add yolo v10 and modify pipeline
This commit is contained in:
@ -9,6 +9,7 @@ import re
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import subprocess
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import sys
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import threading
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import time
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import urllib
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import uuid
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from pathlib import Path
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@ -25,23 +26,22 @@ from tqdm import tqdm as tqdm_original
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from ultralytics import __version__
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# PyTorch Multi-GPU DDP Constants
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RANK = int(os.getenv('RANK', -1))
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LOCAL_RANK = int(os.getenv('LOCAL_RANK', -1)) # https://pytorch.org/docs/stable/elastic/run.html
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RANK = int(os.getenv("RANK", -1))
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LOCAL_RANK = int(os.getenv("LOCAL_RANK", -1)) # https://pytorch.org/docs/stable/elastic/run.html
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# Other Constants
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FILE = Path(__file__).resolve()
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ROOT = FILE.parents[1] # YOLO
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ASSETS = ROOT / 'assets' # default images
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DEFAULT_CFG_PATH = ROOT / 'cfg/default.yaml'
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ASSETS = ROOT / "assets" # default images
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DEFAULT_CFG_PATH = ROOT / "cfg/default.yaml"
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NUM_THREADS = min(8, max(1, os.cpu_count() - 1)) # number of YOLOv5 multiprocessing threads
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AUTOINSTALL = str(os.getenv('YOLO_AUTOINSTALL', True)).lower() == 'true' # global auto-install mode
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VERBOSE = str(os.getenv('YOLO_VERBOSE', True)).lower() == 'true' # global verbose mode
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TQDM_BAR_FORMAT = '{l_bar}{bar:10}{r_bar}' if VERBOSE else None # tqdm bar format
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LOGGING_NAME = 'ultralytics'
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MACOS, LINUX, WINDOWS = (platform.system() == x for x in ['Darwin', 'Linux', 'Windows']) # environment booleans
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ARM64 = platform.machine() in ('arm64', 'aarch64') # ARM64 booleans
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HELP_MSG = \
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"""
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AUTOINSTALL = str(os.getenv("YOLO_AUTOINSTALL", True)).lower() == "true" # global auto-install mode
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VERBOSE = str(os.getenv("YOLO_VERBOSE", True)).lower() == "true" # global verbose mode
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TQDM_BAR_FORMAT = "{l_bar}{bar:10}{r_bar}" if VERBOSE else None # tqdm bar format
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LOGGING_NAME = "ultralytics"
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MACOS, LINUX, WINDOWS = (platform.system() == x for x in ["Darwin", "Linux", "Windows"]) # environment booleans
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ARM64 = platform.machine() in ("arm64", "aarch64") # ARM64 booleans
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HELP_MSG = """
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Usage examples for running YOLOv8:
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1. Install the ultralytics package:
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@ -77,7 +77,7 @@ HELP_MSG = \
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yolo detect train data=coco128.yaml model=yolov8n.pt epochs=10 lr0=0.01
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- Predict a YouTube video using a pretrained segmentation model at image size 320:
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yolo segment predict model=yolov8n-seg.pt source='https://youtu.be/Zgi9g1ksQHc' imgsz=320
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yolo segment predict model=yolov8n-seg.pt source='https://youtu.be/LNwODJXcvt4' imgsz=320
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- Val a pretrained detection model at batch-size 1 and image size 640:
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yolo detect val model=yolov8n.pt data=coco128.yaml batch=1 imgsz=640
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@ -99,12 +99,12 @@ HELP_MSG = \
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"""
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# Settings
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torch.set_printoptions(linewidth=320, precision=4, profile='default')
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np.set_printoptions(linewidth=320, formatter={'float_kind': '{:11.5g}'.format}) # format short g, %precision=5
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torch.set_printoptions(linewidth=320, precision=4, profile="default")
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np.set_printoptions(linewidth=320, formatter={"float_kind": "{:11.5g}".format}) # format short g, %precision=5
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cv2.setNumThreads(0) # prevent OpenCV from multithreading (incompatible with PyTorch DataLoader)
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os.environ['NUMEXPR_MAX_THREADS'] = str(NUM_THREADS) # NumExpr max threads
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os.environ['CUBLAS_WORKSPACE_CONFIG'] = ':4096:8' # for deterministic training
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os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' # suppress verbose TF compiler warnings in Colab
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os.environ["NUMEXPR_MAX_THREADS"] = str(NUM_THREADS) # NumExpr max threads
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os.environ["CUBLAS_WORKSPACE_CONFIG"] = ":4096:8" # for deterministic training
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os.environ["TF_CPP_MIN_LOG_LEVEL"] = "2" # suppress verbose TF compiler warnings in Colab
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class TQDM(tqdm_original):
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@ -113,19 +113,22 @@ class TQDM(tqdm_original):
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Args:
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*args (list): Positional arguments passed to original tqdm.
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**kwargs (dict): Keyword arguments, with custom defaults applied.
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**kwargs (any): Keyword arguments, with custom defaults applied.
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"""
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def __init__(self, *args, **kwargs):
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# Set new default values (these can still be overridden when calling TQDM)
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kwargs['disable'] = not VERBOSE or kwargs.get('disable', False) # logical 'and' with default value if passed
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kwargs.setdefault('bar_format', TQDM_BAR_FORMAT) # override default value if passed
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"""
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Initialize custom Ultralytics tqdm class with different default arguments.
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Note these can still be overridden when calling TQDM.
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"""
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kwargs["disable"] = not VERBOSE or kwargs.get("disable", False) # logical 'and' with default value if passed
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kwargs.setdefault("bar_format", TQDM_BAR_FORMAT) # override default value if passed
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super().__init__(*args, **kwargs)
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class SimpleClass:
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"""
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Ultralytics SimpleClass is a base class providing helpful string representation, error reporting, and attribute
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"""Ultralytics SimpleClass is a base class providing helpful string representation, error reporting, and attribute
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access methods for easier debugging and usage.
