parameters: (self, in_, scale)
docstring: Set the scale of raw features s.t. the input blob = input * scale.
          While Python represents images in [0, 1], certain Caffe models
          like CaffeNet and AlexNet represent images in [0, 255] so the raw_scale
          of these models must be 255.
  
          Parameters
          ----------
          in_ : which input to assign this scale factor
          scale : scale coefficient
docstring_summary: Set the scale of raw features s.t. the input blob = input * scale.
          While Python represents images in [0, 1], certain Caffe models
          like CaffeNet and AlexNet represent images in [0, 255] so the raw_scale
          of these models must be 255.
docstring_tokens: Set the scale of raw features s . t . the input blob = input * scale . While Python represents images in [ 0 1 ] certain Caffe models like CaffeNet and AlexNet represent images in [ 0 255 ] so the raw_scale of these models must be 255 .
function: def set_raw_scale(self, in_, scale):
          """
          Set the scale of raw features s.t. the input blob = input * scale.
          While Python represents images in [0, 1], certain Caffe models
          like CaffeNet and AlexNet represent images in [0, 255] so the raw_scale
          of these models must be 255.
  
          Parameters
          ----------
          in_ : which input to assign this scale factor
          scale : scale coefficient
          """
          self.__check_input(in_)
          self.raw_scale[in_] = scale
function_tokens: def set_raw_scale ( self , in_ , scale ) : self . __check_input ( in_ ) self . raw_scale [ in_ ] = scale