chore: import upstream snapshot with attribution
This commit is contained in:
wehub-resource-sync
@@ -0,0 +1,631 @@
|
||||
// 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
|
||||
#if defined(HAVE_PNG) || defined(HAVE_SPNG)
|
||||
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[] = {
|
||||
#if defined(HAVE_PNG) || defined(HAVE_SPNG)
|
||||
"png",
|
||||
#endif
|
||||
#ifdef HAVE_TIFF
|
||||
"tiff",
|
||||
#endif
|
||||
#ifdef HAVE_JPEG
|
||||
"jpg",
|
||||
#endif
|
||||
#ifdef HAVE_JPEGXL
|
||||
"jxl",
|
||||
#endif
|
||||
#if (defined(HAVE_JASPER) && defined(OPENCV_IMGCODECS_ENABLE_JASPER_TESTS)) \
|
||||
|| defined(HAVE_OPENJPEG)
|
||||
"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());
|
||||
|
||||
if (imreadFlag & IMREAD_COLOR_RGB && imreadFlag != -1)
|
||||
{
|
||||
cvtColor(buf_loaded, buf_loaded, COLOR_RGB2BGR);
|
||||
}
|
||||
|
||||
Mat loaded = imread(fname, imreadFlag);
|
||||
EXPECT_FALSE(loaded.empty());
|
||||
|
||||
if (imreadFlag & IMREAD_COLOR_RGB && imreadFlag != -1)
|
||||
{
|
||||
cvtColor(loaded, loaded, COLOR_RGB2BGR);
|
||||
}
|
||||
|
||||
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;
|
||||
if (ext == "jxl")
|
||||
psnrThreshold = 30;
|
||||
#if defined(HAVE_JASPER)
|
||||
if (ext == "jp2")
|
||||
psnrThreshold = 95;
|
||||
#elif defined(HAVE_OPENJPEG)
|
||||
if (ext == "jp2")
|
||||
psnrThreshold = 35;
|
||||
#endif
|
||||
|
||||
Mat image = generateTestImageBGR();
|
||||
EXPECT_NO_THROW(test_image_io(image, fname, ext, IMREAD_COLOR, psnrThreshold));
|
||||
EXPECT_NO_THROW(test_image_io(image, fname, ext, IMREAD_COLOR_RGB, 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;
|
||||
if (ext == "jxl")
|
||||
psnrThreshold = 40;
|
||||
#if defined(HAVE_JASPER)
|
||||
if (ext == "jp2")
|
||||
psnrThreshold = 70;
|
||||
#elif defined(HAVE_OPENJPEG)
|
||||
if (ext == "jp2")
|
||||
psnrThreshold = 35;
|
||||
#endif
|
||||
|
||||
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, imread_overload)
|
||||
{
|
||||
const string root = cvtest::TS::ptr()->get_data_path();
|
||||
const string imgName = findDataFile("../highgui/readwrite/ordinary.bmp");
|
||||
|
||||
Mat ref = imread(imgName);
|
||||
ASSERT_FALSE(ref.empty());
|
||||
{
|
||||
Mat img(ref.size(), ref.type(), Scalar::all(0)); // existing image
|
||||
void * ptr = img.data;
|
||||
imread(imgName, img);
|
||||
ASSERT_FALSE(img.empty());
|
||||
EXPECT_EQ(cv::norm(ref, img, NORM_INF), 0);
|
||||
EXPECT_EQ(img.data, ptr); // no reallocation
|
||||
}
|
||||
{
|
||||
Mat img; // empty image
|
||||
imread(imgName, img);
|
||||
ASSERT_FALSE(img.empty());
|
||||
EXPECT_EQ(cv::norm(ref, img, NORM_INF), 0);
|
||||
}
|
||||
{
|
||||
UMat img; // empty UMat
|
||||
imread(imgName, img);
|
||||
ASSERT_FALSE(img.empty());
|
||||
EXPECT_EQ(cv::norm(ref, img, NORM_INF), 0);
|
||||
}
|
||||
}
|
||||
|
||||
//==================================================================================================
|
||||
|
||||
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()));
|
||||
}
|
||||
|
||||
#ifdef HAVE_TIFF
|
||||
TEST(Imgcodecs_Image, multipage_collection_size)
|
||||
{
|
||||
const string root = cvtest::TS::ptr()->get_data_path();
|
||||
const string filename = root + "readwrite/multipage.tif";
|
||||
|
||||
ImageCollection collection(filename, IMREAD_ANYCOLOR);
|
||||
EXPECT_EQ((std::size_t)6, collection.size());
