Github user imatiach-msft commented on a diff in the pull request:

    https://github.com/apache/spark/pull/19439#discussion_r148034078
  
    --- Diff: python/pyspark/ml/image.py ---
    @@ -0,0 +1,139 @@
    +#
    +# Licensed to the Apache Software Foundation (ASF) under one or more
    +# contributor license agreements.  See the NOTICE file distributed with
    +# this work for additional information regarding copyright ownership.
    +# The ASF licenses this file to You under the Apache License, Version 2.0
    +# (the "License"); you may not use this file except in compliance with
    +# the License.  You may obtain a copy of the License at
    +#
    +#    http://www.apache.org/licenses/LICENSE-2.0
    +#
    +# Unless required by applicable law or agreed to in writing, software
    +# distributed under the License is distributed on an "AS IS" BASIS,
    +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    +# See the License for the specific language governing permissions and
    +# limitations under the License.
    +#
    +
    +from pyspark.ml.util import *
    +from pyspark.ml.param.shared import *
    +from pyspark.sql.types import *
    +from pyspark.sql.types import Row, _create_row
    +from pyspark.sql import DataFrame, SparkSession, SQLContext
    +import numpy as np
    +
    +undefinedImageType = "Undefined"
    +
    +imageFields = ["origin", "height", "width", "nChannels", "mode", "data"]
    +
    +
    +def getOcvTypes(spark=None):
    +    """
    +    Returns the OpenCV type mapping supported
    +
    +    :param sparkSession (SparkSession): The current spark session
    +    :rtype dict: The OpenCV type mapping supported
    +
    +    .. versionadded:: 2.3.0
    +    """
    +    spark = spark or SparkSession.builder.getOrCreate()
    +    ctx = spark.sparkContext
    +    return ctx._jvm.org.apache.spark.ml.image.ImageSchema.ocvTypes
    --- End diff --
    
    nice, I will do the py4j workaround -- I originally had the extra dict on 
python side but then it was recommended to not have duplicate dictionaries 
defined in python and scala side for maintenance, which makes sense


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