main.py

import tensorflow as tf
import argparse
import os

from pix2pix import *

parser = argparse.ArgumentParser()
parser.add_argument('--lambd', type=float, default=100, help='weights of l1 loss')
parser.add_argument('--lr', type=float, default=0.0002, help='learning rate')
parser.add_argument('--beta1', type=float, default=0.5, help='beta1')
parser.add_argument('--beta2', type=float, default=0.999, help='beta2')
parser.add_argument('--dataset_name', type=str, default='facades', help='dataset name')
parser.add_argument('--dataset_dir', type=str, default='datasets', help='dataset directory')
parser.add_argument('--is_training', type=str, default='False', help='training or testing')
parser.add_argument('--is_testing', type=str, default='False', help='training or testing')
parser.add_argument('--epoches', type=int, default=200, help='training epoches')
parser.add_argument('--phase', type=str, default='train', help='indicating training or testing phase')
parser.add_argument('--checkpoint_dir', type=str, default='checkpoint', help='checkpoint directory')
parser.add_argument('--test_dir', default='test', type=str, help='testing directory')
parser.add_argument('--sample_dir', type=str, default='sample', help='sample directory')
parser.add_argument('--logs_dir', type=str, default='logs', help='log directory')

def check_dir():
    if not os.path.exists('sample'):
        os.mkdir('sample')
    if not os.path.exists('logs'):
        os.mkdir('logs')
    if not os.path.exists('checkpoint'):
        os.mkdir('checkpoint')
    if not os.path.exists('test'):
        os.mkdir('test')

def main(_):
    check_dir()
    args = parser.parse_args()
    gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0.5)
    config = tf.ConfigProto(log_device_placement=True, allow_soft_placement=True, gpu_options=gpu_options)
    with tf.Session(config=config) as sess:        
        pix2pix_ = pix2pix(args, sess=sess)
        pix2pix_.build_model()
        if args.is_training == 'True':
            pix2pix_.train()

        if args.is_testing == 'True':
            pix2pix_.test()
        
if __name__=='__main__':
    with tf.device('/gpu:0'):
        tf.app.run()