|
||||
}
|
||||
|
||||
TEST(Imgcodecs_Image, multipage_collection_read_pages_iterator)
|
||||
{
|
||||
const string root = cvtest::TS::ptr()->get_data_path();
|
||||
const string filename = root + "readwrite/multipage.tif";
|
||||
const string page_files[] = {
|
||||
root + "readwrite/multipage_p1.tif",
|
||||
root + "readwrite/multipage_p2.tif",
|
||||
root + "readwrite/multipage_p3.tif",
|
||||
root + "readwrite/multipage_p4.tif",
|
||||
root + "readwrite/multipage_p5.tif",
|
||||
root + "readwrite/multipage_p6.tif"
|
||||
};
|
||||
|
||||
ImageCollection collection(filename, IMREAD_ANYCOLOR);
|
||||
|
||||
auto collectionBegin = collection.begin();
|
||||
for(size_t i = 0; i < collection.size(); ++i, ++collectionBegin)
|
||||
{
|
||||
double diff = cv::norm(collectionBegin.operator*(), imread(page_files[i]), NORM_INF);
|
||||
EXPECT_EQ(0., diff);
|
||||
}
|
||||
}
|
||||
|
||||
TEST(Imgcodecs_Image, multipage_collection_two_iterator)
|
||||
{
|
||||
const string root = cvtest::TS::ptr()->get_data_path();
|
||||
const string filename = root + "readwrite/multipage.tif";
|
||||
const string page_files[] = {
|
||||
root + "readwrite/multipage_p1.tif",
|
||||
root + "readwrite/multipage_p2.tif",
|
||||
root + "readwrite/multipage_p3.tif",
|
||||
root + "readwrite/multipage_p4.tif",
|
||||
root + "readwrite/multipage_p5.tif",
|
||||
root + "readwrite/multipage_p6.tif"
|
||||
};
|
||||
|
||||
ImageCollection collection(filename, IMREAD_ANYCOLOR);
|
||||
auto firstIter = collection.begin();
|
||||
auto secondIter = collection.begin();
|
||||
|
||||
// Decode all odd pages then decode even pages -> 1, 0, 3, 2 ...
|
||||
firstIter++;
|
||||
for(size_t i = 1; i < collection.size(); i += 2, ++firstIter, ++firstIter, ++secondIter, ++secondIter) {
|
||||
Mat mat = *firstIter;
|
||||
double diff = cv::norm(mat, imread(page_files[i]), NORM_INF);
|
||||
EXPECT_EQ(0., diff);
|
||||
Mat evenMat = *secondIter;
|
||||
diff = cv::norm(evenMat, imread(page_files[i-1]), NORM_INF);
|
||||
EXPECT_EQ(0., diff);
|
||||
}
|
||||
}
|
||||
|
||||
TEST(Imgcodecs_Image, multipage_collection_operator_plusplus)
|
||||
{
|
||||
const string root = cvtest::TS::ptr()->get_data_path();
|
||||
const string filename = root + "readwrite/multipage.tif";
|
||||
|
||||
// operator++ test
|
||||
ImageCollection collection(filename, IMREAD_ANYCOLOR);
|
||||
auto firstIter = collection.begin();
|
||||
auto secondIter = firstIter++;
|
||||
|
||||
// firstIter points to second page, secondIter points to first page
|
||||
double diff = cv::norm(*firstIter, *secondIter, NORM_INF);
|
||||
EXPECT_NE(diff, 0.);
|
||||
}
|
||||
|
||||
TEST(Imgcodecs_Image, multipage_collection_backward_decoding)
|
||||
{
|
||||
const string root = cvtest::TS::ptr()->get_data_path();
|
||||
const string filename = root + "readwrite/multipage.tif";
|
||||
const string page_files[] = {
|
||||
root + "readwrite/multipage_p1.tif",
|
||||
root + "readwrite/multipage_p2.tif",
|
||||
root + "readwrite/multipage_p3.tif",
|
||||
root + "readwrite/multipage_p4.tif",
|
||||
root + "readwrite/multipage_p5.tif",
|
||||
root + "readwrite/multipage_p6.tif"
|
||||
};
|
||||
|
||||
ImageCollection collection(filename, IMREAD_ANYCOLOR);
|
||||
EXPECT_EQ((size_t)6, collection.size());
|
||||
|
||||
// backward decoding -> 5,4,3,2,1,0
|
||||
for(int i = (int)collection.size() - 1; i >= 0; --i)
