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https://issues.apache.org/jira/browse/BEAM-9247?focusedWorklogId=392376&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-392376
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ASF GitHub Bot logged work on BEAM-9247:
----------------------------------------
Author: ASF GitHub Bot
Created on: 25/Feb/20 08:36
Start Date: 25/Feb/20 08:36
Worklog Time Spent: 10m
Work Description: EDjur commented on pull request #10959: [BEAM-9247]
Integrate GCP Vision API functionality
URL: https://github.com/apache/beam/pull/10959
This PR refers to https://issues.apache.org/jira/browse/BEAM-9247: [Python]
PTransform that integrates Cloud Vision functionality.
Small comments:
The synchronous annotation is very similar to the videointelligence
implementation.
I opted to only support async (offline) batch annotation:
* Synchronous batch annotation only supports batching <=5 elements at a
time, so is not very useful (https://cloud.google.com/vision/docs/batch).
* Synchronous batch annotation also doesn't make a lot of sense for Beam, as
the CPU/workers would just sit around and wait until a response is received
from the Vision API, which seems inefficient.
I'm still working on a few kinks and issues with the batch annotation as
well as making sure all tests run properly, so consider this a draft PR for now.
------------------------
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Issue Time Tracking
-------------------
Worklog Id: (was: 392376)
Remaining Estimate: 0h
Time Spent: 10m
> [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: 10m
> 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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