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Traceback (most recent call last):
File "D:\ProgramData\anaconda3\envs\mofa\lib\site-packages\gradio\queueing.py", line 501, in process_events
response = await self.call_prediction(awake_events, batch)
File "D:\ProgramData\anaconda3\envs\mofa\lib\site-packages\gradio\queueing.py", line 465, in call_prediction
raise Exception(str(error) if show_error else None) from error
Exception: None
You selected None at [202, 183] from image
[[[202, 183]]]
You selected None at [266, 181] from image
[[[202, 183], [266, 181]]]
torch.Size([1, 24, 2, 512, 512])
You selected None at [361, 184] from image
[[[202, 183], [266, 181]], [[361, 184]]]
You selected None at [322, 183] from image
[[[202, 183], [266, 181]], [[361, 184], [322, 183]]]
torch.Size([1, 24, 2, 512, 512])
torch.Size([1, 24, 2, 512, 512])
torch.Size([1, 24, 2, 512, 512])
Some weights of Wav2Vec2Model were not initialized from the model checkpoint at ckpts/aniportrait/wav2vec2-base-960h and are newly initialized: ['wav2vec2.encoder.pos_conv_embed.conv.parametrizations.weight.original0', 'wav2vec2.encoder.pos_conv_embed.conv.parametrizations.weight.original1', 'wav2vec2.masked_spec_embed']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
Some weights of Wav2Vec2Model were not initialized from the model checkpoint at ckpts/aniportrait/wav2vec2-base-960h and are newly initialized: ['wav2vec2.encoder.pos_conv_embed.conv.parametrizations.weight.original0', 'wav2vec2.encoder.pos_conv_embed.conv.parametrizations.weight.original1', 'wav2vec2.masked_spec_embed']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
W0000 00:00:1720787583.023144 13052 face_landmarker_graph.cc:174] Sets FaceBlendshapesGraph acceleration to xnnpack by default.
INFO: Created TensorFlow Lite XNNPACK delegate for CPU.
W0000 00:00:1720787583.041082 2184 inference_feedback_manager.cc:114] Feedback manager requires a model with a single signature inference. Disabling support for feedback tensors.
W0000 00:00:1720787583.049103 12412 inference_feedback_manager.cc:114] Feedback manager requires a model with a single signature inference. Disabling support for feedback tensors.
W0000 00:00:1720787583.057753 13100 inference_feedback_manager.cc:114] Feedback manager requires a model with a single signature inference. Disabling support for feedback tensors.
D:\ProgramData\anaconda3\envs\mofa\lib\site-packages\google\protobuf\symbol_database.py:55: UserWarning: SymbolDatabase.GetPrototype() is deprecated. Please use message_factory.GetMessageClass() instead. SymbolDatabase.GetPrototype() will be removed soon.
warnings.warn('SymbolDatabase.GetPrototype() is deprecated. Please '
100%|██████████████████████████████████████████████████████████████████████████████████| 25/25 [00:47<00:00, 1.89s/it]
100%|█████████████████████████████████████████████████████████████████████████████████| 25/25 [00:00<00:00, 192.78it/s] Exception in callback _ProactorBasePipeTransport._call_connection_lost(None)
handle: <Handle _ProactorBasePipeTransport._call_connection_lost(None)>
Traceback (most recent call last):
File "D:\ProgramData\anaconda3\envs\mofa\lib\asyncio\events.py", line 80, in _run
self._context.run(self._callback, *self._args)
File "D:\ProgramData\anaconda3\envs\mofa\lib\asyncio\proactor_events.py", line 165, in _call_connection_lost
self._sock.shutdown(socket.SHUT_RDWR)
ConnectionResetError: [WinError 10054] 远程主机强迫关闭了一个现有的连接。
The text was updated successfully, but these errors were encountered:
Traceback (most recent call last):
