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Animated PNG Support #25715 Continues https://github.com/opencv/opencv/pull/25608 ### 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. - [x] The feature is well documented and sample code can be built with the project CMake
120 lines
3.4 KiB
C++
120 lines
3.4 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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static void readFileBytes(const std::string& fname, std::vector<unsigned char>& buf)
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{
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FILE * wfile = fopen(fname.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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EXPECT_EQ(data_size, wfile_size);
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}
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}
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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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readFileBytes(output, buf);
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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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cv::Mat decode_rgb = cv::imdecode(buf, IMREAD_COLOR_RGB);
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ASSERT_FALSE(decode_rgb.empty());
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cvtColor(decode_rgb, decode_rgb, COLOR_RGB2BGR);
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EXPECT_TRUE(cvtest::norm(decode_rgb, 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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