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Merge pull request #27503 from sturkmen72:metadata
[GSOC 2025] PNG&WebP Metadata Reading Writing Improvements #27503 Merge with https://github.com/opencv/opencv_extra/pull/1271 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake
This commit is contained in:
Suleyman TURKMEN
GitHub
@@ -9,7 +9,142 @@
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namespace opencv_test { namespace {
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/**
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static Mat makeCirclesImage(Size size, int type, int nbits)
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{
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Mat img(size, type);
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img.setTo(Scalar::all(0));
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RNG& rng = theRNG();
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int maxval = (int)(1 << nbits);
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for (int i = 0; i < 100; i++) {
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int x = rng.uniform(0, img.cols);
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int y = rng.uniform(0, img.rows);
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int radius = rng.uniform(5, std::min(img.cols, img.rows) / 5);
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int b = rng.uniform(0, maxval);
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int g = rng.uniform(0, maxval);
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int r = rng.uniform(0, maxval);
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circle(img, Point(x, y), radius, Scalar(b, g, r), -1, LINE_AA);
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}
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return img;
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}
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static std::vector<uchar> getSampleExifData() {
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return {
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'M', 'M', 0, '*', 0, 0, 0, 8, 0, 10, 1, 0, 0, 4, 0, 0, 0, 1, 0, 0, 5,
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0, 1, 1, 0, 4, 0, 0, 0, 1, 0, 0, 2, 208, 1, 2, 0, 3, 0, 0, 0, 1,
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0, 10, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 1, 0, 0, 1, 14, 0, 2, 0, 0,
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0, '"', 0, 0, 0, 176, 1, '1', 0, 2, 0, 0, 0, 7, 0, 0, 0, 210, 1, 26,
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0, 5, 0, 0, 0, 1, 0, 0, 0, 218, 1, 27, 0, 5, 0, 0, 0, 1, 0, 0, 0,
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226, 1, '(', 0, 3, 0, 0, 0, 1, 0, 2, 0, 0, 135, 'i', 0, 4, 0, 0, 0,
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1, 0, 0, 0, 134, 0, 0, 0, 0, 0, 3, 144, 0, 0, 7, 0, 0, 0, 4, '0', '2',
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'2', '1', 160, 2, 0, 4, 0, 0, 0, 1, 0, 0, 5, 0, 160, 3, 0, 4, 0, 0,
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0, 1, 0, 0, 2, 208, 0, 0, 0, 0, 'S', 'a', 'm', 'p', 'l', 'e', ' ', '1', '0',
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'-', 'b', 'i', 't', ' ', 'i', 'm', 'a', 'g', 'e', ' ', 'w', 'i', 't', 'h', ' ',
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'm', 'e', 't', 'a', 'd', 'a', 't', 'a', 0, 'O', 'p', 'e', 'n', 'C', 'V', 0, 0,
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0, 0, 0, 'H', 0, 0, 0, 1, 0, 0, 0, 'H', 0, 0, 0, 1
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};
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}
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static std::vector<uchar> getSampleXmpData() {
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return {
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'<','x',':','x','m','p','m','e','t','a',' ','x','m','l','n','s',':','x','=',
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'"','a','d','o','b','e',':','x','m','p','"','>',
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'<','x','m','p',':','C','r','e','a','t','o','r','T','o','o','l','>',
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'O','p','e','n','C','V',
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'<','/','x','m','p',':','C','r','e','a','t','o','r','T','o','o','l','>',
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'<','/','x',':','x','m','p','m','e','t','a','>',0
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};
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}
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// Returns a Minimal ICC profile data (Generated with help from ChatGPT)
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static std::vector<uchar> getSampleIccpData() {
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std::vector<uchar> iccp_data(192, 0);
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iccp_data[3] = 192; // Profile size: 192 bytes
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iccp_data[12] = 'm';
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iccp_data[13] = 'n';
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iccp_data[14] = 't';
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iccp_data[15] = 'r';
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iccp_data[16] = 'R';
