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