Loop over numpy array to save them as tif files
0
I am trying to save a numpy array (train_images) with shape (625, 256, 256, 4) as tif images in a folder using a for loop. That is, 625 RGBN images of 256 x 256 pixels. Currently my code looks as follows:
path = str(os.getcwd) + "/data/train_images"
for i in train_images:
num = 0
i.save(num + '.tif')
num +=1
It is however not possible to save a numpy array as a tif file like this. In the end I would like to have 625 saved (RGBN) tif images in the folder named 0.tif, 1.tif etc.
python loops numpy tiff
asked Nov 19 '18 at 19:50
Eeuwigestudent1Eeuwigestudent1
417
|
show 3 more comments
0
I am trying to save a numpy array (train_images) with shape (625, 256, 256, 4) as tif images in a folder using a for loop. That is, 625 RGBN images of 256 x 256 pixels. Currently my code looks as follows:
path = str(os.getcwd) + "/data/train_images"
for i in train_images:
num = 0
i.save(num + '.tif')
num +=1
It is however not possible to save a numpy array as a tif file like this. In the end I would like to have 625 saved (RGBN) tif images in the folder named 0.tif, 1.tif etc.
python loops numpy tiff
asked Nov 19 '18 at 19:50
Eeuwigestudent1Eeuwigestudent1
417
train_imagesis not defined.
– Rocky Li
Nov 19 '18 at 19:52
I'm sorry, train_images is the numpy array of shape (625, 256, 256, 4).
– Eeuwigestudent1
Nov 19 '18 at 19:53
1
Maybe you want to look into thetifffilemodule pypi.org/project/tifffile becausenumpy.savedoes "Save an array to a binary file in NumPy .npy format". Keep in mind that a TIFF file contains a header.
– Daniel F
Nov 19 '18 at 20:07
What's the error you're getting?
– TeeKea
Nov 19 '18 at 20:09
@TeeKea "AttributeError: 'numpy.ndarray' object has no attribute 'save'"
– Eeuwigestudent1
Nov 19 '18 at 20:12
|
show 3 more comments
0
0
0
I am trying to save a numpy array (train_images) with shape (625, 256, 256, 4) as tif images in a folder using a for loop. That is, 625 RGBN images of 256 x 256 pixels. Currently my code looks as follows:
path = str(os.getcwd) + "/data/train_images"
for i in train_images:
num = 0
i.save(num + '.tif')
num +=1
It is however not possible to save a numpy array as a tif file like this. In the end I would like to have 625 saved (RGBN) tif images in the folder named 0.tif, 1.tif etc.
python loops numpy tiff
asked Nov 19 '18 at 19:50
Eeuwigestudent1Eeuwigestudent1
417
I am trying to save a numpy array (train_images) with shape (625, 256, 256, 4) as tif images in a folder using a for loop. That is, 625 RGBN images of 256 x 256 pixels. Currently my code looks as follows:
path = str(os.getcwd) + "/data/train_images"
for i in train_images:
num = 0
i.save(num + '.tif')
num +=1
It is however not possible to save a numpy array as a tif file like this. In the end I would like to have 625 saved (RGBN) tif images in the folder named 0.tif, 1.tif etc.
python loops numpy tiff
python loops numpy tiff
asked Nov 19 '18 at 19:50
Eeuwigestudent1Eeuwigestudent1
417
asked Nov 19 '18 at 19:50
Eeuwigestudent1Eeuwigestudent1
417
edited Nov 19 '18 at 19:56
Eeuwigestudent1
asked Nov 19 '18 at 19:50
Eeuwigestudent1Eeuwigestudent1
417
asked Nov 19 '18 at 19:50
Eeuwigestudent1Eeuwigestudent1
417
asked Nov 19 '18 at 19:50
Eeuwigestudent1Eeuwigestudent1
417
417
train_imagesis not defined.
– Rocky Li
Nov 19 '18 at 19:52
I'm sorry, train_images is the numpy array of shape (625, 256, 256, 4).
– Eeuwigestudent1
Nov 19 '18 at 19:53
1
Maybe you want to look into thetifffilemodule pypi.org/project/tifffile becausenumpy.savedoes "Save an array to a binary file in NumPy .npy format". Keep in mind that a TIFF file contains a header.
– Daniel F
Nov 19 '18 at 20:07
What's the error you're getting?
