merged 2.4 into trunk

This commit is contained in:
Vadim Pisarevsky
2012-04-30 14:33:52 +00:00
parent 3f1c6d7357
commit d5a0088bbe
194 changed files with 10158 additions and 8225 deletions

View File

@@ -1,229 +1,180 @@
/*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, 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)
{
#if defined WIN32 || (defined __linux__ && !defined ANDROID) || (defined __APPLE__ && defined HAVE_FFMPEG)
#if !defined HAVE_GSTREAMER || defined HAVE_GSTREAMER_APP
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)
{
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----------");
}
#endif
#endif
}
TEST(Highgui_Positioning, regression) { CV_PositioningTest test; test.safe_run(); }
#endif
/*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"
using namespace cv;
using namespace std;
class CV_PositioningTest : public cvtest::BaseTest
{
public:
CV_PositioningTest()
{
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, "\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;
}
int idx1 = (int)cap.get(CV_CAP_PROP_POS_FRAMES);
Mat img; cap >> img;
Mat img0 = drawFrame(idx);
if( idx != idx1 )
{
ts->printf(ts->LOG, "\nError: the current position (%d) after seek is different from specified (%d)\n",
idx1, idx);
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;
}
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;
}
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_Video, seek_random_synthetic) { CV_PositioningTest test; test.safe_run(); }
#endif