这个是stm32f4与树莓派组成的机器人的电路板，可以拥有stm32f4的最小系统和树莓派进行通讯，使用4片AS1015进行供电，12V转5V和9V，以及相关传感器

在上一篇文章中实现了树莓派下对摄像头的调用，有兴趣的可以看一下：python+opencv实现摄像头调用的方法 接下来，我们将使用python+opencv实现对移动物体的检测 一、环境变量的配置 我们可以参照上一篇文章对我们的树莓派进行环境的配置 当我们将cv2的库安装之后，就可以实现对摄像头的操作 二、摄像头的连接 在此实验中，我使用的为usb摄像头 当我们连接摄像头之后，终端输入 ls /dev/video* 如果终端提示如下： 则表示摄像头连接成功 三、编码实现对移动物体的检测 使用python编写程序，实现对移动物体的检测，代码如下 #encoding=utf-8 import

下载请校验文件Hash： SHA256: F270D4A11FCEF7F85EA77BC0642D1C6DB2666AE734E9DCC4CB875A31C9F0DC57

树莓派 RPi.GPIO-0.4.1a.tar.gz 挺好用的，谷歌code真的不能下

文章目录0. 前言1.概述2.准备SD卡2.1 插sd卡2.2 下载Raspberry Pi Imager 并安装2.3 错误处理2.3.1 报错了，猜应该是中文名字的问题，神`迅雷下载`，放到全英文路径下2.3.2 遇到这个问题，插拔下sd卡2.3.3 然后一直失败，查了不到原因，最后猜是文件有问题，重新下载一个2.4 用新的包试下3.配置网络3.1 改启动文件3.2 启动之后配置wifi4.启动4.1 第一次配置4.2 ssh连接5.安装桌面6.装ros16.1 添加 sources.list6.2 添加公钥6.3 安装6.4 初始化 rosdep6.5 设置环境变量6.6 测试 0. 前

NCS2和树莓派4B安装指南

在树莓派上使用Python进行IoT开发，提供了非常多实践例程。 Book description Leverage Python and Raspberry Pi to create complex IoT applications capable of creating and detecting movement and measuring distance, light, and a host of other environmental conditions Key Features Learn the fundamentals of electronics and how to integrate them with a Raspberry Pi Understand how to build RESTful APIs, WebSocket APIs, and MQTT-based applications Explore alternative approaches to structuring IoT applications with Python Book Description The age of connected devices is here, be it fitness bands or smart homes. It's now more important than ever to understand how hardware components interact with the internet to collect and analyze user data. The Internet of Things (IoT), combined with the popular open source language Python, can be used to build powerful and intelligent IoT systems with intuitive interfaces. This book consists of three parts, with the first focusing on the "Internet" component of IoT. You'll get to grips with end-to-end IoT app development to control an LED over the internet, before learning how to build RESTful APIs, WebSocket APIs, and MQTT services in Python. The second part delves into the fundamentals behind electronics and GPIO interfacing. As you progress to the last part, you'll focus on the "Things" aspect of IoT, where you will learn how to connect and control a range of electronic sensors and actuators using Python. You'll also explore a variety of topics, such as motor control, ultrasonic sensors, and temperature measurement. Finally, you'll get up to speed with advanced IoT programming techniques in Python, integrate with IoT visualization and automation platforms, and build a comprehensive IoT project. By the end of this book, you'll be well-versed with IoT development and have the knowledge you need to build sophisticated IoT systems using Python.

需要学习树莓派ROS的小伙伴可以看看

从5.2版本提取出的scripts/mkknlimg ，5.10下可用 交叉编译详见https://blog.csdn.net/ttham/article/details/120630755

树莓派使用按键元件控制蜂鸣器发声，按下案件后触发蜂鸣器蜂鸣。