Github user imatiach-msft commented on a diff in the pull request: https://github.com/apache/spark/pull/19439#discussion_r148541487 --- 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( + StructField(imageFields(0), StringType, true) :: + StructField(imageFields(1), IntegerType, false) :: + StructField(imageFields(2), IntegerType, false) :: + StructField(imageFields(3), IntegerType, false) :: + // OpenCV-compatible type: CV_8UC3 in most cases + StructField(imageFields(4), IntegerType, false) :: + // Bytes in OpenCV-compatible order: row-wise BGR in most cases + StructField(imageFields(5), BinaryType, false) :: Nil) + + /** + * DataFrame with a single column of images named "image" (nullable) + */ + val imageSchema = StructType(StructField("image", columnSchema, true) :: Nil) + + /** + * :: Experimental :: + * Gets the origin of the image + * + * @return The origin of the image + */ + def getOrigin(row: Row): String = row.getString(0) --- End diff -- @HyukjinKwon @dakirsa agree, it would be nice to add them to python API as well eventually
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