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Open Source Computer Vision Library
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600 lines
21 KiB
600 lines
21 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. |
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other materials provided with the distribution. |
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// |
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// * The name of the copyright holders may not be used to endorse or promote products |
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// derived from this software without specific prior written permission. |
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// |
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// This software is provided by the copyright holders and contributors "as is" and |
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// any express or implied warranties, including, but not limited to, the implied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Intel Corporation or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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//M*/ |
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#include "test_precomp.hpp" |
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#include "opencv2/highgui.hpp" |
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using namespace cv; |
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using namespace std; |
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class CV_GrfmtWriteBigImageTest : public cvtest::BaseTest |
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{ |
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public: |
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void run(int) |
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{ |
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try |
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{ |
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ts->printf(cvtest::TS::LOG, "start reading big image\n"); |
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Mat img = imread(string(ts->get_data_path()) + "readwrite/read.png"); |
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ts->printf(cvtest::TS::LOG, "finish reading big image\n"); |
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if (img.empty()) ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA); |
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ts->printf(cvtest::TS::LOG, "start writing big image\n"); |
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imwrite(cv::tempfile(".png"), img); |
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ts->printf(cvtest::TS::LOG, "finish writing big image\n"); |
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} |
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catch(...) |
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{ |
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ts->set_failed_test_info(cvtest::TS::FAIL_EXCEPTION); |
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} |
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ts->set_failed_test_info(cvtest::TS::OK); |
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} |
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}; |
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string ext_from_int(int ext) |
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{ |
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#ifdef HAVE_PNG |
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if (ext == 0) return ".png"; |
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#endif |
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if (ext == 1) return ".bmp"; |
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if (ext == 2) return ".pgm"; |
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#ifdef HAVE_TIFF |
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if (ext == 3) return ".tiff"; |
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#endif |
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return ""; |
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} |
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class CV_GrfmtWriteSequenceImageTest : public cvtest::BaseTest |
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{ |
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public: |
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void run(int) |
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{ |
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try |
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{ |
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const int img_r = 640; |
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const int img_c = 480; |
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for (int k = 1; k <= 5; ++k) |
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{ |
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for (int ext = 0; ext < 4; ++ext) // 0 - png, 1 - bmp, 2 - pgm, 3 - tiff |
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{ |
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if(ext_from_int(ext).empty()) |
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continue; |
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for (int num_channels = 1; num_channels <= 4; num_channels++) |
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{ |
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if (num_channels == 2) continue; |
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if (num_channels == 4 && ext!=3 /*TIFF*/) continue; |
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ts->printf(ts->LOG, "image type depth:%d channels:%d ext: %s\n", CV_8U, num_channels, ext_from_int(ext).c_str()); |
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Mat img(img_r * k, img_c * k, CV_MAKETYPE(CV_8U, num_channels), Scalar::all(0)); |
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circle(img, Point2i((img_c * k) / 2, (img_r * k) / 2), std::min((img_r * k), (img_c * k)) / 4 , Scalar::all(255)); |
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string img_path = cv::tempfile(ext_from_int(ext).c_str()); |
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ts->printf(ts->LOG, "writing image : %s\n", img_path.c_str()); |
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imwrite(img_path, img); |
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ts->printf(ts->LOG, "reading test image : %s\n", img_path.c_str()); |
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Mat img_test = imread(img_path, IMREAD_UNCHANGED); |
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if (img_test.empty()) ts->set_failed_test_info(ts->FAIL_MISMATCH); |
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CV_Assert(img.size() == img_test.size()); |
