1. X-LINUX-AI v5.0.0[edit | edit source]
 Information
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This version is compatible with Yocto Project® build system Mickledore (v4.2) and has been validated against the OpenSTLinux ecosystem release v5.0.0  and validated on STM32MP1 series' boards  .
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1.1. Contents[edit | edit source]
- Error creating thumbnail: Unable to save thumbnail to destinationXNNPACK [1] support for TensorFlow™ Lite and ONNX Runtime, with about 20% to 30% performance gain for quantized networks on a 32-bit system
- Error creating thumbnail: Unable to save thumbnail to destinationTensorFlow™ Lite[2] 2.11.0 with XNNPACK delegate activated
- Error creating thumbnail: Unable to save thumbnail to destinationONNX Runtime[3] 1.14.0 with XNNPACK execution engine activated
- Coral Edge TPU™[4] accelerator native support
- libedgetpu 2.0.0 (Gouper) aligned with TensorFlow™ Lite 2.11.0
- libcoral 2.0.0 (Gouper) aligned with TensorFlow™ Lite 2.11.0
- PyCoral 2.0.0 (Gouper) aligned with TensorFlow™ Lite 2.11.0
- OpenCV[5] 4.7.x
- Gstreamer [6] 1.22.x
- Python™[7] 3.10.x (enabling Pillow module)
- Application samples
- Error creating thumbnail: Unable to save thumbnail to destinationC++ / Python Object detection using ONNX™ Runtime COCO SSD MobileNet v1 quantized model
- Python image classification using ONNX™ Runtime based on MobileNet v1 quantized model
- C++ / Python image classification using TensorFlow™ Lite based on MobileNet v1 quantized model
- C++ / Python object detection using TensorFlow™ Lite based on COCO SSD MobileNet v1 quantized model
- C++ / Python image classification using Coral Edge TPU™ based on MobileNet v1 quantized model and compiled for the Coral Edge TPU™
- C++ / Python object detection using Coral Edge TPU™ based on COCO SSD MobileNet v1 quantized model and compiled for the Coral Edge TPU™
- C++ face recognition using TensorFlow™ Lite models capable of recognizing the face of a known (enrolled) user (available on demand)
- Application support for the 720p, 480p, and 272p display configurations
- Error creating thumbnail: Unable to save thumbnail to destinationC++/Python application camera pipeline update to use GtkWaylandsink and achieve better performance
- 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 provides support for all the above frameworks. It is available from the X-LINUX-AI product page
1.2. Validated hardware[edit | edit source]
As any software expansion package, the X-LINUX-AI is supported on all STM32MP1 series and it has been validated on the following boards:
- STM32MP157F-DK2
- STM32MP157F-EV1
- STM32MP135F-DK