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132 lines
3.3 KiB
C++
132 lines
3.3 KiB
C++
#include "test_precomp.hpp"
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#include <fstream>
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#include <sstream>
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#include <iostream>
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using namespace cv;
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using namespace std;
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using namespace cvtest;
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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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#ifdef HAVE_JASPER
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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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"ppm",
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"ras"
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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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