Update Tracker docstrings (#15469)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>

ultralytics/trackers/track.py

@@ -21,10 +21,15 @@ def on_predict_start(predictor: object, persist: bool = False) -> None:
 
     Args:
         predictor (object): The predictor object to initialize trackers for.
-        persist (bool, optional): Whether to persist the trackers if they already exist. Defaults to False.
+        persist (bool): Whether to persist the trackers if they already exist.
 
     Raises:
         AssertionError: If the tracker_type is not 'bytetrack' or 'botsort'.
+
+    Examples:
+        Initialize trackers for a predictor object:
+        >>> predictor = SomePredictorClass()
+        >>> on_predict_start(predictor, persist=True)
     """
     if hasattr(predictor, "trackers") and persist:
         return
@@ -51,7 +56,12 @@ def on_predict_postprocess_end(predictor: object, persist: bool = False) -> None
 
     Args:
         predictor (object): The predictor object containing the predictions.
-        persist (bool, optional): Whether to persist the trackers if they already exist. Defaults to False.
+        persist (bool): Whether to persist the trackers if they already exist.
+
+    Examples:
+        Postprocess predictions and update with tracking
+        >>> predictor = YourPredictorClass()
+        >>> on_predict_postprocess_end(predictor, persist=True)
     """
     path, im0s = predictor.batch[:2]
 
@@ -84,6 +94,11 @@ def register_tracker(model: object, persist: bool) -> None:
     Args:
         model (object): The model object to register tracking callbacks for.
         persist (bool): Whether to persist the trackers if they already exist.
+
+    Examples:
+        Register tracking callbacks to a YOLO model
+        >>> model = YOLOModel()
+        >>> register_tracker(model, persist=True)
     """
     model.add_callback("on_predict_start", partial(on_predict_start, persist=persist))
     model.add_callback("on_predict_postprocess_end", partial(on_predict_postprocess_end, persist=persist))