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提交 4168a698 编写于 作者: A Andrey Kamaev
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Fixed highgui tests for Android

上级 54adb3c9
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Showing with 726 addition and 665 deletion
modules/highgui/test/test_ffmpeg.cpp
浏览文件 @ 4168a698
......@@ -43,179 +43,46 @@
#include "test_precomp.hpp"
#include "opencv2/highgui/highgui.hpp"
#ifdef HAVE_FFMPEG
using namespace cv;
using namespace std;
class CV_FFmpegWriteBigImageTest : public cvtest::BaseTest
{
public:
void run(int)
{
try
{
ts->printf(cvtest::TS::LOG, "start reading bit image\n");
Mat img = imread(string(ts->get_data_path()) + "readwrite/read.png");
ts->printf(cvtest::TS::LOG, "finish reading bit image\n");
if (img.empty()) ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
ts->printf(cvtest::TS::LOG, "start writing bit image\n");
imwrite(string(ts->get_data_path()) + "readwrite/write.png", img);
ts->printf(cvtest::TS::LOG, "finish writing bit image\n");
}
catch(...)
{
ts->set_failed_test_info(cvtest::TS::FAIL_EXCEPTION);
}
ts->set_failed_test_info(cvtest::TS::OK);
}
};
class CV_FFmpegWriteBigVideoTest : public cvtest::BaseTest
{
public:
void run(int)
{
const int img_r = 4096;
const int img_c = 4096;
Size frame_s = Size(img_c, img_r);
const double fps = 30;
const double time_sec = 2;
const int coeff = static_cast<int>(static_cast<double>(cv::min(img_c, img_r)) / (fps * time_sec));
Mat img(img_r, img_c, CV_8UC3, Scalar::all(0));
try
{
VideoWriter writer(string(ts->get_data_path()) + "video/output.avi", CV_FOURCC('X', 'V', 'I', 'D'), fps, frame_s);
if (writer.isOpened() == false) ts->set_failed_test_info(cvtest::TS::FAIL_EXCEPTION);
for (int i = 0 ; i < static_cast<int>(fps * time_sec); i++ )
{
//circle(img, Point2i(img_c / 2, img_r / 2), cv::min(img_r, img_c) / 2 * (i + 1), Scalar(255, 0, 0, 0), 2);
rectangle(img, Point2i(coeff * i, coeff * i), Point2i(coeff * (i + 1), coeff * (i + 1)),
Scalar::all(255 * (1.0 - static_cast<double>(i) / (fps * time_sec * 2) )), -1);
writer << img;
}
}
catch(...)
{
ts->set_failed_test_info(cvtest::TS::FAIL_EXCEPTION);
}
ts->set_failed_test_info(cvtest::TS::OK);
}
public:
void run(int)
{
const int img_r = 4096;
const int img_c = 4096;
Size frame_s = Size(img_c, img_r);
const double fps = 30;
const double time_sec = 2;
const int coeff = static_cast<int>(static_cast<double>(cv::min(img_c, img_r)) / (fps * time_sec));
Mat img(img_r, img_c, CV_8UC3, Scalar::all(0));
try
{
VideoWriter writer(string(ts->get_data_path()) + "video/output.avi", CV_FOURCC('X', 'V', 'I', 'D'), fps, frame_s);
if (writer.isOpened() == false) ts->set_failed_test_info(cvtest::TS::FAIL_EXCEPTION);
for (int i = 0 ; i < static_cast<int>(fps * time_sec); i++ )
{
//circle(img, Point2i(img_c / 2, img_r / 2), cv::min(img_r, img_c) / 2 * (i + 1), Scalar(255, 0, 0, 0), 2);
rectangle(img, Point2i(coeff * i, coeff * i), Point2i(coeff * (i + 1), coeff * (i + 1)),
Scalar::all(255 * (1.0 - static_cast<double>(i) / (fps * time_sec * 2) )), -1);
writer << img;
}
}
catch(...)
