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Reformat Markdown code blocks (#12795)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn Jocher 2024-05-18 18:58:06 +02:00 • committed by GitHub
parent 2af71d15a6
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128 changed files with 1067 additions and 1018 deletions
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78
docs/en/guides/queue-management.md
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@ -29,39 +29,40 @@ Queue management using [Ultralytics YOLOv8](https://github.com/ultralytics/ultra
```python
import cv2
from ultralytics import YOLO, solutions
model = YOLO("yolov8n.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))
video_writer = cv2.VideoWriter("queue_management.avi", cv2.VideoWriter_fourcc(*'mp4v'), fps, (w, h))
video_writer = cv2.VideoWriter("queue_management.avi", cv2.VideoWriter_fourcc(*"mp4v"), fps, (w, h))
queue_region = [(20, 400), (1080, 404), (1080, 360), (20, 360)]
queue = solutions.QueueManager(classes_names=model.names,
reg_pts=queue_region,
line_thickness=3,
fontsize=1.0,
region_color=(255, 144, 31))
queue = solutions.QueueManager(
classes_names=model.names,
reg_pts=queue_region,
line_thickness=3,
fontsize=1.0,
region_color=(255, 144, 31),
)
while cap.isOpened():
success, im0 = cap.read()
if success:
tracks = model.track(im0, show=False, persist=True,
verbose=False)
tracks = model.track(im0, show=False, persist=True, verbose=False)
out = queue.process_queue(im0, tracks)
video_writer.write(im0)
if cv2.waitKey(1) & 0xFF == ord('q'):
if cv2.waitKey(1) & 0xFF == ord("q"):
break
continue
print("Video frame is empty or video processing has been successfully completed.")
break
cap.release()
cv2.destroyAllWindows()
```
@ -71,39 +72,40 @@ Queue management using [Ultralytics YOLOv8](https://github.com/ultralytics/ultra
```python
import cv2
from ultralytics import YOLO, solutions
model = YOLO("yolov8n.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))
video_writer = cv2.VideoWriter("queue_management.avi", cv2.VideoWriter_fourcc(*'mp4v'), fps, (w, h))
video_writer = cv2.VideoWriter("queue_management.avi", cv2.VideoWriter_fourcc(*"mp4v"), fps, (w, h))
queue_region = [(20, 400), (1080, 404), (1080, 360), (20, 360)]
queue = solutions.QueueManager(classes_names=model.names,
reg_pts=queue_region,
line_thickness=3,
fontsize=1.0,
region_color=(255, 144, 31))
queue = solutions.QueueManager(
classes_names=model.names,
reg_pts=queue_region,
line_thickness=3,
fontsize=1.0,
region_color=(255, 144, 31),
)
while cap.isOpened():
success, im0 = cap.read()
if success:
tracks = model.track(im0, show=False, persist=True,
verbose=False, classes=0) # Only person class
tracks = model.track(im0, show=False, persist=True, verbose=False, classes=0) # Only person class
out = queue.process_queue(im0, tracks)
video_writer.write(im0)
if cv2.waitKey(1) & 0xFF == ord('q'):
if cv2.waitKey(1) & 0xFF == ord("q"):
break
continue
print("Video frame is empty or video processing has been successfully completed.")
break
cap.release()
cv2.destroyAllWindows()
```