Coder Social home page Coder Social logo

fast-object-detection-nano's Introduction

fast-object-detection-nano

程序在nano上面的安装教程

1. 首先需要在nano上面配置pytorch

https://blog.csdn.net/donkey_1993/article/details/102794617

2. 然后需要编译pytorch的torch2trt使用tensorrt加速

https://github.com/NVIDIA-AI-IOT/torch2trt

3. 下载本工程，然后运行make.sh编译工程

sudo bash make.sh

4. 修改demo.py里面的视频路径。

sudo python3 demo.py 就可以跑起来了

训练代码

直接使用的是voc2007的数据集。

sudo python3 train_RFB.py

感谢下面两位作者

https://github.com/ruinmessi/RFBNet https://github.com/songwsx/RFB-Person

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.