AI-IOT Parking Application on Xavier

Hi,

I’m trying to get a feel for DeepStream and came across the parking application GitHub - NVIDIA-AI-IOT/deepstream_360_d_smart_parking_application: Describes the full end to end smart parking application that is available with DeepStream 5.0

When I try to start the analytics server docker however, I get this error with docker:

Building logstash
Step 1/4 : FROM docker.elastic.co/logstash/logstash-oss:6.4.0
 ---> 15e297c65be6
Step 2/4 : RUN logstash-plugin install logstash-filter-json logstash-output-kafka
 ---> Running in 8c4a6be616f8
standard_init_linux.go:207: exec user process caused "exec format error"
ERROR: Service 'logstash' failed to build: The command '/bin/sh -c logstash-plugin install logstash-filter-json logstash-output-kafka' returned a non-zero code: 1

It seems that this might be due to a mismatch in architecture, but I have been unable to find how to resolve that error. Is it possible to run this on the Xavier, and if so, how would I go about installing the proper containers?

I had to install docker-compose with pip because the curl method wasn’t working - I was getting

/usr/local/bin/docker-compose: line 1: {error:Not Found}: command not found

Thank you!

Hi,
The application is for Tesla, not Xavier.
[url]https://devtalk.nvidia.com/default/topic/1044610/deepstream-for-tesla/-nvidia-deepstream-sdk-3-0-for-tesla-now-available/[/url]

Hi

I came across this post and have a question because the link mentioned by moderator is broken now. The application have two parts:

1: Can we still build/deploy inception server on Jetson e.g. Jetson Xavier NX?

2: Analytical server (i.e. analytics_server_docker) is bulky and would need to go on Tesla or maybe V100 (the kind of the GPUs in data center)? Alternatively if I don’t have access to Tesla or V100 then would I be able to use the code with one of the cloud server provider?

Like the poster of the original question, I have recently bought jetson xavier nx and wanted to get the feel of a bit larger application? Thank you.