pigo
go-opencv
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| pigo | go-opencv | |
|---|---|---|
| 7 | - | |
| 4,290 | 1,313 | |
| - | 0.0% | |
| 1.4 | 0.0 | |
| 6 months ago | about 1 year ago | |
| Go | Go | |
| MIT License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pigo
- [Question] - Any library that's similar to human js in terms of functionalities?
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Face classifier/detection library for Go?
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.
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[HIRING] Port a GO library to JavaScript/WebAssembly or plain C
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.
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suggestion on an image management/image regconition software
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'm looking for a Go computer vision package that isn't GoCV.
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Handsfree.js – integrate face, hand, and/or pose tracking to front end projects
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.
- Looking for an interesting project to contribute
go-opencv
We haven't tracked posts mentioning go-opencv yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
go-gd - Go bingings for GD (http://www.boutell.com/gd/)
gocv - Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.
go-cairo - Go binding for the cairo graphics library
gg - Go Graphics - 2D rendering in Go with a simple API.
go-nude - Nudity detection with Go.
tga
imaginary - Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing
Angular 2 Image Gallery - Image Gallery built with Angular 17+, node.js and GraphicsMagick
picfit - An image resizing server written in Go