opencv-yolov8-目标检测_yolov8视频流目标检测

import cv2
from ultralytics import YOLO
 
# 模型加载权重
 
model = YOLO('yolov8n.pt')
 
# 视频路径
 
cap = cv2.VideoCapture(0)
 
# 对视频中检测到目标画框标出来
while cap.isOpened():
    # Read a frame from the video
    success, frame = cap.read()
 
    if success:
        # Run YOLOv8 inference on the frame
        results = model(frame)
 
        # Visualize the results on the frame
        annotated_frame = results[0].plot()
 
        # Display the annotated frame
        cv2.imshow("YOLOv8 Inference", annotated_frame)
 
        # Break the loop if 'q' is pressed
        if cv2.waitKey(5) & 0xFF == ord("q"):
            break
    else:
        # Break the loop if the end of the video is reached
        break
 
# Release the video capture object and close the display window
cap.release()
cv2.destroyAllWindows()