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iccp_data[17] = 'G';
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iccp_data[18] = 'B';
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iccp_data[19] = ' ';
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iccp_data[20] = 'X';
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iccp_data[21] = 'Y';
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iccp_data[22] = 'Z';
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iccp_data[23] = ' ';
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// File signature 'acsp' at offset 36 (0x24)
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iccp_data[36] = 'a';
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iccp_data[37] = 'c';
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iccp_data[38] = 's';
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iccp_data[39] = 'p';
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// Illuminant D50 at offset 68 (0x44), example values:
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iccp_data[68] = 0x00;
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iccp_data[69] = 0x00;
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iccp_data[70] = 0xF6;
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iccp_data[71] = 0xD6; // 0.9642
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iccp_data[72] = 0x00;
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iccp_data[73] = 0x01;
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iccp_data[74] = 0x00;
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iccp_data[75] = 0x00; // 1.0
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iccp_data[76] = 0x00;
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iccp_data[77] = 0x00;
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iccp_data[78] = 0xD3;
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iccp_data[79] = 0x2D; // 0.8249
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// Tag count at offset 128 (0x80) = 1
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iccp_data[131] = 1;
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// Tag record at offset 132 (0x84): signature 'desc', offset 128, size 64
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iccp_data[132] = 'd';
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iccp_data[133] = 'e';
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iccp_data[134] = 's';
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iccp_data[135] = 'c';
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iccp_data[139] = 128; // offset
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iccp_data[143] = 64; // size
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// Tag data 'desc' at offset 128 (start of tag data)
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// Set type 'desc' etc. here, for simplicity fill zeros
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iccp_data[144] = 'd';
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iccp_data[145] = 'e';
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iccp_data[146] = 's';
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iccp_data[147] = 'c';
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// ASCII string length at offset 156
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iccp_data[156] = 20; // length
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// ASCII string "Minimal ICC Profile" starting at offset 160
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iccp_data[160] = 'M';
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iccp_data[161] = 'i';
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iccp_data[162] = 'n';
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iccp_data[163] = 'i';
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iccp_data[164] = 'm';
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iccp_data[165] = 'a';
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iccp_data[166] = 'l';
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iccp_data[167] = ' ';
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iccp_data[168] = 'I';
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iccp_data[169] = 'C';
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iccp_data[170] = 'C';
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iccp_data[171] = ' ';
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iccp_data[172] = 'P';
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iccp_data[173] = 'r';
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iccp_data[174] = 'o';
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iccp_data[175] = 'f';
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iccp_data[176] = 'i';
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iccp_data[177] = 'l';
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iccp_data[178] = 'e';
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return iccp_data;
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}
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/**
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* Test to check whether the EXIF orientation tag was processed successfully or not.
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* The test uses a set of 8 images named testExifOrientation_{1 to 8}.(extension).
