mirror of
https://github.com/opencv/opencv.git
synced 2024-12-11 22:59:16 +08:00
ba5ddd6499
- more checks - drop separate branches for 32FC1/32FC3(read) handling - added for 32F/64F non-compressed - added tests for 32FC3 (RAW + hdr SGILOG compression) - added test 64FC1 - dump tiff errors on stderr
339 lines
13 KiB
C++
339 lines
13 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"
|
|
|
|
namespace opencv_test { namespace {
|
|
|
|
#ifdef HAVE_TIFF
|
|
|
|
// these defines are used to resolve conflict between tiff.h and opencv2/core/types_c.h
|
|
#define uint64 uint64_hack_
|
|
#define int64 int64_hack_
|
|
#include "tiff.h"
|
|
|
|
#ifdef __ANDROID__
|
|
// Test disabled as it uses a lot of memory.
|
|
// It is killed with SIGKILL by out of memory killer.
|
|
TEST(Imgcodecs_Tiff, DISABLED_decode_tile16384x16384)
|
|
#else
|
|
TEST(Imgcodecs_Tiff, decode_tile16384x16384)
|
|
#endif
|
|
{
|
|
// see issue #2161
|
|
cv::Mat big(16384, 16384, CV_8UC1, cv::Scalar::all(0));
|
|
string file3 = cv::tempfile(".tiff");
|
|
string file4 = cv::tempfile(".tiff");
|
|
|
|
std::vector<int> params;
|
|
params.push_back(TIFFTAG_ROWSPERSTRIP);
|
|
params.push_back(big.rows);
|
|
EXPECT_NO_THROW(cv::imwrite(file4, big, params));
|
|
EXPECT_NO_THROW(cv::imwrite(file3, big.colRange(0, big.cols - 1), params));
|
|
big.release();
|
|
|
|
try
|
|
{
|
|
cv::imread(file3, IMREAD_UNCHANGED);
|
|
EXPECT_NO_THROW(cv::imread(file4, IMREAD_UNCHANGED));
|
|
}
|
|
catch(const std::bad_alloc&)
|
|
{
|
|
// not enough memory
|
|
}
|
|
|
|
EXPECT_EQ(0, remove(file3.c_str()));
|
|
EXPECT_EQ(0, remove(file4.c_str()));
|
|
}
|
|
|
|
TEST(Imgcodecs_Tiff, write_read_16bit_big_little_endian)
|
|
{
|
|
// see issue #2601 "16-bit Grayscale TIFF Load Failures Due to Buffer Underflow and Endianness"
|
|
|
|
// Setup data for two minimal 16-bit grayscale TIFF files in both endian formats
|
|
uchar tiff_sample_data[2][86] = { {
|
|
// Little endian
|
|
0x49, 0x49, 0x2a, 0x00, 0x0c, 0x00, 0x00, 0x00, 0xad, 0xde, 0xef, 0xbe, 0x06, 0x00, 0x00, 0x01,
|
|
0x03, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x01, 0x03, 0x00, 0x01, 0x00,
|
|
0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x01, 0x03, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00,
|
|
0x00, 0x00, 0x06, 0x01, 0x03, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x11, 0x01,
|
|
0x04, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x17, 0x01, 0x04, 0x00, 0x01, 0x00,
|
|
0x00, 0x00, 0x04, 0x00, 0x00, 0x00 }, {
|
|
// Big endian
|
|
0x4d, 0x4d, 0x00, 0x2a, 0x00, 0x00, 0x00, 0x0c, 0xde, 0xad, 0xbe, 0xef, 0x00, 0x06, 0x01, 0x00,
|
|
0x00, 0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x02, 0x00, 0x00, 0x01, 0x01, 0x00, 0x03, 0x00, 0x00,
|
|
0x00, 0x01, 0x00, 0x01, 0x00, 0x00, 0x01, 0x02, 0x00, 0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x10,
|
|
0x00, 0x00, 0x01, 0x06, 0x00, 0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x01, 0x00, 0x00, 0x01, 0x11,
|
|
0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x01, 0x17, 0x00, 0x04, 0x00, 0x00,
|
|
0x00, 0x01, 0x00, 0x00, 0x00, 0x04 }
|
|
};
|
|
|
|
// Test imread() for both a little endian TIFF and big endian TIFF
|
|
for (int i = 0; i < 2; i++)
|
|
{
|
|
string filename = cv::tempfile(".tiff");
|
|
|
|
// Write sample TIFF file
|
|
FILE* fp = fopen(filename.c_str(), "wb");
|
|
ASSERT_TRUE(fp != NULL);
|
|
ASSERT_EQ((size_t)1, fwrite(tiff_sample_data[i], 86, 1, fp));
|
|
fclose(fp);
|
|
|
|
Mat img = imread(filename, IMREAD_UNCHANGED);
|
|
|
|
EXPECT_EQ(1, img.rows);
|
|
EXPECT_EQ(2, img.cols);
|
|
EXPECT_EQ(CV_16U, img.type());
|
|
EXPECT_EQ(sizeof(ushort), img.elemSize());
|
|
EXPECT_EQ(1, img.channels());
|
|
EXPECT_EQ(0xDEAD, img.at<ushort>(0,0));
|
|
EXPECT_EQ(0xBEEF, img.at<ushort>(0,1));
|
|
|
|
EXPECT_EQ(0, remove(filename.c_str()));
|
|
}
|
|
}
|
|
|
|
TEST(Imgcodecs_Tiff, decode_tile_remainder)
|
|
{
|
|
/* see issue #3472 - dealing with tiled images where the tile size is
|
|
* not a multiple of image size.
