Skip to content

Commit

Permalink
fix:README
Browse files Browse the repository at this point in the history
  • Loading branch information
choushunn committed May 22, 2024
1 parent b7e30a9 commit 1f329ba
Show file tree
Hide file tree
Showing 2 changed files with 58 additions and 61 deletions.
60 changes: 29 additions & 31 deletions README.md
View file
Original file line number Diff line number Diff line change
Expand Up @@ -24,59 +24,57 @@ RK3588 is the flagship 8K SoC chip released by [Rockchip ↗](https://www.rock-c

## Official Resources

- [Rockchip-Linux ↗](https://github.com/rockchip-linux) - The official Rockchip Linux repository on GitHub.
- [RKNPU2 ↗](https://github.com/rockchip-linux/rknpu2) - The official repository for the Rockchip NPU interface.
- [RKNN-Toolkit2 ↗](https://github.com/rockchip-linux/rknn-toolkit2) - The official software development kit for performing model conversion, inference, and performance evaluation on the Rockchip NPU.
- [librga ↗](https://github.com/airockchip/librga) - RGA (Raster Graphic Acceleration Unit) is a standalone 2D hardware accelerator designed to accelerate point/line drawing, perform image scaling, rotation, bitBlt, alpha blending, and other common 2D graphic operations.
- [RKLLM ↗](https://github.com/airockchip/rknn-llm ) - RKLLM software stack can help users to quickly deploy AI models to Rockchip chips.
- [RK3588 Linux SDK 开发及产品应用介绍↗](https://www.bilibili.com/video/BV1kV4y1W7X5) - RK3588 Linux SDK development and product application introduction
- [RKNPU2 从入门到实践↗](https://www.bilibili.com/video/BV1kV4y1W7X5) - RKNPU2 from entry to practice (based on RK3588 and RK3568)
- [RK3588 Linux SDK Development and Product Application Introduction↗](https://www.bilibili.com/video/BV1kV4y1W7X5) - RK3588 Linux SDK Development and Product Application Introduction
- [RKNPU2 From Beginner to Practice↗](https://www.bilibili.com/video/BV1Kj411D78q) - RKNPU2 From Beginner to Practice (Based on RK3588 and RK3568)
1. [Rockchip-Linux ↗](https://github.com/rockchip-linux) - The official Rockchip Linux repository on GitHub.
2. [RK3588 Linux SDK Development and Product Application↗](https://www.bilibili.com/video/BV1kV4y1W7X5) - RK3588 Linux SDK development and product application introduction
3. [RKNPU2: From Introduction to Practice↗](https://www.bilibili.com/video/BV1kV4y1W7X5) - RKNPU2 from entry to practice (based on RK3588 and RK3568)
4. [RK3588 Linux SDK Development and Product Application Introduction↗](https://www.bilibili.com/video/BV1kV4y1W7X5) - RK3588 Linux SDK Development and Product Application Introduction
5. [RKNPU2 From Beginner to Practice↗](https://www.bilibili.com/video/BV1Kj411D78q) - RKNPU2 From Beginner to Practice (Based on RK3588 and RK3568)

## RKNN

- [RKNN Model Zoo ↗](https://github.com/airockchip/rknn_model_zoo/tree/main) - A collection of pre-trained models for the Rockchip NPU, including image classification, object detection, semantic segmentation, and more.
- [RKNPU2 Model Deployment ↗](https://github.com/PaddlePaddle/FastDeploy/blob/develop/docs/en/faq/rknpu2/rknpu2.md) - A guide to deploying models on the Rockchip NPU using the RKNPU2 interface.
1. [RKNN Model Zoo ↗](https://github.com/airockchip/rknn_model_zoo/tree/main) - A collection of pre-trained models for the Rockchip NPU, including image classification, object detection, semantic segmentation, and more.
2. [RKNPU2 Model Deployment ↗](https://github.com/PaddlePaddle/FastDeploy/blob/develop/docs/en/faq/rknpu2/rknpu2.md) - A guide to deploying models on the Rockchip NPU using the RKNPU2 interface.
3. [RKNPU2 ↗](https://github.com/rockchip-linux/rknpu2) - The official repository for the Rockchip NPU interface.
4. [RKNN-Toolkit2 ↗](https://github.com/rockchip-linux/rknn-toolkit2) - The official software development kit for performing model conversion, inference, and performance evaluation on the Rockchip NPU.
5. [librga ↗](https://github.com/airockchip/librga) - RGA (Raster Graphic Acceleration Unit) is a standalone 2D hardware accelerator designed to accelerate point/line drawing, perform image scaling, rotation, bitBlt, alpha blending, and other common 2D graphic operations.
6. [RKLLM ↗](https://github.com/airockchip/rknn-llm ) - RKLLM software stack can help users to quickly deploy AI models to Rockchip chips.