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CV_Assert(img.type() == img_test.type()); |
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CV_Assert(num_channels == img_test.channels()); |
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double n = norm(img, img_test); |
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if ( n > 1.0) |
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{ |
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ts->printf(ts->LOG, "norm = %f \n", n); |
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ts->set_failed_test_info(ts->FAIL_MISMATCH); |
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} |
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} |
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} |
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#ifdef HAVE_JPEG |
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for (int num_channels = 1; num_channels <= 3; num_channels+=2) |
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{ |
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// jpeg |
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ts->printf(ts->LOG, "image type depth:%d channels:%d ext: %s\n", CV_8U, num_channels, ".jpg"); |
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Mat img(img_r * k, img_c * k, CV_MAKETYPE(CV_8U, num_channels), Scalar::all(0)); |
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circle(img, Point2i((img_c * k) / 2, (img_r * k) / 2), std::min((img_r * k), (img_c * k)) / 4 , Scalar::all(255)); |
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string filename = cv::tempfile(".jpg"); |
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imwrite(filename, img); |
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img = imread(filename, IMREAD_UNCHANGED); |
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filename = string(ts->get_data_path() + "readwrite/test_" + char(k + 48) + "_c" + char(num_channels + 48) + ".jpg"); |
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ts->printf(ts->LOG, "reading test image : %s\n", filename.c_str()); |
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Mat img_test = imread(filename, IMREAD_UNCHANGED); |
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if (img_test.empty()) ts->set_failed_test_info(ts->FAIL_MISMATCH); |
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CV_Assert(img.size() == img_test.size()); |
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CV_Assert(img.type() == img_test.type()); |
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double n = norm(img, img_test); |
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if ( n > 1.0) |
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{ |
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ts->printf(ts->LOG, "norm = %f \n", n); |
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ts->set_failed_test_info(ts->FAIL_MISMATCH); |
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} |
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} |
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#endif |
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#ifdef HAVE_TIFF |
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for (int num_channels = 1; num_channels <= 3; num_channels+=2) |
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{ |
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// tiff |
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ts->printf(ts->LOG, "image type depth:%d channels:%d ext: %s\n", CV_16U, num_channels, ".tiff"); |
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Mat img(img_r * k, img_c * k, CV_MAKETYPE(CV_16U, num_channels), Scalar::all(0)); |
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circle(img, Point2i((img_c * k) / 2, (img_r * k) / 2), std::min((img_r * k), (img_c * k)) / 4 , Scalar::all(255)); |
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string filename = cv::tempfile(".tiff"); |
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imwrite(filename, img); |
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ts->printf(ts->LOG, "reading test image : %s\n", filename.c_str()); |
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Mat img_test = imread(filename, IMREAD_UNCHANGED); |
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if (img_test.empty()) ts->set_failed_test_info(ts->FAIL_MISMATCH); |
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CV_Assert(img.size() == img_test.size()); |
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ts->printf(ts->LOG, "img : %d ; %d \n", img.channels(), img.depth()); |
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ts->printf(ts->LOG, "img_test : %d ; %d \n", img_test.channels(), img_test.depth()); |
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CV_Assert(img.type() == img_test.type()); |
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double n = norm(img, img_test); |
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if ( n > 1.0) |
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{ |
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ts->printf(ts->LOG, "norm = %f \n", n); |
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ts->set_failed_test_info(ts->FAIL_MISMATCH); |
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} |
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} |
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#endif |
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} |
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} |
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catch(const cv::Exception & e) |
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{ |
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ts->printf(ts->LOG, "Exception: %s\n" , e.what()); |
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ts->set_failed_test_info(ts->FAIL_MISMATCH); |
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} |
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} |
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}; |
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class CV_GrfmtReadBMPRLE8Test : public cvtest::BaseTest |
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{ |
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public: |
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void run(int) |
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{ |
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try |
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{ |
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Mat rle = imread(string(ts->get_data_path()) + "readwrite/rle8.bmp"); |
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Mat bmp = imread(string(ts->get_data_path()) + "readwrite/ordinary.bmp"); |
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if (norm(rle-bmp)>1.e-10) |
