Update app.py

app.py

@@ -90,15 +90,15 @@ def receive_image(image):
         # csv_writer = csv.writer(csv_file)
         small_frame = cv2.resize(image, (0, 0), fx=0.25, fy=0.25)
         rgb_small_frame = small_frame[:, :, ::-1]
-        emit("result",{"name":"level " +str(cnt),"score":str(len(face_encodings))})
-        emit("result",{"name":"level1","score":"34"})
+        # emit("result",{"name":"level " +str(cnt),"score":str(len(face_encodings))})
+        # emit("result",{"name":"level1","score":"34"})
         face_locations = face_recognition.face_locations(rgb_small_frame)
         face_encodings = face_recognition.face_encodings(small_frame, face_locations)
         face_names = []
-        emit("result",{"name":"level2 " +str(cnt),"score":str(len(face_encodings))})
+        # emit("result",{"name":"level2 " +str(cnt),"score":str(len(face_encodings))})
         cnt = cnt +1
         for face_encoding in face_encodings:
-            emit("result",{"name":"in for ","score":"34"})
+            # emit("result",{"name":"in for ","score":"34"})
             matches = face_recognition.compare_faces(known_face_encodings, face_encoding)
             name = ""
             face_distance = face_recognition.face_distance(known_face_encodings, face_encoding)