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
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