Hey Marcus,
Sorry for late reply, I was busy with my exams but they are over now and I
can give my complete attention here.
I want to implement Image Segmentation Models for sure. I want to go with
two models:
1. SegNet
2. SqueezeNet
- Main attraction of SegNet is it's Encoder-Decoder
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
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
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
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
