Comments (4)
See:
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See:
Can someone help me implement this fix. I use a hosted GPU runtime. This fix assumes a local run time.
from simswap.
This bug is about the timm.
We have given new installation instructions, please use the following instructions to reinstall timm:
timm==0.5.4
from simswap.
Thanks for your reply. I installed "timm==0.5.4" as you suggested. I tried in different places on the installation list:
!pip install timm==0.5.4
!pip install insightface==0.2.1 onnxruntime moviepy
!pip install timm==0.5.4
!pip install googledrivedownloader
!pip install imageio==2.4.1
!pip install timm==0.5.4
I used the released version of SimSwap:
and, I disconnected and deleted runtime, each time I tried. All attempts resulted in the same error:
ValueError Traceback (most recent call last)
in <cell line: 30>()
28 ## model.eval()
29
---> 30 app = Face_detect_crop(name='antelope', root='./insightface_func/models')
31 app.prepare(ctx_id= 0, det_thresh=0.6, det_size=(640,640),mode=mode)
32
5 frames
/usr/local/lib/python3.10/dist-packages/onnxruntime/capi/onnxruntime_inference_collection.py in _create_inference_session(self, providers, provider_options, disabled_optimizers)
449 if not providers and len(available_providers) > 1:
450 self.disable_fallback()
--> 451 raise ValueError(
452 f"This ORT build has {available_providers} enabled. "
453 "Since ORT 1.9, you are required to explicitly set "
ValueError: This ORT build has ['AzureExecutionProvider', 'CPUExecutionProvider'] enabled. Since ORT 1.9, you are required to explicitly set the providers parameter when instantiating InferenceSession. For example, onnxruntime.InferenceSession(..., providers=['AzureExecutionProvider', 'CPUExecutionProvider'], ...)
from simswap.
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