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Open Source Computer Vision Library
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244 lines
6.9 KiB
244 lines
6.9 KiB
// 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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/* < <file_name, image_size>, <imread mode, scale> > */ |
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typedef tuple< tuple<string, Size>, tuple<ImreadModes, int> > Imgcodecs_Resize_t; |
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typedef testing::TestWithParam< Imgcodecs_Resize_t > Imgcodecs_Resize; |
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/* resize_flag_and_dims = <imread_flag, scale>*/ |
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const tuple <ImreadModes, int> resize_flag_and_dims[] = |
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{ |
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make_tuple(IMREAD_UNCHANGED, 1), |
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make_tuple(IMREAD_REDUCED_GRAYSCALE_2, 2), |
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make_tuple(IMREAD_REDUCED_GRAYSCALE_4, 4), |
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make_tuple(IMREAD_REDUCED_GRAYSCALE_8, 8), |
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make_tuple(IMREAD_REDUCED_COLOR_2, 2), |
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make_tuple(IMREAD_REDUCED_COLOR_4, 4), |
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make_tuple(IMREAD_REDUCED_COLOR_8, 8) |
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}; |
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const tuple<string, Size> images[] = |
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{ |
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#ifdef HAVE_JPEG |
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make_tuple<string, Size>("../cv/imgproc/stuff.jpg", Size(640, 480)), |
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#endif |
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#ifdef HAVE_PNG |
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make_tuple<string, Size>("../cv/shared/pic1.png", Size(400, 300)), |
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#endif |
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}; |
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TEST_P(Imgcodecs_Resize, imread_reduce_flags) |
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{ |
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const string file_name = findDataFile(get<0>(get<0>(GetParam()))); |
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const Size imageSize = get<1>(get<0>(GetParam())); |
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const int imread_flag = get<0>(get<1>(GetParam())); |
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const int scale = get<1>(get<1>(GetParam())); |
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const int cols = imageSize.width / scale; |
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const int rows = imageSize.height / scale; |
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{ |
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Mat img = imread(file_name, imread_flag); |
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ASSERT_FALSE(img.empty()); |
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EXPECT_EQ(cols, img.cols); |
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EXPECT_EQ(rows, img.rows); |
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} |
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} |
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//================================================================================================== |
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TEST_P(Imgcodecs_Resize, imdecode_reduce_flags) |
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{ |
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const string file_name = findDataFile(get<0>(get<0>(GetParam()))); |
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const Size imageSize = get<1>(get<0>(GetParam())); |
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const int imread_flag = get<0>(get<1>(GetParam())); |
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const int scale = get<1>(get<1>(GetParam())); |
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const int cols = imageSize.width / scale; |
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const int rows = imageSize.height / scale; |
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const std::ios::openmode mode = std::ios::in | std::ios::binary; |
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std::ifstream ifs(file_name.c_str(), mode); |
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ASSERT_TRUE(ifs.is_open()); |
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ifs.seekg(0, std::ios::end); |
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const size_t sz = static_cast<size_t>(ifs.tellg()); |
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ifs.seekg(0, std::ios::beg); |
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std::vector<char> content(sz); |
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ifs.read((char*)content.data(), sz); |
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ASSERT_FALSE(ifs.fail()); |
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{ |
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Mat img = imdecode(Mat(content), imread_flag); |
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ASSERT_FALSE(img.empty()); |
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EXPECT_EQ(cols, img.cols); |
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EXPECT_EQ(rows, img.rows); |
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} |
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} |
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//================================================================================================== |
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INSTANTIATE_TEST_CASE_P(/*nothing*/, Imgcodecs_Resize, |
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testing::Combine( |
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testing::ValuesIn(images), |
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testing::ValuesIn(resize_flag_and_dims) |
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) |
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); |
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//================================================================================================== |
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TEST(Imgcodecs_Image, read_write_bmp) |
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{ |
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const size_t IMAGE_COUNT = 10; |
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const double thresDbell = 32; |
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for (size_t i = 0; i < IMAGE_COUNT; ++i) |
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{ |
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stringstream s; s << i; |
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const string digit = s.str(); |
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const string src_name = TS::ptr()->get_data_path() + "../python/images/QCIF_0" + digit + ".bmp"; |
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const string dst_name = cv::tempfile((digit + ".bmp").c_str()); |
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Mat image = imread(src_name); |
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ASSERT_FALSE(image.empty()); |
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resize(image, image, Size(968, 757), 0.0, 0.0, INTER_CUBIC); |
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imwrite(dst_name, image); |
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Mat loaded = imread(dst_name); |
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ASSERT_FALSE(loaded.empty()); |
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double psnr = cvtest::PSNR(loaded, image); |
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EXPECT_GT(psnr, thresDbell); |
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vector<uchar> from_file; |
