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https://github.com/blakeblackshear/frigate.git
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c8cec63cb9
* add ability to specify min and max area as percentages * debug draw area and ratio * docs * update for best percentage
75 lines
2.4 KiB
Python
75 lines
2.4 KiB
Python
from typing import Any, Optional, Union
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from pydantic import Field, PrivateAttr, 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: Union[int, float] = Field(
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default=0,
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title="Minimum area of bounding box for object to be counted. Can be pixels (int) or percentage (float between 0.000001 and 0.99).",
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)
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max_area: Union[int, float] = Field(
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default=24000000,
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title="Maximum area of bounding box for object to be counted. Can be pixels (int) or percentage (float between 0.000001 and 0.99).",
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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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_all_objects: list[str] = PrivateAttr()
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@property
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def all_objects(self) -> list[str]:
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return self._all_objects
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def parse_all_objects(self, cameras):
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if "_all_objects" in self:
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return
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# get list of unique enabled labels for tracking
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enabled_labels = set(self.track)
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for camera in cameras.values():
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enabled_labels.update(camera.objects.track)
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self._all_objects = list(enabled_labels)
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