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Anime-style-Auto-Coloring-Network for project of EC4209 Artificial Intelligence on 2016 Spring

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Anime-style-Auto-Coloring-Network

This repository is of a semi-refined bundle for project of EC4209 Artificial Intelligence on 2016 Spring at GIST college, Korea. This algorithm and system is not for commerical or research use, just for course project. (Actually, the performance and efficiency is not good to that extend.)

Object

Our main objective is to colorize a grayscale image from a given source image that has similar grayscale image, and paint in colors.

Enviroment & Dependency

  • Ubuntu 14.04
  • GeForce GTX980Ti with 6GB VRAM
  • Intel i5-3690k @4.2GHZ
  • 16GB main RAM
  • Cuda Toolkit 7.5 + cuDNN 5.0

R lang

  • EBImage
  • stats
  • ggplot2
  • graphics

C++

  • OpenCV3

Python

  • OpenCV3
  • Tensorflow + tflearn

Feature

feature.png For detail, please read our final report.

Result

result.png

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Anime-style-Auto-Coloring-Network for project of EC4209 Artificial Intelligence on 2016 Spring

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  • R 31.9%
  • Python 31.1%
  • C++ 26.7%
  • Shell 7.6%
  • Makefile 2.7%