## Projects

- [Yolov5 DeepSORT ↗](https://github.com/Zhou-sx/yolov5_Deepsort_rknn) - A project for tracking vehicles and persons on RK3588 / RK3399pro using YOLOv5 and DeepSORT.
- [Yolov5 RK3588 Python ↗](https://github.com/cluangar/YOLOv5-RK3588-Python) - Modified code from rknn-toolkit2 for running YOLOv5 on the RK3588.
- [RKNN multi threaded ↗](https://github.com/leafqycc/rknn-multi-threaded) - A project for running RKNN models on multiple threads for improved performance.
- [ubuntu-rockchip ↗](https://github.com/Joshua-Riek/ubuntu-rockchip/tree/main) - Ubuntu 22.04 for Rockchip RK3588 devices.
- [buildroot-rk3588 ↗](https://github.com/Military-Vehicle-Detection/buildroot-rk3588)- Buildroot build for ROCK 5B based on RK3588 CPU.
- [NixOS running on RK3588/RK3588s ↗](https://github.com/ryan4yin/nixos-rk3588)- Minimal NixOS running on RK3588/RK3588s based SBC(Orange Pi 5 Plus, Orange Pi 5, Rock 5A)
- [NixOS running on RK3588/RK3588s ↗](https://github.com/ryan4yin/nixos-rk3588)- Minimal NixOS running on RK3588/RK3588s based SBC(Orange Pi 5 Plus, Orange Pi 5, Rock 5A)
- [Rockchip-Windows-Drivers ↗](https://github.com/worproject/Rockchip-Windows-Drivers)- Windows on Arm drivers for RK35xx platforms.)
- [yolov8_rknn_Cplusplus ↗](https://github.com/cqu20160901/yolov8_rknn_Cplusplus)- YoloV8 rknn C++.
1. [Yolov5 DeepSORT ↗](https://github.com/Zhou-sx/yolov5_Deepsort_rknn) - A project for tracking vehicles and persons on RK3588 / RK3399pro using YOLOv5 and DeepSORT.
2. [Yolov5 RK3588 Python ↗](https://github.com/cluangar/YOLOv5-RK3588-Python) - Modified code from rknn-toolkit2 for running YOLOv5 on the RK3588.
3. [RKNN multi threaded ↗](https://github.com/leafqycc/rknn-multi-threaded) - A project for running RKNN models on multiple threads for improved performance.
4. [ubuntu-rockchip ↗](https://github.com/Joshua-Riek/ubuntu-rockchip/tree/main) - Ubuntu 22.04 for Rockchip RK3588 devices.
5. [buildroot-rk3588 ↗](https://github.com/Military-Vehicle-Detection/buildroot-rk3588)- Buildroot build for ROCK 5B based on RK3588 CPU.
6. [NixOS running on RK3588/RK3588s ↗](https://github.com/ryan4yin/nixos-rk3588)- Minimal NixOS running on RK3588/RK3588s based SBC(Orange Pi 5 Plus, Orange Pi 5, Rock 5A)
7. [Rockchip-Windows-Drivers ↗](https://github.com/worproject/Rockchip-Windows-Drivers)- Windows on Arm drivers for RK35xx platforms.)
8. [yolov8_rknn_Cplusplus ↗](https://github.com/cqu20160901/yolov8_rknn_Cplusplus)- YoloV8 rknn C++.