– TeeKea
Nov 19 '18 at 20:09
@TeeKea "AttributeError: 'numpy.ndarray' object has no attribute 'save'"
– Eeuwigestudent1
Nov 19 '18 at 20:12
|
show 3 more comments
train_imagesis not defined.
– Rocky Li
Nov 19 '18 at 19:52
I'm sorry, train_images is the numpy array of shape (625, 256, 256, 4).
– Eeuwigestudent1
Nov 19 '18 at 19:53
1
Maybe you want to look into thetifffilemodule pypi.org/project/tifffile becausenumpy.savedoes "Save an array to a binary file in NumPy .npy format". Keep in mind that a TIFF file contains a header.
– Daniel F
Nov 19 '18 at 20:07
What's the error you're getting?
– TeeKea
Nov 19 '18 at 20:09
@TeeKea "AttributeError: 'numpy.ndarray' object has no attribute 'save'"
– Eeuwigestudent1
Nov 19 '18 at 20:12
train_images is not defined.– Rocky Li
Nov 19 '18 at 19:52
train_images is not defined.– Rocky Li
Nov 19 '18 at 19:52
I'm sorry, train_images is the numpy array of shape (625, 256, 256, 4).
– Eeuwigestudent1
Nov 19 '18 at 19:53
I'm sorry, train_images is the numpy array of shape (625, 256, 256, 4).
– Eeuwigestudent1
Nov 19 '18 at 19:53
1
1
Maybe you want to look into the
tifffile module pypi.org/project/tifffile because numpy.save does "Save an array to a binary file in NumPy .npy format". Keep in mind that a TIFF file contains a header.– Daniel F
Nov 19 '18 at 20:07
Maybe you want to look into the
tifffile module pypi.org/project/tifffile because numpy.save does "Save an array to a binary file in NumPy .npy format". Keep in mind that a TIFF file contains a header.– Daniel F
Nov 19 '18 at 20:07
What's the error you're getting?
– TeeKea
Nov 19 '18 at 20:09
What's the error you're getting?
– TeeKea
Nov 19 '18 at 20:09
@TeeKea "AttributeError: 'numpy.ndarray' object has no attribute 'save'"
– Eeuwigestudent1
Nov 19 '18 at 20:12
@TeeKea "AttributeError: 'numpy.ndarray' object has no attribute 'save'"
– Eeuwigestudent1
Nov 19 '18 at 20:12
|
show 3 more comments
1 Answer
1
active
oldest
votes
1
Try imsave in scipy.misc, as follows:
path = str(os.getcwd) + "/data/train_images/"
num = 0
for img in train_images:
import scipy.misc
scipy.misc.imsave(path + str(num) + '.tif', img)
num +=1
To read an image from a file, you would need to use the following:
import imageio
im = imageio.imread('0.tif')
Hope it helps.
answered Nov 19 '18 at 20:14
TeeKeaTeeKea
3,20841730
Yes it worked!!!! Thanks a lot!
– Eeuwigestudent1
Nov 19 '18 at 20:24
Glad to hear that. Please Tick mark the answer as Accepted.
– TeeKea
Nov 19 '18 at 20:36
Just did, tried to upvote you but don't have enough reputation (yet). Thanks again.
– Eeuwigestudent1
Nov 19 '18 at 20:41
No worries. Good luck.
– TeeKea
Nov 19 '18 at 20:41
There is one problem though, if I read the image in again the shape has changed. When we loop over the train images then "train_image" has shape (625,256,256,4), and when i read the saved images they have shape (25, 256, 256, 4). Where does this first 25 come from?
– Eeuwigestudent1
Nov 19 '18 at 21:14
|
show 5 more comments
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1
Try imsave in scipy.misc, as follows:
path = str(os.getcwd) + "/data/train_images/"
num = 0
for img in train_images:
import scipy.misc
scipy.misc.imsave(path + str(num) + '.tif', img)
num +=1
To read an image from a file, you would need to use the following:
import imageio
im = imageio.imread('0.tif')
Hope it helps.
answered Nov 19 '18 at 20:14
TeeKeaTeeKea
3,20841730
Yes it worked!!!! Thanks a lot!
– Eeuwigestudent1
Nov 19 '18 at 20:24
Glad to hear that. Please Tick mark the answer as Accepted.
– TeeKea
Nov 19 '18 at 20:36
Just did, tried to upvote you but don't have enough reputation (yet). Thanks again.
– Eeuwigestudent1
Nov 19 '18 at 20:41
No worries. Good luck.