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ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY); |
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} |
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catch(...) |
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{ |
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ts->set_failed_test_info(cvtest::TS::FAIL_EXCEPTION); |
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} |
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ts->set_failed_test_info(cvtest::TS::OK); |
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} |
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}; |
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#ifdef HAVE_PNG |
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TEST(Highgui_Image, write_big) { CV_GrfmtWriteBigImageTest test; test.safe_run(); } |
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#endif |
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TEST(Highgui_Image, write_imageseq) { CV_GrfmtWriteSequenceImageTest test; test.safe_run(); } |
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TEST(Highgui_Image, read_bmp_rle8) { CV_GrfmtReadBMPRLE8Test test; test.safe_run(); } |
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#ifdef HAVE_PNG |
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class CV_GrfmtPNGEncodeTest : public cvtest::BaseTest |
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{ |
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public: |
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void run(int) |
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{ |
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try |
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{ |
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vector<uchar> buff; |
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Mat im = Mat::zeros(1000,1000, CV_8U); |
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//randu(im, 0, 256); |
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vector<int> param; |
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param.push_back(IMWRITE_PNG_COMPRESSION); |
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param.push_back(3); //default(3) 0-9. |
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cv::imencode(".png" ,im ,buff, param); |
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// hangs |
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Mat im2 = imdecode(buff,IMREAD_ANYDEPTH); |
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} |
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catch(...) |
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{ |
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ts->set_failed_test_info(cvtest::TS::FAIL_EXCEPTION); |
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} |
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ts->set_failed_test_info(cvtest::TS::OK); |
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} |
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}; |
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TEST(Highgui_Image, encode_png) { CV_GrfmtPNGEncodeTest test; test.safe_run(); } |
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TEST(Highgui_ImreadVSCvtColor, regression) |
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{ |
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cvtest::TS& ts = *cvtest::TS::ptr(); |
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const int MAX_MEAN_DIFF = 1; |
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const int MAX_ABS_DIFF = 10; |
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string imgName = string(ts.get_data_path()) + "/../cv/shared/lena.png"; |
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Mat original_image = imread(imgName); |
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Mat gray_by_codec = imread(imgName, 0); |
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Mat gray_by_cvt; |
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cvtColor(original_image, gray_by_cvt, CV_BGR2GRAY); |
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Mat diff; |
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absdiff(gray_by_codec, gray_by_cvt, diff); |
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double actual_avg_diff = (double)mean(diff)[0]; |
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double actual_maxval, actual_minval; |
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minMaxLoc(diff, &actual_minval, &actual_maxval); |
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//printf("actual avg = %g, actual maxdiff = %g, npixels = %d\n", actual_avg_diff, actual_maxval, (int)diff.total()); |
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EXPECT_LT(actual_avg_diff, MAX_MEAN_DIFF); |
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EXPECT_LT(actual_maxval, MAX_ABS_DIFF); |
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} |
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//Test OpenCV issue 3075 is solved |
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class CV_GrfmtReadPNGColorPaletteWithAlphaTest : public cvtest::BaseTest |
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{ |
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public: |
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void run(int) |
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{ |
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try |
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{ |
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// First Test : Read PNG with alpha, imread flag -1 |
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Mat img = imread(string(ts->get_data_path()) + "readwrite/color_palette_alpha.png",-1); |
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if (img.empty()) ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA); |
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ASSERT_TRUE(img.channels() == 4); |
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unsigned char* img_data = (unsigned char*)img.data; |
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// Verification first pixel is red in BGRA |
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ASSERT_TRUE(img_data[0] == 0x00); |
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ASSERT_TRUE(img_data[1] == 0x00); |
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ASSERT_TRUE(img_data[2] == 0xFF); |
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ASSERT_TRUE(img_data[3] == 0xFF); |
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// Verification second pixel is red in BGRA |
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ASSERT_TRUE(img_data[4] == 0x00); |
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ASSERT_TRUE(img_data[5] == 0x00); |
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ASSERT_TRUE(img_data[6] == 0xFF); |