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"""
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@ -134,14 +137,14 @@ class SimpleClass:
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attr = []
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for a in dir(self):
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v = getattr(self, a)
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if not callable(v) and not a.startswith('_'):
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if not callable(v) and not a.startswith("_"):
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if isinstance(v, SimpleClass):
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# Display only the module and class name for subclasses
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s = f'{a}: {v.__module__}.{v.__class__.__name__} object'
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s = f"{a}: {v.__module__}.{v.__class__.__name__} object"
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else:
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s = f'{a}: {repr(v)}'
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s = f"{a}: {repr(v)}"
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attr.append(s)
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return f'{self.__module__}.{self.__class__.__name__} object with attributes:\n\n' + '\n'.join(attr)
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return f"{self.__module__}.{self.__class__.__name__} object with attributes:\n\n" + "\n".join(attr)
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def __repr__(self):
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"""Return a machine-readable string representation of the object."""
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@ -154,8 +157,7 @@ class SimpleClass:
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class IterableSimpleNamespace(SimpleNamespace):
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"""
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Ultralytics IterableSimpleNamespace is an extension class of SimpleNamespace that adds iterable functionality and
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"""Ultralytics IterableSimpleNamespace is an extension class of SimpleNamespace that adds iterable functionality and
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enables usage with dict() and for loops.
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"""
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@ -165,24 +167,26 @@ class IterableSimpleNamespace(SimpleNamespace):
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def __str__(self):
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"""Return a human-readable string representation of the object."""
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return '\n'.join(f'{k}={v}' for k, v in vars(self).items())
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return "\n".join(f"{k}={v}" for k, v in vars(self).items())
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def __getattr__(self, attr):
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"""Custom attribute access error message with helpful information."""
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name = self.__class__.__name__
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raise AttributeError(f"""
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raise AttributeError(
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f"""
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'{name}' object has no attribute '{attr}'. This may be caused by a modified or out of date ultralytics
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'default.yaml' file.\nPlease update your code with 'pip install -U ultralytics' and if necessary replace
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{DEFAULT_CFG_PATH} with the latest version from
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https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/default.yaml
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""")
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"""
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)
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def get(self, key, default=None):
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"""Return the value of the specified key if it exists; otherwise, return the default value."""
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return getattr(self, key, default)
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def plt_settings(rcparams=None, backend='Agg'):
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def plt_settings(rcparams=None, backend="Agg"):
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"""
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Decorator to temporarily set rc parameters and the backend for a plotting function.
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@ -200,7 +204,7 @@ def plt_settings(rcparams=None, backend='Agg'):
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"""
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if rcparams is None:
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rcparams = {'font.size': 11}
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rcparams = {"font.size": 11}
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def decorator(func):
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"""Decorator to apply temporary rc parameters and backend to a function."""
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@ -208,12 +212,16 @@ def plt_settings(rcparams=None, backend='Agg'):
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def wrapper(*args, **kwargs):
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"""Sets rc parameters and backend, calls the original function, and restores the settings."""
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original_backend = plt.get_backend()
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plt.switch_backend(backend)
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if backend.lower() != original_backend.lower():
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plt.close("all") # auto-close()ing of figures upon backend switching is deprecated since 3.8
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plt.switch_backend(backend)
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with plt.rc_context(rcparams):
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result = func(*args, **kwargs)
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plt.switch_backend(original_backend)
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if backend != original_backend:
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plt.close("all")
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plt.switch_backend(original_backend)
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return result
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return wrapper
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@ -222,58 +230,59 @@ def plt_settings(rcparams=None, backend='Agg'):
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def set_logging(name=LOGGING_NAME, verbose=True):
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"""Sets up logging for the given name."""
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rank = int(os.getenv('RANK', -1)) # rank in world for Multi-GPU trainings
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level = logging.INFO if verbose and rank in {-1, 0} else logging.ERROR
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logging.config.dictConfig({
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'version': 1,
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'disable_existing_loggers': False,
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'formatters': {
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name: {
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'format': '%(message)s'}},
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'handlers': {
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name: {
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'class': 'logging.StreamHandler',
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'formatter': name,
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'level': level}},
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'loggers': {
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name: {
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'level': level,
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'handlers': [name],
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'propagate': False}}})
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"""Sets up logging for the given name with UTF-8 encoding support."""
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level = logging.INFO if verbose and RANK in {-1, 0} else logging.ERROR # rank in world for Multi-GPU trainings
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# Configure the console (stdout) encoding to UTF-8
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formatter = logging.Formatter("%(message)s") # Default formatter
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if WINDOWS and sys.stdout.encoding != "utf-8":
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try:
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if hasattr(sys.stdout, "reconfigure"):
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sys.stdout.reconfigure(encoding="utf-8")
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elif hasattr(sys.stdout, "buffer"):
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import io
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def emojis(string=''):
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"""Return platform-dependent emoji-safe version of string."""
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return string.encode().decode('ascii', 'ignore') if WINDOWS else string
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sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding="utf-8")
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else:
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sys.stdout.encoding = "utf-8"
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except Exception as e:
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print(f"Creating custom formatter for non UTF-8 environments due to {e}")
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class CustomFormatter(logging.Formatter):
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def format(self, record):
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"""Sets up logging with UTF-8 encoding and configurable verbosity."""
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return emojis(super().format(record))
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class EmojiFilter(logging.Filter):
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"""
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A custom logging filter class for removing emojis in log messages.
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formatter = CustomFormatter("%(message)s") # Use CustomFormatter to eliminate UTF-8 output as last recourse
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This filter is particularly useful for ensuring compatibility with Windows terminals
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that may not support the display of emojis in log messages.
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"""
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# Create and configure the StreamHandler
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stream_handler = logging.StreamHandler(sys.stdout)
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stream_handler.setFormatter(formatter)
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stream_handler.setLevel(level)
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def filter(self, record):
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"""Filter logs by emoji unicode characters on windows."""
