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| # Ultralytics YOLO 🚀, AGPL-3.0 license | |
| """ | |
| Monkey patches to update/extend functionality of existing functions | |
| """ | |
| from pathlib import Path | |
| import cv2 | |
| import numpy as np | |
| import torch | |
| # OpenCV Multilanguage-friendly functions ------------------------------------------------------------------------------ | |
| _imshow = cv2.imshow # copy to avoid recursion errors | |
| def imread(filename, flags=cv2.IMREAD_COLOR): | |
| return cv2.imdecode(np.fromfile(filename, np.uint8), flags) | |
| def imwrite(filename, img): | |
| try: | |
| cv2.imencode(Path(filename).suffix, img)[1].tofile(filename) | |
| return True | |
| except Exception: | |
| return False | |
| def imshow(path, im): | |
| _imshow(path.encode('unicode_escape').decode(), im) | |
| # PyTorch functions ---------------------------------------------------------------------------------------------------- | |
| _torch_save = torch.save # copy to avoid recursion errors | |
| def torch_save(*args, **kwargs): | |
| """Use dill (if exists) to serialize the lambda functions where pickle does not do this.""" | |
| try: | |
| import dill as pickle | |
| except ImportError: | |
| import pickle | |
| if 'pickle_module' not in kwargs: | |
| kwargs['pickle_module'] = pickle | |
| return _torch_save(*args, **kwargs) | |