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ultralytics 8.3.3 update Streamlit app to YOLO11 (#16590)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Muhammad Rizwan Munawar 2024-10-02 03:17:23 +05:00 • committed by GitHub
parent abb87c09c6
commit f5a491cd45
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3 changed files with 12 additions and 12 deletions
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16
ultralytics/utils/plotting.py
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@ -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
txt_color (RGB): text display color
region_color (tuple): RGB queue region 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
bg_color (bgr color): display color for text background
txt_color (tuple): display color for text foreground
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
bg_color (bgr color): display color for text background
txt_color (tuple): display color for text foreground
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.
centroid_color (RGB): Bounding box centroid color.
line_color (tuple): RGB distance line color.
centroid_color (tuple): RGB bounding box centroid color.
"""
# Get the text size
(text_width_m, text_height_m), _ = cv2.getTextSize(