mirror of
https://github.com/opencv/opencv.git
synced 2024-12-16 10:29:11 +08:00
311 lines
9.1 KiB
C++
311 lines
9.1 KiB
C++
// This file is part of OpenCV project.
|
|
// It is subject to the license terms in the LICENSE file found in the top-level directory
|
|
// of this distribution and at http://opencv.org/license.html
|
|
#include "test_precomp.hpp"
|
|
#include "test_common.hpp"
|
|
|
|
namespace opencv_test { namespace {
|
|
|
|
/* < <file_name, image_size>, <imread mode, scale> > */
|
|
typedef tuple< tuple<string, Size>, tuple<ImreadModes, int> > Imgcodecs_Resize_t;
|
|
|
|
typedef testing::TestWithParam< Imgcodecs_Resize_t > Imgcodecs_Resize;
|
|
|
|
/* resize_flag_and_dims = <imread_flag, scale>*/
|
|
const tuple <ImreadModes, int> resize_flag_and_dims[] =
|
|
{
|
|
make_tuple(IMREAD_UNCHANGED, 1),
|
|
make_tuple(IMREAD_REDUCED_GRAYSCALE_2, 2),
|
|
make_tuple(IMREAD_REDUCED_GRAYSCALE_4, 4),
|
|
make_tuple(IMREAD_REDUCED_GRAYSCALE_8, 8),
|
|
make_tuple(IMREAD_REDUCED_COLOR_2, 2),
|
|
make_tuple(IMREAD_REDUCED_COLOR_4, 4),
|
|
make_tuple(IMREAD_REDUCED_COLOR_8, 8)
|
|
};
|
|
|
|
const tuple<string, Size> images[] =
|
|
{
|
|
#ifdef HAVE_JPEG
|
|
make_tuple<string, Size>("../cv/imgproc/stuff.jpg", Size(640, 480)),
|
|
#endif
|
|
#ifdef HAVE_PNG
|
|
make_tuple<string, Size>("../cv/shared/pic1.png", Size(400, 300)),
|
|
#endif
|
|
make_tuple<string, Size>("../highgui/readwrite/ordinary.bmp", Size(480, 272)),
|
|
};
|
|
|
|
TEST_P(Imgcodecs_Resize, imread_reduce_flags)
|
|
{
|
|
const string file_name = findDataFile(get<0>(get<0>(GetParam())));
|
|
const Size imageSize = get<1>(get<0>(GetParam()));
|
|
|
|
const int imread_flag = get<0>(get<1>(GetParam()));
|
|
const int scale = get<1>(get<1>(GetParam()));
|
|
|
|
const int cols = imageSize.width / scale;
|
|
const int rows = imageSize.height / scale;
|
|
{
|
|
Mat img = imread(file_name, imread_flag);
|
|
ASSERT_FALSE(img.empty());
|
|
EXPECT_EQ(cols, img.cols);
|
|
EXPECT_EQ(rows, img.rows);
|
|
}
|
|
}
|
|
|
|
//==================================================================================================
|
|
|
|
TEST_P(Imgcodecs_Resize, imdecode_reduce_flags)
|
|
{
|
|
const string file_name = findDataFile(get<0>(get<0>(GetParam())));
|
|
const Size imageSize = get<1>(get<0>(GetParam()));
|
|
|
|
const int imread_flag = get<0>(get<1>(GetParam()));
|
|
const int scale = get<1>(get<1>(GetParam()));
|
|
|
|
const int cols = imageSize.width / scale;
|
|
const int rows = imageSize.height / scale;
|
|
|
|
const std::ios::openmode mode = std::ios::in | std::ios::binary;
|
|
std::ifstream ifs(file_name.c_str(), mode);
|
|
ASSERT_TRUE(ifs.is_open());
|
|
|
|
ifs.seekg(0, std::ios::end);
|
|
const size_t sz = static_cast<size_t>(ifs.tellg());
|
|
ifs.seekg(0, std::ios::beg);
|
|
|
|
std::vector<char> content(sz);
|
|
ifs.read((char*)content.data(), sz);
|
|
ASSERT_FALSE(ifs.fail());
|
|
|
|
{
|
|
Mat img = imdecode(Mat(content), imread_flag);
|
|
ASSERT_FALSE(img.empty());
|
|
EXPECT_EQ(cols, img.cols);
|
|
EXPECT_EQ(rows, img.rows);
|
|
}
|
|
}
|
|
|
|
//==================================================================================================
|
|
|
|
INSTANTIATE_TEST_CASE_P(/*nothing*/, Imgcodecs_Resize,
|
|
testing::Combine(
|
|
