jetson nano入坑记录之安装jetPack

参考官方文档：https://docs.nvidia.com/sdk-manager/install-with-sdkm-jetson/index.html

按照官网说明下载的安装包结果很糟心显示软件包体系架构(amd64)与本机系统体系结构(arm64)不符
 

无可奈何看了一下英文文档：里面说有lian两种方法安装   一个是使用nano下载好的镜像    下载安装   同时有很多条件需要满足

zha粘贴一段

 

 

• Use NVIDIA SDK Manager.
You must have a Linux host computer with a working Internet connection to run
SDK Manager and flash the developer kit. Supported host operating systems are:
• Ubuntu Linux x64 Version 18.04 or 16.04
Follow these instructions to download and install NVIDIA SDK Manager.
Note Use of SDK Manager to install JetPack requires that:
• The developer kit be in Force Recovery mode.
• The developer kit not be powered by a Micro-USB power supply.
The Micro-USB port is needed to flash and update the developer kit.
Before using SDK Manager, follow these steps to power your developer kit and put it
into Force Recovery mode:
1. Jumper the Force Recovery pins (3 and 4) on J40 button header
2. Jumper the J48 Power Select Header pins and connect a power supply to J25 power
jack. The developer kit automatically powers on in Force Recovery mode.
3. Remove the Force Recovery pins’ jumper when the developer kit powers on.
Now use SDK Manager to flash your developer kit with the OS image and install other
Jetpack components. SDK Manager can also set up your Linux host computer
development environment. For full instructions, see the SDK Manager documentation.

 

 

有道翻译过来就是

 

•使用NVIDIA SDK管理器。
您必须有一台Linux主机计算机，它具有可以运行的Internet连接
SDK管理器和flash的开发工具包。支持的主机操作系统有:
•Ubuntu Linux x64版本18.04或16.04
按照这些说明下载和安装NVIDIA SDK管理器。
注:使用SDK Manager安装JetPack需要:
•开发工具包处于强制恢复模式。
•开发工具包不是由一个微型usb电源供电。
需要Micro-USB端口来flash和更新开发工具包。
在使用SDK Manager之前，遵循以下步骤来增强您的开发工具包并将其放置
进入力恢复模式:
1. 将力量恢复引脚(3和4)套在J40按钮头上
2. 跳接J48电源选择头引脚并将电源连接到J25电源
杰克。开发工具包在强制恢复模式下自动启动。
3.当开发工具包启动时，移除力恢复引脚的跳线。
现在使用SDK Manager将您的开发工具包与OS映像一起显示并安装other
Jetpack组件。SDK管理器还可以设置您的Linux主机
开发环境。有关详细说明，请参阅SDK管理器文档。
 

 

这么一堆   看到这里我还是果断找一找系统自带的吧

大概需要的有CUDA、CuDnn、opencv、等等的吧   

TensorRT    /usr/src/tensorrt/samples/
CUDA    /usr/local/cuda-/samples/
cuDNN   /usr/src/cudnn_samples_v7/
Multimedia API  /usr/src/tegra_multimedia_api/
VisionWorks /usr/share/visionworks/sources/samples/ /usr/share/visionworks-tracking/sources/samples/ /usr/share/visionworks-sfm/sources/samples/
OpenCV  /usr/share/OpenCV/samples/

在系统的这些位置里。逐一测试就好了

测试这里请参考https://www.jianshu.com/p/1fac6cdedd0d就好了

主要说一下opencv的这个，就这个测试没成功

打开文件目录看一下  原来改成了opencv4

把命令更改成 

 pkg-config opencv4 --modversion

即可正常显示了