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>
45 lines
940 B
TOML
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"]
|