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