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norm_cfg = dict(type='SyncBN', requires_grad=True) | |
data_preprocessor = dict( | |
type='SegDataPreProcessor', | |
mean=[123.675, 116.28, 103.53], | |
std=[58.395, 57.12, 57.375], | |
bgr_to_rgb=True, | |
pad_val=0, | |
seg_pad_val=255) | |
model = dict( | |
type='EncoderDecoder', | |
data_preprocessor=data_preprocessor, | |
pretrained='pretrain/vit-b16_p16_224-80ecf9dd.pth', # noqa | |
backbone=dict( | |
type='VisionTransformer', | |
img_size=224, | |
embed_dims=768, | |
num_layers=12, | |
num_heads=12, | |
out_indices=(2, 5, 8, 11), | |
final_norm=False, | |
with_cls_token=True, | |
output_cls_token=True), | |
decode_head=dict( | |
type='DPTHead', | |
in_channels=(768, 768, 768, 768), | |
channels=256, | |
embed_dims=768, | |
post_process_channels=[96, 192, 384, 768], | |
num_classes=150, | |
readout_type='project', | |
input_transform='multiple_select', | |
in_index=(0, 1, 2, 3), | |
norm_cfg=norm_cfg, | |
loss_decode=dict( | |
type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), | |
auxiliary_head=None, | |
# model training and testing settings | |
train_cfg=dict(), | |
test_cfg=dict(mode='whole')) # yapf: disable | |