Open Source Computer Vision Library https://opencv.org/
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// 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_PNG
TEST(Imgcodecs_Png, write_big)
{
const string root = cvtest::TS::ptr()->get_data_path();
const string filename = root + "readwrite/read.png";
const string dst_file = cv::tempfile(".png");
Mat img;
ASSERT_NO_THROW(img = imread(filename));
ASSERT_FALSE(img.empty());
EXPECT_EQ(13043, img.cols);
EXPECT_EQ(13917, img.rows);
ASSERT_NO_THROW(imwrite(dst_file, img));
EXPECT_EQ(0, remove(dst_file.c_str()));
}
TEST(Imgcodecs_Png, encode)
{
vector<uchar> buff;
Mat img_gt = Mat::zeros(1000, 1000, CV_8U);
vector<int> param;
param.push_back(IMWRITE_PNG_COMPRESSION);
param.push_back(3); //default(3) 0-9.
EXPECT_NO_THROW(imencode(".png", img_gt, buff, param));
Mat img;
EXPECT_NO_THROW(img = imdecode(buff, IMREAD_ANYDEPTH)); // hang
EXPECT_FALSE(img.empty());
EXPECT_PRED_FORMAT2(cvtest::MatComparator(0, 0), img, img_gt);
}
TEST(Imgcodecs_Png, regression_ImreadVSCvtColor)
{
const string root = cvtest::TS::ptr()->get_data_path();
const string imgName = root + "../cv/shared/lena.png";
Mat original_image = imread(imgName);
Mat gray_by_codec = imread(imgName, IMREAD_GRAYSCALE);
Mat gray_by_cvt;
cvtColor(original_image, gray_by_cvt, COLOR_BGR2GRAY);
Mat diff;
absdiff(gray_by_codec, gray_by_cvt, diff);
EXPECT_LT(cvtest::mean(diff)[0], 1.);
EXPECT_PRED_FORMAT2(cvtest::MatComparator(10, 0), gray_by_codec, gray_by_cvt);
}
// Test OpenCV issue 3075 is solved
TEST(Imgcodecs_Png, read_color_palette_with_alpha)
{
const string root = cvtest::TS::ptr()->get_data_path();
Mat img;
// First Test : Read PNG with alpha, imread flag -1
img = imread(root + "readwrite/color_palette_alpha.png", IMREAD_UNCHANGED);
ASSERT_FALSE(img.empty());
ASSERT_TRUE(img.channels() == 4);
// pixel is red in BGRA
EXPECT_EQ(img.at<Vec4b>(0, 0), Vec4b(0, 0, 255, 255));
EXPECT_EQ(img.at<Vec4b>(0, 1), Vec4b(0, 0, 255, 255));
// Second Test : Read PNG without alpha, imread flag -1
img = imread(root + "readwrite/color_palette_no_alpha.png", IMREAD_UNCHANGED);
ASSERT_FALSE(img.empty());
ASSERT_TRUE(img.channels() == 3);
// pixel is red in BGR
EXPECT_EQ(img.at<Vec3b>(0, 0), Vec3b(0, 0, 255));
EXPECT_EQ(img.at<Vec3b>(0, 1), Vec3b(0, 0, 255));
// Third Test : Read PNG with alpha, imread flag 1
img = imread(root + "readwrite/color_palette_alpha.png", IMREAD_COLOR);
ASSERT_FALSE(img.empty());
ASSERT_TRUE(img.channels() == 3);
// pixel is red in BGR
EXPECT_EQ(img.at<Vec3b>(0, 0), Vec3b(0, 0, 255));
EXPECT_EQ(img.at<Vec3b>(0, 1), Vec3b(0, 0, 255));
// Fourth Test : Read PNG without alpha, imread flag 1
img = imread(root + "readwrite/color_palette_no_alpha.png", IMREAD_COLOR);
ASSERT_FALSE(img.empty());
ASSERT_TRUE(img.channels() == 3);
// pixel is red in BGR
EXPECT_EQ(img.at<Vec3b>(0, 0), Vec3b(0, 0, 255));
EXPECT_EQ(img.at<Vec3b>(0, 1), Vec3b(0, 0, 255));
}
/**
* Test for check whether reading exif orientation tag was processed successfully or not
* The test info is the set of 8 images named testExifRotate_{1 to 8}.png
* The test image is the square 10x10 points divided by four sub-squares:
* (R corresponds to Red, G to Green, B to Blue, W to white)
* --------- ---------
* | R | G | | G | R |
* |-------| - (tag 1) |-------| - (tag 2)
* | B | W | | W | B |
* --------- ---------
*
* --------- ---------
* | W | B | | B | W |
* |-------| - (tag 3) |-------| - (tag 4)
* | G | R | | R | G |
* --------- ---------
*
* --------- ---------
* | R | B | | G | W |
* |-------| - (tag 5) |-------| - (tag 6)
* | G | W | | R | B |
* --------- ---------
*
* --------- ---------
* | W | G | | B | R |
* |-------| - (tag 7) |-------| - (tag 8)
* | B | R | | W | G |
* --------- ---------
*
*
* Every image contains exif field with orientation tag (0x112)
* After reading each image and applying the orientation tag,
* the resulting image should be:
* ---------
* | R | G |
* |-------|
* | B | W |
* ---------
*
*/
typedef testing::TestWithParam<string> Imgcodecs_PNG_Exif;
// Solution to issue 16579: PNG read doesn't support Exif orientation data
#ifdef OPENCV_IMGCODECS_PNG_WITH_EXIF
TEST_P(Imgcodecs_PNG_Exif, exif_orientation)
#else
TEST_P(Imgcodecs_PNG_Exif, DISABLED_exif_orientation)
#endif
{
const string root = cvtest::TS::ptr()->get_data_path();
const string filename = root + GetParam();
const int colorThresholdHigh = 250;
const int colorThresholdLow = 5;
Mat m_img = imread(filename);
ASSERT_FALSE(m_img.empty());
Vec3b vec;
//Checking the first quadrant (with supposed red)
vec = m_img.at<Vec3b>(2, 2); //some point inside the square
EXPECT_LE(vec.val[0], colorThresholdLow);
EXPECT_LE(vec.val[1], colorThresholdLow);
EXPECT_GE(vec.val[2], colorThresholdHigh);
//Checking the second quadrant (with supposed green)
vec = m_img.at<Vec3b>(2, 7); //some point inside the square
EXPECT_LE(vec.val[0], colorThresholdLow);
EXPECT_GE(vec.val[1], colorThresholdHigh);
EXPECT_LE(vec.val[2], colorThresholdLow);
//Checking the third quadrant (with supposed blue)
vec = m_img.at<Vec3b>(7, 2); //some point inside the square
EXPECT_GE(vec.val[0], colorThresholdHigh);
EXPECT_LE(vec.val[1], colorThresholdLow);
EXPECT_LE(vec.val[2], colorThresholdLow);
}
const string exif_files[] =
{
"readwrite/testExifOrientation_1.png",
"readwrite/testExifOrientation_2.png",
"readwrite/testExifOrientation_3.png",
"readwrite/testExifOrientation_4.png",
"readwrite/testExifOrientation_5.png",
"readwrite/testExifOrientation_6.png",
"readwrite/testExifOrientation_7.png",
"readwrite/testExifOrientation_8.png"
};
INSTANTIATE_TEST_CASE_P(ExifFiles, Imgcodecs_PNG_Exif,
testing::ValuesIn(exif_files));
#endif // HAVE_PNG
}} // namespace