check autotracking calibration values before writing to config

frigate/config/camera/onvif.py

@@ -64,7 +64,9 @@ class PtzAutotrackConfig(FrigateBaseModel):
             raise ValueError("Invalid type for movement_weights")
 
         if len(weights) != 5:
-            raise ValueError("movement_weights must have exactly 5 floats")
+            raise ValueError(
+                "movement_weights must have exactly 5 floats, remove this line from your config and run autotracking calibration"
+            )
 
         return weights
 

frigate/ptz/autotrack.py

@@ -500,9 +500,26 @@ class PtzAutoTracker:
 
             # simple linear regression with intercept
             X_with_intercept = np.column_stack((np.ones(X.shape[0]), X))
-            self.move_coefficients[camera] = np.linalg.lstsq(
+            coefficients = np.linalg.lstsq(X_with_intercept, y, rcond=None)[0]
-                X_with_intercept, y, rcond=None
+
-            )[0]
+            intercept, slope = coefficients
+
+            # Define reasonable bounds for PTZ movement times
+            MIN_MOVEMENT_TIME = 0.1  # Minimum time for any movement (100ms)
+            MAX_MOVEMENT_TIME = 10.0  # Maximum time for any movement
+            MAX_SLOPE = 2.0  # Maximum seconds per unit of movement
+
+            coefficients_valid = (
+                MIN_MOVEMENT_TIME <= intercept <= MAX_MOVEMENT_TIME
+                and 0 < slope <= MAX_SLOPE
+            )
+
+            if not coefficients_valid:
+                logger.warning(f"{camera}: Autotracking calibration failed")
+                return False
+
+            # If coefficients are valid, proceed with updates
+            self.move_coefficients[camera] = coefficients
 
             # only assign a new intercept if we're calibrating
             if calibration: