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image_classification_pytorch's Introduction

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0、介绍

  • 代码使用pytorch实现
  • 代码只适合新手学习
  • 让新手学习使用和习惯使用argparse
  • 代码在train.py将各个部分封装成函数，方便理解、调用和修改

train.png

1、训练的数据

图片放在data/train和data/val文件夹下面

train_data.png

2、根据自己的图片数据修改文件

修改dataset/dataset.py中的类，或者自己创建一个类

dataset.png

3、创建模型

可以使用models下的vgg和lenet，也可以自己写一些其他的模型

models.png

4、模型保存

训练好的模型会保存在output文件夹下，默认保存最好和最后一个模型，且每隔10epoch（可以修改这个参数）就保存一次模型。然后也可以加载模型继续训练

output.png

5、修改超参数

根据自己显卡大小等修改超参数

args.png

6、如何训练

  • 使用命令行：python train.py --train_dir data/train --val_dir data/val
  • 或右键运行train.py
  • 补充：使用命令行时要适当增加参数或者更改默认值

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