From 2dd3375cfa48828cb14f5440dba1877fb93e6f4f Mon Sep 17 00:00:00 2001 From: lvlinsheng Date: Thu, 16 Nov 2023 22:13:27 +0800 Subject: [PATCH] docs: update docs --- src/pages/guide.export/markdown_en-US.mdx | 6 +++--- src/pages/guide.export/markdown_zh-CN.mdx | 7 ++++--- src/pages/guide.install/markdown_en-US.mdx | 20 ++++++++++---------- 3 files changed, 17 insertions(+), 16 deletions(-) diff --git a/src/pages/guide.export/markdown_en-US.mdx b/src/pages/guide.export/markdown_en-US.mdx index f7e47e89..916a4968 100644 --- a/src/pages/guide.export/markdown_en-US.mdx +++ b/src/pages/guide.export/markdown_en-US.mdx @@ -6,7 +6,7 @@ import audio from './audio.png'; ### Image Format -After finishing the annotations, you can export the annotated results file in JSON, COCO, MASK formats.For annotation format instructions, please visit +After finishing the annotations, you can export the annotated results file in JSON, COCO, MASK formats.For annotation format instructions, please visit (https://opendatalab.github.io/labelU/#/schema/image/point) @@ -19,7 +19,7 @@ After finishing the annotations, you can export the annotated results file in JS ### Video Format -After completing the annotations, you can export the annotated results file in JSON format.For annotation format instructions, please visit +After completing the annotations, you can export the annotated results file in JSON format.For annotation format instructions, please visit (https://opendatalab.github.io/labelU/#/schema/video/segment) @@ -32,7 +32,7 @@ After completing the annotations, you can export the annotated results file in J ### Audio Format -After completing the annotations, you can export the annotated results file in JSON format.For annotation format instructions, please visit +After completing the annotations, you can export the annotated results file in JSON format.For annotation format instructions, please visit (https://opendatalab.github.io/labelU/#/schema/audio/segment) diff --git a/src/pages/guide.export/markdown_zh-CN.mdx b/src/pages/guide.export/markdown_zh-CN.mdx index aeb8d50b..02aec3e0 100644 --- a/src/pages/guide.export/markdown_zh-CN.mdx +++ b/src/pages/guide.export/markdown_zh-CN.mdx @@ -6,18 +6,19 @@ import audio from './audio.png'; ### 图片 -完成标注后,可将标注结果文件以JSON,COCO,MASK形式导出。标注格式说明见 +完成标注后,可将标注结果文件以JSON,COCO,MASK形式导出。标注格式说明见(https://opendatalab.github.io/labelU/#/schema/image/point) + ### 视频 -完成标注后,可将标注结果文件以JSON形式导出。标注格式说明见 +完成标注后,可将标注结果文件以JSON形式导出。标注格式说明见(https://opendatalab.github.io/labelU/#/schema/video/segment) ### 音频 -完成标注后,可将标注结果文件以JSON形式导出。标注格式说明见 +完成标注后,可将标注结果文件以JSON形式导出。标注格式说明见(https://opendatalab.github.io/labelU/#/schema/audio/segment) diff --git a/src/pages/guide.install/markdown_en-US.mdx b/src/pages/guide.install/markdown_en-US.mdx index 3e883b07..91d2e37d 100644 --- a/src/pages/guide.install/markdown_en-US.mdx +++ b/src/pages/guide.install/markdown_en-US.mdx @@ -1,35 +1,35 @@ -## 安装 +## Installation -1. 安装 [Miniconda](https://docs.conda.io/en/latest/miniconda.html),选择对应的操作系统类型并下载安装。 +1. Install [Miniconda](https://docs.conda.io/en/latest/miniconda.html),choose the corresponding operating system type and download it for installation. -> **注:** 如果你的系统是 MacOS intel 芯片,请安装 [intel x86_64版本的Miniconda](https://repo.anaconda.com/miniconda/)。 +> **Note:** If your system is MacOS with an Intel chip, please install [intel x86_64版本的Miniconda](https://repo.anaconda.com/miniconda/)。 -2. 安装完毕后,在终端运行以下命令(过程中的提示选择默认 `y` 即可): +2. After the installation is complete, run the following command in the terminal (you can choose the default 'y' for prompts during the process): ```bash conda create -n labelu python=3.7 ``` -> **注:** Windows 平台可在 Anaconda Prompt 程序中运行以上命令。 +> **Note:** For Windows platform, you can run the above command in Anaconda Prompt. -3. 激活环境: +3. Activate the environment: ```bash conda activate labelu ``` -4. 安装 LabelU: +4. Install LabelU: ```bash pip install labelu ``` -> 安装测试版本:`pip install --extra-index-url https://test.pypi.org/simple/ labelu==<测试版本号>` +> To install the test version:`pip install --extra-index-url https://test.pypi.org/simple/ labelu==<测试版本号>` -5. 运行 LabelU: +5. Run LabelU: ```bash labelu ``` -6. 打开浏览器,访问 [http://localhost:8000/](http://localhost:8000/) 即可使用 LabelU。 +6. Open your browser and visit [http://localhost:8000/](http://localhost:8000/) to use LabelU.