OpenMMLab CodeCamp 2023, Apply NOW!

[fangyixiao18]

Introduction

超级视客营再度启航，展现编程实力，共塑开源未来！
第二期超级视客营提供 10 个课题方向、150+ 不同难度课题任务，包括但不限于基础架构、预训练、目标检测、AIGC 等多个领域。活动算力由北京超级云计算中心提供支持，为大家的开发保驾护航。
The OpenMMLab CodeCamp has BEGUN! Harness programming skills and shaping the future of OpenMMLab.
Oriented to developers worldwide, released 150+ tasks in 10 popular areas, including fundamental framework, pre-training, AIGC and more.

Process

• 进入超级视客营活动页面 >> 查看任务详情 >> 选择感兴趣的方向（如MMEngine）>> 选择任务难度 >> 选择意向任务（可填报 3 个志愿）

• 点击立即报名

• 提交报名申请表

• 等待结果通知：站内信、邮箱、短信

  • 申请成功 >> 开始任务，在成功通知的结果中将获取 TaskID
  • 申请失败 >> 再次提交任务申请

• 提交PR，PR title 规范如下： '[CodeCamp2023-TaskID] xxx'（例如：TaskID为 325 的任务 Find the proper learning rate，PR 的 Title 应为 '[CodeCamp2023-325] Find the proper learning rate'）

• PR经过review，合入代码库，该任务标记完成

• 即可领取下一个任务

• Enter the Event Page >> View task details >> Choose the direction (such as MMEngine) >> Choose task difficulty >> Choose the desired task (you can have 3 choices)

• Click the Register Now

• Wait for the result notification: on-site messages, email

• Working on the task

• Submit PR, PR title format: '[CodeCamp2023-TaskID] xxx' (For example: For TaskID 325 "Find the proper learning rate", the PR Title should be '[CodeCamp2023-325] Find the proper learning rate')

• Once the PR has been reviewed and merged into the codebase, the task will be marked as complete

• You can then pick up the next task

MMPreTrain Task List

任务	Task	Difficulty
支持 ImageNet-A,R,S,CSupport ImageNet-A, R, S, C in MMPreTrain	Add support for the ImageNet Out-of-Distribution (OOD) dataset in MMPreTrain.	Medium
新版 config 适配 ResNet	The new version of config adapts ResNet algorithm:	Easy
新版 config 适配 BeiTv2	New Version of config Adapting BeitV2 Algorithm:	Easy
新版 config 适配 MAE	New Version of config Adapting MAE Algorithm:	Easy
新版 config 适配 ConvNeXt	New Version of config Adapting ConvNeXt Algorithm:	Easy
新版 config 适配 Swin Transformer	New Version of config Adapting Swin Transformer Algorithm:	Easy
新版 config 适配 ViT	New Version of config Adapting Vision Transformer Algorithm:	Easy
新版 config 适配 MobileNet	New Version of config Adapting MobileNet Algorithm:	Easy
多模态数据集文档补充 - COCO Retrieval	Support retrieval tasks with COCO Retrieval dataset	Easy
多模态数据集文档补充 - COCO Caption	Support image captioning task with COCO Caption dataset	Easy
多模态数据集文档补充 - RefCOCO	Support detection task with RefCOCO dataset	Easy
多模态数据集文档补充 - ScienceQA	Support question answering task with ScienceQA dataset	Easy
多模态数据集文档补充 - COCO VQA	Support question answering task with COCO VQA dataset	Easy
支持 mPLUG-owl 多模态算法推理	Support for mPLUG-owl multimodal algorithm inference	Hard

You will gain

• 核心开发者 1 对 1 指导 One-on-one tutoring from core developers of the codebase
• 精美电子奖品 Electronic prizes
• 结营证书及周边 OpenMMLab certificate and swag
• 面试直通车 Fast pass of interview
  Due to delivery issues,the majority of physical prizes are limited to mainland of China.

Group discussion

WeChat：

Discord：https://discord.gg/KuWMWVbCcD
More Details：https://openmmlab.com/activity/codecamp