diff --git a/tutorials/source_en/orange_pi/overview.md b/tutorials/source_en/orange_pi/overview.md new file mode 100644 index 0000000000000000000000000000000000000000..63f53d4c74aa1313e0f6e6c862720232fb6d5093 --- /dev/null +++ b/tutorials/source_en/orange_pi/overview.md @@ -0,0 +1,16 @@ +[OrangePi AIpro](http://www.orangepi.org/) adopts the route of Ascend AI technology, specifically 4-core 64-bit processor and AI processor, integrated graph processor. + +At present, the system image of OrangePi AIpro development board has been realized with the Ascend MindSpore AI framework pre-installed, and continues to evolve in subsequent version iterations, and currently supports all network models covered by the tutorials on the MindSpore official website. The OrangePi AIpro development board provides developers with the openEuler version and the ubuntu version, both of which are preconfigured with Ascend MindSpore, allowing users to experience the efficient development experience brought by the synergistic optimization of hardware and software. Meanwhile, developers are welcome to customize MindSpore and CANN running environment. + +### Learning Resource + +| Stage | Description | Link | +| :----- |:----- |:----- | +| Pre learning | Before developing based on the MindSpore + OrangePi AIpro development board, it is necessary to understand and master the content | [MindSpore](https://www.mindspore.cn/)
[Linux](https://www.runoob.com/linux/linux-tutorial.html)
[Jupyter](https://jupyter.org/documentation) | +| Image acquisition | OrangePi AIpro Official Website - Official Mirror | [8T](http://www.orangepi.cn/html/hardWare/computerAndMicrocontrollers/service-and-support/Orange-Pi-AIpro.html)
[20T](http://www.orangepi.cn/html/hardWare/computerAndMicrocontrollers/details/Orange-Pi-AIpro(20T).html) | +| Environment Setup | How to build a custom environment based on OrangePi AIpro, including version checks and updates for CANN, MindSpore, kits, etc. (Taking the 8-12 TOPS 16G development board as an example, the operation method for the 20 TOPS development board is the same) | [Environment Setup Guide](https://www.mindspore.cn/tutorials/en/master/orange_pi/environment_setup.html) | +| Online Inference | How to initiate model inference in OrangePi AIpro | [Model Online Inference](https://www.mindspore.cn/tutorials/en/master/orange_pi/model_infer.html) | +| Quick Start | Case study of handwritten digit recognition based on MindSpore, explaining the development considerations in the OrangePi AIpro development board | [Quick Start](https://www.mindspore.cn/tutorials/en/master/orange_pi/dev_start.html) | +| Premium courses | 《MindSpore + Ascend Development Board:Combining Software and Hard to Play DeepSeek Development Practice》 Course | [Course link](https://www.hiascend.com/developer/courses/detail/1925362775376744449) | +| Case sharing | Ascend Development Board Zone - Case Sharing| [Ascend Development Board Zone](https://www.hiascend.com/developer/devboard) | +| MindSpore + OrangePi Code repository | orange-pi-mindspore code repository | [GitHub link](https://github.com/mindspore-courses/orange-pi-mindspore) | diff --git a/tutorials/source_en/orange_pi/overview.rst b/tutorials/source_en/orange_pi/overview.rst deleted file mode 100644 index 3dccf245b59f8a53cf203e68465d93e7857689f5..0000000000000000000000000000000000000000 --- a/tutorials/source_en/orange_pi/overview.rst +++ /dev/null @@ -1,18 +0,0 @@ -Orange Pi Development -=============================== - -`OrangePi AIpro `_ adopts the route of Ascend AI technology, specifically 4-core 64-bit processor and AI processor, integrated graph processor. - -At present, the system image of OrangePi AIpro development board has been realized with the Ascend MindSpore AI framework pre-installed, and continues to evolve in subsequent version iterations, and currently supports all network models covered by the tutorials on the MindSpore