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Open Source Computer Vision Library
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118 lines
4.1 KiB
118 lines
4.1 KiB
6 years ago
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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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TEST(Imgcodecs_EXR, readWrite_32FC1)
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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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#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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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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{
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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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}} // namespace
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