{
ts->set_failed_test_info(cvtest::TS::FAIL_EXCEPTION);
}
ts->set_failed_test_info(cvtest::TS::OK);
}
};
string ext_from_int(int ext)
{
if (ext == 0) return ".png";
if (ext == 1) return ".bmp";
if (ext == 2) return ".pgm";
if (ext == 3) return ".tiff";
return "";
}
class CV_FFmpegWriteSequenceImageTest : public cvtest::BaseTest
{
public:
void run(int)
{
try
{
const int img_r = 640;
const int img_c = 480;
Size frame_s = Size(img_c, img_r);
for (int k = 1; k <= 5; ++k)
{
for (int ext = 0; ext < 4; ++ext) // 0 - png, 1 - bmp, 2 - pgm, 3 - tiff
for (int num_channels = 1; num_channels <= 3; num_channels+=2)
{
ts->printf(ts->LOG, "image type depth:%d channels:%d ext: %s\n", CV_8U, num_channels, ext_from_int(ext).c_str());
Mat img(img_r * k, img_c * k, CV_MAKETYPE(CV_8U, num_channels), Scalar::all(0));
circle(img, Point2i((img_c * k) / 2, (img_r * k) / 2), cv::min((img_r * k), (img_c * k)) / 4 , Scalar::all(255));
ts->printf(ts->LOG, "writing image : %s\n", string(string(ts->get_data_path()) + "readwrite/test" + ext_from_int(ext)).c_str());
imwrite(string(ts->get_data_path()) + "readwrite/test" + ext_from_int(ext), img);
ts->printf(ts->LOG, "reading test image : %s\n", string(string(ts->get_data_path()) + "readwrite/test" + ext_from_int(ext)).c_str());
Mat img_test = imread(string(ts->get_data_path()) + "readwrite/test" + ext_from_int(ext), CV_LOAD_IMAGE_UNCHANGED);
if (img_test.empty()) ts->set_failed_test_info(ts->FAIL_MISMATCH);
CV_Assert(img.size() == img_test.size());
CV_Assert(img.type() == img_test.type());
double n = norm(img, img_test);
if ( n > 1.0)
{
ts->printf(ts->LOG, "norm = %f \n", n);
ts->set_failed_test_info(ts->FAIL_MISMATCH);
}
}
for (int num_channels = 1; num_channels <= 3; num_channels+=2)
{
// jpeg
ts->printf(ts->LOG, "image type depth:%d channels:%d ext: %s\n", CV_8U, num_channels, ".jpg");
Mat img(img_r * k, img_c * k, CV_MAKETYPE(CV_8U, num_channels), Scalar::all(0));
circle(img, Point2i((img_c * k) / 2, (img_r * k) / 2), cv::min((img_r * k), (img_c * k)) / 4 , Scalar::all(255));
string filename = string(ts->get_data_path() + "readwrite/test_" + char(k + 48) + "_c" + char(num_channels + 48) + "_.jpg");
imwrite(filename, img);
img = imread(filename, CV_LOAD_IMAGE_UNCHANGED);
filename = string(ts->get_data_path() + "readwrite/test_" + char(k + 48) + "_c" + char(num_channels + 48) + ".jpg");
ts->printf(ts->LOG, "reading test image : %s\n", filename.c_str());
Mat img_test = imread(filename, CV_LOAD_IMAGE_UNCHANGED);
if (img_test.empty()) ts->set_failed_test_info(ts->FAIL_MISMATCH);
CV_Assert(img.size() == img_test.size());
CV_Assert(img.type() == img_test.type());
double n = norm(img, img_test);
if ( n > 1.0)
{
ts->printf(ts->LOG, "norm = %f \n", n);
ts->set_failed_test_info(ts->FAIL_MISMATCH);
}
}
for (int num_channels = 1; num_channels <= 3; num_channels+=2)
{
// tiff
ts->printf(ts->LOG, "image type depth:%d channels:%d ext: %s\n", CV_16U, num_channels, ".tiff");
Mat img(img_r * k, img_c * k, CV_MAKETYPE(CV_16U, num_channels), Scalar::all(0));
circle(img, Point2i((img_c * k) / 2, (img_r * k) / 2), cv::min((img_r * k), (img_c * k)) / 4 , Scalar::all(255));
