mirror of
https://github.com/blakeblackshear/frigate.git
synced 2024-11-26 19:06:11 +01:00
85 lines
2.8 KiB
Python
85 lines
2.8 KiB
Python
|
from enum import Enum
|
||
|
|
from typing import Optional, Union
|
||
|
|
|
||
|
|
from pydantic import Field, field_validator
|
||
|
|
|
||
|
|
from ..base import FrigateBaseModel
|
||
|
|
from ..env import EnvString
|
||
|
|
from .objects import DEFAULT_TRACKED_OBJECTS
|
||
|
|
|
||
|
|
__all__ = ["OnvifConfig", "PtzAutotrackConfig", "ZoomingModeEnum"]
|
||
|
|
|
||
|
|
|
||
|
|
class ZoomingModeEnum(str, Enum):
|
||
|
|
disabled = "disabled"
|
||
|
|
absolute = "absolute"
|
||
|
|
relative = "relative"
|
||
|
|
|
||
|
|
|
||
|
|
class PtzAutotrackConfig(FrigateBaseModel):
|
||
|
|
enabled: bool = Field(default=False, title="Enable PTZ object autotracking.")
|
||
|
|
calibrate_on_startup: bool = Field(
|
||
|
|
default=False, title="Perform a camera calibration when Frigate starts."
|
||
|
|
)
|
||
|
|
zooming: ZoomingModeEnum = Field(
|
||
|
|
default=ZoomingModeEnum.disabled, title="Autotracker zooming mode."
|
||
|
|
)
|
||
|
|
zoom_factor: float = Field(
|
||
|
|
default=0.3,
|
||
|
|
title="Zooming factor (0.1-0.75).",
|
||
|
|
ge=0.1,
|
||
|
|
le=0.75,
|
||
|
|
)
|
||
|
|
track: list[str] = Field(default=DEFAULT_TRACKED_OBJECTS, title="Objects to track.")
|
||
|
|
required_zones: list[str] = Field(
|
||
|
|
default_factory=list,
|
||
|
|
title="List of required zones to be entered in order to begin autotracking.",
|
||
|
|
)
|
||
|
|
return_preset: str = Field(
|
||
|
|
default="home",
|
||
|
|
title="Name of camera preset to return to when object tracking is over.",
|
||
|
|
)
|
||
|
|
timeout: int = Field(
|
||
|
|
default=10, title="Seconds to delay before returning to preset."
|
||
|
|
)
|
||
|
|
movement_weights: Optional[Union[str, list[str]]] = Field(
|
||
|
|
default_factory=list,
|
||
|
|
title="Internal value used for PTZ movements based on the speed of your camera's motor.",
|
||
|
|
)
|
||
|
|
enabled_in_config: Optional[bool] = Field(
|
||
|
|
default=None, title="Keep track of original state of autotracking."
|
||
|
|
)
|
||
|
|
|
||
|
|
@field_validator("movement_weights", mode="before")
|
||
|
|
@classmethod
|
||
|
|
def validate_weights(cls, v):
|
||
|
|
if v is None:
|
||
|
|
return None
|
||
|
|
|
||
|
|
if isinstance(v, str):
|
||
|
|
weights = list(map(str, map(float, v.split(","))))
|
||
|
|
elif isinstance(v, list):
|
||
|
|
weights = [str(float(val)) for val in v]
|
||
|
|
else:
|
||
|
|
raise ValueError("Invalid type for movement_weights")
|
||
|
|
|
||
|
|
if len(weights) != 5:
|
||
|
|
raise ValueError("movement_weights must have exactly 5 floats")
|
||
|
|
|
||
|
|
return weights
|
||
|
|
|
||
|
|
|
||
|
|
class OnvifConfig(FrigateBaseModel):
|
||
|
|
host: str = Field(default="", title="Onvif Host")
|
||
|
|
port: int = Field(default=8000, title="Onvif Port")
|
||
|
|
user: Optional[EnvString] = Field(default=None, title="Onvif Username")
|
||
|
|
password: Optional[EnvString] = Field(default=None, title="Onvif Password")
|
||
|
|
autotracking: PtzAutotrackConfig = Field(
|
||
|
|
default_factory=PtzAutotrackConfig,
|
||
|
|
title="PTZ auto tracking config.",
|
||
|
|
)
|
||
|
|
ignore_time_mismatch: bool = Field(
|
||
|
|
default=False,
|
||
|
|
title="Onvif Ignore Time Synchronization Mismatch Between Camera and Server",
|
||
|
|
)
|