Git Product home page Git Product logo

minidetection's Introduction

嵌入式目标检测

这个项目从工程和硬件综合优化的方法来实现移动端高速检测,我声明一下这个模型是我改过一个原模型,目前速度和准确率还存在小问题。
希望能与大家交流解决这个问题实现95FPS目标

模型最大的优点在速度相对优势的情况下  体积是普通模型的100/1分之一

CPU的单机PC上测300ms,1200*960尺寸图片。其他相关参数我会补全,最近比较忙大家先自己测测。这个目标的准确率和速度可以更好,我会在第二版为大家讲细节。
先开源出来解决大家面临模型很大在ARMLinux上的问题。

如果你对谷歌的目标检测API使用不熟悉请严格按照我的教程,否则问题很多。

刚需条件:tensorflow=1.10.0  cuda =8/9都可以。

minidetection's People

Contributors

eric3911 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.