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 <[email protected]> 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 <[email protected]> > 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 <[email protected]> >> 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 >> [email protected] >> https://github.com/heisenbuug >> _______________________________________________ >> mlpack mailing list >> [email protected] >> http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack >> >> >>
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