指尖识别大促

import cv2
import numpy as np

def detect_fingertips(frame):
    # 转换为灰度图像
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    # 应用高斯模糊
    blurred = cv2.GaussianBlur(gray, (11, 11), 0)
    # 使用Canny边缘检测
    edges = cv2.Canny(blurred, 50, 150)
    # 寻找轮廓
    contours, _ = cv2.findContours(edges, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
    
    fingertips = []
    for contour in contours:
        # 近似轮廓
        epsilon = 0.02 * cv2.arcLength(contour, True)
        approx = cv2.approxPolyDP(contour, epsilon, True)
        if len(approx) == 3:  # 假设指尖为三角形
            fingertips.append(approx[0])
    
    return fingertips

cap = cv2.VideoCapture(0)
while True:
    ret, frame = cap.read()
    if not ret:
        break
    
    fingertips = detect_fingertips(frame)
    for point in fingertips:
        cv2.circle(frame, tuple(point[0]), 5, (0, 255, 0), -1)
    
    cv2.imshow('Fingertip Detection', frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()