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Update app.py
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app.py
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@@ -229,6 +229,7 @@ def run_demo_server():
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"""
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<h1>DICEPTION: A Generalist Diffusion Model for Vision Perception</h1>
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<h3>One single model solves multiple perception tasks, producing impressive results!</h3>
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<p align="center">
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<a title="arXiv" href="https://arxiv.org" target="_blank" rel="noopener noreferrer"
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style="display: inline-block;">
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@@ -249,8 +250,6 @@ def run_demo_server():
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checkbox_group = gr.CheckboxGroup(choices=options, label="Task")
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with gr.Row():
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semantic_input = gr.Textbox(label="Category Name", placeholder="e.g. person/cat/dog/elephant...... (for semantic segmentation only, in COCO)")
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with gr.Row():
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gr.Markdown('## Due to the GPU quota limit, if an error occurs, please wait for 5 minutes before retrying.')
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with gr.Row():
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gr.Markdown('For non-human image inputs, the pose results may have issues. Same when perform semantic segmentation with categories that are not in COCO.')
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with gr.Row():
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"""
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<h1>DICEPTION: A Generalist Diffusion Model for Vision Perception</h1>
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<h3>One single model solves multiple perception tasks, producing impressive results!</h3>
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+
<h3>Due to the GPU quota limit, if an error occurs, please wait for 5 minutes before retrying.</h3>
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<p align="center">
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<a title="arXiv" href="https://arxiv.org" target="_blank" rel="noopener noreferrer"
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style="display: inline-block;">
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checkbox_group = gr.CheckboxGroup(choices=options, label="Task")
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with gr.Row():
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semantic_input = gr.Textbox(label="Category Name", placeholder="e.g. person/cat/dog/elephant...... (for semantic segmentation only, in COCO)")
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with gr.Row():
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gr.Markdown('For non-human image inputs, the pose results may have issues. Same when perform semantic segmentation with categories that are not in COCO.')
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with gr.Row():
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