[mlpack] GS0C 2020

[Marcus Edel]

Hello Gopi,

Regarding the proposal are there any specific models you have in mind?

As mentioned on the issue itself, I would start with a model that provides fast
timings for the CPU and GPU as well, mobilenet or squeezenet are two examples.
Personally, I would focus on a single topic, so either object detection or
segmentation, rather have one polished model instead of two that are okay.

About the visualize part, the cool thing about the models repo is, we don't have
to care so much about dependencies, so if you think OpenCV is the best option,
fine with me.

Thanks,
Marcus

> On 28. Feb 2020, at 15:25, Gopi Manohar Tatiraju <deathcoderx at gmail.com> wrote:
> 
> Hey,
> Regarding adding more models in Mlpack, you are already familiar with my basic idea. I have already started working on it and by now I have a good idea about the functionality and architecture of Mlpack library. 
> 
> https://github.com/mlpack/models/issues/54 <https://github.com/mlpack/models/issues/54>
> 
> Regarding the proposal are there any specific models you have in mind? I am thinking about models on Image Segmentation and Detection. 
> 
> Atleast two models which can be implemented directly without adding any new layer in Mlpack and remaining by adding new layers throughout the library so that they can be used for future implementations as well increasing the functionality of the library. This will also asure that we will be implementing atleast 2 models as creating the architecture only using Mlpack's already implemented functionality will be a bit easier than to implement models and layers. 
> 
> Also I think we need a separate module to visualize these algorithms, we can do that using OpenCV. This will be very helpful as image processing is only as useful if we can visualize it. 
> 
> What are your views?
> 
> Project: https://github.com/mlpack/mlpack/wiki/SummerOfCodeIdeas#application-of-ann-algorithms-implemented-in-mlpack <https://github.com/mlpack/mlpack/wiki/SummerOfCodeIdeas#application-of-ann-algorithms-implemented-in-mlpack>
> Mentors: Marcus Edel, Sumedh Ghaisas, Shikhar Jaiswal
> Reagrds
> 
> Gopi M Tatiraju 
> deathcoderx at gmail.com <mailto:deathcoderx at gmail.com> 
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