diff options
| author | Taesung Park <taesung_park@berkeley.edu> | 2017-05-07 22:18:20 -0700 |
|---|---|---|
| committer | Taesung Park <taesung_park@berkeley.edu> | 2017-05-07 22:18:20 -0700 |
| commit | 5f6e2c4a115a6a706cc011b3bf9ed9e3ef149d98 (patch) | |
| tree | 29708b3526fcb354893982eab0b8d003c63bb12e /options/train_options.py | |
| parent | 349614a2f168654ba59bf1461ea61e1cb9358eb6 (diff) | |
1. Added flipping functionality
2. Changed the default options
Diffstat (limited to 'options/train_options.py')
| -rw-r--r-- | options/train_options.py | 8 |
1 files changed, 5 insertions, 3 deletions
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 |