手势识别

  1. 安装 相关识别包 mediapipe
python3 -m pip install mediapipe

此命令类似pip3 install mediapipe

  1. 参考代码
import cv2
import mediapipe as mp

# 初始化手部检测模型
mp_hands = mp.solutions.hands
hands = mp_hands.Hands()
mp_draw = mp.solutions.drawing_utils

# 捕捉视频帧
cap = cv2.VideoCapture(0)
while True:
    success, img = cap.read()
    if not success:
        break

    # 将图像从BGR转换为RGB
    img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)

    # 处理图像，检测手部
    results = hands.process(img_rgb)

    # 绘制手部关键点
    if results.multi_hand_landmarks:
        for hand_landmarks in results.multi_hand_landmarks:
            mp_draw.draw_landmarks(img, hand_landmarks, mp_hands.HAND_CONNECTIONS)

    # 显示结果
    cv2.imshow("Image", img)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()
  1. 效果如下：