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https://issues.apache.org/jira/browse/BEAM-9247?focusedWorklogId=392515&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-392515
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ASF GitHub Bot logged work on BEAM-9247:
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Author: ASF GitHub Bot
Created on: 25/Feb/20 12:09
Start Date: 25/Feb/20 12:09
Worklog Time Spent: 10m
Work Description: kamilwu commented on issue #10959: [BEAM-9247]
Integrate GCP Vision API functionality
URL: https://github.com/apache/beam/pull/10959#issuecomment-590835668
> Has there been a discussion of whether this (rather specialized) kind of
transform belongs in beam vs. as a separate library built on top of beam?
There's been a discussion on devlist some time ago:
[here](https://lists.apache.org/thread.html/rdc9647d00c4bb173f00ca433a2cdea3efe176aea19e631ab9723a80c%40%3Cdev.beam.apache.org%3E).
General conclusion was that it's fine to put Cloud AI transforms directly into
Beam. Also, we have similar transforms already implemented:
https://github.com/apache/beam/tree/master/sdks/python/apache_beam/ml/gcp
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Issue Time Tracking
-------------------
Worklog Id: (was: 392515)
Time Spent: 1.5h (was: 1h 20m)
> [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
> Time Spent: 1.5h
> Remaining Estimate: 0h
>
> 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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