chris
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d17a440cd6
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- refactored swapper.py to optimized code logic
- refactored "get_face" and "get_all_faces" to "get_face_single" and "get_face_many" respectively
- moved all global booleans to top of file
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2023-06-01 15:09:12 -04:00 |
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chris
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841b2d06c3
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Merge remote-tracking branch 'origin/main'
# Conflicts:
# core/globals.py
# core/processor.py
# run.py
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2023-05-31 11:35:39 -04:00 |
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chris
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6fbc2d32b3
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- allow processing all faces within a frame
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2023-05-31 11:28:13 -04:00 |
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henryruhs
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7abb42724e
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Introduce lint pipeline and fix some minor issues flake8 complained about
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2023-05-31 10:32:40 +02:00 |
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Somdev Sangwan
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4867f356ef
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fix gpu issues for some envs
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2023-05-31 12:43:43 +05:30 |
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Somdev Sangwan
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1cc34ce8e0
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bruh moment 12
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2023-05-31 12:42:34 +05:30 |
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Shivam Kumar
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9c1ea4fa01
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Fix GPU not being used even when it available
On lots of systems onnxruntime doesn't detect GPU unless pytorch is imported before it. So despite having CUDA and CUDNN setup correctly, it is only using CPUExecutionProvider. By importing pytorch first, the issue is fixed. So let's use this until any official solution is available.
See: https://stackoverflow.com/questions/75294639/onnxruntime-inference-with-cudnn-on-gpu-only-working-if-pytorch-imported-first
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2023-05-31 09:20:41 +05:30 |
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henryruhs
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dc0653ad39
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Restore globals, add process time for better comparison
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2023-05-30 01:03:43 +02:00 |
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henryruhs
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54f800dd0e
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Add GPU support, Quit on missing model, Remove globals (sorry)
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2023-05-30 00:40:02 +02:00 |
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Somdev Sangwan
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4bb6ea416e
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reverse providers logic
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2023-05-29 23:10:52 +05:30 |
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Somdev Sangwan
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32ebd9191c
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bruh moment 3
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2023-05-29 19:13:55 +05:30 |
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