PyPI 官网下载 | gunpowder-1.1.1.tar.gz

 [](https://travis-ci.org/funkey/gunpowder) A library to facilitate machine learning on large, multi-dimensional images. `gunpowder` allows you to assemble a pipeline from [data loading](http://funkey.science/gunpowder/api.html#source-nodes) over [pre-processing](http://funkey.science/gunpowder/api.html#image-processing-nodes), [random batch sampling](http://funkey.science/gunpowder/api.html#randomlocation), [data augmentation](http://funkey.science/gunpowder/api.html#augmentation-nodes), [pre-caching](http://funkey.science/gunpowder/api.html#precache), [training/prediction](http://funkey.science/gunpowder/api.html#training-and-prediction-nodes), to [storage of results](http://funkey.science/gunpowder/api.html#output-nodes) on arbitrarily large volumes of multi-dimensional images. `gunpowder` is not tied to a particular learning framework, and thus complements libraries like [`torch`](https://pytorch.org/), [`tensorflow`](https://www.tensorflow.org/), or [`caffe`](http://caffe.berkeleyvision.org/). The full documentation can be found [here](https://funkey.github.io/gunpowder). `gunpowder` was originally written by Jan Funke and is inspired by [`PyGreentea`](https://github.com/TuragaLab/PyGreentea) by William Grisaitis, Fabian Tschopp, and Srini Turaga.