docstr: Load an openVINO Estimator.
  
  :param model_path: String. The file path to the OpenVINO IR xml file.
docstr_tok: ["Load","an","openVINO","Estimator",".",":","param","model_path",":","String",".","The","file","path","to","the","OpenVINO","IR","xml","file","."]
code: def from_openvino(*, model_path: str) -> "OpenvinoEstimator":
      """
      Load an openVINO Estimator.
  
      :param model_path: String. The file path to the OpenVINO IR xml file.
      """
      return OpenvinoEstimator(model_path=model_path)
  
imports: import math
  import os.path
  from pyspark.sql import DataFrame
  from pyspark.sql import Row
  from bigdl.orca.data import SparkXShards
  from bigdl.orca.learn.spark_estimator import Estimator
  from bigdl.dllib.utils.common import get_node_and_core_number
  from bigdl.dllib.utils import nest
  from bigdl.dllib.nncontext import init_nncontext
  from bigdl.orca.data.utils import spark_df_to_pd_sparkxshards
  from bigdl.orca.learn.utils import process_xshards_of_pandas_dataframe, add_predict_to_pd_xshards
  from openvino.inference_engine import IECore
  import numpy
  from bigdl.orca.learn.utils import openvino_output_to_sdf
  from bigdl.dllib.utils.log4Error import invalidInputError
  from typing import Dict, List, Optional, Union
label_desc: Use image node_id 1 for calling the Estimator obj's underlying member method code with example usage: obj.from_openvino() and returns: OpenvinoEstimator