Define the common options that are used in both training and test.
(self, parser)
| 18 | self.initialized = False |
| 19 | |
| 20 | def initialize(self, parser): |
| 21 | """Define the common options that are used in both training and test.""" |
| 22 | # basic parameters |
| 23 | parser.add_argument('--dataset_root',type=str, default='./datasets/IH256/', help='path to iHarmony4 dataset') #mia |
| 24 | parser.add_argument('--name', type=str, default='experiment_train', help='name of the experiment. It decides where to store samples and models') |
| 25 | parser.add_argument('--gpu_ids', type=str, default='0', help='gpu ids: e.g. 0 0,1,2, 0,2. use -1 for CPU') |
| 26 | parser.add_argument('--checkpoints_dir', type=str, default='./checkpoints', help='models are saved here') |
| 27 | parser.add_argument('--is_train', type=bool, default=True, help='train mode') |
| 28 | # model parameters |
| 29 | parser.add_argument('--model', type=str, default='hdnet', help='chooses which model to use. [cycle_gan | pix2pix | test | colorization]') |
| 30 | parser.add_argument('--input_nc', type=int, default=3, help='# of input image channels: 4 for concated comp and mask') #mia |
| 31 | parser.add_argument('--output_nc', type=int, default=3, help='# of output image channels: 3 for RGB and 1 for grayscale') |
| 32 | parser.add_argument('--ngf', type=int, default=32, help='# of gen filters in the last conv layer') |
| 33 | parser.add_argument('--ndf', type=int, default=64, help='# of discrim filters in the first conv layer') |
| 34 | parser.add_argument('--netD', type=str, default='basic', help='specify discriminator architecture [basic | n_layers | pixel]. The basic model is a 70x70 PatchGAN. n_layers allows you to specify the layers in the discriminator') |
| 35 | parser.add_argument('--netG', type=str, default='hdnet', help='specify generator architecture [resnet_9blocks | resnet_6blocks | unet_256 | unet_128]') |
| 36 | parser.add_argument('--n_layers_D', type=int, default=3, help='only used if netD==n_layers') |
| 37 | parser.add_argument('--normD', type=str, default='instance', help='instance normalization or batch normalization [instance | batch | none]') |
| 38 | parser.add_argument('--normG', type=str, default='RAIN', help='Regional Adaptive Normalization or batch normalization [instance | batch | none]') |
| 39 | parser.add_argument('--init_type', type=str, default='normal', help='network initialization [normal | xavier | kaiming | orthogonal]') |
| 40 | parser.add_argument('--init_gain', type=float, default=0.02, help='scaling factor for normal, xavier and orthogonal.') |
| 41 | parser.add_argument('--no_dropout', action='store_true', help='no dropout for the generator') |
| 42 | # dataset parameters |
| 43 | parser.add_argument('--dataset_mode', type=str, default='iharmony4', help='load iHarmony4 dataset') #mia |
| 44 | parser.add_argument('--serial_batches', action='store_true', help='if true, takes images in order to make batches, otherwise takes them randomly') |
| 45 | parser.add_argument('--num_threads', default=32, type=int, help='# threads for loading data') |
| 46 | parser.add_argument('--batch_size', type=int, default=12, help='input batch size') |
| 47 | parser.add_argument('--load_size', type=int, default=256, help='scale images to this size') |
| 48 | parser.add_argument('--crop_size', type=int, default=256, help='then crop to this size') |
| 49 | parser.add_argument('--max_dataset_size', type=int, default=float("inf"), help='Maximum number of samples allowed per dataset. If the dataset directory contains more than max_dataset_size, only a subset is loaded.') |
| 50 | parser.add_argument('--preprocess', type=str, default='none', help='scaling and cropping of images at load time [resize_and_crop | crop | scale_width | scale_width_and_crop | none]') |
| 51 | parser.add_argument('--display_winsize', type=int, default=256, help='display window size for both visdom and HTML') |
| 52 | # additional parameters |
| 53 | parser.add_argument('--epoch', type=str, default='latest', help='which epoch to load? set to latest to use latest cached model') |
| 54 | parser.add_argument('--load_iter', type=int, default=0, help='which iteration to load? if load_iter > 0, the code will load models by iter_[load_iter]; otherwise, the code will load models by [epoch]') |
| 55 | parser.add_argument('--verbose', action='store_true', help='if specified, print more debugging information') |
| 56 | parser.add_argument('--suffix', default='', type=str, help='customized suffix: opt.name = opt.name + suffix: e.g., {model}_{netG}_size{load_size}') |
| 57 | self.initialized = True |
| 58 | return parser |
| 59 | |
| 60 | def gather_options(self): |
| 61 | """Initialize our parser with basic options(only once). |