静态手势识别新年活动

import cv2
import numpy as np

# 加载预训练的手势分类器
hand_cascade = cv2.CascadeClassifier('path_to_haarcascade_hand.xml')

def detect_gesture(image):
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    hands = hand_cascade.detectMultiScale(gray, 1.3, 5)
    
    for (x, y, w, h) in hands:
        roi_gray = gray[y:y+h, x:x+w]
        roi_color = image[y:y+h, x:x+w]
        # 这里可以添加更多的手势识别逻辑
        
        cv2.rectangle(image, (x, y), (x+w, y+h), (255, 0, 0), 2)
    
    return image

# 主程序
cap = cv2.VideoCapture(0)
while True:
    ret, frame = cap.read()
    if not ret:
        break
    
    frame = detect_gesture(frame)
    
    cv2.imshow('Gesture Recognition', frame)
    
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()