`ultralytics 8.3.3` update Streamlit app to YOLO11 (#16590)

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

ultralytics/__init__.py

@@ -1,6 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 
-__version__ = "8.3.2"
+__version__ = "8.3.3"
 
 import os
 

ultralytics/solutions/streamlit_inference.py

@@ -23,13 +23,13 @@ def inference(model=None):
     # Main title of streamlit application
     main_title_cfg = """<div><h1 style="color:#FF64DA; text-align:center; font-size:40px; 
                              font-family: 'Archivo', sans-serif; margin-top:-50px;margin-bottom:20px;">
-                    Ultralytics YOLOv8 Streamlit Application
+                    Ultralytics YOLO Streamlit Application
                     </h1></div>"""
 
     # Subtitle of streamlit application
     sub_title_cfg = """<div><h4 style="color:#042AFF; text-align:center; 
                     font-family: 'Archivo', sans-serif; margin-top:-15px; margin-bottom:50px;">
-                    Experience real-time object detection on your webcam with the power of Ultralytics YOLOv8! 🚀</h4>
+                    Experience real-time object detection on your webcam with the power of Ultralytics YOLO! 🚀</h4>
                     </div>"""
 
     # Set html page configuration
@@ -67,7 +67,7 @@ def inference(model=None):
         vid_file_name = 0
 
     # Add dropdown menu for model selection
-    available_models = [x.replace("yolo", "YOLO") for x in GITHUB_ASSETS_STEMS if x.startswith("yolov8")]
+    available_models = [x.replace("yolo", "YOLO") for x in GITHUB_ASSETS_STEMS if x.startswith("yolo11")]
     if model:
         available_models.insert(0, model.split(".pt")[0])  # insert model without suffix as *.pt is added later
 

ultralytics/utils/plotting.py

@@ -591,8 +591,8 @@ class Annotator:
         Args:
             label (str): queue counts label
             points (tuple): region points for center point calculation to display text
-            region_color (RGB): queue region color
+            region_color (tuple): RGB queue region color.
-            txt_color (RGB): text display color
+            txt_color (tuple): RGB text display color.
         """
         x_values = [point[0] for point in points]
         y_values = [point[1] for point in points]
@@ -631,8 +631,8 @@ class Annotator:
         Args:
             im0 (ndarray): inference image
             text (str): object/class name
-            txt_color (bgr color): display color for text foreground
+            txt_color (tuple): display color for text foreground
-            bg_color (bgr color): display color for text background
+            bg_color (tuple): display color for text background
             x_center (float): x position center point for bounding box
             y_center (float): y position center point for bounding box
             margin (int): gap between text and rectangle for better display
@@ -655,8 +655,8 @@ class Annotator:
         Args:
             im0 (ndarray): inference image
             text (dict): labels dictionary
-            txt_color (bgr color): display color for text foreground
+            txt_color (tuple): display color for text foreground
-            bg_color (bgr color): display color for text background
+            bg_color (tuple): display color for text background
             margin (int): gap between text and rectangle for better display
         """
         horizontal_gap = int(im0.shape[1] * 0.02)
@@ -836,8 +836,8 @@ class Annotator:
         Args:
             pixels_distance (float): Pixels distance between two bbox centroids.
             centroids (list): Bounding box centroids data.
-            line_color (RGB): Distance line color.
+            line_color (tuple): RGB distance line color.
-            centroid_color (RGB): Bounding box centroid color.
+            centroid_color (tuple): RGB bounding box centroid color.
         """
         # Get the text size
         (text_width_m, text_height_m), _ = cv2.getTextSize(