A biblioteca OpenCV lançou sua versão 4.9.0. Esta ferramenta, globalmente reconhecida e aplicada em diversos setores, foi originalmente apresentada ao mundo pela Intel no ano 2000. Hoje, conta com uma comunidade de mais de 47 mil contribuidores. E fiquei muito feliz de encontrar meu nome na lista de contribuidores deste release.

• Core Module:
  • #23965 added cv::broadcast
  • #24163 Fixed several rounding issues on ARM platform
  • #24420 added detection & dispatching of some modern NEON instructions (NEON_FP16, NEON_BF16)
  • #23929 added optimization for LoongArch 128-bit vector, detection & dispatching of LoongArch

DNN module patches:

• Experimental transformers support
• #24476 ONNX Attention layer support
• #24037 ONNX Einsum layer support
• #23987 OpenVINO backend for INT8 models
• #24092 ONNX Gather Elements layer
• #24378 ONNX InstanceNorm layer
• #24295 better support of ONNX Expand layer with cv::broadcast
• #24463 #24577 #24483 Improved DNN graph fusion with shared nodes and commutative operations
• #23897 #24694 #24509 New fastGEMM implementation and several layers on top of it
• #23654 Winograd fp16 optimizations on ARM
• Tests and multiple fixes for Yolo family models support
• New layers support and bug fixes in CUDA backend: GEMM, Gelu, Add
• #24462 CANN backend: bug fix, support HardSwish, LayerNormalization and InstanceNormalization
• #24552 LayerNormalization: support OpenVINO, OpenCL and CUDA backend.

Objdetect module:

• #24299 Implemented own QR code decoder as replacement for QUIRC library
• #24364 Bug fixes in QR code encoder version estimation
• #24355 More accurate Aruco marker corner refinement with dynamic window
• #24479 Fixed contour filtering in ArUco
• #24598 QR code detection sample for Android
• Multiple local bug fixes and documentation update for Aruco makers, Charuco boards and QR codes.

Mais detalhes aqui : https://github.com/opencv/opencv/releases/tag/4.9.0