Autotracker: Basic zooming and moves with velocity estimation (#7713)

* don't zoom if camera doesn't support it

* basic zooming

* make zooming configurable

* zooming docs

* optional zooming in camera status

* Use absolute instead of relative zooming

* increase edge threshold

* zoom considering object area

* bugfixes

* catch onvif zooming errors

* relative zooming option for dahua/amcrest cams

* docs

* docs

* don't make small movements

* remove old logger statement

* fix small movements

* use enum in config for zooming

* fix formatting

* empty move queue first

* clear tracked object before waiting for stop

* use velocity estimation for movements

* docs updates

* add tests

* typos

* recalc every 50 moves

* adjust zoom based on estimate box if calibrated

* tweaks for fast objects and large movements

* use real time for calibration and add info logging

* docs updates

* remove area scale

* Add example video to docs

* zooming font header size the same as the others

* log an error if a ptz doesn't report a MoveStatus

* debug logging for onvif service capabilities

* ensure camera supports ONVIF MoveStatus

frigate/config.py

@@ -138,8 +138,20 @@ class MqttConfig(FrigateBaseModel):
         return v
 
 
+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."
+    )
     track: List[str] = Field(default=DEFAULT_TRACKED_OBJECTS, title="Objects to track.")
     required_zones: List[str] = Field(
         default_factory=list,
@@ -152,6 +164,27 @@ class PtzAutotrackConfig(FrigateBaseModel):
     timeout: int = Field(
         default=10, title="Seconds to delay before returning to preset."
     )
+    movement_weights: Optional[Union[float, List[float]]] = Field(
+        default=[],
+        title="Internal value used for PTZ movements based on the speed of your camera's motor.",
+    )
+
+    @validator("movement_weights", pre=True)
+    def validate_weights(cls, v):
+        if v is None:
+            return None
+
+        if isinstance(v, str):
+            weights = list(map(float, v.split(",")))
+        elif isinstance(v, list):
+            weights = [float(val) for val in v]
+        else:
+            raise ValueError("Invalid type for movement_weights")
+
+        if len(weights) != 3:
+            raise ValueError("movement_weights must have exactly 3 floats")
+
+        return weights
 
 
 class OnvifConfig(FrigateBaseModel):