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data_col.py
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data_col.py
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import cv2
import os
import mysql.connector as sq
import authenticator
auth_data = authenticator.read()
uid = auth_data[0]
password = auth_data[1]
db=sq.connect(host='localhost',user=uid,passwd=password',database='farec')
cursor=db.cursor()
cam = cv2.VideoCapture(0)
cam.set(3, 640) # set video width
cam.set(4, 480) # set video height
face_detector = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
face_id = input('\n Enter your FaRec ID: ')
que='select name from record where farec_id ={};'.format(face_id)
exe1=cursor.execute(que)
name_list=cursor.fetchone()
for i in name_list:
name=i
print(name)
print("\nInitializing face capture. Look the camera and wait ...")
count = 0
# Start detect your face and take 30 pictures
while(True):
ret, img = cam.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_detector.detectMultiScale(gray, 1.3, 5)
for (x,y,w,h) in faces:
cv2.rectangle(img, (x,y), (x+w,y+h), (255,0,0), 2)
count += 1
cv2.imwrite("dataset/User." + str(face_id) + '.' + str(name) + '.' + str(count) + ".jpg", gray[y:y+h,x:x+w])
cv2.imshow('image', img)
k = cv2.waitKey(100) & 0xff # Press 'ESC' for exiting video
if k == 27:
break
elif count >= 30:
break
print("\nExiting Program and cleanup stuff")
cam.release()
cv2.destroyAllWindows()