The document discusses the benefits of adopting AI with Docker containers, highlighting that about 94% of AI users plan to use containers within a year. It introduces OpenDataCam, an open-source solution for quantifying moving objects through live video analysis, which runs on Docker containers with GPU support. Additionally, it details the infrastructure setup required to use OpenDataCam, specifically on NVIDIA hardware and Docker 19.03.

1. Quantifying Your World with AI & Docker
on the Edge

2. - Blogger @ Collabnix
- Docker Captain
- DevRel at Redis Labs
- Docker Community Leader
- ARM Innovator
- Tip of Captain’s Hat Award Winner
- {code} Catalyst by Dell EMC
- Worked in Dell, VMware & CGI
$whoami
@ajeetsraina
www.collabnix.com

3. - Benefits of Containers for AI Adopters
- AI on IoT
- Introducing OpenDatacam
- GPU Support under Docker 19.03
- Demo on Deep Learning Implementation
Agenda

4. AI + Docker + IoT

5. Benefits of Containers for AI Adopters

6. Around 94% of AI Adopters are using or plan to
use containers within 1 year time.
Source: 451 Research

7. AI + Docker + IoT

10. NVIDIA Jetson Nano
2GB
New
Launch

11. When AI, Docker
& IoT Come
Together

12. Introducing OpenDatacam

13. - 100% Open Source solution
- Quantifies and tracks moving objects with Live Video Analysis
- Runs on Linux and CUDA GPU enabled hardware
- Runs completely on Docker Containers as well as support K3s.
What is OpenDatacam?

14. ● Nvidia Jetson Nano / Xavier NX / Xavier or any GNU/Linux x86_64 machine
with a CUDA compatible GPU (Nvidia)
● Webcam Logitech C222, C270, C310, C920 / Raspberry Pi cam for Jetson
nano / a Video file / IP camera
● A smartphone / tablet / laptop that you will use to operate the system
Infrastructure Setup

15. - Introduced for the first time in Docker 19.03
- Support for Docker Compose ( Workaround)
- Need to install NVIDIA Container Toolkit
- The nvidia-container-runtime is only available for Linux
$ docker run --gpus all --rm nvidia/cuda nvidia-smi
GPU support under Docker 19.03

16. Running Opendatacam on Nano
Build on Open Source
● Open the daemon.json ( /etc/docker/daemon.json)
{
"runtimes": {
"nvidia": {
"path": "/usr/bin/nvidia-container-runtime",
"runtimeArgs": []
}
}
}
● Restart docker
$ systemctl restart docker
You also need to install nvidia-container-runtime
$ sudo apt install nvidia-container-runtime
$ wget -N
https://raw.githubusercontent.com/opendatacam
/opendatacam/v2.1.0/docker/install-opendataca
m.sh
$ chmod 777 install-opendatacam.sh
$./install-opendatacam.sh --platform nano

17. It’s Demo Time

18. - https://github.com/opendatacam/opendatacam
- https://collabnix.com/object-detection-with-yolo-using-docker-
19-03-on-nvidia-jetson-nano/
Reference

19. Thank YOu