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| import cv2 | |
| import numpy as np | |
| def resize_image(input_image, resolution, interpolation=None): | |
| H, W, C = input_image.shape | |
| H = float(H) | |
| W = float(W) | |
| k = float(resolution) / max(H, W) | |
| H *= k | |
| W *= k | |
| H = int(np.round(H / 64.0)) * 64 | |
| W = int(np.round(W / 64.0)) * 64 | |
| if interpolation is None: | |
| interpolation = cv2.INTER_LANCZOS4 if k > 1 else cv2.INTER_AREA | |
| img = cv2.resize(input_image, (W, H), interpolation=interpolation) | |
| return img | |