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Pythonic API for a subset of the Intel Integrated Performance Primitives (Intel IPP) library

Project description

************************************************
:mod:`motmot.FastImage` -- SIMD image processing
************************************************

.. module:: motmot.FastImage.FastImage
:synopsis: SIMD image processing
.. index::
module: FastImage
single: FastImage

Description
===========

FastImage implements low-level image processing operations designed to
operate very quickly by using SIMD instructions. This is achieved by
calling the Intel IPP library. A bridge to numpy is made through the
`array interface`__.

__ http://docs.scipy.org/doc/numpy/reference/arrays.interface.html

Allocation of aligned memory
============================

For the SIMD instructions to perform at maximal speed, images must be
aligned on 32-byte boundaries. FastImage relies on the underlying
image processing library to allocate the memory, trusting that it
knows best::

import motmot.FastImage.FastImage as FastImage
import numpy as np

# Allocate the image
fi_im1 = FastImage.FastImage8u( FastImage.Size(4,5) ) # width, height

# Get a numpy view
im1 = np.asarray( fi_im1 )
assert im1.shape == (5,4) # height, width

In the above example, im1.strides will be (32,1), indicating that each
row is aligned on a 32 byte boundary.

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