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Upload gradio_app.py with huggingface_hub
Browse files- gradio_app.py +4 -8
gradio_app.py
CHANGED
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@@ -144,12 +144,6 @@ with gr.Blocks() as demo:
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height=300,
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)
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with gr.Column():
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gr.Radio(
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choices=["Scale | Shift Invariant", "Metric (TODO)"],
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label="Depth Type",
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value="Scale | Shift Invariant",
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interactive=True,
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)
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with gr.Row():
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remove_flying_pixels = gr.Checkbox(
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label="Remove Flying Pixels",
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@@ -157,7 +151,7 @@ with gr.Blocks() as demo:
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interactive=True,
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)
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depth_map_threshold = gr.Slider(
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label="
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minimum=0.05,
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maximum=0.95,
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step=0.05,
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@@ -197,8 +191,10 @@ with gr.Blocks() as demo:
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outputs=[model_status],
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)
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examples_paths = Path("examples").glob("*.jpeg")
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examples = gr.Examples(
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examples=examples_list,
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inputs=[input_image, remove_flying_pixels, depth_map_threshold],
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height=300,
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)
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with gr.Column():
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with gr.Row():
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remove_flying_pixels = gr.Checkbox(
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label="Remove Flying Pixels",
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interactive=True,
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)
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depth_map_threshold = gr.Slider(
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label="⬇️ number == more pruning ⬆️ less pruning",
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minimum=0.05,
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maximum=0.95,
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step=0.05,
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outputs=[model_status],
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)
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# get all jpegs in examples path
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examples_paths = Path("examples").glob("*.jpeg")
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# set the examples to be the sorted list of input parameterss (path, remove_flying_pixels, depth_map_threshold)
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examples_list = sorted([[str(path), True, 0.1] for path in examples_paths])
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examples = gr.Examples(
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examples=examples_list,
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inputs=[input_image, remove_flying_pixels, depth_map_threshold],
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