train classes mis-leading..

[sycophant-stone]

Since there are 17 classes1 in the prepare stags, while there are 19 classes in pretrained model from test.py.2 So,my concern is what is the differences between those two models?

[showkeyjar]

they said that it contains last background part, but I test result found the class name make more confused

and this is my label order: ['skin', 'l_brow', 'r_brow', 'l_eye', 'r_eye', 'eye_g', 'l_ear', 'r_ear', 'ear_r', 'nose', 'mouth', 'u_lip', 'l_lip', 'neck', 'neck_l', 'cloth', 'hair', 'hat', 'bg']

[Ir1d]

https://github.com/switchablenorms/CelebAMask-HQ/tree/master/face_parsing#well-trained-model

[mohamad-hasan-sohan-ajini]

Background is first class. I tested this model (the one that is mentioned in README.md) and found this labeling:

['bg', 'skin', 'l_brow', 'r_brow', 'l_eye', 'r_eye', 'eye_g', 'l_ear', 'r_ear', 'ear_r', 'nose', 'mouth', 'u_lip', 'l_lip', 'neck', 'neck_l', 'cloth', 'hair', 'hat']

[fortunechen]

https://github.com/switchablenorms/CelebAMask-HQ/tree/master/face_parsing#well-trained-model

This label is not suitable for this model