main.py

import cv2
import numpy as np
import mysql.connector
import os

conn = mysql.connector.connect(
    host='localhost',
    user='root',
    password='',
    database='facialsketch'
)

if not os.path.exists('./dataset/'):
    os.makedirs('./dataset/')

c = conn.cursor()

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
cap = cv2.VideoCapture(0)

uname = [input('Enter you name: ')]
c.execute('INSERT INTO users (name) VALUES (%s)', uname)
uid = c.lastrowid
sampleNum = 0
while True:
    ret, img = cap.read()
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, 1.3, 5)
    for (x, y, w, h) in faces:
        sampleNum = sampleNum + 1
        cv2.imwrite("dataset/User." + str(uid) + "." + str(sampleNum) + ".jpg", gray[y:y + h, x:x + w])
        padding = 10
        cv2.rectangle(img, (x - padding, y - padding), (x + w + padding, y + h + padding), (255, 0, 0), 2)
        cv2.waitKey(100)
    cv2.imshow('img', img)
    cv2.waitKey(1)
    if sampleNum >= 20:
        break
cap.release()
conn.commit()
conn.close()
cv2.destroyAllWindows()