README.md

metadata

title: Machine Learning 7task 2
emoji: 🌖
colorFrom: purple
colorTo: indigo
sdk: gradio
sdk_version: 3.44.4
app_file: app.py
pinned: false

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 = ["https://imagescdn.gettyimagesbank.com/500/201407/a8281860.jpg",
       "https://imagescdn.gettyimagesbank.com/500/14/890/614/3/a8281872.jpg",
       "https://50plus.or.kr/upload/im/2019/06/d3007817-9c63-468d-bbc1-0afa8f10874e.jpg"
       ]
image = Image.open(requests.get(url, stream=True).raw)

inputs = feature_extractor(images=image, return_tensors="pt")
outputs = model(**inputs)
logits = outputs.logits  # shape (batch_size, num_labels, height/4, width/4)

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference