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A collision simulation using octrees for many objects within a scene

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Name		Name	Last commit message	Last commit date
Latest commit History 99 Commits
.gitignore		.gitignore
BFwhite1024.png		BFwhite1024.png
DiscreteCollisionAlgorithms.docx		DiscreteCollisionAlgorithms.docx
README.txt		README.txt
ball.py		ball.py
brute_force_scene.py		brute_force_scene.py
colors.py		colors.py
cube.py		cube.py
invoker.sh		invoker.sh
kd_tree_scene.py		kd_tree_scene.py
main.py		main.py
no_collisions_scene.py		no_collisions_scene.py
object_3d.py		object_3d.py
octree_scene.py		octree_scene.py
results.csv		results.csv
results_jim.csv		results_jim.csv
results_justincomp.csv		results_justincomp.csv
results_utkarsh.csv		results_utkarsh.csv
results_utkarsh_justincomp.csv		results_utkarsh_justincomp.csv
scene.py		scene.py
sweep_and_prune_scene.py		sweep_and_prune_scene.py
test_octree.sh		test_octree.sh
vector3.py		vector3.py
volume.py		volume.py

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Collision Detection Using Octrees
CS 274
Professor Terzopoulos
Spring 2014
James Gomez, Utkarsh Jaiswal, Justin Bass


This simulation demonstrates the use of different collision detection
techniques for efficiently animating many objects in a scene


PREREQUISITES
=============
On a vanilla Ubuntu 12.04 install, running the demo will require the following -

sudo apt-get install python-pip
sudo pip install pyopengl
sudo apt-get install freeglut3 freeglut3-dev python-pyglet python-dev
sudo pip install numpy


RUN INSTRUCTIONS
================
usage: python main.py [-h] [-s SIM_TIME] [-o OCTREE_LEVELS] <scene_id> <num_objects>