Windows 10 + ROS kinetic with docker + Deep learning Nvidia

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Hi,

I'm using ROS Kinetic with docker under Ubuntu 16.04, and nvidia-docker as well to use gpu.

Under windows 10, I know that a beta version of ROS 2 is working. But ROS 2 needs some improvements in tools for us to use it, so we want to use ROS 1.

We are able to run under windows 10 a docker with ROS Kinetic in it (I didn't test it, but it seems to work and you can add a X11 server to get graphics). But there is no nvidia-docker in Windows 10, and it's not planned by Nvidia.

Currently we work under Ubuntu, we communicate to the robot through a serial communication and we take images from cameras in ROS topics ?

My questions are these ones: if I use the deep learning part directly under windows 10, is-it easy to communicate with ROS under docker ? The computer will be directly on a robot, so does using such a configuration will be disadvantageous ?

Hope that my question is not completely silly but I need to explore this solution because some people in our team prefer using windows.

Thanks for reply

Edit: Hi gvdhoorn,

Thanks for your reply.

You're right. It's needed to know what is the bandwidth needed. Basically, we need to get from ROS 2 color images (right+left) at 2K/30Hz, using 2 USB3.0 links.

But after thinking about your question, the biggest problem I have is how to capture images in docker under windows from USB3.0 and how to communicate from docker to a COM ports. And if this is possible, what are the performances.

Maybe these questions are more docker and windows related than ROS, even if I want to use ROS in a docker. But if someone has some ideas, it will be great for me !

Have a nice day.

Update: maybe I found the answer: it seems not possible to communicate with USB directly from a docker container under windows 10. One work-around is to use USBIP, but you will have delays ( https://forums.docker.com/t/docker-fo... ). This answer was made in 2017, so maybe some progress has be done about this since then.