[GitHub] thomelane opened a new pull request #10055: Added tutorial on how to use data augmenters.

[GitBox <gi...@apache.org>]

thomelane opened a new pull request #10055: Added tutorial on how to use data augmenters.
URL: https://github.com/apache/incubator-mxnet/pull/10055
 
 
   ## Description ##
   
   Added tutorial on methods of using data augmenters.
   
   ## Checklist ##
   ### Essentials ###
   
   N/A, as only added a single markdown file.
   
   ### Changes ###
   
   Added tutorial.
   
   ## Comments ##
   
   Quote from tutorial:
   
   In this tutorial we discuss the different interfaces avaliable in MXNet to perform data augmentation. We start by showing a complete example using Gluon's [`mxnet.gluon.data.Dataset`](https://mxnet.incubator.apache.org/api/python/gluon/data.html#mxnet.gluon.data.Dataset), and then unpack the example to gain a greater understanding of the internals. In the process you'll learn about augmentation functions, [`mxnet.image.Augmenter`](https://mxnet.incubator.apache.org/api/python/image/image.html?highlight=augmen#mxnet.image.Augmenter) classes and Augmenter lists. We also provide examples using [`mxnet.image.ImageIter`](https://mxnet.incubator.apache.org/api/python/image/image.html?highlight=imageiter#mxnet.image.ImageIter) if you haven't yet moved to Gluon.
   

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