Exception resolution: error of not finding edu.stanford.nlp.semgraph.semgrex.semgrexpattern in cococaption package

Preface

Subtitle in video 、 Image caption task , A dependency package that must be used is coco-caption. The main function of this dependency is to evaluate the accuracy of the description generated by the model , among spice.py In file , An error will be reported when executing the following command ：

java -jar -Xmx8G spice-1.0.jar coco-caption/pycocoevalcap/spice/tmp/tmp1wdsxtug -out coco-caption/pycocoevalcap/spice/tmp/tmpkj4h9o4j -subset -silent

abnormal

Java abnormal

Exception in thread "main" java.lang.NoClassDefFoundError: edu/stanford/nlp/semgraph/semgrex/SemgrexPattern
        at edu.anu.spice.SpiceParser.<clinit>(SpiceParser.java:64)
        at edu.anu.spice.SpiceScorer.scoreBatch(SpiceScorer.java:70)
        at edu.anu.spice.SpiceScorer.main(SpiceScorer.java:60)
Caused by: java.lang.ClassNotFoundException: edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
        at java.net.URLClassLoader.findClass(URLClassLoader.java:387)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
        at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:355)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:351)

spice error

raise CalledProcessError(retcode, cmd)
subprocess.CalledProcessError: Command '['/home/ubuntu/jdk1.8.0_333/bin/java', '-jar', '-Xmx8G', 'spice-1.0.jar', '/home/chenzw/code/SMAN/coco-caption/pycocoevalcap/spice/tmp/tmp98_yx34s', '-cache', '/home/chenzw/code/SMAN/coco-caption/pycocoevalcap/spice/cache/1658759575.7687752', '-out', '/home/chenzw/code/SMAN/coco-caption/pycocoevalcap/spice/tmp/tmpicxj0dmv', '-subset', '-silent']' returned non-zero exit status 1.
Terminating BlobFetcher

resolvent

perform coco-caption Project directory get_stanford_models.sh File can .

bash get_stanford_models.sh

The specific process of this document is actually Download the package we lack . Its content is ：

#!/usr/bin/env sh
# This script downloads the Stanford CoreNLP models.

CORENLP=stanford-corenlp-full-2015-12-09
SPICELIB=pycocoevalcap/spice/lib
JAR=stanford-corenlp-3.6.0

DIR="$( cd "$(dirname "$0")" ; pwd -P )" cd $DIR if [ -f $SPICELIB/$JAR.jar ]; then echo "Found Stanford CoreNLP." else echo "Downloading..." wget http://nlp.stanford.edu/software/$CORENLP.zip echo "Unzipping..." unzip $CORENLP.zip -d $SPICELIB/ mv $SPICELIB/$CORENLP/$JAR.jar $SPICELIB/ mv $SPICELIB/$CORENLP/$JAR-models.jar $SPICELIB/ rm -f $CORENLP.zip rm -rf $SPICELIB/$CORENLP/ echo "Done."
fi

Perfect solution .
The end And the flower ！