xavier系统架构讲解:
Xaiver是arm64平台,与x86平台pc机构完全不通用的
Xavier接口 介绍:
https://blog.csdn.net/enlaihe/article/details/119751074?utm_medium=distribute.pc_relevant.none-task-blog-2~default~baidujs_utm_term~default-1-119751074-blog-128470399.235^v35^pc_relevant_increate_t0_download_v2&spm=1001.2101.3001.4242.1&utm_relevant_index=4
在docker镜像的选择上,一般推荐使用l4t的镜像。
L4T是Linux for Tegra的缩写,因为jetson系列用的是Tegra架构,因此L4T可以理解为jetson定制的Linux操作系统,具体的来说就是ubuntu定制款。
解释:https://blog.csdn.net/huiyuanliyan/article/details/92801541
xavier在按照正常流程安装好Jetpack就已经安装好nvidia-docker,无须重复安装,可通过:nvidia-docker --version查看其版本。
cudnn setting:
problem: Xavier虽然安装了cuDNN,但没有将对应的头文件、库文件放到cuda目录。
https://blog.csdn.net/weixin_42622181/article/details/107662855
风扇设置:
https://blog.csdn.net/weixin_44312422/article/details/125600273
新增SSD内存卡设置 :
https://blog.csdn.net/rorypeck/article/details/122632626
chineses pinyin setting:
https://blog.csdn.net/cxhmike/article/details/108471005
ssh基础设置:
https://blog.csdn.net/m0_53864737/article/details/129784329
初次使用nvidia-docker需要设置源加速:
https://blog.csdn.net/qq_43616898/article/details/104174923?utm_medium=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-1.edu_weight&depth_1-utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-1.edu_weight
一键安装ROS
https://blog.csdn.net/qq_27865227/article/details/120191557?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522168386343016800217235584%2522%252C%2522scm%2522%253A%252220140713.130102334..%2522%257D&request_id=168386343016800217235584&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~all~top_positive~default-1-120191557-null-null.142^v87^control_2,239^v2^insert_chatgpt&utm_term=%E9%B1%BC%E9%A6%99ros%E4%B8%80%E9%94%AE%E5%AE%89%E8%A3%85&spm=1018.2226.3001.4187
autoware.ai docker安装: git clone https://github.com/Autoware-AI/docker.git
https://blog.csdn.net/li4692625/article/details/123026800
Xavier连接CAN:
官方教程说明:https://elinux.org/Jetson/AGX_Xavier_CAN
CSDN说明: https://blog.csdn.net/weifengdq/article/details/103093111?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522168387149216800226539858%2522%252C%2522scm%2522%253A%252220140713.130102334.pc%255Fall.%2522%257D&request_id=168387149216800226539858&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~all~first_rank_ecpm_v1~rank_v31_ecpm-1-103093111-null-null.142^v87^control_2,239^v2^insert_chatgpt&utm_term=%E5%9C%A8xavier%E6%80%8E%E4%B9%88%E8%BF%9E%E6%8E%A5can&spm=1018.2226.3001.4187
国外技术大神can设置及连接:
https://medium.com/@ramin.nabati/enabling-can-on-nvidia-jetson-xavier-developer-kit-aaaa3c4d99c9
29 can——din
31 can——dout
Xavier GPIO口设置:
https://blog.csdn.net/qq_30150579/article/details/128470399
torch、vision安装:
Jetson Xavier NX(2)创建虚拟环境以及安装 torch、torchvision_Nysun11的博客-CSDN博客
使用过程问题:
1. 运行python程序,报错:Illegal instruction (core dumped)、
solution:
Ubuntu/Jetson Nano问题解决“Illegal instruction(core dumped)”_LYiiiiiii的博客-CSDN博客困扰我好多天的问题终于解决了!!!!!之前还好好运行的程序不知道为什么忽然几乎所有运行程序开始报错“Illegal instruction(core dumped)”也就是非法指令,核心已转储。最开始我还以为是因为Jetson使用的是TF卡,又经常进行读取写入操作而导致整个系统的崩溃,毕竟大部分运行文件都没有办法进行运行。所以。。。。。。。。。。。。我对整个系统进行了重新的写入,浪费了我好几天的时间。结果,没想到的是,在对整个系统进行过重装之后,相同的问题再次出现。当时我的内心https://blog.csdn.net/LYiiiiiii/article/details/119133826
问题2:无法使用cuda! cuda.is_avalable() false