| import numpy as np | |
| def preprocess_input( | |
| x, mean=None, std=None, input_space="RGB", input_range=None, **kwargs | |
| ): | |
| if input_space == "BGR": | |
| x = x[..., ::-1].copy() | |
| if input_range is not None: | |
| if x.max() > 1 and input_range[1] == 1: | |
| x = x / 255.0 | |
| if mean is not None: | |
| mean = np.array(mean) | |
| x = x - mean | |
| if std is not None: | |
| std = np.array(std) | |
| x = x / std | |
| return x | |