• Stars
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  • Rank 30,998 (Top 0.7 %)
  • Language
    Python
  • License
    Apache License 2.0
  • Created about 4 years ago
  • Updated 5 months ago

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Repository Details

Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video tagging and sport action detection.

English | 中文

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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