AI BriefingOpenCV 5 Released: The Biggest Leap in Computer Vision in Years
Key point
OpenCV 5 has been released, significantly modernizing the DNN engine and greatly strengthening ONNX support.
Details
OpenCV 5 is a large-scale update designed to overcome the limitations of the existing 4.x versions, optimized for modern Deep Learning (DL) workflows.
The most core change is the complete overhaul of the DNN engine. The ONNX operator support range has expanded from about 22% to over 80%, greatly improving the compatibility issues that used to occur when loading the latest models in OpenCV. It also introduces a graph-based engine including support for Transformer and VLM/LLM.
Key updates are as follows:
- Modern DNN engine: Graph-based structure, operation fusions, extensive ONNX support.
- Hardware acceleration and performance: Faster and lighter core, improved hardware acceleration layer, native FP16/BF16 support.
- Improved developer experience: Modern Python bindings, named arguments support, improved documentation.
- Enhanced 3D vision: ChArUco, multi-camera calibration, and expanded visualization tools.
The pip version of OpenCV 5 is scheduled to be released on June 8.
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