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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
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56
docs/en/guides/object-counting.md
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@ -53,18 +53,18 @@ Object counting with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
```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))
# 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,
@ -73,17 +73,17 @@ Object counting with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
draw_tracks=True,
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()
@ -94,18 +94,18 @@ Object counting with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
```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))
# Define region points as a polygon with 5 points
region_points = [(20, 400), (1080, 404), (1080, 360), (20, 360), (20, 400)]
# 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,
@ -114,17 +114,17 @@ Object counting with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
draw_tracks=True,
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()
@ -135,18 +135,18 @@ Object counting with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
```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))
# Define line points
line_points = [(20, 400), (1080, 400)]
# 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,
@ -155,17 +155,17 @@ Object counting with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
draw_tracks=True,
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()
@ -176,18 +176,18 @@ Object counting with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
```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))
line_points = [(20, 400), (1080, 400)] # line or region points
classes_to_count = [0, 2] # person and car classes for count
# 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,
@ -196,17 +196,17 @@ Object counting with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
draw_tracks=True,
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, classes=classes_to_count)
im0 = counter.start_counting(im0, tracks)
video_writer.write(im0)
cap.release()
video_writer.release()
cv2.destroyAllWindows()