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https://github.com/hellonico/origami

Lowest barrier of entry to Image Processing, Computer Vision and Neural Networks on the JavaVM
https://github.com/hellonico/origami

clojure computer-vision deep-learning dnn java kotlin opencv yolov8

Last synced: about 19 hours ago
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Lowest barrier of entry to Image Processing, Computer Vision and Neural Networks on the JavaVM

Host: GitHub
URL: https://github.com/hellonico/origami
Owner: hellonico
License: epl-1.0
Created: 2017-11-15T04:51:07.000Z (almost 7 years ago)
Default Branch: master
Last Pushed: 2024-05-29T06:33:59.000Z (4 months ago)
Last Synced: 2024-05-29T12:37:47.664Z (4 months ago)
Topics: clojure, computer-vision, deep-learning, dnn, java, kotlin, opencv, yolov8
Language: Clojure
Homepage: https://hellonico.github.io/origami-docs/#/
Size: 3.48 MB
Stars: 114
Watchers: 7
Forks: 6
Open Issues: 5
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

        Origami Project Goals

- Lowest barrier of entry to Image Processing, Computer Vision and Neural Networks on the JVM

  - by using OpenCV (and when possible Clojure)

- Works out of the box on your device (OSX, Windows, Linux, Raspberry, Jetson ..) and in your language (Clojure, Java, Kotlin, Scala, Binary via Google's Bazel)

![Clojars Project](https://clojars.org/origami/latest-version.svg)

![image](https://circleci.com/gh/hellonico/origami.svg?style=svg)

![github](https://github.com/hellonico/origami/actions/workflows/clojure.yml/badge.svg)

# AT A GLANCE

- Full support for [OpenCV 4.9.0](https://github.com/opencv/opencv/wiki/ChangeLog#version490) 

  - [CircleCI Passing](https://app.circleci.com/pipelines/github/hellonico/origami)

  - [Cuda Enabled NVidia Support](https://developer.nvidia.com/embedded/jetson-nano-developer-kit) included

  - [Architecture support matrix](http://origamidocs.hellonico.info/#/units/compatibility?id=origami-470-compatibility-matrix)

- On-going support for [Yolo v6](https://github.com/meituan/YOLOv6) 

-   Origami Docs

- [codox](https://github.com/weavejester/codox) generated API is [here](http://origamidocs.hellonico.info/codox/index.html)

- Ready to use jupyter, [clojure notebooks](https://github.com/hellonico/origami-fun/tree/master/jupyter), [java notebooks](https://github.com/hellonico/opencv4_java_tutorial/tree/master/jupyter)

- Deep Neural Networks with [origami-dnn](https://github.com/hellonico/origami-dnn)

- Run on [AWS Lambdas](https://github.com/hellonico/origami-aws-lambdas)

- Real-time Streaming Server [App](https://github.com/hellonico/opencv-live-video-stream-over-http) 

- With [origami-sources](https://github.com/hellonico/origami-sources/)

  - use various sources (folders, zip files, dropbox, webcam, flickr etc..) to lazily load OpenCV Mat objects

  - use various handlers (You Tube, HTTPS etc...) to load VideoCapture objects

# ORIGAMI APPS

- [Booth](https://github.com/hellonico/opencv-javafx-camera)

- [Yololi](https://github.com/hellonico/yololi)

- [Streamer](https://github.com/hellonico/opencv-live-video-stream-over-http)

- [Viewer](https://github.com/hellonico/origami-viewer)

# Developed with