opencv-yolov8-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 videosuccess, frame = cap.read()if success:# Run YOLOv8 inference on the frameresults = model(frame)# Visualize the results on the frameannotated_frame = results[0].plot()# Display the annotated framecv2.imshow("YOLOv8 Inference", annotated_frame)# Break the loop if 'q' is pressedif cv2.waitKey(5) & 0xFF == ord("q"):breakelse:# Break the loop if the end of the video is reachedbreak# Release the video capture object and close the display window
cap.release()
cv2.destroyAllWindows()