【Jenkins】data stream error|Error cloning remote repo ‘origin‘ 错误解决【亲测有效】
错误构建日志
17:39:09 ERROR: Error cloning remote repo 'origin'
17:39:09 hudson.plugins.git.GitException: Command "git fetch --tags --progress http://domain/xxx.git +refs/heads/*:refs/remotes/origin/*" returned status code 128:
17:39:09 stdout:
17:39:09 stderr: remote: Enumerating objects: 262, done.
17:39:09 remote: Counting objects: 0% (1/262)
remote: Counting objects: 1% (3/262)
remote: Counting objects: 2% (6/262)
remote: Counting objects: 3% (8/262)
remote: Counting objects: 4% (11/262)
remote: Counting objects: 5% (14/262)
remote: Counting objects: 6% (16/262)
remote: Counting objects: 7% (19/262)
remote: Counting objects: 8% (21/262)
remote: Counting objects: 9% (24/262)
remote: Counting objects: 10% (27/262)
remote: Counting objects: 11% (29/262)
remote: Counting objects: 12% (32/262)
remote: Counting objects: 13% (35/262)
remote: Counting objects: 14% (37/262)
remote: Counting objects: 15% (40/262)
remote: Counting objects: 16% (42/262)
remote: Counting objects: 17% (45/262)
remote: Counting objects: 18% (48/262)
remote: Counting objects: 19% (50/262)
remote: Counting objects: 20% (53/262)
remote: Counting objects: 21% (56/262)
remote: Counting objects: 22% (58/262)
remote: Counting objects: 23% (61/262)
remote: Counting objects: 24% (63/262)
remote: Counting objects: 25% (66/262)
remote: Counting objects: 26% (69/262)
remote: Counting objects: 27% (71/262)
remote: Counting objects: 28% (74/262)
remote: Counting objects: 29% (76/262)
remote: Counting objects: 30% (79/262)
remote: Counting objects: 31% (82/262)
remote: Counting objects: 32% (84/262)
remote: Counting objects: 33% (87/262)
remote: Counting objects: 34% (90/262)
remote: Counting objects: 35% (92/262)
remote: Counting objects: 36% (95/262)
remote: Counting objects: 37% (97/262)
remote: Counting objects: 38% (100/262)
remote: Counting objects: 39% (103/262)
remote: Counting objects: 40% (105/262)
remote: Counting objects: 41% (108/262)
remote: Counting objects: 42% (111/262)
remote: Counting objects: 43% (113/262)
remote: Counting objects: 44% (116/262)
remote: Counting objects: 45% (118/262)
remote: Counting objects: 46% (121/262)
remote: Counting objects: 47% (124/262)
remote: Counting objects: 48% (126/262)
remote: Counting objects: 49% (129/262)
remote: Counting objects: 50% (131/262)
remote: Counting objects: 51% (134/262)
remote: Counting objects: 52% (137/262)
remote: Counting objects: 53% (139/262)
remote: Counting objects: 54% (142/262)
remote: Counting objects: 55% (145/262)
remote: Counting objects: 56% (147/262)
remote: Counting objects: 57% (150/262)
remote: Counting objects: 58% (152/262)
remote: Counting objects: 59% (155/262)
remote: Counting objects: 60% (158/262)
remote: Counting objects: 61% (160/262)
remote: Counting objects: 62% (163/262)
remote: Counting objects: 63% (166/262)
remote: Counting objects: 64% (168/262)
remote: Counting objects: 65% (171/262)
remote: Counting objects: 66% (173/262)
remote: Counting objects: 67% (176/262)
remote: Counting objects: 68% (179/262)
remote: Counting objects: 69% (181/262)
remote: Counting objects: 70% (184/262)
remote: Counting objects: 71% (187/262)
remote: Counting objects: 72% (189/262)
remote: Counting objects: 73% (192/262)
remote: Counting objects: 74% (194/262)
remote: Counting objects: 75% (197/262)
remote: Counting objects: 76% (200/262)
remote: Counting objects: 77% (202/262)
remote: Counting objects: 78% (205/262)
remote: Counting objects: 79% (207/262)
remote: Counting objects: 80% (210/262)
remote: Counting objects: 81% (213/262)
remote: Counting objects: 82% (215/262)
remote: Counting objects: 83% (218/262)
remote: Counting objects: 84% (221/262)
remote: Counting objects: 85% (223/262)
remote: Counting objects: 86% (226/262)
remote: Counting objects: 87% (228/262)
remote: Counting objects: 88% (231/262)
remote: Counting objects: 89% (234/262)
remote: Counting objects: 90% (236/262)
remote: Counting objects: 91% (239/262)
remote: Counting objects: 92% (242/262)
remote: Counting objects: 93% (244/262)
remote: Counting objects: 94% (247/262)
remote: Counting objects: 95% (249/262)
remote: Counting objects: 96% (252/262)
remote: Counting objects: 97% (255/262)
remote: Counting objects: 98% (257/262)
remote: Counting objects: 99% (260/262)
remote: Counting objects: 100% (262/262)
remote: Counting objects: 100% (262/262), done.
