使用python检测裁剪后的人脸的运动模糊

import cv2
import numpy as np

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
image = cv2.imread('image.jpg')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)

for (x, y, w, h) in faces:
    face_roi = image[y:y+h, x:x+w]
    blur = cv2.Laplacian(face_roi, cv2.CV_64F).var()
    if blur < 100:
        cv2.rectangle(image, (x, y), (x+w, y+h), (0, 0, 255), 2)
        cv2.putText(image, "Blurry", (x, y-10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0, 0, 255), 2)
    else:
        cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)
        cv2.putText(image, "Clear", (x, y-10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0, 255, 0), 2)

cv2.imshow('Result', image)
cv2.waitKey(0)
cv2.destroyAllWindows()