string filename = string(ts->get_data_path() + "readwrite/test.tiff");
imwrite(filename, img);
ts->printf(ts->LOG, "reading test image : %s\n", filename.c_str());
Mat img_test = imread(filename, CV_LOAD_IMAGE_UNCHANGED);
if (img_test.empty()) ts->set_failed_test_info(ts->FAIL_MISMATCH);
CV_Assert(img.size() == img_test.size());
ts->printf(ts->LOG, "img : %d ; %d \n", img.channels(), img.depth());
ts->printf(ts->LOG, "img_test : %d ; %d \n", img_test.channels(), img_test.depth());
CV_Assert(img.type() == img_test.type());
double n = norm(img, img_test);
if ( n > 1.0)
{
ts->printf(ts->LOG, "norm = %f \n", n);
ts->set_failed_test_info(ts->FAIL_MISMATCH);
}
}
}
}
catch(const cv::Exception & e)
{
ts->printf(ts->LOG, "Exception: %s\n" , e.what());
ts->set_failed_test_info(ts->FAIL_MISMATCH);
}
}
};
TEST(Highgui_FFmpeg_WriteBigVideo, regression) { CV_FFmpegWriteBigVideoTest test; test.safe_run(); }
TEST(Highgui_FFmpeg_WriteBigImage, regression) { CV_FFmpegWriteBigImageTest test; test.safe_run(); }
TEST(Highgui_FFmpeg_WriteBigVideo, regression) { CV_FFmpegWriteBigVideoTest test; test.safe_run(); }
TEST(Highgui_FFmpeg_WriteSequenceImage, regression) { CV_FFmpegWriteSequenceImageTest test; test.safe_run(); }
#endif
modules/highgui/test/test_grfmt.cpp 0 → 100644
浏览文件 @ 4168a698
/*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_GrfmtWriteBigImageTest : public cvtest::BaseTest
{
public:
void run(int)
{
try
{
ts->printf(cvtest::TS::LOG, "start reading big image\n");
Mat img = imread(string(ts->get_data_path()) + "readwrite/read.png");
ts->printf(cvtest::TS::LOG, "finish reading big image\n");
if (img.empty()) ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
ts->printf(cvtest::TS::LOG, "start writing big image\n");
imwrite(string(ts->get_data_path()) + "readwrite/write.png", img);
ts->printf(cvtest::TS::LOG, "finish writing big image\n");
}
catch(...)
{
ts->set_failed_test_info(cvtest::TS::FAIL_EXCEPTION);
}
ts->set_failed_test_info(cvtest::TS::OK);
}
};
string ext_from_int(int ext)
{
if (ext == 0) return ".png";
if (ext == 1) return ".bmp";
if (ext == 2) return ".pgm";
if (ext == 3) return ".tiff";
return "";
}
class CV_GrfmtWriteSequenceImageTest : public cvtest::BaseTest
{
public:
void run(int)
{
try
{
const int img_r = 640;
const int img_c = 480;
Size frame_s = Size(img_c, img_r);
for (int k = 1; k <= 5; ++k)
{
for (int ext = 0; ext < 4; ++ext) // 0 - png, 1 - bmp, 2 - pgm, 3 - tiff
for (int num_channels = 1; num_channels <= 3; num_channels+=2)
{
ts->printf(ts->LOG, "image type depth:%d channels:%d ext: %s\n", CV_8U, num_channels, ext_from_int(ext).c_str());
Mat img(img_r * k, img_c * k, CV_MAKETYPE(CV_8U, num_channels), Scalar::all(0));
circle(img, Point2i((img_c * k) / 2, (img_r * k) / 2), cv::min((img_r * k), (img_c * k)) / 4 , Scalar::all(255));
ts->printf(ts->LOG, "writing image : %s\n", string(string(ts->get_data_path()) + "readwrite/test" + ext_from_int(ext)).c_str());
imwrite(string(ts->get_data_path()) + "readwrite/test" + ext_from_int(ext), img);
ts->printf(ts->LOG, "reading test image : %s\n", string(string(ts->get_data_path()) + "readwrite/test" + ext_from_int(ext)).c_str());
