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Chris A. Mattmann updated TIKA-2298: ------------------------------------ Fix Version/s: (was: 1.15) 1.16 > 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 > Labels: ObjectRecognitionParser > 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 (v6.3.15#6346)