -rf " + temp_folder); } static void exec_cmd(const string& cmd) { marker(cmd); int res = system( cmd.c_str() ); (void)res; } TempDirHolder& operator=(const TempDirHolder&); }; class CV_HighGuiTest : public CvTest { public: CV_HighGuiTest(); ~CV_HighGuiTest(); protected: void run(int); bool ImagesTest(const string& dir, const string& tmp); bool VideoTest(const string& dir, const string& tmp, int fourcc); bool GuiTest(const string& dir, const string& tmp); }; CV_HighGuiTest::CV_HighGuiTest(): CvTest( "z-highgui", "?" ) { support_testing_modes = CvTS::CORRECTNESS_CHECK_MODE; } CV_HighGuiTest::~CV_HighGuiTest() {} double PSNR(const Mat& m1, const Mat& m2) { Mat tmp; absdiff( m1.reshape(1), m2.reshape(1), tmp); multiply(tmp, tmp, tmp); double MSE = 1.0/(tmp.cols * tmp.rows) * sum(tmp)[0]; return 20 * log10(255.0 / sqrt(MSE)); } bool CV_HighGuiTest::ImagesTest(const string& dir, const string& tmp) { int code = CvTS::OK; Mat image = imread(dir + "shared/baboon.jpg"); if (image.empty()) { ts->set_failed_test_info(CvTS::FAIL_MISSING_TEST_DATA); return false; } const string exts[] = {"png", "bmp", "tiff", "jpg", "jp2", "ppm", "ras"}; const size_t ext_num = sizeof(exts)/sizeof(exts[0]); for(size_t i = 0; i < ext_num; ++i) { ts->printf(CvTS::LOG, "ext=%s\n", exts[i].c_str()); string ext = exts[i]; string full_name = tmp + "/img." + ext; marker(exts[i]); imwrite(full_name, image); Mat loaded = imread(full_name); if (loaded.empty()) { ts->printf(CvTS::LOG, "Reading failed at fmt=%s\n", ext.c_str()); code = CvTS::FAIL_MISMATCH; continue; } const double thresDbell = 20; double psnr = PSNR(loaded, image); if (psnr < thresDbell) { ts->printf(CvTS::LOG, "Reading image from file: too big difference (=%g) with fmt=%s\n", psnr, ext.c_str()); code = CvTS::FAIL_BAD_ACCURACY; continue; } FILE *f = fopen(full_name.c_str(), "rb"); fseek(f, 0, SEEK_END); size_t len = ftell(f); vector from_file(len); fseek(f, 0, SEEK_SET); size_t read = fread(&from_file[0], len, sizeof(vector::value_type), f); (void)read; fclose(f); vector buf; imencode("." + exts[i], image, buf); if (buf != from_file) { ts->printf(CvTS::LOG, "Encoding failed with fmt=%s\n", ext.c_str()); code = CvTS::FAIL_MISMATCH; continue; } Mat buf_loaded = imdecode(Mat(buf), 1); if (buf_loaded.empty()) { ts->printf(CvTS::LOG, "Decoding failed with fmt=%s\n", ext.c_str()); code = CvTS::FAIL_MISMATCH; continue; } psnr = PSNR(buf_loaded, image); if (psnr < thresDbell) { ts->printf(CvTS::LOG, "Decoding image from memory: too small PSNR (=%gdb) with fmt=%s\n", psnr, ext.c_str()); code = CvTS::FAIL_MISMATCH; continue; } } ts->set_failed_test_info(code); return code == CvTS::OK; } bool CV_HighGuiTest::VideoTest(const string& dir, const string& tmp, int fourcc) { string src_file = dir + "shared/video_for_test.avi"; string tmp_name = tmp + "/video.avi"; CvCapture* cap = cvCaptureFromFile(src_file.c_str()); if (!cap) { ts->set_failed_test_info(CvTS::FAIL_MISMATCH); return false; } CvVideoWriter* writer = 0; int counter = 0; for(;;) { IplImage* img = cvQueryFrame( cap ); if (!img) break; if (writer == 0) { writer = cvCreateVideoWriter(tmp_name.c_str(), fourcc, 24, cvGetSize(img)); if (writer == 0) { marker("can't craete writer"); cvReleaseCapture( &cap ); ts->set_failed_test_info(CvTS::FAIL_MISMATCH); return false; } } cvWriteFrame(writer, img); } cvReleaseVideoWriter( &writer ); cvReleaseCapture( &cap ); marker("mid++"); cap = cvCaptureFromFile(src_file.c_str()); marker("mid1"); CvCapture *saved = cvCaptureFromFile(tmp_name.c_str()); if (!saved) { ts->set_failed_test_info(CvTS::FAIL_MISMATCH); return false; } const double thresDbell = 20; bool error = false; counter = 0; for(;;) { IplImage* ipl = cvQueryFrame( cap ); IplImage* ipl1 = cvQueryFrame( saved ); if (!ipl || !ipl1) break; Mat img(ipl); Mat img1(ipl1); if (PSNR(img1, img) < thresDbell) { error = true; break; } } cvReleaseCapture( &cap ); cvReleaseCapture( &saved ); if (error) { ts->set_failed_test_info(CvTS::FAIL_MISMATCH); return false; } return true; } void CV_HighGuiTest::run( int /*start_from */) { TempDirHolder th; if (!ImagesTest(ts->get_data_path(), th.temp_folder)) return; #if defined WIN32 || defined __linux__ #if !defined HAVE_GSTREAMER || defined HAVE_GSTREAMER_APP if (!VideoTest(ts->get_data_path(), th.temp_folder, CV_FOURCC_DEFAULT)) return; if (!VideoTest(ts->get_data_path(), th.temp_folder, CV_FOURCC('M', 'J', 'P', 'G'))) return; if (!VideoTest(ts->get_data_path(), th.temp_folder, CV_FOURCC('M', 'P', 'G', '2'))) return; #endif //if (!VideoTest(ts->get_data_path(), th.temp_folder, CV_FOURCC('D', 'X', '5', '0'))) return; #endif ts->set_failed_test_info(CvTS::OK); } CV_HighGuiTest HighGui_test; #endif