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Perform image segmentation and background removal in javascript using canvas element and computer vision superpixel algorithms, and convnetjs (experimental)

Home Page: http://www.eraseimage.com/

Python 0.09% JavaScript 88.58% HTML 5.50% CSS 5.84%

imagesegmentation's Introduction

Image Eraser by Akshay Bhat

http://eraseimage.com/ Image Eraser allows users to perform image segmentation inside browser using a vector editor (FabricJS) and JS implementations of superpixel algorithms.

Very early experimental results using ConvnetJS (ordinary NN not deep net) and support for Zoom In/Out using scrollwheel/touchpad at http://www.eraseimage.com/Experiment

Using SLIC superpixels

Segmentation

Pixelwise prediction using ConvnetJS (with Zoom support)

ConvnetJS

Following libraries & templates are used:

  1. https://almsaeedstudio.com/
  2. https://github.com/kyamagu/js-segment-annotator/blob/master/LICENSE
  3. http://fabricjs.com/kitchensink/
  4. http://inspirit.github.io/jsfeat/
  5. http://linkedin.github.io/hopscotch/
  6. https://github.com/karpathy/convnetjs
  7. http://ace.c9.io/
  8. https://github.com/axemclion/seamcarving

License:
Copyright 2015, Cornell University. All Rights Reserved.

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