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Copy pathEncodeGenerator.py
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55 lines (45 loc) · 1.43 KB
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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://attendance-system-real-time-default-rtdb.firebaseio.com/",
"storageBucket" : "attendance-system-real-time.appspot.com"
})
#importing 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) :
encodesList = []
for img in imagesList :
img = cv2.cvtColor(img , cv2.COLOR_BGR2RGB)
encode = face_recognition.face_encodings(img)[0]
encodesList.append(encode)
return encodesList
print("Encoding started ...")
encodeListknown = findEncodings(imgList)
encodeListknownWithIds = [encodeListknown , studentIds]
#print(encodeListknown)
print("Encoding complete")
file = open("EncodeFile.p" , 'wb')
pickle.dump(encodeListknownWithIds , file)
file.close()
print("File saved")