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esimov
pigo
Go2018–2021
esimov / pigo

pigo

Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.

5Distinct people
5Mentions
0Explicit recommenders
4.7KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year5 dated mentions

Observed mentions: 2018-06-06 04:44:04 UTC to 2021-06-05 20:05:20 UTC.

0122018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 2 mentions; 2 submissions, 0 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC220
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC110
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC110
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC101

What Hacker News says

5 sources
I'll use this post / opportunity to ask the HN community (I understand that this is a technically complicated, and potentially sensitive subject) I've been approached by a few people who are doing what they can to lower the cost of prescription glasses. It's a mix of (licensed) ophthalmologists, people interested in offering community health services, etc. What is the current state of the art for pupillary distance (PD) measurement based on face detection / pupil tracking 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.js or https://github.com/esimov/pigo (which has pupil detection) be a good start, or would these be an ~
Read the rest
order of magnitude off in terms of the necessary margins? Thanks a lot.
In Handsfree.js – integrate face, hand, and/or pose tracking to front end projects

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