## Development Boards

- [ITOP ↗](http:https://www.topeetboard.com/sydymfl/Product/iTOP-3588.html) - A development board based on the RK3588 chip, providing complete hardware interfaces and software support.
- [Fire-Fly ↗](https://www.t-firefly.com/doc/download/164.html) - A development board based on the RK3588 chip, providing complete hardware interfaces and software support.
- [Orange Pi ↗](http:https://www.orangepi.cn/) - Orange Pi.
- [YourLand Laptop ↗](https://nanocode.cn/#/yl/) - A laptop based on RK3588 and Linux, designed for sw-developers with rich dev-tools and JTAG debugging support.
1. [ITOP ↗](http:https://www.topeetboard.com/sydymfl/Product/iTOP-3588.html) - A development board based on the RK3588 chip, providing complete hardware interfaces and software support.
2. [Fire-Fly ↗](https://www.t-firefly.com/doc/download/164.html) - A development board based on the RK3588 chip, providing complete hardware interfaces and software support.
3. [Orange Pi ↗](http:https://www.orangepi.cn/) - Orange Pi.
4. [YourLand Laptop ↗](https://nanocode.cn/#/yl/) - A laptop based on RK3588 and Linux, designed for sw-developers with rich dev-tools and JTAG debugging support.

## Documentation

- [RK3588 Datasheet ↗](https://www.rock-chips.com/uploads/pdf/2022.8.26/191/RK3588%20Brief%20Datasheet.pdf) - The official datasheet for the RK3588.
- [RKNN User Guide ↗](https://github.com/rockchip-linux/rknn-toolkit2/tree/master/doc) - The official user guide for the Rockchip NPU interface.
- [iTOP-RK3588 Development Board Specification↗](http:https://topeetboard.com/sydymfl/dwon/iTOP3588%E5%BC%80%E5%8F%91%E6%9D%BF%E8%A7%84%E6%A0%BC%E4%B9%A6.pdf) - Detailed parameters of this development board.
1. [RK3588 Datasheet ↗](https://www.rock-chips.com/uploads/pdf/2022.8.26/191/RK3588%20Brief%20Datasheet.pdf) - The official datasheet for the RK3588.
2. [RKNN User Guide ↗](https://github.com/rockchip-linux/rknn-toolkit2/tree/master/doc) - The official user guide for the Rockchip NPU interface.
3. [iTOP-RK3588 Development Board Specification↗](http:https://topeetboard.com/sydymfl/dwon/iTOP3588%E5%BC%80%E5%8F%91%E6%9D%BF%E8%A7%84%E6%A0%BC%E4%B9%A6.pdf) - Detailed parameters of this development board.

## Tools

- [RKNN-Toolkit2 ↗](https://github.com/rockchip-linux/rknn-toolkit2) - The official software development kit for performing model conversion, inference, and performance evaluation on the Rockchip NPU.
- [librga ↗](https://github.com/airockchip/librga) - Raster Graphic Acceleration Unit. It is an independent 2D hardware accelerator that can be used to accelerate point/line drawing and perform common 2D graphics operations such as image scaling, rotation, bitBlt, and alpha blending.
-

## Sample Code

- [RKNN Examples ↗](https://github.com/rockchip-linux/rknn-toolkit2/tree/master/examples) - Official examples of how to use the RKNN-Toolkit2 to perform model conversion, inference, and evaluation on the Rockchip NPU.
1. [RKNN Examples ↗](https://github.com/rockchip-linux/rknn-toolkit2/tree/master/examples) - Official examples of how to use the RKNN-Toolkit2 to perform model conversion, inference, and evaluation on the Rockchip NPU.

## Forum

- [iTOP-RK3588↗](http:https://bbs.topeetboard.com/forum.php?mod=forumdisplay&fid=55) - Beijing Xunwei iTOP-RK3588 Development Board Technical Discussion Zone.
1. [iTOP-RK3588↗](http:https://bbs.topeetboard.com/forum.php?mod=forumdisplay&fid=55) - Beijing Xunwei iTOP-RK3588 Development Board Technical Discussion Zone.

