def im_tiles(
    folder,
    im_fmt,
    num_images,
    offset,
    resize,
    s,
):
    folder = folder

    files = glob.glob(os.path.join(folder,'*'+im_fmt))[offset:num_images+offset]

    images = np.array([transform.resize(skio.imread(f), resize, order=1)
                       for f in files])

    im_tiles = np.array([np.split(np.array(im), s, axis=2) for im in
                         [np.split(im, s, axis=0) for im in images]])
    im_tiles = im_tiles.reshape(im_tiles.shape[0], im_tiles.shape[1]
                                * im_tiles.shape[2],
                                *im_tiles.shape[3:]).transpose(1, 0, 2,
                                                               3, 4)
    if num_images > 0:
        im_tiles = np.squeeze(im_tiles)
    else:
        pass
    return im_tiles



def merge_tiles(im_tiles, resize):
    tiles_out_ = []
    for tiles in im_tiles:

        tiles = tiles.transpose(3, 1, 2, 0)
        tiles = tiles.reshape(tiles.shape[0], tiles.shape[1] * tiles.shape[2],
                              tiles.shape[3])
        for tile in tiles:

            tile_deprocess = np.flipud(tile[:, 0])
            tile_deprocess = tile_deprocess.reshape(
                im_tiles.shape[2], im_tiles.shape[3])
            tile_deprocess = np.squeeze(tile_deprocess)
            tiles_out_.append(tile_deprocess)
    print(np.array(tiles_out_).shape)
    tiles_out_ = np.array(tiles_out_)
    tiles_out_ = np.split(tiles_out_, im_tiles.shape[0])

    tiles_out_ = [np.fliplr(np.dstack(np.fliplr(a))) for a in tiles_out_]
    tiles_out_ = np.rot90(
        util.montage(
            np.transpose(
                tiles_out_, [
                    0, 2, 1, 3]), multichannel=True), 3)
    tiles_out_ = transform.resize(tiles_out_, resize, order=1)
    showarray(tiles_out_ * 255)

    return tiles_out_