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https://issues.apache.org/jira/browse/BEAM-9247?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17035156#comment-17035156
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Elias Djurfeldt commented on BEAM-9247:
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I realise after some more thinking that the logic for `image_context` is
probably the same as for `video_context` for the videointelligenceml
PTransform.
[https://github.com/apache/beam/pull/10764/files#diff-069a81f5184d053ea32dd1558d4ee67bR92]
So either we
1. Assume all videos/images in the same PCollection have the same
video_context/image_context.
or
2. Let the user specify 1 unique video_context/image_context per element in the
PCollection.
What are your thoughts [~kamilwu]?
> [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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