Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/20168#discussion_r161664806
--- Diff: mllib/src/main/scala/org/apache/spark/ml/image/ImageSchema.scala
---
@@ -37,20 +37,67 @@ import org.apache.spark.sql.types._
@Since("2.3.0")
object ImageSchema {
- val undefinedImageType = "Undefined"
+ /**
+ * OpenCv type representation
+ *
+ * @param mode ordinal for the type
+ * @param dataType open cv data type
+ * @param nChannels number of color channels
+ */
+ case class OpenCvType(mode: Int, dataType: String, nChannels: Int) {
+ def name: String = if (mode == -1) { "Undefined" } else {
s"CV_$dataType" + s"C$nChannels" }
+ override def toString: String = s"OpenCvType(mode = $mode, name =
$name)"
+ }
/**
- * (Scala-specific) OpenCV type mapping supported
+ * Return the supported OpenCvType with matching name or raise error if
there is no matching type.
+ *
+ * @param name: name of existing OpenCvType
+ * @return OpenCvType that matches the given name
*/
- val ocvTypes: Map[String, Int] = Map(
- undefinedImageType -> -1,
- "CV_8U" -> 0, "CV_8UC1" -> 0, "CV_8UC3" -> 16, "CV_8UC4" -> 24
- )
+ def ocvTypeByName(name: String): OpenCvType = {
+ ocvTypes.find(x => x.name == name).getOrElse(
+ throw new IllegalArgumentException("Unknown open cv type " + name))
+ }
+
+ /**
+ * Return the supported OpenCvType with matching mode or raise error if
there is no matching type.
+ *
+ * @param mode: mode of existing OpenCvType
+ * @return OpenCvType that matches the given mode
+ */
+ def ocvTypeByMode(mode: Int): OpenCvType = {
--- End diff --
`getOcvTypeByMode` or `findOcvTypeByMode`?
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