製品概要
概要
X-LINUX-AI is an STM32 MPU OpenSTLinux Expansion Package that targets Artificial Intelligence for STM32MP1 Series microprocessors. It contains Linux® AI frameworks, as well as application examples to get started with some basic use cases such as computer vision (CV).
The examples provided in X-LINUX-AI are based on TensorFlow™ Lite models for image classification based on MobileNet v1, and for object detection based on the COCO SSD MobileNet v1 model. The face recognition application provided in X-LINUX-AI as a prebuilt binary is based on models retrained by STMicroelectronics. Contact the local STMicroelectronics support for more information about this application.
These examples use either the TensorFlow™ Lite inference engine supporting Python™ scripting and C/C++ applications, either the Coral Edge TPU™ accelerator supporting Python™ scripting and C/C++application, or the Arm NN inference engine supporting C/C++ application.
X-LINUX-AI runs on the STM32MP157C-DK2 with a USB camera, on the STM32MP157A-EV1 and STM32MP157C-EV1 with their built-in camera module.
It also runs on the STM32MP157A-based Avenger96 board from 96Boards (refer to https://www.96boards.org/product/avenger96/), either with a USB camera or D3 Engineering DesignCore® OV5640 camera mezzanine board (refer to https://www.96boards.org/product/d3camera/).
-
特徴
- TensorFlow™ Lite 2.4.1
- Arm NN 20.11
- OpenCV 4.1.x
- Python™ 3.8.x (enabling Pillow module)
- Support for the STM32MP157F devices operating at up to 800 MHz
- Support of the Avenger96 board from Linaro 96Boards based on the STM32MP157A microprocessor, either with a USB camera or the DesignCore® OV5640 camera mezzanine board from D3 Engineering tested with the OpenSTLinux Distribution v2.1.0
- Coral Edge TPU™ accelerator native support
- libedgetpu 2.4.1 (built from source) aligned with TensorFlow™ Lite 2.4.1
- The X-LINUX-AI OpenSTLinux Expansion Package v2.1.0 is compatible with Yocto Project build systems Thud and Dunfell. As a consequence, it is compatible with OpenSTLinux Distributions v1.2.0, v2.0.0 and v2.1.0 on STM32MP157C-DK2 with a USB camera, and on STM32MP157A-EV1 and STM32MP157C-EV1 with their built-in camera module
- Support for the OpenSTLinux AI package repository allowing the installation of prebuilt package using apt-* utilities
- Application samples
- C++ / Python™ image classification example using TensorFlow™ Lite based on MobileNet v1 quantized model
- C++ / Python™ object detection example using TensorFlow™ Lite based on COCO SSD MobileNet v1 quantized model
- C++ / Python™ image classification example using Coral Edge TPU™ based on MobileNet v1 quantized model and compiled for the Edge TPU™
- C++ / Python™ object detection example using Coral Edge TPU™ based on COCO SSD MobileNet v1 quantized model and compiled for the Edge TPU™
- C++ image classification example using Arm NN TensorFlow™ Lite parser based on MobileNet v1 float model
- C++ object detection example using Arm NN TensorFlow™ Lite parser based on COCO SSD MobileNet v1 quantized model
- C++ face recognition application using proprietary model capable of recognizing the face of a known (enrolled) user. Contact the local STMicroelectronics support for more information about this application or send a request to edge.ai@st.com
ソフトウェア入手
| 製品型番 | 概要 | サプライヤ | 最新バージョン | ダウンロード |
|---|---|---|---|---|
| AISDK-Y-MP1 | Yocto X-LINUX-AI SDK add-ons for STM32MP1 series | ST | 2.2.0 | x ライセンス契約同意Please indicate your acceptance or NON-acceptance by selecting “I ACCEPT” or “I DO NOT ACCEPT” as indicated below in the media. BY INSTALLING COPYING, DOWNLOADING, ACCESSING OR OTHERWISE USING THIS SOFTWARE PACKAGE OR ANY PART THEREOF (AND THE RELATED DOCUMENTATION) FROM STMICROELECTRONICS INTERNATIONAL N.V, SWISS BRANCH AND/OR ITS AFFILIATED COMPANIES (STMICROELECTRONICS), THE RECIPIENT, ON BEHALF OF HIMSELF OR HERSELF, OR ON BEHALF OF ANY ENTITY BY WHICH SUCH RECIPIENT IS EMPLOYED AND/OR ENGAGED AGREES TO BE BOUND BY THIS SOFTWARE PACKAGE LICENSE AGREEMENT. Under STMicroelectronics’ intellectual property rights and subject to applicable licensing terms for any third-party software incorporated in this software package and applicable Open Source Terms (as defined here below), the redistribution, reproduction and use in source and binary forms of the software package or any part thereof, with or without modification, are permitted provided that the following conditions are met:
THIS SOFTWARE PACKAGE IS PROVIDED BY STMICROELECTRONICS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS, IMPLIED OR STATUTORY WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT OF THIRD PARTY INTELLECTUAL PROPERTY RIGHTS ARE DISCLAIMED TO THE FULLEST EXTENT PERMITTED BY LAW. IN NO EVENT SHALL STMICROELECTRONICS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE PACKAGE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. EXCEPT AS EXPRESSLY PERMITTED HEREUNDER AND SUBJECT TO THE APPLICABLE LICENSING TERMS FOR ANY THIRD-PARTY SOFTWARE INCORPORATED IN THE SOFTWARE PACKAGE AND OPEN SOURCE TERMS AS APPLICABLE, NO LICENSE OR OTHER RIGHTS, WHETHER EXPRESS OR IMPLIED, ARE GRANTED UNDER ANY PATENT OR OTHER INTELLECTUAL PROPERTY RIGHTS OF STMICROELECTRONICS OR ANY THIRD PARTY. |
| X-LINUX-AI | AI Expansion Package for STM32MPUs | ST | 2.2.0 | Go to site Get from GitHub |
Save as PDF 注目ビデオ
Follow issues and share solutions on Github for STM32Cube MCU packages. Integrate your own software components in a STM32Cube Expansion for STM32CubeMX and STM32CubeIDE tools, thanks to the new STM32PackCreator utility
STM32CubeMX is part of the STM32Cube initiative designed to simplify and accelerate the development of applications for STM32 microcontrollers. STM32CubeMX offers the possibility to generate C projects using embedded software offers packages like CMSIS-Pack compliant software packs. Starting with the 6.0.0 revision, STM32CubeMX is delivered with STM32PackCreator, an STM32 pack creation graphical companion tool, whose main purpose is the creation of software packs.
The STM32Cube.AI is an extension pack of the widely used STM32CubeMX configuration and code generation tool enabling AI on STM32 Arm® Cortex®-M-based microcontrollers.
推奨コンテンツ
すべてのリソース
| Resource title | バージョン | Latest update |
|---|
製品スペック (1)
| Resource title | バージョン | Latest update | ||
|---|---|---|---|---|
| 4.0 | 01 Jul 2022 | 01 Jul 2022 |
プレゼンテーション (3)
| Resource title | バージョン | Latest update | ||
|---|---|---|---|---|
| 2.0 | 03 Dec 2021 | 03 Dec 2021 | ||
| 9.2 | 14 Mar 2022 | 14 Mar 2022 | ||
| 21.04 | 28 Apr 2021 | 28 Apr 2021 |
ライセンス契約 (1)
| Resource title | バージョン | Latest update | ||
|---|---|---|---|---|
| 6.22 | 28 Jun 2022 | 28 Jun 2022 |