File size: 1,493 Bytes
d37698e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 | """Prediction and label-spec types for localization given labels."""
from __future__ import annotations
from dataclasses import dataclass
from typing import Any
from pydantic import BaseModel, Field
@dataclass(frozen=True, slots=True)
class LabelSpec:
label: str
multiplicity: int
def to_dict(self) -> dict[str, Any]:
return {"label": self.label, "multiplicity": self.multiplicity}
@classmethod
def from_dict(cls, raw: dict[str, Any]) -> LabelSpec:
return cls(label=str(raw["label"]), multiplicity=int(raw["multiplicity"]))
@dataclass(frozen=True, slots=True)
class GoldSegment:
start_sec: float
end_sec: float
label: str
def to_dict(self) -> dict[str, Any]:
return {
"start_sec": float(self.start_sec),
"end_sec": float(self.end_sec),
"label": self.label,
}
@classmethod
def from_dict(cls, raw: dict[str, Any]) -> GoldSegment:
return cls(
start_sec=float(raw["start_sec"]),
end_sec=float(raw["end_sec"]),
label=str(raw["label"]),
)
class PredictedInterval(BaseModel):
label_echo: str
start_sec: float
end_sec: float
class LabelPrediction(BaseModel):
label: str
intervals: list[PredictedInterval] = Field(default_factory=list)
class PredictionResult(BaseModel):
"""Structured model output for localization given labels."""
labels: list[LabelPrediction] = Field(default_factory=list)
|