Mat img_test = imread(string(ts->get_data_path()) + "readwrite/test" + ext_from_int(ext), CV_LOAD_IMAGE_UNCHANGED);
if (img_test.empty()) ts->set_failed_test_info(ts->FAIL_MISMATCH);
CV_Assert(img.size() == img_test.size());
CV_Assert(img.type() == img_test.type());
double n = norm(img, img_test);
if ( n > 1.0)
{
ts->printf(ts->LOG, "norm = %f \n", n);
ts->set_failed_test_info(ts->FAIL_MISMATCH);
}
}
for (int num_channels = 1; num_channels <= 3; num_channels+=2)
{
// jpeg
ts->printf(ts->LOG, "image type depth:%d channels:%d ext: %s\n", CV_8U, num_channels, ".jpg");
Mat img(img_r * k, img_c * k, CV_MAKETYPE(CV_8U, num_channels), Scalar::all(0));
circle(img, Point2i((img_c * k) / 2, (img_r * k) / 2), cv::min((img_r * k), (img_c * k)) / 4 , Scalar::all(255));
string filename = string(ts->get_data_path() + "readwrite/test_" + char(k + 48) + "_c" + char(num_channels + 48) + "_.jpg");
imwrite(filename, img);
img = imread(filename, CV_LOAD_IMAGE_UNCHANGED);
filename = string(ts->get_data_path() + "readwrite/test_" + char(k + 48) + "_c" + char(num_channels + 48) + ".jpg");
ts->printf(ts->LOG, "reading test image : %s\n", filename.c_str());
Mat img_test = imread(filename, CV_LOAD_IMAGE_UNCHANGED);
if (img_test.empty()) ts->set_failed_test_info(ts->FAIL_MISMATCH);
CV_Assert(img.size() == img_test.size());
CV_Assert(img.type() == img_test.type());
double n = norm(img, img_test);
if ( n > 1.0)
{
ts->printf(ts->LOG, "norm = %f \n", n);
ts->set_failed_test_info(ts->FAIL_MISMATCH);
}
}
for (int num_channels = 1; num_channels <= 3; num_channels+=2)
{
// tiff
ts->printf(ts->LOG, "image type depth:%d channels:%d ext: %s\n", CV_16U, num_channels, ".tiff");
Mat img(img_r * k, img_c * k, CV_MAKETYPE(CV_16U, num_channels), Scalar::all(0));
circle(img, Point2i((img_c * k) / 2, (img_r * k) / 2), cv::min((img_r * k), (img_c * k)) / 4 , Scalar::all(255));
string filename = string(ts->get_data_path() + "readwrite/test.tiff");
imwrite(filename, img);
ts->printf(ts->LOG, "reading test image : %s\n", filename.c_str());
Mat img_test = imread(filename, CV_LOAD_IMAGE_UNCHANGED);
if (img_test.empty()) ts->set_failed_test_info(ts->FAIL_MISMATCH);
CV_Assert(img.size() == img_test.size());
ts->printf(ts->LOG, "img : %d ; %d \n", img.channels(), img.depth());
ts->printf(ts->LOG, "img_test : %d ; %d \n", img_test.channels(), img_test.depth());
CV_Assert(img.type() == img_test.type());
double n = norm(img, img_test);
if ( n > 1.0)
{
ts->printf(ts->LOG, "norm = %f \n", n);
ts->set_failed_test_info(ts->FAIL_MISMATCH);
}
}
}
}
catch(const cv::Exception & e)
{
ts->printf(ts->LOG, "Exception: %s\n" , e.what());
ts->set_failed_test_info(ts->FAIL_MISMATCH);
}
}
};
TEST(Highgui_Grfmt_WriteBigImage, regression) { CV_GrfmtWriteBigImageTest test; test.safe_run(); }
TEST(Highgui_Grfmt_WriteSequenceImage, regression) { CV_GrfmtWriteSequenceImageTest test; test.safe_run(); }
modules/highgui/test/test_gui.cpp
浏览文件 @ 4168a698
......@@ -43,13 +43,15 @@
#include "test_precomp.hpp"
#include "opencv2/highgui/highgui.hpp"
#if defined HAVE_GTK || defined HAVE_QT || defined WIN32 || defined _WIN32 || HAVE_CARBON || HAVE_COCOA
using namespace cv;
