global refactoring and fixes,

removed support of extracted(aligned) PNG faces. Use old builds to convert from PNG to JPG.

fanseg model file in facelib/ is renamed

core/leras/layers/BlurPool.py

@@ -0,0 +1,50 @@
+import numpy as np
+from core.leras import nn
+tf = nn.tf
+
+class BlurPool(nn.LayerBase):
+    def __init__(self, filt_size=3, stride=2, **kwargs ):
+
+        if nn.data_format == "NHWC":
+            self.strides = [1,stride,stride,1]
+        else:
+            self.strides = [1,1,stride,stride]
+
+        self.filt_size = filt_size
+        pad = [ int(1.*(filt_size-1)/2), int(np.ceil(1.*(filt_size-1)/2)) ]
+
+        if nn.data_format == "NHWC":
+            self.padding = [ [0,0], pad, pad, [0,0] ]
+        else:
+            self.padding = [ [0,0], [0,0], pad, pad ]
+
+        if(self.filt_size==1):
+            a = np.array([1.,])
+        elif(self.filt_size==2):
+            a = np.array([1., 1.])
+        elif(self.filt_size==3):
+            a = np.array([1., 2., 1.])
+        elif(self.filt_size==4):
+            a = np.array([1., 3., 3., 1.])
+        elif(self.filt_size==5):
+            a = np.array([1., 4., 6., 4., 1.])
+        elif(self.filt_size==6):
+            a = np.array([1., 5., 10., 10., 5., 1.])
+        elif(self.filt_size==7):
+            a = np.array([1., 6., 15., 20., 15., 6., 1.])
+
+        a = a[:,None]*a[None,:]
+        a = a / np.sum(a)
+        a = a[:,:,None,None]
+        self.a = a
+        super().__init__(**kwargs)
+
+    def build_weights(self):
+        self.k = tf.constant (self.a, dtype=nn.floatx )
+
+    def forward(self, x):
+        k = tf.tile (self.k, (1,1,x.shape[nn.conv2d_ch_axis],1) )
+        x = tf.pad(x, self.padding )
+        x = tf.nn.depthwise_conv2d(x, k, self.strides, 'VALID', data_format=nn.data_format)
+        return x
+nn.BlurPool = BlurPool