pigo VS podman

Then I saw this library https://github.com/esimov/pigo but as far as I know, this library only detects if an image has face in it, but cannot really classify the face. CMIIW.

The task consists of porting a small portion of the PIGO face detection GO library (https://github.com/esimov/pigo/commit/29b25278c3e3436416440404b95cd3c18e145b3b) especially the face landmarks extraction section to WebAssembly/JavaScript or plain C depending of the programming language your are proficient with.

I tried https://github.com/ageitgey/face_recognition and https://github.com/esimov/pigo so far and they both work OK, but from there, you would need to add EXIF tags into your pictures, so they can be picked up by img-DB.

I'll use this post / opportunity to ask the HN community

(I know this is a technically complicated, and potentially sensitive subject)

I've been approached by a few people who are trying to make prescription glasses less expensive. It's a mix of (licensed) opticians, people interested in offering community health services, etc.

What is the current state of the art for PD measurement based on face / pupil tracking / detection using laptop webcams or mobile (front) cameras?

I imagine (obviously?) that there must be scholar research on the acceptable error margins for a PD measurement (depending on the type of vision condition, i.e. farsightedness, etc.)?

Would using something like Handsfree or https://github.com/esimov/pigo (which has pupil detection) be a good start, or would these be an ~order of magnitude off in terms of the necessary margins?

Thanks a lot.

A lot of well-known Docker alternatives emerged at this point, the most commonly recommended of which must be Podman (along with Podman Desktop). This is what I use on my Windows machines, and this was the first solution that I tried on the Macbook as well.

Example of why: https://github.com/containers/podman/issues/5102#issuecommen...

Podman

Even though we will focus on Docker for this article, I wanted to mention that there are more container creation and management tools such as Podman, Rkt, and so on.

By using containerization, the application will always have the same configuration that is used in the development environment and production environment. There is no more "It works on my machine". Some examples of containerization technologies are Docker and Podman.

Podman Documentation. Podman is a daemonless container engine for developing, managing, and running OCI Containers on your Linux System.

AFAIK podman either already supports pods in quadlet container files, or will in the near future. https://github.com/containers/podman/pull/20762

Podman as a devcontainers engine doesn't currently work if you use devcontainer features [1] or (and this sounds like you're issue) if you use WSL2.

I haven't submitted the WSL2 issue to the Podman team yet. If you get to it before I do, can you like it here?

https://github.com/containers/podman/issues/18691#issuecomme...

You can also use their Oracle Linux Docker images with the database preinstalled using either Podman or Docker. Just make absolutely sure you are downloading something you are licensed to use, because it seems really easy to accidentally infringe copyright via this method.