---

Expand Down
59 changes: 29 additions & 30 deletions README_CN.md
View file
Original file line number Diff line number Diff line change
Expand Up @@ -21,57 +21,56 @@ RK3588 是由 [Rockchip ↗](https://www.rock-chips.com/a/en/)发布的旗舰 8K

## 官方资源

- [Rockchip-Linux ↗](https://github.com/rockchip-linux) - GitHub 上的 Rockchip Linux 官方仓库。
- [RKNPU2 ↗](https://github.com/rockchip-linux/rknpu2) - Rockchip NPU 接口的官方仓库。
- [RKNN-Toolkit2 ↗](https://github.com/rockchip-linux/rknn-toolkit2) - 在 Rockchip NPU 上执行模型转换、推理和性能评估的官方软件开发工具包。
- [librga ↗](https://github.com/airockchip/librga) - RGA (Raster Graphic Acceleration Unit)是一个独立的2D硬件加速器，可用于加速点/线绘制，执行图像缩放、旋转、bitBlt、alpha混合等常见的2D图形操作。
- [RKLLM ↗](https://github.com/airockchip/rknn-llm ) - RKLLM软件栈可以帮助用户快速将AI模型部署到瑞芯微的芯片上。
- [RK3588 Linux SDK 开发及产品应用介绍↗](https://www.bilibili.com/video/BV1kV4y1W7X5) - RK3588 Linux SDK 开发及产品应用介绍
- [RKNPU2 从入门到实践↗](https://www.bilibili.com/video/BV1Kj411D78q) - RKNPU2 从入门到实践（基于 RK3588 和 RK3568）
- [RK3588 Linux SDK开发及产品应用介绍↗](https://www.bilibili.com/video/BV1kV4y1W7X5) - RK3588 Linux SDK开发及产品应用介绍
- [RKNPU2从入门到实践（基于RK3588和RK3568）↗](https://www.bilibili.com/video/BV1Kj411D78q) - RKNPU2从入门到实践（基于RK3588和RK3568）
1. [Rockchip-Linux ↗](https://github.com/rockchip-linux) - GitHub 上的 Rockchip Linux 官方仓库。
2. [RK3588 Linux SDK 开发及产品应用介绍↗](https://www.bilibili.com/video/BV1kV4y1W7X5) - RK3588 Linux SDK 开发及产品应用介绍
3. [RKNPU2 从入门到实践↗](https://www.bilibili.com/video/BV1Kj411D78q) - RKNPU2 从入门到实践（基于 RK3588 和 RK3568）
4. [RK3588 Linux SDK开发及产品应用介绍↗](https://www.bilibili.com/video/BV1kV4y1W7X5) - RK3588 Linux SDK开发及产品应用介绍
5. [RKNPU2从入门到实践（基于RK3588和RK3568）↗](https://www.bilibili.com/video/BV1Kj411D78q) - RKNPU2从入门到实践（基于RK3588和RK3568）

## RKNN

- [RKNN模型库 ↗](https://github.com/airockchip/rknn_model_zoo/tree/main) - 一个包含了预训练模型的收藏夹，用于 Rockchip NPU，包括图像分类、目标检测、语义分割等。
- [RKNPU2模型部署 ↗](https://github.com/PaddlePaddle/FastDeploy/blob/develop/docs/en/faq/rknpu2/rknpu2.md) - 使用 RKNPU2 接口在 Rockchip NPU 上部署模型的指南。
1. [RKNN模型库 ↗](https://github.com/airockchip/rknn_model_zoo/tree/main) - 一个包含了预训练模型的收藏夹，用于 Rockchip NPU，包括图像分类、目标检测、语义分割等。
2. [RKNPU2模型部署 ↗](https://github.com/PaddlePaddle/FastDeploy/blob/develop/docs/en/faq/rknpu2/rknpu2.md) - 使用 RKNPU2 接口在 Rockchip NPU 上部署模型的指南。
3. [RKNPU2 ↗](https://github.com/rockchip-linux/rknpu2) - Rockchip NPU 接口的官方仓库。
4. [RKNN-Toolkit2 ↗](https://github.com/rockchip-linux/rknn-toolkit2) - 在 Rockchip NPU 上执行模型转换、推理和性能评估的官方软件开发工具包。
5. [librga ↗](https://github.com/airockchip/librga) - RGA (Raster Graphic Acceleration Unit)是一个独立的2D硬件加速器，可用于加速点/线绘制，执行图像缩放、旋转、bitBlt、alpha混合等常见的2D图形操作。
6. [RKLLM ↗](https://github.com/airockchip/rknn-llm ) - RKLLM软件栈可以帮助用户快速将AI模型部署到瑞芯微的芯片上。

