LayerD/pyproject.toml at main · CyberAgentAILab/LayerD · GitHub

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[project]
authors = [
    { name = "Tomoyuki Suzuki", email = "suzuki_tomoyuki@cyberagent.co.jp" },
]
name = "layerd"
version = "0.1.0"
description = "LayerD: Decomposing Raster Graphic Designs into Layers"
requires-python = ">=3.10.0"
dependencies = [
    # Core dependencies for inference and evaluation
    "numpy>=2.0",
    "torch>=2.5.1",
    "torchvision>=0.20.1",
    "opencv-python-headless>=4.5.3",
    "scikit-image>=0.25.0",
    "tqdm>=4.62.0",
    "huggingface-hub>=0.25.0",
    "transformers>=4.37.2",
    "einops>=0.8.0",           # Required by BiRefNet model
    "timm>=1.0.12",            # Required by BiRefNet model
    "kornia>=0.5.0",           # Required by BiRefNet model
    "pillow>=9.5.0",
    "fsspec>=2021.10.0",       # Filesystem abstraction for cloud storage support
    "psd-tools>=1.9.0",        # PSD export support
    "pydantic>=2.5.2",         # Pipeline result models for API compatibility
]

[project.scripts]
layerd = "layerd.cli:main"

[project.optional-dependencies]
# Dataset generation dependencies (tools/generate_crello_matting.py)
dataset = [
    "datasets>=2.14.4",        # HuggingFace datasets (Crello)
    "skia-python>=120.0b5",    # Rendering via cr-renderer
    "pydantic>=2.5.2",         # Schema validation for cr-renderer
]
# Training dependencies (tools/train.py)
train = [
    "hydra-core>=1.3.2",       # Config management
    "accelerate>=0.28.0",      # Optional distributed training
]
# OCR support with transformers backend (CUDA required)
# EAST backend works without extras (uses opencv from core)
ocr = [
    "transformers>=4.37.2,<=4.48.0",  # GOT-OCR2 requires transformers<=4.48.0 due to API changes in model.chat()
    "verovio>=4.3.1",                 # Required by GOT-OCR2
]
# Convenience group for all optional dependencies
all = [
    "datasets>=2.14.4",
    "skia-python>=120.0b5",
    "pydantic>=2.5.2",
    "hydra-core>=1.3.2",
    "accelerate>=0.28.0",
    "transformers>=4.37.2,<=4.48.0",
    "verovio>=4.3.1",
]

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[tool.hatch.build.targets.wheel]
packages = ["src/layerd"]

[tool.mypy]
ignore_missing_imports = true
disallow_untyped_defs = true
disallow_incomplete_defs = true
no_implicit_optional = true
exclude = ["src/layerd/_vendor"]

[tool.ruff]
line-length = 120
target-version = "py310"
lint.ignore = ["F401", 'E741']

[tool.ruff.lint.isort]
known-first-party = ["layerd"]

[tool.uv]
index-strategy = "unsafe-best-match"

[tool.uv.pip]
emit-index-url = true


[dependency-groups]
dev = [
    "ipykernel>=6.29.5",
    "ipython>=8.29.0",
    "matplotlib>=3.10.0",
    "pre-commit>=4.0.1",
    "pytest>=8.3.3",
    "ruff>=0.8.0",
    "mypy>=1.5.1",
    "types-PyYAML>=6.0.0",
]

[tool.pytest.ini_options]
markers = [
    "slow: marks tests as slow (loads ML models, runs inference, >30s on CPU)",
    "integration: marks tests as integration tests (requires real models)",
    "requires_gpu: marks tests that require GPU/CUDA",
]
filterwarnings = [
    "ignore::FutureWarning:timm.models.layers",
    "ignore::FutureWarning:timm.models.registry",
]