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https://issues.apache.org/jira/browse/BEAM-9247?focusedWorklogId=392549&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-392549
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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 13:31
Start Date: 25/Feb/20 13:31
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-590867589
> If you think that batches of <=5 items are useful, then perhaps we should
go with sync (online) batch annotation rather than async.
I don't see any obstacles.
Also take a look at `BatchElements` built-in PTransform (to be found at
`sdks/python/apache_beam/transforms/util.py`), which could be useful in our
case. This transform consumes a PCollection of element type T and produces a
PCollection of type List[T]. The maximum size of the list can be configured by
setting a `max_batch_size` parameter. This would speed things up a bit: it's
much better to send one request with 5 files than 5 separate requests.
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Issue Time Tracking
-------------------
Worklog Id: (was: 392549)
Time Spent: 2h 40m (was: 2.5h)
> [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: 2h 40m
> 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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