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hub / github.com/chenhaoxing/HDNet / initialize

Method initialize

options/base_options.py:20–58  ·  view source on GitHub ↗

Define the common options that are used in both training and test.

(self, parser)

Source from the content-addressed store, hash-verified

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).

Callers 1

gather_optionsMethod · 0.95

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