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Joe Young's Projects

flownet2 icon flownet2

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

gesture icon gesture

Simple Interactive Machine Learning system for recognizing hand gestures in Processing with OpenCV

hog icon hog

Library implementing Histogram of Oriented Gradients

javacnn icon javacnn

A Java implement of Convolutional Neural Network.

jbinary icon jbinary

High-level API for working with binary data.

job icon job

A Barcode scanner capapable of reading Code128, Code93, Code39, Standard/Industrial 2 of 5, Interleaved 2 of 5, Codabar and EAN-13 barcodes in javascript.

jquery.dform icon jquery.dform

A flexible JavaScript Object and JSON to HTML converter with a focus on forms

jquery.peer icon jquery.peer

jQuery wrapper for PeerJS media streams. (Data channels in progress.)

jsmpeg icon jsmpeg

MPEG1 Video Decoder in JavaScript

json2html icon json2html

json2html is a free javascript HTML templating library with wrappers for both jQuery and Node.js. Using custom defined JSON transforms json2html will convert a set of JSON objects, such as an RSS feed into HTML.

jsonfn icon jsonfn

javascript plugin to convert object with functions to string and string to object

jsonform icon jsonform

Build forms from JSON Schema. Easily template-able. Compatible with Twitter Bootstrap out of the box.

kademlia-api icon kademlia-api

Java Kademlia Library. Highly configurable, Generic and very abstract to cover most usage scenarios.

keras-cats-dogs-tutorial icon keras-cats-dogs-tutorial

A practical example of image classifier with Keras 2.x and TensorFlow backend, using the Kaggle Cats vs. Dogs dataset. By taking advantage of Keras' image data augmentation capabilities (and also random cropping), we were able to achieve 99% accuracy on the trained model with only 2,000 images in the training set.

kernel icon kernel

kernel source files for pcDuino

kinecthandanalysis icon kinecthandanalysis

Does finger tracking, contour analysis, and different types of shape description for the hand contour using a 3D ROI around the hand-tracked by NITE middleware, using OpenCV 2.2, an OpenGL scene, and OpenNI.

kurento-rtsp2webrtc icon kurento-rtsp2webrtc

This example shows how to transform a RTSP feed or an HTTP feed into a low latency WebRTC stream in a simple and seamless manner.

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