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README
Apache-2.0

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PaddleVideo

python version paddle version

简介

PaddleVideo旨在打造一套丰富、领先且实用的Video工具库,旨在帮助开发者更好的进行视频领域的学术研究和产业实践。


近期更新

  • 开源视频标注工具🌟BILS,欢迎下载安装包体验~
  • 发布轻量化行为识别模型🔥PP-TSMv2, Kinetics-400精度75.16%,25fps的10s视频cpu推理时间仅需456ms.各模型性能对比benchmark.
  • 新增知识蒸馏功能.
  • 新增基于transformer的行为识别模型TokenShift.
  • 新增基于骨骼点的行为识别模型2s-ACGNCTR-GCN.
  • 新增单阶段时空动作检测模型YOWO.

👀 🌟 《产业级视频技术与应用案例》系列课程回放链接: https://aistudio.baidu.com/aistudio/course/introduce/6742 🌟

​ 💖 欢迎大家扫码入群讨论 💖

  • 添加成功后回复【视频】加入交流群

特性

支持多种Video相关前沿算法,在此基础上打造产业级特色模型PP-TSMPP-TSMv2,并打通数据生产、模型训练、压缩、预测部署全流程。

快速开始

场景应用

PaddleVideo场景应用覆盖体育、互联网、工业、医疗行业,在PP-TSM的基础能力之上,以案例的形式展示利用场景数据微调、模型优化方法、数据增广等内容,为开发者实际落地提供示范与启发。详情可查看应用

文档教程

许可证书

本项目的发布受Apache 2.0 license许可认证。

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简介

PaddleVideo是飞桨官方出品的视频模型开发套件,旨在帮助开发者更好的进行视频领域的学术研究和产业实践。基于模块化的设计,提供丰富的视频算法实现、产业级的视频算法优化与应用,包括安防、体育、互联网、媒体等行业的动作定位与识别、行为分析、智能封面、视频标注、视频打标签等,涵盖动作识别与视频分类、动作定位、动作检测、多模态文本视频检索等技术。 展开 收起
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