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@ -1,44 +1,44 @@ |
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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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//
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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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@ -49,170 +49,117 @@ using namespace std; |
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class CV_PositioningTest : public cvtest::BaseTest |
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{ |
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public: |
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void CreateTestVideo(const string& format, int codec, int framecount = 125); |
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void run(int); |
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}; |
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void CV_PositioningTest::CreateTestVideo(const string& format, int codec, int framecount) |
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{ |
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stringstream s; s << codec; |
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//if( format == "mov" && codec == CV_FOURCC('m', 'p', 'e', 'g')
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// putchar('$');
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cv::VideoWriter writer("test_video_"+s.str()+"."+format, codec, 25, cv::Size(640, 480), false); |
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for (int i = 0; i < framecount; ++i) |
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{ |
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cv::Mat mat(480, 640, CV_8UC1); |
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size_t n = 8, tmp = i; |
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vector<char> tmp_code; tmp_code.clear(); |
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while ( tmp > 1 ) |
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{ |
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tmp_code.push_back(tmp%2); |
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tmp /= 2; |
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} |
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tmp_code.push_back(tmp); |
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vector<char> i_code; |
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for (size_t j = 0; j < n; ++j) |
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{ |
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char val = j < n - tmp_code.size() ? 0 : tmp_code.at(n-1-j); |
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i_code.push_back(val); |
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} |
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const size_t w = 480/n; |
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for (size_t j = 0; j < n; ++j) |
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{ |
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cv::Scalar color = i_code[j] ? 255 : 0; |
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rectangle(mat, Rect(0, w*j, 640, w), color, -1); |
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} |
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writer << mat; |
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} |
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} |
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void CV_PositioningTest::run(int) |
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{ |
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const string format[] = {"avi", "mov", "mp4", "mpg", "wmv", "3gp"}; |
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const char codec[][4] = { {'X', 'V', 'I', 'D'}, |
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{'m', 'p', 'e', 'g'}, |
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{'M', 'J', 'P', 'G'} }; |
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size_t n_format = sizeof(format)/sizeof(format[0]), |
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n_codec = sizeof(codec)/sizeof(codec[0]); |
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int n_frames = 256; |
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for (size_t i = 0; i < n_format; ++i) |
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for (size_t j = 0; j < n_codec; ++j) |
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CV_PositioningTest() |
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{ |
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CreateTestVideo(format[i], CV_FOURCC(codec[j][0], codec[j][1], codec[j][2], codec[j][3]), n_frames); |
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stringstream s; s << CV_FOURCC(codec[j][0], codec[j][1], codec[j][2], codec[j][3]); //codec_bmp_tags[j].tag;
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const string file_path = "test_video_"+s.str()+"."+format[i]; |
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bool error = false; int failed = 0; |
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cv::VideoCapture cap(file_path); |
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if (!cap.isOpened()) |
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{ |
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ts->printf(ts->LOG, "\n\nFile: %s\n", file_path.c_str()); |
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ts->printf(ts->LOG, "\nVideo codec: %s\n", string(&codec[j][0], 4).c_str()); |
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ts->printf(ts->LOG, "\nError: cannot read video file."); |
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ts->set_failed_test_info(ts->FAIL_INVALID_TEST_DATA); |
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error = true; |
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} |
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cap.set(CV_CAP_PROP_POS_FRAMES, 0); |
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int N = cap.get(CV_CAP_PROP_FRAME_COUNT); |
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if (N != n_frames) |
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{ |
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if (!error) |
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framesize = Size(640, 480); |
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} |
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Mat drawFrame(int i) |
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{ |
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Mat mat = Mat::zeros(framesize, CV_8UC3); |
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mat = Scalar(fabs(cos(i*0.08)*255), fabs(sin(i*0.05)*255), i); |
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putText(mat, format("%03d", i), Point(10, 350), 0, 10, Scalar(128, 255, 255), 15); |
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return mat; |
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} |
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string getFilename(const cvtest::VideoFormat& fmt) |
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{ |
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return format("test_video_%s.%s", cvtest::fourccToString(fmt.fourcc).c_str(), fmt.ext.c_str()); |
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} |
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bool CreateTestVideo(const cvtest::VideoFormat& fmt, int framecount) |
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{ |
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string filename = getFilename(fmt); |
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VideoWriter writer(filename, fmt.fourcc, 25, framesize, true); |
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if( !writer.isOpened() ) |
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return false; |
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for (int i = 0; i < framecount; ++i) |
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{ |
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ts->printf(ts->LOG, "\n\nFile: %s\n", file_path.c_str()); |
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ts->printf(ts->LOG, "\nVideo codec: %s\n", string(&codec[j][0], 4).c_str()); |
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error = true; |
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Mat img = drawFrame(i); |
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writer << img; |
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} |
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ts->printf(ts->LOG, "\nError: returned frame count in clip is incorrect.\n"); |
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ts->set_failed_test_info(ts->FAIL_INVALID_OUTPUT); |
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} |
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vector <int> idx; |
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RNG rng(N); |
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idx.clear(); |
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for( int k = 0; k < N-1; k++ ) |
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idx.push_back(rng.uniform(0, N)); |
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idx.push_back(N-1); |
