DMU-Net Platform - Website and CAD Converter Repository
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License: CC BY-SA 4.0

Official Repository for the website

Project Architecture

Branch Description

This branch contain the source code which run the website:

The Repository is organised as followed:

  • css: contains all the CSS Files necessary for the projects.
  • js: contains all the Javascript Files necessary for the projects.
  • data_loader: contains the files used to load the database.
  • dataset: contains all the CAD Models converted in ThreeJS readable format.
  • img: contains all the Images necessary for the projects.
  • parts: contains php files that are shared and used by many files.


  1. Rename the file: config.dist.php to config.php and update the file with the correct settings in order to allow database connection.
  2. Comment the line Deny from All in install/.htaccess.
  3. Go to the http://server-adress.tld/install/ - The website database is now installed.
  4. Recomment the line Deny from All in install/.htaccess or delete the folder install/.
  5. Use the batch script available here to convert a few CAD Models into ThreeJS JSON Files.
    1. Copy the file generation.csv into the folder data_loader/ of the dmu-net website.
    2. Copy the all the folders generated in output/ into the folder dataset/ of the dmu-net website.
  6. Comment the line Deny from All in data_loader/.htaccess.
  7. Go to the http://server-adress.tld/data_loader/ - The CAD Models are now in the database.
  8. Recomment the line Deny from All in data_loader/.htaccess or delete the folder data_loader/.

Cite This Work

DEKHTIAR Jonathan, DURUPT Alexandre, BRICOGNE Matthieu, EYNARD Benoit, ROWSON Harvey and KIRITSIS Dimitris (2017).
Deep Machine Learning for Big Data Engineering Applications - Survey, Opportunities and Case Study.

@article {DEKHTIAR2017:DMUNet,
    author = {DEKHTIAR, Jonathan and DURUPT, Alexandre and BRICOGNE, Matthieu and EYNARD, Benoit and ROWSON, Harvey and KIRITSIS, Dimitris},
    title  = {Deep Machine Learning for Big Data Engineering Applications - Survey, Opportunities and Case Study},
    month  = {jan},
    year   = {2017}

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