Github user MrBago commented on a diff in the pull request:
https://github.com/apache/spark/pull/20168#discussion_r160267784
--- Diff: mllib/src/main/scala/org/apache/spark/ml/image/ImageSchema.scala
---
@@ -37,20 +37,51 @@ import org.apache.spark.sql.types._
@Since("2.3.0")
object ImageSchema {
- val undefinedImageType = "Undefined"
-
/**
- * (Scala-specific) OpenCV type mapping supported
+ * OpenCv type representation
+ * @param mode ordinal for the type
+ * @param dataType open cv data type
+ * @param nChannels number of color channels
*/
- val ocvTypes: Map[String, Int] = Map(
- undefinedImageType -> -1,
- "CV_8U" -> 0, "CV_8UC1" -> 0, "CV_8UC3" -> 16, "CV_8UC4" -> 24
- )
+ case class OpenCvType(mode: Int, dataType: String, nChannels: Int) {
+ def name: String = "CV_" + dataType + "C" + nChannels
+ override def toString: String = "OpenCvType(mode = " + mode + ", name
= " + name + ")"
+ }
+
+ object OpenCvType {
+ def get(name: String): OpenCvType = {
+ ocvTypes.find(x => x.name == name).getOrElse(
+ throw new IllegalArgumentException("Unknown open cv type " + name))
+ }
+ def get(mode: Int): OpenCvType = {
+ ocvTypes.find(x => x.mode == mode).getOrElse(
+ throw new IllegalArgumentException("Unknown open cv mode " + mode))
+ }
+ val undefinedType = OpenCvType(-1, "N/A", -1)
+ }
/**
- * (Java-specific) OpenCV type mapping supported
+ * A Mapping of Type to Numbers in OpenCV
+ *
+ * C1 C2 C3 C4
+ * CV_8U 0 8 16 24
+ * CV_8S 1 9 17 25
+ * CV_16U 2 10 18 26
+ * CV_16S 3 11 19 27
+ * CV_32S 4 12 20 28
+ * CV_32F 5 13 21 29
+ * CV_64F 6 14 22 30
*/
- val javaOcvTypes: java.util.Map[String, Int] = ocvTypes.asJava
+ val ocvTypes = {
+ val types =
+ for (nc <- Array(1, 2, 3, 4);
+ dt <- Array("8U", "8S", "16U", "16S", "32S", "32F", "64F"))
+ yield (dt, nc)
+ val ordinals = for (i <- 0 to 3; j <- 0 to 6) yield ( i * 8 + j)
+ OpenCvType.undefinedType +: (ordinals zip types).map(x =>
OpenCvType(x._1, x._2._1, x._2._2))
+ }
+
+ val javaOcvTypes = ocvTypes.asJava
--- End diff --
explicit type.
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