[mlpack] GS0C 2020

[Gopi Manohar Tatiraju]

Hey Mentors,

I just went through the idea page for GSoC 2020 Mlpack and found that this
project was added
https://github.com/mlpack/mlpack/wiki/SummerOfCodeIdeas#visualization-tool
In my previous mail I mentioned that I was planning to do this as a part of
https://github.com/mlpack/mlpack/wiki/SummerOfCodeIdeas#application-of-ann-algorithms-implemented-in-mlpack
And also a new project regarding Improvisation of ANN module was added(
https://github.com/mlpack/mlpack/wiki/SummerOfCodeIdeas#improvisation-and-implementation-of-ann-modules
).

I was also planning to add the required functionalities by myself in the
pre-coding phase but now as these are assigned to different projects I
think we can try and implement more than 2-3 models over the course of
summer and perform testing. Also if nobody takes up the visualisation
project I still would like to perform that under the  Application of ANN
Algorithms Implemented in mlpack.

Regards.
Gopi M Tatiraju

On Mon, Mar 2, 2020 at 12:07 PM Gopi Manohar Tatiraju <deathcoderx at gmail.com>
wrote:

> Hey Marcus,
> I agree that we should focus on one topic only, I am more interested in
> Segmentation Models.
>
> I started implementing SegNet(https://github.com/mlpack/models/issues/54)
> but as UpSampling Layer is not implemented in mlpack I got stuck. As you
> can see in the discussion said that they will implement of the layer is in
> progress and I think soon we will know the status.
>
> Also, I did some more reading regarding Segmentation Models, I think
> reading survey papers on this topic would be a better option as by that we
> can analyze the speed and requirements of the model and then can implement
> those which provides better timings. What do you think?
>
> I read this article(
> https://medium.com/@arthur_ouaknine/review-of-deep-learning-algorithms-for-image-semantic-segmentation-509a600f7b57
> )
> [image: image.png]
>
> I think it would be better to decide the models now, once decided we can
> start focusing on Model Implementation & Visualization.
>
> Regards.
> Gopi M Tatiraju
>
> On Sun, Mar 1, 2020 at 11:54 PM Marcus Edel <marcus.edel at fu-berlin.de>
> wrote:
>
>> 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
>>
>> 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
>> Mentors: Marcus Edel, Sumedh Ghaisas, Shikhar Jaiswal
>> Reagrds
>>
>> Gopi M Tatiraju
>> deathcoderx at gmail.com
>> https://github.com/heisenbuug
>> _______________________________________________
>> mlpack mailing list
>> mlpack at lists.mlpack.org
>> http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
>>
>>
>>
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