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wasserstein-gan
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parameterize input image channels

This commit is contained in:
Edgar Riba 2017-03-09 12:27:42 +01:00 committed by GitHub
parent 9a11dada94
commit 24806980cd
1 changed files with 2 additions and 1 deletions
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main.py
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@ -22,6 +22,7 @@ parser.add_argument('--dataroot', required=True, help='path to dataset')
parser.add_argument('--workers', type=int, help='number of data loading workers', default=2)
parser.add_argument('--batchSize', type=int, default=64, help='input batch size')
parser.add_argument('--imageSize', type=int, default=64, help='the height / width of the input image to network')
parser.add_argument('--nc', type=int, default=3, help='input image channels')
parser.add_argument('--nz', type=int, default=100, help='size of the latent z vector')
parser.add_argument('--ngf', type=int, default=64)
parser.add_argument('--ndf', type=int, default=64)
@ -92,7 +93,7 @@ ngpu = int(opt.ngpu)
nz = int(opt.nz)
ngf = int(opt.ngf)
ndf = int(opt.ndf)
nc = 3
nc = int(opt.nc)
n_extra_layers = int(opt.n_extra_layers)
# custom weights initialization called on netG and netD