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https://issues.apache.org/jira/browse/BEAM-9146?focusedWorklogId=382185&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-382185
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ASF GitHub Bot logged work on BEAM-9146:
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Author: ASF GitHub Bot
Created on: 05/Feb/20 10:40
Start Date: 05/Feb/20 10:40
Worklog Time Spent: 10m
Work Description: kamilwu commented on issue #10764: [BEAM-9146]
Integrate GCP Video Intelligence functionality for Python SDK
URL: https://github.com/apache/beam/pull/10764#issuecomment-582346491
Thanks @EDjur.
`tfx_bsl` seems to be useful only in some cases. One of these cases is [AI
Platform
Prediction](https://cloud.google.com/ai-platform/prediction/docs/overview),
which, by the way, we also would like to support in Beam in the nearest future.
Video Intelligence API is pretty much different. We should treat it as a
fully-managed machine learning service. There is no machine learning model
which could be trained and deployed. Instead, videos are annotated using
pre-trained custom model provided by Google. All a user has to do is to enable
API and make a request (using REST API or client library). The only input is a
GCS path to a video file. As a result, there is little behavior that could be
shared.
If you have any questions regarding tfx_bsl and how it connects with Beam,
just let me know, as I'm currently working to provide support for remote
inference (an ability to call into services) in tfx_bsl.
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Issue Time Tracking
-------------------
Worklog Id: (was: 382185)
Time Spent: 1h 10m (was: 1h)
> [Python] PTransform that integrates Video Intelligence functionality
> --------------------------------------------------------------------
>
> Key: BEAM-9146
> URL: https://issues.apache.org/jira/browse/BEAM-9146
> Project: Beam
> Issue Type: Sub-task
> Components: io-py-gcp
> Reporter: Kamil Wasilewski
> Assignee: Kamil Wasilewski
> Priority: Major
> Time Spent: 1h 10m
> Remaining Estimate: 0h
>
> The goal is to create a PTransform that integrates Google Cloud Video
> Intelligence functionality [1].
> The transform should be able to take both video GCS location or video data
> bytes as an input.
> The transform should be put into _sdks/python/apache_beam/io/gcp/ai_ folder.
> [1] https://cloud.google.com/video-intelligence/
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