the code, but it helps visual studio use less RAM when building the example,
and might make appveyor not crash.  It's also a
slightly cleaner way to write the code anyway.

* Removed redudant (repeated) definition of sample_type.

* Added return statement in the documentation of the (lambda) upper bound
function.

* Fixed type passing to opencv to use basic instead of aggregate.

* Change tabs to spaces.

background crops.

numpy's import_array() in a more robust way.

void*.  But the previous code didn't so it wouldn't compile.  Fixed that
problem.

* Exposed jitter_image in Python and added an example

* Return Numpy array directly

* Require numpy during setup

* Added install of Numpy before builds

* Changed pip install for user only due to security issues.

* Removed malloc

* Made presence of Numpy during compile optional.

* Conflict

* Refactored get_face_chip/get_face_chips to use Numpy as well.