Github user MrBago commented on a diff in the pull request:
https://github.com/apache/spark/pull/19439#discussion_r145501280
--- Diff: mllib/src/main/scala/org/apache/spark/ml/image/ImageSchema.scala
---
@@ -0,0 +1,255 @@
+/*
+ * 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 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("origin", "height", "width", "nChannels",
"mode", "data")
+
+ val ocvTypes = Map(
+ undefinedImageType -> -1,
+ "CV_8U" -> 0, "CV_8UC1" -> 0, "CV_8UC2" -> 8, "CV_8UC3" -> 16,
"CV_8UC4" -> 24,
+ "CV_8S" -> 1, "CV_8SC1" -> 1, "CV_8SC2" -> 9, "CV_8SC3" -> 17,
"CV_8SC4" -> 25,
+ "CV_16U" -> 2, "CV_16UC1" -> 2, "CV_16UC2" -> 10, "CV_16UC3" -> 18,
"CV_16UC4" -> 26,
+ "CV_16S" -> 3, "CV_16SC1" -> 3, "CV_16SC2" -> 11, "CV_16SC3" -> 19,
"CV_16SC4" -> 27,
+ "CV_32S" -> 4, "CV_32SC1" -> 4, "CV_32SC2" -> 12, "CV_32SC3" -> 20,
"CV_32SC4" -> 28,
+ "CV_32F" -> 5, "CV_32FC1" -> 5, "CV_32FC2" -> 13, "CV_32FC3" -> 21,
"CV_32FC4" -> 29,
+ "CV_64F" -> 6, "CV_64FC1" -> 6, "CV_64FC2" -> 14, "CV_64FC3" -> 22,
"CV_64FC4" -> 30
+ )
+
+ /**
+ * Schema for the image column: Row(String, Int, Int, Int, Array[Byte])
+ */
+ private val columnSchema = StructType(
--- End diff --
I think we should make this public, I've been working on some code that
creates dataframes of images and it's really useful to have direct access to
this schema. Also the intention here is to encourage the community to
standardize on this representation so I think we should explicitly make it use
to use this schema.
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