LibreOffice (64-bit)

What's new in this version:

DNN module patches:
- TFLite models support, including int8 quantized models
- Enabled DNN module build without Protobuf dependency

Improved layers / supported more models:
- ONNX: #23047 Layer normalization, #23219 GELU and #23655 QLinearSoftmax.

Fixes in CANN backend:
- support ONNX Split, Slice, Clip (Relu6) and Conv with auto_pad
- support ONNX Sub, PRelu, ConvTranspose
- Reduce Refactor for robustness and potential follow-up improvements
- Fixes for Segment Anything Model by Meta
- Fixes in nary element wise layer about broadcast:
- Fixes in CPU
- and #23560 Fixes in CUDA backend
- Improve DNN speed on ARM and X86, add Winograd branch for Convolution layer.
- Add full FP16 computation branch on ARMv8 platform, twice faster than before.
- Modern OpenVINO support

G-API module:
- TBD

Objdetect module:
- FaceDetectorYN upgrade for better performance, accuracy and facial landmarks support
- New QR code detection algorithm based on ArUco code
- Bar code detector and decoder moved from Contrib to main repository
- Introduced common API for all graphical codes like bar codes and QR codes
- Added flag for legacy pre-4.6.0 ChAruco boards support
- Multiple bug fixes and improvements in QR code detection and decoding pipelines.
- Multiple bug fixes and improvements in ArUco based pipelines.

Calibration module:
- USAC framework improvements
- Fixed stddev estimation in camera calibration pipelines
- Fixed incorrect pixel grid generation in icvGetRectangles that improves accuracy of getOptimalNewCameraMatrix, stereoRectify and some other calibration functions
- Charuco board support in patterns generator, interactive calibration tool and calibration samples.

Image processing module:
- Various fixes in line segments detector
- Fixed even input dimensions for INTER_NEAREST_EXACT in resize
- Optimise local cost computation in IntelligentScissorsMB::buildMap
- Keep inliers for linear remap with BORDER_TRANSPARENT #23754
- Fix distransform to work with large images

Feature2d module:
- SIFT accuracy improvements

Core module:
- Added REDUCE_SUM2 option to cv::reduce
- Introduced cv::hasNonZero function
- Update IPP binaries update to version 20230330
- Improved RISC-V RVV vector extensions support.
- Several OpenCL vendor and version handling improvements.

Multimedia:
- Added AVIF support through libavif
- Orbbec Femto Mega cameras support
- HEVC/H265 support in VideoWriter with MS Media Foundation backend
- Fixed FPS computation on some videos for FFmpeg backend
- Added support for VideoCapture CAP_PROP_AUTO_WB and CV_CAP_PROP_WHITE_BALANCE_BLUE_U for DShow backend
- Fixes OBS Virtual Camera capture
- CV_32S encoding support with tiff
- #3453 More strict decoder checks and dynamic resolution support in cudacodec module (opencv_contrib)
-Added basic VideoCapture properties support to cudacodec module (opencv_conrib)

Python Bindings:
- Python typing stubs
- Fix reference counting errors in registerNewType
-, #23138 Fixed ChAruco and diamond boards detector bindings
- Added bindings to allow GpuMat and Stream objects to be initialized from memory initialized in other librarie
- np.float16 support
- Python bindings for RotatedRect, CV_MAKETYPE, CV_8UC(n).

JavaScript bindings:
- Added possibility for disabling inlining wasm in opencv.j
- Extended JS bindings for Aruco, Charuco, QR codes and bar codes.

Platforms:
- Android: don't require deprecated tools
- iOS: Fixed framework build issues with CMake 3.25.1+

Other:
- Several critical issue fixes in wechat_qrcode module (opencv_contrib)