Update app.py

app.py

@@ -43,27 +43,24 @@ def Attandance(text,video,image):
             if framecount>totalframescount:
                 break
             elif framecount%100==0:
-                pass
-            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)
+                framecount=framecount+1    
+                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: