Open tomvars opened 6 years ago
perhaps leave a flexible interface for the advanced features as well:
layer/discrete_label_normalisation.py
-- relevant issues:
https://cmiclab.cs.ucl.ac.uk/CMIC/NiftyNet/issues/88: Allow for patch sampling from GZip images without loading the full dataset Use this package: https://github.com/pauldmccarthy/indexed_gzip
This issue is to track progress on new features for the CSVReader
The current version is in the
refactoring-data-app
branch. Its intended use is to be called within anySampler
such that the user can load CSV data as easily as they can load images. This data could be used as input to a network or as the target.Features
Sampler
which uses information from a CSV to specify which patches to sample