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hrnet-v2's Introduction

HRNet-V2进行语义分割的tensorflow实现

文件简介

  • utils文件夹中包含color_utils.py、data_utils.py、HighResolutionModule.py、Models_Block.py、Models_Config.py.
  1. color_utils.py、data_utils.py是进行数据预处理的功能函数；
  2. HighResolutionModule.py是HRNet v2中的进行并行卷积融合的功能模块；
  3. Models_Block.py是对卷积、批归一化、BasicBlock、Bottleneck的封装；
  4. Models_Config.py包含了HRNet中每一个阶段的超参数设置；
  • __pycache__文件夹是PyCharm编译时产生的文件.
  • Model.py是HRNet v2模型的实现
  • HRNet v2_Train.py是运用模型进行训练的文件。

Getting started

  1. 数据集使用已经经过预处理适合本模型进行训练的ISPRS 2D Vaihingen数据集。下载地址[百度网盘](链接：https://pan.baidu.com/s/1RqjWXTZOCPO4cRkW6SVglA 提取码：cslj)。下载后解压至文件根目录；
  2. 在根目录新建文件夹，命名为：ckpts。该文件夹用于存储cpkt文件；
  3. 运行HRNet v2_Train.py即可开始模型的训练。

Dependency

  • tensorflow==1.8.0
  • numpy==1.15.2
  • opencv3==3.1.0

hrnet-v2's People

Contributors

ai-chen avatar

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