using namespace std;
class CV_HighGuiOnlyGuiTest : public cvtest::BaseTest
{
protected:
void run(int);
protected:
void run(int);
};
void Foo(int /*k*/, void* /*z*/) {}
......@@ -57,30 +59,32 @@ void Foo(int /*k*/, void* /*z*/) {}
void CV_HighGuiOnlyGuiTest::run( int /*start_from */)
{
ts->printf(ts->LOG, "GUI 1\n");
namedWindow("Win");
namedWindow("Win");
ts->printf(ts->LOG, "GUI 2\n");
Mat m(256, 256, CV_8U);
m = Scalar(128);
ts->printf(ts->LOG, "GUI 2\n");
Mat m(256, 256, CV_8U);
m = Scalar(128);
ts->printf(ts->LOG, "GUI 3\n");
imshow("Win", m);
ts->printf(ts->LOG, "GUI 3\n");
imshow("Win", m);
ts->printf(ts->LOG, "GUI 4\n");
int value = 50;
ts->printf(ts->LOG, "GUI 4\n");
int value = 50;
ts->printf(ts->LOG, "GUI 5\n");
createTrackbar( "trackbar", "Win", &value, 100, Foo, &value);
ts->printf(ts->LOG, "GUI 5\n");
createTrackbar( "trackbar", "Win", &value, 100, Foo, &value);
ts->printf(ts->LOG, "GUI 6\n");
getTrackbarPos( "trackbar", "Win" );
ts->printf(ts->LOG, "GUI 6\n");
getTrackbarPos( "trackbar", "Win" );
ts->printf(ts->LOG, "GUI 7\n");
waitKey(500);
ts->printf(ts->LOG, "GUI 7\n");
waitKey(500);
ts->printf(ts->LOG, "GUI 8\n");
cvDestroyAllWindows();
ts->printf(ts->LOG, "GUI 8\n");
cvDestroyAllWindows();
ts->set_failed_test_info(cvtest::TS::OK);
}
TEST(Highgui_GUI, regression) { CV_HighGuiOnlyGuiTest test; test.safe_run(); }
#endif
modules/highgui/test/test_precomp.hpp
浏览文件 @ 4168a698
#ifndef __OPENCV_TEST_PRECOMP_HPP__
#define __OPENCV_TEST_PRECOMP_HPP__
#ifdef HAVE_CVCONFIG_H
# include "cvconfig.h"
#endif
#include "opencv2/ts/ts.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/imgproc/imgproc_c.h"
......
modules/highgui/test/test_video_io.cpp
浏览文件 @ 4168a698
......@@ -48,205 +48,205 @@ using namespace std;
class CV_HighGuiTest : public cvtest::BaseTest
{
protected:
void ImagesTest(const string& dir);
void VideoTest (const string& dir, int fourcc);
protected:
void ImagesTest(const string& dir);
void VideoTest (const string& dir, int fourcc);
public:
void run(int);
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));
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::ImagesTest(const string& dir)
{
string _name = dir + string("../cv/shared/baboon.jpg");
ts->printf(ts->LOG, "reading image : %s\n", _name.c_str());
string _name = dir + string("../cv/shared/baboon.jpg");
ts->printf(ts->LOG, "reading image : %s\n", _name.c_str());
Mat image = imread(_name);
image.convertTo(image, CV_8UC3);
if (image.empty())
{
ts->set_failed_test_info(ts->FAIL_MISSING_TEST_DATA);
return;
}
const string exts[] = {"png", "bmp", "tiff", "jpg", "jp2", "ppm", "ras" };
const size_t ext_num = sizeof(exts)/sizeof(exts[0]);
for(size_t i = 0; i < ext_num; ++i)
{
Mat image = imread(_name);
image.convertTo(image, CV_8UC3);
if (image.empty())
{
ts->set_failed_test_info(ts->FAIL_MISSING_TEST_DATA);
return;
}
const string exts[] = {"png", "bmp", "tiff", "jpg", "jp2", "ppm", "ras" };
const size_t ext_num = sizeof(exts)/sizeof(exts[0]);
for(size_t i = 0; i < ext_num; ++i)
{
string ext = exts[i];
string full_name = dir + "img." + ext;
ts->printf(ts->LOG, " full_name : %s\n", full_name.c_str());
