open-mmlab/mmaction2

📝 A List of Welcoming Features

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#1,446 opened on Feb 15, 2022

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Description

Call for Contributors: https://openmmlab.medium.com/be-an-openmmlab-contributor-c9087428062a

Here we maintain a list of welcoming features proposed by the community. Our developer may consider integrating them into MMAction2. Besides, we highly encourage users to implement them and raise a PR.

  1. A Custom Training Pipeline for Spatio-Temporal Action Detection. #1443 , #1318 , #1292 , #604
  2. Support AVA-Kinetics. #853
  3. Support HACS. #1331
  4. Support Charades. (The feature is partially implemented in #788 , thanks @congee524 . Anyone who would like to work on this feature can refer to the PR #788. )
  5. Lack of SOTA Action Detection model. #1124
  6. TensorRT Support. #1424
  7. Support SGN. #1463 (It is easy to implement, I guess it may take at most 1 or 2 days)

Contributor guide

Research direction
Select a feature from the list, read the linked issues and PRs for context, and implement it. Starting with SGN (issue #1463) is recommended as it is considered easy and may take 1-2 days.
Tech stack
python
Domain
backendmachine learning
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonGit
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60