Hello Gopi, > 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?
Yes, sounds totally reasonable to me. > I think it would be better to decide the models now, once decided we can start > focusing on Model Implementation & Visualization. Do you already have a preference, I don't really want to dictate what model has to be implemented, but I can take a closer look at the models you find interesting and then we can discuss from that point? Let me know what you think. Thanks, Marcus > On 5. Mar 2020, at 17:25, Gopi Manohar Tatiraju <[email protected]> wrote: > > 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 > <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 > > <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 > > <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] > <mailto:[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 > <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 > > <https://medium.com/@arthur_ouaknine/review-of-deep-learning-algorithms-for-image-semantic-segmentation-509a600f7b57>) > <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] > <mailto:[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] >> <mailto:[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 >> <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 >> [email protected] <mailto:[email protected]> >> https://github.com/heisenbuug >> <https://github.com/heisenbuug>_______________________________________________ >> mlpack mailing list >> [email protected] <mailto:[email protected]> >> http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack >> <http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack> > > _______________________________________________ > mlpack mailing list > [email protected] > http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
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