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组织近期活动的公开
内容说明:Video Clip Extraction by description ,简称VCED。VCED可以通过你的文字描述来自动识别视频中相符合的片段进行视频剪辑。该项目基于 MLOps 框架 Jina 与 CLIP 模型搭建,通过前后端分离的模式,帮助你快速地接触前沿的多模态 AI 搜索技术。
学习vced然后进行落地实践
项目实践学习的介绍:
https://mp.weixin.qq.com/s/hk6KnJhAmBUTU_2uU5XfdA
学习地址:
https://github.com/datawhalechina/vced
Jina 开源地址:https://github.com/jina-ai/jina
项目共建地址:
https://openi.pcl.ac.cn/Learning-Develop-Union/Learn202301102329257
想要参与欢迎联系:3387903981@qq.com(报名截止时间:2023年01月30日)
(多模态应用感兴趣,有一定前后端经验的开发者,建议开发环境:macOS / Linux)
【Datawhale赛事学习II】
2022首届雪浪算力开发者大赛:https://mp.weixin.qq.com/s/pObhjZtHLTsDjgiZekDbvA
价值:工业互联网数据、36万奖金、机器学习应用
将邀请Datawhale成员,浙大人工智能协会、学习发展联盟(LDU)等参与学习经验分享,招募一起学习的同学。
学习内容:需要根据历史检测结果,利用大数据分析、机器学习等方法,提取特征,建立合适的分类模型,提高企业机检准确率,着力解决工业生产中的问题。
️注意:非学习不用进群。(群满截止)
欢迎比赛的学习打卡在openi上进行开源,算力免费哦
Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》