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ASSERT_TRUE(img_data[7] == 0xFF); |
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// Second Test : Read PNG without alpha, imread flag -1 |
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img = imread(string(ts->get_data_path()) + "readwrite/color_palette_no_alpha.png",-1); |
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if (img.empty()) ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA); |
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ASSERT_TRUE(img.channels() == 3); |
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img_data = (unsigned char*)img.data; |
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// Verification first pixel is red in BGR |
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ASSERT_TRUE(img_data[0] == 0x00); |
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ASSERT_TRUE(img_data[1] == 0x00); |
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ASSERT_TRUE(img_data[2] == 0xFF); |
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// Verification second pixel is red in BGR |
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ASSERT_TRUE(img_data[3] == 0x00); |
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ASSERT_TRUE(img_data[4] == 0x00); |
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ASSERT_TRUE(img_data[5] == 0xFF); |
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// Third Test : Read PNG with alpha, imread flag 1 |
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img = imread(string(ts->get_data_path()) + "readwrite/color_palette_alpha.png",1); |
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if (img.empty()) ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA); |
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ASSERT_TRUE(img.channels() == 3); |
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img_data = (unsigned char*)img.data; |
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// Verification first pixel is red in BGR |
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ASSERT_TRUE(img_data[0] == 0x00); |
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ASSERT_TRUE(img_data[1] == 0x00); |
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ASSERT_TRUE(img_data[2] == 0xFF); |
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// Verification second pixel is red in BGR |
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ASSERT_TRUE(img_data[3] == 0x00); |
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ASSERT_TRUE(img_data[4] == 0x00); |
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ASSERT_TRUE(img_data[5] == 0xFF); |
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// Fourth Test : Read PNG without alpha, imread flag 1 |
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img = imread(string(ts->get_data_path()) + "readwrite/color_palette_no_alpha.png",1); |
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if (img.empty()) ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA); |
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ASSERT_TRUE(img.channels() == 3); |
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img_data = (unsigned char*)img.data; |
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// Verification first pixel is red in BGR |
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ASSERT_TRUE(img_data[0] == 0x00); |
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ASSERT_TRUE(img_data[1] == 0x00); |
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ASSERT_TRUE(img_data[2] == 0xFF); |
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// Verification second pixel is red in BGR |
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ASSERT_TRUE(img_data[3] == 0x00); |
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ASSERT_TRUE(img_data[4] == 0x00); |
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ASSERT_TRUE(img_data[5] == 0xFF); |
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} |
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catch(...) |
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{ |
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ts->set_failed_test_info(cvtest::TS::FAIL_EXCEPTION); |
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} |
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ts->set_failed_test_info(cvtest::TS::OK); |
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} |
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}; |
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TEST(Highgui_Image, read_png_color_palette_with_alpha) { CV_GrfmtReadPNGColorPaletteWithAlphaTest test; test.safe_run(); } |
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#endif |
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#ifdef HAVE_JPEG |
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TEST(Highgui_Jpeg, encode_empty) |
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{ |
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cv::Mat img; |
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std::vector<uchar> jpegImg; |
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ASSERT_THROW(cv::imencode(".jpg", img, jpegImg), cv::Exception); |
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} |
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#endif |
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#ifdef HAVE_TIFF |
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// these defines are used to resolve conflict between tiff.h and opencv2/core/types_c.h |
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#define uint64 uint64_hack_ |
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#define int64 int64_hack_ |
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#include "tiff.h" |
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TEST(Highgui_Tiff, decode_tile16384x16384) |
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{ |
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// see issue #2161 |
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cv::Mat big(16384, 16384, CV_8UC1, cv::Scalar::all(0)); |
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string file3 = cv::tempfile(".tiff"); |
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string file4 = cv::tempfile(".tiff"); |
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std::vector<int> params; |
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params.push_back(TIFFTAG_ROWSPERSTRIP); |
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params.push_back(big.rows); |
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cv::imwrite(file4, big, params); |
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cv::imwrite(file3, big.colRange(0, big.cols - 1), params); |
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big.release(); |
