OpenCV 5 Debuts with Improved ONNX Support and Native AI Upgrades
When your electronics project needs to see the world around it, OpenCV is the go-to solution for hobbyists. Installing this library and inserting a few lines into your code can make an extremely complex computer vision workflow quite simple. And now, with the release of OpenCV 5, there is more reason than ever to use this popular software package.
OpenCV has long been one of the most important tools in computer vision, powering everything from DIY robotics projects and embedded systems to industrial automation and medical imaging. The new OpenCV 5 release brings with it one of the biggest updates in the project's more than two-decade history, including major improvements aimed at modern AI-driven vision applications.
Support for ONNX models has been greatly improved (📷: OpenCV)
The most significant change is a completely redesigned deep neural network (DNN) engine. Previous versions of OpenCV struggled with newer ONNX models, forcing developers...
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