RSPrompter / mmseg /models /builder.py
KyanChen's picture
Upload 298 files
2ae34e9
# Copyright (c) OpenMMLab. All rights reserved.
import warnings
from mmseg.registry import MODELS
BACKBONES = MODELS
NECKS = MODELS
HEADS = MODELS
LOSSES = MODELS
SEGMENTORS = MODELS
def build_backbone(cfg):
"""Build backbone."""
warnings.warn('``build_backbone`` would be deprecated soon, please use '
'``mmseg.registry.MODELS.build()`` ')
return BACKBONES.build(cfg)
def build_neck(cfg):
"""Build neck."""
warnings.warn('``build_neck`` would be deprecated soon, please use '
'``mmseg.registry.MODELS.build()`` ')
return NECKS.build(cfg)
def build_head(cfg):
"""Build head."""
warnings.warn('``build_head`` would be deprecated soon, please use '
'``mmseg.registry.MODELS.build()`` ')
return HEADS.build(cfg)
def build_loss(cfg):
"""Build loss."""
warnings.warn('``build_loss`` would be deprecated soon, please use '
'``mmseg.registry.MODELS.build()`` ')
return LOSSES.build(cfg)
def build_segmentor(cfg, train_cfg=None, test_cfg=None):
"""Build segmentor."""
if train_cfg is not None or test_cfg is not None:
warnings.warn(
'train_cfg and test_cfg is deprecated, '
'please specify them in model', UserWarning)
assert cfg.get('train_cfg') is None or train_cfg is None, \
'train_cfg specified in both outer field and model field '
assert cfg.get('test_cfg') is None or test_cfg is None, \
'test_cfg specified in both outer field and model field '
return SEGMENTORS.build(
cfg, default_args=dict(train_cfg=train_cfg, test_cfg=test_cfg))