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MNIST数据集卷积神经网络实现手写数字识别(GUI)

Python 100.00%

mnist-gui's Introduction

Convolutional-neural-network-GUI

MNIST数据集卷积神经网络实现手写数字识别应用(GUI)

项目的一些必要说明

代码中GUI实现的并不美观,只是实现出来GUI需求,大家有需要的可以调整一下布局让GUI更加美观。

谢谢B站的朋友们指正代码错误之处!

代码有两种暂时有两种下载方式:

  • 直接clone仓库代码
  • 从release中下载我打包好的代码

环境信息

  • tensorflow版本为2.0.0及以上应该都可以运行
  • 我的python版本为3.7(兼容tensorflow2.0及以上版本的Python版本应该都可以)
  • Operation System:Windows10
  • IDE:Pycharm
  • 演示用的图片我已经放到numbers_images文件夹中了,百度网盘不方便的直接clone整个仓库即可
  • 图片是MOOC上《人工智能实践:Tensorflow笔记》北大曹健老师https://www.icourse163.org/course/PKU-1002536002?tid=1452937471 课程中演示的那10张图片。

项目说明

  • CNN-Model.py为卷积神经网络的训练文件。
  • gui.py为图像化界面的启动文件
  • checkpoin和weights.txt均为卷积神经网络的训练参数。
  • recongnition.py和icon.ico不要修改。

执行步骤

  • 训练好的checkpoint和weights.txt文件已经在仓库里面了,如果想自己训练可以直接run CNN-Model.py即可,run完也会生成checkpoint和weights.txt文件。
  • 直接执行recognition.py文件,出现gui窗口,选择图片识别即可。

mnist-gui's People

Contributors

elegantnorlin avatar

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