Fix mkdocs.yml raw image URLs (#14213)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Burhan <62214284+Burhan-Q@users.noreply.github.com>

docs/en/guides/workouts-monitoring.md

@@ -4,7 +4,7 @@ description: Optimize your fitness routine with real-time workouts monitoring us
 keywords: workouts monitoring, Ultralytics YOLOv8, pose estimation, fitness tracking, exercise assessment, real-time feedback, exercise form, performance metrics
 ---
 
-# Workouts Monitoring using Ultralytics YOLOv8 🚀
+# Workouts Monitoring using Ultralytics YOLOv8
 
 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.
 
@@ -152,3 +152,110 @@ Monitoring workouts through pose estimation with [Ultralytics YOLOv8](https://gi
 | `iou`     | `float` | `0.5`          | IOU Threshold                                               |
 | `classes` | `list`  | `None`         | filter results by class, i.e. classes=0, or classes=[0,2,3] |
 | `verbose` | `bool`  | `True`         | Display the object tracking results                         |
+
+## FAQ
+
+### How do I monitor my workouts using Ultralytics YOLOv8?
+
+To monitor your workouts using Ultralytics YOLOv8, you can utilize the pose estimation capabilities to track and analyze key body landmarks and joints in real-time. This allows you to receive instant feedback on your exercise form, count repetitions, and measure performance metrics. You can start by using the provided example code for pushups, pullups, or ab workouts as shown:
+
+```python
+import cv2
+
+from ultralytics import YOLO, solutions
+
+model = YOLO("yolov8n-pose.pt")
+cap = cv2.VideoCapture("path/to/video/file.mp4")
+assert cap.isOpened(), "Error reading video file"
+w, h, fps = (int(cap.get(x)) for x in (cv2.CAP_PROP_FRAME_WIDTH, cv2.CAP_PROP_FRAME_HEIGHT, cv2.CAP_PROP_FPS))
+
+gym_object = solutions.AIGym(
+    line_thickness=2,
+    view_img=True,
+    pose_type="pushup",
+    kpts_to_check=[6, 8, 10],
+)
+
+while cap.isOpened():
+    success, im0 = cap.read()
+    if not success:
+        print("Video frame is empty or video processing has been successfully completed.")
+        break
+    results = model.track(im0, verbose=False)
+    im0 = gym_object.start_counting(im0, results)
+
+cv2.destroyAllWindows()
+```
+
+For further customization and settings, you can refer to the [AIGym](#arguments-aigym) section in the documentation.
+
+### What are the benefits of using Ultralytics YOLOv8 for workout monitoring?
+
+Using Ultralytics YOLOv8 for workout monitoring provides several key benefits:
+
+- **Optimized Performance:** By tailoring workouts based on monitoring data, you can achieve better results.
+- **Goal Achievement:** Easily track and adjust fitness goals for measurable progress.
+- **Personalization:** Get customized workout plans based on your individual data for optimal effectiveness.
+- **Health Awareness:** Early detection of patterns that indicate potential health issues or over-training.
+- **Informed Decisions:** Make data-driven decisions to adjust routines and set realistic goals.
+
+You can watch a [YouTube video demonstration](https://www.youtube.com/embed/LGGxqLZtvuw) to see these benefits in action.
+
+### How accurate is Ultralytics YOLOv8 in detecting and tracking exercises?
+
+Ultralytics YOLOv8 is highly accurate in detecting and tracking exercises due to its state-of-the-art pose estimation capabilities. It can accurately track key body landmarks and joints, providing real-time feedback on exercise form and performance metrics. The model's pretrained weights and robust architecture ensure high precision and reliability. For real-world examples, check out the [real-world applications](#real-world-applications) section in the documentation, which showcases pushups and pullups counting.
+
+### Can I use Ultralytics YOLOv8 for custom workout routines?
+
+Yes, Ultralytics YOLOv8 can be adapted for custom workout routines. The `AIGym` class supports different pose types such as "pushup", "pullup", and "abworkout." You can specify keypoints and angles to detect specific exercises. Here is an example setup:
+
+```python
+from ultralytics import solutions
+
+gym_object = solutions.AIGym(
+    line_thickness=2,
+    view_img=True,
+    pose_type="squat",
+    kpts_to_check=[6, 8, 10],
+)
+```
+
+For more details on setting arguments, refer to the [Arguments `AIGym`](#arguments-aigym) section. This flexibility allows you to monitor various exercises and customize routines based on your needs.
+
+### How can I save the workout monitoring output using Ultralytics YOLOv8?
+
+To save the workout monitoring output, you can modify the code to include a video writer that saves the processed frames. Here's an example:
+
+```python
+import cv2
+
+from ultralytics import YOLO, solutions
+
+model = YOLO("yolov8n-pose.pt")
+cap = cv2.VideoCapture("path/to/video/file.mp4")
+assert cap.isOpened(), "Error reading video file"
+w, h, fps = (int(cap.get(x)) for x in (cv2.CAP_PROP_FRAME_WIDTH, cv2.CAP_PROP_FRAME_HEIGHT, cv2.CAP_PROP_FPS))
+
+video_writer = cv2.VideoWriter("workouts.avi", cv2.VideoWriter_fourcc(*"mp4v"), fps, (w, h))
+
+gym_object = solutions.AIGym(
+    line_thickness=2,
+    view_img=True,
+    pose_type="pushup",
+    kpts_to_check=[6, 8, 10],
+)
+
+while cap.isOpened():
+    success, im0 = cap.read()
+    if not success:
+        print("Video frame is empty or video processing has been successfully completed.")
+        break
+    results = model.track(im0, verbose=False)
+    im0 = gym_object.start_counting(im0, results)
+    video_writer.write(im0)
+
+cv2.destroyAllWindows()
+video_writer.release()
+```
+
+This setup writes the monitored video to an output file. For more details, refer to the [Workouts Monitoring with Save Output](#workouts-monitoring-using-ultralytics-yolov8) section.