text: import cv2
  import numpy as np
  
  
  def label_image(in_path, num_frames=540, starting_frame=0):
  
      cap = cv2.VideoCapture('data/' + in_path)
      print(cap.get(cv2.CAP_PROP_FPS))
      for _ in range(starting_frame):
          cap.read()
  
      path, ext = in_path.split('.')
  
      outputs = []
  
      for i in range(num_frames // 15):
  
          for _ in range(14):
              cap.read()
  
          ret, frame = cap.read()
  
          if ret:
  
              cv2.imshow("Video", frame)
  
              key = cv2.waitKey(-1) & 0xFF
              if key == ord('1'):
                  outputs.append(1)
  
              elif key == ord('0'):
                  outputs.append(0)
  
          else:
              break
  
      cap.release()
      cv2.destroyAllWindows()
  
      np_outputs = np.asarray(outputs)
  
      np.save('openpose/' + path + '-' + str(int(starting_frame > 0)) + "-y.npy", np_outputs)
  
      return np_outputs
  
  
  if __name__ == '__main__':
      for i in range(1):
          print(label_image('gta-' + str(i) + '.mp4', starting_frame=0).size == 36)
          print(label_image('gta-' + str(i) + '.mp4', starting_frame=540).size == 36)
  
      for i in range(2):
          print(label_image('robery-' + str(i) + '.mp4', starting_frame=0).size == 36)
          print(label_image('robery-' + str(i) + '.mp4', starting_frame=540).size == 36)
  
      for i in range(1):
          print(label_image('walmart-' + str(i) + '.mp4', starting_frame=0).size == 36)
          print(label_image('walmart-' + str(i) + '.mp4', starting_frame=540).size == 36)
  
      # for i in range(0, 8):
      #     print('swamphacks-' + str(i))
      #     print(label_image('swamphacks-' + str(i) + '.mp4', starting_frame=0).size == 36)
      #     print(label_image('swamphacks-' + str(i) + '.mp4', starting_frame=540).size == 36)
  
  