X-LINUX-AI Tool

This article aims to give general information about the x-linux-ai tool. (il faut developper encore un petit peu)

1. Description

1.1. What is X-LINUX-AI Tool ?

The X-LINUX-AI tool is a software designed to verify the current version of X-Linux-AI and to display a comprehensive list of all the available features and applications.

2. X-LINUX-AI Tool installation

Warning

The software package is provided AS IS, and by downloading it, you agree to be bound to the terms of the software license agreement (SLA0048). The detailed content licenses can be found here.

After having configured the AI OpenSTLinux package you can install the X-LINUX-AI components.

    apt-get install x-linux-ai-tool

And restart the demo launcher:

    systemctl restart weston-graphical-session.service

3. How to use X-LINUX-AI Tool:

Usage:x-linux-ai

-v --version : Show X-LINUX-AI current version if it is installed
-f --supported-features : Print all supported frameworks in this X-LINUX-AI version
-a --supported-appli : Print all delivered applications in this X-LINUX-AI version
-h --help : Show this help

3.1. Usage Example

    x-linux-ai -v

X-LINUX-AI version: v5.0.0

    x-linux-ai -f

Features:
 * TensorFlow™ Lite 2.11.0 with XNNPACK delegate activated 
 * ONNX Runtime 1.14.0 with XNNPACK execution engine activated 
 * OpenCV 4.7.x 
 * Python™ 3.10.x (enabling Pillow module) 
 * Coral Edge TPU™ 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 
 * Support for the OpenSTLinux AI package repository allowing the installation of a prebuilt package using apt-* utilities
Find more informations on the wiki page: https://wiki.st.com/stm32mpu/wiki/X-LINUX-AI_OpenSTLinux_Expansion_Package

   x-linux-ai -a 

Applications:
 * C++ / Python™ image classification example using TensorFlow™ Lite based on the MobileNet v1 quantized model 
 * C++ / Python™ object detection example using TensorFlow™ Lite based on the COCO SSD MobileNet v1 quantized model 
 * C++ / Python™ image classification example using Coral Edge TPU™ based on the MobileNet v1 quantized model and compiled for the Edge TPU™ 
 * C++ / Python™ object detection example using Coral Edge TPU™ based on the COCO SSD MobileNet v1 quantized model and compiled for the Edge TPU™ 
 * 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 
 * Python™ image classification example using ONNX Runtime based on the MobileNet v1 quantized model 
 * C++ / Python™ object detection example using ONNX Runtime based on the COCO SSD MobileNet v1 quantized model

Artificial intelligence

Linux^® is a registered trademark of Linus Torvalds.