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Posted to commits@tika.apache.org by Apache Wiki <wi...@apache.org> on 2016/10/07 09:38:09 UTC
[Tika Wiki] Update of "PooledTimeSeriesParser" by MadhavSharan
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The "PooledTimeSeriesParser" page has been changed by MadhavSharan:
https://wiki.apache.org/tika/PooledTimeSeriesParser?action=diff&rev1=5&rev2=6
== Install Pooled Time Series ==
- 1. `mkdir -p $HOME/git && cd $HOME/git && git clone https://github.com/chrismattmann/pooled_time_series.git`
+ 1. `mkdir -p $HOME/git && cd $HOME/git && git clone https://github.com/USCDataScience/hadoop-pot.git`
- 2. `cd pooled_time_series && mvn install assembly:assembly`
+ 2. `cd hadoop-pot/hadoop-pot-assembly && mvn install assembly:assembly`
- 3. Follow steps 2, 3 and 4 from [[https://github.com/chrismattmann/pooled_time_series#getting-started|the install guide from Pooled Time Series]] and confirm that `pooled_time_series` installed correctly. Note the [[https://github.com/chrismattmann/pooled_time_series#pre-requisites|pre-requisites from Pooled Time Series]] require you to install OpenCV and set some environment variables.
+ 3. Follow steps 3, 4 and 5 from [[https://github.com/USCDataScience/hadoop-pot#getting-started|the install guide from Pooled Time Series]] and confirm that `pooled_time_series` installed correctly. Note the [[https://github.com/USCDataScience/hadoop-pot#pre-requisites|pre-requisites from Pooled Time Series]] require you to install OpenCV and set some environment variables.
-
+ After above steps you must be able to execute `pooled_time_series` through terminal and get below output
+
+ {{{
+ usage: pooled_time_series
+ -d,--dir <directory> A directory with image files in it
+ -f,--file <file> Path to a single file
+ -h,--help Print this message.
+ -j,--json Set similarity output format to JSON.
+ Defaults to .txt
+ -o,--outputfile <output file> File containing similarity results.
+ Defaults to ./similarity.txt
+ -p,--pathfile <path file> A file containing full absolute paths to
+ videos. Previous default was
+ memex-index_temp.txt
+ }}}
== Run PooledTimeSeries Parser from Tika-App ==
Grab an MP4, QuickTime, or other video (supported by your OpenCV implementation). Then run the following command: