deeplabv3+ 从零开始训练

本文主要是介绍deeplabv3+ 从零开始训练，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

首先需要下载官方提供的imagenet以及coco的预训练权重：

http://download.tensorflow.org/models/xception_65_coco_pretrained_2018_10_02.tar.gz

然后将其解压到一个文件夹比如：

 .../deeplab/datasets/pascal_voc_seg/coco_pretrain

train_aug的处理：https://blog.csdn.net/u013249853/article/details/100136780，只需要下载一分钟，仅下载标注，一定要看清楚。

 

 

然后我直接放我的训练配置，注意，python代码是一句没改的。一定要将train_split改成train。否则会将val也一并加入训练。比如下面的保存成train.sh

#!/bin/bash
# Copyright 2018 The TensorFlow Authors All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language gove

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