| 1 | ====
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| 2 | To build and run this site:
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| 3 | ====
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| 4 |
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| 5 | 1. Check-out a base Greenstone3 system and compile up
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| 6 |
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| 7 | svn co https://svn.greenstone.org/main/greenstone3 greenstone3-svn-mars
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| 8 | cd greenstone3-svn-mars
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| 9 |
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| 10 |
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| 11 | # Optionally, check-out out a 'local' folder for your OS, e.g. for MacOs:
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| 12 | svn co https://svn.greenstone.org/local/greenstone3/darwin-64bit local
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| 13 |
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| 14 | source ./gs3-devel.sh
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| 15 |
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| 16 | ant
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| 17 |
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| 18 | # Again, optionally activate the gnome and imagemagick
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| 19 | emacs build.properties
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| 20 |
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| 21 | ant prepare
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| 22 |
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| 23 | ant install
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| 24 |
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| 25 | 2. Check-out the 'mars' extension
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| 26 |
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| 27 | cd ext
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| 28 | svn co https://svn.greenstone.org/gs3-extensions/mars-src/trunk mars
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| 29 |
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| 30 | Follow the details in the Mar extensions README.txt file
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| 31 | In essence (for first-time setup):
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| 32 | a. Get setup with a Python3 under your own control
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| 33 | b. Source its activate script
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| 34 | c. Add in (pip install) the specified packages
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| 35 | d. Setup up (GSLDL top-level) some symbolic links to make things run more smoothly in the future
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| 36 | e. Source the extension's gs3-setup.bash file
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| 37 | f. Run the extention's ./CASCADE-MAKE.sh
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| 38 | g. Wait a while (NodeJS in particular takes a long time to compile from source)
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| 39 |
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| 40 | 3. Check-out the 'mars' site and interface
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| 41 |
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| 42 | Already covered off in the Mars extension README.txt, but if not already done:
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| 43 |
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| 44 | cd web/sites
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| 45 | svn co https://svn.greenstone.org/main/trunk/model-sites-dev/mars
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| 46 | cd ../interfaces/
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| 47 | svn co https://svn.greenstone.org/main/trunk/model-interfaces-dev/mars
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| 48 | cd ../..
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| 49 |
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| 50 | Now Update:
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| 51 | web/WEB-INF/servlet.xsml
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| 52 |
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| 53 | So the main 'library' servlet specifies the 'mars' site and interface:
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| 54 |
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| 55 | <init-param>
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| 56 | <param-name>site_name</param-name>
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| 57 | <param-value>mars</param-value>
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| 58 | </init-param>
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| 59 | <init-param>
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| 60 | <param-name>interface_name</param-name>
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| 61 | <param-value>mars</param-value>
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| 62 | </init-param>
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| 63 |
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| 64 | 4. Build the Weka Arousal-Valence model from the DEAM data
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| 65 |
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| 66 | Follow the instructions in the 'deam' collection README.txt
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| 67 | In essence:
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| 68 | a. download the files
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| 69 | b. process the files
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| 70 | c. move up to the right level to train the models
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| 71 |
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| 72 | Note: there is no need to build this collection
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| 73 |
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| 74 | 5. Generate the Arousal-Valence prediction values for the 'amc-essentia' collection
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| 75 |
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| 76 | At the 'mars site' level:
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| 77 |
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| 78 | ./NOHUP-FOREACH-CSV-APPLY-AV-MODELS.sh
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| 79 |
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