Giter Site home page Giter Site logo

unet_erythema_detection's Introduction

Unet_erythema_detection

A basic neural network for image segmentation.

前期准备

1.在logs文件夹中下载h5权重文件,百度网盘链接在logs文件夹中

2.将所有原图image 放置在“/dataset_1/JPEGImages/”文件夹中,将json转换的所有图片image 放置在“/dataset_1/SegmentationClass/”文件夹中

搭载Colab使用

  1. 注册谷歌账号,进入谷歌云端硬盘
  2. 上传文件夹,进入后新建一个 ==Google Colaboratory== image image 3.设置GPU:菜单栏——代码执行程序——更改运行时类型——选择GPU、 image 4.连接谷歌云端文件夹 image 5.运行训练程序 image 6.预测红斑区域 image ==若有报错“找不到改文件”,需要复制.py文件完整路径再运行==

注意事项

train.py里数据集的路径根据每个人电脑上colab中dataset_1文件夹的路径不同进行修改

unet_erythema_detection's People

Contributors

sanity-001 avatar

Stargazers

 avatar

Watchers

 avatar

Forkers

edmaye

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.