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Add OBB Counting example in Docs (#16485)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Muhammad Rizwan Munawar 2024-09-25 18:12:08 +05:00 • committed by GitHub
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43
docs/en/guides/object-counting.md
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@ -90,6 +90,46 @@ Object counting with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
cv2.destroyAllWindows()
```
=== "OBB Object Counting"
```python
import cv2
from ultralytics import YOLO, solutions
model = YOLO("yolov8n-obb.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))
# Define region points
region_points = [(20, 400), (1080, 404), (1080, 360), (20, 360)]
# Video writer
video_writer = cv2.VideoWriter("object_counting_output.avi", cv2.VideoWriter_fourcc(*"mp4v"), fps, (w, h))
# Init Object Counter
counter = solutions.ObjectCounter(
view_img=True,
reg_pts=region_points,
names=model.names,
line_thickness=2,
)
while cap.isOpened():
success, im0 = cap.read()
if not success:
print("Video frame is empty or video processing has been successfully completed.")
break
tracks = model.track(im0, persist=True, show=False)
im0 = counter.start_counting(im0, tracks)
video_writer.write(im0)
cap.release()
video_writer.release()
cv2.destroyAllWindows()
```
=== "Count in Polygon"
```python
@ -123,7 +163,6 @@ Object counting with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
print("Video frame is empty or video processing has been successfully completed.")
break
tracks = model.track(im0, persist=True, show=False)
im0 = counter.start_counting(im0, tracks)
video_writer.write(im0)
@ -165,7 +204,6 @@ Object counting with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
print("Video frame is empty or video processing has been successfully completed.")
break
tracks = model.track(im0, persist=True, show=False)
im0 = counter.start_counting(im0, tracks)
video_writer.write(im0)
@ -207,7 +245,6 @@ Object counting with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
print("Video frame is empty or video processing has been successfully completed.")
break
tracks = model.track(im0, persist=True, show=False, classes=classes_to_count)
im0 = counter.start_counting(im0, tracks)
video_writer.write(im0)