UrbanClipAtlas/pyproject.toml at main · visual-ds/UrbanClipAtlas · GitHub

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[project]
name = "urbanclipatlas"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.11,<3.13"

dependencies = [
	"pillow>=10.0.0",
	"moviepy>=1.0.3",
	"ffmpeg-python>=0.2.0",
	"opencv-python>=4.10.0",
	"sentence-transformers>=3.0.0",
	"qdrant-client>=1.7.0",
	"langchain>=1.0.0",
	"langchain-openai>=0.3",
	"networkx>=3.0",
	"requests>=2.31.0",
	"numpy>=2.1.0,<3.0.0",
	"pandas>=2.0.0",
	"openai>=1.0.0",
	"pydantic>=2.0.0",
	"tqdm>=4.65.0",
	"colorama>=0.4.6",
	"pyarrow>=14.0.0,<20.0.0",
	"torch>=2.7.1",
	"torchvision>=0.22.1",
	"torchaudio>=2.7.1",
	"torchcodec>=0.10,<0.11",
	"fastapi[standard]",
	"minio>=7.0.0",
	"sqlmodel",
	"alembic",
	"langextract",
	"motpy",
	"ultralytics>=8.2.0",
	"cohere",
	"google-genai",
	"python-dotenv",
	"transformers",
	"supervision>=0.27.0.post2",
	"accelerate>=1.13.0",
	"timm>=1.0.25",
	"sam3",
	"dagster>=1.12.21",
	"dagster-webserver>=1.12.21",
]

[project.optional-dependencies]
notebooks = ["sam3[notebooks]"]

[dependency-groups]
dev = ["ipykernel", "jupyter"]

[tool.uv]
package = false
override-dependencies = [
	"numpy>=2.1.0,<3.0.0", # force
]

# PyTorch wheels compiled against CUDA 13
[[tool.uv.index]]
name = "pytorch-cu130"
url = "https://download.pytorch.org/whl/cu130"
explicit = true

[[tool.uv.index]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true

[tool.uv.sources]
torch = [{ index = "pytorch-cu130" }]
torchvision = [{ index = "pytorch-cu130" }]
torchaudio = [{ index = "pytorch-cu130" }]
sam3 = { path = "third_party/sam3", editable = true }
torchcodec = [{ index = "pytorch-cpu" }]

[tool.dagster]
module_name = "workflows"