Update README.md

Just minor corrections to the code snippet - we shouldn't need to specify resizing the image if the AutoImageProcessor loads the correct preprocessing configuration.

README.md

@@ -36,6 +36,7 @@ Here is how to use this model:
 ```python
 import requests
 import torch
+import torchvision
 from PIL import Image
 from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation
 
@@ -46,7 +47,7 @@ model = Mask2FormerForUniversalSegmentation.from_pretrained("facebook/video-mask
 
 file_path = hf_hub_download(repo_id="shivi/video-demo", filename="cars.mp4", repo_type="dataset")
 video = torchvision.io.read_video(file_path)[0]
-video_frames = [image_processor(images=frame, return_tensors="pt", do_resize=True, size=(480, 640)).pixel_values for frame in video]
+video_frames = [image_processor(images=frame, return_tensors="pt").pixel_values for frame in video]
 video_input = torch.cat(video_frames)
 
 with torch.no_grad():