training ContrasValDataset

[Winnie202]

In training stage1 and stage2, ContrasValDataset why does use low resolution images to generate ref images by resizing instead of reading ref images directly

    img_path  = self . paths [index ]['in_path' ]
    img_bytes  = self . file_client . get ( img_path ,  'in' ) 
    img_in  = mmcv . imfrombytes ( img_bytes ). astype ( np . float32 )  / 255.

    gt_h,  gt_w = self . opt ['gt_size' ],  self . opt ['gt_size' ]
    # in case that some images may not have the same shape as gt_size 
    img_in  = mmcv . imresize ( img_in , ( gt_w,  gt_h),  interpolation ='bicubic' ) 

    # augmentation: flip, rotation 
    img_in  = augment ([ img_in ],  self . opt ['use_flip' ],  self . opt ['use_rot' ]) 

    # image pair generation 
    img_in_transformed ,  H ,  H_inverse  = image_pair_generation ( 
        img_in , ( 0,  10),  160) 

    return  {
        'img_in':  img_in , 
        'img_in_up':  img_in_up , 
        'img_ref' :  img_in_transformed , 
        'img_ref_up' :  img_in_transformed_up , 
        'transformed_coordinate' :  transformed_coordinate 
    }