text: import os
  import cv2
  import torch
  import argparse
  import numpy as np
  from tqdm import tqdm
  from torch.nn import functional as F
  
  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
  if torch.cuda.is_available():
      torch.set_grad_enabled(False)
      torch.backends.cudnn.enabled = True
      torch.backends.cudnn.benchmark = True
  
  parser = argparse.ArgumentParser(description='Interpolation for a pair of images')
  parser.add_argument('--video', dest='video', required=True)
  parser.add_argument('--montage', dest='montage', action='store_true', help='montage origin video')
  parser.add_argument('--skip', dest='skip', action='store_true', help='whether to remove static frames before processing')
  parser.add_argument('--fps', dest='fps', type=int, default=None)
  parser.add_argument('--png', dest='png', action='store_true', help='whether to output png format outputs')
  parser.add_argument('--ext', dest='ext', type=str, default='mp4', help='output video extension')
  parser.add_argument('--exp', dest='exp', type=int, default=1)
  args = parser.parse_args()
  assert (args.exp == 1 or args.exp == 2)
  args.exp = 2 ** args.exp
  
  from model.RIFE import Model
  model = Model()
  model.load_model('./train_log')
  model.eval()
  model.device()
  
  videoCapture = cv2.VideoCapture(args.video)
  fps = np.round(videoCapture.get(cv2.CAP_PROP_FPS))
  if args.fps is None:
      args.fps = fps * args.exp
  success, frame = videoCapture.read()
  h, w, _ = frame.shape
  fourcc = cv2.VideoWriter_fourcc('m', 'p', '4', 'v')
  if args.png:
      if not os.path.exists('output'):
          os.mkdir('output')
  else:
      video_path_wo_ext, ext = os.path.splitext(args.video)
      output = cv2.VideoWriter('{}_{}X_{}fps.{}'.format(video_path_wo_ext, args.exp, int(np.round(args.fps)), args.ext), fourcc, args.fps, (w, h))
      
  cnt = 0
  def writeframe(frame):
      global cnt
      if args.png:
          cv2.imwrite('output/{:0>7d}.png'.format(cnt), frame)
          cnt += 1
      else:
          output.write(frame)
  if args.montage:
      left = w // 4
      w = w // 2
  ph = ((h - 1) // 32 + 1) * 32
  pw = ((w - 1) // 32 + 1) * 32
  padding = (0, pw - w, 0, ph - h)
  tot_frame = videoCapture.get(cv2.CAP_PROP_FRAME_COUNT)
  print('{}.{}, {} frames in total, {}FPS to {}FPS'.format(video_path_wo_ext, args.ext, tot_frame, fps, args.fps))
  pbar = tqdm(total=tot_frame)
  skip_frame = 1
  if args.montage:
      frame = frame[:, left: left + w]
  while success:
      lastframe = frame
      success, frame = videoCapture.read()
      if success:
          if args.montage:
              frame = frame[:, left: left + w]
          I0 = torch.from_numpy(np.transpose(lastframe, (2,0,1)).astype("float32") / 255.).to(device).unsqueeze(0)
          I1 = torch.from_numpy(np.transpose(frame, (2,0,1)).astype("float32") / 255.).to(device).unsqueeze(0)
          I0 = F.pad(I0, padding)
          I1 = F.pad(I1, padding)
          p = (F.interpolate(I0, (16, 16), mode='bilinear', align_corners=False)
               - F.interpolate(I1, (16, 16), mode='bilinear', align_corners=False)).abs().mean()
          if p < 5e-3 and args.skip:
              if skip_frame % 100 == 0:
                  print("Warning: Your video has {} static frames, skipping them may change the duration of the generated video.".format(skip_frame))
              skip_frame += 1
              pbar.update(1)
              continue
          if p > 0.2:             
              mid1 = lastframe
              mid0 = lastframe
              mid2 = frame
          else:
              mid1 = model.inference(I0, I1)
              if args.exp == 4:
                  mid = model.inference(torch.cat((I0, mid1), 0), torch.cat((mid1, I1), 0))
              mid1 = (((mid1[0] * 255.).cpu().detach().numpy().transpose(1, 2, 0))).astype('uint8')
              if args.exp == 4:
                  mid0 = (((mid[0] * 255.).cpu().detach().numpy().transpose(1, 2, 0))).astype('uint8')
                  mid2 = (((mid[1]* 255.).cpu().detach().numpy().transpose(1, 2, 0))).astype('uint8')
          if args.montage:
              writeframe(np.concatenate((lastframe, lastframe), 1))
              if args.exp == 4:
                  writeframe(np.concatenate((lastframe, mid0[:h, :w]), 1))
              writeframe(np.concatenate((lastframe, mid1[:h, :w]), 1))
              if args.exp == 4:
                  writeframe(np.concatenate((lastframe, mid2[:h, :w]), 1))
          else:
              writeframe(lastframe)
              if args.exp == 4:
                  writeframe(mid0[:h, :w])
              writeframe(mid1[:h, :w])
              if args.exp == 4:
                  writeframe(mid2[:h, :w])
          pbar.update(1)
  if args.montage:
      writeframe(np.concatenate((lastframe, lastframe), 1))
  else:
      writeframe(lastframe)
  pbar.close()
  output.release()
  