parameters: (center_pos, img_shape)
return_statement: return center_map
docstring: Given the position of the person and the size of the input image it
      generates
      a heat-map where a gaissian distribution is fit in the position of the
      person in the image.
docstring_summary: Given the position of the person and the size of the input image it
      generates
      a heat-map where a gaissian distribution is fit in the position of the
      person in the image.
docstring_tokens: Given the position of the person and the size of the input image it generates a heat - map where a gaissian distribution is fit in the position of the person in the image .
function: def generate_center_map(center_pos, img_shape):
      """
      Given the position of the person and the size of the input image it
      generates
      a heat-map where a gaissian distribution is fit in the position of the
      person in the image.
      """
      img_height = img_shape
      img_width = img_shape
      center_map = gaussian_heatmap(
          img_height, img_width, center_pos[1], center_pos[0],
          config.SIGMA_CENTER, config.SIGMA_CENTER)
      return center_map
function_tokens: def generate_center_map ( center_pos , img_shape ) : img_height = img_shape img_width = img_shape center_map = gaussian_heatmap ( img_height , img_width , center_pos [ 1 ] , center_pos [ 0 ] , config . SIGMA_CENTER , config . SIGMA_CENTER ) return center_map