fork from https://github.com/danielhomola/3D_UNet.git
License: BSD 3-Clause "New" or "Revised" License
使用的是 models/base_model/params.json，按照交叉验证，把输入的总数据集平分为4个数据组，train_batch和test_batch分别表示训练集和测试集使用的数据组序号，使用不同的训练集修改序号即可。
训练并预测输出
python src/main.py -model_dir models/base_model -mode train_pred仅训练
python src/main.py -model_dir models/base_model -mode train仅预测
python src/main.py -model_dir models/base_model -mode pred按照params.json指定的训练集组序号，会在models/base_model/下创建新的目录，由训练集组序号连接下划线命名，如0_1_2，训练模型的ckpt文件会保存在这个目录，预测结果保存在其/predict子目录
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