17:39:09 remote: Compressing objects: 0% (1/168)
remote: Compressing objects: 1% (2/168)
remote: Compressing objects: 2% (4/168)
remote: Compressing objects: 3% (6/168)
remote: Compressing objects: 4% (7/168)
remote: Compressing objects: 5% (9/168)
remote: Compressing objects: 6% (11/168)
remote: Compressing objects: 7% (12/168)
remote: Compressing objects: 8% (14/168)
remote: Compressing objects: 9% (16/168)
remote: Compressing objects: 10% (17/168)
remote: Compressing objects: 11% (19/168)
remote: Compressing objects: 12% (21/168)
remote: Compressing objects: 13% (22/168)
remote: Compressing objects: 14% (24/168)
remote: Compressing objects: 15% (26/168)
remote: Compressing objects: 16% (27/168)
remote: Compressing objects: 17% (29/168)
remote: Compressing objects: 18% (31/168)
remote: Compressing objects: 19% (32/168)
remote: Compressing objects: 20% (34/168)
remote: Compressing objects: 21% (36/168)
remote: Compressing objects: 22% (37/168)
remote: Compressing objects: 23% (39/168)
remote: Compressing objects: 24% (41/168)
remote: Compressing objects: 25% (42/168)
remote: Compressing objects: 26% (44/168)
remote: Compressing objects: 27% (46/168)
remote: Compressing objects: 28% (48/168)
remote: Compressing objects: 29% (49/168)
remote: Compressing objects: 30% (51/168)
remote: Compressing objects: 31% (53/168)
remote: Compressing objects: 32% (54/168)
remote: Compressing objects: 33% (56/168)
remote: Compressing objects: 34% (58/168)
remote: Compressing objects: 35% (59/168)
remote: Compressing objects: 36% (61/168)
remote: Compressing objects: 37% (63/168)
remote: Compressing objects: 38% (64/168)
remote: Compressing objects: 39% (66/168)
remote: Compressing objects: 40% (68/168)
remote: Compressing objects: 41% (69/168)
remote: Compressing objects: 42% (71/168)
remote: Compressing objects: 43% (73/168)
remote: Compressing objects: 44% (74/168)
remote: Compressing objects: 45% (76/168)
remote: Compressing objects: 46% (78/168)
remote: Compressing objects: 47% (79/168)
remote: Compressing objects: 48% (81/168)
remote: Compressing objects: 49% (83/168)
remote: Compressing objects: 50% (84/168)
remote: Compressing objects: 51% (86/168)
remote: Compressing objects: 52% (88/168)
remote: Compressing objects: 53% (90/168)
remote: Compressing objects: 54% (91/168)
remote: Compressing objects: 55% (93/168)
remote: Compressing objects: 56% (95/168)
remote: Compressing objects: 57% (96/168)
remote: Compressing objects: 58% (98/168)
remote: Compressing objects: 59% (100/168)
remote: Compressing objects: 60% (101/168)
remote: Compressing objects: 61% (103/168)
remote: Compressing objects: 62% (105/168)
remote: Compressing objects: 63% (106/168)
remote: Compressing objects: 64% (108/168)
remote: Compressing objects: 65% (110/168)
remote: Compressing objects: 66% (111/168)
remote: Compressing objects: 67% (113/168)
remote: Compressing objects: 68% (115/168)
remote: Compressing objects: 69% (116/168)
remote: Compressing objects: 70% (118/168)
remote: Compressing objects: 71% (120/168)
remote: Compressing objects: 72% (121/168)
remote: Compressing objects: 73% (123/168)
remote: Compressing objects: 74% (125/168)
remote: Compressing objects: 75% (126/168)
remote: Compressing objects: 76% (128/168)
remote: Compressing objects: 77% (130/168)
remote: Compressing objects: 78% (132/168)
remote: Compressing objects: 79% (133/168)
remote: Compressing objects: 80% (135/168)
remote: Compressing objects: 81% (137/168)
remote: Compressing objects: 82% (138/168)
remote: Compressing objects: 83% (140/168)
remote: Compressing objects: 84% (142/168)
remote: Compressing objects: 85% (143/168)
remote: Compressing objects: 86% (145/168)
remote: Compressing objects: 87% (147/168)
remote: Compressing objects: 88% (148/168)
remote: Compressing objects: 89% (150/168)
remote: Compressing objects: 90% (152/168)
remote: Compressing objects: 91% (153/168)
remote: Compressing objects: 92% (155/168)
remote: Compressing objects: 93% (157/168)
remote: Compressing objects: 94% (158/168)
remote: Compressing objects: 95% (160/168)
remote: Compressing objects: 96% (162/168)
remote: Compressing objects: 97% (163/168)
remote: Compressing objects: 98% (165/168)
remote: Compressing objects: 99% (167/168)
remote: Compressing objects: 100% (168/168)
remote: Compressing objects: 100% (168/168), done.
