open-mmlab/mmdetection3d

Roadmap of MMDetection3d

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#16 opened on Jul 13, 2020

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 (56 comments) (14 reactions) (0 assignees)Python (3,744 stars) (1,211 forks)batch import
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Description

We keep this issue open to collect feature requests from users and hear your voice. Our monthly release plan is also available here.

You can either:

  1. Suggest a new feature by leaving a comment.
  2. Vote for a feature request with 👍 or be against with 👎. (Remember that developers are busy and cannot respond to all feature requests, so vote for your most favorable one!)
  3. Tell us that you would like to help implement one of the features in the list or review the PRs. (This is the greatest things to hear about!)

V0.7.0 (October-November)

  • Switch visualization backend to Open3D
  • More performance on Waymo, nuScenes, SUN RGB-D, and ScanNet dataset

V0.6.0 (September)

  • Waymo Dataset (#118)
  • Batch Inference (#95)
  • CenterPoint (#49, #92)
  • 3DSSD (#83, #100, #104)
  • H3DNet (#53, #58, #105)

Contributor guide

Tech stack
pythonpytorch
Domain
machine learningaidata
Issue type
feature
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.
active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
clear
Prerequisites
PythonPyTorch3D object detection basics
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
10
Research direction
Review the roadmap in the issue description, focusing on uncompleted tasks like improving performance on Waymo dataset. Examine the existing codebase for Waymo support and metrics. Look at closed issues and PRs linked to Waymo to understand prior work. Propose specific optimizations or data augmentation strategies.