/*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_FFmpegWriteBigImageTest : public cvtest::BaseTest { public: void run(int) { try { ts->printf(ts->LOG, "start reading bit image\n"); Mat img = imread(string(ts->get_data_path()) + "readwrite/read.png"); ts->printf(ts->LOG, "finish reading bit image\n"); if (img.empty()) ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA); ts->printf(ts->LOG, "start writing bit image\n"); imwrite(string(ts->get_data_path()) + "readwrite/write.png", img); ts->printf(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(static_cast(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(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(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 (size_t k = 1; k <= 5; ++k) { for (size_t ext = 0; ext < 4; ++ext) // 0 - png, 1 - bmp, 2 - pgm, 3 - tiff for (size_t 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 (size_t 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 (size_t 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_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(); }