mirror of
https://github.com/blakeblackshear/frigate.git
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56 lines
1.7 KiB
Python
56 lines
1.7 KiB
Python
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from typing import Any, Optional, Union
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from pydantic import Field, field_serializer
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from ..base import FrigateBaseModel
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__all__ = ["ObjectConfig", "FilterConfig"]
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DEFAULT_TRACKED_OBJECTS = ["person"]
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class FilterConfig(FrigateBaseModel):
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min_area: int = Field(
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default=0, title="Minimum area of bounding box for object to be counted."
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)
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max_area: int = Field(
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default=24000000, title="Maximum area of bounding box for object to be counted."
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)
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min_ratio: float = Field(
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default=0,
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title="Minimum ratio of bounding box's width/height for object to be counted.",
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)
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max_ratio: float = Field(
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default=24000000,
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title="Maximum ratio of bounding box's width/height for object to be counted.",
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)
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threshold: float = Field(
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default=0.7,
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title="Average detection confidence threshold for object to be counted.",
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)
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min_score: float = Field(
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default=0.5, title="Minimum detection confidence for object to be counted."
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)
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mask: Optional[Union[str, list[str]]] = Field(
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default=None,
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title="Detection area polygon mask for this filter configuration.",
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)
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raw_mask: Union[str, list[str]] = ""
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@field_serializer("mask", when_used="json")
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def serialize_mask(self, value: Any, info):
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return self.raw_mask
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@field_serializer("raw_mask", when_used="json")
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def serialize_raw_mask(self, value: Any, info):
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return None
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class ObjectConfig(FrigateBaseModel):
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track: list[str] = Field(default=DEFAULT_TRACKED_OBJECTS, title="Objects to track.")
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filters: dict[str, FilterConfig] = Field(
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default_factory=dict, title="Object filters."
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)
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mask: Union[str, list[str]] = Field(default="", title="Object mask.")
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