Advertisement

QT GDB for Raspberry Pi on Windows

  •  5星
  •     浏览量: 0
  •     大小:None
  •      文件类型:None


简介:
QT GDB for Raspberry Pi on Windows是一款专为Windows用户设计的工具,支持通过Qt框架调试运行在Raspberry Pi上的程序,方便开发人员进行远程调试和性能优化。 使用gdb在Windows上通过交叉调试方式对树莓派上的Qt程序进行调试,在Qt Creator版本3.6.0 rc1下完成。

全部评论 (0)

还没有任何评论哟~
客服
客服
  • QT GDB for Raspberry Pi on Windows
    优质
    QT GDB for Raspberry Pi on Windows是一款专为Windows用户设计的工具,支持通过Qt框架调试运行在Raspberry Pi上的程序,方便开发人员进行远程调试和性能优化。 使用gdb在Windows上通过交叉调试方式对树莓派上的Qt程序进行调试,在Qt Creator版本3.6.0 rc1下完成。
  • Paddle-Lite v2.8 on Raspberry Pi 4B
    优质
    Paddle-Lite v2.8在Raspberry Pi 4B上的应用介绍,展示其针对树莓派优化的轻量级高性能深度学习推理能力。 已经编译好的Python 3.7版本的Paddle-Lite v2.8可以直接运行ppyolo。
  • Magic Mirror on Raspberry Pi using Pygame: Magmirror
    优质
    Magmirror是一款基于Raspberry Pi和Pygame开发的魔镜程序,它将时间、日历和天气预报等实用信息融入日常生活的装饰元素中。 Magirror——基于pygame的树莓派魔镜原创项目 首先,为什么要用pygame?GitHub上已经有一个MagicMirror的项目了,并且它的star数也很高。我去试着安装了一下,但环境配置了好几天都没成功。毕竟作者是外国人,网络情况和国内有所不同(你懂的),还要装nodejs、electron等工具,遇到不少问题。因此我决定使用pygame来编写一个魔镜程序——只要你的设备支持完整的Python环境就能运行!真的是有手就行! 目前软件部分已经完成,但原子镜还没上架,包装也还未开始制作。不过这些都不是大问题,并且我还想扩展一些智能家居、传感器和语音助手等外设功能,所以还没有做包装。 版本v1.2.2(不定期更新) ### 功能概览 - 显示天气及生活指数信息。 - 展示今明两天的课程表。
  • Full Stack Web Development on Raspberry Pi 3 - August 2017
    优质
    本课程聚焦于在树莓派3上进行全栈网页开发,涵盖从后端到前端的技术实践,助您掌握嵌入式系统上的Web应用开发。 Full Stack Web Development with Raspberry Pi 3 Author: Soham Kamani ISBN-10: 1788295897 ISBN-13: 9781788295895 Release Date: November 6, 2017 Pages: 268 List Price: $34.99 Book Description: Key Features: - Utilize JavaScript, HTML5, and Cloud APIs to create visual representations and interactive web applications. - Learn how to install and use a Node.js-based web framework for developing Raspberry Pi 3-powered web applications. - A step-by-step guide covering everything from setting up an embedded system to creating device-driven interactive web applications. Book Description: The combination of modern web technology and portable computing has led to significant advancements in areas such as the Internet of Things (IoT), machine learning, and big data. The Raspberry Pi is a widely-used portable computer for running full stack web applications. This book will equip you with the skills needed to master this rapidly evolving field and develop complex web applications. The book begins by introducing the components that make up the web development stack and how they integrate into your Raspberry Pi-powered web applications. It also familiarizes readers with the Raspberry Pi computer, guiding them through setting it up for use. Next, you will learn about different types of sensors used in these applications; using this knowledge, you can create full-stack web apps accessible via a web interface. Later chapters cover building interactive web apps using JavaScript and HTML5 to display sensor data visually. Finally, the book teaches how to store and retrieve sensor data from multiple Raspberry Pi computers by utilizing SQLite databases. Upon completion of this guide, readers will be able to develop complex full stack web applications on Raspberry Pi 3, improving both performance and usability. What You Will Learn: - Set up your Raspberry Pi - Understand end-to-end development processes for web apps—from operating system installation to HTML interface creation. - Discover JavaScripts rapid growth as a language that can run both in browsers and servers, enabling complete stack development with it. - Connect your application to the outside world through IoT applications using sensors on your Raspberry Pi. - Create an engaging UI with interactive