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try |
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{ |
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cv::imread(file3, IMREAD_UNCHANGED); |
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EXPECT_NO_THROW(cv::imread(file4, IMREAD_UNCHANGED)); |
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} |
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catch(const std::bad_alloc&) |
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{ |
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// have no enough memory |
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} |
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remove(file3.c_str()); |
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remove(file4.c_str()); |
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} |
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TEST(Highgui_Tiff, write_read_16bit_big_little_endian) |
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{ |
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// see issue #2601 "16-bit Grayscale TIFF Load Failures Due to Buffer Underflow and Endianness" |
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// Setup data for two minimal 16-bit grayscale TIFF files in both endian formats |
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uchar tiff_sample_data[2][86] = { { |
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// Little endian |
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0x49, 0x49, 0x2a, 0x00, 0x0c, 0x00, 0x00, 0x00, 0xad, 0xde, 0xef, 0xbe, 0x06, 0x00, 0x00, 0x01, |
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0x03, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x01, 0x03, 0x00, 0x01, 0x00, |
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0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x01, 0x03, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, |
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0x00, 0x00, 0x06, 0x01, 0x03, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x11, 0x01, |
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0x04, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x17, 0x01, 0x04, 0x00, 0x01, 0x00, |
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0x00, 0x00, 0x04, 0x00, 0x00, 0x00 }, { |
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// Big endian |
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0x4d, 0x4d, 0x00, 0x2a, 0x00, 0x00, 0x00, 0x0c, 0xde, 0xad, 0xbe, 0xef, 0x00, 0x06, 0x01, 0x00, |
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0x00, 0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x02, 0x00, 0x00, 0x01, 0x01, 0x00, 0x03, 0x00, 0x00, |
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0x00, 0x01, 0x00, 0x01, 0x00, 0x00, 0x01, 0x02, 0x00, 0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x10, |
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0x00, 0x00, 0x01, 0x06, 0x00, 0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x01, 0x00, 0x00, 0x01, 0x11, |
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0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x01, 0x17, 0x00, 0x04, 0x00, 0x00, |
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0x00, 0x01, 0x00, 0x00, 0x00, 0x04 } |
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}; |
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// Test imread() for both a little endian TIFF and big endian TIFF |
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for (int i = 0; i < 2; i++) |
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{ |
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string filename = cv::tempfile(".tiff"); |
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// Write sample TIFF file |
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FILE* fp = fopen(filename.c_str(), "wb"); |
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ASSERT_TRUE(fp != NULL); |
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ASSERT_EQ((size_t)1, fwrite(tiff_sample_data, 86, 1, fp)); |
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fclose(fp); |
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Mat img = imread(filename, IMREAD_UNCHANGED); |
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EXPECT_EQ(1, img.rows); |
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EXPECT_EQ(2, img.cols); |
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EXPECT_EQ(CV_16U, img.type()); |
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EXPECT_EQ(sizeof(ushort), img.elemSize()); |
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EXPECT_EQ(1, img.channels()); |
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EXPECT_EQ(0xDEAD, img.at<ushort>(0,0)); |
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EXPECT_EQ(0xBEEF, img.at<ushort>(0,1)); |
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remove(filename.c_str()); |
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} |
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} |
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#endif |
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#ifdef HAVE_WEBP |
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TEST(Highgui_WebP, encode_decode_lossless_webp) |
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{ |
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cvtest::TS& ts = *cvtest::TS::ptr(); |
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string input = string(ts.get_data_path()) + "../cv/shared/lena.png"; |
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cv::Mat img = cv::imread(input); |
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ASSERT_FALSE(img.empty()); |
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string output = cv::tempfile(".webp"); |
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EXPECT_NO_THROW(cv::imwrite(output, img)); // lossless |
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cv::Mat img_webp = cv::imread(output); |
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std::vector<unsigned char> buf; |
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FILE * wfile = NULL; |
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wfile = fopen(output.c_str(), "rb"); |
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if (wfile != NULL) |
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{ |
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fseek(wfile, 0, SEEK_END); |
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size_t wfile_size = ftell(wfile); |
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fseek(wfile, 0, SEEK_SET); |
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buf.resize(wfile_size); |
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size_t data_size = fread(&buf[0], 1, wfile_size, wfile); |
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if(wfile) |
