utils.py

import numpy as np

# That very smart code was taken from http://stackoverflow.com/questions/30109068/implement-matlabs-im2col-sliding-in-python/30110497


def im2col(array, size, stride=1, padding=0):
  # Add padding to our array
  padded_array = np.pad(
      array,
      ((0, 0), (0, 0), (padding, padding), (padding, padding)),
      mode='constant'
  )
  # Get the shape of our newly made array
  H, W = np.shape(padded_array)
  # Get the extent
  extent = H - size + 1

  # Start index
  start_idx = np.arange(size)[:, None] * H + np.arange(size)
  offset_idx = np.arange(extent)[:, None] * H + np.arange(extent)

  return np.take(
      array,
      np.ravel(start_idx)[:, None] + np.ravel(offset_idx)[::stride]
  )


def cifar_rgb_to_grayscale(image):
  red = np.reshape(image[0:1024], (32, 32))
  green = np.reshape(image[1024:2048], (32, 32))
  blue = np.reshape(image[2048:3072], (32, 32))

  return 0.2989 * red + 0.5870 * green + 0.1140 * blue