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B.lender V.ision P.roject : python toolbox for creating stimuli for vision experiments with Blender

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bvp

The B.lender V.ision P.roject (bvp) is a framework for creating visual stimuli using Blender.

bvp consists of a library of python classes and functions, as well as a library of "scene elements" (objects, backgrounds, skies/lighting setups, shadows, and cameras) stored in .blend files and accessible through a database.

Scene elements are all managed by classes that wrap functionality of native Blender objects and store meta-data about each element (for example, the semantic category or size of an object). Each individual scene element is stored in a archival .blend files, and managed by a database system based couchdb (currently) though this is likely to change to a postgresql database managed through django in the future.

Scene elements can be combined using a Scene class, which has methods to populate a given scene with objects in random locations, render the scene, and more.

All relevant information for a set of scenes is stored in the SceneList class, which has methods for permanent storage / write-out of stimulus lists to archival files*.

  • Still to come 2017.03

Installation

The INTENT with all this is to package all this code / all these dependencies as pip / conda packages.

Dependencies - non python:

  • couchdb server (binaries avialable for unix, osx, and windows here
  • blender (obv)

Process

  1. Download Blender (2.76 or later) here

    • For MacOS: delete <path_to_blender_app>/blender.app/Contents/Resources/2.72/python ... and all its sub-folders.
    • NOTE: capitalization of words in that path may vary with operating system / Blender version
    • Linux:
    • Windows: Good luck & Godspeed to you, brave soul.
  2. Make sure you have python3.X environment on your computer somewhere. Currently (2018.08) this should be 3.6.

    • I recommend you install this (and all your python packages) via anaconda: sudo conda create -n py36bvp python=3.6 anaconda # creates python 3.6 environment with standard python packages (numpy, scipy, matplotlib, more)
    • conda install -n py36bvp couchdb # install couchdb
    • Once you have a python 3.6 environment somewhere add the following line to your ~/.bashrc or ~/.bash_profile file:
    • export BLENDER_SYSTEM_PYTHON="<my_python3.X_path>" (
    • For me (OSX version 10.11), the command is: export BLENDER_SYSTEM_PYTHON="/Users/mark/anaconda/envs/py36bvp/"
  3. Install couchdb server.

  4. Get BVP from github: git clone https://github.com/marklescroart/bvp <your_bvp_path>

    • <your_bvp_path> should be something like ~/Code/bvp, or wherever you like keeping code
    • cd <your_bvp_path>
    • python setup.py install # into your environment
  5. Set up config file [WIP!!]

At this point, BVP should be functional, but you won't have the ability to access / store things in a database without couchdb installed & running

Contributing models to BVP

First: Thanks!

If you have models in non-Blender form (3DS max, Sketchup, .off, whatever), and don't want to be bothered, EMAIL ME and we can talk. I love more models. I always want more models.

If you are willing to actually putting them in BVP format, GREAT, we have tools for that.

Adding labels

The objects in the database are already labeled with semantic categories from the WordNet hierarchy. To add additional labels through the BVP blender addon GUI, you will need to make sure your system has the WordNet corpus downloaded for nltk (the Natural Language ToolKit for python)

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