Mc deep pixbis

Adds a net architecture, extractor and tests

bob/learn/pytorch/extractor/image/MCDeepPixBiS.py

@@ -25,7 +25,7 @@ class MCDeepPixBiSExtractor(Extractor):
 
   """
   
-  def __init__(self, transforms = transforms.Compose([transforms.ToTensor(),transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])]), model_file=None, num_channels=8, scoring_method='pixel_mean'):
+  def __init__(self, transforms = transforms.Compose([transforms.ToTensor(),transforms.Normalize(mean=[0.5], std=[0.225])]), model_file=None, num_channels=8, scoring_method='pixel_mean'):
 
                                  
     """ Init method
@@ -91,7 +91,7 @@ class MCDeepPixBiSExtractor(Extractor):
     
     """
    
-    input_image = np.rollaxis(np.rollaxis(image, 2),2) # changes to 128x128xnum_channels
+    input_image = np.rollaxis(np.rollaxis(image, 2),2) # changes to 224x224xnum_channels
     input_image = self.transforms(input_image)
     input_image = input_image.unsqueeze(0)
     
@@ -110,4 +110,4 @@ class MCDeepPixBiSExtractor(Extractor):
 
     # output is a scalar score
 
-    return score
\ No newline at end of file
+    return np.reshape(score,(1,-1))