Expose srflow rrdb
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@ -159,6 +159,10 @@ def define_G(opt, opt_net, scale=None):
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netG = RRDBNet_arch.RRDBNet(in_channels=opt_net['in_nc'], out_channels=opt_net['out_nc'],
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mid_channels=opt_net['nf'], num_blocks=opt_net['nb'], scale=opt_net['scale'],
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headless=True, output_mode=output_mode)
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elif which_model == 'rrdb_srflow':
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from models.archs.srflow_orig.RRDBNet_arch import RRDBNet
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netG = RRDBNet(in_nc=opt_net['in_nc'], out_nc=opt_net['out_nc'],
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nf=opt_net['nf'], nb=opt_net['nb'], scale=opt_net['scale'])
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else:
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raise NotImplementedError('Generator model [{:s}] not recognized'.format(which_model))
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return netG
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@ -291,7 +291,7 @@ class Trainer:
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if __name__ == '__main__':
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parser = argparse.ArgumentParser()
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parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../options/train_teco_vix_srg2_classic_proper_disc.yml')
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parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../options/pretrain_imgsetext_rrdb8x.yml')
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parser.add_argument('--launcher', choices=['none', 'pytorch'], default='none', help='job launcher')
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parser.add_argument('--local_rank', type=int, default=0)
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args = parser.parse_args()
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