# OrangePi AIpro Development

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[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/en)</br>[Linux](https://www.runoob.com/linux/linux-tutorial.html)</br>[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)</br>[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/r2.7.0/orange_pi/environment_setup.html) |
| Online Inference | How to initiate model inference in OrangePi AIpro | [Model Online Inference](https://www.mindspore.cn/tutorials/en/r2.7.0/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/r2.7.0/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) |