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77 lines
2.2 KiB
77 lines
2.2 KiB
# Ultralytics YOLO 🚀, AGPL-3.0 license |
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"""Monkey patches to update/extend functionality of existing functions.""" |
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from pathlib import Path |
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import cv2 |
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import numpy as np |
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import torch |
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# OpenCV Multilanguage-friendly functions ------------------------------------------------------------------------------ |
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_imshow = cv2.imshow # copy to avoid recursion errors |
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def imread(filename: str, flags: int = cv2.IMREAD_COLOR): |
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""" |
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Read an image from a file. |
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Args: |
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filename (str): Path to the file to read. |
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flags (int, optional): Flag that can take values of cv2.IMREAD_*. Defaults to cv2.IMREAD_COLOR. |
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Returns: |
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(np.ndarray): The read image. |
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""" |
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return cv2.imdecode(np.fromfile(filename, np.uint8), flags) |
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def imwrite(filename: str, img: np.ndarray, params=None): |
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""" |
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Write an image to a file. |
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Args: |
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filename (str): Path to the file to write. |
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img (np.ndarray): Image to write. |
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params (list of ints, optional): Additional parameters. See OpenCV documentation. |
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Returns: |
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(bool): True if the file was written, False otherwise. |
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""" |
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try: |
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cv2.imencode(Path(filename).suffix, img, params)[1].tofile(filename) |
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return True |
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except Exception: |
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return False |
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def imshow(winname: str, mat: np.ndarray): |
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""" |
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Displays an image in the specified window. |
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Args: |
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winname (str): Name of the window. |
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mat (np.ndarray): Image to be shown. |
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""" |
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_imshow(winname.encode('unicode_escape').decode(), mat) |
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# PyTorch functions ---------------------------------------------------------------------------------------------------- |
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_torch_save = torch.save # copy to avoid recursion errors |
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def torch_save(*args, **kwargs): |
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""" |
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Use dill (if exists) to serialize the lambda functions where pickle does not do this. |
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Args: |
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*args (tuple): Positional arguments to pass to torch.save. |
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**kwargs (dict): Keyword arguments to pass to torch.save. |
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""" |
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try: |
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import dill as pickle # noqa |
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except ImportError: |
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import pickle |
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if 'pickle_module' not in kwargs: |
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kwargs['pickle_module'] = pickle # noqa |
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return _torch_save(*args, **kwargs)
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