OpenCV 4.7 版本发布

关注公众号，发现CV技术之美一如既往，OpenCV在新年来临之际，刚刚更新了小版本，来到了4.7版。除了继续对DNN模块、算法加速优化外，算法家族也有了新成员。下文来自：https://github.com/opencv/opencv/wiki/ChangeLog#version470Highlights of this release:DNN模块改进:New ONNX layers  增加了新的ONNX layersSigninficant performance optimization for convolutions. Winograd algoritm implementation. 对卷积进行了重要的性能优化，实现了卷积优化算法Winograd 。OpenVino 2022.1 support.Added CANN backend support #22634. Link to the manual: https://github.com/opencv/opencv/wiki/Huawei-CANN-Backend. CANN 是华为开发的神经网络加速计算架构，增加CANN后端支持可以更好支持在华为硬件上的神经网络推理。Added batched NMS for multi-class object detection. 增加batched NMS ,用于多类别目标检测。Algorithms改进与新增:ArUco markers and April tags support including ChAru ………………………………