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* Each test image is a 10x10 square, divided into four smaller sub-squares:
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@@ -145,47 +280,24 @@ const std::vector<std::string> exif_files
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"readwrite/testExifOrientation_7.avif",
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"readwrite/testExifOrientation_8.avif",
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#endif
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#ifdef HAVE_WEBP
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"readwrite/testExifOrientation_1.webp",
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"readwrite/testExifOrientation_2.webp",
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"readwrite/testExifOrientation_3.webp",
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"readwrite/testExifOrientation_4.webp",
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"readwrite/testExifOrientation_5.webp",
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"readwrite/testExifOrientation_6.webp",
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"readwrite/testExifOrientation_7.webp",
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"readwrite/testExifOrientation_8.webp",
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#endif
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};
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INSTANTIATE_TEST_CASE_P(Imgcodecs, Exif,
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testing::ValuesIn(exif_files));
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static Mat makeCirclesImage(Size size, int type, int nbits)
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{
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Mat img(size, type);
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img.setTo(Scalar::all(0));
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RNG& rng = theRNG();
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int maxval = (int)(1 << nbits);
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for (int i = 0; i < 100; i++) {
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int x = rng.uniform(0, img.cols);
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int y = rng.uniform(0, img.rows);
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int radius = rng.uniform(5, std::min(img.cols, img.rows)/5);
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int b = rng.uniform(0, maxval);
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int g = rng.uniform(0, maxval);
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int r = rng.uniform(0, maxval);
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circle(img, Point(x, y), radius, Scalar(b, g, r), -1, LINE_AA);
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}
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return img;
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}
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#ifdef HAVE_AVIF
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TEST(Imgcodecs_Avif, ReadWriteWithExif)
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{
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static const uchar exif_data[] = {
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'M', 'M', 0, '*', 0, 0, 0, 8, 0, 10, 1, 0, 0, 4, 0, 0, 0, 1, 0, 0, 5,
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0, 1, 1, 0, 4, 0, 0, 0, 1, 0, 0, 2, 208, 1, 2, 0, 3, 0, 0, 0, 1,
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0, 10, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 1, 0, 0, 1, 14, 0, 2, 0, 0,
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0, '"', 0, 0, 0, 176, 1, '1', 0, 2, 0, 0, 0, 7, 0, 0, 0, 210, 1, 26,
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0, 5, 0, 0, 0, 1, 0, 0, 0, 218, 1, 27, 0, 5, 0, 0, 0, 1, 0, 0, 0,
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226, 1, '(', 0, 3, 0, 0, 0, 1, 0, 2, 0, 0, 135, 'i', 0, 4, 0, 0, 0,
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1, 0, 0, 0, 134, 0, 0, 0, 0, 0, 3, 144, 0, 0, 7, 0, 0, 0, 4, '0', '2',
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'2', '1', 160, 2, 0, 4, 0, 0, 0, 1, 0, 0, 5, 0, 160, 3, 0, 4, 0, 0,
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0, 1, 0, 0, 2, 208, 0, 0, 0, 0, 'S', 'a', 'm', 'p', 'l', 'e', ' ', '1', '0',
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'-', 'b', 'i', 't', ' ', 'i', 'm', 'a', 'g', 'e', ' ', 'w', 'i', 't', 'h', ' ',
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'm', 'e', 't', 'a', 'd', 'a', 't', 'a', 0, 'O', 'p', 'e', 'n', 'C', 'V', 0, 0,