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record.msg = emojis(record.msg)
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return super().filter(record)
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logger = logging.getLogger(name)
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logger.setLevel(level)
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logger.addHandler(stream_handler)
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logger.propagate = False
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return logger
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# Set logger
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set_logging(LOGGING_NAME, verbose=VERBOSE) # run before defining LOGGER
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LOGGER = logging.getLogger(LOGGING_NAME) # define globally (used in train.py, val.py, detect.py, etc.)
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if WINDOWS: # emoji-safe logging
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LOGGER.addFilter(EmojiFilter())
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LOGGER = set_logging(LOGGING_NAME, verbose=VERBOSE) # define globally (used in train.py, val.py, predict.py, etc.)
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for logger in "sentry_sdk", "urllib3.connectionpool":
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logging.getLogger(logger).setLevel(logging.CRITICAL + 1)
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def emojis(string=""):
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"""Return platform-dependent emoji-safe version of string."""
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return string.encode().decode("ascii", "ignore") if WINDOWS else string
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class ThreadingLocked:
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"""
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A decorator class for ensuring thread-safe execution of a function or method.
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This class can be used as a decorator to make sure that if the decorated function
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is called from multiple threads, only one thread at a time will be able to execute the function.
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A decorator class for ensuring thread-safe execution of a function or method. This class can be used as a decorator
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to make sure that if the decorated function is called from multiple threads, only one thread at a time will be able
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to execute the function.
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Attributes:
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lock (threading.Lock): A lock object used to manage access to the decorated function.
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@ -290,20 +299,23 @@ class ThreadingLocked:
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"""
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def __init__(self):
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"""Initializes the decorator class for thread-safe execution of a function or method."""
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self.lock = threading.Lock()
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def __call__(self, f):
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"""Run thread-safe execution of function or method."""
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from functools import wraps
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@wraps(f)
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def decorated(*args, **kwargs):
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"""Applies thread-safety to the decorated function or method."""
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with self.lock:
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return f(*args, **kwargs)
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return decorated
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def yaml_save(file='data.yaml', data=None, header=''):
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def yaml_save(file="data.yaml", data=None, header=""):
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"""
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Save YAML data to a file.
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@ -323,18 +335,19 @@ def yaml_save(file='data.yaml', data=None, header=''):
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file.parent.mkdir(parents=True, exist_ok=True)
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# Convert Path objects to strings
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valid_types = int, float, str, bool, list, tuple, dict, type(None)
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for k, v in data.items():
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if isinstance(v, Path):
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if not isinstance(v, valid_types):
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data[k] = str(v)
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# Dump data to file in YAML format
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with open(file, 'w', errors='ignore', encoding='utf-8') as f:
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with open(file, "w", errors="ignore", encoding="utf-8") as f:
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if header:
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f.write(header)
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yaml.safe_dump(data, f, sort_keys=False, allow_unicode=True)
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def yaml_load(file='data.yaml', append_filename=False):
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def yaml_load(file="data.yaml", append_filename=False):
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"""
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Load YAML data from a file.
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@ -345,18 +358,18 @@ def yaml_load(file='data.yaml', append_filename=False):
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Returns:
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(dict): YAML data and file name.
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"""
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assert Path(file).suffix in ('.yaml', '.yml'), f'Attempting to load non-YAML file {file} with yaml_load()'
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with open(file, errors='ignore', encoding='utf-8') as f:
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assert Path(file).suffix in (".yaml", ".yml"), f"Attempting to load non-YAML file {file} with yaml_load()"
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with open(file, errors="ignore", encoding="utf-8") as f:
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s = f.read() # string
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# Remove special characters
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if not s.isprintable():
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s = re.sub(r'[^\x09\x0A\x0D\x20-\x7E\x85\xA0-\uD7FF\uE000-\uFFFD\U00010000-\U0010ffff]+', '', s)
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s = re.sub(r"[^\x09\x0A\x0D\x20-\x7E\x85\xA0-\uD7FF\uE000-\uFFFD\U00010000-\U0010ffff]+", "", s)
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# Add YAML filename to dict and return
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data = yaml.safe_load(s) or {} # always return a dict (yaml.safe_load() may return None for empty files)
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if append_filename:
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data['yaml_file'] = str(file)
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data["yaml_file"] = str(file)
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return data
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@ -368,7 +381,7 @@ def yaml_print(yaml_file: Union[str, Path, dict]) -> None:
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yaml_file: The file path of the YAML file or a YAML-formatted dictionary.
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Returns:
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None
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(None)
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"""
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yaml_dict = yaml_load(yaml_file) if isinstance(yaml_file, (str, Path)) else yaml_file
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dump = yaml.dump(yaml_dict, sort_keys=False, allow_unicode=True)
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@ -378,7 +391,7 @@ def yaml_print(yaml_file: Union[str, Path, dict]) -> None:
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# Default configuration
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DEFAULT_CFG_DICT = yaml_load(DEFAULT_CFG_PATH)
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for k, v in DEFAULT_CFG_DICT.items():
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if isinstance(v, str) and v.lower() == 'none':
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if isinstance(v, str) and v.lower() == "none":
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DEFAULT_CFG_DICT[k] = None
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DEFAULT_CFG_KEYS = DEFAULT_CFG_DICT.keys()
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DEFAULT_CFG = IterableSimpleNamespace(**DEFAULT_CFG_DICT)
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@ -392,8 +405,8 @@ def is_ubuntu() -> bool:
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(bool): True if OS is Ubuntu, False otherwise.
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"""
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with contextlib.suppress(FileNotFoundError):
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with open('/etc/os-release') as f:
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return 'ID=ubuntu' in f.read()
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with open("/etc/os-release") as f:
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return "ID=ubuntu" in f.read()
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return False
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@ -404,7 +417,7 @@ def is_colab():
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Returns:
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(bool): True if running inside a Colab notebook, False otherwise.
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"""
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return 'COLAB_RELEASE_TAG' in os.environ or 'COLAB_BACKEND_VERSION' in os.environ
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return "COLAB_RELEASE_TAG" in os.environ or "COLAB_BACKEND_VERSION" in os.environ
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def is_kaggle():
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@ -414,19 +427,19 @@ def is_kaggle():
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Returns:
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(bool): True if running inside a Kaggle kernel, False otherwise.