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{ |
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fclose(wfile); |
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} |
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if (data_size != wfile_size) |
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{ |
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EXPECT_TRUE(false); |
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} |
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} |
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remove(output.c_str()); |
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cv::Mat decode = cv::imdecode(buf, IMREAD_COLOR); |
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ASSERT_FALSE(decode.empty()); |
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EXPECT_TRUE(cv::norm(decode, img_webp, NORM_INF) == 0); |
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ASSERT_FALSE(img_webp.empty()); |
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EXPECT_TRUE(cv::norm(img, img_webp, NORM_INF) == 0); |
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} |
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TEST(Highgui_WebP, encode_decode_lossy_webp) |
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{ |
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cvtest::TS& ts = *cvtest::TS::ptr(); |
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std::string input = std::string(ts.get_data_path()) + "../cv/shared/lena.png"; |
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cv::Mat img = cv::imread(input); |
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ASSERT_FALSE(img.empty()); |
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for(int q = 100; q>=0; q-=20) |
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{ |
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std::vector<int> params; |
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params.push_back(IMWRITE_WEBP_QUALITY); |
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params.push_back(q); |
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string output = cv::tempfile(".webp"); |
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EXPECT_NO_THROW(cv::imwrite(output, img, params)); |
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cv::Mat img_webp = cv::imread(output); |
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remove(output.c_str()); |
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EXPECT_FALSE(img_webp.empty()); |
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EXPECT_EQ(3, img_webp.channels()); |
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EXPECT_EQ(512, img_webp.cols); |
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EXPECT_EQ(512, img_webp.rows); |
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} |
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} |
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TEST(Highgui_WebP, encode_decode_with_alpha_webp) |
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{ |
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cvtest::TS& ts = *cvtest::TS::ptr(); |
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std::string input = std::string(ts.get_data_path()) + "../cv/shared/lena.png"; |
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cv::Mat img = cv::imread(input); |
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ASSERT_FALSE(img.empty()); |
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std::vector<cv::Mat> imgs; |
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cv::split(img, imgs); |
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imgs.push_back(cv::Mat(imgs[0])); |
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imgs[imgs.size() - 1] = cv::Scalar::all(128); |
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cv::merge(imgs, img); |
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string output = cv::tempfile(".webp"); |
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EXPECT_NO_THROW(cv::imwrite(output, img)); |
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cv::Mat img_webp = cv::imread(output); |
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remove(output.c_str()); |
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EXPECT_FALSE(img_webp.empty()); |
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EXPECT_EQ(4, img_webp.channels()); |
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EXPECT_EQ(512, img_webp.cols); |
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EXPECT_EQ(512, img_webp.rows); |
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} |
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#endif |
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TEST(Highgui_Hdr, regression) |
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{ |
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string folder = string(cvtest::TS::ptr()->get_data_path()) + "/readwrite/"; |
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string name_rle = folder + "rle.hdr"; |
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string name_no_rle = folder + "no_rle.hdr"; |
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Mat img_rle = imread(name_rle, -1); |
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ASSERT_FALSE(img_rle.empty()) << "Could not open " << name_rle; |
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Mat img_no_rle = imread(name_no_rle, -1); |
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ASSERT_FALSE(img_no_rle.empty()) << "Could not open " << name_no_rle; |
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double min = 0.0, max = 1.0; |
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minMaxLoc(abs(img_rle - img_no_rle), &min, &max); |
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ASSERT_FALSE(max > DBL_EPSILON); |
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string tmp_file_name = tempfile(".hdr"); |
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vector<int>param(1); |
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for(int i = 0; i < 2; i++) { |
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param[0] = i; |
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imwrite(tmp_file_name, img_rle, param); |
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Mat written_img = imread(tmp_file_name, -1); |
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ASSERT_FALSE(written_img.empty()) << "Could not open " << tmp_file_name; |
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minMaxLoc(abs(img_rle - written_img), &min, &max); |
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ASSERT_FALSE(max > DBL_EPSILON); |
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} |
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}
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