          
      for detector in dlib_detectors:
          del detector
          
  class TorchBatchNorm2D(keras.engine.topology.Layer):
      def __init__(self, axis=-1, momentum=0.99, epsilon=1e-3, **kwargs):
          super(TorchBatchNorm2D, self).__init__(**kwargs)
          self.supports_masking = True
          self.axis = axis
          self.momentum = momentum
 
</s> remove 
# cmake needs to be installed before compiling dlib.
 </s> add  </s> remove matplotlib
 </s> add matplotlib==2.2.2 </s> remove face-recognition
 </s> add  </s> remove scandir==1.6
h5py==2.7.1
Keras==2.1.2
opencv-python==3.3.0.10
 </s> add scandir==1.7
h5py==2.8.0
Keras==2.2.0
opencv-python==3.4.1.15
class TorchBatchNorm2D(keras.engine.base_layer.Layer):
          
      for detector in dlib_detectors:
          del detector
          
class TorchBatchNorm2D(keras.engine.base_layer.Layer):
      def __init__(self, axis=-1, momentum=0.99, epsilon=1e-3, **kwargs):
          super(TorchBatchNorm2D, self).__init__(**kwargs)
          self.supports_masking = True
          self.axis = axis
          self.momentum = momentum
keep keep keep keep replace keep keep keep keep keep
 Requirements version bump (#431)

This bumps the versions of:

    scandir
    h5py
    Keras
    opencv-python

to their latest vesions.

Virtual Environment will need to be setup again to make use of these. 
lib/FaceLandmarksExtractor/FaceLandmarksExtractor.py