testing::ValuesIn(images),
|
|
testing::ValuesIn(resize_flag_and_dims)
|
|
)
|
|
);
|
|
|
|
//==================================================================================================
|
|
|
|
TEST(Imgcodecs_Image, read_write_bmp)
|
|
{
|
|
const size_t IMAGE_COUNT = 10;
|
|
const double thresDbell = 32;
|
|
|
|
for (size_t i = 0; i < IMAGE_COUNT; ++i)
|
|
{
|
|
stringstream s; s << i;
|
|
const string digit = s.str();
|
|
const string src_name = TS::ptr()->get_data_path() + "../python/images/QCIF_0" + digit + ".bmp";
|
|
const string dst_name = cv::tempfile((digit + ".bmp").c_str());
|
|
Mat image = imread(src_name);
|
|
ASSERT_FALSE(image.empty());
|
|
|
|
resize(image, image, Size(968, 757), 0.0, 0.0, INTER_CUBIC);
|
|
imwrite(dst_name, image);
|
|
Mat loaded = imread(dst_name);
|
|
ASSERT_FALSE(loaded.empty());
|
|
|
|
double psnr = cvtest::PSNR(loaded, image);
|
|
EXPECT_GT(psnr, thresDbell);
|
|
|
|
vector<uchar> from_file;
|
|
|
|
FILE *f = fopen(dst_name.c_str(), "rb");
|
|
fseek(f, 0, SEEK_END);
|
|
long len = ftell(f);
|
|
from_file.resize((size_t)len);
|
|
fseek(f, 0, SEEK_SET);
|
|
from_file.resize(fread(&from_file[0], 1, from_file.size(), f));
|
|
fclose(f);
|
|
|
|
vector<uchar> buf;
|
|
imencode(".bmp", image, buf);
|
|
ASSERT_EQ(buf, from_file);
|
|
|
|
Mat buf_loaded = imdecode(Mat(buf), 1);
|
|
ASSERT_FALSE(buf_loaded.empty());
|
|
|
|
psnr = cvtest::PSNR(buf_loaded, image);
|
|
EXPECT_GT(psnr, thresDbell);
|
|
|
|
EXPECT_EQ(0, remove(dst_name.c_str()));
|
|
}
|
|
}
|
|
|
|
//==================================================================================================
|
|
|
|
typedef string Ext;
|
|
typedef testing::TestWithParam<Ext> Imgcodecs_Image;
|
|
|
|
const string exts[] = {
|
|
#ifdef HAVE_PNG
|
|
"png",
|
|
#endif
|
|
#ifdef HAVE_TIFF
|
|
"tiff",
|
|
#endif
|
|
#ifdef HAVE_JPEG
|
|
"jpg",
|
|
#endif
|
|
#if defined(HAVE_JASPER) && defined(OPENCV_IMGCODECS_ENABLE_JASPER_TESTS)
|
|
"jp2",
|
|
#endif
|
|
#if 0 /*defined HAVE_OPENEXR && !defined __APPLE__*/
|
|
"exr",
|
|
#endif
|
|
"bmp",
|
|
#ifdef HAVE_IMGCODEC_PXM
|
|
"ppm",
|
|
#endif
|
|
#ifdef HAVE_IMGCODEC_SUNRASTER
|
|
"ras",
|
|
#endif
|
|
};
|
|
|
|
static
|
|
void test_image_io(const Mat& image, const std::string& fname, const std::string& ext, int imreadFlag, double psnrThreshold)
|
|
{
|
|
vector<uchar> buf;
|
|
ASSERT_NO_THROW(imencode("." + ext, image, buf));
|
|
|
|
ASSERT_NO_THROW(imwrite(fname, image));
|
|
|
|
FILE *f = fopen(fname.c_str(), "rb");
|
|
fseek(f, 0, SEEK_END);
|
|
long len = ftell(f);
|
|
cout << "File size: " << len << " bytes" << endl;
|
|
EXPECT_GT(len, 1024) << "File is small. Test or implementation is broken";
|
|
fseek(f, 0, SEEK_SET);
|
|
vector<uchar> file_buf((size_t)len);
|
|
EXPECT_EQ(len, (long)fread(&file_buf[0], 1, (size_t)len, f));
|
|
fclose(f); f = NULL;
|
|
|
|
EXPECT_EQ(buf, file_buf) << "imwrite() / imencode() calls must provide the same output (bit-exact)";
|
|
|
|
Mat buf_loaded = imdecode(Mat(buf), imreadFlag);
|
|
EXPECT_FALSE(buf_loaded.empty());
|
|
|
|
Mat loaded = imread(fname, imreadFlag);
|
|
EXPECT_FALSE(loaded.empty());
|
|
|
|
EXPECT_EQ(0, cv::norm(loaded, buf_loaded, NORM_INF)) << "imread() and imdecode() calls must provide the same result (bit-exact)";
