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synced 2024-03-22 13:10:55 +08:00
fix
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@ -111,23 +111,23 @@ class FaceEnhancer(object):
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x = tf.nn.leaky_relu(self.center_conv2(x), 0.1)
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x = tf.nn.leaky_relu(self.center_conv3(x), 0.1)
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x = tf.concat( [nn.tf_upsample2d_bilinear(x), e4], -1 )
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x = tf.concat( [nn.tf_resize2d_bilinear(x), e4], -1 )
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x = tf.nn.leaky_relu(self.d4_conv0(x), 0.1)
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x = tf.nn.leaky_relu(self.d4_conv1(x), 0.1)
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x = tf.concat( [nn.tf_upsample2d_bilinear(x), e3], -1 )
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x = tf.concat( [nn.tf_resize2d_bilinear(x), e3], -1 )
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x = tf.nn.leaky_relu(self.d3_conv0(x), 0.1)
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x = tf.nn.leaky_relu(self.d3_conv1(x), 0.1)
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x = tf.concat( [nn.tf_upsample2d_bilinear(x), e2], -1 )
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x = tf.concat( [nn.tf_resize2d_bilinear(x), e2], -1 )
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x = tf.nn.leaky_relu(self.d2_conv0(x), 0.1)
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x = tf.nn.leaky_relu(self.d2_conv1(x), 0.1)
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x = tf.concat( [nn.tf_upsample2d_bilinear(x), e1], -1 )
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x = tf.concat( [nn.tf_resize2d_bilinear(x), e1], -1 )
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x = tf.nn.leaky_relu(self.d1_conv0(x), 0.1)
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x = tf.nn.leaky_relu(self.d1_conv1(x), 0.1)
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x = tf.concat( [nn.tf_upsample2d_bilinear(x), e0], -1 )
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x = tf.concat( [nn.tf_resize2d_bilinear(x), e0], -1 )
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x = tf.nn.leaky_relu(self.d0_conv0(x), 0.1)
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x = d0 = tf.nn.leaky_relu(self.d0_conv1(x), 0.1)
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@ -138,22 +138,22 @@ class FaceEnhancer(object):
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x = d0
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x = tf.nn.leaky_relu(self.dec2x_conv0(x), 0.1)
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x = tf.nn.leaky_relu(self.dec2x_conv1(x), 0.1)
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x = d2x = nn.tf_upsample2d_bilinear(x)
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x = d2x = nn.tf_resize2d_bilinear(x)
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x = tf.nn.leaky_relu(self.out2x_conv0(x), 0.1)
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x = self.out2x_conv1(x)
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out2x = nn.tf_upsample2d_bilinear(out1x) + tf.nn.tanh(x)
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out2x = nn.tf_resize2d_bilinear(out1x) + tf.nn.tanh(x)
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x = d2x
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x = tf.nn.leaky_relu(self.dec4x_conv0(x), 0.1)
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x = tf.nn.leaky_relu(self.dec4x_conv1(x), 0.1)
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x = d4x = nn.tf_upsample2d_bilinear(x)
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x = d4x = nn.tf_resize2d_bilinear(x)
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x = tf.nn.leaky_relu(self.out4x_conv0(x), 0.1)
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x = self.out4x_conv1(x)
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out4x = nn.tf_upsample2d_bilinear(out2x) + tf.nn.tanh(x)
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out4x = nn.tf_resize2d_bilinear(out2x) + tf.nn.tanh(x)
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return out4x
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