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deeplab_v3's Introduction

基于deeplabv3对遥感图像的语义分割

数据集:

CCF卫星影像的AI分类与识别提供的数据集初赛复赛训练集,一共五张卫星遥感影像

主要采用方法:

  • 使用模型为deeplabv_3,使用预训练好的resnet_v2_50 fine-tuning
  • 这里放的预测图是单模型跑出来的结果,多模型融合肯定会使得结果变得更好
  • 没有针对道路类别进行过采样,导致道路类别分的不好

数据增强

  • 采样方法为随机采样,划窗采样
  • 旋转90°,180°,270°
  • 左右翻转,上下翻转

如何训练

  1. 将百度云中的数据集文件夹dataset下载并存放到项目主目录下
  2. 运行 proprecess.py 生成训练集 时间稍长,需要等待
  3. 运行 train.py 开始训练

测试图片:

预测图片:

损失曲线:

deeplab_v3's People

Contributors

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Watchers

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