image-analogies – Generate some weird images

情報源: GitHub – awentzonline/image-analogies: Generate some weird images

Contribute to ostagram development by creating an account on GitHub.

情報源: GitHub – SergeyMorugin/ostagram

情報源: deepart.io – become a digital artist

mogrify -resize 100×800! *.png

by http://technique.sonots.com/?UNIX%2F%E3%82%B3%E3%83%9E%E3%83%B3%E3%83%89%2F%E5%A4%89%E6%8F%9B%2Fmogrify

情報源: scikit-learn で最低限の自作推定器(Estimator)を実装する – Qiita

deepdetect – Deep Learning API and Server in C++11 with Python bindings and support for Caffe

情報源: GitHub – beniz/deepdetect: Deep Learning API and Server in C++11 with Python bindings and support for Caffe

by http://d.hatena.ne.jp/pyopyopyo/20050801/p1
by http://stackoverflow.com/questions/34158728/how-should-three-images-be-tiled-using-imagemagick-montage
by http://iyukki.blog56.fc2.com/blog-entry-135.html
コマンド例

convert \( 0001.jpg -resize 200x200 \) \( 0003.jpg -resize 200x200 \) -append \( 0005.jpg -resize 400x400 \) +append result.png

convert \( content_01.jpg -resize 200x \) \( ../etc/plus.jpg -resize 50x -gravity center \) \( content_02.jpg -resize 200x \) -append \( ../etc/equal.jpg -resize 50x -gravity center \) \( out_01.jpg -resize 400x \) +append all.jpg


chainer-DCGAN – 学習済みDCGANを用いて遊ぶ

情報源: GitHub – Hi-king/chainer-DCGAN: 学習済みDCGANを用いて遊ぶ

fauxtograph – Tools for using a variational auto-encoder for latent image encoding and generation.

情報源: GitHub – stitchfix/fauxtograph: Tools for using a variational auto-encoder for latent image encoding and generation.

CNNMRF – code for paper “Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis”

情報源: GitHub – chuanli11/CNNMRF: code for paper “Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis”