1

app.py

@@ -1,13 +1,16 @@
 from transformers import SegformerFeatureExtractor, SegformerForSemanticSegmentation
 from PIL import Image
-import requests
+
 
 feature_extractor = SegformerFeatureExtractor.from_pretrained("nvidia/segformer-b3-finetuned-cityscapes-1024-1024")
 model = SegformerForSemanticSegmentation.from_pretrained("nvidia/segformer-b3-finetuned-cityscapes-1024-1024")
 
-url = "http://images.cocodataset.org/val2017/000000039769.jpg"
-image = Image.open(requests.get(url, stream=True).raw)
+# url = "http://images.cocodataset.org/val2017/000000039769.jpg"
+# image = Image.open(requests.get(url, stream=True).raw)
+
+images = ['image1', 'image2', 'image3']
+images = Image.open(images)
 
-inputs = feature_extractor(images=image, return_tensors="pt")
+inputs = feature_extractor(images=images, return_tensors="pt")
 outputs = model(**inputs)
 logits = outputs.logits  # shape (batch_size, num_labels, height/4, width/4)