[ https://issues.apache.org/jira/browse/TIKA-2298?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16075786#comment-16075786 ]
Hudson commented on TIKA-2298: ------------------------------ FAILURE: Integrated in Jenkins build Tika-trunk #1310 (See [https://builds.apache.org/job/Tika-trunk/1310/]) TIKA-2298: DL4J-VGG16 simplify conf, implementation (thammegowda: [https://github.com/apache/tika/commit/c476ec14efe2d9007f461ecf09ccd2ade4ffc197]) * (edit) tika-dl/src/test/resources/org/apache/tika/dl/imagerec/dl4j-vgg16-config.xml * (edit) tika-dl/src/main/java/org/apache/tika/dl/imagerec/DL4JVGG16Net.java Record change for TIKA-2298: Very Deep Convolutional Networks for (mattmann: [https://github.com/apache/tika/commit/b58cfcf1935d138065eb4a090ba4c1fef17ddacd]) * (edit) CHANGES.txt TIKA-2298 -- skip test if no network connectivity. Should rework for (tallison: [https://github.com/apache/tika/commit/158675def02810d116e7cdab8409c121a88e77eb]) * (edit) tika-dl/src/test/java/org/apache/tika/dl/imagerec/DL4JVGG16NetTest.java > 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)