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https://issues.apache.org/jira/browse/TIKA-2306?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15968947#comment-15968947
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ASF GitHub Bot commented on TIKA-2306:
--------------------------------------
KranthiGV commented on issue #163: TIKA-2306: Update Inception v3 to Inception
v4 in Object recognition parser
URL: https://github.com/apache/tika/pull/163#issuecomment-294143638
@thammegowda
I have made the necessary changes at Reduced disk I/O commit
(https://github.com/apache/tika/pull/163/commits/db8c81410b8468e1a524ed2dbb28abc7154fb11d)
The performance is compared by running it 50 times on an image.
```
script.sh:
n=0; while [[ $n -lt 50 ]]; do java -jar
tika-app/target/tika-app-1.15-SNAPSHOT.jar
--config=tika-parsers/src/test/resources/org/apache/tika/parser/recognition/tika-config-tflow-rest.xml
http://www.trbimg.com/img-57226a08/turbine/ct-tesla-model-3-unveiling-20160404/650/650x366;
n=$((n+1)); done
time ./script.sh
```
Before changes:
`real 4m33.334s`
After changes:
`real 1m0.736s`
TODO after merging:
1) Update the inceptionapi.py link to Apache's repo link.
2) Document the usage in Wiki.
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> Update Inception v3 to Inception v4 in Object recognition parser
> -----------------------------------------------------------------
>
> Key: TIKA-2306
> URL: https://issues.apache.org/jira/browse/TIKA-2306
> Project: Tika
> Issue Type: Improvement
> Components: parser
> Affects Versions: 1.14
> Reporter: Kranthi Kiran GV
> Priority: Minor
> Labels: inception, object_recognition
> Original Estimate: 72h
> Remaining Estimate: 72h
>
> Object Recognition Parser currently uses Inception V3 model for the object
> classification task. Google released a newer Inception V4 model [1][2].
> It has an improved Top -1 accuracy of 80.2 and Top-5 accuracy of 95.2 [3].
> I believe that Tika community would benefit from it. I would be working on
> this issue in the next few days.
> [1] https://research.googleblog.com/2016/08/improving-inception-and-image.html
> [2] https://arxiv.org/abs/1602.07261
> [3] https://github.com/tensorflow/models/tree/master/slim
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