GithubHelp home page GithubHelp logo

ml-homework's Introduction

作业内容

在课程资料库中下载相应的图库,完成特征提取,分类的识别,要求画出ROC曲线,选择几种算法进行对比。时间2周, 自己做自己的。上交的是一篇小论文,里面有理论,有执行结果,有准确率对比就可以。

数据集的选择

本次代码选择了掌纹.zip作为数据集, 并解压图片到dataset目录下

根目录

dataset

000001.bmp

000002.bmp

000003.bmp

说明

  1. main.py用于将所有算法的数据绘制到一张图像上
  2. model.py分离出Model类, 统一了绘制ROC接口, 初始化加载数据集, 计算softmax
  3. 运行不同算法, 只需运行对应的*_model.py文件

LBP算法

准确率: 0.88

PCA算法

准确率: 0.52

Haar小波变换

准确率: 0.59

Gabor变换

准确率: 0.80

算法对比

算法 准确率
LBP 0.99
PCA 0.52
Haar 0.59
Gabor 0.80

ml-homework's People

Contributors

achieve-dream1221 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.