X-LINUX-AI version: v5.1.0

X-LINUX-AI is a free of charge open-source software package dedicated to AI. It is a complete ecosystem that allow developers working with OpenSTLinux to create AI-based application very easily.

• All-in-one AI solutions for the entire STM32MPU serie
• Pre-integrated into Linux distribution based on ST environment
• Include AI frameworks to execute Neural Network models
• Include AI model benchmark application tools for MPU
• Easy application prototyping using Python language and AI frameworks Python API
• C++ API for embedded high-performance applications
• Optimized open-source solutions provided with source codes that allow extensive code reuse and time savings

meta-st-x-linux-ai

X-LINUX-AI OpenEmbedded meta layer to be integrated into OpenSTLinux distribution. It contains recipes for AI frameworks, tools and application examples for STM32MPx series

Compatibility

The X-LINUX-AI OpenSTLinux Expansion Package v5.1.0 is compatible with the Yocto Project™ build system Mickledore. It is validated over the OpenSTLinux Distribution v5.1.0 on STM32MP25x and STM32MP1x series.

Versioning

Since its release v5.0.0, the major versioning of the X-LINUX-AI OpenSTLinux Expansion Package is aligned on the major versioning of the OpenSTLinux Distribution. This prevents painful backward compatibility attempts and makes dependencies straightforward. The X-LINUX-AI generic versioning vx.y.z is built as follows:

• x: major version matching the OpenSTLinux Distribution major version. Each new major version is incompatible with previous OpenSTLinux Distribution versions.
• y: minor version, which is changed when new functionalities are added to the X-LINUX-AI OpenSTLinux Expansion Package in a backward compatible manner.
• z: patch version to introduce bug fixes. A patch version is implemented in a backward compatible manner.

Available frameworks and tools within the meta-layer

X-LINUX-AI v5.1.0 expansion package:

• AI Frameworks:

  • STAI_MPU Unified API based on OpenVX™(STM32MP25x only), TensorFlow™ Lite, Coral Edge TPU™ and ONNX Runtime™ compatible with all STM32MPU series
  • TIM-VX™ 1.1.57 (STM32MP25x only)
  • TensorFlow™ Lite 2.11.0 (CPU only) with XNNPACK delegate activated
  • ONNX Runtime™ 1.14.0 (CPU only) with XNNPACK execution engine activated
  • Coral Edge TPU™ accelerator native support
  • libedgetpu 2.0.0 (Grouper) aligned with TensorFlow™ Lite 2.11.0
  • libcoral 2.0.0 (Grouper) aligned with TensorFlow™ Lite 2.11.0
  • PyCoral 2.0.0 (Grouper) aligned with TensorFlow™ Lite 2.11.0

• Out of the box applications:

  • Image classification :
  • C++ / Python™ example using STAI_MPU Unified API]] based on the MobileNet v1 and v2 quantized models
  • Object detection :
  • C++ / Python™ example using STAI_MPU Unified API]] based on the SSD MobileNet v1 and v2 quantized models
  • Python™ example using STAI_MPU Unified API]] based on YoloV8n pose quantized model
  • Semantic segmentation :
  • Python™ example using STAI_MPU Unified API]] based on DeepLabV3 quantized model
  • Face recognition:
  • C++ example 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
  • Note: applications are based on Gstreamer 1.22.x, GTK 3.x, OpenCV 4.7.x, Pillow, Python 3

• Utilities:

  • X-LINUX-AI tool suite provides tools for software information, AI packages management and Neural Network models benchmarking.
  • Support wide range of image sensors for ST MPU including IMX335 (5MP) for MP2 with use of internal ISP, GC2145 and OV5640 for STM32MP13x
  • Support for the OpenSTLinux AI package repository allowing the installation of a prebuilt package using apt-*

• Host tools:

  • ST Edge AI tool for NBG generation
  • X-LINUX-AI SDK add-on extending the OpenSTLinux SDK with AI functionality to develop and build an AI application easily. The X-LINUX-AI SDK add-on supports all the above frameworks. It is available from the X-LINUX-AI product page

Further information on how to install and how to use X-LINUX-AI Starter package

https://wiki.st.com/stm32mpu/wiki/X-LINUX-AI_Starter_package

Further information on how to install and how to use X-LINUX-AI Developer package

https://wiki.st.com/stm32mpu/wiki/X-LINUX-AI_Developer_package

Further information on how to install and how to use X-LINUX-AI Distribution package

https://wiki.st.com/stm32mpu/wiki/X-LINUX-AI_Distribution_package

Application samples

https://wiki.st.com/stm32mpu/wiki/Category:AI_-_Application_examples