39 lines
786 B
Python
39 lines
786 B
Python
import torch.nn as nn
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from mmcv.utils import Registry, build_from_cfg
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BACKBONES = Registry('backbone')
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CLASSIFIERS = Registry('classifier')
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HEADS = Registry('head')
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NECKS = Registry('neck')
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LOSSES = Registry('loss')
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def build(cfg, registry, default_args=None):
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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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return build(cfg, BACKBONES)
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def build_head(cfg):
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return build(cfg, HEADS)
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def build_neck(cfg):
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return build(cfg, NECKS)
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def build_loss(cfg):
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return build(cfg, LOSSES)
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def build_classifier(cfg):
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return build(cfg, CLASSIFIERS)
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