#!/usr/bin/env python3 ''' /** * @file imagej_tiff_saver.py * @brief save tiffs for imagej (1.52d+) - with stacks and hyperstacks * @par License: * This program is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program. If not, see . */ ''' __copyright__ = "Copyright 2018, Elphel, Inc." __license__ = "GPL-3.0+" __email__ = "oleg@elphel.com" ''' Usage example: import imagej_tiffwriter import numpy as np # have a few images in the form of numpy arrays # make sure to stack them as: # - (t,z,h,w,c) # - (z,h,w,c) # - (h,w,c) # - (h,w) imagej_tiffwriter.save(path,images) ''' from PIL import Image, TiffImagePlugin import numpy as np import math # DO NOT USE? # thing is the old ImageJs <1.52d poorly handle tags directories or something like that def __get_IJ_IFD(t,z,c): ifd = TiffImagePlugin.ImageFileDirectory_v2() ijheader = [ 'ImageJ=', 'hyperstack=true', 'images='+str(t*z*c), 'channels='+str(c), 'slices='+str(z), 'frames='+str(t), 'loop=false' ] ifd[270] = ("\n".join(ijheader)+"\n") #is_hyperstack = 'true' if len(shape)>1 else 'false' #if (len(shape)>0): return ifd #def save(path,images,force_stack=False,force_hyperstack=False): def save(path,images): # Got images, analyze shape: # - possible formats (c == depth): # -- (t,z,h,w,c) # -- (t,h,w,c), t or z does not matter # -- (h,w,c) # -- (h,w) # 0 or 1 images.shapes are not handled # # save single channel image in the form of numpy array # - if len(images.shape)==2: # (h,w) -> (h,w,c=1) image = Image.fromarray(images) image.save(path) elif len(images.shape)>2: h,w,c = images.shape[-3:] if len(images.shape)==3: images = np.reshape(images,(1,h,w,c)) z = images.shape[-4] if len(images.shape)==4: images = np.reshape(images,(1,z,h,w,c)) t = images.shape[-5] c_axis = len(images.shape)-1 if c>1: channels = np.squeeze(np.split(images,c,axis=c_axis)) else: channels = np.squeeze(images,axis=c_axis) split_channels = np.concatenate(channels,axis=-3) images_flat = np.reshape(split_channels,(-1,h,w)) imlist = [] for i in range(images_flat.shape[0]): imlist.append(Image.fromarray(images_flat[i])) imlist[0].save(path,save_all=True,append_images=imlist[1:]) # thing is the old ImageJs <1.52d poorly handle tags directories or something like that #imlist[0].save(path,save_all=True,append_images=imlist[1:],tiffinfo=__get_IJ_IFD(t,z,c)) # Testing if __name__ == "__main__": def hamming_window(x,N): y = 0.54 - 0.46*math.cos(2*math.pi*x/(N-1)) return y hw = hamming_window NT = 5 NC = 2 NZ = 3 NX = 512 NY = 512 images = np.empty((NT,NZ,NY,NX,NC)) import time print(str(time.time())+": Generating test images") for t in range(NT): for z in range(NZ): for c in range(NC): images[t,z,:,:,c] = np.array([[(255-t*25)*hw(i,512)*hw(j,512) for i in range(NX)] for j in range(NY)],np.float32) print(str(time.time())+": Test images generated") print("Images shape: "+str(images.shape)) v = save("result_2.tiff",images)