Update utils.py

utils.py

@@ -8,7 +8,7 @@ from clipseg import CLIPDensePredT
 transform = transforms.Compose([
     transforms.ToTensor(),
     transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),
-    transforms.Resize((352, 352)),
+    transforms.Resize((352, 352), antialias=True),
 ])
 
 
@@ -51,7 +51,7 @@ def predict(image, prompts):
 
 def get_examples():
    examples = [
-      ['images/000010.jpg', 'deer, tree, grass'],
+      ['images/000013.jpg', 'deer, tree, grass'],
       ['images/000002.jpg', 'train, tracks, electric pole, house'],
       ['images/00125.jpg', 'dog, flowers'],
       ['images/000010.jpg', 'horse, man, fence, buildings, hill'],