## 项目

- [Yolov5 DeepSORT ↗](https://github.com/Zhou-sx/yolov5_Deepsort_rknn) - 使用YoloV5和DeepSORT在RK3588/RK3399pro上跟踪车辆和人的项目。
- [Yolov5 RK3588 Python ↗](https://github.com/cluangar/YOLOv5-RK3588-Python) - 使用rknn-toolkit2修改代码在RK3588上运行YoloV5的项目。
- [RKNN多线程 ↗](https://github.com/leafqycc/rknn-multi-threaded) - 一个在多线程上运行RKNN模型以提高性能的项目。
- [ubuntu-rockchip ↗](https://github.com/Joshua-Riek/ubuntu-rockchip/tree/main) - 适用于Rockchip RK3588设备的Ubuntu 22.04。
- [buildroot-rk3588 ↗](https://github.com/Military-Vehicle-Detection/buildroot-rk3588) - 基于RK3588 CPU的ROCK 5B的Buildroot构建。
- [NixOS running on RK3588/RK3588s ↗](https://github.com/ryan4yin/nixos-rk3588) - 基于 RK3588/RK3588s 的 SBC（Orange Pi 5 Plus、Orange Pi 5、Rock 5A）上运行的Minimal NixOS.
- [Rockchip-Windows-Drivers ↗](https://github.com/worproject/Rockchip-Windows-Drivers)- 适用于 RK35xx 平台的 Windows on Arm 驱动程序.)
- [yolov8_rknn_Cplusplus ↗](https://github.com/cqu20160901/yolov8_rknn_Cplusplus)- YoloV8 rknn C++.
1. [Yolov5 DeepSORT ↗](https://github.com/Zhou-sx/yolov5_Deepsort_rknn) - 使用YoloV5和DeepSORT在RK3588/RK3399pro上跟踪车辆和人的项目。
2. [Yolov5 RK3588 Python ↗](https://github.com/cluangar/YOLOv5-RK3588-Python) - 使用rknn-toolkit2修改代码在RK3588上运行YoloV5的项目。
3. [RKNN多线程 ↗](https://github.com/leafqycc/rknn-multi-threaded) - 一个在多线程上运行RKNN模型以提高性能的项目。
4. [ubuntu-rockchip ↗](https://github.com/Joshua-Riek/ubuntu-rockchip/tree/main) - 适用于Rockchip RK3588设备的Ubuntu 22.04。
5. [buildroot-rk3588 ↗](https://github.com/Military-Vehicle-Detection/buildroot-rk3588) - 基于RK3588 CPU的ROCK 5B的Buildroot构建。
6. [NixOS running on RK3588/RK3588s ↗](https://github.com/ryan4yin/nixos-rk3588) - 基于 RK3588/RK3588s 的 SBC（Orange Pi 5 Plus、Orange Pi 5、Rock 5A）上运行的Minimal NixOS.
7. [Rockchip-Windows-Drivers ↗](https://github.com/worproject/Rockchip-Windows-Drivers)- 适用于 RK35xx 平台的 Windows on Arm 驱动程序.)
8. [yolov8_rknn_Cplusplus ↗](https://github.com/cqu20160901/yolov8_rknn_Cplusplus)- YoloV8 rknn C++.