imwrite(full_name, image);
Mat loaded = imread(full_name);
if (loaded.empty())
{
ts->printf(ts->LOG, "Reading failed at fmt=%s\n", ext.c_str());
ts->set_failed_test_info(ts->FAIL_MISMATCH);
continue;
}
const double thresDbell = 20;
double psnr = PSNR(loaded, image);
if (psnr < thresDbell)
{
ts->printf(ts->LOG, "Reading image from file: too big difference (=%g) with fmt=%s\n", psnr, ext.c_str());
ts->set_failed_test_info(ts->FAIL_BAD_ACCURACY);
continue;
}
vector<uchar> from_file;
FILE *f = fopen(full_name.c_str(), "rb");
fseek(f, 0, SEEK_END);
long len = ftell(f);
from_file.resize((size_t)len);
fseek(f, 0, SEEK_SET);
from_file.resize(fread(&from_file[0], 1, from_file.size(), f));
fclose(f);
string full_name = dir + "img." + ext;
ts->printf(ts->LOG, " full_name : %s\n", full_name.c_str());
imwrite(full_name, image);
Mat loaded = imread(full_name);
if (loaded.empty())
{
ts->printf(ts->LOG, "Reading failed at fmt=%s\n", ext.c_str());
ts->set_failed_test_info(ts->FAIL_MISMATCH);
continue;
}
const double thresDbell = 20;
double psnr = PSNR(loaded, image);
if (psnr < thresDbell)
{
ts->printf(ts->LOG, "Reading image from file: too big difference (=%g) with fmt=%s\n", psnr, ext.c_str());
ts->set_failed_test_info(ts->FAIL_BAD_ACCURACY);
continue;
}
vector<uchar> from_file;
FILE *f = fopen(full_name.c_str(), "rb");
fseek(f, 0, SEEK_END);
long len = ftell(f);
from_file.resize((size_t)len);
fseek(f, 0, SEEK_SET);
from_file.resize(fread(&from_file[0], 1, from_file.size(), f));
fclose(f);
vector<uchar> buf;
imencode("." + exts[i], image, buf);
if (buf != from_file)
{
vector<uchar> buf;
imencode("." + exts[i], image, buf);
if (buf != from_file)
{
ts->printf(ts->LOG, "Encoding failed with fmt=%s\n", ext.c_str());
ts->set_failed_test_info(ts->FAIL_MISMATCH);
continue;
}
Mat buf_loaded = imdecode(Mat(buf), 1);
if (buf_loaded.empty())
{
ts->printf(ts->LOG, "Decoding failed with fmt=%s\n", ext.c_str());
ts->set_failed_test_info(ts->FAIL_MISMATCH);
continue;
}
continue;
}
Mat buf_loaded = imdecode(Mat(buf), 1);
if (buf_loaded.empty())
{
ts->printf(ts->LOG, "Decoding failed with fmt=%s\n", ext.c_str());
ts->set_failed_test_info(ts->FAIL_MISMATCH);
continue;
}
psnr = PSNR(buf_loaded, image);
if (psnr < thresDbell)
{
ts->printf(ts->LOG, "Decoding image from memory: too small PSNR (=%gdb) with fmt=%s\n", psnr, ext.c_str());
ts->set_failed_test_info(ts->FAIL_MISMATCH);
continue;
}
}
ts->printf(ts->LOG, "end test function : ImagesTest \n");
ts->set_failed_test_info(ts->OK);
if (psnr < thresDbell)
{
ts->printf(ts->LOG, "Decoding image from memory: too small PSNR (=%gdb) with fmt=%s\n", psnr, ext.c_str());
ts->set_failed_test_info(ts->FAIL_MISMATCH);
continue;
}
}
ts->printf(ts->LOG, "end test function : ImagesTest \n");
ts->set_failed_test_info(ts->OK);
}
void CV_HighGuiTest::VideoTest(const string& dir, int fourcc)
{
string src_file = dir + "../cv/shared/video_for_test.avi";
string tmp_name = dir + "video.avi";
string src_file = dir + "../cv/shared/video_for_test.avi";
string tmp_name = dir + "video.avi";
ts->printf(ts->LOG, "reading video : %s\n", src_file.c_str());
ts->printf(ts->LOG, "reading video : %s\n", src_file.c_str());
