'**SUMMARY**
Get a Numpy array of the image in width x height x RGB dimensions
**RETURNS**
Returns the image, converted first to grayscale and then converted to a 3D numpy array.
**EXAMPLE**
>>> img = Image("lenna")
>>> rawImg  = img.getNumpy()
**SEE ALSO**
:py:meth:`getEmpty`
:py:meth:`getBitmap`
:py:meth:`getMatrix`
:py:meth:`getPIL`
:py:meth:`getGrayNumpy`
:py:meth:`getGrayscaleMatrix`'

def getNumpy(self):

    if (self._numpy != ''):
        return self._numpy
    self._numpy = np.array(self.getMatrix())[:, :, ::(-1)].transpose([1, 0, 2])
    return self._numpy
