Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
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@@ -18,10 +18,10 @@ css = """
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max-height: 100vh;
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}
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#img-display-input {
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max-height:
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}
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#img-display-output {
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max-height:
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}
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#download {
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height: 62px;
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@@ -64,38 +64,41 @@ 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="16-bit raw output (can be considered as disparity)", elem_id="download",)
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cmap = matplotlib.colormaps.get_cmap('Spectral')
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def on_submit(image):
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original_image = image.copy()
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h, w = image.shape[:2]
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depth = predict_depth(image[:, :, ::-1])
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tmp_raw_depth = tempfile.NamedTemporaryFile(suffix='.
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depth = (depth - depth.min()) / (depth.max() - depth.min()) * 255.0
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depth = depth.astype(np.uint8)
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colored_depth = (cmap(depth)[:, :, :3] * 255).astype(np.uint8)
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return [(original_image, colored_depth),
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submit.click(
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example_files = os.listdir('assets/examples')
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example_files.sort()
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example_files = [os.path.join('assets/examples', filename) for filename in example_files]
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examples = gr.Examples(
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if __name__ == '__main__':
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max-height: 100vh;
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}
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#img-display-input {
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max-height: 100vh;
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}
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#img-display-output {
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max-height: 100vh;
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}
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#download {
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height: 62px;
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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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def on_submit(image):
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original_image = image.copy()
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depth = predict_depth(image[:, :, ::-1])
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# save raw depth (npy)
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tmp_raw_depth = tempfile.NamedTemporaryFile(suffix='.npy', delete=False)
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np.save(tmp_raw_depth.name, depth)
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depth_vis = (depth - depth.min()) / (depth.max() - depth.min()) * 255.0
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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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return [(original_image, colored_depth), 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, raw_file]
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)
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example_files = os.listdir('assets/examples')
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example_files.sort()
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example_files = [os.path.join('assets/examples', filename) for filename in example_files]
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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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if __name__ == '__main__':
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