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0, 0, 0, 'H', 0, 0, 0, 1, 0, 0, 0, 'H', 0, 0, 0, 1
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};
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int avif_nbits = 10;
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int avif_speed = 10;
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int avif_quality = 85;
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@@ -195,8 +307,8 @@ TEST(Imgcodecs_Avif, ReadWriteWithExif)
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Mat img = makeCirclesImage(Size(1280, 720), imgtype, avif_nbits);
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std::vector<int> metadata_types = {IMAGE_METADATA_EXIF};
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std::vector<std::vector<uchar> > metadata(1);
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metadata[0].assign(exif_data, exif_data + sizeof(exif_data));
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std::vector<std::vector<uchar>> metadata = {
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getSampleExifData() };
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std::vector<int> write_params = {
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IMWRITE_AVIF_DEPTH, avif_nbits,
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@@ -228,31 +340,63 @@ TEST(Imgcodecs_Avif, ReadWriteWithExif)
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}
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#endif // HAVE_AVIF
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TEST(Imgcodecs_Jpeg, ReadWriteWithExif)
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#ifdef HAVE_WEBP
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TEST(Imgcodecs_WebP, Read_Write_With_Exif_Xmp_Iccp)
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{
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static const uchar exif_data[] = {
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'M', 'M', 0, '*', 0, 0, 0, 8, 0, 10, 1, 0, 0, 4, 0, 0, 0, 1, 0, 0, 5,
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0, 1, 1, 0, 4, 0, 0, 0, 1, 0, 0, 2, 208, 1, 2, 0, 3, 0, 0, 0, 1,
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0, 8, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 1, 0, 0, 1, 14, 0, 2, 0, 0,
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0, '!', 0, 0, 0, 176, 1, '1', 0, 2, 0, 0, 0, 7, 0, 0, 0, 210, 1, 26,
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0, 5, 0, 0, 0, 1, 0, 0, 0, 218, 1, 27, 0, 5, 0, 0, 0, 1, 0, 0, 0,
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226, 1, '(', 0, 3, 0, 0, 0, 1, 0, 2, 0, 0, 135, 'i', 0, 4, 0, 0, 0,
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1, 0, 0, 0, 134, 0, 0, 0, 0, 0, 3, 144, 0, 0, 7, 0, 0, 0, 4, '0', '2',
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'2', '1', 160, 2, 0, 4, 0, 0, 0, 1, 0, 0, 5, 0, 160, 3, 0, 4, 0, 0,
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0, 1, 0, 0, 2, 208, 0, 0, 0, 0, 'S', 'a', 'm', 'p', 'l', 'e', ' ', '8', '-',
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'b', 'i', 't', ' ', 'i', 'm', 'a', 'g', 'e', ' ', 'w', 'i', 't', 'h', ' ', 'm',
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'e', 't', 'a', 'd', 'a', 't', 'a', 0, 0, 'O', 'p', 'e', 'n', 'C', 'V', 0, 0,
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0, 0, 0, 'H', 0, 0, 0, 1, 0, 0, 0, 'H', 0, 0, 0, 1
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int imgtype = CV_MAKETYPE(CV_8U, 3);
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const std::string outputname = cv::tempfile(".webp");
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cv::Mat img = makeCirclesImage(cv::Size(160, 120), imgtype, 8);
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std::vector<int> metadata_types = {IMAGE_METADATA_EXIF, IMAGE_METADATA_XMP, IMAGE_METADATA_ICCP};
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std::vector<std::vector<uchar>> metadata = {
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getSampleExifData(),
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getSampleXmpData(),
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getSampleIccpData()
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};
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int webp_quality = 101; // 101 is lossless compression
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std::vector<int> write_params = {IMWRITE_WEBP_QUALITY, webp_quality};
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imwriteWithMetadata(outputname, img, metadata_types, metadata, write_params);
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std::vector<uchar> compressed;
