双12指尖识别推荐

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_fingers(frame):
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    hands = hand_cascade.detectMultiScale(gray, 1.3, 5)
    
    for (x, y, w, h) in hands:
        cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)
        roi_gray = gray[y:y+h, x:x+w]
        roi_color = frame[y:y+h, x:x+w]
        
        # 进一步处理ROI区域以识别指尖
        # ...

    return frame

cap = cv2.VideoCapture(0)

while True:
    ret, frame = cap.read()
    if not ret:
        break
    
    frame = detect_fingers(frame)
    cv2.imshow('Finger Detection', frame)
    
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()