[mlpack] GSOC 2021 project ideas

[Marcus Edel]

Hello Anmolpreet,

I like the idea, also are you aware of https://github.com/Netflix/vmaf? <https://github.com/Netflix/vmaf?>
I really like what Netflix put together.

Thanks,
Marcus

> On 13. Mar 2021, at 17:16, Ryan Curtin <ryan at ratml.org> wrote:
> 
> Hi Anmolpreet,
> 
> These sound like nice ideas.  It seems likely to me that it would be
> possible to implement more than one of these in the summer, but also you
> should be sure to think about example usages: if we have many different
> quality metrics, that is great, but what is maybe more important to
> drive users to them is coherent and clear examples demonstrating their
> usage.  So you may want to ensure that documentation and examples are
> part of the plan also. :)
> 
> I hope this is helpful!  I'm not deeply involved with #2294, so others
> may have other comments too.
> 
> Thanks!
> 
> Ryan
> 
> On Sat, Mar 13, 2021 at 11:55:22PM +0530, Anmolpreet Singh wrote:
>>   Hello all!
>> 
>>    
>> 
>>   Being with MLpack community for some time I realized a few ideas which can
>>   be implemented during period of GSOC 2021. Taking into consideration the
>>   shorter time this year I want to propose the following idea of
>>   implementing  some useful metrics of ML as a GSOC 2021 summer project.
>> 
>>    
>> 
>>   The structural similarity index measure (SSIM) is a method for predicting
>>   the perceived quality of images or measuring the similarity between 2
>>   images considering the structural information. It has good applications in
>>   image compression (checking quality of compressed image), image
>>   restoration and pattern recognition. I think it will be some interesting
>>   stuff to add in MLpack, as it is an important part of image processing.
>>   Also, its need is highlighted from the issue #2294(Addition of essential
>>   metrics only) which is pending due to issues in implementation. So, it
>>   will be good if is done in an organized way under guidance of mentors. I
>>   have also gone through a couple of recent research papers regarding
>>   improvements in this.
>> 
>>    
>> 
>>   PSNR is another image quality metric which has wide use in digital image
>>   processing. I feel that Metrics like these which have tremendous use will
>>   fit good in MLpack. Also, discussion will bring more metrics into
>>   consideration.
>> 
>>    
>> 
>>   In addition, I may also add metrics like Top K accuracy and some other
>>   needful metrics (suggestions are welcomed) which may help in evaluating
>>   the performance of various models. Recently,  I have done a data science
>>   project (chat-bot using NLP)  and planning to continue my journey with
>>   this idea.
>> 
>>    
>> 
>>   Any feedback or suggestion for these ideas will be really helpful for
>>   further planning this according to the discussion.
>> 
>>   Regards,
>> 
>>   Anmolpreet Singh
>> 
>>    
> 
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> 
> -- 
> Ryan Curtin    | "We need some time for some things to happen!"
> ryan at ratml.org |   - Bells
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