#!/usr/bin/env python3

# Original Version: Taehoon Kim (http://carpedm20.github.io)

# + Source: https://github.com/carpedm20/DCGAN-tensorflow/blob/e30539fb5e20d5a0fed40935853da97e9e55eee8/main.py

# + License: MIT

# [2016-08-05] Modifications for Inpainting: Brandon Amos (http://bamos.github.io)

# + License: MIT

import os

import scipy.misc

import numpy as np

from model import DCGAN

from utils import pp, visualize, to_json

import tensorflow as tf

flags = tf.app.flags

flags.DEFINE_integer("epoch", 25, "Epoch to train [25]")

flags.DEFINE_float("learning_rate", 0.0002, "Learning rate of for adam [0.0002]")

flags.DEFINE_float("beta1", 0.5, "Momentum term of adam [0.5]")

flags.DEFINE_integer("train_size", np.inf, "The size of train images [np.inf]")

flags.DEFINE_integer("batch_size", 64, "The size of batch images [64]")

flags.DEFINE_integer("image_size", 64, "The size of image to use")

flags.DEFINE_string("dataset", "lfw-aligned-64", "Dataset directory.")

flags.DEFINE_string("checkpoint_dir", "checkpoint", "Directory name to save the checkpoints [checkpoint]")

flags.DEFINE_string("sample_dir", "samples", "Directory name to save the image samples [samples]")

FLAGS = flags.FLAGS

if not os.path.exists(FLAGS.checkpoint_dir):

os.makedirs(FLAGS.checkpoint_dir)

if not os.path.exists(FLAGS.sample_dir):

os.makedirs(FLAGS.sample_dir)

config = tf.ConfigProto()

config.gpu_options.allow_growth = True

with tf.Session(config=config) as sess:

dcgan = DCGAN(sess, image_size=FLAGS.image_size, batch_size=FLAGS.batch_size,

is_crop=False, checkpoint_dir=FLAGS.checkpoint_dir)

dcgan.train(FLAGS)