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| [build-system] | |
| requires = ["setuptools>=61.0", "wheel"] | |
| build-backend = "setuptools.build_meta" | |
| [project] | |
| name = "fashn-vton" | |
| version = "1.5.0" | |
| description = "FASHN VTON v1.5" | |
| license = {text = "Apache-2.0"} | |
| authors = [ | |
| {name = "FASHN AI", email = "dan@fashn.ai"} | |
| ] | |
| keywords = ["virtual try-on", "diffusion models", "fashion", "AI", "deep learning"] | |
| classifiers = [ | |
| "Development Status :: 4 - Beta", | |
| "Intended Audience :: Developers", | |
| "Intended Audience :: Science/Research", | |
| "License :: OSI Approved :: Apache Software License", | |
| "Operating System :: OS Independent", | |
| "Programming Language :: Python :: 3", | |
| "Programming Language :: Python :: 3.10", | |
| "Programming Language :: Python :: 3.11", | |
| "Programming Language :: Python :: 3.12", | |
| "Topic :: Scientific/Engineering :: Artificial Intelligence", | |
| "Topic :: Scientific/Engineering :: Image Processing", | |
| ] | |
| requires-python = ">=3.10" | |
| dependencies = [ | |
| "torch>=2.0.0", | |
| "torchvision>=0.15.0", | |
| "safetensors>=0.3.0", | |
| "huggingface_hub>=0.20.0", | |
| "pillow>=9.0.0", | |
| "numpy>=1.21.0", | |
| "opencv-python>=4.5.0", | |
| "tqdm>=4.65.0", | |
| "einops>=0.6.0", | |
| "onnxruntime-gpu>=1.14.0", | |
| "matplotlib>=3.5.0", | |
| "fashn-human-parser>=0.1.1", | |
| ] | |
| [project.optional-dependencies] | |
| dev = [ | |
| "pytest>=7.0.0", | |
| "black>=23.0.0", | |
| "ruff>=0.0.270", | |
| ] | |
| [project.urls] | |
| Homepage = "https://github.com/fashn-AI/fashn-vton-1.5" | |
| Documentation = "https://github.com/fashn-AI/fashn-vton-1.5#readme" | |
| Repository = "https://github.com/fashn-AI/fashn-vton-1.5" | |
| Issues = "https://github.com/fashn-AI/fashn-vton-1.5/issues" | |
| [tool.setuptools.packages.find] | |
| where = ["src"] | |
| [tool.black] | |
| line-length = 120 | |
| target-version = ["py310", "py311", "py312"] | |
| [tool.ruff] | |
| line-length = 120 | |
| target-version = "py310" | |
| [tool.ruff.lint] | |
| select = ["E", "F", "I", "W"] | |
| ignore = ["E501"] | |