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added PSNR function to imgproc; refactored highgui positioning test (which still fails)

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This commit is contained in:
Vadim Pisarevsky 2012-04-25 14:31:54 +00:00
parent bd49b9b8aa
commit fb292b1b27
5 changed files with 201 additions and 239 deletions
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14
modules/highgui/test/test_precomp.hpp
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@ -61,7 +61,19 @@ namespace cvtest
{
string fourccToString(int fourcc);
struct VideoFormat
{
VideoFormat() { fourcc = -1; }
VideoFormat(const string& _ext, int _fourcc) : ext(_ext), fourcc(_fourcc) {}
bool empty() const { return ext.empty(); }
string ext;
int fourcc;
};
extern const VideoFormat g_specific_fmt_list[];
}
#endif

63
modules/highgui/test/test_video_io.cpp
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@ -46,38 +46,33 @@
using namespace cv;
using namespace std;
string cvtest::fourccToString(int fourcc)
namespace cvtest
{
string fourccToString(int fourcc)
{
return format("%c%c%c%c", fourcc & 255, (fourcc >> 8) & 255, (fourcc >> 16) & 255, (fourcc >> 24) & 255);
}
struct VideoFmt
{
VideoFmt() { fourcc = -1; }
VideoFmt(const string& _ext, int _fourcc) : ext(_ext), fourcc(_fourcc) {}
bool empty() const { return ext.empty(); }
string ext;
int fourcc;
};
static const VideoFmt specific_fmt_list[] =
const VideoFormat g_specific_fmt_list[] =
{
VideoFmt("avi", CV_FOURCC('m', 'p', 'e', 'g')),
VideoFmt("avi", CV_FOURCC('M', 'J', 'P', 'G')),
VideoFmt("avi", CV_FOURCC('I', 'Y', 'U', 'V')),
VideoFmt("mkv", CV_FOURCC('X', 'V', 'I', 'D')),
VideoFmt("mov", CV_FOURCC('m', 'p', '4', 'v')),
VideoFmt()
VideoFormat("avi", CV_FOURCC('m', 'p', 'e', 'g')),
VideoFormat("avi", CV_FOURCC('M', 'J', 'P', 'G')),
VideoFormat("avi", CV_FOURCC('I', 'Y', 'U', 'V')),
VideoFormat("mkv", CV_FOURCC('X', 'V', 'I', 'D')),
VideoFormat("mov", CV_FOURCC('m', 'p', '4', 'v')),
VideoFormat()
};
}
class CV_HighGuiTest : public cvtest::BaseTest
{
protected:
void ImageTest(const string& dir);
void VideoTest (const string& dir, const VideoFmt& fmt);
void VideoTest (const string& dir, const cvtest::VideoFormat& fmt);
void SpecificImageTest (const string& dir);
void SpecificVideoTest (const string& dir, const VideoFmt& fmt);
void SpecificVideoTest (const string& dir, const cvtest::VideoFormat& fmt);
CV_HighGuiTest() {}
~CV_HighGuiTest() {}
@ -116,16 +111,6 @@ public:
void run(int);
};
double PSNR(const Mat& m1, const Mat& m2)
{
Mat tmp;
absdiff( m1.reshape(1), m2.reshape(1), tmp);
multiply(tmp, tmp, tmp);
double MSE = 1.0/(tmp.cols * tmp.rows) * sum(tmp)[0];
return 20 * log10(255.0 / sqrt(MSE));
}
void CV_HighGuiTest::ImageTest(const string& dir)
{
@ -233,7 +218,7 @@ void CV_HighGuiTest::ImageTest(const string& dir)
}
void CV_HighGuiTest::VideoTest(const string& dir, const VideoFmt& fmt)
void CV_HighGuiTest::VideoTest(const string& dir, const cvtest::VideoFormat& fmt)
{
string src_file = dir + "../cv/shared/video_for_test.avi";
string tmp_name = format("video.%s", fmt.ext.c_str());
@ -397,7 +382,7 @@ void CV_HighGuiTest::SpecificImageTest(const string& dir)
}
void CV_HighGuiTest::SpecificVideoTest(const string& dir, const VideoFmt& fmt)
void CV_HighGuiTest::SpecificVideoTest(const string& dir, const cvtest::VideoFormat& fmt)
{
string ext = fmt.ext;
int fourcc = fmt.fourcc;
@ -505,17 +490,23 @@ void CV_SpecificImageTest::run(int)
void CV_VideoTest::run(int)
{
for (int i = 0; !specific_fmt_list[i].empty(); ++i)
for (int i = 0; ; ++i)
{
VideoTest(ts->get_data_path(), specific_fmt_list[i]);
const cvtest::VideoFormat& fmt = cvtest::g_specific_fmt_list[i];
if( fmt.empty() )
break;
VideoTest(ts->get_data_path(), fmt);
}
}
void CV_SpecificVideoTest::run(int)
{
for (int i = 0; !specific_fmt_list[i].empty(); ++i)
for (int i = 0; ; ++i)
{
SpecificVideoTest(ts->get_data_path(), specific_fmt_list[i]);
const cvtest::VideoFormat& fmt = cvtest::g_specific_fmt_list[i];
if( fmt.empty() )
break;
SpecificVideoTest(ts->get_data_path(), fmt);
}
}

351
modules/highgui/test/test_video_pos.cpp
View File

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

3
modules/imgproc/include/opencv2/imgproc/imgproc.hpp
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@ -597,6 +597,9 @@ CV_EXPORTS_W void accumulateProduct( InputArray src1, InputArray src2,
CV_EXPORTS_W void accumulateWeighted( InputArray src, InputOutputArray dst,
double alpha, InputArray mask=noArray() );
//! computes PSNR image/video quality metric
CV_EXPORTS_W double PSNR(InputArray src1, InputArray src2);
CV_EXPORTS_W Point2d phaseCorrelate(InputArray src1, InputArray src2, InputArray window = noArray());
CV_EXPORTS_W void createHanningWindow(OutputArray dst, Size winSize, int type);

9
modules/imgproc/src/utils.cpp
View File

@ -245,6 +245,15 @@ void cv::copyMakeBorder( InputArray _src, OutputArray _dst, int top, int bottom,
}
double cv::PSNR(InputArray _src1, InputArray _src2)
{
Mat src1 = _src1.getMat(), src2 = _src2.getMat();
CV_Assert( src1.depth() == CV_8U );
double diff = std::sqrt(norm(src1, src2, NORM_L2SQR)/(src1.total()*src1.channels()));
return 20*log10(255./(diff+DBL_EPSILON));
}
CV_IMPL void
cvCopyMakeBorder( const CvArr* srcarr, CvArr* dstarr, CvPoint offset,
int borderType, CvScalar value )