dmlc/gluon-cv

[Discussion, Call for contribution] GluonCV 0.5 Roadmap

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#757 opened on Apr 24, 2019

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 (5 comments) (2 reactions) (0 assignees)Python (5,610 stars) (1,224 forks)batch import
call for contributionhelp wanted

Description

Hi,

I am opening a discussion thread for roadmap towards next release to everyone. Specifically, we are looking for:

  • New features that are useful to your research and projects
  • Improvements and patches to existing features

If you have any item that you'd like to propose to have in the roadmap, please do:

  • Create (or locate existing) issue for the item, note the issue number.
  • Comment in this issue: 1) the above issue number, 2) one sentence of what the item is about and why it's useful to you.
  • Indication on whether you'd be willing to help out on the item.

Projects

Models

APIs

  • Added API to visualize gluon networks #722

Scripts

  • Fix pose estimation #703

Improvements

  • Faster/Mask-RCNN FPN enhancement #700

I'll be collecting scattered bug fixes in release note later.

@dmlc/gluon-vision @pengzhao-intel @xinyu-intel @husonchen @kevinthesun @Laurawly @yidawang @ThomasDelteil @chinakook

Contributor guide

Tech stack
python
Domain
machine learningapi
Issue type
research
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
5
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
over 1 week
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
unclear
Prerequisites
None
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
10
Research direction
This issue is a discussion for the GluonCV 0.5 roadmap. It lists potential features, models, APIs, and improvements but does not provide a concrete task for a contributor. To proceed, one would need to identify a specific sub issue from the list, such as 'Fix pose estimation #703' or 'Add API to visualize gluon networks #722', and then investigate the linked issues for more details. The repository is written in Python and uses MXNet, so familiarity with deep learning and the GluonCV codebase is required.