Merge pull request #286 from roboflow/paddle_typo_doc

docs: 📝 typo fix for PaddleDetection in args

Author: onuralpszr

docs/changelog.md

@@ -1,6 +1,6 @@
 ### 0.13.0 <small>August 8, 2023</small>
 
-- Added [#236](https://github.com/roboflow/supervision/pull/236): support for mean average precision (mAP) for object detection models with [`sv.MeanAveragePrecision`](https://roboflow.github.io/supervision/metrics/detection/#meanaverageprecision). 
+- Added [#236](https://github.com/roboflow/supervision/pull/236): support for mean average precision (mAP) for object detection models with [`sv.MeanAveragePrecision`](https://roboflow.github.io/supervision/metrics/detection/#meanaverageprecision).
 
 ```python
 >>> import supervision as sv

supervision/detection/core.py

@@ -469,7 +469,7 @@ def from_paddledet(cls, paddledet_result) -> Detections:
             inference result.
 
         Args:
-            paddledet_result (List[dict]): The output Results instance from SAM
+            paddledet_result (List[dict]): The output Results instance from PaddleDet
 
         Returns:
             Detections: A new Detections object.

supervision/tracker/byte_tracker/core.py

@@ -212,7 +212,7 @@ def update_with_detections(self, detections: Detections) -> Detections:
             >>> def callback(frame: np.ndarray, index: int) -> np.ndarray:
             ...     results = model(frame)[0]
             ...     detections = sv.Detections.from_yolov8(results)
-            ...     detections = byte_tracker.update_with_detections(detections=detections)
+            ...     detections = byte_tracker.update_with_detections(detections)
             ...     labels = [
             ...         f"#{tracker_id} {model.model.names[class_id]} {confidence:0.2f}"
             ...         for _, _, confidence, class_id, tracker_id