# Ultralytics YOLO 🚀, AGPL-3.0 license # Overview: # This pyproject.toml file manages the build, packaging, and distribution of the Ultralytics library. # It defines essential project metadata, dependencies, and settings used to develop and deploy the library. # Key Sections: # - [build-system]: Specifies the build requirements and backend (e.g., setuptools, wheel). # - [project]: Includes details like name, version, description, authors, dependencies and more. # - [project.optional-dependencies]: Provides additional, optional packages for extended features. # - [tool.*]: Configures settings for various tools (pytest, yapf, etc.) used in the project. # Installation: # The Ultralytics library can be installed using the command: 'pip install ultralytics' # For development purposes, you can install the package in editable mode with: 'pip install -e .' # This approach allows for real-time code modifications without the need for re-installation. # Documentation: # For comprehensive documentation and usage instructions, visit: https://docs.ultralytics.com [build-system] requires = ["setuptools>=70.0.0", "wheel"] build-backend = "setuptools.build_meta" # Project settings ----------------------------------------------------------------------------------------------------- [project] name = "ultralytics" dynamic = ["version"] description = "Ultralytics YOLO 🚀 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification." readme = "README.md" requires-python = ">=3.8" license = { "text" = "AGPL-3.0" } keywords = ["machine-learning", "deep-learning", "computer-vision", "ML", "DL", "AI", "YOLO", "YOLOv3", "YOLOv5", "YOLOv8", "YOLOv9", "YOLOv10", "YOLO11", "HUB", "Ultralytics"] authors = [ { name = "Glenn Jocher", email = "glenn.jocher@ultralytics.com" }, { name = "Jing Qiu", email = "jing.qiu@ultralytics.com" }, ] maintainers = [ { name = "Ultralytics", email = "hello@ultralytics.com" }, ] classifiers = [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "Intended Audience :: Education", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Topic :: Software Development", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Artificial Intelligence", "Topic :: Scientific/Engineering :: Image Recognition", "Operating System :: POSIX :: Linux", "Operating System :: MacOS", "Operating System :: Microsoft :: Windows", ] # Required dependencies ------------------------------------------------------------------------------------------------ dependencies = [ "numpy>=1.23.0", # temporary patch for compat errors https://github.com/ultralytics/yolov5/actions/runs/9538130424/job/26286956354 "matplotlib>=3.3.0", "opencv-python>=4.6.0", "pillow>=7.1.2", "pyyaml>=5.3.1", "requests>=2.23.0", "scipy>=1.4.1", "torch>=1.8.0", "torch>=1.8.0,!=2.4.0; sys_platform == 'win32'", # Windows CPU errors w/ 2.4.0 https://github.com/ultralytics/ultralytics/issues/15049 "torchvision>=0.9.0", "tqdm>=4.64.0", # progress bars "psutil", # system utilization "py-cpuinfo", # display CPU info "pandas>=1.1.4", "seaborn>=0.11.0", # plotting "ultralytics-thop>=2.0.0", # FLOPs computation https://github.com/ultralytics/thop ] # Optional dependencies ------------------------------------------------------------------------------------------------ [project.optional-dependencies] dev = [ "ipython", "pytest", "pytest-cov", "coverage[toml]", "mkdocs>=1.6.0", "mkdocs-material>=9.5.9", "mkdocstrings[python]", "mkdocs-jupyter", # notebooks "mkdocs-redirects", # 301 redirects "mkdocs-ultralytics-plugin>=0.1.8", # for meta descriptions and images, dates and authors "mkdocs-macros-plugin>=1.0.5" # duplicating content (i.e. export tables) in multiple places ] export = [ "onnx>=1.12.0", # ONNX export "coremltools>=7.0; platform_system != 'Windows' and python_version <= '3.11'", # CoreML supported on macOS and Linux "scikit-learn>=1.3.2; platform_system != 'Windows' and python_version <= '3.11'", # CoreML k-means quantization "openvino>=2024.0.0", # OpenVINO export "tensorflow>=2.0.0", # TF bug https://github.com/ultralytics/ultralytics/issues/5161 "tensorflowjs>=3.9.0", # TF.js export, automatically installs tensorflow "tensorstore>=0.1.63; platform_machine == 'aarch64' and python_version >= '3.9'", # for TF Raspberry Pi exports "keras", # not installed automatically by tensorflow>=2.16 "flatbuffers>=23.5.26,<100; platform_machine == 'aarch64'", # update old 'flatbuffers' included inside tensorflow package "numpy==1.23.5; platform_machine == 'aarch64'", # fix error: `np.bool` was a deprecated alias for the builtin `bool` when using TensorRT models on NVIDIA Jetson "h5py!=3.11.0; platform_machine == 'aarch64'", # fix h5py build issues due to missing aarch64 wheels in 3.11 release ] solutions = [ "shapely>=2.0.0", # shapely for point and polygon data matching "streamlit", # for live inference on web browser i.e `yolo streamlit-predict` ] logging = [ "comet", # https://docs.ultralytics.com/integrations/comet/ "tensorboard>=2.13.0", "dvclive>=2.12.0", ] extra = [ "hub-sdk>=0.0.12", # Ultralytics HUB "ipython", # interactive notebook "albumentations>=1.4.6", # training augmentations "pycocotools>=2.0.7", # COCO mAP ] [project.urls] "Homepage" = "https://ultralytics.com" "Source" = "https://github.com/ultralytics/ultralytics" "Documentation" = "https://docs.ultralytics.com" "Bug Reports" = "https://github.com/ultralytics/ultralytics/issues" "Changelog" = "https://github.com/ultralytics/ultralytics/releases" [project.scripts] yolo = "ultralytics.cfg:entrypoint" ultralytics = "ultralytics.cfg:entrypoint" # Tools settings ------------------------------------------------------------------------------------------------------- [tool.setuptools] # configuration specific to the `setuptools` build backend. packages = { find = { where = ["."], include = ["ultralytics", "ultralytics.*"] } } package-data = { "ultralytics" = ["**/*.yaml", "../tests/*.py"], "ultralytics.assets" = ["*.jpg"] } [tool.setuptools.dynamic] version = { attr = "ultralytics.__version__" } [tool.pytest.ini_options] addopts = "--doctest-modules --durations=30 --color=yes" markers = [ "slow: skip slow tests unless --slow is set", ] norecursedirs = [".git", "dist", "build"] [tool.coverage.run] source = ["ultralytics/"] data_file = "tests/.coverage" omit = ["ultralytics/utils/callbacks/*"] [tool.isort] line_length = 120 multi_line_output = 0 [tool.yapf] based_on_style = "pep8" spaces_before_comment = 2 column_limit = 120 coalesce_brackets = true spaces_around_power_operator = true space_between_ending_comma_and_closing_bracket = true split_before_closing_bracket = false split_before_first_argument = false [tool.ruff] line-length = 120 [tool.ruff.format] docstring-code-format = true [tool.docformatter] wrap-summaries = 120 wrap-descriptions = 120 pre-summary-newline = true close-quotes-on-newline = true in-place = true [tool.codespell] ignore-words-list = "crate,nd,ned,strack,dota,ane,segway,fo,gool,winn,commend,bloc,nam,afterall" skip = '*.pt,*.pth,*.torchscript,*.onnx,*.tflite,*.pb,*.bin,*.param,*.mlmodel,*.engine,*.npy,*.data*,*.csv,*pnnx*,*venv*,*translat*,__pycache__*,*.ico,*.jpg,*.png,*.mp4,*.mov,/runs,/.git,./docs/??/*.md,./docs/mkdocs_??.yml'