From 4b83a24b1a9abad5fbeb6fd7272ad142617253a6 Mon Sep 17 00:00:00 2001 From: lilin Date: Wed, 9 Aug 2023 21:54:39 +0800 Subject: [PATCH] modify related doc --- tools/data/diving48/README.md | 8 ++++---- tools/data/diving48/README_zh-CN.md | 8 ++++---- tools/data/kinetics/README.md | 8 ++++---- tools/data/kinetics/README_zh-CN.md | 8 ++++---- tools/data/kinetics710/README.md | 8 ++++---- tools/data/kinetics710/README_zh-CN.md | 8 ++++---- tools/data/sthv2/README.md | 8 ++++---- tools/data/sthv2/README_zh-CN.md | 8 ++++---- 8 files changed, 32 insertions(+), 32 deletions(-) diff --git a/tools/data/diving48/README.md b/tools/data/diving48/README.md index 02d19d5a62..0a2b68707f 100644 --- a/tools/data/diving48/README.md +++ b/tools/data/diving48/README.md @@ -21,10 +21,10 @@ For basic dataset information, you can refer to the official dataset [website](h ````{group-tab} Download by MIM MIM supports downloading from OpenDataLab and preprocessing Diving48 dataset with one command line. ```Bash -# install OpenDataLab CLI tools -pip install -U opendatalab -# log in OpenDataLab -odl login +# install OpenXlab CLI tools +pip install -U openxlab +# log in OpenXLab +openxlab login # download and preprocess by MIM mim download mmaction2 --dataset diving48 ``` diff --git a/tools/data/diving48/README_zh-CN.md b/tools/data/diving48/README_zh-CN.md index 825344039e..f6ebca9f2c 100644 --- a/tools/data/diving48/README_zh-CN.md +++ b/tools/data/diving48/README_zh-CN.md @@ -21,10 +21,10 @@ ````{group-tab} 使用 MIM 下载 # MIM 支持下载 Diving48 数据集。用户可以通过一行命令，从 OpenDataLab 进行下载，并进行预处理。 ```Bash -# 安装 OpenDataLab CLI 工具 -pip install -U opendatalab -# 登录 OpenDataLab -odl login +# 安装 OpenXLab CLI 工具 +pip install -U openxlab +# 登录 OpenXLab +openxlab login # 通过 MIM 进行数据集下载，预处理。注意这将花费较长时间 mim download mmaction2 --dataset diving48 ``` diff --git a/tools/data/kinetics/README.md b/tools/data/kinetics/README.md index 257c650eba..bd96a5f364 100644 --- a/tools/data/kinetics/README.md +++ b/tools/data/kinetics/README.md @@ -38,10 +38,10 @@ All experiments on Kinetics in MMAction2 are based on this version, we recommend MIM supports downloading from OpenDataLab and preprocessing Kinetics-400/600/700 dataset with one command line. ```Bash -# install OpenDataLab CLI tools -pip install -U opendatalab -# log in OpenDataLab -odl login +# install OpenXlab CLI tools +pip install -U openxlab +# log in OpenXLab +openxlab login # download and preprocess Kinetics-400 by MIM. Note that this might take a long time. mim download mmaction2 --dataset kinetics400 # download and preprocess Kinetics-600 by MIM. Note that this might take a long time. diff --git a/tools/data/kinetics/README_zh-CN.md b/tools/data/kinetics/README_zh-CN.md index a0d2e858e1..6047617985 100644 --- a/tools/data/kinetics/README_zh-CN.md +++ b/tools/data/kinetics/README_zh-CN.md @@ -36,10 +36,10 @@ MMAction2 代码仓库中提供的 Kinetics 实验性能，都是基于这个版 # MIM 支持下载 Kinetics-400/600/700 数据集。用户可以通过一行命令，从 OpenDataLab 进行下载，并进行预处理。 ```Bash -# 安装 OpenDataLab CLI 工具 -pip install -U opendatalab -# 登录 OpenDataLab -odl login +# 安装 OpenXLab CLI 工具 +pip install -U openxlab +# 登录 OpenXLab +openxlab login # 通过 MIM 进行 Kinetics-400 数据集下载，预处理。