Improvements (#142)

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Glenn Jocher 2023-01-04 16:37:46 +01:00 committed by GitHub
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6 changed files with 149 additions and 45 deletions

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@ -1,5 +1,6 @@
import glob
import inspect
import math
import platform
import urllib
from pathlib import Path
@ -13,71 +14,141 @@ import torch
from ultralytics.yolo.utils import (AUTOINSTALL, FONT, LOGGER, ROOT, USER_CONFIG_DIR, TryExcept, colorstr, emojis,
is_docker, is_jupyter_notebook)
from ultralytics.yolo.utils.ops import make_divisible
def is_ascii(s=''):
# Is string composed of all ASCII (no UTF) characters? (note str().isascii() introduced in python 3.7)
s = str(s) # convert list, tuple, None, etc. to str
return len(s.encode().decode('ascii', 'ignore')) == len(s)
def is_ascii(s) -> bool:
"""
Check if a string is composed of only ASCII characters.
Args:
s (str): String to be checked.
Returns:
bool: True if the string is composed only of ASCII characters, False otherwise.
"""
# Convert list, tuple, None, etc. to string
s = str(s)
# Check if the string is composed of only ASCII characters
return all(ord(c) < 128 for c in s)
def check_imgsz(imgsz, stride=32, min_dim=1, floor=0):
# Verify image size is a multiple of stride s in each dimension
"""
Verify image size is a multiple of the given stride in each dimension. If the image size is not a multiple of the
stride, update it to the nearest multiple of the stride that is greater than or equal to the given floor value.
Args:
imgsz (int or List[int]): Image size.
stride (int): Stride value.
min_dim (int): Minimum number of dimensions.
floor (int): Minimum allowed value for image size.
Returns:
List[int]: Updated image size.
"""
# Convert stride to integer if it is a tensor
stride = int(stride.max() if isinstance(stride, torch.Tensor) else stride)
if isinstance(imgsz, int): # integer i.e. imgsz=640
sz = max(make_divisible(imgsz, stride), floor)
else: # list i.e. imgsz=[640, 480]
imgsz = list(imgsz) # convert to list if tuple
sz = [max(make_divisible(x, stride), floor) for x in imgsz]
# Convert image size to list if it is an integer
if isinstance(imgsz, int):
imgsz = [imgsz]
# Make image size a multiple of the stride
sz = [max(math.ceil(x / stride) * stride, floor) for x in imgsz]
# Print warning message if image size was updated
if sz != imgsz:
LOGGER.warning(f'WARNING ⚠️ --img-size {imgsz} must be multiple of max stride {stride}, updating to {sz}')
# Check dims
if min_dim == 2:
if isinstance(imgsz, int):
sz = [sz, sz]
elif len(sz) == 1:
sz = [sz[0], sz[0]]
# Add missing dimensions if necessary
if min_dim == 2 and len(sz) == 1:
sz = [sz[0], sz[0]]
return sz
def check_version(current="0.0.0", minimum="0.0.0", name="version ", pinned=False, hard=False, verbose=False):
# Check version vs. required version
current, minimum = (pkg.parse_version(x) for x in (current, minimum))
def check_version(current: str = "0.0.0",
minimum: str = "0.0.0",
name: str = "version ",
pinned: bool = False,
hard: bool = False,
verbose: bool = False) -> bool:
"""
Check current version against the required minimum version.
Args:
current (str): Current version.
minimum (str): Required minimum version.
name (str): Name to be used in warning message.
pinned (bool): If True, versions must match exactly. If False, minimum version must be satisfied.
hard (bool): If True, raise an AssertionError if the minimum version is not met.
verbose (bool): If True, print warning message if minimum version is not met.
Returns:
bool: True if minimum version is met, False otherwise.
"""
from pkg_resources import parse_version
current, minimum = (parse_version(x) for x in (current, minimum))
result = (current == minimum) if pinned else (current >= minimum) # bool
s = f"WARNING ⚠️ {name}{minimum} is required by YOLOv5, but {name}{current} is currently installed" # string
warning_message = f"WARNING ⚠️ {name}{minimum} is required by YOLOv5, but {name}{current} is currently installed"
if hard:
assert result, emojis(s) # assert min requirements met
assert result, emojis(warning_message) # assert min requirements met
if verbose and not result:
LOGGER.warning(s)
LOGGER.warning(warning_message)
return result
def check_font(font=FONT, progress=False):
# Download font to CONFIG_DIR if necessary
def check_font(font: str = FONT, progress: bool = False) -> None:
"""
Download font file to the user's configuration directory if it does not already exist.
Args:
font (str): Path to font file.
progress (bool): If True, display a progress bar during the download.
Returns:
None
"""
font = Path(font)
# Destination path for the font file
file = USER_CONFIG_DIR / font.name
# Check if font file exists at the source or destination path
if not font.exists() and not file.exists():
# Download font file
url = f'https://ultralytics.com/assets/{font.name}'
LOGGER.info(f'Downloading {url} to {file}...')
torch.hub.download_url_to_file(url, str(file), progress=progress)
def check_online():
# Check internet connectivity
def check_online() -> bool:
"""
Check internet connectivity by attempting to connect to a known online host.
Returns:
bool: True if connection is successful, False otherwise.
"""
import socket
try:
socket.create_connection(("1.1.1.1", 443), 5) # check host accessibility
# Check host accessibility by attempting to establish a connection
socket.create_connection(("1.1.1.1", 443), timeout=5)
return True
except OSError:
return False
def check_python(minimum='3.7.0'):
# Check current python version vs. required python version
def check_python(minimum: str = '3.7.0') -> bool:
"""
Check current python version against the required minimum version.
Args:
minimum (str): Required minimum version of python.
Returns:
None
"""
check_version(platform.python_version(), minimum, name='Python ', hard=True)