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Upload encoders/_preprocessing.py
Browse files- encoders/_preprocessing.py +23 -0
encoders/_preprocessing.py
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import numpy as np
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def preprocess_input(
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x, mean=None, std=None, input_space="RGB", input_range=None, **kwargs
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):
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if input_space == "BGR":
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x = x[..., ::-1].copy()
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if input_range is not None:
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if x.max() > 1 and input_range[1] == 1:
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x = x / 255.0
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if mean is not None:
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mean = np.array(mean)
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x = x - mean
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if std is not None:
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std = np.array(std)
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x = x / std
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return x
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