diff options
Diffstat (limited to 'options')
| -rw-r--r-- | options/base_options.py | 1 | ||||
| -rw-r--r-- | options/train_options.py | 8 |
2 files changed, 5 insertions, 4 deletions
diff --git a/options/base_options.py b/options/base_options.py index 9ec7c9a..619ca60 100644 --- a/options/base_options.py +++ b/options/base_options.py @@ -20,7 +20,6 @@ class BaseOptions(): self.parser.add_argument('--which_model_netG', type=str, default='resnet_9blocks', help='selects model to use for netG') self.parser.add_argument('--n_layers_D', type=int, default=3, help='only used if which_model_netD==n_layers') self.parser.add_argument('--gpu_ids', type=str, default='0', help='gpu ids: e.g. 0 0,1,2, 0,2') - self.parser.add_argument('--flip' , action='store_true', help='if flip the images for data argumentation') self.parser.add_argument('--name', type=str, default='experiment_name', help='name of the experiment. It decides where to store samples and models') self.parser.add_argument('--align_data', action='store_true', help='if True, the datasets are loaded from "test" and "train" directories and the data pairs are aligned') diff --git a/options/train_options.py b/options/train_options.py index 4b4eac3..a1d347f 100644 --- a/options/train_options.py +++ b/options/train_options.py @@ -10,14 +10,16 @@ class TrainOptions(BaseOptions): self.parser.add_argument('--continue_train', action='store_true', help='continue training: load the latest model') self.parser.add_argument('--phase', type=str, default='train', help='train, val, test, etc') self.parser.add_argument('--which_epoch', type=str, default='latest', help='which epoch to load? set to latest to use latest cached model') - self.parser.add_argument('--niter', type=int, default=200, help='# of iter at starting learning rate') - self.parser.add_argument('--niter_decay', type=int, default=0, help='# of iter to linearly decay learning rate to zero') + self.parser.add_argument('--niter', type=int, default=100, help='# of iter at starting learning rate') + self.parser.add_argument('--niter_decay', type=int, default=100, help='# of iter to linearly decay learning rate to zero') self.parser.add_argument('--beta1', type=float, default=0.5, help='momentum term of adam') self.parser.add_argument('--lr', type=float, default=0.0002, help='initial learning rate for adam') self.parser.add_argument('--no_lsgan', action='store_true', help='do *not* use least square GAN, if false, use vanilla GAN') self.parser.add_argument('--lambda_A', type=float, default=10.0, help='weight for cycle loss (A -> B -> A)') self.parser.add_argument('--lambda_B', type=float, default=10.0, help='weight for cycle loss (B -> A -> B)') - self.parser.add_argument('--pool_size', type=int, default=0, help='the size of image buffer that stores previously generated images') + self.parser.add_argument('--pool_size', type=int, default=50, help='the size of image buffer that stores previously generated images') self.parser.add_argument('--no_html', action='store_true', help='do not save intermediate training results to [opt.checkpoints_dir]/[opt.name]/web/') + self.parser.add_argument('--no_flip' , action='store_true', help='if specified, do not flip the images for data argumentation') + # NOT-IMPLEMENTED self.parser.add_argument('--preprocessing', type=str, default='resize_and_crop', help='resizing/cropping strategy') self.isTrain = True |