From 019d321b26024138476eeb59e6579d95af26a46d Mon Sep 17 00:00:00 2001 From: Nowinkey Date: Sun, 4 Jun 2023 21:23:18 +0800 Subject: [PATCH] docs: fix part of the link failure (#3271) --- docs/4.0/docs/examples/ai-applications/athenaserving.md | 4 ++-- .../build-image/build-image-with-kubeadm-run-cluster.md | 2 +- .../operations/run-cluster/gen-apply-cluster.md | 2 +- .../i18n/zh-Hans/examples/ai-applications/athenaserving.md | 4 ++-- 4 files changed, 6 insertions(+), 6 deletions(-) diff --git a/docs/4.0/docs/examples/ai-applications/athenaserving.md b/docs/4.0/docs/examples/ai-applications/athenaserving.md index 4a28d2b89..a0b3e06af 100644 --- a/docs/4.0/docs/examples/ai-applications/athenaserving.md +++ b/docs/4.0/docs/examples/ai-applications/athenaserving.md @@ -96,7 +96,7 @@ $ sealos run registry.cn-qingdao.aliyuncs.com/labring/athenaserving:v2.0.0rc1 3. HTTP call AI demo capability MMOCR capability MMOCR is an open source toolbox based on PyTorch and mmdetection, focusing on text detection, text recognition and -corresponding downstream tasks such as key information extraction. It is part of the OpenMMLab project. [Project address](https://github.com/open-mmlab/mmocr/blob/main/README_zh-CN.md) In [wrapper.py](https://github.com/iflytek/aiges/blob/master/demo/mmocr/wrapper/wrapper_v2.py), we use python to easily convert [text + detection and recognition ability](https://mmocr.readthedocs.io/zh_CN/latest/demo.html#id4) encapsulates the ability to deploy into `ASF` as an HTTP API. After deploying `ASF` using Sealos, you can use the following script to modify the `url` value to complete the call to +corresponding downstream tasks such as key information extraction. It is part of the OpenMMLab project. [Project address](https://github.com/open-mmlab/mmocr/blob/main/README_zh-CN.md) In [wrapper.py](https://github.com/iflytek/aiges_demo/blob/f5061b3b9a4d05f491cfdc21c525e22f8239b760/mmocr/wrapper/wrapper_v2.py), we use python to easily convert [text + detection and recognition ability](https://mmocr.readthedocs.io/zh_CN/latest/demo.html#id4) encapsulates the ability to deploy into `ASF` as an HTTP API. After deploying `ASF` using Sealos, you can use the following script to modify the `url` value to complete the call to the `MMOCR (text + detection)` AI capability. ```python @@ -211,7 +211,7 @@ MMocr Result: box located at [223, 214, 240, 214, 240, 226, 223, 226], box score To implement new AI capabilities, you should develop and build your AI Capability image according to the loader Spec Sheet. And then deploy it to the cluster. How to build your custom AI capability image, please refer -to:[Fastly create wrapper.py](https://iflytek.github.io/athena_website/docs/%E5%8A%A0%E8%BD%BD%E5%99%A8/Python%E6%8F%92%E4%BB%B6) +to:[Fastly create wrapper.py](https://iflytek.github.io/athena_website/docs/current/%E5%8A%A0%E8%BD%BD%E5%99%A8/Python%E6%8F%92%E4%BB%B6) ## More diff --git a/docs/4.0/docs/lifecycle-management/operations/build-image/build-image-with-kubeadm-run-cluster.md b/docs/4.0/docs/lifecycle-management/operations/build-image/build-image-with-kubeadm-run-cluster.md index df0f3b865..78cf75d7d 100644 --- a/docs/4.0/docs/lifecycle-management/operations/build-image/build-image-with-kubeadm-run-cluster.md +++ b/docs/4.0/docs/lifecycle-management/operations/build-image/build-image-with-kubeadm-run-cluster.md @@ -94,4 +94,4 @@ spec: **⚠️ 注意：** -+ 您可以参考[官方文档](https://kubernetes.io/docs/reference/config-api/kubeadm-config.v1beta2/)或使用`kubeadm config print init-defaults`命令打印kubeadm配置。 ++ 您可以参考[官方文档](https://kubernetes.io/docs/reference/setup-tools/kubeadm/kubeadm-config/)或使用`kubeadm config print init-defaults`命令打印kubeadm配置。 diff --git a/docs/4.0/docs/lifecycle-management/operations/run-cluster/gen-apply-cluster.md b/docs/4.0/docs/lifecycle-management/operations/run-cluster/gen-apply-cluster.md index a83c88acf..1eb02570b 100644 --- a/docs/4.0/docs/lifecycle-management/operations/run-cluster/gen-apply-cluster.md +++ b/docs/4.0/docs/lifecycle-management/operations/run-cluster/gen-apply-cluster.md @@ -123,4 +123,4 @@ spec: **注意：** -- 可以参考[官方文档](https://kubernetes.io/docs/reference/config-api/kubeadm-config.v1beta2/)或运行 `kubeadm config print init-defaults` 命令来打印 kubeadm 配置。 +- 可以参考[官方文档](https://kubernetes.io/docs/reference/setup-tools/kubeadm/kubeadm-config/)或运行 `kubeadm config print init-defaults` 命令来打印 kubeadm 配置。 diff --git a/docs/4.0/i18n/zh-Hans/examples/ai-applications/athenaserving.md b/docs/4.0/i18n/zh-Hans/examples/ai-applications/athenaserving.md index 192aec0d4..919255c79 100644 --- a/docs/4.0/i18n/zh-Hans/examples/ai-applications/athenaserving.md +++ b/docs/4.0/i18n/zh-Hans/examples/ai-applications/athenaserving.md @@ -94,7 +94,7 @@ $ sealos run registry.cn-qingdao.aliyuncs.com/labring/athenaserving:v2.0.0rc1 3. HTTP 调用 AI 演示 MMOCR 功能 -MMOCR 是基于 PyTorch 和 mmdetection 的开源工具箱，专注于文本检测，文本识别以及相应的关键信息提取等下游任务。 它是 OpenMMLab 项目的一部分。[项目地址](https://github.com/open-mmlab/mmocr/blob/main/README_zh-CN.md) 在 [wrapper.py](https://github.com/iflytek/aiges/blob/master/demo/mmocr/wrapper/wrapper_v2.py) 中，我们使用 python 轻而易举的将 [文本+检测识别 ](https://mmocr.readthedocs.io/zh_CN/latest/demo.html#id4)功能封装部署到 `ASF ` 作为 HTTP API。使用 sealos 部署完 `ASF` 后，可以使用如下脚本修改 `url` 的值，即可完成调用 `MMOCR(文本+检测)` AI 功能调用。 +MMOCR 是基于 PyTorch 和 mmdetection 的开源工具箱，专注于文本检测，文本识别以及相应的关键信息提取等下游任务。 它是 OpenMMLab 项目的一部分。[项目地址](https://github.com/open-mmlab/mmocr/blob/main/README_zh-CN.md) 在 [https://github.com/iflytek/aiges_demo/blob/f5061b3b9a4d05f491cfdc21c525e22f8239b760/mmocr/wrapper/wrapper_v2.py) 中，我们使用 python 轻而易举的将 [文本+检测识别 ](https://mmocr.readthedocs.io/zh_CN/latest/demo.html#id4)功能封装部署到 `ASF ` 作为 HTTP API。使用 sealos 部署完 `ASF` 后，可以使用如下脚本修改 `url` 的值，即可完成调用 `MMOCR(文本+检测)` AI 功能调用。 ```python import requests @@ -207,7 +207,7 @@ MMocr Result: box located at [223, 214, 240, 214, 240, 226, 223, 226], box score 要实现新的 AI 功能，您应该根据 loader Spec Sheet 开发和构建您的 AI 功能图像。然后部署到集群中。 -如何构建自定义 AI 功能镜像，请参考: [快速构建 wrapper.py](https://iflytek.github.io/athena_website/docs/%E5%8A%A0%E8%BD%BD%E5%99%A8/Python%E6%8F%92%E4%BB%B6) +如何构建自定义 AI 功能镜像，请参考: [快速构建 wrapper.py](https://iflytek.github.io/athena_website/docs/current/%E5%8A%A0%E8%BD%BD%E5%99%A8/Python%E6%8F%92%E4%BB%B6) ## 更多