[Python知识库]Jetson TX2安装教程：刷机+Tensorflow+Torch

一、刷机步骤

刷机教程可以参考博客：https://blog.csdn.net/qq_45389690/article/details/112022138

Jetson jetpack下载地址：https://developer.nvidia.com/embedded/jetpack-archive，下载NVIDIA SDK Manager

进入刷机模式：

1. 为TX2供电，并完成硬件连接
2. 按下开机键（POWER BTN），按下后马上松开
3. 长按恢复键（REC）
4. 保持按住恢复键，按一下重置键（RST）
5. 按完重置键后即可松开恢复键
6. 按下并保持recovery键==》上电==》按下reset，松开reset==》约2s后松开recovery
7. 在刷机的Ubuntu系统，输入输入lsusb，若显示nvidia crop，即连接成功。
8. 然后可以按刷机教程next了，注意：不要勾选download now.Install later

?注意：这一步需要比较恶心：

1、这一步会通过ssh连接，写入系统信息，所以需要把设备开机；

2、连上USB后UBUNTU的ip会显示192.168.55.xxx网段，Jetson的IP为192.168.55.1

3、在Jetson 模块设置用户和密码，需要注意的是Jetson模块的名称只能小写

4、输入用户名和密码，点击INSTALL。注意：只要出现这一步，一定要确保Jetson是开机的

?二、Tensorflow安装

1、如果不知道自己安装的jetpack的版本，可以安装：sudo pip3 install jetson-stats，然后输入：sudo jtop

2、Tensorflow安装

教程链接：https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-nano/71770

Python 3.6+JetPack4.5

sudo apt-get install libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg8-dev liblapack-dev libblas-dev gfortran
sudo apt-get install python3-pip
sudo pip3 install -U pip testresources setuptools==49.6.0
sudo pip3 install -U numpy==1.16.1 future==0.18.2 mock==3.0.5 h5py==2.10.0 keras_preprocessing==1.1.1 keras_applications==1.0.8 gast==0.2.2 futures protobuf pybind11
# TF-2.x
$ sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v45 tensorflow
# TF-1.15
$ sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v45 ‘tensorflow<2’

Python 3.6+JetPack4.4

sudo apt-get install libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg8-dev liblapack-dev libblas-dev gfortran
sudo apt-get install python3-pip
sudo pip3 install -U pip
sudo pip3 install -U pip testresources setuptools numpy==1.16.1 future==0.17.1 mock==3.0.5 h5py==2.9.0 keras_preprocessing==1.0.5 keras_applications==1.0.8 gast==0.2.2 futures protobuf pybind11
# TF-2.x
$ sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v44 tensorflow==2.3.1+nv20.12
# TF-1.15
$ sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v44 ‘tensorflow<2’

Python3.6+JetPack4.3

$ sudo apt-get install libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg8-dev
$ sudo apt-get install python3-pip
$ sudo pip3 install -U pip
$ sudo pip3 install -U numpy grpcio absl-py py-cpuinfo psutil portpicker six mock requests gast h5py astor termcolor protobuf keras-applications keras-preprocessing wrapt google-pasta
# TF-2.x
$ sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v43 tensorflow==2.1.0+nv20.3
# TF-1.15
$ sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compu

三、torch安装

下载地址：https://forums.developer.nvidia.com/t/pytorch-for-jetson-version-1-9-0-now-available/72048

下载完成后直接安装即可。

执行torch是可能会报错：OSError: libmpi_cxx.so.20: cannot open shared object file: No such file or directory

出现这个问题可能刷的torch版本有点高，可以重新刷一个低版本试试。

解决方案：参考博客https://blog.csdn.net/u013171226/article/details/107711831
1、登入??https://pkgs.org/网站，在右上角的搜索框中输入libmpi_cxx.so.20，然后下载libopenmpi2_2.1.1-8_arm64.deb。每个包的下载地址如下：

2、?libopenmpi2_2.1.1-8_arm64.deb安装：dpkg -i?libopenmpi2_2.1.1-8_arm64.deb

3、安装过程会缺库：

根据缺的库进行apt-get?安装

3、torchvision安装

在地址：https://forums.developer.nvidia.com/t/pytorch-for-jetson-version-1-9-0-now-available/72048

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