mirror of
https://github.com/blakeblackshear/frigate.git
synced 2026-03-13 11:57:36 +03:00
6a21b2952d
* migrator and runtime config changes * component changes to use rasterized_mask * frontend * convert none to empty string for config save * i18n * update tests * add enabled config to zones * zones frontend * i18n * docs * tweaks * use dashed stroke to indicate disabled * allow toggle from icon * use filelock to ensure atomic config updates from endpoint * enforce atomic config update in the frontend * toggle via mqtt * fix global object masks * correctly handle global object masks in dispatcher * ws hooks * render masks and zones based on ws enabled state * use enabled_in_config for zones and masks * frontend for enabled_in_config * tweaks * i18n * publish websocket on config save * i18n tweaks * pydantic title and description * i18n generation * tweaks * fix typing
84 lines
2.9 KiB
Python
84 lines
2.9 KiB
Python
from typing import Any, Optional
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from pydantic import Field, field_serializer
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from ..base import FrigateBaseModel
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from .mask import MotionMaskConfig
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__all__ = ["MotionConfig"]
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class MotionConfig(FrigateBaseModel):
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enabled: bool = Field(
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default=True,
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title="Enable motion detection",
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description="Enable or disable motion detection for all cameras; can be overridden per-camera.",
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)
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threshold: int = Field(
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default=30,
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title="Motion threshold",
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description="Pixel difference threshold used by the motion detector; higher values reduce sensitivity (range 1-255).",
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ge=1,
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le=255,
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)
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lightning_threshold: float = Field(
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default=0.8,
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title="Lightning threshold",
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description="Threshold to detect and ignore brief lighting spikes (lower is more sensitive, values between 0.3 and 1.0).",
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ge=0.3,
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le=1.0,
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)
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improve_contrast: bool = Field(
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default=True,
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title="Improve contrast",
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description="Apply contrast improvement to frames before motion analysis to help detection.",
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)
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contour_area: Optional[int] = Field(
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default=10,
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title="Contour area",
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description="Minimum contour area in pixels required for a motion contour to be counted.",
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)
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delta_alpha: float = Field(
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default=0.2,
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title="Delta alpha",
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description="Alpha blending factor used in frame differencing for motion calculation.",
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)
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frame_alpha: float = Field(
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default=0.01,
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title="Frame alpha",
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description="Alpha value used when blending frames for motion preprocessing.",
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)
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frame_height: Optional[int] = Field(
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default=100,
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title="Frame height",
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description="Height in pixels to scale frames to when computing motion.",
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)
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mask: dict[str, Optional[MotionMaskConfig]] = Field(
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default_factory=dict,
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title="Mask coordinates",
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description="Ordered x,y coordinates defining the motion mask polygon used to include/exclude areas.",
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)
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mqtt_off_delay: int = Field(
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default=30,
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title="MQTT off delay",
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description="Seconds to wait after last motion before publishing an MQTT 'off' state.",
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)
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enabled_in_config: Optional[bool] = Field(
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default=None,
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title="Original motion state",
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description="Indicates whether motion detection was enabled in the original static configuration.",
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)
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raw_mask: dict[str, Optional[MotionMaskConfig]] = Field(
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default_factory=dict, exclude=True
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)
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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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if self.raw_mask:
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return self.raw_mask
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return value
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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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