mmpretrain/configs/swin_transformer_v2/swinv2-large-w12_8xb128_in2...

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584 B
Python

_base_ = [
'../_base_/models/swin_transformer_v2/base_256.py',
'../_base_/datasets/imagenet21k_bs128.py',
'../_base_/schedules/imagenet_bs1024_adamw_swin.py',
'../_base_/default_runtime.py',
]
# model settings
model = dict(
backbone=dict(img_size=192, window_size=[12, 12, 12, 6]),
head=dict(num_classes=21841),
)
# dataset settings
data_preprocessor = dict(num_classes=21841)
_base_['train_pipeline'][1]['scale'] = 192 # RandomResizedCrop
_base_['test_pipeline'][1]['scale'] = 219 # ResizeEdge
_base_['test_pipeline'][2]['crop_size'] = 192 # CenterCrop