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# Ultralytics YOLO 🚀, AGPL-3.0 license
"""Monkey patches to update/extend functionality of existing functions."""
import time
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, use_dill=True, **kwargs):
"""
Optionally use dill to serialize lambda functions where pickle does not, adding robustness with 3 retries and
exponential standoff in case of save failure.
Args:
*args (tuple): Positional arguments to pass to torch.save.
use_dill (bool): Whether to try using dill for serialization if available. Defaults to True.
**kwargs (any): Keyword arguments to pass to torch.save.
"""
try:
assert use_dill
import dill as pickle
except (AssertionError, ImportError):
import pickle
if "pickle_module" not in kwargs:
kwargs["pickle_module"] = pickle
for i in range(4): # 3 retries
try:
return _torch_save(*args, **kwargs)
except RuntimeError as e: # unable to save, possibly waiting for device to flush or antivirus scan
if i == 3:
raise e
time.sleep((2**i) / 2) # exponential standoff: 0.5s, 1.0s, 2.0s
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