|
||||
{
|
||||
cv::Mat ithPage = imread(page_files[i]);
|
||||
EXPECT_FALSE(ithPage.empty());
|
||||
double diff = cv::norm(collection[i], ithPage, NORM_INF);
|
||||
EXPECT_EQ(diff, 0.);
|
||||
}
|
||||
|
||||
for(int i = 0; i < (int)collection.size(); ++i)
|
||||
{
|
||||
collection.releaseCache(i);
|
||||
}
|
||||
|
||||
double diff = cv::norm(collection[2], imread(page_files[2]), NORM_INF);
|
||||
EXPECT_EQ(diff, 0.);
|
||||
}
|
||||
|
||||
TEST(ImgCodecs, multipage_collection_decoding_range_based_for_loop_test)
|
||||
{
|
||||
const string root = cvtest::TS::ptr()->get_data_path();
|
||||
const string filename = root + "readwrite/multipage.tif";
|
||||
const string page_files[] = {
|
||||
root + "readwrite/multipage_p1.tif",
|
||||
root + "readwrite/multipage_p2.tif",
|
||||
root + "readwrite/multipage_p3.tif",
|
||||
root + "readwrite/multipage_p4.tif",
|
||||
root + "readwrite/multipage_p5.tif",
|
||||
root + "readwrite/multipage_p6.tif"
|
||||
};
|
||||
|
||||
ImageCollection collection(filename, IMREAD_ANYCOLOR);
|
||||
|
||||
size_t index = 0;
|
||||
for(auto &i: collection)
|
||||
{
|
||||
cv::Mat ithPage = imread(page_files[index]);
|
||||
EXPECT_FALSE(ithPage.empty());
|
||||
double diff = cv::norm(i, ithPage, NORM_INF);
|
||||
EXPECT_EQ(0., diff);
|
||||
++index;
|
||||
}
|
||||
EXPECT_EQ(index, collection.size());
|
||||
|
||||
index = 0;
|
||||
for(auto &&i: collection)
|
||||
{
|
||||
cv::Mat ithPage = imread(page_files[index]);
|
||||
EXPECT_FALSE(ithPage.empty());
|
||||
double diff = cv::norm(i, ithPage, NORM_INF);
|
||||
EXPECT_EQ(0., diff);
|
||||
++index;
|
||||
}
|
||||
EXPECT_EQ(index, collection.size());
|
||||
}
|
||||
|
||||
TEST(ImgCodecs, multipage_collection_two_iterator_operatorpp)
|
||||
{
|
||||
const string root = cvtest::TS::ptr()->get_data_path();
|
||||
const string filename = root + "readwrite/multipage.tif";
|
||||
|
||||
ImageCollection imcol(filename, IMREAD_ANYCOLOR);
|
||||
|
||||
auto it0 = imcol.begin(), it1 = it0, it2 = it0;
|
||||
vector<Mat> img(6);
|
||||
for (int i = 0; i < 6; i++) {
|
||||
img[i] = *it0;
|
||||
it0->release();
|
||||
++it0;
|
||||
}
|
||||
|
||||
for (int i = 0; i < 3; i++) {
|
||||
++it2;
|
||||
}
|
||||
|
||||
for (int i = 0; i < 3; i++) {
|
||||
auto img2 = *it2;
|
||||
auto img1 = *it1;
|
||||
++it2;
|
||||
++it1;
|
||||
EXPECT_TRUE(cv::norm(img2, img[i+3], NORM_INF) == 0);
|
||||
EXPECT_TRUE(cv::norm(img1, img[i], NORM_INF) == 0);
|
||||
}
|
||||
}
|
||||
|
||||
// See https://github.com/opencv/opencv/issues/26207
|
||||
TEST(Imgcodecs, imencodemulti_regression_26207)
|
||||
{
|
||||
vector<Mat> imgs;
|
||||
const cv::Mat img(100, 100, CV_8UC1, cv::Scalar::all(0));
|
||||
imgs.push_back(img);
|
||||
std::vector<uchar> buf;
|
||||
bool ret = false;
|
||||
|
||||
// Encode single image
|
||||
EXPECT_NO_THROW(ret = imencode(".tiff", img, buf));
|
||||
EXPECT_TRUE(ret);
|
||||
EXPECT_NO_THROW(ret = imencode(".tiff", imgs, buf));
|
||||
EXPECT_TRUE(ret);
|
||||
EXPECT_NO_THROW(ret = imencodemulti(".tiff", imgs, buf));
|
||||
EXPECT_TRUE(ret);
|
||||
|
||||
// Encode multiple images
|
||||
imgs.push_back(img.clone());
|
||||
EXPECT_NO_THROW(ret = imencode(".tiff", imgs, buf));
|
||||
EXPECT_TRUE(ret);
|
||||
EXPECT_NO_THROW(ret = imencodemulti(".tiff", imgs, buf));
|
||||
EXPECT_TRUE(ret);
|
||||
|
||||
// Count stored images from buffer.
