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Elphel
python3-imagej-tiff
Commits
622f1b7b
Commit
622f1b7b
authored
Sep 03, 2018
by
Oleg Dzhimiev
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testing saving imagej-compatible tiffs: le vs be?
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ff1d8275
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imagej_tiffwriter_test.py
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622f1b7b
#!/usr/bin/env python3
'''
/**
* @file imagej_tiff_saver.py
* @brief save tiffs for imagej (1.52d+) - with stacks and hyperstacks
* @par <b>License</b>:
* 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 <http://www.gnu.org/licenses/>.
*/
'''
__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(ifh=b"MM*\x00\x00\x00\x00\x00",prefix= b"MM")
ifd
=
TiffImagePlugin
.
ImageFileDirectory_v2
(
prefix
=
b
"MM"
)
#ifd = TiffImagePlugin.ImageFileDirectory_v2()
#ifd = TiffImagePlugin.ImageFileDirectory(prefix='MM')
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
"
)
ijlabl
=
[
b
'IJIJinfo
\x00\x00\x00\x01
labl
\x00\x00\x00\x05
'
,
'<info></info>'
.
encode
(
'UTF-16-LE'
),
'img1'
.
encode
(
'UTF-16-LE'
),
'img2'
.
encode
(
'UTF-16-LE'
),
'img3'
.
encode
(
'UTF-16-LE'
),
'img4'
.
encode
(
'UTF-16-LE'
),
'img5'
.
encode
(
'UTF-16-LE'
)
]
#for i in range()
#ifd[50838] = (20,10)
#ifd[50839] = (20,10)
ifd_50838_list
=
[]
ifd_50839
=
b
""
.
join
(
ijlabl
)
for
label
in
ijlabl
:
ifd_50838_list
.
append
(
len
(
label
))
ifd_50838
=
tuple
(
ifd_50838_list
)
#print(ifd_50838)
#print(ifd_50839)
#is_hyperstack = 'true' if len(shape)>1 else 'false'
#if (len(shape)>0):
ifd
[
50838
]
=
ifd_50838
ifd
[
50839
]
=
ifd_50839
# override
#tif = Image.open("test.tiff")
#tag_50838 = tif.tag[50838]
#tag_50839 = tif.tag[50839]
#tag_270 = tif.tag[270]
#print(tag_50839)
#ifd[270] = tag_270
#ifd[50838] = tag_50838
#ifd[50839] = tag_50839
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
#
# (h,w)
if
len
(
images
.
shape
)
==
2
:
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
=
-
1
if
c
==
1
:
split_channels
=
images
else
:
channels
=
np
.
array
(
np
.
split
(
images
,
c
,
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
=
1
NZ
=
1
NX
=
2916
NY
=
2178
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
))
print
(
"1D run"
)
imgs
=
images
[:,
0
,:,:,
0
]
print
(
imgs
.
shape
)
imlist
=
[]
for
i
in
range
(
imgs
.
shape
[
0
]):
tmp
=
Image
.
fromarray
(
imgs
[
i
])
#tmp.mode = "I;32BS"
imlist
.
append
(
tmp
)
TiffImagePlugin
.
DEBUG
=
True
TiffImagePlugin
.
WRITE_LIBTIFF
=
False
#import sys
#sys.byteorder = "big"
#imlist[0].mode = "I;16B"
#print("encoderconfig")
#print(imlist[0].encoderconfig)
imlist
[
0
]
.
save
(
"result_1D.tiff"
,
save_all
=
True
,
append_images
=
imlist
[
1
:],
tiffinfo
=
__get_IJ_IFD
(
NT
,
NZ
,
NC
))
#v = save("result_1D.tiff",imgs)
#tif = Image.open("result_1D.tiff")
#tag_50838 = tif.tag[50838]
#tag_50839 = tif.tag[50839]
#tag_270 = tif.tag[270]
#print(tag_50839)
#tif = Image.open("test.tiff")
#tif.save("test_saved.tiff")
#print("5D run")
#v = save("result_5D.tiff",images)
#print("4D run")
#v = save("result_4D.tiff",images[0])
#print("3D run")
#v = save("result_3D.tiff",images[0,0])
#print("3D run, 1 channel")
#tmp_images = images[0,0,:,:,0]
#v = save("result_3D1C.tiff",tmp_images[:,:,np.newaxis])
# open test
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