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[MXNET-103] Added tutorial on types of data augmentations. #10039
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thomelane
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We've moved to Gluon augmenters, see #10155 |
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@piiswrong I'll create a Gluon version of this when the Gluon augmenters are merged and docs have been added. I still think this is a useful reference for the mx.image Augmenters, and this will be put in the Module section of tutorials. |
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One of the main aims of this tutorial was to visually show the effects of each augmentation, so I expect this is unchanged from the Gluon transforms? |
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@rahul003 @szha @piiswrong can we get this merged? |
piiswrong
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Mar 26, 2018
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| # Custom Augmenters | ||
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| And if you're still hungry for more augmenters, it's easy to perform your own augmentation steps. Just create a function that performs the required steps, and use within the `transform` function of [`mxnet.gluon.data.vision.ImageRecordDataset`](https://mxnet.incubator.apache.org/api/python/gluon/data.html#mxnet.gluon.data.vision.datasets.ImageRecordDataset) or [`ImageFolderDataset`](https://mxnet.incubator.apache.org/api/python/gluon/data.html#mxnet.gluon.data.vision.datasets.ImageFolderDataset). If you're already using Augmenter lists, you can also inherit the `Augmenter` base class, and define your own `__call__` method. |
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Shouldn't mix gluon in here
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@piiswrong I've removed the Gluon |
Moved custom augmentation to FAQ.
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Description
Added tutorial on types of data augmentations (both augmentations that effect position and color).
Checklist
Essentials
N/A, as only added a single markdown file.
Changes
Added tutorial.
Comments
Contains images of each type of augmentation.
Contain asserts on array shapes, to allow future testing.
Intend to follow up with another tutorial on how to use Augmenters.