mirror of
https://github.com/blakeblackshear/frigate.git
synced 2024-11-26 19:06:11 +01:00
73 lines
2.2 KiB
Python
73 lines
2.2 KiB
Python
from typing import Any, Optional, Union
|
|
|
|
from pydantic import Field, PrivateAttr, field_serializer
|
|
|
|
from ..base import FrigateBaseModel
|
|
|
|
__all__ = ["ObjectConfig", "FilterConfig"]
|
|
|
|
|
|
DEFAULT_TRACKED_OBJECTS = ["person"]
|
|
|
|
|
|
class FilterConfig(FrigateBaseModel):
|
|
min_area: int = Field(
|
|
default=0, title="Minimum area of bounding box for object to be counted."
|
|
)
|
|
max_area: int = Field(
|
|
default=24000000, title="Maximum area of bounding box for object to be counted."
|
|
)
|
|
min_ratio: float = Field(
|
|
default=0,
|
|
title="Minimum ratio of bounding box's width/height for object to be counted.",
|
|
)
|
|
max_ratio: float = Field(
|
|
default=24000000,
|
|
title="Maximum ratio of bounding box's width/height for object to be counted.",
|
|
)
|
|
threshold: float = Field(
|
|
default=0.7,
|
|
title="Average detection confidence threshold for object to be counted.",
|
|
)
|
|
min_score: float = Field(
|
|
default=0.5, title="Minimum detection confidence for object to be counted."
|
|
)
|
|
mask: Optional[Union[str, list[str]]] = Field(
|
|
default=None,
|
|
title="Detection area polygon mask for this filter configuration.",
|
|
)
|
|
raw_mask: Union[str, list[str]] = ""
|
|
|
|
@field_serializer("mask", when_used="json")
|
|
def serialize_mask(self, value: Any, info):
|
|
return self.raw_mask
|
|
|
|
@field_serializer("raw_mask", when_used="json")
|
|
def serialize_raw_mask(self, value: Any, info):
|
|
return None
|
|
|
|
|
|
class ObjectConfig(FrigateBaseModel):
|
|
track: list[str] = Field(default=DEFAULT_TRACKED_OBJECTS, title="Objects to track.")
|
|
filters: dict[str, FilterConfig] = Field(
|
|
default_factory=dict, title="Object filters."
|
|
)
|
|
mask: Union[str, list[str]] = Field(default="", title="Object mask.")
|
|
_all_objects: list[str] = PrivateAttr()
|
|
|
|
@property
|
|
def all_objects(self) -> list[str]:
|
|
return self._all_objects
|
|
|
|
def parse_all_objects(self, cameras):
|
|
if "_all_objects" in self:
|
|
return
|
|
|
|
# get list of unique enabled labels for tracking
|
|
enabled_labels = set(self.track)
|
|
|
|
for camera in cameras.values():
|
|
enabled_labels.update(camera.objects.track)
|
|
|
|
self._all_objects = list(enabled_labels)
|