Update app.py

app.py

@@ -10,9 +10,62 @@ def greet(video):
     images = []
     classNames = []
     myList = os.listdir(path)
+    print(myList)
+    for cl in myList
+        curImg = cv2.imread(f'{path}/{cl}')
+        images.append(curImg)
+        classNames.append(os.path.splitext(cl)[0])
+    print(classNames)  
+    
+    def findEncoding(images):
+        encodeList = []
+        for img in images:
+            img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+            encode = face_recognition.face_encodings(img)[0]
+            encodeList.append(encode)
+        return encodeList
+
+    def markAttendance(name):
+        with open('Attendance.csv','r+') as f:
+            myDataList = f.readlines()
+            nameList = []
+            for line in myDataList:
+                entry = line.split(',')
+                nameList.append(entry[0])
+            if name not in nameList:
+                now = datetime.now()
+                dtString = now.strftime('%H:%M:%S')
+                f.writelinbes(f'\n{name},{dtString}')
+    encodeListKnown = findEncodings(images)
+    print('Encoding Complete')
+                                                 
     cap = cv2.VideoCapture(video)
+    
+    while True:
     succes, img = cap.read()
-    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+    imgS = cv2.resize(img,(0,0),None,0.25,0.25)
+    imgS = cv2.cvtColor(imgs, cv2.COLOR_BGR2GRAY)
+    
+    facesCurFrame = face:recognition.face_locations(imgS)
+    encodesCurFrame = face_recognition.face_encodings(imgS, facesCurFrame)
+    
+    for encodeFace_faceLoc in zip(encodesCurFrame, facesCurFrame):
+        matches = face_recognition.compare_faces(encodeListKnown,encodeFace)
+        faceDis = face_recognition.face_distance(encodeListKnown,encodeFace) 
+        matchIndex = np.argmin(faceDis)
+     
+    if matches[matchIndex]:
+        name = classNames[matchIndex].upper()
+        y1,x2,y2,x1 = faceLoc
+        y1,x2,y2,x1 = y1*4,x2*4,y2*4,x1*4
+        cv2.rectangle(img,(x1,y1),(x2,y2),(0,255,0),2)
+        cv2.rectangle(img,(x1,y2-35),(x2,y2),(0,255,0),cv2.FILED)
+        cv2.putText(img,name,(x1+6,y2-6),cv2.FONT_HERSHEY_COMPLEX,1,(255,255,255),2)
+        markAttendance(name)        
+    cv2.imshow('Webcam',img)
+    cv2.waitKey(1)
+        
+        
     return gray
     
 iface = gr.Interface(