| 3 | |
| 4 | |
| 5 | def create_model(opt): |
| 6 | # image restoration |
| 7 | model = opt['model'] |
| 8 | if model == 'sr': |
| 9 | from .SIEN_model import SIEN_Model as M |
| 10 | elif model == 'multi': |
| 11 | from .multitask_SIEN_model import multitask_SIEN_model as M |
| 12 | elif model == 'UNet' : |
| 13 | from .multitask_UNet_model import multitask_UNet_model as M |
| 14 | elif model == 'ViT' : |
| 15 | from .multitask_ViT_model import multitask_ViT_model as M |
| 16 | elif model == 'BCDU' : |
| 17 | from .multitask_BCDU_model import multitask_BCDUNet_model as M |
| 18 | elif model == 'DEGAN' : |
| 19 | from .multitask_DeGAN_model import multitask_DEGAN_model as M |
| 20 | # to visualize shallow feature map |
| 21 | elif model == 'DocNC' : |
| 22 | from .multitask_docnc_model import multitask_docnc_model as M |
| 23 | elif model == 'Barlow' : |
| 24 | from .multitask_Barlow_model_new import multitask_Barlow_model as M |
| 25 | elif model == 'DIAE' : |
| 26 | from .multitask_DIAE_model import multitask_DIAE_model as M |
| 27 | else: |
| 28 | raise NotImplementedError('Model [{:s}] not recognized.'.format(model)) |
| 29 | m = M(opt) |
| 30 | logger.info('Model [{:s}] is created.'.format(m.__class__.__name__)) |
| 31 | return m |
| 32 | |