Docker container and test

一、開始體驗Nvidia的魅力吧

Two Days to a Demo

從Hello AI World開始吧，下面是github的連結

https://github.com/dusty-nv/jetson-inference

先登入Jetson Nano Kit，這裡使用putty登入，當然您也可以在本機端登入直接使用，相關教學可以在Cavedu找到，所以就不多做說明。

開始吧

下載 Docker Container https://github.com/dusty-nv/jetson-inference/blob/master/docs/aux-docker.md

執行之前，有兩種方式開始個專案(jetson-inference project)

Getting the Project

There are two ways to use the jetson-inference project:

Run the pre-built Docker Container
Build the Project from Source

我自己是使用預先建立好的Docker當模擬器

根據自己的JetPack下載對應的 dustynv/jetson-inference:r32.4.4 ，我的是4.4.1版，所以就直接下載了

These containers use the l4t-pytorch base container, so support for transfer learning / re-training is already included.

因為我很懶，所以我應該是直接就使用Docker了，我直接在使用Downloading Models Tool下載模型就好，也不需要再下載PyTorch。

當然如果要自己build一個環境也可以，可以參考以下文章：https://github.com/dusty-nv/jetson-inference/blob/master/docs/building-repo-2.md

Launching the Container

$ git clone --recursive https://github.com/dusty-nv/jetson-inference

這一行是把jetson-inference從github下載下來

$ cd jetson-inference

切換到jetson-inference目錄

$ docker/run.sh

執行docker container

allena@allena-desktop:~/jetson-inference$ docker/run.sh 執行docker

以下是執行的說明...

reading L4T version from /etc/nv_tegra_release

L4T BSP Version: L4T R32.4.4

[sudo] password for allena:

size of data/networks: 592333967 bytes

CONTAINER: dustynv/jetson-inference:r32.4.4 容器版本說明

以下是說明自動被mount進入docker 的目錄

DATA_VOLUME: --volume /home/allena/jetson-inference/data:/jetson-inference/data --volume /home/allena/jetson-inference/python/training/classification/data:/jetson-inference/python/training/classification/data --volume /home/allena/jetson-inference/python/training/classification/models:/jetson-inference/python/training/classification/models --volume /home/allena/jetson-inference/python/training/detection/ssd/data:/jetson-inference/python/training/detection/ssd/data --volume /home/allena/jetson-inference/python/training/detection/ssd/models:/jetson-inference/python/training/detection/ssd/models

USER_VOLUME:

USER_COMMAND:

V4L2_DEVICES: --device /dev/video0 這個是我的USB羅技鏡頭

xhost: unable to open display ""

root@allena-desktop:/jetson-inference#

root@allena-desktop:/jetson-inference# ls 檢視目錄

CMakeLists.txt build calibration docs plugins tools 藍色的是目錄

CMakePreBuild.sh c data examples python utils

至於要自己mount目錄就太靠北了，我覺得這件事就....算了，可以自行參閱網頁說明

https://github.com/dusty-nv/jetson-inference/blob/master/docs/aux-docker.md