/*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; enum NAVIGATION_METHOD {PROGRESSIVE, RANDOM}; class CV_VideoPositioningTest: public cvtest::BaseTest { public: CV_VideoPositioningTest(); ~CV_VideoPositioningTest(); virtual void run(int) = 0; protected: vector idx; void run_test(int method); private: void generate_idx_seq(CvCapture *cap, int method); }; class CV_VideoProgressivePositioningTest: public CV_VideoPositioningTest { public: CV_VideoProgressivePositioningTest() : CV_VideoPositioningTest() {}; ~CV_VideoProgressivePositioningTest(); void run(int); }; class CV_VideoRandomPositioningTest: public CV_VideoPositioningTest { public: CV_VideoRandomPositioningTest(): CV_VideoPositioningTest() {}; ~CV_VideoRandomPositioningTest(); void run(int); }; CV_VideoPositioningTest::CV_VideoPositioningTest() {} CV_VideoPositioningTest::~CV_VideoPositioningTest() {} CV_VideoProgressivePositioningTest::~CV_VideoProgressivePositioningTest() {} CV_VideoRandomPositioningTest::~CV_VideoRandomPositioningTest() {} void CV_VideoPositioningTest::generate_idx_seq(CvCapture* cap, int method) { idx.clear(); int N = (int)cvGetCaptureProperty(cap, CV_CAP_PROP_FRAME_COUNT); switch(method) { case PROGRESSIVE: { int pos = 1, step = 20; do { idx.push_back(pos); pos += step; } while (pos <= N); break; } case RANDOM: { RNG rng(N); idx.clear(); for( int i = 0; i < N-1; i++ ) idx.push_back(rng.uniform(0, N)); idx.push_back(N-1); std::swap(idx.at(rng.uniform(0, N-1)), idx.at(N-1)); break; } default:break; } } void CV_VideoPositioningTest::run_test(int method) { const string& src_dir = ts->get_data_path(); ts->printf(cvtest::TS::LOG, "\n\nSource files directory: %s\n", (src_dir+"video/").c_str()); const string ext[] = {"mov", "avi", "mp4", "mpg", "wmv"}; size_t n = sizeof(ext)/sizeof(ext[0]); int failed_videos = 0; for (size_t i = 0; i < n; ++i) { 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_videos++; continue; } cvSetCaptureProperty(cap, CV_CAP_PROP_POS_FRAMES, 0); generate_idx_seq(cap, method); int N = idx.size(), failed_frames = 0, failed_positions = 0, failed_iterations = 0; for (int j = 0; j < N; ++j) { bool flag = false; cvSetCaptureProperty(cap, CV_CAP_PROP_POS_FRAMES, idx.at(j)); IplImage* frame = cvRetrieveFrame(cap); if (!frame) { if (!failed_frames) { ts->printf(cvtest::TS::LOG, "\nFile information (video %d): \n\nName: big_buck_bunny.%s\n", i+1, ext[i].c_str()); } failed_frames++; ts->printf(cvtest::TS::LOG, "\nIteration: %d\n\nError: cannot read a frame with index %d.\n", j, idx.at(j)); ts->set_failed_test_info(cvtest::TS::FAIL_EXCEPTION); flag = !flag; } int val = (int)cvGetCaptureProperty(cap, CV_CAP_PROP_POS_FRAMES); if (idx.at(j) != val) { if (!(failed_frames||failed_positions)) { ts->printf(cvtest::TS::LOG, "\nFile information (video %d): \n\nName: big_buck_bunny.%s\n", i+1, ext[i].c_str()); } failed_positions++; if (!failed_frames) { ts->printf(cvtest::TS::LOG, "\nIteration: %d\n", j); } ts->printf(cvtest::TS::LOG, "Required pos: %d\nReturned pos: %d\n", idx.at(j), val); ts->printf(cvtest::TS::LOG, "Error: required and returned positions are not matched.\n"); ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT); if (!flag) flag = !flag; } if (flag) failed_iterations++; } ts->printf(cvtest::TS::LOG, "\nSuccessfull iterations: %d (%d%%)\n", idx.size()-failed_iterations, 100*(idx.size()-failed_iterations)/idx.size()); ts->printf(cvtest::TS::LOG, "Failed iterations: %d (%d%%)\n", failed_iterations, 100*failed_iterations/idx.size()); if (failed_frames||failed_positions) { ts->printf(cvtest::TS::LOG, "\nFAILED\n----------\n"); failed_videos++; } cvReleaseCapture(&cap); } ts->printf(cvtest::TS::LOG, "\nSuccessfull experiments: %d (%d%%)\n", n-failed_videos, 100*(n-failed_videos)/n); ts->printf(cvtest::TS::LOG, "Failed experiments: %d (%d%%)\n", failed_videos, 100*failed_videos/n); } void CV_VideoProgressivePositioningTest::run(int) { run_test(PROGRESSIVE); } void CV_VideoRandomPositioningTest::run(int) { run_test(RANDOM); } TEST (HighguiPositioning, progressive) { CV_VideoProgressivePositioningTest test; test.safe_run(); } TEST (HighguiPositioning, random) { CV_VideoRandomPositioningTest test; test.safe_run(); }