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https://issues.apache.org/jira/browse/BEAM-9247?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17032407#comment-17032407
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Elias Djurfeldt commented on BEAM-9247:
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Got a question regarding the input. For every image (element), you can also
provide `image_context` as seen here
[https://google-cloud-python.readthedocs.io/en/0.32.0/vision/gapic/v1/types.html#google.cloud.vision_v1.types.AnnotateImageRequest]
I think it's safe to assume that we can keep `features` static over the entire
PCollection, but the image_context might be unique for every image. Should the
input element therefore be a `Tuple[image, image_context]`? Or do we assume
that the context also stays static throughout a PCollection.
> [Python] PTransform that integrates Cloud Vision functionality
> --------------------------------------------------------------
>
> Key: BEAM-9247
> URL: https://issues.apache.org/jira/browse/BEAM-9247
> Project: Beam
> Issue Type: Sub-task
> Components: io-py-gcp
> Reporter: Kamil Wasilewski
> Assignee: Elias Djurfeldt
> Priority: Major
>
> The goal is to create a PTransform that integrates Google Cloud Vision API
> functionality [1].
> [1] https://cloud.google.com/vision/docs/
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