# MIT License
#
# Copyright (c) 2018 Haoxintong
#
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# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
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# furnished to do so, subject to the following conditions:
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# SOFTWARE.
""" Models for face recognition"""
from .mobile_facenet import *
from .attention_net import *
from .se_resnet import *
_models = {
'l_se_resnet18v2': se_resnet18_v2,
'l_se_resnet50v2': se_resnet50_v2,
'l_se_resnet101v2': se_resnet101_v2,
'mobilefacenet': get_mobile_facenet,
'attention_facenet': get_attention_face,
'attentionfacenet56': attention_net56,
'attentionfacenet92': attention_net92,
}
[docs]def get_model(name, **kwargs):
"""Returns a model by name.
Parameters
----------
name : str
Name of the model.
classes : int
Number of classes for the output layer.
ctx : Context, default CPU
The context in which to load the pretrained weights.
Returns
-------
HybridBlock
The model.
"""
name = name.lower()
if name not in _models:
err_str = '"%s" is not among the following model list:\n\t' % (name)
err_str += '%s' % ('\n\t'.join(sorted(_models.keys())))
raise ValueError(err_str)
net = _models[name](**kwargs)
return net
[docs]def get_model_list():
"""Get the entire list of model names in model_zoo.
Returns
-------
list of str
Entire list of model names in model_zoo.
"""
return _models.keys()