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cocktailpeanut
commited on
Commit
•
fbbd4eb
1
Parent(s):
1837f83
glb
Browse files
app.py
CHANGED
@@ -74,13 +74,15 @@ def generate(image):
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mesh = model.extract_mesh(scene_codes)[0]
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mesh = to_gradio_3d_orientation(mesh)
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mesh_path = tempfile.NamedTemporaryFile(suffix=".obj", delete=False)
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mesh.export(mesh_path.name)
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-
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def run_example(image_pil):
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preprocessed = preprocess(image_pil, False, 0.9)
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mesh_name = generate(preprocessed)
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return preprocessed, mesh_name
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with gr.Blocks() as demo:
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gr.Markdown(HEADER)
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@@ -110,18 +112,23 @@ with gr.Blocks() as demo:
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with gr.Row():
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submit = gr.Button("Generate", elem_id="generate", variant="primary")
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with gr.Column():
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with gr.Tab("
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output_model = gr.Model3D(
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label="Output Model",
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interactive=False,
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)
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with gr.Row(variant="panel"):
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gr.Examples(
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examples=[
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os.path.join("examples", img_name) for img_name in sorted(os.listdir("examples"))
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],
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inputs=[input_image],
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outputs=[processed_image, output_model],
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#cache_examples=True,
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fn=partial(run_example),
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label="Examples",
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@@ -134,7 +141,7 @@ with gr.Blocks() as demo:
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).success(
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fn=generate,
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inputs=[processed_image],
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outputs=[output_model],
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)
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demo.queue(max_size=10)
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mesh = model.extract_mesh(scene_codes)[0]
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mesh = to_gradio_3d_orientation(mesh)
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mesh_path = tempfile.NamedTemporaryFile(suffix=".obj", delete=False)
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mesh_path2 = tempfile.NamedTemporaryFile(suffix=".glb", delete=False)
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mesh.export(mesh_path.name)
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mesh.export(mesh_path2.name)
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return mesh_path.name, mesh_path2.name
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def run_example(image_pil):
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preprocessed = preprocess(image_pil, False, 0.9)
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mesh_name, mesn_name2 = generate(preprocessed)
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return preprocessed, mesh_name, mesh_name2
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with gr.Blocks() as demo:
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gr.Markdown(HEADER)
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with gr.Row():
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submit = gr.Button("Generate", elem_id="generate", variant="primary")
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with gr.Column():
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with gr.Tab("obj"):
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output_model = gr.Model3D(
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label="Output Model",
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interactive=False,
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)
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with gr.Tab("glb"):
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output_model2 = gr.Model3D(
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label="Output Model",
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interactive=False,
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)
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with gr.Row(variant="panel"):
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gr.Examples(
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examples=[
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os.path.join("examples", img_name) for img_name in sorted(os.listdir("examples"))
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],
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inputs=[input_image],
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outputs=[processed_image, output_model, output_model2],
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#cache_examples=True,
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fn=partial(run_example),
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label="Examples",
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).success(
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fn=generate,
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inputs=[processed_image],
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outputs=[output_model, output_model2],
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)
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demo.queue(max_size=10)
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