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# Ultralytics YOLO 🚀, AGPL-3.0 license
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#
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# Overview:
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# This pyproject.toml file manages the build, packaging, and distribution of the Ultralytics library.
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# It defines essential project metadata, dependencies, and settings used to develop and deploy the library.
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# Key Sections:
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# - [build-system]: Specifies the build requirements and backend (e.g., setuptools, wheel).
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# - [project]: Includes details like name, version, description, authors, dependencies and more.
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# - [project.optional-dependencies]: Provides additional, optional packages for extended features.
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# - [tool.*]: Configures settings for various tools (pytest, yapf, etc.) used in the project.
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# Installation:
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# The Ultralytics library can be installed using the command: 'pip install ultralytics'
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# For development purposes, you can install the package in editable mode with: 'pip install -e .'
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# This approach allows for real-time code modifications without the need for re-installation.
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# Documentation:
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# For comprehensive documentation and usage instructions, visit: https://docs.ultralytics.com
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[build-system]
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requires = ["setuptools>=43.0.0", "wheel"]
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build-backend = "setuptools.build_meta"
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# Project settings -----------------------------------------------------------------------------------------------------
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[project]
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name = "ultralytics"
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dynamic = ["version"]
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description = "Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification."
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readme = "README.md"
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requires-python = ">=3.8"
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license = { "text" = "AGPL-3.0" }
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keywords = ["machine-learning", "deep-learning", "computer-vision", "ML", "DL", "AI", "YOLO", "YOLOv3", "YOLOv5", "YOLOv8", "HUB", "Ultralytics"]
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authors = [
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{ name = "Glenn Jocher" },
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{ name = "Ayush Chaurasia" },
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{ name = "Jing Qiu" }
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]
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maintainers = [
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{ name = "Glenn Jocher" },
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{ name = "Ayush Chaurasia" },
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{ name = "Jing Qiu" }
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]
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classifiers = [
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"Development Status :: 4 - Beta",
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"Intended Audience :: Developers",
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"Intended Audience :: Education",
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"Intended Audience :: Science/Research",
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"License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Topic :: Software Development",
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"Topic :: Scientific/Engineering",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"Topic :: Scientific/Engineering :: Image Recognition",
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"Operating System :: POSIX :: Linux",
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"Operating System :: MacOS",
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"Operating System :: Microsoft :: Windows",
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]
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# Required dependencies ------------------------------------------------------------------------------------------------
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dependencies = [
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"matplotlib>=3.3.0",
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"numpy>=1.22.2",
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"opencv-python>=4.6.0",
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"pillow>=7.1.2",
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"pyyaml>=5.3.1",
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"requests>=2.23.0",
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"scipy>=1.4.1",
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"torch>=1.8.0",
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"torchvision>=0.9.0",
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"tqdm>=4.64.0", # progress bars
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"psutil", # system utilization
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"py-cpuinfo", # display CPU info
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"thop>=0.1.1", # FLOPs computation
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"pandas>=1.1.4",
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"seaborn>=0.11.0", # plotting
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]
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# Optional dependencies ------------------------------------------------------------------------------------------------
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[project.optional-dependencies]
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dev = [
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"ipython",
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"check-manifest",
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"pre-commit",
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"pytest",
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"pytest-cov",
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"coverage[toml]",
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"mkdocs-material",
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"mkdocstrings[python]",
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"mkdocs-redirects", # for 301 redirects
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"mkdocs-ultralytics-plugin>=0.0.34", # for meta descriptions and images, dates and authors
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]
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export = [
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"onnx>=1.12.0", # ONNX export
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"coremltools>=7.0", # CoreML export
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"openvino-dev>=2023.0", # OpenVINO export
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"tensorflow<=2.13.1", # TF bug https://github.com/ultralytics/ultralytics/issues/5161
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"jax<=0.4.21", # tensorflowjs bug https://github.com/google/jax/issues/18978
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"jaxlib<=0.4.21", # tensorflowjs bug https://github.com/google/jax/issues/18978
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"tensorflowjs>=3.9.0", # TF.js export, automatically installs tensorflow
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]
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# tensorflow>=2.4.1,<=2.13.1 # TF exports (-cpu, -aarch64, -macos)
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# tflite-support # for TFLite model metadata
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# scikit-learn==0.19.2 # CoreML quantization
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# nvidia-pyindex # TensorRT export
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# nvidia-tensorrt # TensorRT export
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logging = [
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"comet", # https://docs.ultralytics.com/integrations/comet/
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"tensorboard>=2.13.0",
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"dvclive>=2.12.0",
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]
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extra = [
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"ipython", # interactive notebook
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"albumentations>=1.0.3", # training augmentations
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"pycocotools>=2.0.6", # COCO mAP
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]
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[project.urls]
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"Bug Reports" = "https://github.com/ultralytics/ultralytics/issues"
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"Funding" = "https://ultralytics.com"
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"Source" = "https://github.com/ultralytics/ultralytics/"
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[project.scripts]
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yolo = "ultralytics.cfg:entrypoint"
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ultralytics = "ultralytics.cfg:entrypoint"
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# Tools settings -------------------------------------------------------------------------------------------------------
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[tool.setuptools] # configuration specific to the `setuptools` build backend.
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packages = { find = { where = ["."], include = ["ultralytics", "ultralytics.*"] } }
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package-data = { "ultralytics" = ["**/*.yaml"], "ultralytics.assets" = ["*.jpg"] }
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[tool.setuptools.dynamic]
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version = { attr = "ultralytics.__version__" }
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[tool.pytest]
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norecursedirs = [".git", "dist", "build"]
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addopts = "--doctest-modules --durations=30 --color=yes"
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[tool.coverage.run]
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source = ["ultralytics/"]
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data_file = "tests/.coverage"
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omit = ["ultralytics/utils/callbacks/*"]
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[tool.isort]
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line_length = 120
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multi_line_output = 0
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[tool.yapf]
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based_on_style = "pep8"
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spaces_before_comment = 2
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column_limit = 120
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coalesce_brackets = true
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spaces_around_power_operator = true
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space_between_ending_comma_and_closing_bracket = true
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split_before_closing_bracket = false
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split_before_first_argument = false
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[tool.docformatter]
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wrap-summaries = 120
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wrap-descriptions = 120
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in-place = true
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pre-summary-newline = true
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close-quotes-on-newline = true
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[tool.codespell]
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ignore-words-list = "crate,nd,strack,dota,ane,segway,fo,gool,winn"
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skip = '*.csv,*venv*,docs/de,docs/fr,docs/pt,docs/es,docs/mkdocs_de.yml'
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