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checkpoint = 'https://download.openmmlab.com/mmsegmentation/v0.5/pretrain/twins/pcpvt_small_20220308-e638c41c.pth' # noqa | |
# model settings | |
backbone_norm_cfg = dict(type='LN') | |
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, | |
backbone=dict( | |
type='PCPVT', | |
init_cfg=dict(type='Pretrained', checkpoint=checkpoint), | |
in_channels=3, | |
embed_dims=[64, 128, 320, 512], | |
num_heads=[1, 2, 5, 8], | |
patch_sizes=[4, 2, 2, 2], | |
strides=[4, 2, 2, 2], | |
mlp_ratios=[8, 8, 4, 4], | |
out_indices=(0, 1, 2, 3), | |
qkv_bias=True, | |
norm_cfg=backbone_norm_cfg, | |
depths=[3, 4, 6, 3], | |
sr_ratios=[8, 4, 2, 1], | |
norm_after_stage=False, | |
drop_rate=0.0, | |
attn_drop_rate=0., | |
drop_path_rate=0.2), | |
decode_head=dict( | |
type='UPerHead', | |
in_channels=[64, 128, 320, 512], | |
in_index=[0, 1, 2, 3], | |
pool_scales=(1, 2, 3, 6), | |
channels=512, | |
dropout_ratio=0.1, | |
num_classes=150, | |
norm_cfg=norm_cfg, | |
align_corners=False, | |
loss_decode=dict( | |
type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), | |
auxiliary_head=dict( | |
type='FCNHead', | |
in_channels=320, | |
in_index=2, | |
channels=256, | |
num_convs=1, | |
concat_input=False, | |
dropout_ratio=0.1, | |
num_classes=150, | |
norm_cfg=norm_cfg, | |
align_corners=False, | |
loss_decode=dict( | |
type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.4)), | |
# model training and testing settings | |
train_cfg=dict(), | |
test_cfg=dict(mode='whole')) | |