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README.md
@@ -29,7 +29,7 @@ Tensorflow implementation of [Deep Convolutional Generative Adversarial Networks
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First, download dataset with:
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- $ python download.py --datasets mnist celebA
+ $ python download.py mnist celebA
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To train a model with downloaded dataset:
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download.py
@@ -172,7 +172,7 @@ def prepare_data_dir(path = './data'):
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args = parser.parse_args()
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prepare_data_dir()
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- if 'celebA' in args.datasets:
+ if any(name in args.datasets for name in ['CelebA', 'celebA', 'celebA']):
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download_celeb_a('./data')
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if 'lsun' in args.datasets:
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download_lsun('./data')
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