mirror of
https://github.com/iperov/DeepFaceLab.git
synced 2024-12-25 23:41:12 -08:00
61472cdaf7
removed support of extracted(aligned) PNG faces. Use old builds to convert from PNG to JPG. fanseg model file in facelib/ is renamed
50 lines
1.6 KiB
Python
50 lines
1.6 KiB
Python
import numpy as np
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from core.leras import nn
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tf = nn.tf
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class BlurPool(nn.LayerBase):
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def __init__(self, filt_size=3, stride=2, **kwargs ):
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if nn.data_format == "NHWC":
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self.strides = [1,stride,stride,1]
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else:
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self.strides = [1,1,stride,stride]
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self.filt_size = filt_size
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pad = [ int(1.*(filt_size-1)/2), int(np.ceil(1.*(filt_size-1)/2)) ]
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if nn.data_format == "NHWC":
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self.padding = [ [0,0], pad, pad, [0,0] ]
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else:
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self.padding = [ [0,0], [0,0], pad, pad ]
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if(self.filt_size==1):
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a = np.array([1.,])
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elif(self.filt_size==2):
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a = np.array([1., 1.])
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elif(self.filt_size==3):
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a = np.array([1., 2., 1.])
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elif(self.filt_size==4):
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a = np.array([1., 3., 3., 1.])
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elif(self.filt_size==5):
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a = np.array([1., 4., 6., 4., 1.])
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elif(self.filt_size==6):
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a = np.array([1., 5., 10., 10., 5., 1.])
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elif(self.filt_size==7):
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a = np.array([1., 6., 15., 20., 15., 6., 1.])
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a = a[:,None]*a[None,:]
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a = a / np.sum(a)
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a = a[:,:,None,None]
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self.a = a
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super().__init__(**kwargs)
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def build_weights(self):
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self.k = tf.constant (self.a, dtype=nn.floatx )
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def forward(self, x):
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k = tf.tile (self.k, (1,1,x.shape[nn.conv2d_ch_axis],1) )
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x = tf.pad(x, self.padding )
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x = tf.nn.depthwise_conv2d(x, k, self.strides, 'VALID', data_format=nn.data_format)
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return x
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nn.BlurPool = BlurPool |