# Generating augmented training data from nrrd file using random translations, rotations, and deformations

**URL:** <https://discourse.slicer.org/t/generating-augmented-training-data-from-nrrd-file-using-random-translations-rotations-and-deformations/11810>\
**Category:** Support\
**Tags:** deep-learning\
**Created:** [May 31, 2020, 4:09pm UTC](https://discourse.slicer.org/t/generating-augmented-training-data-from-nrrd-file-using-random-translations-rotations-and-deformations/11810 "2020-05-31T16:09:48Z")\
**Posts on this page:** 1\
**Showing post:** 3

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**Author:** ![lassoan](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/lassoan/32/13_2.png) [@lassoan](https://discourse.slicer.org/u/lassoan)\
**Post date:** [May 31, 2020, 6:08pm UTC](https://discourse.slicer.org/t/generating-augmented-training-data-from-nrrd-file-using-random-translations-rotations-and-deformations/11810/3 "2020-05-31T18:08:30Z")

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Can you tell us a bit more about what you are trying to achieve?

Slicer segmentations are standard 3D or 4D nrrd files with [additional metadata](http://apidocs.slicer.org/master/classvtkMRMLSegmentationStorageNode.html#details), which can be read with any nrrd reader. For 3D medical image visualization in Python, I would recommend to use Slicer. I have not seen anything that would even come close to it. You can even [use it from Jupyter notebooks](https://discourse.slicer.org/t/run-slicer-in-your-web-browser-as-a-jupyter-notebook-or-as-a-full-application/11569).

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