def __init__(self, filters, init_normal_stddev=0.01, **kwargs):
"""Init
Parameters
----------
filters : int
Number of channel of the input feature map
init_normal_stddev : float
Normal kernel initialization
**kwargs:
Pass to superclass. See Con2D layer in Keras
"""
self.filters = filters
super(ConvOffset2D, self).__init__(
self.filters * 2, (3, 3), padding='same', use_bias=False,
kernel_initializer=RandomNormal(0, init_normal_stddev),
**kwargs
)
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