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"""
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return os.environ.get('PWD') == '/kaggle/working' and os.environ.get('KAGGLE_URL_BASE') == 'https://www.kaggle.com'
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return os.environ.get("PWD") == "/kaggle/working" and os.environ.get("KAGGLE_URL_BASE") == "https://www.kaggle.com"
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||||
def is_jupyter():
|
||||
"""
|
||||
Check if the current script is running inside a Jupyter Notebook.
|
||||
Verified on Colab, Jupyterlab, Kaggle, Paperspace.
|
||||
Check if the current script is running inside a Jupyter Notebook. Verified on Colab, Jupyterlab, Kaggle, Paperspace.
|
||||
|
||||
Returns:
|
||||
(bool): True if running inside a Jupyter Notebook, False otherwise.
|
||||
"""
|
||||
with contextlib.suppress(Exception):
|
||||
from IPython import get_ipython
|
||||
|
||||
return get_ipython() is not None
|
||||
return False
|
||||
|
||||
@ -438,10 +451,10 @@ def is_docker() -> bool:
|
||||
Returns:
|
||||
(bool): True if the script is running inside a Docker container, False otherwise.
|
||||
"""
|
||||
file = Path('/proc/self/cgroup')
|
||||
file = Path("/proc/self/cgroup")
|
||||
if file.exists():
|
||||
with open(file) as f:
|
||||
return 'docker' in f.read()
|
||||
return "docker" in f.read()
|
||||
else:
|
||||
return False
|
||||
|
||||
@ -455,7 +468,7 @@ def is_online() -> bool:
|
||||
"""
|
||||
import socket
|
||||
|
||||
for host in '1.1.1.1', '8.8.8.8', '223.5.5.5': # Cloudflare, Google, AliDNS:
|
||||
for host in "1.1.1.1", "8.8.8.8", "223.5.5.5": # Cloudflare, Google, AliDNS:
|
||||
try:
|
||||
test_connection = socket.create_connection(address=(host, 53), timeout=2)
|
||||
except (socket.timeout, socket.gaierror, OSError):
|
||||
@ -509,23 +522,23 @@ def is_pytest_running():
|
||||
Returns:
|
||||
(bool): True if pytest is running, False otherwise.
|
||||
"""
|
||||
return ('PYTEST_CURRENT_TEST' in os.environ) or ('pytest' in sys.modules) or ('pytest' in Path(sys.argv[0]).stem)
|
||||
return ("PYTEST_CURRENT_TEST" in os.environ) or ("pytest" in sys.modules) or ("pytest" in Path(sys.argv[0]).stem)
|
||||
|
||||
|
||||
def is_github_actions_ci() -> bool:
|
||||
def is_github_action_running() -> bool:
|
||||
"""
|
||||
Determine if the current environment is a GitHub Actions CI Python runner.
|
||||
Determine if the current environment is a GitHub Actions runner.
|
||||
|
||||
Returns:
|
||||
(bool): True if the current environment is a GitHub Actions CI Python runner, False otherwise.
|
||||
(bool): True if the current environment is a GitHub Actions runner, False otherwise.
|
||||
"""
|
||||
return 'GITHUB_ACTIONS' in os.environ and 'RUNNER_OS' in os.environ and 'RUNNER_TOOL_CACHE' in os.environ
|
||||
return "GITHUB_ACTIONS" in os.environ and "GITHUB_WORKFLOW" in os.environ and "RUNNER_OS" in os.environ
|
||||
|
||||
|
||||
def is_git_dir():
|
||||
"""
|
||||
Determines whether the current file is part of a git repository.
|
||||
If the current file is not part of a git repository, returns None.
|
||||
Determines whether the current file is part of a git repository. If the current file is not part of a git
|
||||
repository, returns None.
|
||||
|
||||
Returns:
|
||||
(bool): True if current file is part of a git repository.
|
||||
@ -535,14 +548,14 @@ def is_git_dir():
|
||||
|
||||
def get_git_dir():
|
||||
"""
|
||||
Determines whether the current file is part of a git repository and if so, returns the repository root directory.
|
||||
If the current file is not part of a git repository, returns None.
|
||||
Determines whether the current file is part of a git repository and if so, returns the repository root directory. If
|
||||
the current file is not part of a git repository, returns None.
|
||||
|
||||
Returns:
|
||||
(Path | None): Git root directory if found or None if not found.
|
||||
"""
|
||||
for d in Path(__file__).parents:
|
||||
if (d / '.git').is_dir():
|
||||
if (d / ".git").is_dir():
|
||||
return d
|
||||
|
||||
|
||||
@ -555,7 +568,7 @@ def get_git_origin_url():
|
||||
"""
|
||||
if is_git_dir():
|
||||
with contextlib.suppress(subprocess.CalledProcessError):
|
||||
origin = subprocess.check_output(['git', 'config', '--get', 'remote.origin.url'])
|
||||
origin = subprocess.check_output(["git", "config", "--get", "remote.origin.url"])
|
||||
return origin.decode().strip()
|
||||
|
||||
|
||||
@ -568,12 +581,13 @@ def get_git_branch():
|
||||
"""
|
||||
if is_git_dir():
|
||||
with contextlib.suppress(subprocess.CalledProcessError):
|
||||
origin = subprocess.check_output(['git', 'rev-parse', '--abbrev-ref', 'HEAD'])
|
||||
origin = subprocess.check_output(["git", "rev-parse", "--abbrev-ref", "HEAD"])
|
||||
return origin.decode().strip()
|
||||
|
||||
|
||||
def get_default_args(func):
|
||||
"""Returns a dictionary of default arguments for a function.
|
||||
"""
|
||||
Returns a dictionary of default arguments for a function.
|
||||
|
||||
Args:
|
||||
func (callable): The function to inspect.
