I m sry there are some errors with parameter passing but rest of code is working, i will soon resolve it. Thank you Avtar Singh
On 23 March 2017 at 00:10, Avtar Singh Mehra <[email protected]> wrote: > Thank you TG, > the problem seemed to be with the helper functions of the dl4j, however i > have tried to import the model without the helper function and it imported > perfectly and i have received pretty good results. I have saved the > serialized model so as to improve resource usage of for running the model. > We can either provide this serialized model or one time load the function > and save the model. i am trying later approach because saved models take > huge amount of memory to store.(around 500mb for 53 mb model). I have yet > tested only with VGG16NoTop model (and still testing.) but still there is a > problem with helper functions. I will soon resolve the issue and put a pull > request for it. > This is what i have been working on: > https://github.com/asmehra95/tika/blob/master/tika-parsers/ > src/main/java/org/apache/tika/parser/recognition/dl4j/ > DL4JImageRecogniser.java > > On 21 March 2017 at 22:05, Thamme Gowda (JIRA) <[email protected]> wrote: > >> >> [ https://issues.apache.org/jira/browse/TIKA-2298?page=com. >> atlassian.jira.plugin.system.issuetabpanels:comment-tabpane >> l&focusedCommentId=15934847#comment-15934847 ] >> >> Thamme Gowda commented on TIKA-2298: >> ------------------------------------ >> >> [~asmehra95] >> Please share a link to your code, I will have a look on this! >> >> Could you also refer to my example code at https://github.com/USCDataScie >> nce/dl4j-kerasimport-examples/tree/master/dl4j-import-example and see >> what flags to pass to the importer (especially flags to disable further >> training)? >> >> PR to that repo with your VGG16 example would be greatly appreciated! >> >> > 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: 1.15 >> > >> > 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) >> > >