## 开发板

- [ITOP ↗](http:https://www.topeetboard.com/sydymfl/Product/iTOP-3588.html) - 基于 RK3588 芯片的开发板，提供完整的硬件接口和软件支持。
- [Fire-Fly ↗](https://www.t-firefly.com/doc/download/164.html) - 基于 RK3588 芯片的开发板，提供完整的硬件接口和软件支持。
- [Orange Pi ↗](http:https://www.orangepi.cn/) - Orange Pi。
- [YourLand Laptop ↗](https://nanocode.cn/#/yl/) - 基于RK3588和Linux的笔记本电脑，专为软件开发人员设计，具有丰富的开发工具和JTAG调试支持。
1. [ITOP ↗](http:https://www.topeetboard.com/sydymfl/Product/iTOP-3588.html) - 基于 RK3588 芯片的开发板，提供完整的硬件接口和软件支持。
2. [Fire-Fly ↗](https://www.t-firefly.com/doc/download/164.html) - 基于 RK3588 芯片的开发板，提供完整的硬件接口和软件支持。
3. [Orange Pi ↗](http:https://www.orangepi.cn/) - Orange Pi。
4. [YourLand Laptop ↗](https://nanocode.cn/#/yl/) - 基于RK3588和Linux的笔记本电脑，专为软件开发人员设计，具有丰富的开发工具和JTAG调试支持。

## 文档

- [RK3588数据手册 ↗](https://www.rock-chips.com/uploads/pdf/2022.8.26/191/RK3588%20Brief%20Datasheet.pdf) - RK3588 的官方数据手册。
- [RKNN用户指南 ↗](https://github.com/rockchip-linux/rknn-toolkit2/tree/master/doc) - Rockchip NPU 接口的官方用户指南。
- [iTOP-RK3588开发板规格书↗](http:https://topeetboard.com/sydymfl/dwon/iTOP3588%E5%BC%80%E5%8F%91%E6%9D%BF%E8%A7%84%E6%A0%BC%E4%B9%A6.pdf) - 此款开发板的各项详细参数
1. [RK3588数据手册 ↗](https://www.rock-chips.com/uploads/pdf/2022.8.26/191/RK3588%20Brief%20Datasheet.pdf) - RK3588 的官方数据手册。
2. [RKNN用户指南 ↗](https://github.com/rockchip-linux/rknn-toolkit2/tree/master/doc) - Rockchip NPU 接口的官方用户指南。
3. [iTOP-RK3588开发板规格书↗](http:https://topeetboard.com/sydymfl/dwon/iTOP3588%E5%BC%80%E5%8F%91%E6%9D%BF%E8%A7%84%E6%A0%BC%E4%B9%A6.pdf) - 此款开发板的各项详细参数

## 工具

- [RKNN-Toolkit2 ↗](https://github.com/rockchip-linux/rknn-toolkit2) - 在 Rockchip NPU 上执行模型转换、推理和性能评估的官方软件开发工具包。
- [librga ↗](https://github.com/airockchip/librga) - RGA (Raster Graphic Acceleration Unit)是一个独立的2D硬件加速器，可用于加速点/线绘制，执行图像缩放、旋转、bitBlt、alpha混合等常见的2D图形操作。
-

## 示例代码

- [RKNN示例 ↗](https://github.com/rockchip-linux/rknn-toolkit2/tree/master/examples) - 使用 RKNN-Toolkit2 执行模型转换、推理和评估的官方示例。
1. [RKNN示例 ↗](https://github.com/rockchip-linux/rknn-toolkit2/tree/master/examples) - 使用 RKNN-Toolkit2 执行模型转换、推理和评估的官方示例。

## 论坛

- [iTOP-RK3588↗](http:https://bbs.topeetboard.com/forum.php?mod=forumdisplay&fid=55) - 北京迅为 iTOP-RK3588 开发板技术讨论专区
1. [iTOP-RK3588↗](http:https://bbs.topeetboard.com/forum.php?mod=forumdisplay&fid=55) - 北京迅为 iTOP-RK3588 开发板技术讨论专区

---

Expand Down

0 comments on commit 1f329ba

Please sign in to comment.