A library to facilitate machine learning on large, multi-dimensional images.
Project description
A library to facilitate machine learning on large, multi-dimensional images.
gunpowder
allows you to assemble a pipeline from
data loading
over
pre-processing,
random batch sampling,
data augmentation,
pre-caching,
training/prediction, to
storage of results
on arbitrarily large volumes of
multi-dimensional images. gunpowder
is not tied to a particular learning
framework, and thus complements libraries like
torch
,
tensorflow
.
The full documentation can be found here.
gunpowder
was originally written by Jan Funke and is inspired by
PyGreentea
by William Grisaitis,
Fabian Tschopp, and Srini Turaga.
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