17:39:09 Receiving objects: 0% (1/12592)
Receiving objects: 1% (126/12592)
Receiving objects: 2% (252/12592)
Receiving objects: 3% (378/12592)
Receiving objects: 4% (504/12592)
Receiving objects: 5% (630/12592)
Receiving objects: 6% (756/12592)
Receiving objects: 7% (882/12592)
Receiving objects: 8% (1008/12592)
Receiving objects: 9% (1134/12592)
Receiving objects: 10% (1260/12592)
Receiving objects: 11% (1386/12592)
Receiving objects: 12% (1512/12592)
Receiving objects: 13% (1637/12592)
Receiving objects: 14% (1763/12592)
Receiving objects: 15% (1889/12592)
Receiving objects: 16% (2015/12592)
Receiving objects: 17% (2141/12592)
Receiving objects: 18% (2267/12592)
Receiving objects: 19% (2393/12592)
Receiving objects: 20% (2519/12592)
Receiving objects: 21% (2645/12592)
Receiving objects: 22% (2771/12592)
Receiving objects: 23% (2897/12592)
Receiving objects: 24% (3023/12592)
Receiving objects: 25% (3148/12592)
Receiving objects: 26% (3274/12592)
Receiving objects: 27% (3400/12592)
Receiving objects: 28% (3526/12592)
Receiving objects: 29% (3652/12592)
Receiving objects: 30% (3778/12592)
Receiving objects: 31% (3904/12592)
Receiving objects: 32% (4030/12592)
Receiving objects: 33% (4156/12592)
Receiving objects: 34% (4282/12592)
Receiving objects: 35% (4408/12592)
Receiving objects: 36% (4534/12592)
Receiving objects: 37% (4660/12592)
Receiving objects: 38% (4785/12592)
Receiving objects: 39% (4911/12592)
Receiving objects: 40% (5037/12592)
Receiving objects: 41% (5163/12592)
Receiving objects: 42% (5289/12592)
Receiving objects: 43% (5415/12592)
Receiving objects: 44% (5541/12592)
Receiving objects: 45% (5667/12592)
Receiving objects: 46% (5793/12592)
Receiving objects: 47% (5919/12592)
Receiving objects: 48% (6045/12592)
Receiving objects: 49% (6171/12592)
Receiving objects: 50% (6296/12592)
Receiving objects: 51% (6422/12592)
Receiving objects: 52% (6548/12592)
Receiving objects: 53% (6674/12592)
Receiving objects: 54% (6800/12592)
Receiving objects: 55% (6926/12592)
Receiving objects: 56% (7052/12592)
Receiving objects: 56% (7097/12592), 52.74 MiB | 52.63 MiB/s
Receiving objects: 56% (7098/12592), 112.25 MiB | 56.01 MiB/s
Receiving objects: 56% (7100/12592), 175.87 MiB | 58.51 MiB/s
Receiving objects: 56% (7100/12592), 229.61 MiB | 57.29 MiB/s
Receiving objects: 56% (7103/12592), 285.01 MiB | 57.26 MiB/s
Receiving objects: 56% (7103/12592), 343.43 MiB | 58.25 MiB/s
Receiving objects: 56% (7103/12592), 399.31 MiB | 55.94 MiB/s
error: inflate: data stream error (incorrect data check)
