YOLOv8n 验证

模型下载

https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8n.pt

安装库 ultralytics & opencv

pip install ultralytics opencv-python -i https://pypi.tuna.tsinghua.edu.cn/simple

调用电脑camera验证YOLO模型

from ultralytics import YOLO
import cv2

# 加载模型
model = YOLO('yolov8n.pt')  # 首次运行会自动下载模型（已离线下载，在.py同路径）

# 打开摄像头 (0 代表默认摄像头)
cap = cv2.VideoCapture(0)

# 如果你的摄像头是 USB 2.0 且卡顿，可以尝试强制设置 MJPG 编码[reference:15]
# cap.set(cv2.CAP_PROP_FOURCC, cv2.VideoWriter_fourcc('M', 'J', 'P', 'G'))

while cap.isOpened():
    success, frame = cap.read()
    if not success:
        break

    # 运行 YOLO 检测
    results = model(frame, stream=True)

    for r in results:
        annotated_frame = r.plot()
        cv2.imshow("YOLOv8 实时检测", annotated_frame)

    if cv2.waitKey(1) & 0xFF == ord("q"):
        break

cap.release()
cv2.destroyAllWindows()