wuhuikai / DeepGuidedFilter

Official Implementation of Fast End-to-End Trainable Guided Filter, CVPR 2018

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About training auto-ps task on Fivek dataset

YinengXiong opened this issue · comments

Hello, I'm a beginer and I have some questions:

have you tried to train auto-ps task on fivek dataset at original image size?

the implementation in paper is resize to 512s and random resized from 512 to 1672 without data augmentation(e.g. random crop & random rotate) and you set fine-size = -1 in your default setting.

If i wanna train auto-ps task on the original image size, is it better to apply data augmentation(random crop, random flip & rotate) strategy?

thank you very much

I didn't try this. But I think rand crop is necessary.