[
https://issues.apache.org/jira/browse/TIKA-2322?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15988207#comment-15988207
]
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-297907725
OK I was able to build your latest Docker @smadha from
https://github.com/apache/tika/pull/168/commits/434736be63373e8caa85fd8c9bd117e6edbec555
https://github.com/apache/tika/pull/168/commits/58a116c2123d9c01ba054969121244364059c0d2
and and found the following:
== Running the Tika App Client Command
```
LMC-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
WARN Status = HTTP/1.0 500 INTERNAL SERVER ERROR
WARN Response = <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 3.2 Final//EN">
<title>500 Internal Server Error</title>
<h1>Internal Server Error</h1>
<p>The server encountered an internal error and was unable to complete your
request. Either the server is overloaded or there is an error in the
application.</p>
WARN NO objects
LMC-053601:smadha-tika mattmann$
```
== Results (from Tensorflow Video Docker Server)
```
* Running on http://0.0.0.0:8764/ (Press CTRL+C to quit)
10.0.2.2 - - [28/Apr/2017 05:01:26] "GET /inception/v4/ping HTTP/1.1" 200 -
[2017-04-28 05:01:26,287] ERROR in app: Exception on
/inception/v4/classify/video [POST]
Traceback (most recent call last):
File "/opt/conda/lib/python2.7/site-packages/flask/app.py", line 1982, in
wsgi_app
response = self.full_dispatch_request()
File "/opt/conda/lib/python2.7/site-packages/flask/app.py", line 1614, in
full_dispatch_request
rv = self.handle_user_exception(e)
File "/opt/conda/lib/python2.7/site-packages/flask/app.py", line 1517, in
handle_user_exception
reraise(exc_type, exc_value, tb)
File "/opt/conda/lib/python2.7/site-packages/flask/app.py", line 1612, in
full_dispatch_request
rv = self.dispatch_request()
File "/opt/conda/lib/python2.7/site-packages/flask/app.py", line 1598, in
dispatch_request
return self.view_functions[rule.endpoint](**req.view_args)
File "/usr/bin/inceptionapi.py", line 489, in classify_video
classids, classnames, confidence = zip(*classes)
ValueError: need more than 0 values to unpack
10.0.2.2 - - [28/Apr/2017 05:01:26] "POST
/inception/v4/classify/video?mode=fixed&ext=.mp4 HTTP/1.1" 500
```
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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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