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This repository has been archived by the owner on Mar 17, 2021. It is now read-only.
In commit 25e6204, the way that CSV data files were handled was last modified. Specifically, in niftynet.io.image_sets_partitioner.ImageSetsPartitioner, method load_data_sections_by_subject:
This skips all sections where a 'csv_data_file' has been specified. I can't find the part of the code where these sections are supposed to be loaded, and can't find a reference documenting this.
I was looking into this because currently I have to perform a "hack" in order to input the class label as conditioning data in GANApplication, where I need to pass the label as a 1x1x1 image for each subject. Also, for ClassificationApplication, how would the class label be specified? Is this a bug? I am willing to submit a pull request fixing this, but I wanted to make sure that I understand the reason behind this fully.
The text was updated successfully, but these errors were encountered:
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In commit 25e6204, the way that CSV data files were handled was last modified. Specifically, in
niftynet.io.image_sets_partitioner.ImageSetsPartitioner
, methodload_data_sections_by_subject
:This skips all sections where a
'csv_data_file'
has been specified. I can't find the part of the code where these sections are supposed to be loaded, and can't find a reference documenting this.I was looking into this because currently I have to perform a "hack" in order to input the class label as conditioning data in
GANApplication
, where I need to pass the label as a 1x1x1 image for each subject. Also, forClassificationApplication
, how would the class label be specified? Is this a bug? I am willing to submit a pull request fixing this, but I wanted to make sure that I understand the reason behind this fully.The text was updated successfully, but these errors were encountered: