Override fixes and general updates (#129)
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Kalen Michael <kalenmike@gmail.com>
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10 changed files with 64 additions and 50 deletions
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@ -6,6 +6,7 @@ import platform
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import sys
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import tempfile
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import threading
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import uuid
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from pathlib import Path
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import cv2
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@ -160,7 +161,7 @@ def get_user_config_dir(sub_dir='Ultralytics'):
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raise ValueError(f'Unsupported operating system: {os_name}')
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# GCP and AWS lambda fix, only /tmp is writeable
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if not is_dir_writeable(path.parent):
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if not is_dir_writeable(str(path.parent)):
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path = Path('/tmp') / sub_dir
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# Create the subdirectory if it does not exist
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@ -172,9 +173,9 @@ def get_user_config_dir(sub_dir='Ultralytics'):
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USER_CONFIG_DIR = get_user_config_dir() # Ultralytics settings dir
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def emojis(str=''):
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def emojis(string=''):
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# Return platform-dependent emoji-safe version of string
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return str.encode().decode('ascii', 'ignore') if platform.system() == 'Windows' else str
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return string.encode().decode('ascii', 'ignore') if platform.system() == 'Windows' else string
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def colorstr(*input):
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@ -282,27 +283,39 @@ def yaml_load(file='data.yaml'):
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"""
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with open(file, errors='ignore') as f:
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# Add YAML filename to dict and return
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return {**yaml.safe_load(f), 'yaml_file': file}
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return {**yaml.safe_load(f), 'yaml_file': str(file)}
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def get_settings(file=USER_CONFIG_DIR / 'settings.yaml'):
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"""
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Function that loads a global settings YAML, or creates it and populates it with default values if it does not exist.
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Loads a global settings YAML file or creates one with default values if it does not exist.
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If the datasets or weights directories are set to None, the current working directory will be used.
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The 'sync' setting determines whether analytics will be synced to help with YOLO development.
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Args:
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file (Path): Path to the settings YAML file. Defaults to 'settings.yaml' in the USER_CONFIG_DIR.
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Returns:
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dict: Dictionary of settings key-value pairs.
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"""
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from ultralytics.yolo.utils.torch_utils import torch_distributed_zero_first
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defaults = {
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'datasets_dir': None, # default datasets directory. If None, current working directory is used.
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'weights_dir': None, # default weights directory. If None, current working directory is used.
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'runs_dir': None, # default runs directory. If None, current working directory is used.
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'sync': True, # sync analytics to help with YOLO development
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'uuid': uuid.getnode(), # device UUID to align analytics
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'yaml_file': str(file)} # setting YAML file path
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with torch_distributed_zero_first(RANK):
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if not file.exists():
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settings = {
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'datasets_dir': None, # default datasets directory. If None, current working directory is used.
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'weights_dir': None, # default weights directory. If None, current working directory is used.
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'sync': True} # sync analytics to help with YOLO development
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yaml_save(file, settings)
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yaml_save(file, defaults)
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return yaml_load(file)
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settings = yaml_load(file)
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if settings.keys() != defaults.keys():
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settings = {**defaults, **settings} # merge **defaults with **settings (prefer **settings)
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yaml_save(file, settings) # save updated defaults
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return settings
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# Run below code on utils init -----------------------------------------------------------------------------------------
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