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FILE *f = fopen(dst_name.c_str(), "rb"); |
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fseek(f, 0, SEEK_END); |
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long len = ftell(f); |
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from_file.resize((size_t)len); |
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fseek(f, 0, SEEK_SET); |
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from_file.resize(fread(&from_file[0], 1, from_file.size(), f)); |
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fclose(f); |
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vector<uchar> buf; |
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imencode(".bmp", image, buf); |
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ASSERT_EQ(buf, from_file); |
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Mat buf_loaded = imdecode(Mat(buf), 1); |
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ASSERT_FALSE(buf_loaded.empty()); |
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psnr = cvtest::PSNR(buf_loaded, image); |
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EXPECT_GT(psnr, thresDbell); |
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EXPECT_EQ(0, remove(dst_name.c_str())); |
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} |
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} |
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//================================================================================================== |
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typedef string Ext; |
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typedef testing::TestWithParam<Ext> Imgcodecs_Image; |
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TEST_P(Imgcodecs_Image, read_write) |
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{ |
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const string ext = this->GetParam(); |
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const string full_name = cv::tempfile(ext.c_str()); |
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const string _name = TS::ptr()->get_data_path() + "../cv/shared/baboon.png"; |
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const double thresDbell = 32; |
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Mat image = imread(_name); |
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image.convertTo(image, CV_8UC3); |
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ASSERT_FALSE(image.empty()); |
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imwrite(full_name, image); |
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Mat loaded = imread(full_name); |
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ASSERT_FALSE(loaded.empty()); |
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double psnr = cvtest::PSNR(loaded, image); |
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EXPECT_GT(psnr, thresDbell); |
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vector<uchar> from_file; |
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FILE *f = fopen(full_name.c_str(), "rb"); |
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fseek(f, 0, SEEK_END); |
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long len = ftell(f); |
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from_file.resize((size_t)len); |
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fseek(f, 0, SEEK_SET); |
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from_file.resize(fread(&from_file[0], 1, from_file.size(), f)); |
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fclose(f); |
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vector<uchar> buf; |
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imencode("." + ext, image, buf); |
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ASSERT_EQ(buf, from_file); |
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Mat buf_loaded = imdecode(Mat(buf), 1); |
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ASSERT_FALSE(buf_loaded.empty()); |
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psnr = cvtest::PSNR(buf_loaded, image); |
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EXPECT_GT(psnr, thresDbell); |
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EXPECT_EQ(0, remove(full_name.c_str())); |
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} |
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const string exts[] = { |
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#ifdef HAVE_PNG |
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"png", |
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#endif |
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#ifdef HAVE_TIFF |
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"tiff", |
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#endif |
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#ifdef HAVE_JPEG |
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"jpg", |
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#endif |
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#if defined(HAVE_JASPER) && defined(OPENCV_IMGCODECS_ENABLE_JASPER_TESTS) |
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"jp2", |
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#endif |
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#if 0 /*defined HAVE_OPENEXR && !defined __APPLE__*/ |
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"exr", |
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#endif |
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"bmp", |
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#ifdef HAVE_IMGCODEC_PXM |
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"ppm", |
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#endif |
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#ifdef HAVE_IMGCODEC_SUNRASTER |
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"ras", |
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#endif |
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}; |
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INSTANTIATE_TEST_CASE_P(imgcodecs, Imgcodecs_Image, testing::ValuesIn(exts)); |
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TEST(Imgcodecs_Image, regression_9376) |
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{ |
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String path = findDataFile("readwrite/regression_9376.bmp"); |
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Mat m = imread(path); |
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ASSERT_FALSE(m.empty()); |
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EXPECT_EQ(32, m.cols); |
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EXPECT_EQ(32, m.rows); |
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} |
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//================================================================================================== |
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TEST(Imgcodecs_Image, write_umat) |
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{ |
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const string src_name = TS::ptr()->get_data_path() + "../python/images/baboon.bmp"; |
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const string dst_name = cv::tempfile(".bmp"); |
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Mat image1 = imread(src_name); |
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ASSERT_FALSE(image1.empty()); |
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UMat image1_umat = image1.getUMat(ACCESS_RW); |
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imwrite(dst_name, image1_umat); |
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Mat image2 = imread(dst_name); |
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ASSERT_FALSE(image2.empty()); |
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EXPECT_PRED_FORMAT2(cvtest::MatComparator(0, 0), image1, image2); |
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EXPECT_EQ(0, remove(dst_name.c_str())); |
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} |
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}} // namespace
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