Update run.py

run.py

@@ -3,7 +3,7 @@ import numpy as np
 from time import sleep
 import torch
 from transformers import SegformerImageProcessor, SegformerForSemanticSegmentation
-
+from torchvision import transforms
 
 weights2load = 'segformer_ep15_loss0.00.pth'
 id2label = {0: 'seal', 255: 'bck'}
@@ -31,7 +31,9 @@ def flip_periodically(im, interval_ms=0):
     Returns:
         The flipped image.
     """
-    pixel_values = image_processor(im, return_tensors="pt").pixel_values.to(device)
+    
+    transforms.ToTensor()(im)
+    image_processor(im, return_tensors="pt").pixel_values.to(device)
     outputs = model(pixel_values=pixel_values)
     logits = outputs.logits.cpu()
     sleep(interval_ms / 1000)  # Convert milliseconds to seconds