Comments (5)
They are linked in the README:
Weights for LiteFlowNet are hosted by sniklaus: default, kitti, sintel.
Download one of them. You can parse it by adding --pretrained_model_liteflownet path_to_weights
from deep-flow-guided-video-inpainting.
Thank you very much, it works
from deep-flow-guided-video-inpainting.
The three links-sniklaus: default, kitti, sintel.is not work.Could you tell me how to handle this question?thx!
from deep-flow-guided-video-inpainting.
They work fine for me. Here they are in raw format
- http://content.sniklaus.com/github/pytorch-liteflownet/network-default.pytorch
- http://content.sniklaus.com/github/pytorch-liteflownet/network-kitti.pytorch
- http://content.sniklaus.com/github/pytorch-liteflownet/network-sintel.pytorch
from deep-flow-guided-video-inpainting.
Thank you very much! I can download them now!
from deep-flow-guided-video-inpainting.
Related Issues (11)
- pretrained_model_liteflownet = (sintel.pth) HOT 2
- issues when get the result HOT 3
- No such file or directory: './pretrained_models/sintel.pth' HOT 2
- FileNotFoundError: [Errno 2] No such file or directory: './pretrained_models/sintel.pth' HOT 1
- Lack of './pretrained_models/sintel.pth' HOT 1
- Package Version HOT 7
- unexpected keyword argument 'align_corners' HOT 4
- cv2.error : ssize.empty() in function 'resize' HOT 3
- train DeepFill v1 model HOT 2
- Something wrong with results of video inpainting demo. HOT 4
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