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''' |
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Author: Egrt |
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Date: 2022-01-13 13:34:10 |
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LastEditors: Egrt |
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LastEditTime: 2022-11-23 15:42:51 |
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FilePath: \MaskGAN\app.py |
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''' |
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import os |
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os.system('cd models/ops && python3 setup.py install') |
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from HEAT import HEAT |
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import gradio as gr |
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heat = HEAT() |
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def inference(img): |
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image_result = heat.detect_one_image(img) |
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return image_result |
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title = "HEAT" |
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description = "HEAT: Holistic Edge Attention Transformer for Structured Reconstruction @Luuuu" |
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article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2108.10257' target='_blank'>HEAT: Holistic Edge Attention Transformer for Structured Reconstruction </a> | <a href='https://github.com/JingyunLiang/SwinIR' target='_blank'>Github Repo</a></p>" |
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example_img_dir = 'images/' |
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example_img_name = os.listdir(example_img_dir) |
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examples=[[os.path.join(example_img_dir, image_path)] for image_path in example_img_name if image_path.endswith(('.jpg','.jpeg', '.png'))] |
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gr.Interface( |
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inference, |
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[gr.inputs.Image(type="pil", label="Input")], |
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gr.outputs.Image(type="pil", label="Output"), |
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title=title, |
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description=description, |
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article=article, |
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examples=examples |
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).launch() |
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