Spaces:
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Sleeping
kyleleey
commited on
Commit
•
a152ea8
1
Parent(s):
66e5160
update
Browse files- app.py +6 -6
- requirements.txt +1 -1
app.py
CHANGED
@@ -626,7 +626,7 @@ def run_demo():
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examples_per_page=30
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)
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with gr.Column(scale=1):
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-
processed_image = gr.Image(type='pil', label="Processed Image", interactive=False,
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processed_image_highres = gr.Image(type='pil', image_mode='RGB', visible=False)
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with gr.Accordion('Advanced options', open=True):
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@@ -652,8 +652,8 @@ def run_demo():
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# crop_size = 192
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run_btn = gr.Button('Reconstruct', variant='primary', interactive=True)
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with gr.Row():
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-
view_1 = gr.Image(label="Input View Reconstruction", interactive=False,
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view_2 = gr.Image(label="Input View Reconstruction with Skeleton", interactive=False,
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with gr.Row():
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shape_1 = gr.Model3D(clear_color=[0.0, 0.0, 0.0, 0.0], height=512, label="Reconstructed Shape")
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shape_2 = gr.Model3D(clear_color=[0.0, 0.0, 0.0, 0.0], height=512, label="Reconstructed Base Shape")
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@@ -670,9 +670,9 @@ def run_demo():
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inputs=[processed_image],
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outputs=[view_1, view_2, shape_1, shape_1_download, shape_2, shape_2_download]
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)
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demo.queue().launch(share=True, max_threads=80)
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-
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-
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if __name__ == '__main__':
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examples_per_page=30
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)
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with gr.Column(scale=1):
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+
processed_image = gr.Image(type='pil', label="Processed Image", interactive=False, height=256, image_mode='RGB', elem_id="disp_image")
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processed_image_highres = gr.Image(type='pil', image_mode='RGB', visible=False)
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with gr.Accordion('Advanced options', open=True):
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# crop_size = 192
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run_btn = gr.Button('Reconstruct', variant='primary', interactive=True)
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with gr.Row():
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view_1 = gr.Image(label="Input View Reconstruction", interactive=False, height=256, show_label=True)
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view_2 = gr.Image(label="Input View Reconstruction with Skeleton", interactive=False, height=256, show_label=True)
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with gr.Row():
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shape_1 = gr.Model3D(clear_color=[0.0, 0.0, 0.0, 0.0], height=512, label="Reconstructed Shape")
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shape_2 = gr.Model3D(clear_color=[0.0, 0.0, 0.0, 0.0], height=512, label="Reconstructed Base Shape")
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inputs=[processed_image],
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outputs=[view_1, view_2, shape_1, shape_1_download, shape_2, shape_2_download]
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)
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# demo.queue().launch(share=True, max_threads=80)
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_, local_url, share_url = demo.queue().launch(share=True, server_name="0.0.0.0", server_port=23425)
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print('local_url: ', local_url)
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if __name__ == '__main__':
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requirements.txt
CHANGED
@@ -5,7 +5,7 @@ ConfigArgParse==1.5.3
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einops==0.4.1
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fire==0.5.0
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glfw==2.5.7
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-
gradio==
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imageio==2.27.0
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ipdb==0.13.9
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lpips==0.1.4
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einops==0.4.1
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fire==0.5.0
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glfw==2.5.7
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+
gradio==3.50.2
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imageio==2.27.0
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ipdb==0.13.9
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lpips==0.1.4
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