疲劳检测代码

以下是一个简单的基于眼睛疲劳检测的示例代码：

import cv2
import dlib
import numpy as np
from scipy.spatial import distance as dist

def eye_aspect_ratio(eye):
    A = dist.euclidean(eye[1], eye[5])
    B = dist.euclidean(eye[2], eye[4])
    C = dist.euclidean(eye[0], eye[3])
    ear = (A + B) / (2.0 * C)
    return ear

thresh = 0.25
frame_check = 20
detect = dlib.get_frontal_face_detector()
predict = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat") # 人脸特征点检测器

(lStart, lEnd) = (42, 48)
(rStart, rEnd) = (36, 42)
 
cap=cv2.VideoCapture(0)
flag=0
while True:
    ret, frame=cap.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    subjects = detect(gray, 0)
    for subject in subjects:
        shape = predict(gray, subject)
        shape = np.matrix([[p.x, p.y] for p in shape.parts()])
        leftEye = shape[lStart:lEnd]
        rightEye = shape[rStart:rEnd]
        l_ear = eye_aspect_ratio(leftEye)
        r_ear = eye_aspect_ratio(rightEye)
        ear = (l_ear + r_ear) / 2.0
        leftEyeHull = cv2.convexHull(leftEye)
        rightEyeHull = cv2.convexHull(rightEye)
        cv2.drawContours(frame, [leftEyeHull], -1, (0, 255, 0), 1)
        cv2.drawContours(frame, [rightEyeHull], -1, (0, 255, 0), 1)
        if ear < thresh:
            flag += 1
            print (flag)
            if flag >= frame_check:
                cv2.putText(frame, "****************ALERT!****************", (10, 30),
                    cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
                cv2.putText(frame, "****************ALERT!****************", (10,325),
                    cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
        else:
            flag = 0
    cv2.imshow("Frame", frame)
    key = cv2.waitKey(1) & 0xFF
    if key == ord("q"):
        break
cv2.destroyAllWindows()
cap.stop()

这个代码使用了dlib库中的人脸特征点检测器来检测眼睛位置和状态，通过计算眼睛长宽比（EAR）来检测眼睛疲劳程度，并在连续一段时间内检测到眼睛闭合时触发警报。