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Update app.py
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app.py
CHANGED
@@ -13,87 +13,75 @@ from functools import partial
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from tsr.system import TSR
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from tsr.utils import remove_background, resize_foreground, to_gradio_3d_orientation
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)
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with gr.Column():
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do_remove_background = gr.Checkbox(
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label="Remove Background",
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value=True,
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elem_id="remove_background",
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)
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foreground_ratio = gr.Slider(
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label="Foreground Ratio",
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minimum=0.5,
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maximum=1.0,
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value=0.85,
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step=0.05,
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elem_id="foreground_ratio",
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)
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with gr.Row():
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submit = gr.Button(
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label="Generate",
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scale=0,
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variant="primary",
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elem_classes="generate-button",
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)
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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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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.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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#...
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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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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.Column():
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gr.Markdown("**Input Image**")
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input_image = gr.Image(
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label="",
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image_mode="RGBA",
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sources="upload",
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type="pil",
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elem_id="content_image",
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)
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with gr.Column():
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do_remove_background = gr.Checkbox(
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label="Remove Background",
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@@ -107,113 +95,42 @@ with gr.Blocks(theme=CustomTheme(), css=css) as demo:
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value=0.85,
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step=0.05,
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elem_id="foreground_ratio",
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)
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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.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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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.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.Column():
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gr.Markdown("**Output Models**")
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output_model = gr.Model3D(label="Output Model", interactive=False)
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output_model2 = gr.Model3D(label="Output Model", interactive=False)
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with gr.Row():
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#...
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with gr.Button("Download Example", elem_id="download_example", fn=partial(run_example, inputs=[input_image], outputs=[input_image, output_model]):
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#...
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with gr.Column():
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gr.Examples(
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examples=[
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"examples/1.png",
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"examples/2.png",
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],
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inputs=[input_image],
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outputs=[output_model, output_model2],
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fn=
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examples_per_page=20,
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)
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submit.click(
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fn=partial(run_example),
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inputs=[input_image],
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outputs=[output_model, output_model2],
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)
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with gr.Button("Generate", elem_id="generate", variant="primary", fn=generate, inputs=[output_model, output_model2]):
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#...
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with gr.Row():
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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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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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)
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input_image = gr.Image(
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label="",
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image_mode="RGBA",
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sources="upload",
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type="pil",
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elem_id="content_image",
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width=500, # Увеличена ширина входных изображений
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)
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with gr.Column():
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do_remove_background = gr.Checkbox(
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label="Remove Background",
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value=True,
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elem_id="remove_background",
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)
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foreground_ratio = gr.Slider(
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label="Foreground Ratio",
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minimum=0.5,
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maximum=1.0,
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value=0.85,
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step=0.05,
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elem_id="foreground_ratio",
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)
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with gr.Row():
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submit = gr.Button(
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label="Generate",
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scale=0,
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variant="primary",
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elem_classes="generate-button",
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)
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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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output_model2
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from tsr.system import TSR
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from tsr.utils import remove_background, resize_foreground, to_gradio_3d_orientation
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# HF_TOKEN = os.getenv("HF_TOKEN")
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if torch.cuda.is_available():
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device = "cuda:0"
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else:
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device = "cpu"
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d = os.environ.get("DEVICE", None)
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if d!= None:
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device = d
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model = TSR.from_pretrained(
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"stabilityai/TripoSR",
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config_name="config.yaml",
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weight_name="model.ckpt",
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# token=HF_TOKEN
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)
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model.renderer.set_chunk_size(131072)
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# Увеличение разрешения входного изображения
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model.to(device)
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rembg_session = rembg.new_session()
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def preprocess(input_image, do_remove_background, foreground_ratio):
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def fill_background(image):
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image = np.array(image).astype(np.float32) / 255.0
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image = image[:, :, :3] * image[:, :, 3:4] + (1 - image[:, :, 3:4]) * 0.5
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image = Image.fromarray((image * 255.0).astype(np.uint8))
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return image
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if do_remove_background:
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image = image.convert("RGB")
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image = remove_background(image, rembg_session)
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image = resize_foreground(image, foreground_ratio)
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image = fill_background(image)
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else:
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if image.mode == "RGBA":
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image = fill_background(image)
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return image
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def generate(image):
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scene_codes = model(image, device=device)
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# Увеличение разрешения входного изображения
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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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# Увеличение разрешения входного изображения
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mesh_path2 = tempfile.NamedTemporaryFile(suffix=".glb", delete=False)
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mesh.export(mesh_path2.name)
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# Увеличение разрешения входного изображения
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return mesh_path.name, mesh_path2.name
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def run_example(image_pil):
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# Увеличение разрешения входного изображения
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preprocessed = preprocess(image_pil, False, 0.9)
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mesh_name, mesh_name2 = generate(preprocessed) # Увеличение разрешения входного изображения
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return image_pil, mesh_name, mesh_name2
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with gr.Blocks() as demo:
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gr.Markdown("# **Input Image**")
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with gr.Column():
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input_image = gr.Image(
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label="",
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image_mode="RGBA",
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sources="upload",
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type="pil",
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elem_id="content_image",
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) # Увеличение разрешения входного изображения
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with gr.Column():
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do_remove_background = gr.Checkbox(
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label="Remove Background",
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value=0.85,
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step=0.05,
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elem_id="foreground_ratio",
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) # Увеличение разрешения входного изображения
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with gr.Row():
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submit = gr.Button("Generate")
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submit.click(
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fn=check_input_image,
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inputs=[input_image],
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outputs=[],
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).click(
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fn=preprocess,
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inputs=[input_image, do_remove_background, foreground_ratio],
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outputs=[input_image],
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).click(
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fn=generate,
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inputs=[input_image],
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outputs=["mesh_name", "mesh_name2"],
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)
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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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#...
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with gr.Column():
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gr.Examples(
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examples=["examples/1.png"],
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inputs=[input_image],
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outputs=[input_image, output_model, output_model2],
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fn=run_example,
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cache_examples=True,
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)
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demo.queue(max_size=10)
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demo.launch()
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