diff --git a/inference_video_parallel.py b/inference_video_parallel.py
index f22684c..5d035f2 100644
--- a/inference_video_parallel.py
+++ b/inference_video_parallel.py
@@ -51,7 +51,7 @@ cnt = 0
 skip_frame = 1
 
 
-def write_frame(vid_out, i0, infs, i1, p, user_args):
+def write_frame(i0, infs, i1, p, user_args):
     global skip_frame, cnt
     
     for i in range(i0.shape[0]):
@@ -104,7 +104,7 @@ while success:
     success, frame = videoCapture.read()
     if success:
         img_list.append(frame)
-    if len(img_list) == 5 or (not success and len(img_list) > 1):
+    if len(img_list) == 3 or (not success and len(img_list) > 1):
         I0 = torch.from_numpy(np.transpose(img_list[:-1], (0, 3, 1, 2)).astype('float32') / 255.).to(device, non_blocking=True)
         I1 = torch.from_numpy(np.transpose(img_list[1:], (0, 3, 1, 2)).astype('float32') / 255.).to(device, non_blocking=True)
         p = (F.interpolate(I0, (16, 16), mode='bilinear', align_corners=False)
@@ -117,7 +117,7 @@ while success:
         I1 = np.array(img_list[1:])
         inferences = list(map(lambda x: ((x[:, :, :h, :w] * 255.).byte().cpu().detach().numpy().transpose(0, 2, 3, 1)), inferences))
         
-        write_frame(vid_out, I0, inferences, I1, p.mean(3).mean(2).mean(1), args)
+        write_frame(I0, inferences, I1, p.mean(3).mean(2).mean(1), args)
         pbar.update(4)
         img_list = img_list[-1:]
 pbar.close()