resize input to fill input tensor

alr-internship / self-supervised-depth-denoising

Denoising YCB Objects with a self-supervised deep neural network

MIT License

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resize input to fill input tensor #18

Open claudius-kienle opened 2 years ago

claudius-kienle commented 2 years ago

Currently, the inputs are not resized at all. This results in large inputs with just a few features. It would make sence to resize the input to fill the whole input tensor.

Things to keep in mind:

Should the resizing be the same on the whole dataset, or should it be computed pixel wise?
It should be possible to undo the resization after inference