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

    https://github.com/apache/spark/pull/19439#discussion_r150161698
  
    --- Diff: mllib/src/main/scala/org/apache/spark/ml/image/ImageSchema.scala 
---
    @@ -0,0 +1,236 @@
    +/*
    + * 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.
    + */
    +
    +package org.apache.spark.ml.image
    +
    +import java.awt.Color
    +import java.awt.color.ColorSpace
    +import java.io.ByteArrayInputStream
    +import javax.imageio.ImageIO
    +
    +import scala.collection.JavaConverters._
    +
    +import org.apache.spark.annotation.{Experimental, Since}
    +import org.apache.spark.input.PortableDataStream
    +import org.apache.spark.sql.{DataFrame, Row, SparkSession}
    +import org.apache.spark.sql.types._
    +
    +@Experimental
    +@Since("2.3.0")
    +object ImageSchema {
    +
    +  val undefinedImageType = "Undefined"
    +
    +  val imageFields: Array[String] = Array("origin", "height", "width", 
"nChannels", "mode", "data")
    +
    +  val ocvTypes: Map[String, Int] = Map(
    +    undefinedImageType -> -1,
    +    "CV_8U" -> 0, "CV_8UC1" -> 0, "CV_8UC3" -> 16, "CV_8UC4" -> 24
    +  )
    +
    +  /**
    +   * Used for conversion to python
    +   */
    +  val _ocvTypes: java.util.Map[String, Int] = ocvTypes.asJava
    +
    +  /**
    +   * Schema for the image column: Row(String, Int, Int, Int, Int, 
Array[Byte])
    +   */
    +  val columnSchema = StructType(
    --- End diff --
    
    good idea, done


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