Andrey Kamaev
13 years ago
parent
54adb3c9cf
commit
4168a698f6
6 changed files with 726 additions and 665 deletions
@ -0,0 +1,186 @@ |
||||
/*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(); } |
||||
Loading…
Reference in new issue