3467dbcf03
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>
26 lines
971 B
Python
26 lines
971 B
Python
import uuid
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from sqlalchemy import Float, ForeignKey, Integer, String
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from app.models.base import Base
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class AOI(Base):
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__tablename__ = "aois"
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id: Mapped[str] = mapped_column(
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String(36), primary_key=True, default=lambda: str(uuid.uuid4())
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)
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analysis_id: Mapped[str] = mapped_column(ForeignKey("analyses.id"), index=True)
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label: Mapped[str] = mapped_column(String(100))
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x: Mapped[int] = mapped_column(Integer)
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y: Mapped[int] = mapped_column(Integer)
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width: Mapped[int] = mapped_column(Integer)
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height: Mapped[int] = mapped_column(Integer)
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attention_pct: Mapped[float | None] = mapped_column(Float, nullable=True)
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area_pct: Mapped[float | None] = mapped_column(Float, nullable=True)
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attention_density: Mapped[float | None] = mapped_column(Float, nullable=True)
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analysis: Mapped["Analysis"] = relationship(back_populates="aois") # noqa: F821
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