docs: def show_slice(data2d, contour2d=None, seeds2d=None):
      """
  
      :param data2d:
      :param contour2d:
      :param seeds2d:
      :return:
      """
  
      import copy as cp
      # Show results
  
      colormap = cp.copy(plt.cm.get_cmap('brg'))
      colormap._init()
      colormap._lut[:1:, 3] = 0
  
      plt.imshow(data2d, cmap='gray', interpolation='none')
      if contour2d is not None:
          plt.contour(contour2d, levels=[0.5, 1.5, 2.5])
      if seeds2d is not None:
          # Show results
          colormap = copy.copy(plt.cm.get_cmap('Paired'))
          # colormap = copy.copy(plt.cm.get_cmap('gist_rainbow'))
          colormap._init()
  
          colormap._lut[0, 3] = 0
  
          tmp0 = copy.copy(colormap._lut[:,0])
          tmp1 = copy.copy(colormap._lut[:,1])
          tmp2 = copy.copy(colormap._lut[:,2])
  
          colormap._lut[:, 0] = sigmoid(tmp0, 0.5, 5)
          colormap._lut[:, 1] = sigmoid(tmp1, 0.5, 5)
          colormap._lut[:, 2] = 0# sigmoid(tmp2, 0.5, 5)
          # seed 4
          colormap._lut[140:220:, 1] = 0.7# sigmoid(tmp2, 0.5, 5)
          colormap._lut[140:220:, 0] = 0.2# sigmoid(tmp2, 0.5, 5)
          # seed 2
          colormap._lut[40:120:, 1] = 1.# sigmoid(tmp2, 0.5, 5)
          colormap._lut[40:120:, 0] = 0.1# sigmoid(tmp2, 0.5, 5)
  
  
          # seed 2
          colormap._lut[120:150:, 0] = 1.# sigmoid(tmp2, 0.5, 5)
          colormap._lut[120:150:, 1] = 0.1# sigmoid(tmp2, 0.5, 5)
  
          # my colors
  
          # colormap._lut[1,:] = [.0,.1,.0,1]
          # colormap._lut[2,:] = [.1,.1,.0,1]
          # colormap._lut[3,:] = [.1,.1,.1,1]
          # colormap._lut[4,:] = [.3,.3,.3,1]
  
          plt.imshow(seeds2d, cmap=colormap, interpolation='none')