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0515f930e8
- don't reallocate passed 'img' (test fixed - must use IMREAD_UNCHANGED / IMREAD_ANYCOLOR) - avoid memory DDOS - avoid reading of whole file during header processing - avoid data access after allocated buffer during header processing (missing checks) - use WebPFree() to free allocated buffers (libwebp >= 0.5.0) - drop unused & undefined `.close()` method - added checks for channels >= 5 in encoder
115 lines
3.2 KiB
C++
115 lines
3.2 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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namespace opencv_test { namespace {
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#ifdef HAVE_WEBP
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TEST(Imgcodecs_WebP, encode_decode_lossless_webp)
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{
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const string root = cvtest::TS::ptr()->get_data_path();
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string filename = root + "../cv/shared/lena.png";
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cv::Mat img = cv::imread(filename);
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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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EXPECT_EQ(0, 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(cvtest::norm(decode, img_webp, NORM_INF) == 0);
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ASSERT_FALSE(img_webp.empty());
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EXPECT_TRUE(cvtest::norm(img, img_webp, NORM_INF) == 0);
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}
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TEST(Imgcodecs_WebP, encode_decode_lossy_webp)
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{
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const string root = cvtest::TS::ptr()->get_data_path();
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std::string input = root + "../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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EXPECT_EQ(0, 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(Imgcodecs_WebP, encode_decode_with_alpha_webp)
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{
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const string root = cvtest::TS::ptr()->get_data_path();
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std::string input = root + "../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, IMREAD_UNCHANGED);
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cv::Mat img_webp_bgr = cv::imread(output); // IMREAD_COLOR by default
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EXPECT_EQ(0, 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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EXPECT_FALSE(img_webp_bgr.empty());
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EXPECT_EQ(3, img_webp_bgr.channels());
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EXPECT_EQ(512, img_webp_bgr.cols);
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EXPECT_EQ(512, img_webp_bgr.rows);
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}
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#endif // HAVE_WEBP
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}} // namespace
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