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from transformers import AutoFeatureExtractor, SegformerForSemanticSegmentation
import gradio as gr
import numpy as np
extractor = AutoFeatureExtractor.from_pretrained("marcelarosalesj/my-segmentation-model")
model = SegformerForSemanticSegmentation.from_pretrained("marcelarosalesj/my-segmentation-model")
def classify(im):
inputs = extractor(images=im, return_tensors="pt").to("cuda")
outputs = model(**inputs)
logits = outputs.logits
classes = logits[0].detach().cpu().numpy().argmax(axis=0)
colors = np.array([[128,0,0], [128,128,0], [0, 0, 128], [128,0,128], [0, 0, 0]])
return colors[classes]
interface = gr.Interface(fn=classify,
inputs="image",
outputs="image")
interface.launch(debug=True)