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- _base_ = 'mmdet::_base_/default_runtime.py'
- custom_imports = dict(
- imports=['projects.XDecoder.xdecoder'], allow_failed_imports=False)
- model = dict(
- type='XDecoder',
- data_preprocessor=dict(
- type='DetDataPreprocessor',
- mean=[123.675, 116.28, 103.53],
- std=[58.395, 57.12, 57.375],
- bgr_to_rgb=True,
- pad_size_divisor=32),
- backbone=dict(type='FocalNet'),
- head=dict(
- type='XDecoderUnifiedhead',
- in_channels=(96, 192, 384, 768),
- pixel_decoder=dict(type='XTransformerEncoderPixelDecoder'),
- transformer_decoder=dict(type='XDecoderTransformerDecoder'),
- task='semseg',
- ),
- # use_thr_for_mc=True means use threshold for multi-class
- # This parameter is only used in semantic segmentation task and
- # referring semantic segmentation task.
- test_cfg=dict(mask_thr=0.5, use_thr_for_mc=True, ignore_index=255),
- )
- val_cfg = dict(type='ValLoop')
- test_cfg = dict(type='TestLoop')
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