swadhin / aegisvision public

update

swadhinbiswas committed 2 years ago
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Showing 20 changed files+91-18
README.mdbackend/app/admin/handelars.pybackend/app/admin/pathtest.pybackend/app/functions/encodeGenarator.pybackend/app/functions/face.pybackend/app/functions/getfacefromdatabackend/app/functions/getfacefromdatabase.pybackend/app/functions/pictures/222156097.jpgbackend/app/functions/pictures/222156097.pngbackend/app/functions/pictures/222156116.jpgbackend/app/functions/pictures/222156116.pngbackend/app/functions/pictures/222156259.jpegbackend/app/functions/pictures/222156288.jpegbackend/app/functions/pictures/222156288.pngbackend/app/functions/videoapp.pyphotos/-video-to-gif-converter.gifphotos/7e0564ae-d663-4e04-846e-f30670b649e2.jpegphotos/85498505-6ff1-4110-b67c-bac030223467.jpegphotos/faceaoo.jpegphotos/faceapp.gif
▼README.md
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@@ -40,3 +40,41 @@ Covers Modules:
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### Login Page
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![LoginPage](photos/loginpage.gif)
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+
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+
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+### BackEnd
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+- ### Face recognition
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+- ### Anti-Spoofing
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+- ### FastAPI
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+- ### Firebase[As realtime Database]
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+
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+## Backend Stracture
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+![ImageBackend](photos/faceaoo.jpeg)
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+
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+## working process of Face recognition
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+### [How the Face Recognition Work using deeplearning ](https://medium.com/@ageitgey/machine-learning-is-fun-part-4-modern-face-recognition-with-deep-learning-c3cffc121d78)
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+![faceapp](photos/faceapp.gif)
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+
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+
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+## Antispoofing
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+
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+### [How to antispoofing work ](https://github.com/minivision-ai/Silent-Face-Anti-Spoofing)
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+![Anti spoofing](photos/85498505-6ff1-4110-b67c-bac030223467.jpeg)
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+### example:
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+![example](photos/-video-to-gif-converter.gif)
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+
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+# Work Flow
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+ ✅ EncodeFace ✅ Database Connection ✅ Upload encode Picture to Database ✅Setup plugins ✅Fontend ✅ Building API ✅ Authentication ✅ RealtimeDatabase Sync ❌ Connect Backend With Fontend ❌ Deploy App
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▼backend/app/admin/handelars.py
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@@ -83,8 +83,5 @@ async def uploadimage(img:UploadFile=File(...)):
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file.close()
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▼backend/app/admin/pathtest.py
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-import os
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-
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▼backend/app/functions/encodeGenarator.py
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@@ -6,11 +6,6 @@ import asyncio
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from app.settings.connectdb import Firebase
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class EndcodeGenarator:
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def __init__(self):
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self.known_face_encodings = []
@@ -23,18 +18,13 @@ class EndcodeGenarator:
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self.bucket = Firebase().bucket
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self.idsref = Firebase().idsref
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- async def findencoding(self):
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+ def findencoding(self):
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imageList=self.pathlist
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for img in imageList:
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- bucket=self.bucket
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ref=self.ref
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- if not bucket.get_blob(f"faceappimage/{img}"):
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- with open(f"{self.imagepath}/{img}","rb") as file:
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- bucket.blob(f"faceappimage/{img}").upload_from_file(file)
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id=img.split(".")[0]
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self.studentids.append(id)
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if not ref.child(id).get():
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- if img.endswith(".jpg") or img.endswith(".png") or img.endswith(".jpeg"):
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cv2img=cv2.imread(f"{self.imagepath}/{img}")
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img=cv2.cvtColor(cv2img,cv2.COLOR_BGR2RGB)
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encode=face_recognition.face_encodings(img)[0]
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▼backend/app/functions/face.py
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@@ -5,7 +5,7 @@ import numpy as np
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from face_recognition import face_locations, face_encodings, compare_faces, face_distance
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-class Face:
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+class Face():
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def __init__(self,frame):
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self.frame=frame
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self.ids=[]
@@ -43,7 +43,17 @@ class Face:
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cv2.putText(frame,"Unknown",(x1+6,y2-6),cv2.FONT_HERSHEY_COMPLEX,1,(255,255,255),2)
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return frame
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-
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+ def get_student_id(self):
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+ return self.ids
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+
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+
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+# class Ids(Face):
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+# def __init__(self):
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+# super().__init__(frame)
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+# self.ids=[]
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+
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+# def getstudentid(self):
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+# return self.ids
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▼backend/app/functions/getfacefromdata
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▼backend/app/functions/getfacefromdatabase.py
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+from app.settings.connectdb import Firebase
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+# from app.functions.face import Ids
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+
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+
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+
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+class GetgaceandData:
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+ def __init__(self):
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+ self.ref=Firebase().ref
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+ # self.id=Ids().id
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+ self.idsref=Firebase().idsref
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+ self.bucket=Firebase().bucket
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+ def get_data_by_key(self):
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+ return self.ref.child(self.id).get()
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+ def get_picture(self):
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+ return self.bucket.get_blob(f"faceappimage/{self.id}")
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+
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+ def get_data_by_child(self):
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+ return self.ref.order_by_child("status").equal_to("Present").get()
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▼backend/app/functions/pictures/222156097.jpg
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▼backend/app/functions/videoapp.py
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@@ -5,6 +5,7 @@ from fastapi.responses import StreamingResponse
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from app.functions.face import Face
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import streamlit as st
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from app.functions.encodeGenarator import EndcodeGenarator
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+from app.functions.getfacefromdatabase import GetgaceandData
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# from app.settings import setting
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# camip=setting.CAM_IP
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camip="192.168.0.103"
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success, img = cap.read()
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x=Face(img)
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frame=x.facedefine()
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+ y=x.get_student_id()
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if not success:
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break
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ret, buffer = cv2.imencode('.jpg', frame)
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frame = buffer.tobytes()
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yield (b'--frame\r\n'
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b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n')
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+ return y
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def video():
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return st.markdown(f'<iframe width="560" height="315" src="http://{camip}:3030/video" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>', unsafe_allow_html=True)
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+@videorouter.get("/genarateface")
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+def genarateface():
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+ x=EndcodeGenarator()
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+ y= x.findencoding()
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+ return y
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+
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+@videorouter.get("/getstudentsphotos")
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+async def getstudentsphotos():
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+ x=GetgaceandData().get_picture()
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+ return x
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+
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+@videorouter.get("/getstudentsdata")
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+async def getstudentsdata():
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+ x=GetgaceandData().get_data_by_key()
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+ return x
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+
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▼photos/-video-to-gif-converter.gif
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