Arseny Kravchenko comments

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                                            Arseny Kravchenko

Can I use GPU to make inference faster?

Hi @Lilaoxie, I believe just installing `onnxruntime-gpu` should be enough for GPU-based inference, but I didn't try it on my own for this model.

Bug in _windowed_subdivs

Also the same typo happens here https://github.com/Vooban/Smoothly-Blend-Image-Patches/blob/master/smooth_tiled_predictions.py#L212

There is a problem

Hey @Bisa-handsome, processing frames and concatenating again is indeed how I would approach the problem. Although please keep in mind the model was not trained for temporal consistency, so video...

How to obtain the onnx model through self trained models

Hey @Hafuhafuha, unfortunately I don't have any conversion scripts left. I can try reviewing your conversion script if that helps

Squeeze and Excitation Networks

https://www.kaggle.com/c/cdiscount-image-classification-challenge/discussion/40664#228784

DPN networks

BTW same guy has a lot of fansy networks in Keras https://github.com/titu1994/Keras-Classification-Models