Update app.py

app.py

@@ -38,29 +38,28 @@ def Attandance(text,video,image):
       index=1
       while True:
           try:
-            if framecount%100==0:
-                ret, frame = cap.read()
-                #faces = cv2.resize(frame, (0, 0), None, 0.25, 0.25)
-                faces = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
-        
-                facesCurrentFrame = face_recognition.face_locations(faces)
-                encodesCurrentFrame = face_recognition.face_encodings(faces, facesCurrentFrame)
-        
-                for encodeFace, faceLoc in zip(encodesCurrentFrame, facesCurrentFrame):
-                    matches = face_recognition.compare_faces(encodeListKnown, encodeFace)
-                    faceDis = face_recognition.face_distance(encodeListKnown, encodeFace)
-                    # print(faceDis)
-                    matchIndex = np.argmin(faceDis)
-        
-                    if matches[matchIndex]:
-                        name = personNames[matchIndex].upper()    
-                        if names.count(name) == 0:
-                            names.append(name)
-        
+            if framecount>4:
+
             else:
                 framecount=framecount+1
-                continue
-
+            ret, frame = cap.read()
+            #faces = cv2.resize(frame, (0, 0), None, 0.25, 0.25)
+            faces = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+    
+            facesCurrentFrame = face_recognition.face_locations(faces)
+            encodesCurrentFrame = face_recognition.face_encodings(faces, facesCurrentFrame)
+    
+            for encodeFace, faceLoc in zip(encodesCurrentFrame, facesCurrentFrame):
+                matches = face_recognition.compare_faces(encodeListKnown, encodeFace)
+                faceDis = face_recognition.face_distance(encodeListKnown, encodeFace)
+                # print(faceDis)
+                matchIndex = np.argmin(faceDis)
+    
+                if matches[matchIndex]:
+                    name = personNames[matchIndex].upper()    
+                    if names.count(name) == 0:
+                        names.append(name)
+        
             cv2.waitKey(1)
           except:
               break