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本代码是基于python pytorch环境安装的。 下载本代码后,有个环境安装的requirement.txt文本,环境需要自行配置。 或可直接参考下面博文进行环境安装。 https://blog.csdn.net/no_work/article/details/139887346 安装好环境之后, 代码需要依次运行 01数据集文本生成制作.py 02深度学习模型训练.py 和03html_server.py 数据集介绍,下载本资源后,界面如下: 数据集文件夹存放了本次识别的各个类别图片。 运行01数据集文本制作.py文件,会就读取数据集下每个类别文件中的图片路径和对应的标签 运行02深度学习模型训练.py就会将txt文本中记录的训练集和验证集进行读取训练,训练好后会保存模型在本地 训练完成之后会有log日志保存本地,里面记录了每个epoch的验证集损失值和准确率。 运行03html_server.py就可以生成与网页交互的url了 然后我们复制这个url(http://127.0.0.1:4399)在本机电脑的网页上打开,或手动输入这个url,切记不要输错 这
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