Tallisgo

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> Look at utils/face_datasets.py line 333. The ignoring small faces is in data preparation. @wjtan99 hello, can you share the value of ignore_small?

Thanks for your reply @VainF. Maybe I just do this. The pipeline is below: 1. train and save a model 2. initial a model with the saved weight 3. use...

> Hello, > > First of all Thank you for this great repository, great work > > And, I could not find the face alignment code and implemented it myself...

改成320 *320的话,anchor size的大小是不是也应该改变

你有找到相关代码吗?如果有的话,能不能分享一下

> 1.类别的起始下标为0不是1,例如单类的话类别下标都为0,多类的话0为起始,例如20类,则.txt中的类别下标为0,1,2,3,...19 2.是的,classes为类别数目 3.训练单类模型cls loss为0是正常的 大佬, 为什么训练单类模型 cls loss 一直是0为啥是正常的呀