yolov8启用摄像头

要使用 YOLOv8 模型启用摄像头，您需要安装 OpenCV 库并编写一些 Python 代码。

以下是一个简单的 Python 代码示例，可用于使用 YOLOv8 模型从摄像头捕获视频并检测物体：

import cv2
import numpy as np
import time
from yolov8 import YOLOv8

# Load YOLOv8 model
yolo = YOLOv8()

# Open camera
cap = cv2.VideoCapture(0)

while True:
    # Capture frame-by-frame
    ret, frame = cap.read()

    if ret:
        # Run object detection
        start_time = time.time()
        boxes, confidences, class_ids = yolo.detect(frame)
        end_time = time.time()
        print("Inference time: {:.2f} ms".format((end_time - start_time) * 1000))

        # Draw boxes and labels on the frame
        for i in range(len(boxes)):
            x, y, w, h = boxes[i]
            label = yolo.class_names[class_ids[i]]
            cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
            cv2.putText(frame, label, (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)

        # Display the resulting frame
        cv2.imshow('frame', frame)

        # Press 'q' to quit
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break

# Release the capture
cap.release()
cv2.destroyAllWindows()

此代码使用 YOLOv8 模型从摄像头捕获视频并检测物体。在每个帧上运行对象检测时，它会绘制边框和标签，并在屏幕上显示帧。按 'q' 键退出。