在Charlie的例子中,电路板将所有的传感器数据从Arduino传输到另一台机器上,而这台机器将用Tensorflow.js对手势进行分类。我们更进一步,通过在Arduino板上执行手势分类来“TinyML-ify”它。在我们的示例中,由于我们使用的Arduino Nano 33 BLE感知板具有更强大的Arm Cortex-M4处理器和一个内置的IMU,这使得实现起来更容易...
基于CNN 的视觉模型 http://cs231n.github.io/convolutional-networks/ 我们将展示一个简单但完整的端到端 TinyML 应用,无需深厚的 ML 或嵌入式背景就可以快速实现。此处所涉内容包括数据采集、训练和分类器部署。我们介绍的是一个演示应用,您可连接一个外部摄像头,在此基础上进行改进和完善。我们希望您能了解我们...
The 3 main devices that are used to run TinyML examples are the Sparkfun Edge Board, STM32F746G Discovery kit, and the Arduino Nano 33 BLE Sense. There are others that are moving to use TinyML but in this post the A...
Thumb-sized, powerful MCUs with ESP32, RP2040, nRF52840, and SAMD21. Perfect for space-conscious AI TinyML and IoT projects requiring wireless connectivity.
社团成员均参加过柴火创客空间硬件入门和TinyML微型机器学习创客营,熟悉矽递科技硬件。 以下为该教程作者介绍 赵佳奇 会员编号:CHSZ2022061394 河北科技大学飞行器设计与工程专业本科二年级学生,现任航模队航电控制组组长,曾获中国国际飞行器设计创新挑战赛国家一等奖。 擅长Arduino、STM32单片机和QT上位机嵌入式开发与...
Moving into TinyML In this section, you’ll find articles and guides related to TinyML. Tiny Machine Learning (TinyML) is a field of machine learning that focuses on the development and deployment of ML models on low power, low-footprint microcontroller devices like Ar...
Harvard_TinyMLx Arduino Library Source code and examples for using and testing your Tiny Machine Learning Kit and Shield. This library also includes: A modified verison of the 0.0.2 version of the OV767X Library for Arduino (Copyright (c) 2020 Arduino SA) which is based on Linux Kernel V4L...
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TinyML Open Source Edge AI Contributions Github Contributions Guide Scale up Your Creation with Seeed Studio Fusion Popular Platforms Arduino Get Started with Arduino Shield Tutorials Arduino Basic Usage Download Arduino and install Arduino driver A Handy Serial Library How to install an Arduino library ...
Grove Beginner Kit For Arduino 开箱初印象当我还焦虑给学生上课时,各种连线故障,元件缺失的问题时,早在2年前 GROVE BEGINNER KIT for Arduino by Seeed 就已经创生了,通过其他老师推荐,经过考古,原来它与风靡全国的创客运动的发源地之一 “柴火空间” 联系起来的。这就是轮回,我在被拉入创客行列的2015...