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From "Denis Davydenko (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MXNET-1292) Benchmark Between Image API and Java Image processing library
Date Mon, 14 Jan 2019 21:11:00 GMT

    [ https://issues.apache.org/jira/browse/MXNET-1292?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16742503#comment-16742503
] 

Denis Davydenko commented on MXNET-1292:
----------------------------------------

There is an effort going on with building preprocessing into model itself (by [~skm@apache.org]).
That project will introduce an opportunity to run preprocessing on GPU. Once that is available
- we will evaluate performance results of such preprocessing as benchmarking of how fast MXNet
can run conversions vs OpenCV.

> Benchmark Between Image API and Java Image processing library
> -------------------------------------------------------------
>
>                 Key: MXNET-1292
>                 URL: https://issues.apache.org/jira/browse/MXNET-1292
>             Project: Apache MXNet
>          Issue Type: Improvement
>          Components: Apache MXNet Java API, Apache MXNet Scala API
>            Reporter: Qing Lan
>            Priority: Minor
>
> Currently we have Image API from OpenCV and Java Image processing library that can both
convert an image from byte array to NDArray. In this case, we need to do a benchmark to compare
the performance of them.
>  # Sequential inputs
>  # Batch inputs



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