X-LINUX-AI OpenSTLinux Expansion Package - v6.0.0

1. X-LINUX-AI v6.0.0[edit | edit source]

Information

This version is compatible with Yocto Project^® build system Scarthgap (v5.0.3) and has been validated against the OpenSTLinux ecosystem release v6.0.0 and validated on STM32MP1 series' boards and STM32MP2 series' boards

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1.1. Contents[edit | edit source]

AI Frameworks :
- STAI_MPU Unified API based on OpenVX™(STM32MP25x only), TensorFlow™ Lite and ONNX Runtime™ compatible with all STM32MPU series
- TIM-VX™ ^[1] 1.2.6 (STM32MP25x only)
- TensorFlow™ ^[2] Lite 2.16.2 with VX-delegate (NPU/GPU for STM32MP25x only) and XNNPACK delegate activated (CPU only)
- ONNX Runtime™ ^[3] 1.19.2 with VSINPU execution provider (NPU/GPU for STM32MP25x only) and XNNPACK provider activated (CPU only)

Out of the box applications examples:
- 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.
- Multi pose estimation :
  - 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 STAI_MPU Unified API based on the blazeface and facenet quantized models.
- Note: applications are based on Gstreamer 1.22.x, GTK® 3.x, OpenCV 4.9.x, Pillow, Python™ 3

On-target utilities:
- X-LINUX-AI tool suite: software information, management of AI packages, and benchmarking of neural network models.
- Support for a wide range of image sensors and camera modules for STM32 MPUs including:
  - IMX335 (5MP) for STM32MP2 with the use of its internal ISP
  - GC2145
  - OV5640 for STM32MP13xx

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

1.2. Validated hardware[edit | edit source]

X-LINUX-AI v6.0.0 is supported on all STM32MP1 series' boards and STM32MP2 series' boards and it has been validated on the following boards:

STM32MP257F-EV1 Evaluation board
STM32MP157F-DK2 Discovery kit
STM32MP135F-DK Discovery kit

[timvx_url-1] TIM-VX

[tensorflowlite_url-2] TensorFlow Lite

[onnx_runtime_url-3] ONNX Runtime

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