指尖识别双十二活动

import cv2
import numpy as np

def detect_finger_tips(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:
        # 计算轮廓的凸包
        hull = cv2.convexHull(contour, returnPoints=False)
        defects = cv2.convexityDefects(contour, hull)
        if defects is not None:
            for i in range(defects.shape[0]):
                s, e, f, d = defects[i, 0]
                start = tuple(contour[s][0])
                end = tuple(contour[e][0])
                far = tuple(contour[f][0])
                fingertips.append(far)
    
    return fingertips

# 主程序
cap = cv2.VideoCapture(0)
while True:
    ret, frame = cap.read()
    if not ret:
        break
    fingertips = detect_finger_tips(frame)
    for tip in fingertips:
        cv2.circle(frame, tip, 5, (0, 255, 0), -1)
    cv2.imshow('Finger Tips Detection', frame)
    
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()