|
|
* The tiled images were created with 'convert' from ImageMagick,
|
|
* using the command 'convert <input> -define tiff:tile-geometry=128x128 -depth [8|16] <output>
|
|
* Note that the conversion to 16 bits expands the range from 0-255 to 0-255*255,
|
|
* so the test converts back but rounding errors cause small differences.
|
|
*/
|
|
const string root = cvtest::TS::ptr()->get_data_path();
|
|
cv::Mat img = imread(root + "readwrite/non_tiled.tif",-1);
|
|
ASSERT_FALSE(img.empty());
|
|
ASSERT_TRUE(img.channels() == 3);
|
|
cv::Mat tiled8 = imread(root + "readwrite/tiled_8.tif", -1);
|
|
ASSERT_FALSE(tiled8.empty());
|
|
ASSERT_PRED_FORMAT2(cvtest::MatComparator(0, 0), img, tiled8);
|
|
cv::Mat tiled16 = imread(root + "readwrite/tiled_16.tif", -1);
|
|
ASSERT_FALSE(tiled16.empty());
|
|
ASSERT_TRUE(tiled16.elemSize() == 6);
|
|
tiled16.convertTo(tiled8, CV_8UC3, 1./256.);
|
|
ASSERT_PRED_FORMAT2(cvtest::MatComparator(2, 0), img, tiled8);
|
|
// What about 32, 64 bit?
|
|
}
|
|
|
|
TEST(Imgcodecs_Tiff, decode_infinite_rowsperstrip)
|
|
{
|
|
const uchar sample_data[142] = {
|
|
0x49, 0x49, 0x2a, 0x00, 0x10, 0x00, 0x00, 0x00, 0x56, 0x54,
|
|
0x56, 0x5a, 0x59, 0x55, 0x5a, 0x00, 0x0a, 0x00, 0x00, 0x01,
|
|
0x03, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
|
|
0x01, 0x01, 0x03, 0x00, 0x01, 0x00, 0x00, 0x00, 0x07, 0x00,
|
|
0x00, 0x00, 0x02, 0x01, 0x03, 0x00, 0x01, 0x00, 0x00, 0x00,
|
|
0x08, 0x00, 0x00, 0x00, 0x03, 0x01, 0x03, 0x00, 0x01, 0x00,
|
|
0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x06, 0x01, 0x03, 0x00,
|
|
0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x11, 0x01,
|
|
0x04, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00,
|
|
0x15, 0x01, 0x03, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00,
|
|
0x00, 0x00, 0x16, 0x01, 0x04, 0x00, 0x01, 0x00, 0x00, 0x00,
|
|
0xff, 0xff, 0xff, 0xff, 0x17, 0x01, 0x04, 0x00, 0x01, 0x00,
|
|
0x00, 0x00, 0x07, 0x00, 0x00, 0x00, 0x1c, 0x01, 0x03, 0x00,
|
|
0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00,
|
|
0x00, 0x00
|
|
};
|
|
|
|
const string filename = cv::tempfile(".tiff");
|
|
std::ofstream outfile(filename.c_str(), std::ofstream::binary);
|
|
outfile.write(reinterpret_cast<const char *>(sample_data), sizeof sample_data);
|
|
outfile.close();
|
|
|
|
EXPECT_NO_THROW(cv::imread(filename, IMREAD_UNCHANGED));
|
|
|
|
EXPECT_EQ(0, remove(filename.c_str()));
|
|
}
|
|
|
|
TEST(Imgcodecs_Tiff, readWrite_32FC1)
|
|
{
|
|
const string root = cvtest::TS::ptr()->get_data_path();
|
|
const string filenameInput = root + "readwrite/test32FC1.tiff";
|
|
const string filenameOutput = cv::tempfile(".tiff");
|
|
const Mat img = cv::imread(filenameInput, IMREAD_UNCHANGED);
|
|
ASSERT_FALSE(img.empty());
|
|
ASSERT_EQ(CV_32FC1,img.type());
|
|
|
|
ASSERT_TRUE(cv::imwrite(filenameOutput, img));
|
|
const Mat img2 = cv::imread(filenameOutput, IMREAD_UNCHANGED);
|
|
ASSERT_EQ(img2.type(), img.type());
|
|
ASSERT_EQ(img2.size(), img.size());
|
|
EXPECT_LE(cvtest::norm(img, img2, NORM_INF | NORM_RELATIVE), 1e-3);
|
|
EXPECT_EQ(0, remove(filenameOutput.c_str()));
|
|
}
|
