Added harfbuzz; use it instead of STB to render text #29300
Merge with https://github.com/opencv/opencv_extra/pull/1378.
This is the next big step to improve font rendering in OpenCV 5.x. See #18760, #26301. See also OpenCV 5.0 release notes, where it was pointed out that complex scripts are not rendered correctly, and HarfBuzz integration is needed to fix it. So, here it is — HarfBuzz integration:
* Removed tweaked STB engine. STB truetype rendering engine was included into OpenCV 5.0-pre/5.0 and it was extended to instantiate and render variable fonts, but the support was incomplete and immature.
* Instead, we now use [HarfBuzz](https://github.com/harfbuzz/harfbuzz) — famous font shaping library and now also font rendering library, used by many big companies and organizations.
* As a result, we now correctly render complex scripts, such as arabic or devanagari, correctly handle font ligatures (ff, fi, ft etc.)
<img width="1300" height="600" alt="text_test" src="https://github.com/user-attachments/assets/a7d2c754-0fcf-40f8-8104-578f3a14850b" />
* Potentially, we could also support color emoji, but that would be a next step.
* As with STB-based engine, glyphs are cached (the same glyph from the same font is not rendered twice), so the performance should be on par with the previous engine.
* When OpenCV is built with `-DWITH_HARFBUZZ=ON`, which is set by default, it tries to detect HarfBuzz in the system and use it. If it's not detected, OpenCV builds our own small subset of HarfBuzz.
The following table compares size of libopencv_imgproc.dylib.5.0.0 (Release mode) in different configurations:
| Configuration | libopencv_imgproc (stripped) | delta vs 5.0 |
|----------------------------------------|------------------------------|----------|
| imgproc without text rendering (`-DWITH_HARFBUZZ=OFF`) | 4.27 MB | −2.35 MB |
| imgproc with stb-based engine (5.0) | 6.62 MB | 0.0 Mb |
| imgproc with HarfBuzz-based engine (this PR) | 7.07 MB | +0.45 MB |
The biggest source of the size increase when OpenCV is built with text rendering support (STB- or Harfbuzz-based) is that imgproc in this case includes .ttf fonts (Rubik and 'Wen Quan Yi Micro Hei'), which are gzip-compressed, but still have noticeable size, especially 'Wen Quan Yi' (~2Mb). HarfBuzz itself, compared to STB engine, adds just 0.45Mb, or ~7% to imgproc size. On other platforms (Linux x64, Windows), where IPP or other acceleration libraries are linked into libopencv_imgproc, the harfbuzz footprint is even less noticeable.
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Fix MLAS 32-bit x86 build by integrating missing upstream assembly files #29226
### Pull Request Readiness Checklist
This resolves the 32-bit x86 build failure for MLAS. Related to: https://github.com/opencv/opencv/pull/29218
* Added the required `x86` assembly files and headers from upstream.
* Added `__x86_64__` guards around the AMX `syscall` and the FMA3/AVX512F kernel assignments to prevent 32-bit compilation crashes.
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Attention graph fusion with MLAS FlashAttention #29126
Performance numbers for Owl-v2 model on intel i9:
```
ORT: Average inference time over 10 runs: 1411.55 ms (min 1399.75, max 1438.89)
NEW: Average inference time over 10 runs: 1078 ms (min 1048.04, max 1110.61)
```
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Libpng warning fix on Windows #29120
CI warning:
```
Warning: C:\GHA-OCV-3\_work\opencv\opencv\opencv\3rdparty\libpng\pngread.c(4114,21): warning C4146: unary minus operator applied to unsigned type, result still unsigned [C:\GHA-OCV-3\_work\opencv\opencv\build\3rdparty\libpng\libpng.vcxproj]
Warning: C:\GHA-OCV-3\_work\opencv\opencv\opencv\3rdparty\libpng\pngwrite.c(2033,21): warning C4146: unary minus operator applied to unsigned type, result still unsigned [C:\GHA-OCV-3\_work\opencv\opencv\build\3rdparty\libpng\libpng.vcxproj]
```
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Added MLAS third party module and integrated into GeMM path #28934
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libpng upgrade to 1.6.57 #29051
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Zlib upgrade 1.3.2 #28779
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WebP update to version 1.6.0 #28139
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OpenJPEG update to 2.5.4 #28140
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* Updated libpng to v1.6.51 and added RISC-V optimimizations.
* Force 3rdparty build for CI test.
* Added RISC-V RVV diagnostics for PNG.
* RISC-V RVV diagnostic fix.
* Disabled incorrect in-place flip HAL on RISC-V RVV.
* Disabled risc-v rvv of png_read_filter_row_paeth in libpng.
* Set PNG simd configuration defaults accornding to OpenCV settings.
* Update to libpng 1.6.52 with RISC-V RVV fix.
* Build fix for RISC-V RVV.
* Reverted CI changes.
Merge pull request #28112 from asmorkalov:as/jpeg_turbo_3.1.2
### Pull Request Readiness Checklist
Previous update: https://github.com/opencv/opencv/pull/27031
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Add BUILD_INFO_SKIP_SYSTEM_VERSION option to exclude the host kernel version
from build outputs, enabling reproducible builds across systems with different
kernel versions.
