base_train_pipeline = [                                                                                                                                                                           
     dict(type='LoadImageFromFile'),                                                                                                                                                               
     dict(type='RandomResizedCrop', scale=224, backend='pillow'),                                                                                                                                  
     dict(type='RandomFlip', prob=0.5, direction='horizontal'),                                                                                                                                    
     dict(type='PackClsInputs')                                                                                                                                                                    
 ]                                                                                                                                                                                                 
                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        
 import copy                                                                                                                                                                                       
 # modify 37 epoch's RandomResizedCrop.scale to 192                                                                                                                                                 
 train_pipeline_37e = copy.deepcopy(base_train_pipeline)                                                                                                                                           
 train_pipeline_37e[1]['scale'] = 192                                                                                                                                                              
                                                                                                                                                                                                                                                                                                                               
 custom_hooks = [                                                                                                                                                                                  
     dict(                                                                                                                                                                                         
         type='SwitchRecipeHook',                                                                                                                                                                 
         schedule=[
             dict(
                 action_epoch=30,
                 train_pipeline=pipeline_after_37e,
                 batch_augments=batch_augments_after_37e,
                 loss=loss_after_37e,),
             dict(
                 action_epoch=60,
                 # Disable batch augmentations after 112e
                 # and keep other settings.
                 batch_augments=None,),   
          ]
     )                                                                                                                                                                                                                                                                                                                 
 ]