imaginary
pigo
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imaginary
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Announcing Nextcloud Hub 3 – Brand New Design and Photos 2.0 with Editor and AI
One thing I didn't mention that AIO includes is a container called imaginary which is written in Go and processes images. I think this is mainly used here for generating image previews in NC.
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Imagor 0.8.5: fast image processing server - now with animated GIF resize, crop, watermark and more
Thanks. This is new to me. How is it different from https://github.com/h2non/imaginary?
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Imagor is a fast, Docker-ready image processing server written in Go
There is also battle-tested imaginary tool [1], offering similar functionality and much more, also using libvips
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
What are some alternatives?
imagick - Go binding to ImageMagick's MagickWand C API
resize - Pure golang image resizing
go-gd - Go bingings for GD (http://www.boutell.com/gd/)
imaging - Imaging is a simple image processing package for Go
gocv - Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.
bimg - Go package for fast high-level image processing powered by libvips C library
Primitive Pictures - Reproducing images with geometric primitives.
thumbor - The quickest way to run thumbor.
bild - Image processing algorithms in pure Go
smartcrop - smartcrop finds good image crops for arbitrary crop sizes
gg - Go Graphics - 2D rendering in Go with a simple API.
go-opencv - Go bindings for OpenCV / 2.x API in gocv / 1.x API in opencv