X-LINUX-AI OpenSTLinux Expansion Package - v5.1.0

1. X-LINUX-AI v5.1.0[edit | edit source]

Information

This version is compatible with Yocto Project^® build system Mickledore (v4.2.4) and has been validated against the OpenSTLinux ecosystem release v5.1.0 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, Coral Edge TPU™ and ONNX Runtime™ compatible with all STM32MPU series
- TIM-VX™ ^[1] 1.1.57 (STM32MP25x only)
- TensorFlow™ ^[2] Lite 2.11.0 (CPU only) with XNNPACK delegate activated
- ONNX Runtime™ ^[3] 1.14.0 (CPU only) with XNNPACK execution engine activated
- Coral Edge TPU™ '^[4] 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 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
- Note: applications are based on Gstreamer 1.22.x, GTK® 3.x, OpenCV 4.7.x, Pillow, Python™ 3

On demand application :
- Face Recognition :
  - C++ example using proprietary face recognition model of an enrolled user.

Warning

The face recognition binary is available on demand. Please contact the local STMicroelectronics support for more information about this application or send a request to edge.ai@st.com

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 v5.1.0 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

[edgetpu_url-4] Coral Edge TPU

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