class_docstr: Class for using optimization to acquire feature grid.
class_docstr_tok: ["Class","for","using","optimization","to","acquire","feature","grid","."]
code: def _load_params(self, ckpt_dir):
      param_file = os.path.join(ckpt_dir, "params.txt")
      params = evaluator.parse_param_file(param_file)
      return params
  
imports: import os
  import numpy
  from skimage import measure
  import tensorflow.compat.v1
  from tensorflow_graphics.projects.local_implicit_grid.core import evaluator
  from tensorflow_graphics.projects.local_implicit_grid.core import local_implicit_grid_layer
  from tensorflow_graphics.projects.local_implicit_grid.core import point_utils
label_desc: Use image node_id 2 for calling the LIGOptimizer obj's underlying member method code with example usage: obj._load_params(ckpt_dir) and returns: params