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I tried replicating results from the paper on the DeepVesselNet synthetic dataset but my predictions look weird. Even what I'm assuming is the ground truth graph for a volume doesn't really seem to match when I visualize them. My first point of uncertainty with regard to data loading is as follows:
I tried replicating results from the paper on the DeepVesselNet synthetic dataset but my predictions look weird. Even what I'm assuming is the ground truth graph for a volume doesn't really seem to match when I visualize them. My first point of uncertainty with regard to data loading is as follows:
The VTK archive once unpacked looks like this:
The raw and seg files, however don't follow the same nested folder structure, instead being unpacked like this:
Owing to this, the dataset preparation code in
generate_data.py
fails for the VTK files since it doesn't account for the nested folder structure.
How I got around this is by doing:
What this gives me is:
I wanted to check if this is this is what the expected triplets of files would be?
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