initial import
Added in the demo code I have from last year into the face_simple folder. The code that I am currently working on I put in the eday2014 folder so that it is all kept together for now.  I will move it into the other folders after EDay
Changed up the file structure under the face folder a bit. I have the cv2 face detection working now.  I found an example piece of code for face detection in the opencv samples, so I'm working through that and comparing my code to it.
Working on implementing a circle detector. I've run into trouble with converting the frames from the webcam to grayscale in order to use the circle detection functions. I'm looking into the cause of this problem
Found one small error. Passed 'im' instead of 'gray'. Now the code runs without displaying anything, but it doesn't show the previous error anymore.
Circle detection is semi working. It detects circles, just way too many of them. I'm looking into the cause of this
Circle detection is in a more functional state.  Tweaked some parameters to have it work better. It still detects large amounts of circles on a pattern such as a plaid shirt, but on a solid background such as a white board, it doesn't crash.
Added in some blurring to the image before circle detection.
Changed the image used for face detection to the blurred gray image. Committing this one change so I don't forget that I did it in case it doesn't work out later down the line.
Renamed the face/circle detection code and created a file for homography testing.  I have the homography correctly computed from an image of the checkerboard using hard coded points.
Took some time to clean up face_circles.py. I moved the face and circle detection into functions and commented all of the code.
I now have a click interface for getting the four points. The first four points clicked are recorded and homography is computed after a key is pressed.
The homography on the live feed works. The code is a bit of a mess and slow at the moment, but the live feed of the board is transformed correctly.
Cleaned up the code a bit while working to get the kinect working as a webcam
Cropped the image before detecting. Runs faster now, but still not fast enough
Disassembled the eday2014 folder and moved all of the demos into folders that describe them.
Merge branch 'master' into master3

# By jacobsn
# Via jacobsn
* master:
  Initial commit