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imencodeWithMetadata(outputname, img, metadata_types, metadata, compressed, write_params);
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std::vector<int> read_metadata_types, read_metadata_types2;
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std::vector<std::vector<uchar>> read_metadata, read_metadata2;
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cv::Mat img2 = imreadWithMetadata(outputname, read_metadata_types, read_metadata, cv::IMREAD_UNCHANGED);
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cv::Mat img3 = imdecodeWithMetadata(compressed, read_metadata_types2, read_metadata2, cv::IMREAD_UNCHANGED);
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EXPECT_EQ(img2.cols, img.cols);
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EXPECT_EQ(img2.rows, img.rows);
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EXPECT_EQ(img2.type(), imgtype);
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EXPECT_EQ(read_metadata_types, read_metadata_types2);
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EXPECT_EQ(read_metadata_types.size(), 3u);
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EXPECT_EQ(read_metadata, read_metadata2);
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EXPECT_EQ(read_metadata, metadata);
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EXPECT_EQ(cv::norm(img2, img3, cv::NORM_INF), 0.0);
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double mse = cv::norm(img, img2, cv::NORM_L2SQR) / (img.rows * img.cols);
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EXPECT_EQ(mse, 0);
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remove(outputname.c_str());
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}
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#endif // HAVE_WEBP
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TEST(Imgcodecs_Jpeg, Read_Write_With_Exif)
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{
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int jpeg_quality = 95;
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int imgtype = CV_MAKETYPE(CV_8U, 3);
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const string outputname = cv::tempfile(".jpeg");
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Mat img = makeCirclesImage(Size(1280, 720), imgtype, 8);
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std::vector<int> metadata_types = {IMAGE_METADATA_EXIF};
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std::vector<std::vector<uchar> > metadata(1);
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metadata[0].assign(exif_data, exif_data + sizeof(exif_data));
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std::vector<std::vector<uchar>> metadata = {
|
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getSampleExifData() };
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std::vector<int> write_params = {
|
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IMWRITE_JPEG_QUALITY, jpeg_quality
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@@ -281,31 +425,16 @@ TEST(Imgcodecs_Jpeg, ReadWriteWithExif)
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remove(outputname.c_str());
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}
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|
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TEST(Imgcodecs_Png, ReadWriteWithExif)
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TEST(Imgcodecs_Png, Read_Write_With_Exif)
|
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{
|
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static const uchar exif_data[] = {
|
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'M', 'M', 0, '*', 0, 0, 0, 8, 0, 10, 1, 0, 0, 4, 0, 0, 0, 1, 0, 0, 5,
|
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0, 1, 1, 0, 4, 0, 0, 0, 1, 0, 0, 2, 208, 1, 2, 0, 3, 0, 0, 0, 1,
|
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0, 8, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 1, 0, 0, 1, 14, 0, 2, 0, 0,
|
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0, '!', 0, 0, 0, 176, 1, '1', 0, 2, 0, 0, 0, 7, 0, 0, 0, 210, 1, 26,
|
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0, 5, 0, 0, 0, 1, 0, 0, 0, 218, 1, 27, 0, 5, 0, 0, 0, 1, 0, 0, 0,
|
||||
226, 1, '(', 0, 3, 0, 0, 0, 1, 0, 2, 0, 0, 135, 'i', 0, 4, 0, 0, 0,
|
||||
1, 0, 0, 0, 134, 0, 0, 0, 0, 0, 3, 144, 0, 0, 7, 0, 0, 0, 4, '0', '2',
|
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'2', '1', 160, 2, 0, 4, 0, 0, 0, 1, 0, 0, 5, 0, 160, 3, 0, 4, 0, 0,
|
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0, 1, 0, 0, 2, 208, 0, 0, 0, 0, 'S', 'a', 'm', 'p', 'l', 'e', ' ', '8', '-',
