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encodeGenerator.py
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encodeGenerator.py
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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")
firebase_admin.initialize_app(cred,{
'databaseURL': "https://smart-attendance-system-c2a01-default-rtdb.firebaseio.com/",
'storageBucket': "smart-attendance-system-c2a01.appspot.com"
})
# Importing the student images
folderPath = 'Images'
pathList=os.listdir(folderPath) # Gives the list of png files in Modes
imgList=[]
studentIds=[]
# Extracting the Student ids from the images
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(studentIds)
def findEncodings(imagesList):
encodeList=[]
for img in imagesList:
img=cv2.cvtColor(img,cv2.COLOR_BGR2RGB) # Step 1
encode=face_recognition.face_encodings(img)[0] # Step 2
encodeList.append(encode)
return encodeList
print("Encoding Started...")
encodeListKnown=findEncodings(imgList)
# print(encodeListKnown)
encodeListKnownWithIds=[encodeListKnown,studentIds]
print("Encoding Complete")
# Dumping all the encodings corresponding to the student ids in a pickle file
file=open("EncodeFile.p", "wb")
pickle.dump(encodeListKnownWithIds,file)
file.close()
print("File saved")