mirror of https://github.com/vladmandic/automatic
22 lines
567 B
Python
22 lines
567 B
Python
import numpy as np
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import torch
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from modules import images_sharpfin
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import PIL
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JPEG_QUALITY = 95
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def preprocess(image, processor, **kwargs):
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if isinstance(image, PIL.Image.Image):
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pass
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elif isinstance(image, np.ndarray):
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image = PIL.Image.fromarray(image)
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elif isinstance(image, torch.Tensor):
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image = images_sharpfin.to_pil(image)
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else:
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raise TypeError(f"Image must be of type PIL.Image, np.ndarray, or torch.Tensor, got {type(image)} instead.")
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image = processor.preprocess(image, **kwargs)
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return image
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