Looking for Advanced Computer Vision Resources for Object Detection Using PyTorch

Hi everyone, I’m looking for advanced computer vision resources to learn how to build object detection models using PyTorch. I’m familiar with PyTorch basics and have experience with image classifiers. Any recommendations?

I would recommend you SKImage instead of Pytorch, is not that Pytorch is bad, is that there are a lot of functions already built within SKImage towards computer vision. The book I recommend the most is Digital Image Processing, Gonzalez and Woods (4th Ed) and Computer Vision, Szeliski (2nd Ed) for theoretical approach; for understanding SKimage, for a practical approach: A short tour of Scikit-image library with hands-on code — Hands-on introduction to Scikit-image methods