|
||||
@ -594,13 +608,13 @@ def get_ubuntu_version():
|
||||
"""
|
||||
if is_ubuntu():
|
||||
with contextlib.suppress(FileNotFoundError, AttributeError):
|
||||
with open('/etc/os-release') as f:
|
||||
with open("/etc/os-release") as f:
|
||||
return re.search(r'VERSION_ID="(\d+\.\d+)"', f.read())[1]
|
||||
|
||||
|
||||
def get_user_config_dir(sub_dir='Ultralytics'):
|
||||
def get_user_config_dir(sub_dir="yolov10"):
|
||||
"""
|
||||
Get the user config directory.
|
||||
Return the appropriate config directory based on the environment operating system.
|
||||
|
||||
Args:
|
||||
sub_dir (str): The name of the subdirectory to create.
|
||||
@ -608,21 +622,22 @@ def get_user_config_dir(sub_dir='Ultralytics'):
|
||||
Returns:
|
||||
(Path): The path to the user config directory.
|
||||
"""
|
||||
# Return the appropriate config directory for each operating system
|
||||
if WINDOWS:
|
||||
path = Path.home() / 'AppData' / 'Roaming' / sub_dir
|
||||
path = Path.home() / "AppData" / "Roaming" / sub_dir
|
||||
elif MACOS: # macOS
|
||||
path = Path.home() / 'Library' / 'Application Support' / sub_dir
|
||||
path = Path.home() / "Library" / "Application Support" / sub_dir
|
||||
elif LINUX:
|
||||
path = Path.home() / '.config' / sub_dir
|
||||
path = Path.home() / ".config" / sub_dir
|
||||
else:
|
||||
raise ValueError(f'Unsupported operating system: {platform.system()}')
|
||||
raise ValueError(f"Unsupported operating system: {platform.system()}")
|
||||
|
||||
# GCP and AWS lambda fix, only /tmp is writeable
|
||||
if not is_dir_writeable(path.parent):
|
||||
LOGGER.warning(f"WARNING ⚠️ user config directory '{path}' is not writeable, defaulting to '/tmp' or CWD."
|
||||
'Alternatively you can define a YOLO_CONFIG_DIR environment variable for this path.')
|
||||
path = Path('/tmp') / sub_dir if is_dir_writeable('/tmp') else Path().cwd() / sub_dir
|
||||
LOGGER.warning(
|
||||
f"WARNING ⚠️ user config directory '{path}' is not writeable, defaulting to '/tmp' or CWD."
|
||||
"Alternatively you can define a YOLO_CONFIG_DIR environment variable for this path."
|
||||
)
|
||||
path = Path("/tmp") / sub_dir if is_dir_writeable("/tmp") else Path().cwd() / sub_dir
|
||||
|
||||
# Create the subdirectory if it does not exist
|
||||
path.mkdir(parents=True, exist_ok=True)
|
||||
@ -630,40 +645,99 @@ def get_user_config_dir(sub_dir='Ultralytics'):
|
||||
return path
|
||||
|
||||
|
||||
USER_CONFIG_DIR = Path(os.getenv('YOLO_CONFIG_DIR') or get_user_config_dir()) # Ultralytics settings dir
|
||||
SETTINGS_YAML = USER_CONFIG_DIR / 'settings.yaml'
|
||||
USER_CONFIG_DIR = Path(os.getenv("YOLO_CONFIG_DIR") or get_user_config_dir()) # Ultralytics settings dir
|
||||
SETTINGS_YAML = USER_CONFIG_DIR / "settings.yaml"
|
||||
|
||||
|
||||
def colorstr(*input):
|
||||
"""Colors a string https://en.wikipedia.org/wiki/ANSI_escape_code, i.e. colorstr('blue', 'hello world')."""
|
||||
*args, string = input if len(input) > 1 else ('blue', 'bold', input[0]) # color arguments, string
|
||||
"""
|
||||
Colors a string based on the provided color and style arguments. Utilizes ANSI escape codes.
|
||||
See https://en.wikipedia.org/wiki/ANSI_escape_code for more details.
|
||||
|
||||
This function can be called in two ways:
|
||||
- colorstr('color', 'style', 'your string')
|
||||
- colorstr('your string')
|
||||
|
||||
In the second form, 'blue' and 'bold' will be applied by default.
|
||||
|
||||
Args:
|
||||
*input (str): A sequence of strings where the first n-1 strings are color and style arguments,
|
||||
and the last string is the one to be colored.
|
||||
|
||||
Supported Colors and Styles:
|
||||
Basic Colors: 'black', 'red', 'green', 'yellow', 'blue', 'magenta', 'cyan', 'white'
|
||||
Bright Colors: 'bright_black', 'bright_red', 'bright_green', 'bright_yellow',
|
||||
'bright_blue', 'bright_magenta', 'bright_cyan', 'bright_white'
|
||||
Misc: 'end', 'bold', 'underline'
|
||||
|
||||
Returns:
|
||||
(str): The input string wrapped with ANSI escape codes for the specified color and style.
