ultralytics/.gitignore
Glenn Jocher e3a987c2a7
ultralytics 8.3.243 Deduplicate ConsoleLogger progress bars (#23082)
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
2025-12-30 03:34:03 +01:00

205 lines
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
pip-wheel-metadata/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
requirements.txt
!examples/**/requirements.txt
setup.py
ultralytics.egg-info
# PyInstaller
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# before PyInstaller builds the exe, so as to inject date/other info into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
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htmlcov/
.tox/
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.coverage
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.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
mlruns/
# Translations
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# Django stuff:
*.log
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db.sqlite3
db.sqlite3-journal
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instance/
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docs/_build/
# PyBuilder
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# Jupyter Notebook
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# IPython
profile_default/
ipython_config.py
# Profiling
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# pyenv
.python-version
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
uv.lock
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/
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celerybeat.pid
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*.sage.py
# Environments
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venv/
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# mkdocs documentation
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dmypy.json
# Pyre type checker
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# datasets and projects (ignore /datasets dir at root only to allow for docs/en/datasets dir)
/datasets
runs/
wandb/
.DS_Store
# Neural Network weights -----------------------------------------------------------------------------------------------
weights/
*.weights
*.pt
*.ts
*.pb
*.onnx
*.engine
*.mlmodel
*.mlpackage
*.torchscript
*.tflite
*.h5
*.mnn
*_saved_model/
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*_openvino_model/
*_paddle_model/
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pnnx*
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/ultralytics/assets/
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calibration_*.npy
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# Training logs
args.yaml
results.csv