This project forked from christopherlivy/unet-for-medical-image-segmentation
首先将自己的数据集中要训练的label和mask放入deform下的对应文件夹下，按数字顺序命名 如1.tf
将测试集图片放入test中，命名格式相同
运行data.py生成数据，运行unet.py开始训练，生成预测在results中
注意： 1.文件夹格式请不要改变，不然请在代码中更改与文件路径有关的代码 2.命名格式改变请改变sort函数和代码路径等 3.其他改变具体请先阅读博客，地址：https://blog.csdn.net/Yanhaoming1999/article/details/104430098
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