|
||||
|
||||
Examples:
|
||||
>>> colorstr('blue', 'bold', 'hello world')
|
||||
>>> '\033[34m\033[1mhello world\033[0m'
|
||||
"""
|
||||
*args, string = input if len(input) > 1 else ("blue", "bold", input[0]) # color arguments, string
|
||||
colors = {
|
||||
'black': '\033[30m', # basic colors
|
||||
'red': '\033[31m',
|
||||
'green': '\033[32m',
|
||||
'yellow': '\033[33m',
|
||||
'blue': '\033[34m',
|
||||
'magenta': '\033[35m',
|
||||
'cyan': '\033[36m',
|
||||
'white': '\033[37m',
|
||||
'bright_black': '\033[90m', # bright colors
|
||||
'bright_red': '\033[91m',
|
||||
'bright_green': '\033[92m',
|
||||
'bright_yellow': '\033[93m',
|
||||
'bright_blue': '\033[94m',
|
||||
'bright_magenta': '\033[95m',
|
||||
'bright_cyan': '\033[96m',
|
||||
'bright_white': '\033[97m',
|
||||
'end': '\033[0m', # misc
|
||||
'bold': '\033[1m',
|
||||
'underline': '\033[4m'}
|
||||
return ''.join(colors[x] for x in args) + f'{string}' + colors['end']
|
||||
"black": "\033[30m", # basic colors
|
||||
"red": "\033[31m",
|
||||
"green": "\033[32m",
|
||||
"yellow": "\033[33m",
|
||||
"blue": "\033[34m",
|
||||
"magenta": "\033[35m",
|
||||
"cyan": "\033[36m",
|
||||
"white": "\033[37m",
|
||||
"bright_black": "\033[90m", # bright colors
|
||||
"bright_red": "\033[91m",
|
||||
"bright_green": "\033[92m",
|
||||
"bright_yellow": "\033[93m",
|
||||
"bright_blue": "\033[94m",
|
||||
"bright_magenta": "\033[95m",
|
||||
"bright_cyan": "\033[96m",
|
||||
"bright_white": "\033[97m",
|
||||
"end": "\033[0m", # misc
|
||||
"bold": "\033[1m",
|
||||
"underline": "\033[4m",
|
||||
}
|
||||
return "".join(colors[x] for x in args) + f"{string}" + colors["end"]
|
||||
|
||||
|
||||
def remove_colorstr(input_string):
|
||||
"""
|
||||
Removes ANSI escape codes from a string, effectively un-coloring it.
|
||||
|
||||
Args:
|
||||
input_string (str): The string to remove color and style from.
|
||||
|
||||
Returns:
|
||||
(str): A new string with all ANSI escape codes removed.
|
||||
|
||||
Examples:
|
||||
>>> remove_colorstr(colorstr('blue', 'bold', 'hello world'))
|
||||
>>> 'hello world'
|
||||
"""
|
||||
ansi_escape = re.compile(r"\x1B\[[0-9;]*[A-Za-z]")
|
||||
return ansi_escape.sub("", input_string)
|
||||
|
||||
|
||||
class TryExcept(contextlib.ContextDecorator):
|
||||
"""YOLOv8 TryExcept class. Usage: @TryExcept() decorator or 'with TryExcept():' context manager."""
|
||||
"""
|
||||
Ultralytics TryExcept class. Use as @TryExcept() decorator or 'with TryExcept():' context manager.
|
||||
|
||||
def __init__(self, msg='', verbose=True):
|
||||
Examples:
|
||||
As a decorator:
|
||||
>>> @TryExcept(msg="Error occurred in func", verbose=True)
|
||||
>>> def func():
|
||||
>>> # Function logic here
|
||||
>>> pass
|
||||
|
||||
As a context manager:
|
||||
>>> with TryExcept(msg="Error occurred in block", verbose=True):
|
||||
>>> # Code block here
|
||||
>>> pass
|
||||
"""
|
||||
|
||||
def __init__(self, msg="", verbose=True):
|
||||
"""Initialize TryExcept class with optional message and verbosity settings."""
|
||||
self.msg = msg
|
||||
self.verbose = verbose
|
||||
@ -679,14 +753,80 @@ class TryExcept(contextlib.ContextDecorator):
|
||||
return True
|
||||
|
||||
|
||||
class Retry(contextlib.ContextDecorator):
|
||||
"""
|
||||
Retry class for function execution with exponential backoff.
|
||||
|
||||
Can be used as a decorator or a context manager to retry a function or block of code on exceptions, up to a
|
||||
specified number of times with an exponentially increasing delay between retries.
|
||||
|
||||
Examples:
|
||||
Example usage as a decorator:
|
||||
>>> @Retry(times=3, delay=2)
|
||||
>>> def test_func():
|
||||
>>> # Replace with function logic that may raise exceptions
|
||||
>>> return True
|
||||
|
||||
Example usage as a context manager:
|
||||
>>> with Retry(times=3, delay=2):
|
||||
>>> # Replace with code block that may raise exceptions
|
||||
>>> pass
|
||||
"""
|
||||
|
||||
def __init__(self, times=3, delay=2):
|
||||
"""Initialize Retry class with specified number of retries and delay."""
|
||||
self.times = times
|
||||
self.delay = delay
|
||||
self._attempts = 0
|
||||
|
||||
def __call__(self, func):
|
||||
"""Decorator implementation for Retry with exponential backoff."""
|
||||
|
||||
def wrapped_func(*args, **kwargs):
|
||||
"""Applies retries to the decorated function or method."""
|
||||
self._attempts = 0
|
||||
while self._attempts < self.times:
|
||||
try:
|
||||
return func(*args, **kwargs)
|
||||
except Exception as e:
|
||||
self._attempts += 1
|
||||
print(f"Retry {self._attempts}/{self.times} failed: {e}")
|
||||
if self._attempts >= self.times:
|
||||
raise e
|
||||
time.sleep(self.delay * (2**self._attempts)) # exponential backoff delay
|
||||
|
||||
return wrapped_func
|
||||
|
||||
def __enter__(self):
|
||||
"""Enter the runtime context related to this object."""
|
||||
self._attempts = 0
|
||||
|
||||
def __exit__(self, exc_type, exc_value, traceback):
|
||||
"""Exit the runtime context related to this object with exponential backoff."""
|
||||
if exc_type is not None:
|
||||
self._attempts += 1
|
||||
if self._attempts < self.times:
|
||||
print(f"Retry {self._attempts}/{self.times} failed: {exc_value}")
|
||||
time.sleep(self.delay * (2**self._attempts)) # exponential backoff delay
|
||||
return True # Suppresses the exception and retries
|
||||
return False # Re-raises the exception if retries are exhausted
|
||||
|
||||
|
||||
def threaded(func):
|
||||
"""Multi-threads a target function and returns thread. Usage: @threaded decorator."""
|
||||
"""
|
||||
Multi-threads a target function by default and returns the thread or function result.
