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Pouriarouzrokh
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30378f8
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Parent(s):
a4263b2
Delete app.py
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app.py
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import os
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import gradio as gr
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import matplotlib.pyplot as plt
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import numpy as np
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import skimage
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import monai as mn
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import torch
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from io_utils import LoadImageD
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# Gradio helper functions
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current_img = None
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live_preds = None
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def rotate_btn_fn(img_path, xt, yt, zt, add_bone_cmap=False):
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global current_img
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angles = (xt, yt, zt)
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out_img_path = f'data/cached_outputs/{os.path.basename(img_path)[:-4]}_{angles}.png'
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out_img = skimage.io.imread(out_img_path)
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if not add_bone_cmap:
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return out_img
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cmap = plt.get_cmap('bone')
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out_img = cmap(out_img)
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out_img = (out_img[..., :3] * 255).astype(np.uint8)
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current_img = out_img
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return out_img
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css_style = "./style.css"
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callback = gr.CSVLogger()
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with gr.Blocks(css=css_style) as app:
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gr.HTML("RadRotator: 3D Rotation of Radiographs with Diffusion Models", elem_classes="title")
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gr.HTML("Developed by:<br>Pouria Rouzrokh, Bardia Khosravi, Shahriar Faghani, Kellen Mulford, Michael J. Taunton, Bradley J. Erickson, Cody C. Wyles", elem_classes="subtitle")
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gr.HTML("Note: The demo operates on a CPU, and since diffusion models require more computational capacity to function, all predictions are precomputed.", elem_classes="note")
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with gr.TabItem("Demo"):
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with gr.Row():
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input_img = gr.Image(type='filepath', label='Input image', sources='upload', interactive=False, elem_classes='imgs')
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output_img = gr.Image(type='pil', label='Output image', interactive=False, elem_classes='imgs')
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with gr.Row():
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with gr.Column(scale=0.25):
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pass
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with gr.Column(scale=1):
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gr.Examples(
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examples = [os.path.join("./data/examples", f) for f in os.listdir("./data/examples") if "xr" in f],
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inputs = [input_img],
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label = "Xray Examples",
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elem_id='examples',
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)
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with gr.Column(scale=0.25):
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pass
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with gr.Row():
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gr.Markdown('Please select an example image, choose your rotation angles, and press Rotate!', elem_classes='text')
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with gr.Row():
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with gr.Column(scale=1):
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xt = gr.Slider(label='Rotation angle in x axis:', elem_classes='angle', value=0, minimum=-15, maximum=15, step=5)
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with gr.Column(scale=1):
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yt = gr.Slider(label='Rotation angle in y axis:', elem_classes='angle', value=0, minimum=-15, maximum=15, step=5)
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with gr.Column(scale=1):
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zt = gr.Slider(label='Rotation angle in z axis:', elem_classes='angle', value=0, minimum=-15, maximum=15, step=5)
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with gr.Row():
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rotate_btn = gr.Button("Rotate!", elem_classes='rotate_button')
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rotate_btn.click(fn=rotate_btn_fn, inputs=[input_img, xt, yt, zt], outputs=output_img)
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try:
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app.close()
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gr.close_all()
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except:
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pass
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demo = app.launch(
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max_threads=4,
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share=True,
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inline=False,
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show_api=False,
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show_error=False,
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)
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