EncodeGenerator.py

import cv2
import face_recognition
import pickle
import os
import firebase_admin
from firebase_admin import credentials
from firebase_admin import db
from firebase_admin import storage


cred = credentials.Certificate("serviceAccountKey.json") #path of the credential file
firebase_admin.initialize_app(cred,{
    'databaseURL':"#"
})
#importing the student images
folderPath = 'Images'
PathList = os.listdir(folderPath)
print (PathList)
imgList = []
studentIds = []
for path in PathList:
    imgList.append(cv2.imread(os.path.join(folderPath, path)))
    studentIds.append(os.path.splitext(path)[0])

    fileName = f'{folderPath}/{path}'
    bucket = storage.bucket()
    blob = bucket.blob(fileName)
    blob.upload_from_filename(fileName)

    #print(path)
    #print(os.path.splitext(path)[0])
print(studentIds)

def findEncodings(imagesList):
    encodeList = []
    for img in imagesList:
        img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
        encode = face_recognition.face_encodings(img)[0]
        encodeList.append(encode)

    return encodeList

print("Encoding Started...")
encodeListKnown = findEncodings(imgList)
#print(encodeListKnown)
encodeListKnownWithIds = [encodeListKnown, studentIds]
print("Encoding Complete")

file = open("EncodeFile.p",'wb')
pickle.dump(encodeListKnownWithIds, file)
file.close()
print("File Saved")