chenyuntc / Pytorch Best Practice
A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats
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PyTorch 实践指南
本文是文章PyTorch实践指南配套代码，请参照知乎专栏原文或者对应的markdown文件更好的了解而文件组织和代码细节。
本部分内容属于 《深度学习框架PyTorch：入门与实践》一部分, 关于该书的源码，以及更多案例，请查看github
数据下载
- 从kaggle比赛官网 下载所需的数据
- 解压并把训练集和测试集分别放在一个文件夹中
安装
- PyTorch : 可按照PyTorch官网的指南，根据自己的平台安装指定的版本
- 安装指定依赖：
pip install -r requirements.txt
训练
必须首先启动visdom：
python -m visdom.server
然后使用如下命令启动训练：
# 在gpu0上训练,并把可视化结果保存在visdom 的classifier env上
python main.py train --data-root=./data/train --use-gpu=True --env=classifier
详细的使用命令 可使用
python main.py help
测试
python main.py --data-root=./data/test --use-gpu=False --batch-size=256
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