用python动态识别aruco码

要在Python中动态识别ArUco码，可以使用OpenCV库。以下是一个简单的示例代码，可以识别并在摄像头视频流中显示ArUco码的ID：

import cv2
import cv2.aruco as aruco

# Initialize the camera
cap = cv2.VideoCapture(0)

# Create the ArUco dictionary
aruco_dict = aruco.Dictionary_get(aruco.DICT_6X6_250)

# Create the ArUco parameters
aruco_params = aruco.DetectorParameters_create()

while True:
    # Read a frame from the camera
    ret, frame = cap.read()

    # Detect the ArUco markers in the frame
    corners, ids, rejected = aruco.detectMarkers(frame, aruco_dict, parameters=aruco_params)

    # Draw the detected markers and IDs on the frame
    if ids is not None:
        aruco.drawDetectedMarkers(frame, corners, ids)
        for i in range(len(ids)):
            cv2.putText(frame, str(ids[i]), tuple(corners[i][0][0]), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)

    # Show the frame
    cv2.imshow('frame', frame)

    # Exit the program if 'q' is pressed
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# Release the camera and close the window
cap.release()
cv2.destroyAllWindows()

此代码使用摄像头读取视频流，并在每个帧中检测ArUco码。如果检测到码，它将在帧上绘制标记和ID。按“q”键退出程序。