official website. The OrangePi AIpro development board provides developers with the openEuler version and the ubuntu version, both of which are preconfigured with Ascend MindSpore, allowing users to experience the efficient development experience brought by the synergistic optimization of hardware and software. Meanwhile, developers are welcome to customize MindSpore and CANN running environment. - -Before developing OrangePi AIpro, it is necessary to understand the following: - -- `MindSpore `_ -- `Linux `_ -- `Jupyter Notebook `_ - -The next tutorials will demonstrate how to build a customized environment based on OrangePi AIpro, how to start Jupyter Lab in OrangePi AIpro, and use handwritten digit recognition as an example of the operations that need to be done to perform online inference based on MindSpore OrangePi AIpro. - -The following operations are based on the OrangePi AIpro 8-12TOPS 16G development board, and the 20TOPS development board operates in the same way. - -For more examples of OrangePi AIpro development boards based on MindSpore, please refer to: `GitHub link `_ diff --git a/tutorials/source_zh_cn/orange_pi/overview.md b/tutorials/source_zh_cn/orange_pi/overview.md new file mode 100644 index 0000000000000000000000000000000000000000..161ba82032085f5f5bb7fcb7a9607b3a3cbd2020 --- /dev/null +++ b/tutorials/source_zh_cn/orange_pi/overview.md @@ -0,0 +1,18 @@ +### 香橙派开发 + +[OrangePi AIpro(香橙派 AIpro)](http://www.orangepi.cn/index.html)采用昇腾AI技术路线，具体为4核64位处理器和AI处理器，集成图形处理器。 + +目前已实现OrangePi AIpro开发板的系统镜像预装昇思MindSpore AI框架，并在后续版本迭代中持续演进，当前已完整支持昇思MindSpore官网教程中的所有网络模型。OrangePi AIpro开发板向开发者提供的官方系统镜像有openEuler版本和Ubuntu版本，两个镜像版本均已预置昇思MindSpore，便于用户体验软硬协同优化后带来的高效开发体验。同时，欢迎开发者自定义配置昇思MindSpore和CANN运行环境。 + +### 学习资源 + +| 阶段 | 描述 | 链接 | +| :----- |:----- |:----- | +| 前置学习 | 进行基于昇思+香橙派开发板进行开发前，需要了解掌握的内容 | [昇思MindSpore](https://www.mindspore.cn/)
[Linux](https://www.runoob.com/linux/linux-tutorial.html)
[Jupyter](https://jupyter.org/documentation) | +| 镜像获取 | 香橙派官网-官方镜像 | [8T](http://www.orangepi.cn/html/hardWare/computerAndMicrocontrollers/service-and-support/Orange-Pi-AIpro.html)
[20T](http://www.orangepi.cn/html/hardWare/computerAndMicrocontrollers/details/Orange-Pi-AIpro(20T).html) | +| 环境搭建 | 如何基于OrangePi AIpro进行自定义环境搭建，包括CANN、MindSpore、套件等版本检查与更新（以8-12TOPS 16G开发板为例，20TOPS开发板操作方式相同） | [环境搭建指南](https://www.mindspore.cn/tutorials/zh-CN/master/orange_pi/environment_setup.html) | +| 在线推理 | 如何在香橙派启动模型推理 | [模型在线推理](https://www.mindspore.cn/tutorials/zh-CN/master/orange_pi/model_infer.html) | +| 开发入门 | 基于MindSpore的手写数字识别案例，说明香橙派开发板中的开发注意事项 | [开发入门](https://www.mindspore.cn/tutorials/zh-CN/master/orange_pi/dev_start.html) | +| 精品课程 | 《昇思+昇腾开发板：
软硬结合玩转DeepSeek开发实战》课程 | [课程链接](https://www.hiascend.com/developer/courses/detail/1925362775376744449) | +| 案例分享 | 昇腾开发板专区-案例分享 | [昇腾开发板专区](https://www.hiascend.com/developer/devboard) | +| 昇思+香橙派案例代码仓 | orange-pi-mindspore 代码仓 | [GitHub仓链接](https://github.com/mindspore-courses/orange-pi-mindspore) | diff --git a/tutorials/source_zh_cn/orange_pi/overview.rst b/tutorials/source_zh_cn/orange_pi/overview.rst deleted file mode 100644 index 5b455c0b3187af15e49cb07d6a655fe09658ce24..0000000000000000000000000000000000000000 --- a/tutorials/source_zh_cn/orange_pi/overview.rst +++ /dev/null @@ -1,18 +0,0 @@ -香橙派开发 -=============== - -`OrangePi AIpro(香橙派 AIpro) `_ 采用昇腾AI技术路线，具体为4核64位处理器和AI处理器，集成图形处理器。 - -目前已实现OrangePi AIpro开发板的系统镜像预装昇思MindSpore AI框架，并在后续版本迭代中持续演进，当前已完整支持昇思MindSpore官网教程中的所有网络模型。OrangePi AIpro开发板向开发者提供的官方系统镜像有openEuler版本和Ubuntu版本，两个镜像版本均已预置昇思MindSpore，便于用户体验软硬协同优化后带来的高效开发体验。同时，欢迎开发者自定义配置昇思MindSpore和CANN运行环境。 - -香橙派开发前，需要了解以下内容： - -- `昇思MindSpore `_ -- `Linux `_ -- `Jupyter Notebook `_ - -接下来的教程将演示如何基于OrangePi AIpro进行自定义环境搭建，如何在OrangePi AIpro启动Jupyter Lab，并以手写数字识别为例，介绍OrangePi AIpro上基于昇思MindSpore进行在线推理需要完成的操作。 - -以下操作基于OrangePi AIpro 8-12TOPS 16G开发板，20TOPS开发板操作方式相同。 - -更多基于昇思MindSpore的香橙派开发板案例详见： `GitHub链接 `_