|
|
|
TEST(Imgcodecs_Tiff, readWrite_64FC1)
|
|
{
|
|
const string root = cvtest::TS::ptr()->get_data_path();
|
|
const string filenameInput = root + "readwrite/test64FC1.tiff";
|
|
const string filenameOutput = cv::tempfile(".tiff");
|
|
const Mat img = cv::imread(filenameInput, IMREAD_UNCHANGED);
|
|
ASSERT_FALSE(img.empty());
|
|
ASSERT_EQ(CV_64FC1, img.type());
|
|
|
|
ASSERT_TRUE(cv::imwrite(filenameOutput, img));
|
|
const Mat img2 = cv::imread(filenameOutput, IMREAD_UNCHANGED);
|
|
ASSERT_EQ(img2.type(), img.type());
|
|
ASSERT_EQ(img2.size(), img.size());
|
|
EXPECT_LE(cvtest::norm(img, img2, NORM_INF | NORM_RELATIVE), 1e-3);
|
|
EXPECT_EQ(0, remove(filenameOutput.c_str()));
|
|
}
|
|
|
|
TEST(Imgcodecs_Tiff, readWrite_32FC3_SGILOG)
|
|
{
|
|
const string root = cvtest::TS::ptr()->get_data_path();
|
|
const string filenameInput = root + "readwrite/test32FC3_sgilog.tiff";
|
|
const string filenameOutput = cv::tempfile(".tiff");
|
|
const Mat img = cv::imread(filenameInput, IMREAD_UNCHANGED);
|
|
ASSERT_FALSE(img.empty());
|
|
ASSERT_EQ(CV_32FC3, img.type());
|
|
|
|
ASSERT_TRUE(cv::imwrite(filenameOutput, img));
|
|
const Mat img2 = cv::imread(filenameOutput, IMREAD_UNCHANGED);
|
|
ASSERT_EQ(img2.type(), img.type());
|
|
ASSERT_EQ(img2.size(), img.size());
|
|
EXPECT_LE(cvtest::norm(img, img2, NORM_INF | NORM_RELATIVE), 0.01);
|
|
EXPECT_EQ(0, remove(filenameOutput.c_str()));
|
|
}
|
|
|
|
TEST(Imgcodecs_Tiff, readWrite_32FC3_RAW)
|
|
{
|
|
const string root = cvtest::TS::ptr()->get_data_path();
|
|
const string filenameInput = root + "readwrite/test32FC3_raw.tiff";
|
|
const string filenameOutput = cv::tempfile(".tiff");
|
|
const Mat img = cv::imread(filenameInput, IMREAD_UNCHANGED);
|
|
ASSERT_FALSE(img.empty());
|
|
ASSERT_EQ(CV_32FC3, img.type());
|
|
|
|
std::vector<int> params;
|
|
params.push_back(IMWRITE_TIFF_COMPRESSION);
|
|
params.push_back(1/*COMPRESSION_NONE*/);
|
|
|
|
ASSERT_TRUE(cv::imwrite(filenameOutput, img, params));
|
|
const Mat img2 = cv::imread(filenameOutput, IMREAD_UNCHANGED);
|
|
ASSERT_EQ(img2.type(), img.type());
|
|
ASSERT_EQ(img2.size(), img.size());
|
|
EXPECT_LE(cvtest::norm(img, img2, NORM_INF | NORM_RELATIVE), 1e-3);
|
|
EXPECT_EQ(0, remove(filenameOutput.c_str()));
|
|
}
|
|
|
|
|
|
//==================================================================================================
|
|
|
|
typedef testing::TestWithParam<int> Imgcodecs_Tiff_Modes;
|
|
|
|
TEST_P(Imgcodecs_Tiff_Modes, decode_multipage)
|
|
{
|
|
const int mode = GetParam();
|
|
const string root = cvtest::TS::ptr()->get_data_path();
|
|
const string filename = root + "readwrite/multipage.tif";
|
|
const string page_files[] = {
|
|
"readwrite/multipage_p1.tif",
|
|
"readwrite/multipage_p2.tif",
|
|
"readwrite/multipage_p3.tif",
|
|
"readwrite/multipage_p4.tif",
|
|
"readwrite/multipage_p5.tif",
|
|
"readwrite/multipage_p6.tif"
|
|
};
|
|
const size_t page_count = sizeof(page_files)/sizeof(page_files[0]);
|
|
vector<Mat> pages;
|
|
bool res = imreadmulti(filename, pages, mode);
|
|
ASSERT_TRUE(res == true);
|
|
ASSERT_EQ(page_count, pages.size());
