no need

#!/usr/bin/env python3

import struct

import numpy

import tifffile

import math

def imagej_metadata_tags(metadata, byteorder):

    """Return IJMetadata and IJMetadataByteCounts tags from metadata dict.

    The tags can be passed to the TiffWriter.save function as extratags.

    """

    header = [{'>': b'IJIJ', '<': b'JIJI'}[byteorder]]

    bytecounts = [0]

    body = []

    def writestring(data, byteorder):

        return data.encode('utf-16' + {'>': 'be', '<': 'le'}[byteorder])

    def writedoubles(data, byteorder):

        return struct.pack(byteorder+('d' * len(data)), *data)

    def writebytes(data, byteorder):

        return data.tobytes()

    metadata_types = (

        ('Info', b'info', 1, writestring),

        ('Labels', b'labl', None, writestring),

        ('Ranges', b'rang', 1, writedoubles),

        ('LUTs', b'luts', None, writebytes),

        ('Plot', b'plot', 1, writebytes),

        ('ROI', b'roi ', 1, writebytes),

        ('Overlays', b'over', None, writebytes))

    for key, mtype, count, func in metadata_types:

        if key not in metadata:

            continue

        if byteorder == '<':

            mtype = mtype[::-1]

        values = metadata[key]

        if count is None:

            count = len(values)

        else:

            values = [values]

        header.append(mtype + struct.pack(byteorder+'I', count))

        for value in values:

            data = func(value, byteorder)

            body.append(data)

            bytecounts.append(len(data))

    body = b''.join(body)

    header = b''.join(header)

    data = header + body

    bytecounts[0] = len(header)

    bytecounts = struct.pack(byteorder+('I' * len(bytecounts)), *bytecounts)

    return ((50839, 'B', len(data), data, True),

            (50838, 'I', len(bytecounts)//4, bytecounts, True))

def hamming_window(x,N):

  y = 0.54 - 0.46*math.cos(2*math.pi*x/(N-1))

  return y

hw = hamming_window

image =  numpy.array([[(255-0*25)*hw(i,512)*hw(j,512) for i in range(512)] for j in range(512)],numpy.float32)

image = image[numpy.newaxis,...]

ijtags = imagej_metadata_tags({'Labels':["Name1","Name2","Name3","Name4","Name5"]}, '<')

with tifffile.TiffWriter("multipage_test.tiff", bigtiff=False,imagej=True) as tif:

  for i in range(5):

    tif.save(image, metadata={'version':'20180905', 'loop':False}, extratags=ijtags)