mirror of https://github.com/JDAI-CV/fast-reid.git
33 lines
970 B
Python
33 lines
970 B
Python
# encoding: utf-8
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"""
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@author: liaoxingyu
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@contact: sherlockliao01@gmail.com
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"""
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from torch import nn
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__all__ = ['weights_init_classifier', 'weights_init_kaiming', ]
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def weights_init_kaiming(m):
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classname = m.__class__.__name__
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if classname.find('Linear') != -1:
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nn.init.normal_(m.weight, 0, 0.01)
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if m.bias is not None:
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nn.init.constant_(m.bias, 0.0)
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elif classname.find('Conv') != -1:
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nn.init.kaiming_normal_(m.weight, mode='fan_out', nonlinearity='relu')
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if m.bias is not None:
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nn.init.constant_(m.bias, 0.0)
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elif classname.find('BatchNorm') != -1:
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if m.affine:
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nn.init.normal_(m.weight, 1.0, 0.02)
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nn.init.constant_(m.bias, 0.0)
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def weights_init_classifier(m):
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classname = m.__class__.__name__
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if classname.find('Linear') != -1:
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nn.init.normal_(m.weight, std=0.001)
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if m.bias is not None:
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nn.init.constant_(m.bias, 0.0)
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