ultralytics 8.3.28 new Solutions CLI commands (#17233)

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

docs/en/guides/analytics.md

@@ -33,9 +33,21 @@ This guide provides a comprehensive overview of three fundamental types of [data
 - Bar plots, on the other hand, are suitable for comparing quantities across different categories and showing relationships between a category and its numerical value.
 - Lastly, pie charts are effective for illustrating proportions among categories and showing parts of a whole.
 
-!!! analytics "Analytics Examples"
+!!! example "Analytics Examples"
 
-    === "Line Graph"
+    === "CLI"
+
+        ```bash
+         yolo solutions analytics show=True
+
+        # pass the source
+        yolo solutions analytics source="path/to/video/file.mp4"
+
+        # generate the pie chart
+        yolo solutions analytics analytics_type="pie" show=True
+        ```
+
+    === "Python"
 
         ```python
         import cv2

docs/en/guides/heatmaps.md

@@ -36,7 +36,20 @@ A heatmap generated with [Ultralytics YOLO11](https://github.com/ultralytics/ult
 
 !!! example "Heatmaps using Ultralytics YOLO11 Example"
 
-    === "Heatmap"
+    === "CLI"
+
+        ```bash
+        # Run a heatmap example
+        yolo solutions heatmap show=True
+
+        # Pass a source video
+        yolo solutions heatmap source="path/to/video/file.mp4"
+
+        # Pass a custom colormap
+        yolo solutions heatmap colormap=cv2.COLORMAP_INFERNO
+        ```
+
+    === "Python"
 
         ```python
         import cv2

docs/en/guides/object-counting.md

@@ -48,7 +48,20 @@ Object counting with [Ultralytics YOLO11](https://github.com/ultralytics/ultraly
 
 !!! example "Object Counting using YOLO11 Example"
 
-    === "Count in Region"
+    === "CLI"
+
+        ```bash
+        # Run a counting example
+        yolo solutions count show=True
+
+        # Pass a source video
+        yolo solutions count source="path/to/video/file.mp4"
+
+        # Pass region coordinates
+        yolo solutions count region=[(20, 400), (1080, 404), (1080, 360), (20, 360)]
+        ```
+
+    === "Python"
 
         ```python
         import cv2

docs/en/guides/queue-management.md

@@ -35,7 +35,20 @@ Queue management using [Ultralytics YOLO11](https://github.com/ultralytics/ultra
 
 !!! example "Queue Management using YOLO11 Example"
 
-    === "Queue Manager"
+    === "CLI"
+
+        ```bash
+        # Run a queue example
+        yolo solutions queue show=True
+
+        # Pass a source video
+        yolo solutions queue source="path/to/video/file.mp4"
+
+        # Pass queue coordinates
+        yolo solutions queue region=[(20, 400), (1080, 404), (1080, 360), (20, 360)]
+        ```
+
+    === "Python"
 
         ```python
         import cv2

docs/en/guides/speed-estimation.md

@@ -40,7 +40,20 @@ keywords: Ultralytics YOLO11, speed estimation, object tracking, computer vision
 
 !!! example "Speed Estimation using YOLO11 Example"
 
-    === "Speed Estimation"
+    === "CLI"
+
+        ```bash
+        # Run a speed example
+        yolo solutions speed show=True
+
+        # Pass a source video
+        yolo solutions speed source="path/to/video/file.mp4"
+
+        # Pass region coordinates
+        yolo solutions speed region=[(20, 400), (1080, 404), (1080, 360), (20, 360)]
+        ```
+
+    === "Python"
 
         ```python
         import cv2

docs/en/guides/workouts-monitoring.md

@@ -36,7 +36,20 @@ Monitoring workouts through pose estimation with [Ultralytics YOLO11](https://gi
 
 !!! example "Workouts Monitoring Example"
 
-    === "Workouts Monitoring"
+    === "CLI"
+
+        ```bash
+        # Run a workout example
+        yolo solutions workout show=True
+
+        # Pass a source video
+        yolo solutions workout source="path/to/video/file.mp4"
+
+        # Use keypoints for pushups
+        yolo solutions queue kpts=[6, 8, 10]
+        ```
+
+    === "Python"
 
         ```python
         import cv2