Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -8,7 +8,7 @@ import gradio as gr
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import matplotlib
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from gradio_utils.utils import (process_img, get_select_coords, select_skeleton,
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reset_skeleton, reset_kp, process)
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LENGTH = 480 # Length of the square area displaying/editing images
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@@ -45,6 +45,7 @@ with gr.Blocks() as demo:
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"skeleton": [],
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"prev_point": None,
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"curr_type_point": "start",
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})
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with gr.Row():
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# Upload & Preprocess Image Column
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@@ -57,7 +58,7 @@ with gr.Blocks() as demo:
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width=LENGTH,
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type="pil",
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image_mode="RGB",
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label="
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show_label=True,
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interactive=True,
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)
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@@ -116,19 +117,61 @@ with gr.Blocks() as demo:
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gr.Markdown(
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"""<p style="text-align: center; font-size: 20px">Output</p>"""
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)
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output_img = gr.Plot(label="Output Image",)
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with gr.Row():
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eval_btn = gr.Button(value="Evaluate")
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with gr.Row():
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gr.Markdown("## Examples")
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support_image.
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inputs=[support_image, global_state],
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outputs=[kp_support_image, global_state])
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kp_support_image.select(get_select_coords,
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confirm_kp_button.click(reset_skeleton,
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inputs=global_state,
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outputs=skel_support_image)
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@@ -136,16 +179,17 @@ with gr.Blocks() as demo:
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inputs=global_state,
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outputs=[kp_support_image, skel_support_image])
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undo_skel_button.click(reset_skeleton,
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skel_support_image.select(select_skeleton,
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inputs=[global_state],
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outputs=[global_state, skel_support_image])
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eval_btn.click(fn=process,
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inputs=[query_image, global_state],
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outputs=[output_img
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if __name__ == "__main__":
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print("Start app", parser.parse_args())
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gr.close_all()
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demo.launch(show_api=False)
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import matplotlib
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from gradio_utils.utils import (process_img, get_select_coords, select_skeleton,
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reset_skeleton, reset_kp, process, update_examples)
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LENGTH = 480 # Length of the square area displaying/editing images
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"skeleton": [],
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"prev_point": None,
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"curr_type_point": "start",
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"load_example": False,
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})
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with gr.Row():
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# Upload & Preprocess Image Column
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width=LENGTH,
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type="pil",
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image_mode="RGB",
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label="Support Image",
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show_label=True,
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interactive=True,
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)
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gr.Markdown(
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"""<p style="text-align: center; font-size: 20px">Output</p>"""
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)
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output_img = gr.Plot(label="Output Image", )
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with gr.Row():
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eval_btn = gr.Button(value="Evaluate")
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with gr.Row():
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gr.Markdown("## Examples")
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with gr.Row():
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example_null = gr.Textbox(type='text',
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visible=False
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)
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with gr.Row():
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examples = gr.Examples([
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['examples/dog2.png',
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'examples/dog1.png',
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json.dumps({
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'points': [(232, 200), (312, 204), (228, 264), (316, 472), (316, 616), (296, 868), (412, 872),
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(416, 624), (604, 608), (648, 860), (764, 852), (696, 608), (684, 432)],
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'skeleton': [(0, 1), (1, 2), (0, 2), (3, 4), (4, 5),
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(3, 7), (7, 6), (3, 12), (12, 8), (8, 9),
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(12, 11), (11, 10)],
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})
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],
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['examples/sofa1.jpg',
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'examples/sofa2.jpg',
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json.dumps({
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'points': [(112, 328), (120, 260), (104, 208), (200, 260), (208, 336), (216, 212), (208, 172),
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(284, 180), (276, 324), (156, 308), (172, 228), (256, 232), (168, 184), (260, 196)]
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,
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'skeleton': [(0, 1), (3, 1), (3, 4), (10, 9), (11, 8),
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(1, 10), (10, 11), (11, 3), (1, 2), (7, 6),
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(5, 13), (5, 3), (13, 11), (12, 10), (12, 2),
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(6, 10), (7, 11)],
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})],
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['examples/person1.jpeg',
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'examples/person2.jpeg',
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json.dumps({
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'points': [(380, 484), (640, 488), (520, 616), (424, 736), (612, 724)],
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'skeleton': [(0, 1), (1, 2), (0, 2), (2, 3), (2, 4),
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(4, 3)],
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})]
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],
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inputs=[support_image, query_image, example_null],
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outputs=[support_image, kp_support_image, skel_support_image, query_image, global_state],
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fn=update_examples,
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run_on_click=True,
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examples_per_page=5,
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)
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support_image.upload(process_img,
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inputs=[support_image, global_state],
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outputs=[kp_support_image, global_state])
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kp_support_image.select(get_select_coords,
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[global_state],
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[global_state, kp_support_image],
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queue=False, )
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confirm_kp_button.click(reset_skeleton,
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inputs=global_state,
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outputs=skel_support_image)
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inputs=global_state,
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outputs=[kp_support_image, skel_support_image])
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undo_skel_button.click(reset_skeleton,
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inputs=global_state,
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outputs=skel_support_image)
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skel_support_image.select(select_skeleton,
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inputs=[global_state],
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outputs=[global_state, skel_support_image])
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eval_btn.click(fn=process,
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inputs=[query_image, global_state],
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outputs=[output_img])
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if __name__ == "__main__":
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print("Start app", parser.parse_args())
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gr.close_all()
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demo.launch(show_api=False)
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