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https://issues.apache.org/jira/browse/TIKA-2298?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16058438#comment-16058438
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ASF GitHub Bot commented on TIKA-2298:
--------------------------------------
thammegowda commented on a change in pull request #182: Creation of TIKA-2298
contributed by asmehra95- Import of vgg16 via Deeplearning4j into tika-dl
URL: https://github.com/apache/tika/pull/182#discussion_r123379000
##########
File path:
tika-dl/src/test/resources/org/apache/tika/dl/imagerec/dl4j-vgg16-config.xml
##########
@@ -0,0 +1,32 @@
+<?xml version="1.0" encoding="UTF-8"?>
+
+<!--
+ ~ Licensed to the Apache Software Foundation (ASF) under one or more
+ ~ contributor license agreements. See the NOTICE file distributed with
+ ~ this work for additional information regarding copyright ownership.
+ ~ The ASF licenses this file to You under the Apache License, Version 2.0
+ ~ (the "License"); you may not use this file except in compliance with
+ ~ the License. You may obtain a copy of the License at
+ ~
+ ~ http://www.apache.org/licenses/LICENSE-2.0
+ ~
+ ~ Unless required by applicable law or agreed to in writing, software
+ ~ distributed under the License is distributed on an "AS IS" BASIS,
+ ~ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ ~ See the License for the specific language governing permissions and
+ ~ limitations under the License.
+ -->
+<properties>
+ <parsers>
+ <parser
class="org.apache.tika.parser.recognition.ObjectRecognitionParser">
+ <mime>image/jpeg</mime>
+ <params>
+ <param name="topN" type="int">2</param>
+ <param name="minConfidence" type="double">0.015</param>
+ <param name="class"
type="string">org.apache.tika.dl.imagerec.DL4JVGG16Net</param>
+ <param name="modelType"
type="string">VGG16</param>
+ <param name="serialize"
type="string">yes</param>
Review comment:
Lets make it
```xml
<param name="serialize" type="bool">true</param>
```
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> 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.
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