17:39:09 fatal: pack has bad object at offset 298148849: inflate returned -3
17:39:09
17:39:09 at org.jenkinsci.plugins.gitclient.CliGitAPIImpl.launchCommandIn(CliGitAPIImpl.java:2736)
17:39:09 at org.jenkinsci.plugins.gitclient.CliGitAPIImpl.launchCommandWithCredentials(CliGitAPIImpl.java:2111)
17:39:09 at org.jenkinsci.plugins.gitclient.CliGitAPIImpl.access$500(CliGitAPIImpl.java:87)
17:39:09 at org.jenkinsci.plugins.gitclient.CliGitAPIImpl$1.execute(CliGitAPIImpl.java:623)
17:39:09 at org.jenkinsci.plugins.gitclient.CliGitAPIImpl$2.execute(CliGitAPIImpl.java:852)
17:39:09 at hudson.plugins.git.GitSCM.retrieveChanges(GitSCM.java:1229)
17:39:09 at hudson.plugins.git.GitSCM.checkout(GitSCM.java:1312)
17:39:09 at hudson.scm.SCM.checkout(SCM.java:540)
17:39:09 at hudson.model.AbstractProject.checkout(AbstractProject.java:1217)
17:39:09 at hudson.model.AbstractBuild$AbstractBuildExecution.defaultCheckout(AbstractBuild.java:647)
17:39:09 at jenkins.scm.SCMCheckoutStrategy.checkout(SCMCheckoutStrategy.java:85)
17:39:09 at hudson.model.AbstractBuild$AbstractBuildExecution.run(AbstractBuild.java:519)
17:39:09 at hudson.model.Run.execute(Run.java:1897)
17:39:09 at hudson.maven.MavenModuleSetBuild.run(MavenModuleSetBuild.java:543)
17:39:09 at hudson.model.ResourceController.execute(ResourceController.java:101)
17:39:09 at hudson.model.Executor.run(Executor.java:442)
17:39:09 ERROR: Error cloning remote repo 'origin'解决方案
如果是英文的找对应的英文即可
相关文章：
【Jenkins】data stream error|Error cloning remote repo ‘origin‘ 错误解决【亲测有效】
错误构建日志 17:39:09 ERROR: Error cloning remote repo origin 17:39:09 hudson.plugins.git.GitException: Command "git fetch --tags --progress http://domain/xxx.git refs/heads/*:refs/remotes/origin/*" returned status code 128: 17:39:09 stdout: 17…...
3.1_9 基本分段存储管理
文章目录 3.1_9 基本分段存储管理（一）分段（二）段表（三）地址变换（四）分段、分页管理的对比 总结 3.1_9 基本分段存储管理 （一）分段 进程的地址空间：…...
基于SpringBoot+Druid实现多数据源：baomidou多数据源
前言 本博客姊妹篇 基于SpringBootDruid实现多数据源：原生注解式基于SpringBootDruid实现多数据源：注解编程式基于SpringBootDruid实现多数据源：baomidou多数据源 一、功能描述 支持 数据源分组 ，适用于多种场景 纯粹多库 读写…...
Redis开发规范与性能优化(二)
开发规范与性能优化 3.客户端使用 1.【推荐】避免多个应用使用一个Redis示例 正例:不相干的业务拆分，公共数据库做服务化 2.【推荐】使用带有连接池的数据库，可以有效控制链接，同时提高效率，标准使用方式如代码所示 public c…...
我们是否生活在一个超大型生物的大脑之中？——对多元宇宙观与生命存在形式的哲学探讨
随着科技和哲学思辨的深入，关于人类所处宇宙的本质及我们自身存在的真实性的讨论越发引人入胜。其中一种颇具科幻色彩的观点认为，我们可能生活在某个巨大生物的大脑之中，所有的物理规律、自然现象以及我们的感知体验，都可能是这个…...
【Python数据结构与判断7/7】数据结构小结
目录 序言 整体回忆 定义方式 访问元素 访问单个元素 访问多个与元素 修改元素 添加元素 列表里添加元素 字典里添加元素 删除元素 in运算符 实战案例 总结 序言 今天将对前面学过的三种数据结构：元组（tuple）、列表（…...
