README
By Sam Song and Victor Vahram Shahbazian
----------------
This progject was worked on under Samuel Gbolahan Adesoye. The bulk of the work done for this work was
done as making the data for the random decision forest, which will classify the body parts. As of 
the time of writing complete training of the data set has not been fully completed. As a result 
there is no tree currently availibe. 

For further details please contact Samuel Gbolahan Adesoye at gadesoye@ucsc.edu


-----------------
Current Requirements: OpenCL
Tools Used: Makehuman, Blender, OpenCl, Padenti
The decision tree was made using Padenti for OpenCL. The choice of using OpenCL was after
looking at several options such as OpenCV, Cuda, Sherwood, CNNdroid, and Caffe. An emphasis was made
on using the GPU as much as possible due to the lack of availible cores, and portability. Padenti on 
OpenCL fit this bill by being optimized for GPU and the fact that OpenCL can run on nearly every system.

The eventual goal is to port the data to the Project Tango platform on 
Android as such the requirements may change in the future to all Android Platforms.