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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: str, flags: int = cv2.IMREAD_COLOR):
"""Read an image from a file.
Args:
filename (str): Path to the file to read.
flags (int, optional): Flag that can take values of cv2.IMREAD_*. Defaults to cv2.IMREAD_COLOR.
Returns:
(np.ndarray): The read image.
"""
return cv2.imdecode(np.fromfile(filename, np.uint8), flags)
def imwrite(filename: str, img: np.ndarray, params=None):
"""Write an image to a file.
Args:
filename (str): Path to the file to write.
img (np.ndarray): Image to write.
params (list of ints, optional): Additional parameters. See OpenCV documentation.
Returns:
(bool): True if the file was written, False otherwise.
"""
try:
cv2.imencode(Path(filename).suffix, img, params)[1].tofile(filename)
return True
except Exception:
return False
def imshow(winname: str, mat: np.ndarray):
"""Displays an image in the specified window.
Args:
winname (str): Name of the window.
mat (np.ndarray): Image to be shown.
"""
_imshow(winname.encode('unicode_escape').decode(), mat)
# 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.
Args:
*args (tuple): Positional arguments to pass to torch.save.
**kwargs (dict): Keyword arguments to pass to torch.save.
"""
try:
import dill as pickle # noqa
except ImportError:
import pickle
if 'pickle_module' not in kwargs:
kwargs['pickle_module'] = pickle # noqa
return _torch_save(*args, **kwargs)
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