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30 lines
776 B
Python
30 lines
776 B
Python
# model settings
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model = dict(
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type='SwAV',
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data_preprocessor=dict(
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mean=(123.675, 116.28, 103.53),
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std=(58.395, 57.12, 57.375),
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bgr_to_rgb=True),
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backbone=dict(
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type='ResNet',
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depth=50,
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in_channels=3,
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out_indices=[4], # 0: conv-1, x: stage-x
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norm_cfg=dict(type='SyncBN'),
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zero_init_residual=True),
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neck=dict(
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type='SwAVNeck',
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in_channels=2048,
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hid_channels=2048,
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out_channels=128,
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with_avg_pool=True),
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head=dict(
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type='SwAVHead',
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loss=dict(
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type='SwAVLoss',
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feat_dim=128, # equal to neck['out_channels']
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epsilon=0.05,
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temperature=0.1,
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num_crops=[2, 6],
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)))
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