Add https://youtu.be/LGGxqLZtvuw to docs & bbox dimension retrieval utilities. (#9679)

Co-authored-by: UltralyticsAssistant <web@ultralytics.com>

docs/en/guides/workouts-monitoring.md

@@ -8,6 +8,18 @@ keywords: Ultralytics, YOLOv8, Object Detection, Pose Estimation, PushUps, PullU
 
 Monitoring workouts through pose estimation with [Ultralytics YOLOv8](https://github.com/ultralytics/ultralytics/) enhances exercise assessment by accurately tracking key body landmarks and joints in real-time. This technology provides instant feedback on exercise form, tracks workout routines, and measures performance metrics, optimizing training sessions for users and trainers alike.
 
+<p align="center">
+  <br>
+  <iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/LGGxqLZtvuw"
+    title="YouTube video player" frameborder="0"
+    allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
+    allowfullscreen>
+  </iframe>
+  <br>
+  <strong>Watch:</strong> Workouts Monitoring using Ultralytics YOLOv8 | Pushups, Pullups, Ab Workouts
+</p>
+
+
 ## Advantages of Workouts Monitoring?
 
 - **Optimized Performance:** Tailoring workouts based on monitoring data for better results.

docs/en/usage/simple-utilities.md

@@ -59,6 +59,28 @@ convert_coco(#(1)!
 
 For additional information about the `convert_coco` function, [visit the reference page](../reference/data/converter.md#ultralytics.data.converter.convert_coco)
 
+### Get Bounding Box Dimensions
+
+```{.py .annotate }
+from ultralytics.utils.plotting import Annotator
+from ultralytics import YOLO
+import cv2
+
+model = YOLO('yolov8n.pt')  # Load pretrain or fine-tune model
+
+# Process the image
+source = cv2.imread('path/to/image.jpg')
+results = model(source)
+
+# Extract results
+annotator = Annotator(source, example=model.names)
+
+for box in results[0].boxes.xyxy.cpu():
+    width, height, area = annotator.get_bbox_dimension(box)
+    print("Bounding Box Width {}, Height {}, Area {}".format(
+        width.item(), height.item(), area.item()))
+```
+
 ### Convert Bounding Boxes to Segments
 
 With existing `x y w h` bounding box data, convert to segments using the `yolo_bbox2segment` function. The files for images and annotations need to be organized like this: