How could I use VIDEO mode on gesture recognizer? about mediapipe-samples HOT 1 CLOSED

  # STEP 2: Create an GestureRecognizer object.
  VisionRunningMode = mp.tasks.vision.RunningMode
  base_options = python.BaseOptions(model_asset_path='gesture_recognizer.task')
  options = vision.GestureRecognizerOptions(base_options=base_options, running_mode=VisionRunningMode.VIDEO )
  recognizer = vision.GestureRecognizer.create_from_options(options)

  results = []
  cap = cv2.VideoCapture(video_file_path)
  fps = cv2.CAP_PROP_FPS
  calc_timestamps = [0.0]

  res_landmark = []
  res_not_found_count = 0
  
  ret = True
  while ret:
    ret, img = cap.read() # read one frame from the 'capture' object; img is (H, W, C)
    if ret:      
      ts = cap.get(cv2.CAP_PROP_POS_MSEC)      
      cts = calc_timestamps[-1] + 1000/fps
      #print(abs(ts-cts))
      recognition_result =recognizer.recognize_for_video( mp.Image(image_format=ImageFormat.SRGB, data=img), int(ts))
      
      try : 
        top_gesture = recognition_result.gestures[0][0]
        
        hand_landmarks = top_gesture.category_name
        #print(hand_landmarks)
        results.append(top_gesture)
        res_landmark.append(hand_landmarks)
      except IndexError: 
        res_landmark.append('-')
        res_not_found_count += 1
        continue 
        
      
  cap.release()
  cv2.destroyAllWindows