这是一个手写字体识别程序，构建了CNN模型，使用mnist数据进行模型训练，使用tkinter搭建了可视化界面
mnist：存放下载下来的数据集，为了减少程序上传大小，我已经将数据删除，需要获取请执行model_train.py
model：存放训练好的模型
photo：一些自己手写的测试照片
cnn_model.py：搭建的CNN模型，准确率高达99%
model_train.py：训练模型的代码
model_reference.py：调用模型，识别photo中的数字
tkGUI：搭建的可视化界面
main.py：程序启动入口
尽量将自己手写字截图为正方形，存放在没有汉字的目录下，运行main.py程序
效果如图：
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