import cv2

import numpy as np

# 加载人脸检测器

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

def login():

cap = cv2.VideoCapture(0)

while True:

ret, frame = cap.read()

gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

faces = face_cascade.detectMultiScale(gray, 1.1, 4)

for (x, y, w, h) in faces:

cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)

if len(faces) > 0:

print("Login successful!")

break

cv2.imshow('Login', frame)

if cv2.waitKey(1) & 0xFF == ord('q'):

break

cap.release()

cv2.destroyAllWindows()

login()

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import pandas as pd

# 加载数据

df = pd.read_csv('student_data.csv')

# 数据清洗

df.dropna(inplace=True)

# 描述性统计

print(df.describe())

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