57 lines
1.3 KiB
Python
57 lines
1.3 KiB
Python
from mmcv.utils import Registry, build_from_cfg
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from torch import nn
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BACKBONES = Registry('backbone')
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NECKS = Registry('neck')
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HEADS = Registry('head')
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LOSSES = Registry('loss')
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SEGMENTORS = Registry('segmentor')
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def build(cfg, registry, default_args=None):
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"""Build a module.
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Args:
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cfg (dict, list[dict]): The config of modules, is is either a dict
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or a list of configs.
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registry (:obj:`Registry`): A registry the module belongs to.
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default_args (dict, optional): Default arguments to build the module.
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Defaults to None.
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Returns:
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nn.Module: A built nn module.
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"""
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if isinstance(cfg, list):
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modules = [
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build_from_cfg(cfg_, registry, default_args) for cfg_ in cfg
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]
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return nn.Sequential(*modules)
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else:
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return build_from_cfg(cfg, registry, default_args)
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def build_backbone(cfg):
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"""Build backbone."""
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return build(cfg, BACKBONES)
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def build_neck(cfg):
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"""Build neck."""
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return build(cfg, NECKS)
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def build_head(cfg):
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"""Build head."""
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return build(cfg, HEADS)
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def build_loss(cfg):
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"""Build loss."""
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return build(cfg, LOSSES)
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def build_segmentor(cfg, train_cfg=None, test_cfg=None):
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"""Build segmentor."""
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return build(cfg, SEGMENTORS, dict(train_cfg=train_cfg, test_cfg=test_cfg))
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