olivas/backend/pyproject.toml
DJP 3467dbcf03 Initial commit — OliVAS visual attention analysis platform
Full-stack application for predicting where humans look in images using
DeepGaze saliency models. Includes heatmap overlays, gaze sequence prediction,
hotspot detection, AOI analysis, rule-based insights, optional Claude AI
design analysis, and professional PDF report generation.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-23 20:20:58 -05:00

45 lines
940 B
TOML

[project]
name = "olivas-backend"
version = "0.1.0"
description = "OliVAS - Open-Source Visual Attention Software backend"
requires-python = ">=3.12"
dependencies = [
"fastapi>=0.115.0",
"uvicorn[standard]>=0.30.0",
"python-multipart>=0.0.9",
"sqlalchemy[asyncio]>=2.0",
"alembic>=1.13",
"asyncpg>=0.29",
"pydantic>=2.0",
"pydantic-settings>=2.0",
"pillow>=10.0",
"numpy>=1.26",
"torch>=2.1",
"torchvision>=0.16",
"scipy>=1.11",
"matplotlib>=3.8",
"scikit-image>=0.22",
"reportlab>=4.0",
"aiofiles>=23.0",
"anthropic>=0.40",
]
[project.optional-dependencies]
dev = [
"pytest>=8.0",
"pytest-asyncio>=0.23",
"httpx>=0.27",
"ruff>=0.4",
]
[build-system]
requires = ["setuptools>=68.0"]
build-backend = "setuptools.build_meta"
[tool.ruff]
line-length = 100
target-version = "py312"
[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["tests"]