人脸识别安全分析

import cv2
import dlib

# 加载人脸检测器和面部标志点预测器
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")

# 初始化眨眼检测参数
EYE_AR_THRESH = 0.25
EYE_AR_CONSEC_FRAMES = 3

# 初始化计数器
COUNTER = 0
TOTAL = 0

cap = cv2.VideoCapture(0)

while True:
    ret, frame = cap.read()
    if not ret:
        break

    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    rects = detector(gray, 0)

    for rect in rects:
        shape = predictor(gray, rect)
        left_eye = shape.part(36)
        right_eye = shape.part(45)

        # 计算眼睛长宽比
        left_eye_ar = (left_eye.x - left_eye.w, left_eye.y + left_eye.h) / (left_eye.x + left_eye.w, left_eye.y)
        right_eye_ar = (right_eye.x - right_eye.w, right_eye.y + right_eye.h) / (right_eye.x + right_eye.w, right_eye.y)

        if left_eye_ar < EYE_AR_THRESH and right_eye_ar < EYE_AR_THRESH:
            COUNTER += 1
        else:
            if COUNTER >= EYE_AR_CONSEC_FRAMES:
                TOTAL += 1
            COUNTER = 0

        cv2.putText(frame, f"Blinks: {TOTAL}", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)

    cv2.imshow("Frame", frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()