Update app.py
Browse files
app.py
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@@ -2,6 +2,7 @@ import gradio as gr
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import numpy as np
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import tifffile as tiff
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from aicsimageio import AICSImage # To handle .czi files
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# Placeholder for your 3D model
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def process_3d_image(image):
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@@ -36,18 +37,53 @@ def process_file(file):
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output_path = "output_mask.tif"
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tiff.imwrite(output_path, binary_mask)
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return output_path
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#
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def
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iface = gr.Interface(
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fn=interface,
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inputs=
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title="3D Image Processing with Binary Mask Output",
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description="Upload a 3D image in .tif or .czi format. The model will process the image and output a 3D binary mask."
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)
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if __name__ == "__main__":
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import numpy as np
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import tifffile as tiff
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from aicsimageio import AICSImage # To handle .czi files
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import matplotlib.pyplot as plt
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# Placeholder for your 3D model
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def process_3d_image(image):
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output_path = "output_mask.tif"
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tiff.imwrite(output_path, binary_mask)
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return image, binary_mask, output_path
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# Function to generate the slice visualization
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def visualize_slice(image, mask, slice_index):
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"""
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Visualizes a 2D slice of the image and the corresponding mask at the given index.
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"""
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fig, axes = plt.subplots(1, 2, figsize=(12, 6))
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# Extract the 2D slices
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image_slice = image[slice_index, :, :]
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mask_slice = mask[slice_index, :, :]
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# Plot image slice
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axes[0].imshow(image_slice, cmap="gray")
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axes[0].set_title("Image Slice")
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axes[0].axis("off")
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# Plot mask slice
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axes[1].imshow(mask_slice, cmap="gray")
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axes[1].set_title("Mask Slice")
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axes[1].axis("off")
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# Return the plot as a Gradio-compatible output
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plt.tight_layout()
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plt.close(fig)
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return fig
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# Gradio Interface function
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def interface(file, slice_index):
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image, mask, output_path = process_file(file)
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fig = visualize_slice(image, mask, slice_index)
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return fig, output_path
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# Gradio Interface
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iface = gr.Interface(
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fn=interface,
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inputs=[
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gr.File(label="Upload 3D Image (.tif or .czi)"),
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gr.Slider(minimum=0, maximum=100, step=1, label="Slice Index") # Adjust max value based on image size
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],
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outputs=[
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gr.Plot(label="2D Slice Visualization"),
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gr.File(label="Download Binary Mask (.tif)")
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],
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title="3D Image Processing with Binary Mask Output",
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description="Upload a 3D image in .tif or .czi format. The model will process the image and output a 3D binary mask. Use the slider to navigate through the 2D slices."
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)
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if __name__ == "__main__":
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