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import gradio as gr |
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import cv2 |
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from PIL import Image |
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import numpy as np |
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from gradio import components |
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def segment_and_show(image): |
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image = cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR) |
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return Image.fromarray(cv2.cvtColor(image, cv2.COLOR_BGR2RGB)) |
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default_image = Image.open("demo.jpeg") |
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iface = gr.Interface( |
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fn=segment_and_show, |
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inputs=components.Image(value=default_image), |
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outputs=components.Image(type="pil"), |
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title="Urban Autonomy Instance Segmentation Demo", |
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description="Upload an image or use the default to see the instance segmentation model in action.", |
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) |
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if __name__ == "__main__": |
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iface.launch() |
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