optimize some drawing with stack allocation #27599
Some drawings can try a stack allocation instead of a std::vector
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Performance tests for writing and reading animations #27605
### Pull Request Readiness Checklist
related : https://github.com/opencv/opencv/pull/27496
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KleidiCV support on Apple devices #27607
Scope:
- Disabled bitcode generation in iPhone framework by default.
- Enabled KleidiCV build for iPhone.
- Added Github Actions log tags to group per-architecture builds and format logs.
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Changed line 69 from "Remember, we together" to "Remember, together we..."
I saw that this page encouraged us to contribute no matter how small the contribution is so I decided to "shoot my shot" as a beginner developer and fix a small grammatical error. Would be nice if I could be allowed to be recognized as a contributor with my contribution albeit pretty small, hopefully in the future, more meaningful contributions will be made! :)
Jpeg Metadata (iccp and xmp) #27583
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to do :
- [x] consider `m_read_options`
- [x] check if ICCP metadata is suitable to write PNG
- [x] the file `testExifOrientation_3.jpg` used in the test has an ICCP data. this data can be saved in jpg format but could not in PNG and WEBP format. Impovements to check this case with PNGEncoder and WEBPEncoder planned.
Take into account overflow for connected components #27582
### Pull Request Readiness Checklist
Fix#27568
The problem was caused by a label type overflow (`debug_example.npy` contains `92103` labels, that doesn't fit in the `CV_16U` (`unsigned short`) type). If pass `CV_32S` instead of `CV_16U` as `ltype` - everything will be calculated successfully
Added overflow detection to throw exception with a clear error message instead of strange segfault/assertion error
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core: support parsing back slash \ in parseKey in FileStorage (JSON) #27587Fixes#27585
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imgcodecs: fix Imgcodecs_Png.write_big test for spng #27589Close#27588
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core: support parsing null in json parser in FileStorage #27579
Fixes https://github.com/opencv/opencv/issues/27578
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This is a useful property for modularized libraries and applications to be able to use OpenCV
A full module-info.java file for true compatibility with the Java module system would require compiling with Java 9+ and either use a multi-release JAR (which can be tricky to maintain) or compile the entire library with Java 9+ (which would break Android consumers on older SDK versions). In the interest of causing the least disruption, only an automatic module name is set so that modular Java 9+ consumers can use OpenCV but not break anybody else.
Fixed build issue with some old GCC versions #27569
Fixes build for GCC 4.8.5 at least. Looks like the method default signature differs cross GCC versions or newer version has softer checker.
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[GSOC 2025] PNG&WebP Metadata Reading Writing Improvements #27503
Merge with https://github.com/opencv/opencv_extra/pull/1271
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G-API: Implement cfgEnsureNamedTensors option to OpenVINO Params #27549
Added the option cfgEnsureNamedTensors to be applied on OpenVINO models with nameless tensors. If a tensor doesn't have a name, it sets a default one. The default name is created using OpenVINO's standard `make_default_tensor_name` . `make_default_tensor_name` had to be rewritten because it is only available in OpenVINO's dev_api.
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Add enum IMWRITE_PNG_ZLIBBUFFER_SIZE #27551
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This patch enables users to set the internal zlib compression buffer size for PNG encoding
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Fix compilation problems with MSVC+Cuda 12.9 #27522
fix for #27521
Actually, when ENABLE_CUDA_FIRST_CLASS_LANGUAGE is enabled, the fix it not necessary. However, even when ENABLE_CUDA_FIRST_CLASS_LANGUAGE is enabled, I have checked that the fix is harmless So I propose to keep it simple for now and enable the fix whatever the state of ENABLE_CUDA_FIRST_CLASS_LANGUAGE
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Add Raspberry Pi 4 and 5 V4L2 Stateless HEVC Hardware Acceleration with FFmpeg #27453
This PR enables V4L2 stateless HEVC hardware acceleration for Raspberry Pi 5 within OpenCV's videoio module. It leverages FFmpeg's drm acceleration ([FFmpeg API changes](ee1f79b0fa/doc/APIchanges (L1529))), significantly improving HEVC decoding performance on RPi5 for robotics and embedded vision applications.
I have a working proof-of-concept with local benchmarks showing clear gains.
Checklist Status:
Ready: License, branch (4.x), FFmpeg reference, and (linked) related issue (#27452).
Seeking Guidance: Need help with formal C++ performance/accuracy tests, opencv_extra integration, and full documentation/examples.
As a Python developer, I welcome C++ best practice feedback and assistance with testing setup.
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Update FastCV lib hash for Linux and Android
Updated libs PR [opencv/opencv_3rdparty#101](https://github.com/opencv/opencv_3rdparty/pull/101)
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eigen: fix to get version from eigen after v3.4.0 #27536
Close https://github.com/opencv/opencv/issues/27530
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imgcodecs: OpenEXR multispectral read/write support #27485
OpenCV Extra: https://github.com/opencv/opencv_extra/pull/1262/
Adds capability to read and write multispectral (>4 channels) images in OpenEXR format.
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