Comments (2)
To get the mask for the data that you have, you can run the Graphonomy network.
Graphonomy creates segmentation mask of the image you provide, using which you can select the facial and hair regions. Next, you can binarize them to get the corresponding masks.
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how to generate mask with graphonomy_process.py specifically?
from loho.
Related Issues (16)
- testcases generate images all black HOT 1
- Guidelines for Training HOT 1
- inference.pth file corrupted ... HOT 1
- why it takes so long? HOT 1
- How to get softmasks?
- Code for inference on my own data HOT 3
- How to cal ssim and psnr HOT 1
- the speed is too slow?? HOT 1
- soft mask and inpaint backgroud HOT 1
- Importing compare_ssim error HOT 1
- Code for Semantic Masks Alignment HOT 1
- FileNotFoundError: [Errno 2] No such file or directory: 'checkpoints/inference.pth',I ran into this mistake,Excuse me,Do you know how to solve it? HOT 2
- Ask how to create softmask and inpaint background.
- Does the hair generation work on full body images or only on portrait images?
- FileNotFound
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from loho.