[Attention] OpenMMLab Codecamp

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Introduction

Interested in deeply participating in OpenMMLab projects? Want to learn more about OpenMMLab's awesome tools without wasting plenty of time reading docs? The First OpenMMLab Codecamp has begun!! We provide more than a hundred tasks from seventeenth research directions for you to pick. Whether you are a novice in AI or a senior developer, there are suitable tasks for you to participate in. We will provide quick response and full guidance to help you smoothly complete those tasks and upgrade to a core contributor of OpenMMLab. We combined Beijing Super Cloud Center to support with computing power.

How to participate?

Select the task you are interested in and submit registration here. We will inform you in three days if you have enrolled for the tasks, and then you can formulate the task plan with tutor and start development ! Once your PR has passed preliminary review, you can apply for the next task or just wait for the award!
More details: OpenMMLab Activity page。
Here, we listed the tasks in MMRotate, welcome to submit registration!

任务题目Task	任务描述Discription	技术标签Related skills	难易程度Difficulty	积分数Credits
Add RotatedCocoMetric of MMRotate to MMEval and complete the adaptation	Add RotatedCocoMetric of MMRotate to MMEval and complete the adaptation - Original implementation：https://github.com/open-mmlab/mmrotate/blob/dev-1.x/mmrotate/evaluation/metrics/rotated_coco_metric.py - Tutorial：https://www.bilibili.com/video/BV1Ev4y1d7nK/ - Demo：open-mmlab/mmeval#50	Python	Medium	30
Support RIDet	Support RIDet in MMRotate, please refer to official code: https://github.com/ming71/RIDet	Python	Medium	30
Support RSDet	Support RSDet in MMRotate, please refer to official code: https://github.com/yangxue0827/RotationDetection/tree/main/configs/DOTA/rsdet	Python	Medium	30
Support DCL	Support DCL in MMRotate, please refer to official code: https://github.com/yangxue0827/RotationDetection/tree/main/configs/DOTA/dcl	Python	Medium	30
Support ProbIoU loss	Support ProbIoU loss in MMRotate, please refer to official code: https://github.com/ProbIOU/probiou-sample	Python	Medium	30
Support FAIR1M dataset	Support FAIR1M dataset in MMRotate, please refer to https://github.com/Jittor/JDet/blob/master/docs/fair.md. Download link：https://pan.baidu.com/s/1alWnbCbucLOQJJhi4WsZAw code：u2xg.	Python	Medium	30
Support DIOR-R dataset	Support DIOR-R dataset in MMRotate 1. x, download link: https://pan.baidu.com/s/1w8iq2WvgXORb3ZEGtmRGOw，password: 554e. Please refer to #320	Python	Medium	30
Support OHD-SJTU dataset	Support OHD-SJTU dataset in MMRotate 1. x, download link: https://thinklab.sjtu.edu.cn/OHD-SJTU.html	Python	Medium	30
Support Object Heading Detection	1. Add 360 ° angle definition. 2. Experiment on HRSC2016 or OHD-SJTU data set.	Python	Hard	80
Support Rotated RTMDet	Support Rotated RTMDet, a high-precision model for rotated object detection	Python	Hard	80
Update English documents and translate them into Chinese	Update English documents and translate them into Chinese, see: #554	Python	Easy	10
Add typehint for code	Add typehint for code, see: #588	Python	Easy	10

Sign Up Here : application form

By the way, we strongly encourage you to publish your experience on social media like medium or twitter with tag "OpenMMLab Codecamp" to share your experience with more developers!

https://discord.gg/KuWMWVbCcD

Discussion group: discord link

Welcome to join the discussion below or in discord. Come to take the challenge, and become a contributor to the OpenMMLab !