![微信图片_20240712210632](https://private-user-images.githubusercontent.com/163619858/348271894-d93c73f4-a54b-4ed2-bab7-24ba0ec5881e.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MjQyOTA4NDIsIm5iZiI6MTcyNDI5MDU0MiwicGF0aCI6Ii8xNjM2MTk4NTgvMzQ4MjcxODk0LWQ5M2M3M2Y0LWE1NGItNGVkMi1iYWI3LTI0YmEwZWM1ODgxZS5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwODIyJTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDgyMlQwMTM1NDJaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT0yNGE5NDJjNjAxMWI0MGQyMGEwZWQxZDMwMDQ1Y2Y3MDVhNDEyOGI3NTUxZDdkYWM1OGIzNjM2OGQ4MTcwZmEwJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.o-tRxfcK50sPzM2rQZR0f4ZTgbwZMt3jJZweRXZZGRU)
File "D:\ProgramData\anaconda3\envs\mofa\lib\site-packages\gradio\queueing.py", line 501, in process_events
response = await self.call_prediction(awake_events, batch)
File "D:\ProgramData\anaconda3\envs\mofa\lib\site-packages\gradio\queueing.py", line 465, in call_prediction
raise Exception(str(error) if show_error else None) from error
Exception: None
You selected None at [202, 183] from image
[[[202, 183]]]
You selected None at [266, 181] from image
[[[202, 183], [266, 181]]]
torch.Size([1, 24, 2, 512, 512])
You selected None at [361, 184] from image
[[[202, 183], [266, 181]], [[361, 184]]]
You selected None at [322, 183] from image
[[[202, 183], [266, 181]], [[361, 184], [322, 183]]]
torch.Size([1, 24, 2, 512, 512])
torch.Size([1, 24, 2, 512, 512])
torch.Size([1, 24, 2, 512, 512])
Some weights of Wav2Vec2Model were not initialized from the model checkpoint at ckpts/aniportrait/wav2vec2-base-960h and are newly initialized: ['wav2vec2.encoder.pos_conv_embed.conv.parametrizations.weight.original0', 'wav2vec2.encoder.pos_conv_embed.conv.parametrizations.weight.original1', 'wav2vec2.masked_spec_embed']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
Some weights of Wav2Vec2Model were not initialized from the model checkpoint at ckpts/aniportrait/wav2vec2-base-960h and are newly initialized: ['wav2vec2.encoder.pos_conv_embed.conv.parametrizations.weight.original0', 'wav2vec2.encoder.pos_conv_embed.conv.parametrizations.weight.original1', 'wav2vec2.masked_spec_embed']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
W0000 00:00:1720787583.023144 13052 face_landmarker_graph.cc:174] Sets FaceBlendshapesGraph acceleration to xnnpack by default.
INFO: Created TensorFlow Lite XNNPACK delegate for CPU.
W0000 00:00:1720787583.041082 2184 inference_feedback_manager.cc:114] Feedback manager requires a model with a single signature inference. Disabling support for feedback tensors.
W0000 00:00:1720787583.049103 12412 inference_feedback_manager.cc:114] Feedback manager requires a model with a single signature inference. Disabling support for feedback tensors.
W0000 00:00:1720787583.057753 13100 inference_feedback_manager.cc:114] Feedback manager requires a model with a single signature inference. Disabling support for feedback tensors.
D:\ProgramData\anaconda3\envs\mofa\lib\site-packages\google\protobuf\symbol_database.py:55: UserWarning: SymbolDatabase.GetPrototype() is deprecated. Please use message_factory.GetMessageClass() instead. SymbolDatabase.GetPrototype() will be removed soon.
warnings.warn('SymbolDatabase.GetPrototype() is deprecated. Please '
100%|██████████████████████████████████████████████████████████████████████████████████| 25/25 [00:47<00:00, 1.89s/it]
100%|█████████████████████████████████████████████████████████████████████████████████| 25/25 [00:00<00:00, 192.78it/s]
Exception in callback _ProactorBasePipeTransport._call_connection_lost(None)
handle: <Handle _ProactorBasePipeTransport._call_connection_lost(None)>
Traceback (most recent call last):
File "D:\ProgramData\anaconda3\envs\mofa\lib\asyncio\events.py", line 80, in _run
self._context.run(self._callback, *self._args)
File "D:\ProgramData\anaconda3\envs\mofa\lib\asyncio\proactor_events.py", line 165, in _call_connection_lost
self._sock.shutdown(socket.SHUT_RDWR)
ConnectionResetError: [WinError 10054] 远程主机强迫关闭了一个现有的连接。
The text was updated successfully, but these errors were encountered: