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        "description": "************************************************\n:mod:`motmot.FastImage` -- SIMD image processing\n************************************************\n\n.. module:: motmot.FastImage.FastImage\n  :synopsis: SIMD image processing\n.. index::\n  module: FastImage\n  single: FastImage\n\nDescription\n===========\n\nFastImage implements low-level image processing operations designed to\noperate very quickly by using SIMD instructions. This is achieved by\ncalling the Intel IPP library. A bridge to numpy is made through the\n`array interface`__.\n\n__ http://docs.scipy.org/doc/numpy/reference/arrays.interface.html\n\nAllocation of aligned memory\n============================\n\nFor the SIMD instructions to perform at maximal speed, images must be\naligned on 32-byte boundaries. FastImage relies on the underlying\nimage processing library to allocate the memory, trusting that it\nknows best::\n\n  import motmot.FastImage.FastImage as FastImage\n  import numpy as np\n\n  # Allocate the image\n  fi_im1 = FastImage.FastImage8u( FastImage.Size(4,5) ) # width, height\n\n  # Get a numpy view\n  im1 = np.asarray( fi_im1 )\n  assert im1.shape == (5,4) # height, width\n\nIn the above example, im1.strides will be (32,1), indicating that each\nrow is aligned on a 32 byte boundary.\n",
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