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Comment by jpace121 | Hacker News Reader

I’ve worked on plenty of problems where all you need is to find what pixels are a specific color. While I’m sure a NN could be setup for that, why make things harder than they have to be?

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Why harder? My point is, by using some DL framework, you would make this simpler. You don't need to have a big NN for that, or even any NN at all, and could still use some DL framework, and I would assume this is still easier and probably faster. E.g. finding what pixels are a specific color, this would be sth like:

    torch.all(image == torch.tensor([255,0,0]), dim=-1).nonzero()

To get all pixel pairs (x,y) where the color is red (255,0,0) of the image of shape (width,height,channels).

How do you generate the torch vector to do this? Often it's OpenCV!

torchvision.io.read_image?

This is like answering "the grocery store" when asked where food comes from.

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