[jira] [Commented] (TIKA-1993) Image Recognition with Tika

["ASF GitHub Bot (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/TIKA-1993?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15906567#comment-15906567 ] 

ASF GitHub Bot commented on TIKA-1993:
--------------------------------------

kkrgithub commented on issue #125: TIKA-1993: ObjectRecognitionParser + Tensorflow image recognition with Inception-V3 model as default implementation
URL: https://github.com/apache/tika/pull/125#issuecomment-285954307
 
 
   Hi Mr @thammegowda & Mr @chrismattmann 
      I am a student looking to participate in GSOC2017 . So I would like to  contributing to your reported project @Supporting Image-to-Text (Image Captioning) in Tika for Image MIME Types .
   As far as I understood in this present thread you discussed about improving this module through usage of c++ api for tensorflow , so i am wondering should I do that(improvement) to get started for the actual project .
   If  gRPC is enough , should I consider fixing any bugs in deeplearning4j . I have gone through all the resources you have quoted at the "apache Gsoc2017 ideas " site and I completed the quick start tutorial on deeplearning4j.
   So please help me to get on further on this .
   
   Thanks and Regards
   M kranthi kumar reddy
   student @IIIT Gwalior India. 
    
 
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> Image Recognition with Tika 
> ----------------------------
>
>                 Key: TIKA-1993
>                 URL: https://issues.apache.org/jira/browse/TIKA-1993
>             Project: Tika
>          Issue Type: New Feature
>          Components: parser
>            Reporter: Thamme Gowda
>            Assignee: Chris A. Mattmann
>             Fix For: 1.14
>
>
> Create "ImageRecognitionParser" which can have pluggable implementation for core recognition logic.
> As the name suggests, this parser should detect objects in the images, and support many implementations + models (similar to what NamedEntityParser did for text).
> Supply a default implementation based on Tensorflow with the current state-of-the-art model \[1\].
> Links:
> \[1\] https://www.tensorflow.org/versions/r0.8/tutorials/image_recognition/index.html#usage-with-python-api



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