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)

• Full support for OpenCV 4.9.0
  • CircleCI Passing
  • Cuda Enabled NVidia Support included
  • Architecture support matrix
• On-going support for Yolo v6
• Origami Docs
• codox generated API is here
• Ready to use jupyter, clojure notebooks, java notebooks
• Deep Neural Networks with origami-dnn
• Run on AWS Lambdas
• Real-time Streaming Server App
• With 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

• Booth
• Yololi
• Streamer
• Viewer