使用python 写一段mediapipe手势识别判断左右手的代码

好的，以下是一段使用Python和Mediapipe库实现手势识别并判断左右手的代码：

import cv2
import mediapipe as mp

mp_drawing = mp.solutions.drawing_utils
mp_hands = mp.solutions.hands

# 初始化视频捕获
cap = cv2.VideoCapture(0)

# 初始化手部检测器
with mp_hands.Hands(
    min_detection_confidence=0.5,
    min_tracking_confidence=0.5) as hands:

    while cap.isOpened():
        # 读取视频帧
        success, image = cap.read()
        if not success:
            print("无法读取视频帧")
            break

        # 调整图像以适应手部检测器的输入要求
        image = cv2.flip(image, 1)
        image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)

        # 运行手部检测器
        results = hands.process(image)

        # 绘制手部关键点和连接线
        image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
        if results.multi_hand_landmarks:
            for hand_landmarks in results.multi_hand_landmarks:
                mp_drawing.draw_landmarks(
                    image, hand_landmarks, mp_hands.HAND_CONNECTIONS)

            # 判断左右手
            if results.multi_handedness:
                for hand in results.multi_handedness:
                    if hand.classification[0].label == "Left":
                        print("左手")
                    else:
                        print("右手")

        # 显示输出图像
        cv2.imshow("MediaPipe Hands", image)

        # 按下q键退出循环
        if cv2.waitKey(5) & 0xFF == ord("q"):
            break

# 释放资源
cap.release()
cv2.destroyAllWindows()

注意：在运行此代码之前需要先安装好Mediapipe库以及其依赖项，并且需要连接摄像头。