[project] name = "immich-ml" version = "3.3.0rc0" description = "" authors = [{ name = "Hau Tran", email = "alex.tran1502@gmail.com" }] requires-python = ">=3.12,<4.0" readme = "README.md" dependencies = [ "fastapi>=0.95.2,<1.0", "gunicorn>=21.1.0", "huggingface-hub>=1.0,<2.0", "immich-model", "numpy>=2.4.0,<3.0", "onnx>=1.22.0", "opencv-python-headless>=4.7.0.72,<5.0", "orjson>=3.9.5", "pillow>=12.2,<13", "pydantic>=2.0.0,<3", "pydantic-settings>=2.5.2,<3", "python-multipart>=0.0.6,<1.0", "rich>=13.4.2", "tokenizers>=0.15.0,<1.0", "uvicorn[standard]>=0.22.0,<1.0", "rapidocr>=3.1.0", ] [dependency-groups] test = [ "httpx>=0.24.1", "pytest>=7.3.1", "pytest-asyncio>=0.21.0", "pytest-cov>=4.1.0", "pytest-mock>=3.11.1", ] types = [ "types-pyyaml>=6.0.12.20241230", "types-requests>=2.32.0.20250306", "types-setuptools>=75.8.2.20250305", "types-simplejson>=3.20.0.20250218", "types-ujson>=5.10.0.20240515", ] lint = [ "mypy>=1.3.0", "ruff>=0.0.272", { include-group = "types" }, ] dev = ["locust>=2.15.1", { include-group = "test" }, { include-group = "lint" }] # the image replaces onnxruntime-openvino with one built against and bundling this openvino onnxruntime-openvino-build = ["openvino>=2026.4.1,<2027", "setuptools", "wheel"] # the CUDA libraries the cuda image has in its nvidia/cuda base, for running outside it cuda-libs = [ "nvidia-cuda-runtime-cu12==12.2.140 ; sys_platform == 'linux' and platform_machine == 'x86_64'", "nvidia-cuda-nvrtc-cu12==12.2.140 ; sys_platform == 'linux' and platform_machine == 'x86_64'", "nvidia-cublas-cu12==12.2.5.6 ; sys_platform == 'linux' and platform_machine == 'x86_64'", "nvidia-cufft-cu12==11.0.8.103 ; sys_platform == 'linux' and platform_machine == 'x86_64'", "nvidia-curand-cu12==10.3.3.141 ; sys_platform == 'linux' and platform_machine == 'x86_64'", "nvidia-cudnn-cu12==9.10.2.21 ; sys_platform == 'linux' and platform_machine == 'x86_64'", ] [project.optional-dependencies] cpu = ["onnxruntime>=1.23.2,<2"] cuda = [ "onnxruntime-gpu>=1.27.1,<1.28", # TODO: last ORT release supporting CUDA 12.2, also need to handle CUDA 13 "onnxruntime-ep-nv-tensorrt-rtx-cu12>=0.4.0,<0.5 ; platform_machine == 'x86_64'", ] openvino = ["onnxruntime-openvino>=1.24.1,<2"] armnn = ["onnxruntime>=1.23.2,<2"] rknn = ["onnxruntime>=1.23.2,<2", "rknn-toolkit-lite2>=2.3.0,<3"] rocm = ["onnxruntime-migraphx>=1.23.2,<2"] [tool.uv] compile-bytecode = true override-dependencies = ["opencv-python ; sys_platform == 'never'"] # only install the headless version [tool.uv.sources] immich-model = { git = "https://github.com/immich-app/ml-models.git", rev = "20a8ec79a1e6414d311f0e28b6e6082968a31ad7" } onnxruntime-gpu = { index = "onnxruntime-cuda-12" } [[tool.uv.index]] name = "onnxruntime-cuda-12" url = "https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/" explicit = true [tool.hatch.build.targets.sdist] include = ["immich_ml"] [tool.hatch.build.targets.wheel] include = ["immich_ml"] [build-system] requires = ["hatchling"] build-backend = "hatchling.build" [tool.mypy] python_version = "3.12" plugins = "pydantic.mypy" follow_imports = "silent" warn_redundant_casts = true disallow_any_generics = true check_untyped_defs = true disallow_untyped_defs = true ignore_missing_imports = true [tool.pydantic-mypy] init_forbid_extra = true init_typed = true warn_required_dynamic_aliases = true warn_untyped_fields = true [tool.ruff] line-length = 120 target-version = "py312" [tool.ruff.lint] select = ["E", "F", "I"] per-file-ignores = { "test_main.py" = ["F403"] } [tool.pytest.ini_options] markers = ["providers", "ov_device_ids"]