Error Trying To Reinstall

Describe the bug Before the upgrade to 1.1.0 everything worked fine. When I did the upgrade, I received a error starting it could not be downloaded. Reboots had no effect. I uninstalled it all together and now when I try and do an install again I get

Get "https://registry-1.docker.io/v2/": net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)

To Reproduce Steps to reproduce the behavior:

Unsure, try and upgrade and the uninstall and reinstall

Expected behavior Normal upgrade

Screenshots If applicable, add screenshots to help explain your problem.

Desktop (please complete the following information):

Mainly the iOS app on iOS 16

Additional context Add any other context about the problem here.

[LordNex]

Jetson Nano is run on ARM CPU, and compiling CompreFace for ARM is a big challenge. And then running it with Jetson Nano GPU support will be an even bigger challenge.

I think adding Google Coral support is easier as soon as it is used on x86 machine.

Regarding manually pulling images, you can pull single image:

docker pull exadel/compreface:1.1.0

or if you use mobilenet

docker pull exadel/compreface:1.1.0-mobilenet

What is the end goal of running CompreFace on GPU or TPU?

I mean, I understand that it will improve the recognition speed.

What recognition rate do you have now, and what do you want to achieve?

My over all goal is to have all of my cameras tied to an NVR like Frigate, then be able to detect people and faces and send them for recognition. I would also like to use a program like PhotoPrism to be and to scan my person database of files and attach metadata of faces recognized. This it already does but there is not integration between it and Frigate or DoubleTake/CompreFace. And ultimately be able to input a url or other list of images such as the sex offenders list or the Department of Justice and other public photo databases to be able to pull and recognize who is in the image and any pertinent data regarding them. That way you true know who is at the door, regardless of attire or other outfits, before you open it

Now I have the hardware to accomplish this, it’s more of a matter of programming experience that I lack. I’ve been hacking things together since 1988 and don’t plan on stopping anytime soon.

And don’t open my bedroom door or a bunch of plastic ninja swords WILL attack 😃

[LordNex]

I somewhat resolved the issues I was having. See https://github.com/home-assistant/core/issues/81433 for more info.

Im still toying with what would be better, going all in with Frigate and CompreFace on the 4gig Nano using the Coral USB TPU for object detection. And then the GPU for transcoding and facial recognition. Or stay utilizing the Dell PowerEdge R620 40 core and throw the Nano in with it.

I have a spare Nano, it just happens to be in a case that makes it a PITA to get the SD Card out. I also have a new RPi4B+ 8gig that’s free.

From there I’ll have to start with the Jetson Nano SDK image from Nvidia and see if I can figure out the process. I don’t consider my self anywhere near a programmer but I have decades of IT exp. So I’m trying to really figure out how to write a python program and get it to run. But ever dam tutorial wants to teach you about loops and functions. I get all that.

But where do I put what?

How do I name things so that I can call them later?

How does the programming structure work in a file system structure?

If I build all the files and put them in the right folders what should I do then to properly compile and bug test the app?

Again, it’s probably more me than anything else. But thanks for any help guys!