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std::swap(idx.at(rng.uniform(0, N-1)), idx.at(N-1)); |
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for (int k = 0; k < N; ++k) |
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{ |
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cap.set(CV_CAP_PROP_POS_FRAMES, (double)idx[k]); |
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cv::Mat img; cap.retrieve(img); |
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return true; |
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} |
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if (img.empty()) |
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void run(int) |
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{ |
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int n_frames = 100; |
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for( int testcase = 0; ; testcase++ ) |
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{ |
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if (!error) |
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const cvtest::VideoFormat& fmt = cvtest::g_specific_fmt_list[testcase]; |
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if( fmt.empty() ) |
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break; |
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string filename = getFilename(fmt); |
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ts->printf(ts->LOG, "\n\nFile: %s\n", filename.c_str()); |
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if( !CreateTestVideo(fmt, n_frames) ) |
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{ |
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ts->printf(ts->LOG, "\n\nFile: %s\n", file_path.c_str()); |
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ts->printf(ts->LOG, "\nVideo codec: %s\n", string(&codec[j][0], 4).c_str()); |
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error = true; |
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ts->printf(ts->LOG, "\nError: cannot create video file"); |
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ts->set_failed_test_info(ts->FAIL_INVALID_OUTPUT); |
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return; |
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} |
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ts->printf(ts->LOG, "\nError: cannot read a frame in position %d.\n", idx[k]); |
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ts->set_failed_test_info(ts->FAIL_INVALID_OUTPUT); |
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} |
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const double thresh = 100; |
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const size_t n = 8, w = img.rows/n; |
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int index = 0, deg = n-1; |
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for (size_t l = 0; l < n; ++l) |
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{ |
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cv::Mat mat = img.rowRange(w*l, w*(l+1)-1); |
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Scalar mat_mean = cv::mean(mat); |
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if (mat_mean[0] > thresh) index += (int)std::pow(2.0, 1.0*deg); |
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deg--; |
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} |
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if (index != idx[k]) |
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{ |
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if (!error) |
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VideoCapture cap(filename); |
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if (!cap.isOpened()) |
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{ |
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ts->printf(ts->LOG, "\n\nFile: %s\n", file_path.c_str()); |
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ts->printf(ts->LOG, "\nVideo codec: %s\n\n", string(&codec[j][0], 4).c_str()); |
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error = true; |
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ts->printf(ts->LOG, "\nError: cannot read video file."); |
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ts->set_failed_test_info(ts->FAIL_INVALID_TEST_DATA); |
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return; |
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} |
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int N0 = cap.get(CV_CAP_PROP_FRAME_COUNT); |
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cap.set(CV_CAP_PROP_POS_FRAMES, 0); |
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int N = cap.get(CV_CAP_PROP_FRAME_COUNT); |
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if (N != n_frames || N != N0) |
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{ |
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ts->printf(ts->LOG, "\nError: returned frame count (N0=%d, N=%d) is different from the reference number %d\n", N0, N, n_frames); |
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ts->set_failed_test_info(ts->FAIL_INVALID_OUTPUT); |
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return; |
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} |
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for (int k = 0; k < N; ++k) |
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{ |
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int idx = theRNG().uniform(0, N); |
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if( !cap.set(CV_CAP_PROP_POS_FRAMES, idx) ) |
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{ |
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ts->printf(ts->LOG, "\nError: cannot seek to frame %d.\n", idx); |
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ts->set_failed_test_info(ts->FAIL_INVALID_OUTPUT); |
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return; |
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} |
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Mat img; cap >> img; |
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if (img.empty()) |
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{ |
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ts->printf(ts->LOG, "\nError: cannot read a frame at position %d.\n", idx); |
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ts->set_failed_test_info(ts->FAIL_INVALID_OUTPUT); |
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return; |
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} |
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Mat img0 = drawFrame(idx); |
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double err = PSNR(img, img0); |
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if( err < 20 ) |
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{ |
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ts->printf(ts->LOG, "The frame read after positioning to %d is incorrect (PSNR=%g)\n", idx, err); |
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ts->printf(ts->LOG, "Saving both frames ...\n"); |
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ts->set_failed_test_info(ts->FAIL_INVALID_OUTPUT); |
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imwrite("opencv_test_highgui_postest_actual.png", img); |
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imwrite("opencv_test_highgui_postest_expected.png", img0); |
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return; |
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} |
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} |
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ts->printf(ts->LOG, "Required position: %d Returned position: %d\n", idx[k], index); |
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ts->set_failed_test_info(ts->FAIL_INVALID_OUTPUT); |
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failed++; |
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} |
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} |
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if (!error) { ts->printf(ts->LOG, "\n\nFile: %s\n", file_path.c_str()); |
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ts->printf(ts->LOG, "\nVideo codec: %s\n", string(&codec[j][0], 4).c_str()); } |
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const string status = failed ? "FAILED" : "OK"; |
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ts->printf(ts->LOG, "\nSuccessfull iterations: %d(%d%%) Failed iterations: %d(%d%%) %s\n", N-failed, (N-failed)*100/N, failed, failed*100/N, status.c_str()); |
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if( i < n_format-1 || j < n_codec-1 ) ts->printf(ts->LOG, "\n----------"); |
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} |
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} |
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Size framesize; |
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}; |
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#if BUILD_WITH_VIDEO_INPUT_SUPPORT && BUILD_WITH_VIDEO_OUTPUT_SUPPORT |
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TEST(Highgui_Positioning, regression) { CV_PositioningTest test; test.safe_run(); } |
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