|
|
|
|
double psnr = cvtest::PSNR(loaded, image);
|
|
EXPECT_GT(psnr, psnrThreshold);
|
|
|
|
// not necessary due bitexact check above
|
|
//double buf_psnr = cvtest::PSNR(buf_loaded, image);
|
|
//EXPECT_GT(buf_psnr, psnrThreshold);
|
|
|
|
#if 0 // debug
|
|
if (psnr <= psnrThreshold /*|| buf_psnr <= thresDbell*/)
|
|
{
|
|
cout << "File: " << fname << endl;
|
|
imshow("origin", image);
|
|
imshow("imread", loaded);
|
|
imshow("imdecode", buf_loaded);
|
|
waitKey();
|
|
}
|
|
#endif
|
|
}
|
|
|
|
TEST_P(Imgcodecs_Image, read_write_BGR)
|
|
{
|
|
const string ext = this->GetParam();
|
|
const string fname = cv::tempfile(ext.c_str());
|
|
|
|
double psnrThreshold = 100;
|
|
if (ext == "jpg")
|
|
psnrThreshold = 32;
|
|
|
|
Mat image = generateTestImageBGR();
|
|
EXPECT_NO_THROW(test_image_io(image, fname, ext, IMREAD_COLOR, psnrThreshold));
|
|
|
|
EXPECT_EQ(0, remove(fname.c_str()));
|
|
}
|
|
|
|
TEST_P(Imgcodecs_Image, read_write_GRAYSCALE)
|
|
{
|
|
const string ext = this->GetParam();
|
|
|
|
if (false
|
|
|| ext == "ppm" // grayscale is not implemented
|
|
|| ext == "ras" // broken (black result)
|
|
)
|
|
throw SkipTestException("GRAYSCALE mode is not supported");
|
|
|
|
const string fname = cv::tempfile(ext.c_str());
|
|
|
|
double psnrThreshold = 100;
|
|
if (ext == "jpg")
|
|
psnrThreshold = 40;
|
|
|
|
Mat image = generateTestImageGrayscale();
|
|
EXPECT_NO_THROW(test_image_io(image, fname, ext, IMREAD_GRAYSCALE, psnrThreshold));
|
|
|
|
EXPECT_EQ(0, remove(fname.c_str()));
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(imgcodecs, Imgcodecs_Image, testing::ValuesIn(exts));
|
|
|
|
TEST(Imgcodecs_Image, regression_9376)
|
|
{
|
|
String path = findDataFile("readwrite/regression_9376.bmp");
|
|
Mat m = imread(path);
|
|
ASSERT_FALSE(m.empty());
|
|
EXPECT_EQ(32, m.cols);
|
|
EXPECT_EQ(32, m.rows);
|
|
}
|
|
|
|
//==================================================================================================
|
|
|
|
TEST(Imgcodecs_Image, write_umat)
|
|
{
|
|
const string src_name = TS::ptr()->get_data_path() + "../python/images/baboon.bmp";
|
|
const string dst_name = cv::tempfile(".bmp");
|
|
|
|
Mat image1 = imread(src_name);
|
|
ASSERT_FALSE(image1.empty());
|
|
|
|
UMat image1_umat = image1.getUMat(ACCESS_RW);
|
|
|
|
imwrite(dst_name, image1_umat);
|
|
|
|
Mat image2 = imread(dst_name);
|
|
ASSERT_FALSE(image2.empty());
|
|
|
|
EXPECT_PRED_FORMAT2(cvtest::MatComparator(0, 0), image1, image2);
|
|
EXPECT_EQ(0, remove(dst_name.c_str()));
|
|
}
|
|
|
|
TEST(Imgcodecs_Params, imwrite_regression_22752)
|
|
{
|
|
const Mat img(16, 16, CV_8UC3, cv::Scalar::all(0));
|
|
vector<int> params;
|
|
params.push_back(IMWRITE_JPEG_QUALITY);
|
|
// params.push_back(100)); // Forget it.
|
|
EXPECT_ANY_THROW(cv::imwrite("test.jpg", img, params)); // parameters size or missing JPEG codec
|
|
}
|
|
|
|
TEST(Imgcodecs_Params, imencode_regression_22752)
|
|
{
|
|
const Mat img(16, 16, CV_8UC3, cv::Scalar::all(0));
|
|
vector<int> params;
|
|
params.push_back(IMWRITE_JPEG_QUALITY);
|
|
// params.push_back(100)); // Forget it.
|
|
vector<uchar> buf;
|
|
EXPECT_ANY_THROW(cv::imencode("test.jpg", img, buf, params)); // parameters size or missing JPEG codec
|
|
}
|
|
|
|
}} // namespace
|