Learn how to use OpenCV, the popular computer vision library, to run pretrained deep learning models.
- [Jonathan] Over the last couple of years, deep learning has been one of the fastest growing areas within artificial intelligence. It has achieved remarkable results, particularly in the area of computer vision, for example, self-driving cars and allowing computers to recognize objects with near human-like ability. OpenCV is very highly rated because it includes state of the art computer vision and machine learning algorithms. When deep learning technology is deployed in machines and IoT devices, you run pre-trained deep learning models. This seems like a marriage made in heaven, world class computer vision software and the ability to run deep learning models, all on inexpensive hardware. Hi, I'm Jonathan Fernandes, and I work in machine learning and AI for a consultancy. Join me on LinkedIn Learning as we explore OpenCV's deep learning capability in Python.
- Deep learning for OpenCV
- Viewing images and video in OpenCV
- Working with blobs in the dnn module
- Image classification
- Video classification