|
||||
|
||||
Use as @threaded decorator. The function runs in a separate thread unless 'threaded=False' is passed.
|
||||
"""
|
||||
|
||||
def wrapper(*args, **kwargs):
|
||||
"""Multi-threads a given function and returns the thread."""
|
||||
thread = threading.Thread(target=func, args=args, kwargs=kwargs, daemon=True)
|
||||
thread.start()
|
||||
return thread
|
||||
"""Multi-threads a given function based on 'threaded' kwarg and returns the thread or function result."""
|
||||
if kwargs.pop("threaded", True): # run in thread
|
||||
thread = threading.Thread(target=func, args=args, kwargs=kwargs, daemon=True)
|
||||
thread.start()
|
||||
return thread
|
||||
else:
|
||||
return func(*args, **kwargs)
|
||||
|
||||
return wrapper
|
||||
|
||||
@ -723,27 +863,28 @@ def set_sentry():
|
||||
Returns:
|
||||
dict: The modified event or None if the event should not be sent to Sentry.
|
||||
"""
|
||||
if 'exc_info' in hint:
|
||||
exc_type, exc_value, tb = hint['exc_info']
|
||||
if exc_type in (KeyboardInterrupt, FileNotFoundError) \
|
||||
or 'out of memory' in str(exc_value):
|
||||
if "exc_info" in hint:
|
||||
exc_type, exc_value, tb = hint["exc_info"]
|
||||
if exc_type in (KeyboardInterrupt, FileNotFoundError) or "out of memory" in str(exc_value):
|
||||
return None # do not send event
|
||||
|
||||
event['tags'] = {
|
||||
'sys_argv': sys.argv[0],
|
||||
'sys_argv_name': Path(sys.argv[0]).name,
|
||||
'install': 'git' if is_git_dir() else 'pip' if is_pip_package() else 'other',
|
||||
'os': ENVIRONMENT}
|
||||
event["tags"] = {
|
||||
"sys_argv": sys.argv[0],
|
||||
"sys_argv_name": Path(sys.argv[0]).name,
|
||||
"install": "git" if is_git_dir() else "pip" if is_pip_package() else "other",
|
||||
"os": ENVIRONMENT,
|
||||
}
|
||||
return event
|
||||
|
||||
if SETTINGS['sync'] and \
|
||||
RANK in (-1, 0) and \
|
||||
Path(sys.argv[0]).name == 'yolo' and \
|
||||
not TESTS_RUNNING and \
|
||||
ONLINE and \
|
||||
is_pip_package() and \
|
||||
not is_git_dir():
|
||||
|
||||
if (
|
||||
SETTINGS["sync"]
|
||||
and RANK in (-1, 0)
|
||||
and Path(sys.argv[0]).name == "yolo"
|
||||
and not TESTS_RUNNING
|
||||
and ONLINE
|
||||
and is_pip_package()
|
||||
and not is_git_dir()
|
||||
):
|
||||
# If sentry_sdk package is not installed then return and do not use Sentry
|
||||
try:
|
||||
import sentry_sdk # noqa
|
||||
@ -751,18 +892,15 @@ def set_sentry():
|
||||
return
|
||||
|
||||
sentry_sdk.init(
|
||||
dsn='https://5ff1556b71594bfea135ff0203a0d290@o4504521589325824.ingest.sentry.io/4504521592406016',
|
||||
dsn="https://5ff1556b71594bfea135ff0203a0d290@o4504521589325824.ingest.sentry.io/4504521592406016",
|
||||
debug=False,
|
||||
traces_sample_rate=1.0,
|
||||
release=__version__,
|
||||
environment='production', # 'dev' or 'production'
|
||||
environment="production", # 'dev' or 'production'
|
||||
before_send=before_send,
|
||||
ignore_errors=[KeyboardInterrupt, FileNotFoundError])
|
||||
sentry_sdk.set_user({'id': SETTINGS['uuid']}) # SHA-256 anonymized UUID hash
|
||||
|
||||
# Disable all sentry logging
|
||||
for logger in 'sentry_sdk', 'sentry_sdk.errors':
|
||||
logging.getLogger(logger).setLevel(logging.CRITICAL)
|
||||
ignore_errors=[KeyboardInterrupt, FileNotFoundError],
|
||||
)
|
||||
sentry_sdk.set_user({"id": SETTINGS["uuid"]}) # SHA-256 anonymized UUID hash
|
||||
|
||||
|
||||
class SettingsManager(dict):
|
||||
@ -774,7 +912,10 @@ class SettingsManager(dict):
|
||||
version (str): Settings version. In case of local version mismatch, new default settings will be saved.
|
||||
"""
|
||||
|
||||
def __init__(self, file=SETTINGS_YAML, version='0.0.4'):
|
||||
def __init__(self, file=SETTINGS_YAML, version="0.0.4"):
|
||||
"""Initialize the SettingsManager with default settings, load and validate current settings from the YAML
|
||||
file.
