Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/19439
@hhbyyh Thanks for your comments!
> Another option is that to support all bytes[], short[], int[], float[]
and double[] as data storage type candidates, and switch among them according
to CvType
Do you mean add more columns in the `image` struct ? Each type a column ?
And any time there will only be one column not null ? It make schema redundant.
> Not sure about the reason to include "origin" info into the image data.
What about making "origin" as an optional column, i.e, `readImages` add a
param to specify whether to fill "origin" column ?
> Does the wildcard matching still work if recursive == false ?
I think it still works. This is implemented in hadoop code.
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