|
||||
// imcount() doesn't support buffer, so encoded buffer outputs to file temporary.
|
||||
const size_t len = buf.size();
|
||||
const string filename = cv::tempfile(".tiff");
|
||||
FILE *f = fopen(filename.c_str(), "wb");
|
||||
EXPECT_NE(f, nullptr);
|
||||
EXPECT_EQ(len, fwrite(&buf[0], 1, len, f));
|
||||
fclose(f);
|
||||
|
||||
EXPECT_EQ(2, (int)imcount(filename));
|
||||
EXPECT_EQ(0, remove(filename.c_str()));
|
||||
}
|
||||
#endif
|
||||
|
||||
// See https://github.com/opencv/opencv/pull/26211
|
||||
// ( related with https://github.com/opencv/opencv/issues/26207 )
|
||||
TEST(Imgcodecs, imencode_regression_26207_extra)
|
||||
{
|
||||
// CV_32F is not supported depth for BMP Encoder.
|
||||
// Encoded buffer contains CV_8U image which is fallbacked.
|
||||
const cv::Mat src(100, 100, CV_32FC1, cv::Scalar::all(0));
|
||||
std::vector<uchar> buf;
|
||||
bool ret = false;
|
||||
EXPECT_NO_THROW(ret = imencode(".bmp", src, buf));
|
||||
EXPECT_TRUE(ret);
|
||||
|
||||
cv::Mat dst;
|
||||
EXPECT_NO_THROW(dst = imdecode(buf, IMREAD_GRAYSCALE));
|
||||
EXPECT_FALSE(dst.empty());
|
||||
EXPECT_EQ(CV_8UC1, dst.type());
|
||||
}
|
||||
TEST(Imgcodecs, imwrite_regression_26207_extra)
|
||||
{
|
||||
// CV_32F is not supported depth for BMP Encoder.
|
||||
// Encoded buffer contains CV_8U image which is fallbacked.
|
||||
const cv::Mat src(100, 100, CV_32FC1, cv::Scalar::all(0));
|
||||
const string filename = cv::tempfile(".bmp");
|
||||
bool ret = false;
|
||||
EXPECT_NO_THROW(ret = imwrite(filename, src));
|
||||
EXPECT_TRUE(ret);
|
||||
|
||||
cv::Mat dst;
|
||||
EXPECT_NO_THROW(dst = imread(filename, IMREAD_GRAYSCALE));
|
||||
EXPECT_FALSE(dst.empty());
|
||||
EXPECT_EQ(CV_8UC1, dst.type());
|
||||
EXPECT_EQ(0, remove(filename.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
|
||||
}
|
||||
|
||||
TEST(Imgcodecs, decode_over2GB)
|
||||
{
|
||||
applyTestTag(CV_TEST_TAG_MEMORY_6GB);
|
||||
// empty buffer more than 2GB size
|
||||
std::vector<uint8_t> buf(size_t(INT_MAX) + 4096);
|
||||
cv::Mat dst;
|
||||
EXPECT_THROW(dst = cv::imdecode(buf, cv::IMREAD_COLOR), cv::Exception);
|
||||
}
|
||||
|
||||
}} // namespace
|
||||
Reference in New Issue
Block a user