wdtagger/pyproject.toml
2025-02-21 14:24:49 +09:00

69 lines
1.4 KiB
TOML

[project]
name = "wdtagger"
version = "0.11.2"
description = "A simple and easy-to-use wrapper for the tagger model created by [SmilingWolf](https://github.com/SmilingWolf) which is specifically designed for tagging anime illustrations."
authors = [{ name = "Jianqi Pan", email = "jannchie@gmail.com" }]
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"huggingface-hub>=0.26.2",
"numpy<2",
"pandas>=2.2.3",
"pillow>=11.0.0",
]
[dependency-groups]
dev = ["pytest>=8.3.3", "pytest-benchmark>=5.1.0", "ruff>=0.8.0"]
[project.optional-dependencies]
cpu = ["torch>=2.5.1", "torchvision>=0.20.1", "timm>=1.0.11"]
gpu = ["torch>=2.5.1", "torchvision>=0.20.1", "timm>=1.0.11"]
[tool.ruff]
line-length = 140
select = ["ALL"]
ignore = [
"PGH",
"RUF003",
"BLE001",
"ERA001",
"FIX002",
"TD002",
"TD003",
"D",
"N812",
]
[tool.pyright]
[tool.uv]
conflicts = [[{ extra = "cpu" }, { extra = "gpu" }]]
package = true
[tool.uv.sources]
torch = [
{ index = "torch-cpu", extra = "cpu" },
{ index = "torch-gpu", extra = "gpu" },
]
torchvision = [
{ index = "torch-cpu", extra = "cpu" },
{ index = "torch-gpu", extra = "gpu" },
]
[[tool.uv.index]]
name = "torch-cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true
[[tool.uv.index]]
name = "torch-gpu"
url = "https://download.pytorch.org/whl/cu124"
explicit = true
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"