A library to facilitate machine learning on 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
tensorflow or
caffe.
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.