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PyCharm Code and Docs Inspect fixes v1 (#18461)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Ultralytics Assistant <135830346+UltralyticsAssistant@users.noreply.github.com>
Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Muhammad Rizwan Munawar 2025-01-03 01:16:18 +05:00 • committed by GitHub
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commit 7f1a50e893
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2
examples/YOLOv8-Region-Counter/readme.md
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@ -80,7 +80,7 @@ Region counting is a computational method utilized to ascertain the quantity of
**2. Is Friendly Region Plotting Supported by the Region Counter?**
The Region Counter offers the capability to create regions in various formats, such as polygons and rectangles. You have the flexibility to modify region attributes, including coordinates, colors, and other details, as demonstrated in the following code:
The Region Counting offers the capability to create regions in various formats, such as polygons and rectangles. You have the flexibility to modify region attributes, including coordinates, colors, and other details, as demonstrated in the following code:
```python
from shapely.geometry import Polygon

4
examples/YOLOv8-Region-Counter/yolov8_region_counter.py
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@ -185,7 +185,7 @@ def run(
region_color = region["region_color"]
region_text_color = region["text_color"]
polygon_coords = np.array(region["polygon"].exterior.coords, dtype=np.int32)
polygon_coordinates = np.array(region["polygon"].exterior.coords, dtype=np.int32)
centroid_x, centroid_y = int(region["polygon"].centroid.x), int(region["polygon"].centroid.y)
text_size, _ = cv2.getTextSize(
@ -203,7 +203,7 @@ def run(
cv2.putText(
frame, region_label, (text_x, text_y), cv2.FONT_HERSHEY_SIMPLEX, 0.7, region_text_color, line_thickness
)
cv2.polylines(frame, [polygon_coords], isClosed=True, color=region_color, thickness=region_thickness)
cv2.polylines(frame, [polygon_coordinates], isClosed=True, color=region_color, thickness=region_thickness)
if view_img:
if vid_frame_count == 1: