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conditionaldcgan's Introduction

conditionalDCGAN

MNISTをconditionalDCGANで生成するプログラム

使い方

  • 学習

python ctreate_dataset.py

mnistをpickleに保存して使用しています.

python train.py

Trainerを使わない記述方法です.

  • 画像生成

python test.py -mri result_id -l class_label

学習済みモデルから画像を1枚生成します.

* result_idには利用したいgenerator.pyが保存されたresult直下のフォルダ名を指定

* class_labelには生成したいクラスのラベル(0～9)を指定

    * (ex) クラス0 --> 1;0;0;0;0;0;0;0;0;0

test_sample.batを実行すると, クラス0～9指定画像と, 全て0指定, 全て1指定, 1と3を0.5ずつ指定した画像を生成できます.

動作環境

  • python==3.6.1
  • chainer==3.5.0
  • cupy==2.5.0
  • cuda==v8.0
  • cuDNN==v6
  • GPU: GeForce GTX 1080

サンプル

sample

参考

下記のサイトを参考に致しました.

https://qiita.com/lyakaap/items/a9ae5d91464e72774093

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