charts running on any browser. - Make data-driven software by collecting and analyzing information from multiple systems using SQLite. About the Author: Soham Kamani is a full-stack developer specializing in JavaScript. He works as a consultant, developing web-based solutions for clients worldwide. An open-source enthusiast and blogger, he has extensive experience with frameworks like React, Angular, Node.js, Express, Sails.js along with databases such as SQLite, Postgres and MySQL. His work spans the Internet of Things space using Arduino and Raspberry Pi systems. Contents: - Chapter 1: Getting Started on the Raspberry Pi - Chapter 2: Setting Up Web Development Environment on Your Raspberry Pi - Chapter 3: Running a Node.js Server on the Pi - Chapter 4: Extracting Information from GPIO Pins - Chapter 5: Retrieving Sensor Readings via Servers - Chapter 6: Creating a Web Page to Display Sensor Data - Chapter 7: Enhancing UI with Interactive Charts - Chapter 8: SQLite - A Fast and Portable Database Solution - Chapter 9: Integrating SQLite into Your Application - Chapter 10: Making Real-Time Applications Using Web Sockets - Chapter 11: Deploying the Application to Firebase - Chapter 12: Updating the Application with Firebase APIs
  • Python Voice Recognition on Raspberry Pi: Personal Script to Start Playlist Playback
    优质
    本脚本利用Python语音识别技术在Raspberry Pi上实现个性化音乐播放列表控制,轻松启动和切换歌曲。适合初学者入门项目。 Python语音识别Raspberry项目
  • CODESYS 控制软件 for Raspberry PI 4.0.1.0 包
    优质
    CODESYS控制软件for Raspberry PI 4.0.1.0包提供了一个强大的开发平台,支持在树莓派上进行工业自动化应用编程。该版本优化了性能并增加了新的功能。 CODESYS Control for Raspberry PI 4.0.1.0.package是一款软件包。
  • Raspberry Pi for Python Programmers Cookbook (Second Edition) 无水印pdf
    优质
    《Raspberry Pi for Python Programmers Cookbook》第二版是一本针对Python程序员的实用手册,提供了大量的食谱式教程和项目案例,帮助读者利用树莓派进行硬件编程和软件开发。本书适合具有一定Python基础并希望在树莓派上实践的开发者阅读。 Raspberry Pi for Python Programmers Cookbook(第2版)英文无水印pdf 已使用FoxitReader和PDF-XChangeViewer测试所有页面均可正常打开。 本资源来源于网络,如侵犯了您的权益,请联系上传者删除。
  • Raspberry Pi Networking Recipes (PACKT, 2013)
    优质
    《Raspberry Pi Networking Recipes》(2013)由Packt出版社出版,提供了一系列实用指南和解决方案,帮助读者利用树莓派进行网络配置与编程。 The Raspberry Pi is more than just a tool for teaching students to program. This book offers numerous practical applications that demonstrate how this affordable computer can be utilized right out of the box, leveraging existing networks and connectivity. The Raspberry Pi Networking Cookbook serves as an essential reference guide filled with solutions applicable both at home and in the office. It begins with detailed instructions on installation and configuration, making it suitable for reading cover-to-cover or as a handy companion while working with your Raspberry Pi. Each recipe is designed to be practical and engaging, helping you build upon your existing skills without requiring any programming knowledge. This cookbook will enable you to transform how you use technology daily—from sharing media across devices to deploying your own web portal or accessing your desktop remotely.
  • CODESYS 控制 Raspberry PI 4.0.0.0
    优质
    本软件利用CODESYS平台控制Raspberry Pi 4,提供强大且灵活的编程环境,支持多种工业协议和自动化任务,适用于教育与研发项目。 在电脑上打开CODESYS后,点击“工具”菜单中的“包管理器”,然后选择安装选项。将树莓派的RAR文件解压,并选中其中的package文件进行安装。完成安装后关闭并重启CODESYS软件,在重启后的界面中点击【工具】》【Update Raspberry Pi】以打开设备控制窗口,输入用户名和密码并保存设置,接着更改package路径并扫描连接,选择单核或多核(默认为多核心),然后开始安装。最后通过点击system info查看状态信息。
  • OpenCV for GPU on Windows 安装包
    优质
    本安装包提供在Windows系统上为OpenCV库配置GPU支持所需的所有文件和组件。下载后可轻松加速计算机视觉应用中的并行计算任务。 OpenCV版本:4.5.2,包括contrib模块编译环境:Windows 10,Visual Studio 2017,CUDA 10.2 支持GPU Compute Capability:6.1、7.0 和 7.5。