|
|
for (size_t i = 0; i < page_count; i++)
|
|
{
|
|
const Mat page = imread(root + page_files[i], mode);
|
|
EXPECT_PRED_FORMAT2(cvtest::MatComparator(0, 0), page, pages[i]);
|
|
}
|
|
}
|
|
|
|
const int all_modes[] =
|
|
{
|
|
IMREAD_UNCHANGED,
|
|
IMREAD_GRAYSCALE,
|
|
IMREAD_COLOR,
|
|
IMREAD_ANYDEPTH,
|
|
IMREAD_ANYCOLOR
|
|
};
|
|
|
|
INSTANTIATE_TEST_CASE_P(AllModes, Imgcodecs_Tiff_Modes, testing::ValuesIn(all_modes));
|
|
|
|
//==================================================================================================
|
|
|
|
TEST(Imgcodecs_Tiff_Modes, write_multipage)
|
|
{
|
|
const string root = cvtest::TS::ptr()->get_data_path();
|
|
const string filename = root + "readwrite/multipage.tif";
|
|
const string page_files[] = {
|
|
"readwrite/multipage_p1.tif",
|
|
"readwrite/multipage_p2.tif",
|
|
"readwrite/multipage_p3.tif",
|
|
"readwrite/multipage_p4.tif",
|
|
"readwrite/multipage_p5.tif",
|
|
"readwrite/multipage_p6.tif"
|
|
};
|
|
const size_t page_count = sizeof(page_files) / sizeof(page_files[0]);
|
|
vector<Mat> pages;
|
|
for (size_t i = 0; i < page_count; i++)
|
|
{
|
|
const Mat page = imread(root + page_files[i]);
|
|
pages.push_back(page);
|
|
}
|
|
|
|
string tmp_filename = cv::tempfile(".tiff");
|
|
bool res = imwrite(tmp_filename, pages);
|
|
ASSERT_TRUE(res);
|
|
|
|
vector<Mat> read_pages;
|
|
imreadmulti(tmp_filename, read_pages);
|
|
for (size_t i = 0; i < page_count; i++)
|
|
{
|
|
EXPECT_PRED_FORMAT2(cvtest::MatComparator(0, 0), read_pages[i], pages[i]);
|
|
}
|
|
}
|
|
|
|
//==================================================================================================
|
|
|
|
TEST(Imgcodecs_Tiff, imdecode_no_exception_temporary_file_removed)
|
|
{
|
|
const string root = cvtest::TS::ptr()->get_data_path();
|
|
const string filename = root + "../cv/shared/lena.png";
|
|
cv::Mat img = cv::imread(filename);
|
|
ASSERT_FALSE(img.empty());
|
|
std::vector<uchar> buf;
|
|
EXPECT_NO_THROW(cv::imencode(".tiff", img, buf));
|
|
EXPECT_NO_THROW(cv::imdecode(buf, IMREAD_UNCHANGED));
|
|
}
|
|
|
|
|
|
TEST(Imgcodecs_Tiff, decode_black_and_write_image_pr12989)
|
|
{
|
|
const string filename = cvtest::findDataFile("readwrite/bitsperpixel1.tiff");
|
|
cv::Mat img;
|
|
ASSERT_NO_THROW(img = cv::imread(filename, IMREAD_GRAYSCALE));
|
|
ASSERT_FALSE(img.empty());
|
|
EXPECT_EQ(64, img.cols);
|
|
EXPECT_EQ(64, img.rows);
|
|
EXPECT_EQ(CV_8UC1, img.type()) << cv::typeToString(img.type());
|
|
// Check for 0/255 values only: 267 + 3829 = 64*64
|
|
EXPECT_EQ(267, countNonZero(img == 0));
|
|
EXPECT_EQ(3829, countNonZero(img == 255));
|
|
}
|
|
|
|
TEST(Imgcodecs_Tiff, decode_black_and_write_image_pr12989_default)
|
|
{
|
|
const string filename = cvtest::findDataFile("readwrite/bitsperpixel1.tiff");
|
|
cv::Mat img;
|
|
ASSERT_NO_THROW(img = cv::imread(filename)); // by default image type is CV_8UC3
|
|
ASSERT_FALSE(img.empty());
|
|
EXPECT_EQ(64, img.cols);
|
|
EXPECT_EQ(64, img.rows);
|
|
EXPECT_EQ(CV_8UC3, img.type()) << cv::typeToString(img.type());
|
|
}
|
|
|
|
#endif
|
|
|
|
}} // namespace
|