def extract_images(filename):
    """Extract the images into a 4D uint8 numpy array [index, y, x, depth]."""
    with gzip.open(filename) as bytestream:
        magic = _read32(bytestream)
        if magic != 2051:
            raise ValueError(
                'Invalid magic number %d in MNIST image file: %s' %
                (magic, filename))
        num_images = _read32(bytestream)
        rows = _read32(bytestream)
        cols = _read32(bytestream)
        buf = bytestream.read(rows * cols * num_images)
        data = numpy.frombuffer(buf, dtype=numpy.uint8)
        data = data.reshape(num_images, rows, cols, 1)
        data = data.astype('float32') / 255.0
        return data
Extract the images into a 4D uint8 numpy array [index, y, x, depth].
tensorpack/dataflow/dataset/mnist.py