Git Product home page Git Product logo

zoooo0820 / paddlevideo Goto Github PK

View Code? Open in Web Editor NEW

This project forked from paddlepaddle/paddlevideo

0.0 1.0 0.0 102.15 MB

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。

License: Apache License 2.0

Python 95.01% Shell 3.49% CMake 0.27% C++ 1.22%

paddlevideo's Introduction

English | 中文

PaddleVideo

近期更新

  • 发布轻量化行为识别模型🌟PP-TSMv2🌟, Kinetics-400精度74.38%,25fps的10s视频cpu推理时间仅需433ms.
  • 新增知识蒸馏功能.
  • 发布各模型benchmark文档.
  • 更新快速开始文档.
  • 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.

👀 🌟 《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

简介

python version paddle version

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。


模型案例库

模型

行为识别方法
PP-TSM (PP series) PP-TSN (PP series) PP-TimeSformer (PP series) TSN (2D’) TSM (2D‘)
SlowFast (3D’) TimeSformer (Transformer‘) VideoSwin (Transformer’) AttentionLSTM (RNN‘) MoViNet (Lite‘)
基于骨骼点的动作识别方法
ST-GCN (GCN’) AGCN (GCN‘) CTR-GCN (GCN‘)
时序动作检测方法
BMN (One-stage‘)
视频时序分割
MS-TCN ASRF
时空动作检测方法
SlowFast+Fast R-CNN
多模态
ActBERT (Learning‘) T2VLAD (Retrieval‘)
视频目标分割
CFBI (Semi‘) MA-Net (Supervised‘)
单目深度估计
ADDS (Unsupervised‘)

数据集

动作识别
Kinetics-400 (Homepage) (CVPR'2017) UCF101 (Homepage) (CRCV-IR-12-01) ActivityNet (Homepage) (CVPR'2015) YouTube-8M (Homepage) (CVPR'2017)
动作定位
ActivityNet (Homepage) (CVPR'2015)
时空动作检测
AVA (Homepage) (CVPR'2018)
基于骨架的动作识别
NTURGB+D (Homepage) (IEEE CS'2016) FSD (Homepage)
单目深度估计
Oxford-RobotCar (Homepage) (IJRR'2017)
文本视频检索
MSR-VTT (Homepage) (CVPR'2016)
文本视频预训练
HowTo100M (Homepage) (ICCV'2019)

应用案例

Applications Descriptions
FootballAction 足球动作检测方案
BasketballAction 篮球动作检测方案
TableTennis 乒乓球动作识别方案
FigureSkating 花样滑冰动作识别方案
VideoTag 3000类大规模视频分类方案
MultimodalVideoTag 多模态视频分类方案
VideoQualityAssessment 视频质量评估方案
PP-Care 3DMRI医疗图像识别方案
EIVideo 视频交互式分割工具
Anti-UAV 无人机检测方案
AbnormalActionDetection 异常行为检测方案
PP-Human 行人分析场景动作识别方案

文档教程

赛事支持

许可证书

本项目的发布受Apache 2.0 license许可认证。

致谢

paddlevideo's People

Contributors

chajchaj avatar d-danielyang avatar dreamer121121 avatar elkyang avatar fred1991 avatar gt-zhangacer avatar heweiwang avatar huangjun12 avatar hydrogensulfate avatar hysunflower avatar kunkun0w0 avatar linrjing avatar lovejing0306 avatar lvjian0706 avatar lxz203000 avatar mmglove avatar mohui37 avatar shippingwang avatar thinksky5124 avatar ttjygbtj avatar txyugood avatar upupbo avatar voipchina avatar windstamp avatar xiaoguanghu01 avatar xiegegege avatar xyz-916 avatar zhanghandi avatar zoooo0820 avatar zwtu avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.