New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Details of the training process #190

Open

fenneishi opened this issue Sep 4, 2022 · 0 comments

fenneishi commented Sep 4, 2022 •

edited

Loading

你好，我测试了BackgroundMattingV2,发现效果很好，感谢。
但是关于一些训练的细节，我还是不太理解（PS：主要是关于数据增强部分）

在train_base中，针对 dataset_train的Affine增强，为什么fgr-pha与bgr在scale参数上的随机范围不一样，或者说为什么分别设置成这个范围
在train_base中，通过ZipDataset将pha_fgr_dataset和bgr_dataset打包一个整体dataset(下图1)，但是dataset好像是一种固定匹配的打包方式，固定匹配不是会造成合成的数据量远远小于len(fgr)*len(bgr）吗？(下图2)，这样会不会有一些问题。

再次感谢！

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment