number of samples than the tensor used to initialize the network was passed
through the layer.

* improvements to cnn face detection interface

* mmod rectangle object renaming. possibility to set batch size in multi image detection. Added check to make sure images are all the same size.

Added options to input_rgb_image_pyramid that let the user set create_tiled_pyramid()'s padding parameters.

Also changed the default outer border padding from 0 to 11. This effects even
previously trained models.  So any model that doesn't explicitly set the outer
patting to something else will have a padding of 11.  This should be a more
reasonable value for most networks.

of the pyramid image.

output tensor coordinates to use dpoint instead of point.  This way, we can
obtain sub-pixel coordinates if we need them.

better results when run on float and double images.  There was needless
rounding to integers happening in the bilinear interpolation.  Now if you work
with a float image the entire process will run without integer rounding.