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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