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from transformers import DPTFeatureExtractor, DPTForSemanticSegmentation |
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from PIL import Image |
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import requests |
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import streamlit as st |
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url = "http://images.cocodataset.org/val2017/000000039769.jpg" |
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image = Image.open(requests.get(url, stream=True).raw) |
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st.success("Image open: Success") |
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feature_extractor = DPTFeatureExtractor.from_pretrained("Intel/dpt-large-ade") |
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model = DPTForSemanticSegmentation.from_pretrained("Intel/dpt-large-ade") |
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st.success("Load model: Success") |
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inputs = feature_extractor(images=image, return_tensors="pt") |
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st.success("Feature extraction: Success") |
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outputs = model(**inputs) |
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logits = outputs.logits |
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st.success("Success") |
