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Added new video posiitioning test
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modules/highgui/test/test_video_pos.cpp
Executable file
167
modules/highgui/test/test_video_pos.cpp
Executable file
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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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// This software is provided by the copyright holders and contributors "as is" and
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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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// 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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