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https://issues.apache.org/jira/browse/SPARK-23255?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16402052#comment-16402052
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Wesley Hoffman commented on SPARK-23255:
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Formal documentation for this feature would be wonderful as currently I've only
found a [Microsoft blog post
|https://blogs.technet.microsoft.com/machinelearning/2018/03/05/image-data-support-in-apache-spark/]about
the subject. There are issues between using ImageSchema from sparkdl and from
\{{spark.ml.image.imageSchema. }}Perhaps it is due to version mismatch between
sparkdl for 2.2 and 2.3 which wouldn't include [spark-deep-learning PR-85
|https://github.com/databricks/spark-deep-learning/pull/85]. But documentation
would clear this right up!
If anyone from Databricks or Microsoft reads this before March 22, this is
relevant for a talk at the Microsoft/Databricks hackathon so that may cause
more traffic to this new feature.
> Add user guide and examples for DataFrame image reading functions
> -----------------------------------------------------------------
>
> Key: SPARK-23255
> URL: https://issues.apache.org/jira/browse/SPARK-23255
> Project: Spark
> Issue Type: Documentation
> Components: ML, PySpark
> Affects Versions: 2.3.0
> Reporter: Nick Pentreath
> Priority: Minor
>
> SPARK-21866 added built-in support for reading image data into a DataFrame.
> This new functionality should be documented in the user guide, with example
> usage.
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