CvCapture* cap = cvCaptureFromFile(src_file.c_str());
if (!cap)
{
ts->set_failed_test_info(ts->FAIL_MISMATCH);
return;
}
CvVideoWriter* writer = 0;
int counter = 0;
for(;;)
{
IplImage * img = cvQueryFrame( cap );
if (!img)
break;
if (writer == 0)
{
writer = cvCreateVideoWriter(tmp_name.c_str(), fourcc, 24, cvGetSize(img));
if (writer == 0)
{
ts->printf(ts->LOG, "can't create writer (with fourcc : %d)\n", fourcc);
cvReleaseCapture( &cap );
ts->set_failed_test_info(ts->FAIL_MISMATCH);
return;
}
}
cvWriteFrame(writer, img);
}
cvReleaseVideoWriter( &writer );
cvReleaseCapture( &cap );
cap = cvCaptureFromFile(src_file.c_str());
CvCapture* cap = cvCaptureFromFile(src_file.c_str());
CvCapture *saved = cvCaptureFromFile(tmp_name.c_str());
if (!saved)
{
ts->set_failed_test_info(ts->FAIL_MISMATCH);
return;
}
if (!cap)
{
ts->set_failed_test_info(ts->FAIL_MISMATCH);
return;
}
CvVideoWriter* writer = 0;
int counter = 0;
for(;;)
{
IplImage * img = cvQueryFrame( cap );
if (!img)
break;
if (writer == 0)
{
writer = cvCreateVideoWriter(tmp_name.c_str(), fourcc, 24, cvGetSize(img));
if (writer == 0)
{
ts->printf(ts->LOG, "can't create writer (with fourcc : %d)\n", fourcc);
cvReleaseCapture( &cap );
ts->set_failed_test_info(ts->FAIL_MISMATCH);
return;
}
}
cvWriteFrame(writer, img);
}
cvReleaseVideoWriter( &writer );
cvReleaseCapture( &cap );
cap = cvCaptureFromFile(src_file.c_str());
CvCapture *saved = cvCaptureFromFile(tmp_name.c_str());
if (!saved)
{
ts->set_failed_test_info(ts->FAIL_MISMATCH);
return;
}
const double thresDbell = 20;
const double thresDbell = 20;
counter = 0;
for(;;)
{
IplImage* ipl = cvQueryFrame( cap );
IplImage* ipl1 = cvQueryFrame( saved );
if (!ipl || !ipl1)
break;
Mat img(ipl);
Mat img1(ipl1);
if (PSNR(img1, img) < thresDbell)
{
ts->set_failed_test_info(ts->FAIL_MISMATCH);
break;
}
}
cvReleaseCapture( &cap );
cvReleaseCapture( &saved );
ts->printf(ts->LOG, "end test function : ImagesVideo \n");
for(;;)
{
IplImage* ipl = cvQueryFrame( cap );
IplImage* ipl1 = cvQueryFrame( saved );
if (!ipl || !ipl1)
break;
Mat img(ipl);
Mat img1(ipl1);
if (PSNR(img1, img) < thresDbell)
{
ts->set_failed_test_info(ts->FAIL_MISMATCH);
break;
}
}
cvReleaseCapture( &cap );
cvReleaseCapture( &saved );
ts->printf(ts->LOG, "end test function : ImagesVideo \n");
}
void CV_HighGuiTest::run( int /*start_from */)
{
ImagesTest(ts->get_data_path());
#if defined WIN32 || defined __linux__
ImagesTest(ts->get_data_path());
#if defined WIN32 || (defined __linux__ && !defined ANDROID)
#if !defined HAVE_GSTREAMER || defined HAVE_GSTREAMER_APP
VideoTest(ts->get_data_path(), CV_FOURCC_DEFAULT);
VideoTest(ts->get_data_path(), CV_FOURCC_DEFAULT);
VideoTest(ts->get_data_path(), CV_FOURCC('X', 'V', 'I', 'D'));
VideoTest(ts->get_data_path(), CV_FOURCC('X', 'V', 'I', 'D'));
VideoTest(ts->get_data_path(), CV_FOURCC('M', 'P', 'G', '2'));
VideoTest(ts->get_data_path(), CV_FOURCC('M', 'P', 'G', '2'));
VideoTest(ts->get_data_path(), CV_FOURCC('M', 'J', 'P', 'G'));
VideoTest(ts->get_data_path(), CV_FOURCC('M', 'J', 'P', 'G'));
#endif
#endif
......
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