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