open-mmlab/mmaction2

[PR Welcome] More data augmentation methods

Open

#436 opened on Dec 12, 2020

View on GitHub
 (10 comments) (5 reactions) (1 assignee)Python (1,137 forks)batch import
discussionhelp wantedopen research

Repository metrics

Stars
 (3,648 stars)
PR merge metrics
 (No merged PRs in 30d)

Description

Describe the feature More data augmentation methods.

Motivation When training our own models, we need to TRY EVERYTHING...

Additional context

  • MMaction2 existing data augmentation methods:
    • random flip.
    • all kinds of crop and resize
    • color jitter(brightness/contrast/saturation/hue)

Plans

More image augmentation methods could refer to PaddleClas.

Contributor guide

Research direction
Implement albumentations integration for video frame augmentation. Refer to existing imgaug integration and PaddleClas documentation for image augmentation methods.
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.
Half day
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
PythonPyTorch
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60