309 lines
10 KiB
C++
309 lines
10 KiB
C++
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// 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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//#define GENERATE_DATA
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namespace opencv_test { namespace {
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size_t getFileSize(const string& filename)
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{
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std::ifstream ifs(filename.c_str(), std::ios::in | std::ios::binary);
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if (ifs.is_open())
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{
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ifs.seekg(0, std::ios::end);
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return (size_t)ifs.tellg();
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}
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return 0;
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}
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TEST(Imgcodecs_EXR, readWrite_32FC1)
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{ // Y channels
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const string root = cvtest::TS::ptr()->get_data_path();
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const string filenameInput = root + "readwrite/test32FC1.exr";
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const string filenameOutput = cv::tempfile(".exr");
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#ifndef GENERATE_DATA
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const Mat img = cv::imread(filenameInput, IMREAD_UNCHANGED);
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#else
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const Size sz(64, 32);
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Mat img(sz, CV_32FC1, Scalar(0.5, 0.1, 1));
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img(Rect(10, 5, sz.width - 30, sz.height - 20)).setTo(Scalar(1, 0, 0));
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ASSERT_TRUE(cv::imwrite(filenameInput, img));
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#endif
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ASSERT_FALSE(img.empty());
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ASSERT_EQ(CV_32FC1,img.type());
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ASSERT_TRUE(cv::imwrite(filenameOutput, img));
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// Check generated file size to ensure that it's compressed with proper options
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ASSERT_EQ(396u, getFileSize(filenameOutput));
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const Mat img2 = cv::imread(filenameOutput, IMREAD_UNCHANGED);
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ASSERT_EQ(img2.type(), img.type());
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ASSERT_EQ(img2.size(), img.size());
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EXPECT_LE(cvtest::norm(img, img2, NORM_INF | NORM_RELATIVE), 1e-3);
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EXPECT_EQ(0, remove(filenameOutput.c_str()));
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}
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TEST(Imgcodecs_EXR, readWrite_32FC3)
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{ // RGB channels
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const string root = cvtest::TS::ptr()->get_data_path();
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const string filenameInput = root + "readwrite/test32FC3.exr";
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const string filenameOutput = cv::tempfile(".exr");
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#ifndef GENERATE_DATA
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const Mat img = cv::imread(filenameInput, IMREAD_UNCHANGED);
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#else
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const Size sz(64, 32);
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Mat img(sz, CV_32FC3, Scalar(0.5, 0.1, 1));
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img(Rect(10, 5, sz.width - 30, sz.height - 20)).setTo(Scalar(1, 0, 0));
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ASSERT_TRUE(cv::imwrite(filenameInput, img));
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#endif
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ASSERT_FALSE(img.empty());
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ASSERT_EQ(CV_32FC3, img.type());
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ASSERT_TRUE(cv::imwrite(filenameOutput, img));
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const Mat img2 = cv::imread(filenameOutput, IMREAD_UNCHANGED);
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ASSERT_EQ(img2.type(), img.type());
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ASSERT_EQ(img2.size(), img.size());
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EXPECT_LE(cvtest::norm(img, img2, NORM_INF | NORM_RELATIVE), 1e-3);
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EXPECT_EQ(0, remove(filenameOutput.c_str()));
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}
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TEST(Imgcodecs_EXR, readWrite_32FC1_half)
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{
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const string root = cvtest::TS::ptr()->get_data_path();
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const string filenameInput = root + "readwrite/test32FC1_half.exr";
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const string filenameOutput = cv::tempfile(".exr");
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std::vector<int> params;
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params.push_back(IMWRITE_EXR_TYPE);
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params.push_back(IMWRITE_EXR_TYPE_HALF);
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#ifndef GENERATE_DATA
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const Mat img = cv::imread(filenameInput, IMREAD_UNCHANGED);
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#else
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const Size sz(64, 32);
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Mat img(sz, CV_32FC1, Scalar(0.5, 0.1, 1));
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img(Rect(10, 5, sz.width - 30, sz.height - 20)).setTo(Scalar(1, 0, 0));
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ASSERT_TRUE(cv::imwrite(filenameInput, img, params));
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#endif
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ASSERT_FALSE(img.empty());
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ASSERT_EQ(CV_32FC1,img.type());
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ASSERT_TRUE(cv::imwrite(filenameOutput, img, params));
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const Mat img2 = cv::imread(filenameOutput, IMREAD_UNCHANGED);
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ASSERT_EQ(img2.type(), img.type());
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ASSERT_EQ(img2.size(), img.size());
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EXPECT_LE(cvtest::norm(img, img2, NORM_INF | NORM_RELATIVE), 1e-3);
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EXPECT_EQ(0, remove(filenameOutput.c_str()));
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}
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TEST(Imgcodecs_EXR, readWrite_32FC3_half)
