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python实现自动手势识别代码

article 2025/3/1 21:57:35

import cv2
import mediapipe as mp

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

初始化mediapipe hands

hands = mp_hands.Hands(
static_image_mode=False,
max_num_hands=2,
min_detection_confidence=0.5,
min_tracking_confidence=0.5
)

开启摄像头

cap = cv2.VideoCapture(0)

while cap.isOpened():
# 读取摄像头图像
success, image = cap.read()
if not success:
print(“Ignoring empty camera frame.”)
continue

# 翻转图像，使其更符合视觉习惯
image = cv2.flip(image, 1)

# 将图像转换为RGB格式，并传给hands.process()函数
results = hands.process(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))

# 检测到手部时，使用mediapipe hands提供的工具绘制关键点和手部连线
if results.multi_hand_landmarks:
    for hand_landmarks in results.multi_hand_landmarks:
        mp_drawing.draw_landmarks(
            image, hand_landmarks, mp_hands.HAND_CONNECTIONS)

# 显示图像
cv2.imshow('MediaPipe Hands', image)

# 按下q键退出程序
if cv2.waitKey(5) & 0xFF == ord('q'):
    break