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@williamFalcon
Created November 15, 2019 16:14
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train_arg_parser.add_argument("--epochs", type=int, default=2,
help="number of training epochs, default is 2")
train_arg_parser.add_argument("--batch-size", type=int, default=4,
help="batch size for training, default is 4")
train_arg_parser.add_argument("--dataset", type=str, required=True,
help="path to training dataset, the path should point to a folder "
"containing another folder with all the training images")
train_arg_parser.add_argument("--style-image", type=str, default="images/style-images/mosaic.jpg",
help="path to style-image")
train_arg_parser.add_argument("--image-size", type=int, default=256,
help="size of training images, default is 256 X 256")
train_arg_parser.add_argument("--style-size", type=int, default=None,
help="size of style-image, default is the original size of style image")
train_arg_parser.add_argument("--content-weight", type=float, default=1e5,
help="weight for content-loss, default is 1e5")
train_arg_parser.add_argument("--style-weight", type=float, default=1e10,
help="weight for style-loss, default is 1e10")
train_arg_parser.add_argument("--lr", type=float, default=1e-3,
help="learning rate, default is 1e-3")
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