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Official Pytorch implementation of ICCV 2021 2020 paper "Bridging Unsupervised and Supervised Depth from Focus via All-in-Focus Supervision"

Home Page: https://albert100121.github.io/AiFDepthNet/

Python 100.00%
pytorch iccv iccv2021 all-in-focus depth-estimation deep-learning bokeh-effect blur-image focal-stack computer-vision

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aifdepthnet's Issues

Data augmentation parameters

In the paper, random spatial transformation (flipping, cropping,rotation) and random color jittering ( brightness, contrast, gamma correction) were performed during training.
I want to know the parameters of these data augmentation tasks.

Thank you.

The pretrained model

The link to the pretrained model is no longer valid.Could you provide a new link?

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