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ASF GitHub Bot commented on TIKA-2298: -------------------------------------- chrismattmann commented on issue #182: Creation of TIKA-2298 contributed by asmehra95- Import of vgg16 via Deeplearning4j into tika-dl URL: https://github.com/apache/tika/pull/182#issuecomment-324750562 @boegel check out: https://github.com/deeplearning4j/deeplearning4j/blob/master/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/trainedmodels/TrainedModels.java looks like it's a Github URL? ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org > To improve object recognition parser so that it may work without external > RESTful service setup > ----------------------------------------------------------------------------------------------- > > Key: TIKA-2298 > URL: https://issues.apache.org/jira/browse/TIKA-2298 > Project: Tika > Issue Type: Improvement > Components: parser > Affects Versions: 1.14 > Reporter: Avtar Singh > Assignee: Chris A. Mattmann > Labels: ObjectRecognitionParser, gsoc, memex > Fix For: 1.16 > > Original Estimate: 672h > Remaining Estimate: 672h > > When ObjectRecognitionParser was built to do image recognition, there wasn't > good support for Java frameworks. All the popular neural networks were in > C++ or python. Since there was nothing that runs within JVM, we tried > several ways to glue them to Tika (like CLI, JNI, gRPC, REST). > However, this game is changing slowly now. Deeplearning4j, the most famous > neural network library for JVM, now supports importing models that are > pre-trained in python/C++ based kits [5]. > *Improvement:* > It will be nice to have an implementation of ObjectRecogniser that > doesn't require any external setup(like installation of native libraries or > starting REST services). Reasons: easy to distribute and also to cut the IO > time. -- This message was sent by Atlassian JIRA (v6.4.14#64029)