def set_template(args): | |
# Set the templates here | |
if args.template.find('jpeg') >= 0: | |
args.data_train = 'DIV2K_jpeg' | |
args.data_test = 'DIV2K_jpeg' | |
args.epochs = 200 | |
args.decay = '100' | |
if args.template.find('EDSR_paper') >= 0: | |
args.model = 'EDSR' | |
args.n_resblocks = 32 | |
args.n_feats = 256 | |
args.res_scale = 0.1 | |
if args.template.find('MDSR') >= 0: | |
args.model = 'MDSR' | |
args.patch_size = 48 | |
args.epochs = 650 | |
if args.template.find('DDBPN') >= 0: | |
args.model = 'DDBPN' | |
args.patch_size = 128 | |
args.scale = '4' | |
args.data_test = 'Set5' | |
args.batch_size = 20 | |
args.epochs = 1000 | |
args.decay = '500' | |
args.gamma = 0.1 | |
args.weight_decay = 1e-4 | |
args.loss = '1*MSE' | |
if args.template.find('GAN') >= 0: | |
args.epochs = 200 | |
args.lr = 5e-5 | |
args.decay = '150' | |
if args.template.find('RCAN') >= 0: | |
args.model = 'RCAN' | |
args.n_resgroups = 10 | |
args.n_resblocks = 20 | |
args.n_feats = 64 | |
args.chop = True | |
if args.template.find('VDSR') >= 0: | |
args.model = 'VDSR' | |
args.n_resblocks = 20 | |
args.n_feats = 64 | |
args.patch_size = 41 | |
args.lr = 1e-1 | |