|
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'b', 'i', 't', ' ', 'i', 'm', 'a', 'g', 'e', ' ', 'w', 'i', 't', 'h', ' ', 'm',
|
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'e', 't', 'a', 'd', 'a', 't', 'a', 0, 0, 'O', 'p', 'e', 'n', 'C', 'V', 0, 0,
|
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0, 0, 0, 'H', 0, 0, 0, 1, 0, 0, 0, 'H', 0, 0, 0, 1
|
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};
|
||||
|
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int png_compression = 3;
|
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int imgtype = CV_MAKETYPE(CV_8U, 3);
|
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const string outputname = cv::tempfile(".png");
|
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Mat img = makeCirclesImage(Size(1280, 720), imgtype, 8);
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Mat img = makeCirclesImage(Size(160, 120), imgtype, 8);
|
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|
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std::vector<int> metadata_types = {IMAGE_METADATA_EXIF};
|
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std::vector<std::vector<uchar> > metadata(1);
|
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metadata[0].assign(exif_data, exif_data + sizeof(exif_data));
|
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std::vector<std::vector<uchar>> metadata = {
|
||||
getSampleExifData() };
|
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|
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std::vector<int> write_params = {
|
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IMWRITE_PNG_COMPRESSION, png_compression
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@@ -334,6 +463,65 @@ TEST(Imgcodecs_Png, ReadWriteWithExif)
|
||||
remove(outputname.c_str());
|
||||
}
|
||||
|
||||
TEST(Imgcodecs_Png, Read_Write_With_Exif_Xmp_Iccp)
|
||||
{
|
||||
int png_compression = 3;
|
||||
int imgtype = CV_MAKETYPE(CV_8U, 3);
|
||||
const string outputname = cv::tempfile(".png");
|
||||
Mat img = makeCirclesImage(Size(160, 120), imgtype, 8);
|
||||
|
||||
std::vector<int> metadata_types = { IMAGE_METADATA_EXIF, IMAGE_METADATA_XMP, IMAGE_METADATA_ICCP };
|
||||
std::vector<std::vector<uchar>> metadata = {
|
||||
getSampleExifData(),
|
||||
getSampleXmpData(),
|
||||
getSampleIccpData(),
|
||||
};
|
||||
|
||||
std::vector<int> write_params = {
|
||||
IMWRITE_PNG_COMPRESSION, png_compression
|
||||
};
|
||||
|
||||
imwriteWithMetadata(outputname, img, metadata_types, metadata, write_params);
|
||||
std::vector<uchar> compressed;
|
||||
imencodeWithMetadata(outputname, img, metadata_types, metadata, compressed, write_params);
|
||||
|
||||
std::vector<int> read_metadata_types, read_metadata_types2;
|
||||
std::vector<std::vector<uchar> > read_metadata, read_metadata2;
|
||||
Mat img2 = imreadWithMetadata(outputname, read_metadata_types, read_metadata, IMREAD_UNCHANGED);
|
||||
Mat img3 = imdecodeWithMetadata(compressed, read_metadata_types2, read_metadata2, IMREAD_UNCHANGED);
|
||||
EXPECT_EQ(img2.cols, img.cols);
|
||||
EXPECT_EQ(img2.rows, img.rows);
|
||||
EXPECT_EQ(img2.type(), imgtype);
|
||||
|
||||
EXPECT_EQ(metadata_types, read_metadata_types);
|
||||
EXPECT_EQ(read_metadata_types, read_metadata_types2);
|
||||
EXPECT_EQ(metadata, read_metadata);
|
||||
remove(outputname.c_str());
|
||||
}
|
||||
|
||||
TEST(Imgcodecs_Png, Read_Exif_From_Text)
|
||||
{
|
||||
const string root = cvtest::TS::ptr()->get_data_path();
|
||||
const string filename = root + "../perf/320x260.png";
|
||||
const string dst_file = cv::tempfile(".png");
|
||||
|
||||
std::vector<uchar> exif_data =
|
||||
{ 'M' , 'M' , 0, '*' , 0, 0, 0, 8, 0, 4, 1,
|
||||
26, 0, 5, 0, 0, 0, 1, 0, 0, 0, 62, 1, 27, 0, 5, 0, 0, 0, 1, 0, 0, 0,
|
||||
70, 1, 40, 0, 3, 0, 0, 0, 1, 0, 2, 0, 0, 1, 49, 0, 2, 0, 0, 0, 18, 0,
|
||||
0, 0, 78, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 1, 0, 0, 0, 96, 0, 0, 0,
|
||||
1, 80, 97, 105, 110, 116, 46, 78, 69, 84, 32, 118, 51, 46, 53, 46, 49, 48, 0
|
||||
};
|
||||
|
||||
std::vector<int> read_metadata_types;
|
||||
std::vector<std::vector<uchar> > read_metadata;
|
||||
Mat img = imreadWithMetadata(filename, read_metadata_types, read_metadata, IMREAD_GRAYSCALE);
|
||||
|
||||
std::vector<int> metadata_types = { IMAGE_METADATA_EXIF };
|
||||
EXPECT_EQ(read_metadata_types, metadata_types);
|
||||
EXPECT_EQ(read_metadata[0], exif_data);
|
||||
}
|
||||
|
||||
static size_t locateString(const uchar* exif, size_t exif_size, const std::string& pattern)
|
||||
{
|
||||
size_t plen = pattern.size();
|
||||
|
||||
Reference in New Issue
Block a user