32/64 bit OS and processor: 64-bit, 3.1 Ghz Intel Core i5
Install method: MacOSX executable installer
I’m trying out balena for the jetson nano and just following your steps on “Getting Started” but I can’t seem to hit a roadblock when configuring the base image:
Unsupported filesystem when sudo balena local configure ~/Downloads/balena.img
Expected:
$ sudo balena local configure ~/Downloads/balena.img
? Network SSID I_Love_Unicorns
? Network Key superSecretPassword
? Do you want to set advanced settings? Yes
? Device Hostname mydevice
? Do you want to enable persistent logging? no
Done!
Outcome:
Unsupported filesystem.
Additional information may be available by setting a DEBUG=1 environment
variable: "set DEBUG=1" on a Windows command prompt, "$env:DEBUG = 1" on
powershell, or "export DEBUG=1" on Linux or macOS.
If you need help, don't hesitate in contacting our support forums at
https://forums.balena.io
For CLI bug reports or feature requests, have a look at the GitHub issues or
create a new one at: https://github.com/balena-io/balena-cli/issues/
Setting DEBUG=1 via export DEBUG=1 did not reveal any more verbose error logs.
Hi there, thanks for reaching out. I can confirm that I am getting the same error when downloading the OS image from https://www.balena.io/os/#download and try to configure it. We will look into this and get back to you. In the meantime, is there a reason you are not using balenaCloud? You can download a pre-configured image from the dashboard which will mitigate the current issue you are seeing with the CLI.
I’m afraid I have some bad news, the jetson nano is currently not supported to be configured like this, because it requires a very specific partition layout. We do however have a plan to make this work and I’ve attached this thread to our internal issue for this, so we can update this thread once it is fixed.
I mean, I virtually just heard of the balena ecosystem and was looking to see if I could get something going. Didn’t expect to hit a roadblock while following “Getting started” documentation: https://www.balena.io/os/docs/jetson-nano/getting-started/
This was the post that caught my eye:
I am currently working on a Dockerfile that I can use as a base image for a balena-based Python project using the Jetson Nano board. The image should support TensorRT so that we can do hardware-accelerated AI inference at the edge. The latest Dockerfile can be found here: https://gitlab.com/p.d.boef/tensorrt-balena/blob/master/Dockerfile.tensorrt. Instructions to build the image can be found in the root of this repository. I am sharing this Dockerfile because I think it may be useful for other …
I’ll try out balenaCloud, although I’m now not quite sure how everything comes together