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{
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const string root = cvtest::TS::ptr()->get_data_path();
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const string filenameInput = root + "readwrite/test32FC3_half.exr";
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const string filenameOutput = cv::tempfile(".exr");
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std::vector<int> params;
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params.push_back(IMWRITE_EXR_TYPE);
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params.push_back(IMWRITE_EXR_TYPE_HALF);
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#ifndef GENERATE_DATA
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const Mat img = cv::imread(filenameInput, IMREAD_UNCHANGED);
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#else
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const Size sz(64, 32);
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Mat img(sz, CV_32FC3, Scalar(0.5, 0.1, 1));
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img(Rect(10, 5, sz.width - 30, sz.height - 20)).setTo(Scalar(1, 0, 0));
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ASSERT_TRUE(cv::imwrite(filenameInput, img, params));
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#endif
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ASSERT_FALSE(img.empty());
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ASSERT_EQ(CV_32FC3, img.type());
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ASSERT_TRUE(cv::imwrite(filenameOutput, img, params));
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const Mat img2 = cv::imread(filenameOutput, IMREAD_UNCHANGED);
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ASSERT_EQ(img2.type(), img.type());
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ASSERT_EQ(img2.size(), img.size());
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EXPECT_LE(cvtest::norm(img, img2, NORM_INF | NORM_RELATIVE), 1e-3);
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EXPECT_EQ(0, remove(filenameOutput.c_str()));
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}
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TEST(Imgcodecs_EXR, readWrite_32FC1_PIZ)
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{
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const string root = cvtest::TS::ptr()->get_data_path();
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const string filenameInput = root + "readwrite/test32FC1.exr";
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const string filenameOutput = cv::tempfile(".exr");
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const Mat img = cv::imread(filenameInput, IMREAD_UNCHANGED);
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ASSERT_FALSE(img.empty());
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ASSERT_EQ(CV_32FC1, img.type());
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std::vector<int> params;
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params.push_back(IMWRITE_EXR_COMPRESSION);
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params.push_back(IMWRITE_EXR_COMPRESSION_PIZ);
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ASSERT_TRUE(cv::imwrite(filenameOutput, img, params));
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// Check generated file size to ensure that it's compressed with proper options
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ASSERT_EQ(849u, getFileSize(filenameOutput));
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const Mat img2 = cv::imread(filenameOutput, IMREAD_UNCHANGED);
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ASSERT_EQ(img2.type(), img.type());
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ASSERT_EQ(img2.size(), img.size());
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EXPECT_LE(cvtest::norm(img, img2, NORM_INF | NORM_RELATIVE), 1e-3);
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EXPECT_EQ(0, remove(filenameOutput.c_str()));
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}
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// Note: YC to GRAYSCALE (IMREAD_GRAYSCALE | IMREAD_ANYDEPTH)
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// outputs a black image,
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// as does Y to RGB (IMREAD_COLOR | IMREAD_ANYDEPTH).
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// This behavoir predates adding EXR alpha support issue
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// 16115.
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TEST(Imgcodecs_EXR, read_YA_ignore_alpha)
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{
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const string root = cvtest::TS::ptr()->get_data_path();
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const string filenameInput = root + "readwrite/test_YA.exr";
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const Mat img = cv::imread(filenameInput, IMREAD_GRAYSCALE | IMREAD_ANYDEPTH);
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ASSERT_FALSE(img.empty());
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ASSERT_EQ(CV_32FC1, img.type());
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// Writing Y covered by test 32FC1
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}
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TEST(Imgcodecs_EXR, read_YA_unchanged)
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{
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const string root = cvtest::TS::ptr()->get_data_path();
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const string filenameInput = root + "readwrite/test_YA.exr";
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const Mat img = cv::imread(filenameInput, IMREAD_UNCHANGED);
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ASSERT_FALSE(img.empty());
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ASSERT_EQ(CV_32FC2, img.type());
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// Cannot test writing, 2 channel writing not suppported by loadsave
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}
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TEST(Imgcodecs_EXR, read_YC_changeDepth)
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{
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const string root = cvtest::TS::ptr()->get_data_path();
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const string filenameInput = root + "readwrite/test_YRYBY.exr";
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const Mat img = cv::imread(filenameInput, IMREAD_COLOR);
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ASSERT_FALSE(img.empty());
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ASSERT_EQ(CV_8UC3, img.type());
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// Cannot test writing, EXR encoder doesn't support 8U depth
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}
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TEST(Imgcodecs_EXR, readwrite_YCA_ignore_alpha)
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{
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const string root = cvtest::TS::ptr()->get_data_path();
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const string filenameInput = root + "readwrite/test_YRYBYA.exr";
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const string filenameOutput = cv::tempfile(".exr");
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const Mat img = cv::imread(filenameInput, IMREAD_COLOR | IMREAD_ANYDEPTH);
