Welcome update to OpenMMLab 2.0

Description

I am Vansin, the technical operator of OpenMMLab. In September of last year, we announced the release of OpenMMLab 2.0 at the World Artificial Intelligence Conference in Shanghai. We invite you to upgrade your algorithm library to OpenMMLab 2.0 using MMEngine, which can be used for both research and commercial purposes. If you have any questions, please feel free to join us on the OpenMMLab Discord at https://discord.gg/A9dCpjHPfE or add me on WeChat (ID: van-sin) and I will invite you to the OpenMMLab WeChat group.

Here are the OpenMMLab 2.0 repos branches:

	OpenMMLab 1.0 branch	OpenMMLab 2.0 branch
MMEngine		0.x
MMCV	1.x	2.x
MMDetection	0.x 、1.x、2.x	3.x
MMAction2	0.x	1.x
MMClassification	0.x	1.x
MMSegmentation	0.x	1.x
MMDetection3D	0.x	1.x
MMEditing	0.x	1.x
MMPose	0.x	1.x
MMDeploy	0.x	1.x
MMTracking	0.x	1.x
MMOCR	0.x	1.x
MMRazor	0.x	1.x
MMSelfSup	0.x	1.x
MMRotate	0.x	1.x
MMYOLO		0.x

Attention: please create a new virtual environment for OpenMMLab 2.0.

Research direction

No files, tests, or entry points are named. Start by reviewing the repository documentation and this OpenMMLab 2.0 announcement to identify a specific migration or documentation target; the issue needs an explicit scope and completion criterion before work can be considered done.

Written by the indexing model from the issue text.

Assessment

Tech stack

python

Domain

documentation

Issue type

Documentation

Difficulty

5/5

Estimated time

Over a week

Activity status

Stale

Clarity

Needs clarification

Newbie friendliness

20/100

Welcome update to OpenMMLab 2.0

Description