问题描述

ImageNet 文本数据文件含中文且编码为 UTF-8 时，默认编码为非 UTF-8 如 GBK 环境下未指定 encoding 参数的 open() 会解码失败。

原因猜测

未指定 encoding 参数，可以在 train() 及 inference() 等入口函数增加可选且默认为 'utf-8' 的 encoding 参数，最后传入 open()。

复现环境

此问题在系统默认编码为 GBK 时出现。

若数据文件编码也为 GBK，则 Torch 相关数据文件读写将会报错（默认 UTF-8）。

当然若是可以调整系统默认编码，也可解决这一问题。

Welcome update to OpenMMLab 2.0

I am Vansin, the technical operator of OpenMMLab. In September of last year, we announced the release of OpenMMLab 2.0 at the World Artificial Intelligence Conference in Shanghai. We invite you to upgrade your algorithm library to OpenMMLab 2.0 using MMEngine, which can be used for both research and commercial purposes. If you have any questions, please feel free to join us on the OpenMMLab Discord at https://discord.gg/A9dCpjHPfE or add me on WeChat (ID: van-sin) and I will invite you to the OpenMMLab WeChat group.

Here are the OpenMMLab 2.0 repos branches:

Attention: please create a new virtual environment for OpenMMLab 2.0.

请问mmedu.readthedocs.io中的文档什么时候更新，谢谢，已经有巨多人将他用做初中教育了