diff --git a/models/Model_DEV_FANSEG/Model.py b/models/Model_DEV_FANSEG/Model.py
index 5e84c08..2233947 100644
--- a/models/Model_DEV_FANSEG/Model.py
+++ b/models/Model_DEV_FANSEG/Model.py
@@ -21,7 +21,7 @@ class Model(ModelBase):
     def onInitializeOptions(self, is_first_run, ask_override):            
         default_face_type = 'f'
         if is_first_run:
-            self.options['face_type'] = io.input_str ("Half or Full face? (h/f, ?:help skip:f) : ", default_face_type, ['h','f'], help_message="Half face has better resolution, but covers less area of cheeks.").lower()
+            self.options['face_type'] = io.input_str ("Half or Full face? (h/f, ?:help skip:f) : ", default_face_type, ['h','f'], help_message="").lower()
         else:
             self.options['face_type'] = self.options.get('face_type', default_face_type)
      
@@ -48,12 +48,12 @@ class Model(ModelBase):
                     SampleGeneratorFace(self.training_data_src_path, debug=self.is_debug(), batch_size=self.batch_size, 
                             sample_process_options=SampleProcessor.Options(random_flip=True, motion_blur = [25, 1] ), 
                             output_sample_types=[ [f.WARPED_TRANSFORMED | face_type | f.MODE_BGR_SHUFFLE | f.OPT_APPLY_MOTION_BLUR, self.resolution],
-                                                  [f.WARPED_TRANSFORMED | face_type | f.MODE_M | f.FACE_MASK_FULL, self.resolution]
+                                                  [f.WARPED_TRANSFORMED | face_type | f.MODE_M | f.FACE_MASK_FULL, self.resolution],                                          
                                                 ]),
                                                 
                     SampleGeneratorFace(self.training_data_dst_path, debug=self.is_debug(), batch_size=self.batch_size, 
                             sample_process_options=SampleProcessor.Options(random_flip=True ), 
-                            output_sample_types=[ [f.TRANSFORMED | face_type | f.MODE_BGR_SHUFFLE, self.resolution]
+                            output_sample_types=[ [f.TRANSFORMED | face_type | f.MODE_BGR_SHUFFLE, self.resolution],
                                                 ])
                                                ])
                 
@@ -71,8 +71,8 @@ class Model(ModelBase):
         
     #override
     def onGetPreview(self, sample):
-        test_A   = sample[0][0][0:4] #first 4 samples
-        test_B   = sample[1][0][0:4] #first 4 samples
+        test_A      = sample[0][0][0:4] #first 4 samples
+        test_B      = sample[1][0][0:4] #first 4 samples
         
         mAA = self.fan_seg.extract(test_A)
         mBB = self.fan_seg.extract(test_B)
diff --git a/samplelib/SampleGeneratorFace.py b/samplelib/SampleGeneratorFace.py
index 3fcc530..59f8a58 100644
--- a/samplelib/SampleGeneratorFace.py
+++ b/samplelib/SampleGeneratorFace.py
@@ -10,7 +10,7 @@ from samplelib import SampleType, SampleProcessor, SampleLoader, SampleGenerator
 '''
 arg
 output_sample_types = [
-                        [SampleProcessor.TypeFlags, size, (optional)random_sub_size] ,
+                        [SampleProcessor.TypeFlags, size, (optional) {} opts ] ,
                         ...
                       ]
 '''
diff --git a/samplelib/SampleProcessor.py b/samplelib/SampleProcessor.py
index 3da41a0..39d953f 100644
--- a/samplelib/SampleProcessor.py
+++ b/samplelib/SampleProcessor.py
@@ -31,6 +31,8 @@ class SampleProcessor(object):
         MODE_GGG                   = 0x00040000,  #3xGrayscale
         MODE_M                     = 0x00080000,  #mask only
         MODE_BGR_SHUFFLE           = 0x00100000,  #BGR shuffle
+        
+        
 
         OPT_APPLY_MOTION_BLUR      = 0x10000000,
 
@@ -79,7 +81,10 @@ class SampleProcessor(object):
         for sample_type in output_sample_types:
             f = sample_type[0]
             size = 0 if len (sample_type) < 2 else sample_type[1]
-            random_sub_size = 0 if len (sample_type) < 3 else min( sample_type[2] , size)
+            opts = {} if len (sample_type) < 3 else sample_type[2]
+            
+            random_sub_size = opts.get('random_sub_size', 0)
+            normalize_std_dev = opts.get('normalize_std_dev', False)
 
             if f & SPTF.SOURCE != 0:
                 img_type = 0
@@ -220,6 +225,9 @@ class SampleProcessor(object):
 
                 img_bgr  = img[...,0:3]
                 img_mask = img[...,3:4]
+                
+                if normalize_std_dev:
+                    img_bgr = (img_bgr - img_bgr.mean( (0,1)) ) / img_bgr.std( (0,1) )
 
                 if f & SPTF.MODE_BGR != 0:
                     img = img_bgr