探讨：MySQL和PostgreSQL谁更火
一、有人说PostgreSQL比MySQL火🔥 PostgreSQL相比于MySQL越来越受欢迎的原因可以从以下几个方面来阐述： 许可协议灵活性： PostgreSQL采用的是较为宽松的BSD许可证，允许企业在开源的基础上自由使用、修改和分发，而无需…...
hbase和es的选取 hbase与es结合
hbase和es的选取 hbase与es结合 背景介绍 HBase与ElasticSearch是现代应用在处理海量数据的技术架构会经常被使用的两款产品，其中HBase是一个分布式KV系统，具有灵活Schema、水平扩展、低成本、高并发的优势，但在复杂查询、分析能力方面相对…...
GoLang：云原生时代致力于构建高性能服务器的后端语言
Go语言的介绍 概念 Golang（也被称为Go）是一种编程语言，由Google于2007年开始设计和开发，并于2009年首次公开发布。Golang是一种静态类型、编译型的语言，旨在提供高效和可靠的软件开发体验。它具有简洁的语法、高效的编…...
高频面试必备（Java研发岗），一线互联网架构师设计思想解读开源框架
BeanFactory 和 ApplicationContext 有什么区别？ 如何用基于 XML 配置的方式配置 Spring？ 如何用基于 Java 配置的方式配置 Spring？ 请解释 Spring Bean 的生命周期？ Tomcat Tomcat 的缺省端口是多少，怎么修改&…...
React——react 的基本使用
前提：安装全局的脚手架，通过create-creat-app 项目名，我们创建好一个新项目，cd进去，通过npm start去运行该项目 注意：简单看下demo的配置，在根目录我们可以看到，没有任何webpack的…...
Unity资源热更新----AssetBundle
13.1 资源热更新——AssetBundle1-1_哔哩哔哩_bilibili Resources 性能消耗较大 Resources文件夹大小不能超过2个G 获取AssetBundle中的资源 打包流程 选择图片后点击 创建文件夹，Editor优先编译 打包文件夹位置 using UnityEditor; using UnityEngine; public cla…...
bootstrap企业网站前端模板
介绍 企业网站前端模板 软件架构 前端所用技术html/css/js/jquery 前端框架bootstrap 安装教程 浏览器本地路径访问发布到服务器比如（tomcat/nginx等）云服务器/虚拟机 网站效果图 网站预览 点击预览 源码地址 https://gitee.com/taisan/company…...
分类预测 | Matlab实现GSWOA-KELM混合策略改进的鲸鱼优化算法优化核极限学习机的数据分类预测
分类预测 | Matlab实现GSWOA-KELM混合策略改进的鲸鱼优化算法优化核极限学习机的数据分类预测 目录 分类预测 | Matlab实现GSWOA-KELM混合策略改进的鲸鱼优化算法优化核极限学习机的数据分类预测效果一览基本介绍程序设计参考资料 效果一览 基本介绍 GSWOA-KELM分类࿰…...
软考77-上午题-【面向对象技术3-设计模式】-创建型设计模式02
一、生成器模式 1-1、意图 将一个复杂对象的构建与它的表示分离，使得同样的构建过程可以创建不同的表示。 1-2、结构图 Builder 为创建一个 Product 对象的各个部件指定抽象接口。ConcreteBuilder 实现 Builder 的接口以构造和装配该产品的各个部件，定…...
微博热搜榜单采集，微博热搜榜单爬虫，微博热搜榜单解析，完整代码（话题榜+热搜榜+文娱榜和要闻榜）
文章目录 代码1. 话题榜2. 热搜榜3. 文娱榜和要闻榜 过程1. 话题榜2. 热搜榜3. 文娱榜和要闻榜 代码 1. 话题榜 import requests import pandas as pd import urllib from urllib import parse headers { authority: weibo.com, accept: application/json, text/pl…...
有趣的前端知识（三）
推荐阅读 有趣的前端知识（一） 有趣的前端知识（二） 文章目录 推荐阅读JS内置对象JS外部对象BOM模型history对象screen对象navigator对象 DOM（文档对象模型）DOM的方法（对于节点的操作）…...
How to install teams in ubuntu
Download deb file download link: https://mirrors.sdu.edu.cn/spark-store-repository/store/office/teams/ install deb sudo apt install ./teams_1.5.00.23861_amd64.deb open and login teams....
macOS14.4安装FFmpeg及编译FFmpeg源码
下载二进制及源码包 二进制 使用brew安装ffmpeg : brew install ffmpeg 成功更新到ffmpeg6.1 下载FFmpeg源码...
