Tag: aix

AIX360-CEMExplainer: MNIST Example

CEMExplainer: MNIST Example There is a lot of nonsense in this part, so you can skip it if there is no problem with the guide package. Load the MNIST dataset Load the trained MNIST model Load a trained convolutional autoencoder model (optional) Initialize the CEM interpreter to interpret model predictions Interpret input example Obtain Pertinent […]

＜AIX＞《AIX RAID operation of LV logical volume mirroring, that is, lvcopy operation》

“AIX RAID operation of LV logical volume mirroring, that is, lvcopy operation” 1 RAID technology 2 AIX logical volume group mirroring 3 environment 3.1 Operating system version 3.2 Check the lv of rootvg 3.3 Check the disk information of rootvg 4 Create the lv logical volume of test test 4.1 Test 1: Create mirror lv […]

[OpenVINOSharp] Use OpenVinoSharp to deploy the Yolov8 model on the Intel? Developer Kit Aix Development Board

Use OpenVinoSharp to deploy the Yolov8 model on the Intel? Developer Kit Aix development board 1. Introduction to Intel Development Kit AIxBoard 1. Product positioning 2. Product parameters 3. AI reasoning unit 2. Configure the .NET environment 1. Add the Microsoft package repository 2. Install the SDK 3. Test the installation 4. Test console project […]

C && FreeRTOS Development K210(MaixBit)

MaxiBit FreeRTOS adapts to ov2640 Stream saving: complete project pin definition const fpioa_cfg_t g_fpioa_cfg = {<!– –> .version = PIN_CFG_VERSION, .functions_count = 11, .functions = {<!– –> {<!– –>DCX_IO, FUNC_GPIOHS0 + DCX_GPIONUM}, {<!– –>36, SPI_SS}, {<!– –>39, SPI(SCLK)}, {<!– –>42, FUNC_CMOS_RST}, {<!– –>44, FUNC_CMOS_PWDN}, {<!– –>41, FUNC_SCCB_SCLK}, {<!– –>40, FUNC_SCCB_SDA}, {<!– –>46, FUNC_CMOS_XCLK}, {<!– –>43, […]

Image segmentation and background replacement of the U2-Net model processed by OpenVINO on the AI Aix development board

By: Yaoming Kang – Intel Innovation Ambassador for Edge Computing One. AIxBoardIntroduction 1.Background AIxBoard (AixBoard) is an artificial intelligence embedded development board launched by Blue Frog Intelligence in 2023. It is a member of the official series of Intel development kits and is designed to support entry-level artificial intelligence applications and edge smart devices. It […]

Renesas RA SeriesUse TinyMaix to recognize handwritten digits

1. Introduction to TinyMaix TinyMaix is a lightweight AI reasoning framework developed by the domestic sipeed team. The official introduction is as follows: TinyMaix is an ultra-lightweight neural network reasoning library for microcontrollers, namely TinyML reasoning library, which allows you to run lightweight deep learning models on any microcontroller. According to the official introduction, on […]

Developer Practice | Accelerate YOLOv8 Object Detection Model with OpenVINO? on AI Aix Development Board

01 Introduction “Using OpenVINO? to Accelerate YOLOv8 Classification Model on AI Aix Development Board” introduces the AI Aix Development Board Use the OpenVINO? development kit to deploy and evaluate the classification model of YOLOv8. This article will introduce the use of OpenVINO on the AI Aix Development Board sup>? Speed up the YOLOv8 object detection […]

Developer Practice | Self-training Pytorch model is optimized using OpenVINO? and deployed on the AI Aix development board…

Introduction This article will introduce in turn how to transform the Pytorch self-training model into an OpenVINO? IR model through a series of transformations, and then use the OpenVINO? Python API to infer the IR model, and Display the inference results on the real-time screen through OpenCV API. The development environment of the Python program […]

Developer Practice | Accelerate the YOLOv8 classification model with OpenVINO? on the AI Aix development board

click on the blue word Follow us to make development more interesting The following article comes from Intel Internet of Things, authored by Intel Internet of Things Industry Innovation Ambassador Yang Xuefeng This series of articles will use the OpenVINO? development kit on the AI Aix development board to deploy and evaluate YOLOv8’s Classification models, […]