|
||||
"""
|
||||
import copy
|
||||
import hashlib
|
||||
|
||||
@ -788,22 +929,24 @@ class SettingsManager(dict):
|
||||
self.file = Path(file)
|
||||
self.version = version
|
||||
self.defaults = {
|
||||
'settings_version': version,
|
||||
'datasets_dir': str(datasets_root / 'datasets'),
|
||||
'weights_dir': str(root / 'weights'),
|
||||
'runs_dir': str(root / 'runs'),
|
||||
'uuid': hashlib.sha256(str(uuid.getnode()).encode()).hexdigest(),
|
||||
'sync': True,
|
||||
'api_key': '',
|
||||
'clearml': True, # integrations
|
||||
'comet': True,
|
||||
'dvc': True,
|
||||
'hub': True,
|
||||
'mlflow': True,
|
||||
'neptune': True,
|
||||
'raytune': True,
|
||||
'tensorboard': True,
|
||||
'wandb': True}
|
||||
"settings_version": version,
|
||||
"datasets_dir": str(datasets_root / "datasets"),
|
||||
"weights_dir": str(root / "weights"),
|
||||
"runs_dir": str(root / "runs"),
|
||||
"uuid": hashlib.sha256(str(uuid.getnode()).encode()).hexdigest(),
|
||||
"sync": True,
|
||||
"api_key": "",
|
||||
"openai_api_key": "",
|
||||
"clearml": True, # integrations
|
||||
"comet": True,
|
||||
"dvc": True,
|
||||
"hub": True,
|
||||
"mlflow": True,
|
||||
"neptune": True,
|
||||
"raytune": True,
|
||||
"tensorboard": True,
|
||||
"wandb": True,
|
||||
}
|
||||
|
||||
super().__init__(copy.deepcopy(self.defaults))
|
||||
|
||||
@ -814,15 +957,26 @@ class SettingsManager(dict):
|
||||
self.load()
|
||||
correct_keys = self.keys() == self.defaults.keys()
|
||||
correct_types = all(type(a) is type(b) for a, b in zip(self.values(), self.defaults.values()))
|
||||
correct_version = check_version(self['settings_version'], self.version)
|
||||
correct_version = check_version(self["settings_version"], self.version)
|
||||
help_msg = (
|
||||
f"\nView settings with 'yolo settings' or at '{self.file}'"
|
||||
"\nUpdate settings with 'yolo settings key=value', i.e. 'yolo settings runs_dir=path/to/dir'. "
|
||||
"For help see https://docs.ultralytics.com/quickstart/#ultralytics-settings."
|
||||
)
|
||||
if not (correct_keys and correct_types and correct_version):
|
||||
LOGGER.warning(
|
||||
'WARNING ⚠️ Ultralytics settings reset to default values. This may be due to a possible problem '
|
||||
'with your settings or a recent ultralytics package update. '
|
||||
f"\nView settings with 'yolo settings' or at '{self.file}'"
|
||||
"\nUpdate settings with 'yolo settings key=value', i.e. 'yolo settings runs_dir=path/to/dir'.")
|
||||
"WARNING ⚠️ Ultralytics settings reset to default values. This may be due to a possible problem "
|
||||
f"with your settings or a recent ultralytics package update. {help_msg}"
|
||||
)
|
||||
self.reset()
|
||||
|
||||
if self.get("datasets_dir") == self.get("runs_dir"):
|
||||
LOGGER.warning(
|
||||
f"WARNING ⚠️ Ultralytics setting 'datasets_dir: {self.get('datasets_dir')}' "
|
||||
f"must be different than 'runs_dir: {self.get('runs_dir')}'. "
|
||||
f"Please change one to avoid possible issues during training. {help_msg}"
|
||||
)
|
||||
|
||||
def load(self):
|
||||
"""Loads settings from the YAML file."""
|
||||
super().update(yaml_load(self.file))
|
||||
@ -847,14 +1001,16 @@ def deprecation_warn(arg, new_arg, version=None):
|
||||
"""Issue a deprecation warning when a deprecated argument is used, suggesting an updated argument."""
|
||||
if not version:
|
||||
version = float(__version__[:3]) + 0.2 # deprecate after 2nd major release
|
||||
LOGGER.warning(f"WARNING ⚠️ '{arg}' is deprecated and will be removed in 'ultralytics {version}' in the future. "
|
||||
f"Please use '{new_arg}' instead.")
|
||||
LOGGER.warning(
|
||||
f"WARNING ⚠️ '{arg}' is deprecated and will be removed in 'ultralytics {version}' in the future. "
|
||||
f"Please use '{new_arg}' instead."
|
||||
)
|
||||
|
||||
|
||||
def clean_url(url):
|
||||
"""Strip auth from URL, i.e. https://url.com/file.txt?auth -> https://url.com/file.txt."""
|
||||
url = Path(url).as_posix().replace(':/', '://') # Pathlib turns :// -> :/, as_posix() for Windows
|
||||
return urllib.parse.unquote(url).split('?')[0] # '%2F' to '/', split https://url.com/file.txt?auth
|
||||
url = Path(url).as_posix().replace(":/", "://") # Pathlib turns :// -> :/, as_posix() for Windows
|
||||
return urllib.parse.unquote(url).split("?")[0] # '%2F' to '/', split https://url.com/file.txt?auth
|
||||
|
||||
|
||||
def url2file(url):
|
||||
@ -865,12 +1021,23 @@ def url2file(url):
|
||||
# Run below code on utils init ------------------------------------------------------------------------------------
|
||||
|
||||
# Check first-install steps
|
||||
PREFIX = colorstr('Ultralytics: ')
|
||||
PREFIX = colorstr("Ultralytics: ")
|
||||
SETTINGS = SettingsManager() # initialize settings
|
||||
DATASETS_DIR = Path(SETTINGS['datasets_dir']) # global datasets directory
|
||||
ENVIRONMENT = 'Colab' if is_colab() else 'Kaggle' if is_kaggle() else 'Jupyter' if is_jupyter() else \
|
||||
'Docker' if is_docker() else platform.system()
|
||||
TESTS_RUNNING = is_pytest_running() or is_github_actions_ci()
|
||||
DATASETS_DIR = Path(SETTINGS["datasets_dir"]) # global datasets directory
|
||||
WEIGHTS_DIR = Path(SETTINGS["weights_dir"]) # global weights directory
|
||||
RUNS_DIR = Path(SETTINGS["runs_dir"]) # global runs directory
|
||||
ENVIRONMENT = (
|
||||
"Colab"
|
||||
if is_colab()
|
||||
else "Kaggle"
|
||||
if is_kaggle()
|
||||
else "Jupyter"
|
||||
if is_jupyter()
|
||||
else "Docker"
|
||||
if is_docker()
|
||||
else platform.system()
|
||||
)
|
||||
TESTS_RUNNING = is_pytest_running() or is_github_action_running()
|
||||
set_sentry()
|
||||
|
||||
# Apply monkey patches
|
||||
|
Reference in New Issue
Block a user