Changes:
- Modified CMakeLists.txt to conditionally include CMAKE_HOST_SYSTEM_VERSION
in the build platform status based on BUILD_INFO_SKIP_SYSTEM_VERSION flag
- Updated 3rdparty/tbb/CMakeLists.txt to set TBB_HOST_VERSION conditionally
- Modified 3rdparty/tbb/version_string.ver.cmakein to use the new variable
When BUILD_INFO_SKIP_SYSTEM_VERSION=ON is set, the host system version is
excluded from both the CMake status output and the TBB version strings,
producing identical binaries on equivalent build systems regardless of
kernel version differences.
Default behavior is unchanged (version included) for backward compatibility.
Fixes#27961
Add macOS support for Orbbec Gemini330 camera #27930
### Description of Changes
Adds macOS support for Orbbec Gemini330 in videoio by integrating OrbbecSDK v2. Completes the non-macOS work in [#27230](https://github.com/opencv/opencv/pull/27230).
#### Motivation
[#27230](https://github.com/opencv/opencv/pull/27230) skipped macOS. On macOS, UVC alone lacks required device controls; OrbbecSDK v2 provides them.
#### Key Change
- macOS: fetch/link OrbbecSDK v2.5.5 (replaces v1.9.4).
- videoio (macOS): switch OrbbecSDK API usage from v1 to v2.
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libtiff upgrade to version 4.7.1 #27806
close https://github.com/opencv/opencv/issues/27784
### Pull Request Readiness Checklist
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Skip ARM assembly file on QNX #27774
This fixes build failures on QNX caused by unsupported ARM NEON assembly in arm/filter_neon.S. The QNX environment does not handle this assembly source correctly, resulting in compilation errors.
Build and test instruction for QNX:
https://github.com/qnx-ports/build-files/blob/main/ports/opencv/README.md
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libpng upgrade to 1.6.45 and cICP metadata support for PNG imwrite #27741
### Pull Request Readiness Checklist
resolves#24185
libpng docs: https://www.w3.org/TR/png-3/#cICP-chunk
similar code from ffmpeg: https://github.com/FFmpeg/FFmpeg/blob/a700f0f72d1f073e5adcfbb16f4633850b0ef51c/libavcodec/pngenc.c#L452-L456
So issue #24185 can be solved by replacing `cv.imwrite` in user's code to `cv.imwriteWithMetadata`:
```python
cv.imwriteWithMetadata("frame.png", frame, [cv.IMAGE_METADATA_CICP], np.array([[9, 18, 0, 1]], np.uint8))
```
```
$ exiftool /home/d.kurtaev/opencv_build/frames_pr/image_38.png
ExifTool Version Number : 12.76
File Name : image_38.png
Directory : /home/d.kurtaev/opencv_build/frames_pr
File Size : 3.8 MB
File Modification Date/Time : 2025:09:02 20:48:22+03:00
File Access Date/Time : 2025:09:02 20:48:22+03:00
File Inode Change Date/Time : 2025:09:02 20:48:22+03:00
File Permissions : -rw-r--r--
File Type : PNG
File Type Extension : png
MIME Type : image/png
Image Width : 1080
Image Height : 1920
Bit Depth : 8
Color Type : RGB
Compression : Deflate/Inflate
Filter : Adaptive
Interlace : Noninterlaced
Color Primaries : BT.2020, BT.2100
Transfer Characteristics : BT.2100 HLG, ARIB STD-B67
Matrix Coefficients : Identity matrix
Video Full Range Flag : 1
Image Size : 1080x1920
Megapixels : 2.1
```
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
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### Pull Request Readiness Checklist
resolves#16295
```
docker run --gpus 0 -v ~/opencv:/opencv -v ~/opencv_contrib:/opencv_contrib -it nvidia/cuda:12.8.1-cudnn-devel-ubuntu22.04
apt-get update && apt-get install -y cmake python3-dev python3-pip python3-venv &&
python3 -m venv .venv &&
source .venv/bin/activate &&
pip install -U pip &&
pip install -U numpy &&
pip install torch --index-url https://download.pytorch.org/whl/cu128 &&
cmake \
-DWITH_OPENCL=OFF \
-DCMAKE_BUILD_TYPE=Release \
-DBUILD_DOCS=OFF \
-DWITH_CUDA=ON \
-DOPENCV_DNN_CUDA=ON \
-DOPENCV_EXTRA_MODULES_PATH=/opencv_contrib/modules \
-DBUILD_LIST=ts,cudev,python3 \
-S /opencv -B /opencv_build &&
cmake --build /opencv_build -j16
export PYTHONPATH=/opencv_build/lib/python3/:$PYTHONPATH
```
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.
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Patch to opencv_extra has the same branch name.
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libtiff upgrade to version 4.7.0 #27679
### Pull Request Readiness Checklist
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Vadim Pisarevsky
omrope79
Alexander Smorkalov
Abhishek Gola
Alexander Smorkalov
Michael Klatis
ekharkov
lebarsfa
Kumataro
Dmitry Kurtaev
Samaresh Kumar Singh
sirudoi
hyarasi13
eplankin
Suleyman TURKMEN