Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
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@@ -64,6 +64,8 @@ with gr.Blocks(css=css) as demo:
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input_image = gr.Image(label="Input Image", type='numpy', elem_id='img-display-input')
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depth_image_slider = ImageSlider(label="Depth Map with Slider View", elem_id='img-display-output', position=0.5)
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submit = gr.Button(value="Predict Depth")
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raw_file = gr.File(label="Raw depth output (saved as .npy)", elem_id="download",)
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cmap = matplotlib.colormaps.get_cmap('Spectral')
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@@ -82,12 +84,17 @@ with gr.Blocks(css=css) as demo:
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depth_vis = depth_vis.astype(np.uint8)
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colored_depth = (cmap(depth_vis)[:, :, :3] * 255).astype(np.uint8)
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submit.click(
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on_submit,
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inputs=[input_image],
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outputs=[depth_image_slider, raw_file]
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)
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example_files = os.listdir('assets/examples')
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@@ -96,7 +103,7 @@ with gr.Blocks(css=css) as demo:
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examples = gr.Examples(
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examples=example_files,
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inputs=[input_image],
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outputs=[depth_image_slider, raw_file],
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fn=on_submit
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)
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input_image = gr.Image(label="Input Image", type='numpy', elem_id='img-display-input')
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depth_image_slider = ImageSlider(label="Depth Map with Slider View", elem_id='img-display-output', position=0.5)
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submit = gr.Button(value="Predict Depth")
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concat_file = gr.File(label="Concatenated visualization (image+depth)", elem_id="image-depth-download")
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raw_file = gr.File(label="Raw depth output (saved as .npy)", elem_id="download",)
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cmap = matplotlib.colormaps.get_cmap('Spectral')
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depth_vis = depth_vis.astype(np.uint8)
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colored_depth = (cmap(depth_vis)[:, :, :3] * 255).astype(np.uint8)
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split_region = np.ones((image.shape[0], 50, 3), dtype=np.uint8) * 255
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combined_result = cv2.hconcat([image[:, :, ::-1], split_region, colored_depth[:, :, ::-1]])
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tmp_concat = tempfile.NamedTemporaryFile(suffix='.png', delete=False)
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cv2.imwrite(tmp_concat.name, combined_result)
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return [(original_image, colored_depth), tmp_concat.name, tmp_raw_depth.name]
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submit.click(
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on_submit,
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inputs=[input_image],
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outputs=[depth_image_slider, concat_file, raw_file]
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)
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example_files = os.listdir('assets/examples')
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examples = gr.Examples(
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examples=example_files,
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inputs=[input_image],
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outputs=[depth_image_slider, concat_file, raw_file],
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fn=on_submit
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)
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