model = dict( type='ImageClassifier', backbone=dict( type='SwinTransformer', arch='large', img_size=384, out_indices=(1, 2, 3), # original weight is for detection stage_cfgs=dict(block_cfgs=dict(window_size=12))), neck=None, head=None) data_preprocessor = dict( # RGB format normalization parameters mean=[103.53, 116.28, 123.675], std=[57.375, 57.12, 58.395], # convert image from BGR to RGB to_rgb=False, )