rsrc VS pigo

One problem is, on Windows, this is impossible without bundling your application with a compiled manifest (I use github.com/akavel/rsrc. It's a horrible state of affairs brought about by backwards compatibility, but without it when you ask for a version, you'll get Windows 8 no matter what.

https://github.com/akavel/rsrc/ - could take some support for version info - it's probably currently the most requested feature in it; as to UX my preference would be for passing it via JSON; some basic barebones tests would also be good, I mean to roughly verify that the version actually gets added successfully, via some powershell/vbscript script or something;

When embed data to Go binary, need to prepare syso file. There is a tool called rsrc that will generate syso file for embedding in the rsrc section, so let's use that.

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.