/*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 "opencv2/highgui/highgui.hpp" #include using namespace cv; using namespace std; class CV_FramecountTest: public cvtest::BaseTest { public: void run(int); }; void CV_FramecountTest::run(int) { #if defined WIN32 || (defined __linux__ && !defined ANDROID) #if !defined HAVE_GSTREAMER || defined HAVE_GSTREAMER_APP const int time_sec = 5, fps = 25; const string ext[] = {"avi", "mov", "mp4", "mpg", "wmv"}; const size_t n = sizeof(ext)/sizeof(ext[0]); const string src_dir = ts->get_data_path(); ts->printf(cvtest::TS::LOG, "\n\nSource files directory: %s\n", (src_dir+"video/").c_str()); int failed = 0; for (size_t i = 0; i < n; ++i) { int code = cvtest::TS::OK; string file_path = src_dir+"video/big_buck_bunny."+ext[i]; printf("\nReading video file in %s...\n", file_path.c_str()); CvCapture *cap = cvCreateFileCapture(file_path.c_str()); if (!cap) { ts->printf(cvtest::TS::LOG, "\nFile information (video %d): \n\nName: big_buck_bunny.%s\nFAILED\n\n", i+1, ext[i].c_str()); ts->printf(cvtest::TS::LOG, "Error: cannot read source video file.\n"); ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA); failed++; continue; } cvSetCaptureProperty(cap, CV_CAP_PROP_POS_FRAMES, 0); IplImage* frame; int FrameCount = -1; do { FrameCount++; frame = cvQueryFrame(cap); } while (frame); int framecount = (int)cvGetCaptureProperty(cap, CV_CAP_PROP_FRAME_COUNT); ts->printf(cvtest::TS::LOG, "\nFile information (video %d): \n"\ "\nName: big_buck_bunny.%s\nActual frame count: %d\n"\ "Frame count computed in the cycle of queries of frames: %d\n"\ "Frame count returned by cvGetCaptureProperty function: %d\n", i+1, ext[i].c_str(), time_sec*fps, FrameCount, framecount); code = FrameCount != time_sec*fps ? cvtest::TS::FAIL_INVALID_OUTPUT : FrameCount != framecount ? cvtest::TS::FAIL_INVALID_OUTPUT : code; if (code) { ts->printf(cvtest::TS::LOG, "FAILED\n"); ts->printf(cvtest::TS::LOG, "\nError: actual frame count and returned frame count are not matched.\n"); ts->set_failed_test_info(code); failed++; } else { ts->printf(cvtest::TS::LOG, "OK\n"); ts->set_failed_test_info(ts->OK); } cvReleaseImage(&frame); cvReleaseCapture(&cap); } ts->printf(cvtest::TS::LOG, "\nSuccessfull experiments: %d (%d%%)\n", n-failed, (n - failed)*100/n); ts->printf(cvtest::TS::LOG, "Failed experiments: %d (%d%%)\n", failed, failed*100/n); #endif #endif } TEST(HighguiFramecount, regression) {CV_FramecountTest test; test.safe_run();}