gocv
pigo


gocv | pigo | |
---|---|---|
14 | 7 | |
6,869 | 4,447 | |
1.1% | 0.4% | |
8.9 | 3.2 | |
6 days ago | 6 months ago | |
Go | Go | |
GNU General Public License v3.0 or later | MIT 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.
gocv
- Cylon: JavaScript framework for robotics, drones, and the Internet of Things
-
GoCV 0.36 has just been released, no fooling
- Updated Docker images with OpenCV
https://github.com/hybridgroup/gocv/releases/tag/v0.36.0
-
How can I install gocv?
- Installing from source gives me E: Unable to locate package libdc1394-22-dev
-
Using GoCV to extract snapshots from IP-camera videostream
Can anyone guess if its possible to e.g. use - https://github.com/hybridgroup/gocv - permanently monitor the network stream via address e.g. http://192.169.178.20/action/stream?subject=mjpeg&user=user&pwd=secret - Generate/Extract a snapshot as image if configured items are detected e.g.: humans, cats, cars, dogs
-
Can I build projects in Go without knowing front-end/client development?
But if you want to have something to show: I've played around with https://gocv.io/ and was quite impressed what this library can do with the video input from your camera input.
-
Is the opencv4 binding more efficient than python?
I have just found the gocv package. I have a video analyzer program written in python, however im thinking about rewriting on golang for optimizing the execution time. Its a good idea or its better to just use the phyton one.
-
Image manipulation with Go
https://github.com/hybridgroup/gocv has openCV bindings.
-
GoCV on the yolo Darknet model
I am working on a custom model, I have been through this example to apply it on my use case but the output I get has random detection from perform detection, how do I work with gocv.Mat structure and is there any example with yolo darknet model? Any help is appreciated if you can direct me to right resources where I can better understand how the output mat is to be parsed to get the box! Thanks in advance!
-
Anyone interested in helping me build a object detection with Tensorflow + Golang
I think https://github.com/hybridgroup/gocv accepts tensorflow model format, why not use that?
- Recommendations for building a reverse image search engine
pigo
- [Question] - Any library that's similar to human js in terms of functionalities?
-
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.
-
[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.
-
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.
-
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?
go-opencv - Go bindings for OpenCV / 2.x API in gocv / 1.x API in opencv
resize - Pure golang image resizing
imaginary - Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing
govips - A lightning fast image processing and resizing library for Go
go-gd - Go bingings for GD (http://www.boutell.com/gd/)
imaging - Imaging is a simple image processing package for Go
Angular 2 Image Gallery - Image Gallery built with Angular 18+, node.js and GraphicsMagick
smartcrop - smartcrop finds good image crops for arbitrary crop sizes
gg - Go Graphics - 2D rendering in Go with a simple API.
bimg - Go package for fast high-level image processing powered by libvips C library
pt - A path tracer written in Go.