基于Springboot+vue+mybatis框架的建材运营管理系统的设计与实现【附项目源码】分享
基于Springbootvuemybatis框架的建材运营管理系统的设计与实现： 源码地址：https://download.csdn.net/download/weixin_43894652/88842715 一、引言 随着信息技术的快速发展，各行各业都在积极地进行数字化转型。建材行业作为传统行业之一&a…...
KubeSphere 容器平台高可用：环境搭建与可视化操作指南
Linux_k8s篇 欢迎来到Linux的世界，看笔记好好学多敲多打，每个人都是大神！ 题目：KubeSphere 容器平台高可用：环境搭建与可视化操作指南 版本号: 1.0,0 作者: 老王要学习 日期: 2025.06.05 适用环境: Ubuntu22 文档说…...
conda相比python好处
Conda 作为 Python 的环境和包管理工具，相比原生 Python 生态（如 pip 虚拟环境）有许多独特优势，尤其在多项目管理、依赖处理和跨平台兼容性等方面表现更优。以下是 Conda 的核心好处： 一、一站式环境管理：…...
JavaScript 中的 ES|QL：利用 Apache Arrow 工具
作者：来自 Elastic Jeffrey Rengifo 学习如何将 ES|QL 与 JavaScript 的 Apache Arrow 客户端工具一起使用。 想获得 Elastic 认证吗？了解下一期 Elasticsearch Engineer 培训的时间吧！ Elasticsearch 拥有众多新功能，助你为自己…...
基于ASP.NET+ SQL Server实现（Web）医院信息管理系统
医院信息管理系统 1. 课程设计内容 在 visual studio 2017 平台上，开发一个“医院信息管理系统”Web 程序。 2. 课程设计目的 综合运用 c#.net 知识，在 vs 2017 平台上，进行 ASP.NET 应用程序和简易网站的开发；初步熟悉开发一…...
ESP32 I2S音频总线学习笔记（四）： INMP441采集音频并实时播放
简介 前面两期文章我们介绍了I2S的读取和写入，一个是通过INMP441麦克风模块采集音频，一个是通过PCM5102A模块播放音频，那如果我们将两者结合起来，将麦克风采集到的音频通过PCM5102A播放，是不是就可以做一个扩音器了呢…...
Swagger和OpenApi的前世今生
Swagger与OpenAPI的关系演进是API标准化进程中的重要篇章，二者共同塑造了现代RESTful API的开发范式。 本期就扒一扒其技术演进的关键节点与核心逻辑： 🔄 一、起源与初创期：Swagger的诞生（2010-2014） 核心…...
安宝特方案丨船舶智造的“AR+AI+作业标准化管理解决方案”（装配）
船舶制造装配管理现状：装配工作依赖人工经验，装配工人凭借长期实践积累的操作技巧完成零部件组装。企业通常制定了装配作业指导书，但在实际执行中，工人对指导书的理解和遵循程度参差不齐。 船舶装配过程中的挑战与需求 挑战 (1…...
Python Ovito统计金刚石结构数量
大家好，我是小马老师。 本文介绍python ovito方法统计金刚石结构的方法。 Ovito Identify diamond structure命令可以识别和统计金刚石结构，但是无法直接输出结构的变化情况。 本文使用python调用ovito包的方法，可以持续统计各步的金刚石结构，具体代码如下： from ovito…...
Xela矩阵三轴触觉传感器的工作原理解析与应用场景
Xela矩阵三轴触觉传感器通过先进技术模拟人类触觉感知，帮助设备实现精确的力测量与位移监测。其核心功能基于磁性三维力测量与空间位移测量，能够捕捉多维触觉信息。该传感器的设计不仅提升了触觉感知的精度，还为机器人、医疗设备和制造业的智…...
在RK3588上搭建ROS1环境：创建节点与数据可视化实战指南
在RK3588上搭建ROS1环境：创建节点与数据可视化实战指南 背景介绍完整操作步骤1. 创建Docker容器环境2. 验证GUI显示功能3. 安装ROS Noetic4. 配置环境变量5. 创建ROS节点（小球运动模拟）6. 配置RVIZ默认视图7. 创建启动脚本8. 运行可视化系统效果展示与交互技术解析ROS节点通…...