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/imagelib/blursharpen.py

@@ -0,0 +1,38 @@
+import cv2
+import numpy as np
+
+def LinearMotionBlur(image, size, angle):
+    k = np.zeros((size, size), dtype=np.float32)
+    k[ (size-1)// 2 , :] = np.ones(size, dtype=np.float32)
+    k = cv2.warpAffine(k, cv2.getRotationMatrix2D( (size / 2 -0.5 , size / 2 -0.5 ) , angle, 1.0), (size, size) )
+    k = k * ( 1.0 / np.sum(k) )
+    return cv2.filter2D(image, -1, k)
+    
+def blursharpen (img, sharpen_mode=0, kernel_size=3, amount=100):
+    if kernel_size % 2 == 0:
+        kernel_size += 1
+    if amount > 0:
+        if sharpen_mode == 1: #box
+            kernel = np.zeros( (kernel_size, kernel_size), dtype=np.float32)
+            kernel[ kernel_size//2, kernel_size//2] = 1.0
+            box_filter = np.ones( (kernel_size, kernel_size), dtype=np.float32) / (kernel_size**2)
+            kernel = kernel + (kernel - box_filter) * amount
+            return cv2.filter2D(img, -1, kernel)
+        elif sharpen_mode == 2: #gaussian
+            blur = cv2.GaussianBlur(img, (kernel_size, kernel_size) , 0)
+            img = cv2.addWeighted(img, 1.0 + (0.5 * amount), blur, -(0.5 * amount), 0)
+            return img
+    elif amount < 0:
+        n = -amount
+        while n > 0:
+
+            img_blur = cv2.medianBlur(img, 5)
+            if int(n / 10) != 0:
+                img = img_blur
+            else:
+                pass_power = (n % 10) / 10.0
+                img = img*(1.0-pass_power)+img_blur*pass_power
+            n = max(n-10,0)
+
+        return img
+    return img