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authortingchunw <tingchunw@nvidia.com>2018-01-30 01:30:18 +0000
committertingchunw <tingchunw@nvidia.com>2018-01-30 01:30:18 +0000
commitedf910b1c1d02020b31782ab4c3b6ebf9af8c323 (patch)
treecdf1431710eaac3e13f4fc5aa899101dea94c736 /options/base_options.py
parentdd05da797863a13f6e45ec0a2d2ff3c7f8142f38 (diff)
change dataset naming convention and add ui model
Diffstat (limited to 'options/base_options.py')
-rwxr-xr-xoptions/base_options.py1
1 files changed, 1 insertions, 0 deletions
diff --git a/options/base_options.py b/options/base_options.py
index 863c061..de831fe 100755
--- a/options/base_options.py
+++ b/options/base_options.py
@@ -15,6 +15,7 @@ class BaseOptions():
self.parser.add_argument('--name', type=str, default='label2city', help='name of the experiment. It decides where to store samples and models')
self.parser.add_argument('--gpu_ids', type=str, default='0', help='gpu ids: e.g. 0 0,1,2, 0,2. use -1 for CPU')
self.parser.add_argument('--checkpoints_dir', type=str, default='./checkpoints', help='models are saved here')
+ self.parser.add_argument('--model', type=str, default='pix2pixHD', help='which model to use')
self.parser.add_argument('--norm', type=str, default='instance', help='instance normalization or batch normalization')
self.parser.add_argument('--use_dropout', action='store_true', help='use dropout for the generator')