Lyken17 commented on issue #7376: MXbox -- a simple and flexible vision toolbox 
for mxnet framework.
URL: 
https://github.com/apache/incubator-mxnet/issues/7376#issuecomment-321681785
 
 
   @szha  Gluon's documentation seems to be under construction.  Could u show 
some examples of `mx.symbol`?  In fact `mxbox` provides 
[`mx.transforms.lambda`](https://github.com/Lyken17/mxbox/blob/master/mxbox/transforms/general.py#L140)
  which allows user to easily create extensions . Thus supports for `mx.symbol` 
should not be a trouble issue.
   
   @zhreshold Gluon and mxbox are both inspired by torchvision, so they have 
many same functions. What I think is to keep the relation of `mxbox` and 
`mxnet`  like `pytorch` and `torchvision` -- standalone but strongly connected. 
The advantage of doing this is people can develop `mxbox` without affecting 
`mxnet` (push to `mxbox` only), and user can always enjoy the latest update of 
mxbox from PyPi.
   
   Maintaining a standalone toolbox will not be a nightmare, instead, it brings 
faster update -- for example, a new network comes out, once I get the 
definition scripts and the pretrained weight, I can upload to `mxnet` and give 
a release immediately, where in mxnet, it requires a reviewer to merge in and 
extra time to release a new version on PyPi.
   
   We all aim for a good toolbox, and I think a standalone repo is a better 
choice. But as I mentioned, my free time on next semester is very limited, so 
to merge in or not, actually depends on later maintainers' idea. If he thinks 
merging to be a better choice, I will create a pull request after construction 
for `model` is finished.
   
   
 
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