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ASSERT_FALSE(img.empty());
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ASSERT_EQ(CV_32FC3, img.type());
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ASSERT_TRUE(cv::imwrite(filenameOutput, img));
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const Mat img2 = cv::imread(filenameOutput, IMREAD_UNCHANGED);
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ASSERT_EQ(img2.type(), img.type());
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ASSERT_EQ(img2.size(), img.size());
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EXPECT_LE(cvtest::norm(img, img2, NORM_INF | NORM_RELATIVE), 1e-3);
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EXPECT_EQ(0, remove(filenameOutput.c_str()));
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}
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TEST(Imgcodecs_EXR, read_YC_unchanged)
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{
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const string root = cvtest::TS::ptr()->get_data_path();
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const string filenameInput = root + "readwrite/test_YRYBY.exr";
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const Mat img = cv::imread(filenameInput, IMREAD_UNCHANGED);
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ASSERT_FALSE(img.empty());
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ASSERT_EQ(CV_32FC3, img.type());
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// Writing YC covered by test readwrite_YCA_ignore_alpha
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}
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TEST(Imgcodecs_EXR, readwrite_YCA_unchanged)
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{
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const string root = cvtest::TS::ptr()->get_data_path();
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const string filenameInput = root + "readwrite/test_YRYBYA.exr";
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const string filenameOutput = cv::tempfile(".exr");
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const Mat img = cv::imread(filenameInput, IMREAD_UNCHANGED);
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ASSERT_FALSE(img.empty());
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ASSERT_EQ(CV_32FC4, img.type());
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ASSERT_TRUE(cv::imwrite(filenameOutput, img));
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const Mat img2 = cv::imread(filenameOutput, IMREAD_UNCHANGED);
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ASSERT_EQ(img2.type(), img.type());
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ASSERT_EQ(img2.size(), img.size());
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EXPECT_LE(cvtest::norm(img, img2, NORM_INF | NORM_RELATIVE), 1e-3);
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EXPECT_EQ(0, remove(filenameOutput.c_str()));
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}
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TEST(Imgcodecs_EXR, readwrite_RGBA_togreyscale)
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{
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const string root = cvtest::TS::ptr()->get_data_path();
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const string filenameInput = root + "readwrite/test_GeneratedRGBA.exr";
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const string filenameOutput = cv::tempfile(".exr");
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const Mat img = cv::imread(filenameInput, IMREAD_GRAYSCALE | IMREAD_ANYDEPTH);
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ASSERT_FALSE(img.empty());
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ASSERT_EQ(CV_32FC1, img.type());
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ASSERT_TRUE(cv::imwrite(filenameOutput, img));
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const Mat img2 = cv::imread(filenameOutput, IMREAD_UNCHANGED);
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ASSERT_EQ(img2.type(), img.type());
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ASSERT_EQ(img2.size(), img.size());
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EXPECT_LE(cvtest::norm(img, img2, NORM_INF | NORM_RELATIVE), 1e-3);
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EXPECT_EQ(0, remove(filenameOutput.c_str()));
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}
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TEST(Imgcodecs_EXR, read_RGBA_ignore_alpha)
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{
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const string root = cvtest::TS::ptr()->get_data_path();
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const string filenameInput = root + "readwrite/test_GeneratedRGBA.exr";
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const Mat img = cv::imread(filenameInput, IMREAD_COLOR | IMREAD_ANYDEPTH);
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ASSERT_FALSE(img.empty());
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ASSERT_EQ(CV_32FC3, img.type());
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// Writing RGB covered by test 32FC3
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}
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TEST(Imgcodecs_EXR, read_RGBA_unchanged)
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{
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const string root = cvtest::TS::ptr()->get_data_path();
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const string filenameInput = root + "readwrite/test_GeneratedRGBA.exr";
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const string filenameOutput = cv::tempfile(".exr");
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#ifndef GENERATE_DATA
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const Mat img = cv::imread(filenameInput, IMREAD_UNCHANGED);
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#else
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const Size sz(64, 32);
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Mat img(sz, CV_32FC4, Scalar(0.5, 0.1, 1, 1));
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img(Rect(10, 5, sz.width - 30, sz.height - 20)).setTo(Scalar(1, 0, 0, 1));
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img(Rect(10, 20, sz.width - 30, sz.height - 20)).setTo(Scalar(1, 1, 0, 0));
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ASSERT_TRUE(cv::imwrite(filenameInput, img));
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#endif
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ASSERT_FALSE(img.empty());
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ASSERT_EQ(CV_32FC4, img.type());
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ASSERT_TRUE(cv::imwrite(filenameOutput, img));
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const Mat img2 = cv::imread(filenameOutput, IMREAD_UNCHANGED);
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ASSERT_EQ(img2.type(), img.type());
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ASSERT_EQ(img2.size(), img.size());
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EXPECT_LE(cvtest::norm(img, img2, NORM_INF | NORM_RELATIVE), 1e-3);
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EXPECT_EQ(0, remove(filenameOutput.c_str()));
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}
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}} // namespace
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