This project forked from jeffery-zhougang/deeplabv3plus-keras-retraining
使用自己的数据集retraining DeeplabV3+
使用自己的数据集Retraining DeeplabV3+
tensorflow-1.10.0
keras-2.1.6
使用的MNIST数据集进行的一个简单的fine tune的演示。
需要使用自己的其他数据集，只需要修改模型的input_shape, classes以及选择想用的backbones，并写好自己的data_generator喂数据就好了。
如果你有GPU，修改train.py中的use_gpu为True并设置gpus为你的gpu个数。
建议在gpu上训练。
train.py能直接运行并开始训练MNIST数据集。
Keras会自动下载mnist数据集文件:mnist.npz，并且会自动下载预训练好的模型参数文件:deeplabv3_xception_tf_dim_ordering_tf_kernels.h5，deeplabv3_mobilenetv2_tf_dim_ordering_tf_kernels.h5基于你选用的不同backbones。
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