Modified meanColor() for displaying tuples in user-specified colorspace.
Image Normalization added
image normalization added with tests
Moving this over
got steady state finding done
find peaks and valleys
added find peaks and valleys, now to determine the shape of the signal
Fix for Orange paths

SimpleCV prompts this:

WARNING: I'm sorry, but you need the orange machine learning library
installed to use this

However orange library is installed, but system paths are not
correctly set. Importing `Orange` with capital O, and then `orange`
fixes the issue, so SimpleCV can use it.
the counting case is done (ish) have a lot of tweaks, want to find classes and add correlation, test
Modified meanColor() function to take in user specified colorspace.
If no argument is given , meanColor() returns the result in (B,G,R) format
as before
Hrm, still can't figure out how to separate classes. Might need better data.
Merge branch 'normalize' of github.com:rajatkapoor/SimpleCV into rajatkapoor-normalize
Merge branch 'develop' of github.com:downingstreet/SimpleCV into downingstreet-develop
Merge branch 'orange_paths' of github.com:maraujop/SimpleCV into maraujop-orange_paths
tests improved for meanColor
hard coded color values. Changed format of meanColor of gray format to a float:

Signed-off-by: jayrambhia <jayrambhia777@gmail.com>
Added "science" tap to homebrew so it can find OpenCV.
Merge pull request #511 from codetab/Mac

Added "science" tap to homebrew so it can find OpenCV. Thanks for keeping us up to date!
fixed a bug in signal selection, now on to convolution and such
got correlation in, now to do the two class case
tct now raises an exception on problems