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Kumataro
3c3a26b6ab
imgcodecs: bmp: relax decoding size limit to over 1GiB #27811 Close https://github.com/opencv/opencv/issues/27789 Close https://github.com/opencv/opencv/issues/23233 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake
62 lines
2.0 KiB
C++
62 lines
2.0 KiB
C++
// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html
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#include "test_precomp.hpp"
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#include "test_common.hpp"
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#include <vector>
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namespace opencv_test { namespace {
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// See https://github.com/opencv/opencv/issues/27789
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// See https://github.com/opencv/opencv/issues/23233
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TEST(Imgcodecs_BMP, encode_decode_over1GB_regression27789)
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{
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applyTestTag( CV_TEST_TAG_MEMORY_2GB, CV_TEST_TAG_LONG );
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// Create large Mat over 1GB
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// 20000 px * 18000 px * 24 bpp(3ch) = 1,080,000,000 bytes
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// 1 GiB = 1,073,741,824 bytes
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cv::Mat src(20000, 18000, CV_8UC3, cv::Scalar(0,0,0));
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// Encode large BMP file.
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std::vector<uint8_t> buf;
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bool ret = false;
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ASSERT_NO_THROW(ret = cv::imencode(".bmp", src, buf, {}));
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ASSERT_TRUE(ret);
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src.release(); // To reduce usage memory, it is needed.
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// Decode large BMP file.
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cv::Mat dst;
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ASSERT_NO_THROW(dst = cv::imdecode(buf, cv::IMREAD_COLOR));
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ASSERT_FALSE(dst.empty());
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}
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TEST(Imgcodecs_BMP, write_read_over1GB_regression27789)
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{
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// tag CV_TEST_TAG_VERYLONG applied to skip on CI. The test writes ~1GB file.
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applyTestTag( CV_TEST_TAG_MEMORY_2GB, CV_TEST_TAG_VERYLONG );
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string bmpFilename = cv::tempfile(".bmp"); // To remove it, test must use EXPECT_* instead of ASSERT_*.
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// Create large Mat over 1GB
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// 20000 px * 18000 px * 24 bpp(3ch) = 1,080,000,000 bytes
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// 1 GiB = 1,073,741,824 bytes
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cv::Mat src(20000, 18000, CV_8UC3, cv::Scalar(0,0,0));
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// Write large BMP file.
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bool ret = false;
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EXPECT_NO_THROW(ret = cv::imwrite(bmpFilename, src, {}));
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EXPECT_TRUE(ret);
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// Read large BMP file.
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cv::Mat dst;
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EXPECT_NO_THROW(dst = cv::imread(bmpFilename, cv::IMREAD_COLOR));
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EXPECT_FALSE(dst.empty());
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remove(bmpFilename.c_str());
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}
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}} // namespace
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