Hello Prince, thanks for reaching out, and thanks for all the contributions over the last weeks.
Personally, I would focus on one project, you can always implement another method if there is time left at the end, but since the models behind both ideas a somewhat different it makes sense to focus on a single one. Also, I think I said this before, but testing takes time, sometimes more time than the actual method implementation. Besides, documentation and writing a tutorial shouldn't be underestimated as well. That said I think each project is interesting and definitely enough work for a GSoC project. Thanks, Marcus > On 8. Mar 2020, at 09:49, Prince Gupta <princemit...@gmail.com> wrote: > > Hello everyone > I am Prince Gupta, currently a 1st year Engineering student from India. I've > been getting familiar with MLPack codebase, especially ANN and made some PRs > since February 2020. I wanted to get some opinions on the GSOC project I've > decided on. > I apologize in advance if this email gets too long. > > Earlier I discussed with @zoq about implementing YOLO for GSOC project but > @kartikdutt18 was already working on it, so I decided to change my project > idea as two people working on same thing will be redundant. > > For GSOC I would like to implement the following two applications of ANN: > 1) Neural Style Transfer > 2) Face Recognition > > To work on them I would also need to implement the following prerequisites > which I hope to implement before the GSOC period starts: > 1) VGG-19 Model for Neural Style Transfer > 2) Triplet Margin Loss for Face Recognition(I've opened a PR on it already > #2208) > 3) Inception Network for Face Recognition > If training is out of scope I'll try to use pre-trained weights. > > I would love to hear opinions on my project idea, is this sufficient? is this > too much? other things I should consider or anything else. > > Project: Application of ANN Algorithms Implemented in mlpack > Mentors: Marcus Edel, Sumedh Ghaisas, Shikhar Jaiswal, Saksham Bansal > > Thanks > Prince Gupta > Github ID: prince776 > _______________________________________________ > mlpack mailing list > mlpack@lists.mlpack.org > http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack _______________________________________________ mlpack mailing list mlpack@lists.mlpack.org http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
