Open Source Computer Vision Library
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167 lines
5.0 KiB
167 lines
5.0 KiB
/*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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#ifdef HAVE_FFMPEG |
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#include "ffmpeg_codecs.hpp" |
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using namespace cv; |
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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); |
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void run(int); |
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}; |
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void CV_PositioningTest::CreateTestVideo(const string& format, int codec) |
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{ |
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const size_t frame_count = 2500; |
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stringstream s; s << codec; |
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cv::VideoWriter writer(ts->get_data_path()+"video/test_video_"+s.str()+format, codec, 25, cv::Size(640, 480), false); |
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for (size_t i = 0; i < frame_count; ++i) |
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{ |
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cv::Mat mat(480, 640, CV_8UC1); |
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size_t n = 32, 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(1); |
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vector<char> i_code(n); |
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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(j+tmp_code.size()-n); |
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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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for (size_t k = w*j; k < w*(j+1); ++k) |
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mat.row(k) = i_code[j] ? 255*cv::Mat::ones(1, 640, CV_8UC1) : cv::Mat::zeros(1, 640, CV_8UC1); |
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} |
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writer << mat; |
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//imshow("test image", mat); waitKey(); |
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} |
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writer.~VideoWriter(); |
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} |
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void CV_PositioningTest::run(int) |
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{ |
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const size_t n_codec = sizeof(codec_bmp_tags)/sizeof(codec_bmp_tags[0]); |
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const string format[] = {"avi", "mov", "mp4", "mpg", "wmv"}; |
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const size_t n_format = sizeof(format)/sizeof(format[0]); |
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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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{ |
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CreateTestVideo(format[i], codec_bmp_tags[j].tag); |
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stringstream s; s << codec_bmp_tags[j].tag; |
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cv::VideoCapture cap(ts->get_data_path()+"video/test_video_"+s.str()+format[i]); |
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cap.set(CV_CAP_PROP_POS_FRAMES, 0.0); |
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int N = cap.get(CV_CAP_PROP_FRAME_COUNT); |
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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 i = 0; i < N-1; i++ ) |
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idx.push_back(rng.uniform(0, N)); |
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idx.push_back(N-1); |
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swap(idx.at(rng.uniform(0, N-1)), idx.at(N-1)); |
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for (int i = 0; i < N; ++i) |
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{ |
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cap.set(CV_CAP_PROP_POS_FRAMES, (double)idx[i]); |
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cv::Mat img; cap.retrieve(img); |
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const double thresh = 128.0; |
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const size_t n = 32, w = img.rows/n; |
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int index = 0, deg = n-1; |
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for (size_t j = 0; j < n; ++j) |
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{ |
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cv::Mat mat = img.rowRange(w*j, w*(j+1)-1); |
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Scalar mat_mean = cv::mean(mat); |
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if (mat_mean[0] > thresh) |
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{ |
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index += (2<<deg); |
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} |
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deg--; |
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} |
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if (index != idx[i]) |
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{ |
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ts->printf(ts->LOG, "Required position: %d Returned position: %d\n FAILED", idx[i], index); |
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} |
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} |
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} |
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} |
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TEST(Highgui_Positioning, regression) { CV_PositioningTest test; test.safe_run(); } |
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#endif
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