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61 lines (56 loc) · 1.61 KB
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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "fashn-human-parser"
version = "0.1.1"
description = "Human parsing model for fashion and virtual try-on applications"
readme = "README.md"
requires-python = ">=3.8"
license = {text = "See LICENSE"}
authors = [
{name = "FASHN AI", email = "dan@fashn.ai"},
]
keywords = [
"human-parsing",
"segmentation",
"fashion",
"virtual-try-on",
"deep-learning",
"computer-vision",
]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Image Processing",
"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",
]
dependencies = [
"torch>=2.2",
"transformers>=4.30",
"opencv-python>=4.8",
"numpy>=1.20",
"pillow>=9.0",
]
[project.optional-dependencies]
dev = [
"pytest>=7.0",
"pytest-cov>=4.0",
]
[project.urls]
Homepage = "https://github.com/fashn-AI/fashn-human-parser"
Documentation = "https://huggingface.co/fashn-ai/fashn-human-parser"
Repository = "https://github.com/fashn-AI/fashn-human-parser"
Issues = "https://github.com/fashn-AI/fashn-human-parser/issues"
[tool.hatch.build.targets.wheel]
packages = ["src/fashn_human_parser"]
[tool.pytest.ini_options]
testpaths = ["tests"]
pythonpath = ["src"]