| import cv2 | |
| import numpy as np | |
| def resize_image(input_image: np.ndarray, target_resolution: input = 512, dividable_by: int = 64) -> np.ndarray: | |
| height, width, _ = input_image.shape | |
| k = float(target_resolution) / min(height, width) | |
| target_width = width * k | |
| target_width = int(np.round(target_width / dividable_by)) * dividable_by | |
| target_height = height * k | |
| target_height = int(np.round(target_height / dividable_by)) * dividable_by | |
| return cv2.resize( | |
| input_image, (target_width, target_height), interpolation=cv2.INTER_LANCZOS4 if k > 1 else cv2.INTER_AREA | |
| ) | |