|
|
import gradio as gr |
|
|
|
|
|
from PIL import Image |
|
|
import tensorflow as tf |
|
|
import numpy as np |
|
|
import requests |
|
|
from transformers import SegformerImageProcessor, SegformerForSemanticSegmentation, SegformerFeatureExtractor |
|
|
|
|
|
feature_extractor = SegformerFeatureExtractor.from_pretrained( |
|
|
"nvidia/segformer-b0-finetuned-ade-512-512" |
|
|
) |
|
|
|
|
|
processor = SegformerImageProcessor.from_pretrained( |
|
|
"nvidia/segformer-b0-finetuned-ade-512-512" |
|
|
) |
|
|
model = SegformerForSemanticSegmentation.from_pretrained("nvidia/segformer-b0-finetuned-ade-512-512") |
|
|
|
|
|
|
|
|
|
|
|
url = "http://images.cocodataset.org/val2017/000000039769.jpg" |
|
|
image = Image.open(requests.get(url, stream=True).raw) |
|
|
|
|
|
inputs = feature_extractor(images=image, return_tensors="pt") |
|
|
outputs = model(**inputs) |
|
|
logits = outputs.logits |
|
|
|
