#coding:utf-8
import cv2
from ultralytics import YOLO

# 所需加载的模型目录
path = 'models/best.pt'

# Load the YOLOv8 model
model = YOLO(path)

ID = 0
while(ID<10):
    cap = cv2.VideoCapture(ID)
    # get a frame
    ret, frame = cap.read()
    if ret == False:
        ID += 1
    else:
        print('摄像头ID:',ID)
        break

# Loop through the video frames
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(1) & 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()