Closed happy-jihye closed 2 years ago
zhanglonghao1992
commented
2 years ago Hello, ZLH Thank you for you great implementation.
Would you mind providing the pretrained models (checkpoints)? Thank you for your help.
Jihye 😊
At present, I am trying to train the model on voxceleb2 and other datasets with higher resolutions (e.g. > 512x512). After that, I will choose some checkpoints with better performance to release.
johndpope
commented
2 years ago I can't get anywhere without that file it seems.
no checkpoint
(torch) ➜ One-Shot_Free-View_Neural_Talking_Head_Synthesis git:(main) ✗ python demo.py --config config/vox-256.yaml --source_image '/home/jp/Desktop/2.jpg' --driving_video '/home/jp/Documents/gitWorkspace/SimSwap/J11-wm.mp4' --relative --adapt_scale --find_best_frame
demo.py:28: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
config = yaml.load(f)
Traceback (most recent call last):
File "demo.py", line 282, in <module>
generator, kp_detector, he_estimator = load_checkpoints(config_path=opt.config, checkpoint_path=opt.checkpoint, cpu=opt.cpu)
File "demo.py", line 48, in load_checkpoints
checkpoint = torch.load(checkpoint_path)
File "/home/jp/miniconda3/envs/torch/lib/python3.8/site-packages/torch/serialization.py", line 579, in load
with _open_file_like(f, 'rb') as opened_file:
File "/home/jp/miniconda3/envs/torch/lib/python3.8/site-packages/torch/serialization.py", line 230, in _open_file_like
return _open_file(name_or_buffer, mode)
File "/home/jp/miniconda3/envs/torch/lib/python3.8/site-packages/torch/serialization.py", line 211, in __init__
super(_open_file, self).__init__(open(name, mode))
FileNotFoundError: [Errno 2] No such file or directory: ''
made up check point. (file doesn't exist)
(torch) ➜ One-Shot_Free-View_Neural_Talking_Head_Synthesis git:(main) ✗ python demo.py --config config/vox-256.yaml --checkpoint ./check.pt --source_image '/home/jp/Desktop/2.jpg' --driving_video '/home/jp/Documents/gitWorkspace/SimSwap/J11-wm.mp4' --relative --adapt_scale --find_best_frame
demo.py:28: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
config = yaml.load(f)
Traceback (most recent call last):
File "demo.py", line 282, in <module>
generator, kp_detector, he_estimator = load_checkpoints(config_path=opt.config, checkpoint_path=opt.checkpoint, cpu=opt.cpu)
File "demo.py", line 48, in load_checkpoints
checkpoint = torch.load(checkpoint_path)
File "/home/jp/miniconda3/envs/torch/lib/python3.8/site-packages/torch/serialization.py", line 579, in load
with _open_file_like(f, 'rb') as opened_file:
File "/home/jp/miniconda3/envs/torch/lib/python3.8/site-packages/torch/serialization.py", line 230, in _open_file_like
return _open_file(name_or_buffer, mode)
File "/home/jp/miniconda3/envs/torch/lib/python3.8/site-packages/torch/serialization.py", line 211, in __init__
super(_open_file, self).__init__(open(name, mode))
FileNotFoundError: [Errno 2] No such file or directory: './check.pt'
I didn‘t provide the pre-trained model，so you have to train the model first to get the checkpoint.
来自钉钉专属商务邮箱------------------------------------------------------------------ 发件人：John D. @.> 日 期：2021年09月05日 01:56:03 @.> @.>; @.> 主 题：Re: [zhanglonghao1992/One-Shot_Free-View_Neural_Talking_Head_Synthesis] checkpoint (pretrained model) (#4)
I can't get anywhere without that file it seems. no checkpoint (torch) ➜ One-Shot_Free-View_Neural_Talking_Head_Synthesis git:(main) ✗ python demo.py --config config/vox-256.yaml --source_image '/home/jp/Desktop/2.jpg' --driving_video '/home/jp/Documents/gitWorkspace/SimSwap/J11-wm.mp4' --relative --adapt_scale --find_best_frame
demo.py:28: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
config = yaml.load(f)
Traceback (most recent call last):
File "demo.py", line 282, in
generator, kp_detector, he_estimator = load_checkpoints(config_path=opt.config, checkpoint_path=opt.checkpoint, cpu=opt.cpu)File "demo.py", line 48, in load_checkpoints
checkpoint = torch.load(checkpoint_path)File "/home/jp/miniconda3/envs/torch/lib/python3.8/site-packages/torch/serialization.py", line 579, in load
with _open_file_like(f, 'rb') as opened_file:File "/home/jp/miniconda3/envs/torch/lib/python3.8/site-packages/torch/serialization.py", line 230, in _open_file_like
return _open_file(name_or_buffer, mode)File "/home/jp/miniconda3/envs/torch/lib/python3.8/site-packages/torch/serialization.py", line 211, in init
super(_open_file, self).__init__(open(name, mode))FileNotFoundError: [Errno 2] No such file or directory: ''
made up check point. (file doesn't exist) (torch) ➜ One-Shot_Free-View_Neural_Talking_Head_Synthesis git:(main) ✗ python demo.py --config config/vox-256.yaml --checkpoint ./check.pt --source_image '/home/jp/Desktop/2.jpg' --driving_video '/home/jp/Documents/gitWorkspace/SimSwap/J11-wm.mp4' --relative --adapt_scale --find_best_frame
demo.py:28: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
config = yaml.load(f)
Traceback (most recent call last):
File "demo.py", line 282, in
generator, kp_detector, he_estimator = load_checkpoints(config_path=opt.config, checkpoint_path=opt.checkpoint, cpu=opt.cpu)File "demo.py", line 48, in load_checkpoints
checkpoint = torch.load(checkpoint_path)File "/home/jp/miniconda3/envs/torch/lib/python3.8/site-packages/torch/serialization.py", line 579, in load
with _open_file_like(f, 'rb') as opened_file:File "/home/jp/miniconda3/envs/torch/lib/python3.8/site-packages/torch/serialization.py", line 230, in _open_file_like
return _open_file(name_or_buffer, mode)File "/home/jp/miniconda3/envs/torch/lib/python3.8/site-packages/torch/serialization.py", line 211, in init
super(_open_file, self).__init__(open(name, mode))FileNotFoundError: [Errno 2] No such file or directory: './check.pt'
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Hello, ZLH Thank you for you great implementation.
Would you mind providing the pretrained models (checkpoints)? Thank you for your help.
Jihye 😊