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| from __future__ import annotations | |
| from typing import Any | |
| from pydantic import BaseModel, ConfigDict, Field | |
| class Point2D(BaseModel): | |
| x: float | |
| y: float | |
| class AgentState(BaseModel): | |
| id: int | |
| type: str | |
| raw_label: str | None = None | |
| history: list[Point2D] = Field(default_factory=list) | |
| predictions: list[list[Point2D]] = Field(default_factory=list) | |
| probabilities: list[float] = Field(default_factory=list) | |
| is_target: bool = False | |
| class LiveFusionRequest(BaseModel): | |
| anchor_idx: int = Field(default=3, ge=0) | |
| score_threshold: float = Field(default=0.35, ge=0.0, le=1.0) | |
| tracking_gate_px: float = Field(default=130.0, ge=1.0, le=500.0) | |
| use_pose: bool = False | |
| class PredictionResponse(BaseModel): | |
| mode: str | |
| target_track_id: int | None = None | |
| agents: list[AgentState] = Field(default_factory=list) | |
| meta: dict[str, Any] = Field(default_factory=dict) | |
| detections: dict[str, Any] | None = None | |
| sensors: dict[str, Any] | None = None | |
| scene_geometry: dict[str, Any] | None = None | |
| model_config = ConfigDict(extra="allow") | |