[
https://issues.apache.org/jira/browse/TIKA-2322?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15986022#comment-15986022
]
ASF GitHub Bot commented on TIKA-2322:
--------------------------------------
chrismattmann commented on issue #168: fix for TIKA-2322 contributed by
[email protected]
URL: https://github.com/apache/tika/pull/168#issuecomment-297613477
So, the URLs were old in the config. I updated them to the v4, URLs, like so:
```diff
diff --git
a/tika-parsers/src/test/resources/org/apache/tika/parser/recognition/tika-config-tflow-video-rest.xml
b/tika-parsers/src/test/resources/org/apache/tika/parser/recognition/tika-config-tflow-video-rest.xml
index f8037a7..c6c50ed 100644
---
a/tika-parsers/src/test/resources/org/apache/tika/parser/recognition/tika-config-tflow-video-rest.xml
+++
b/tika-parsers/src/test/resources/org/apache/tika/parser/recognition/tika-config-tflow-video-rest.xml
@@ -24,8 +24,8 @@
<param name="topN" type="int">4</param>
<param name="minConfidence" type="double">0.015</param>
<param name="class"
type="string">org.apache.tika.parser.recognition.tf.TensorflowRESTVideoRecogniser</param>
- <param name="healthUri"
type="uri">http://localhost:8764/inception/v3/ping</param>
- <param name="apiUri"
type="uri">http://localhost:8764/inception/v3/classify/video?mode=fixed</param>
+ <param name="healthUri"
type="uri">http://localhost:8764/inception/v4/ping</param>
+ <param name="apiUri"
type="uri">http://localhost:8764/inception/v4/classify/video?mode=fixed</param>
</params>
</parser>
</parsers>
```
Still broke:
```
MC-053601:smadha-tika mattmann$ 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-video-rest.xml
./tika-parsers/src/test/resources/test-documents/testVideoMp4.mp4
WARN JBIG2ImageReader not loaded. jbig2 files will be ignored
INFO Available = true, API Status = HTTP/1.0 200 OK
INFO minConfidence = 0.015, topN=4
INFO Recogniser =
org.apache.tika.parser.recognition.tf.TensorflowRESTVideoRecogniser
INFO Recogniser Available = true
INFO I/O exception (java.net.SocketException) caught when processing
request: Broken pipe
INFO Retrying request
INFO I/O exception (java.net.SocketException) caught when processing
request: Broken pipe
INFO Retrying request
INFO I/O exception (java.net.SocketException) caught when processing
request: Broken pipe
INFO Retrying request
WARN Broken pipe
java.net.SocketException: Broken pipe
at java.net.SocketOutputStream.socketWrite0(Native Method)
at java.net.SocketOutputStream.socketWrite(SocketOutputStream.java:109)
at java.net.SocketOutputStream.write(SocketOutputStream.java:153)
at
org.apache.http.impl.io.AbstractSessionOutputBuffer.write(AbstractSessionOutputBuffer.java:169)
at
org.apache.http.impl.io.ContentLengthOutputStream.write(ContentLengthOutputStream.java:119)
at
org.apache.http.entity.ByteArrayEntity.writeTo(ByteArrayEntity.java:115)
at
org.apache.http.entity.HttpEntityWrapper.writeTo(HttpEntityWrapper.java:98)
at
org.apache.http.impl.client.EntityEnclosingRequestWrapper$EntityWrapper.writeTo(EntityEnclosingRequestWrapper.java:108)
at
org.apache.http.impl.entity.EntitySerializer.serialize(EntitySerializer.java:122)
at
org.apache.http.impl.AbstractHttpClientConnection.sendRequestEntity(AbstractHttpClientConnection.java:271)
at
org.apache.http.impl.conn.ManagedClientConnectionImpl.sendRequestEntity(ManagedClientConnectionImpl.java:197)
at
org.apache.http.protocol.HttpRequestExecutor.doSendRequest(HttpRequestExecutor.java:257)
at
org.apache.http.protocol.HttpRequestExecutor.execute(HttpRequestExecutor.java:125)
at
org.apache.http.impl.client.DefaultRequestDirector.tryExecute(DefaultRequestDirector.java:715)
at
org.apache.http.impl.client.DefaultRequestDirector.execute(DefaultRequestDirector.java:520)
at
org.apache.http.impl.client.AbstractHttpClient.execute(AbstractHttpClient.java:906)
at
org.apache.http.impl.client.AbstractHttpClient.execute(AbstractHttpClient.java:805)
at
org.apache.http.impl.client.AbstractHttpClient.execute(AbstractHttpClient.java:784)
at
org.apache.tika.parser.recognition.tf.TensorflowRESTRecogniser.recognise(TensorflowRESTRecogniser.java:119)
at
org.apache.tika.parser.recognition.ObjectRecognitionParser.parse(ObjectRecognitionParser.java:120)
at
org.apache.tika.parser.ParserDecorator.parse(ParserDecorator.java:188)
at
org.apache.tika.parser.CompositeParser.parse(CompositeParser.java:280)
at
org.apache.tika.parser.CompositeParser.parse(CompositeParser.java:280)
at
org.apache.tika.parser.AutoDetectParser.parse(AutoDetectParser.java:135)
at org.apache.tika.cli.TikaCLI$OutputType.process(TikaCLI.java:189)
at org.apache.tika.cli.TikaCLI.process(TikaCLI.java:481)
at org.apache.tika.cli.TikaCLI.main(TikaCLI.java:143)
WARN NO objects
LMC-053601:smadha-tika mattmann$
```
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> Video labeling using existing ObjectRecognition
> -----------------------------------------------
>
> Key: TIKA-2322
> URL: https://issues.apache.org/jira/browse/TIKA-2322
> Project: Tika
> Issue Type: Improvement
> Components: parser
> Reporter: Madhav Sharan
> Assignee: Chris A. Mattmann
> Labels: memex
> Fix For: 1.15
>
>
> Currently TIKA supports ObjectRecognition in Images. I am proposing to extend
> this to support videos.
> Idea is -
> 1. Extract frames from video and run IncV3 to get labels for these frames.
> 2. We average confidence scores of same labels for each frame.
> 3. Return results in sorted order of confidence score.
> I am writing code for different modes of frame extractions -
> 1. Extract center image.
> 2. Extract frames after every fixed interval.
> 3. Extract N frames equally divided across video.
> We used this approach in [0]. Code in [1]
> [0] https://github.com/USCDataScience/hadoop-pot
> [1] https://github.com/USCDataScience/video-recognition
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