Class

org.apache.spark.ml.source.image

ImageDataSource

Related Doc: package image

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class ImageDataSource extends AnyRef

image package implements Spark SQL data source API for loading image data as DataFrame. It can load compressed image (jpeg, png, etc.) into raw image representation via ImageIO in Java library. The loaded DataFrame has one StructType column: image, containing image data stored as image schema. The schema of the image column is:

To use image data source, you need to set "image" as the format in DataFrameReader and optionally specify the data source options, for example:

// Scala
val df = spark.read.format("image")
  .option("dropInvalid", true)
  .load("data/mllib/images/partitioned")

// Java
Dataset<Row> df = spark.read().format("image")
  .option("dropInvalid", true)
  .load("data/mllib/images/partitioned");

Image data source supports the following options:

Source
ImageDataSource.scala
Note

This class is public for documentation purpose. Please don't use this class directly. Rather, use the data source API as illustrated above.

,

This IMAGE data source does not support saving images to files.

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