注意这将花费较长时间 mim download mmaction2 --dataset kinetics400 # 通过 MIM 进行 Kinetics-600 数据集下载，预处理。注意这将花费较长时间 diff --git a/tools/data/kinetics710/README.md b/tools/data/kinetics710/README.md index 76a239fbf5..4dd52b393f 100644 --- a/tools/data/kinetics710/README.md +++ b/tools/data/kinetics710/README.md @@ -25,10 +25,10 @@ Before we start, please make sure that the directory is located at `$MMACTION2`. Kinetics-710 is a video benchmark based on Kinetics-400/600/700, which merges the training set of these Kinetics datasets, and deletes the repeated videos according to Youtube IDs. MMAction2 provides an annotation file based on the Kinetics-400/600/700 on [OpenDataLab](https://opendatalab.com/). So we suggest you download Kinetics-400/600/700 first from OpenDataLab by [MIM](https://github.com/open-mmlab/mim). ```shell -# install OpenDataLab CLI tools -pip install -U opendatalab -# log in OpenDataLab -odl login +# install OpenXlab CLI tools +pip install -U openxlab +# log in OpenXLab +openxlab login # download Kinetics-400/600/700, note that this might take a long time. mim download mmaction2 --dataset kinetics400 mim download mmaction2 --dataset kinetics600 diff --git a/tools/data/kinetics710/README_zh-CN.md b/tools/data/kinetics710/README_zh-CN.md index b428be43df..650a05c7d5 100644 --- a/tools/data/kinetics710/README_zh-CN.md +++ b/tools/data/kinetics710/README_zh-CN.md @@ -23,10 +23,10 @@ Kinetics-710 是基于 Kinetics-400/600/700 的视频数据集，它合并了这些 Kinetics 数据集的训练集，并根据 Youtube ID 删除了重复的视频。MMAction2 提供了一个基于 Kinetics-400/600/700 的 OpenDataLab 版本的标注文件，你可以通过 [MIM](https://github.com/open-mmlab/mim) 从 OpenDataLab 下载。 ```shell -# 安装 OpenDataLab CLI 工具 -pip install -U opendatalab -# 登录 OpenDataLab -odl login +# 安装 OpenXLab CLI 工具 +pip install -U openxlab +# 登录 OpenXLab +openxlab login # 下载 Kinetics-400/600/700，注意这可能需要很长时间。 mim download mmaction2 --dataset kinetics400 mim download mmaction2 --dataset kinetics600 diff --git a/tools/data/sthv2/README.md b/tools/data/sthv2/README.md index 5e05e6ff90..5c6ee953b4 100644 --- a/tools/data/sthv2/README.md +++ b/tools/data/sthv2/README.md @@ -22,10 +22,10 @@ For basic dataset information, you can refer to the dataset [website](https://de ````{group-tab} Download by MIM MIM supports downloading from OpenDataLab and preprocessing Something-Something V2 dataset with one command line. ```Bash -# install OpenDataLab CLI tools -pip install -U opendatalab -# log in OpenDataLab -odl login +# install OpenXlab CLI tools +pip install -U openxlab +# log in OpenXLab +openxlab login # download and preprocess by MIM mim download mmaction2 --dataset sthv2 ``` diff --git a/tools/data/sthv2/README_zh-CN.md b/tools/data/sthv2/README_zh-CN.md index 0bc5baf3fc..83647eb735 100644 --- a/tools/data/sthv2/README_zh-CN.md +++ b/tools/data/sthv2/README_zh-CN.md @@ -22,10 +22,10 @@ ````{group-tab} 使用 MIM 下载 # MIM 支持下载 Something-Something V2 数据集。用户可以通过一行命令，从 OpenDataLab 进行下载，并进行预处理。 ```Bash -# 安装 OpenDataLab CLI 工具 -pip install -U opendatalab -# 登录 OpenDataLab -odl login +# 安装 OpenXLab CLI 工具 +pip install -U openxlab +# 登录 OpenXLab +openxlab login # 通过 MIM 进行数据集下载，预处理。注意这将花费较长时间 mim download mmaction2 --dataset sthv2 ```