– TeeKea
Nov 19 '18 at 20:41
There is one problem though, if I read the image in again the shape has changed. When we loop over the train images then "train_image" has shape (625,256,256,4), and when i read the saved images they have shape (25, 256, 256, 4). Where does this first 25 come from?
– Eeuwigestudent1
Nov 19 '18 at 21:14
|
show 5 more comments
1
Try imsave in scipy.misc, as follows:
path = str(os.getcwd) + "/data/train_images/"
num = 0
for img in train_images:
import scipy.misc
scipy.misc.imsave(path + str(num) + '.tif', img)
num +=1
To read an image from a file, you would need to use the following:
import imageio
im = imageio.imread('0.tif')
Hope it helps.
answered Nov 19 '18 at 20:14
TeeKeaTeeKea
3,20841730
Yes it worked!!!! Thanks a lot!
– Eeuwigestudent1
Nov 19 '18 at 20:24
Glad to hear that. Please Tick mark the answer as Accepted.
– TeeKea
Nov 19 '18 at 20:36
Just did, tried to upvote you but don't have enough reputation (yet). Thanks again.
– Eeuwigestudent1
Nov 19 '18 at 20:41
No worries. Good luck.
– TeeKea
Nov 19 '18 at 20:41
There is one problem though, if I read the image in again the shape has changed. When we loop over the train images then "train_image" has shape (625,256,256,4), and when i read the saved images they have shape (25, 256, 256, 4). Where does this first 25 come from?
– Eeuwigestudent1
Nov 19 '18 at 21:14
|
show 5 more comments
1
1
1
Try imsave in scipy.misc, as follows:
path = str(os.getcwd) + "/data/train_images/"
num = 0
for img in train_images:
import scipy.misc
scipy.misc.imsave(path + str(num) + '.tif', img)
num +=1
To read an image from a file, you would need to use the following:
import imageio
im = imageio.imread('0.tif')
Hope it helps.
answered Nov 19 '18 at 20:14
TeeKeaTeeKea
3,20841730
Try imsave in scipy.misc, as follows:
path = str(os.getcwd) + "/data/train_images/"
num = 0
for img in train_images:
import scipy.misc
scipy.misc.imsave(path + str(num) + '.tif', img)
num +=1
To read an image from a file, you would need to use the following:
import imageio
im = imageio.imread('0.tif')
Hope it helps.
answered Nov 19 '18 at 20:14
TeeKeaTeeKea
3,20841730
edited Nov 19 '18 at 23:17
answered Nov 19 '18 at 20:14
TeeKeaTeeKea
3,20841730
answered Nov 19 '18 at 20:14
TeeKeaTeeKea
3,20841730
answered Nov 19 '18 at 20:14
TeeKeaTeeKea
3,20841730
3,20841730
Yes it worked!!!! Thanks a lot!
– Eeuwigestudent1
Nov 19 '18 at 20:24
Glad to hear that. Please Tick mark the answer as Accepted.
– TeeKea
Nov 19 '18 at 20:36
Just did, tried to upvote you but don't have enough reputation (yet). Thanks again.
– Eeuwigestudent1
Nov 19 '18 at 20:41
No worries. Good luck.
– TeeKea
Nov 19 '18 at 20:41
There is one problem though, if I read the image in again the shape has changed. When we loop over the train images then "train_image" has shape (625,256,256,4), and when i read the saved images they have shape (25, 256, 256, 4). Where does this first 25 come from?
– Eeuwigestudent1
Nov 19 '18 at 21:14
|
show 5 more comments
Yes it worked!!!! Thanks a lot!
– Eeuwigestudent1
Nov 19 '18 at 20:24
Glad to hear that. Please Tick mark the answer as Accepted.
– TeeKea
Nov 19 '18 at 20:36
Just did, tried to upvote you but don't have enough reputation (yet). Thanks again.
– Eeuwigestudent1
Nov 19 '18 at 20:41
No worries. Good luck.
– TeeKea
Nov 19 '18 at 20:41
There is one problem though, if I read the image in again the shape has changed. When we loop over the train images then "train_image" has shape (625,256,256,4), and when i read the saved images they have shape (25, 256, 256, 4). Where does this first 25 come from?
– Eeuwigestudent1
Nov 19 '18 at 21:14
Yes it worked!!!! Thanks a lot!
– Eeuwigestudent1
Nov 19 '18 at 20:24
Yes it worked!!!! Thanks a lot!
– Eeuwigestudent1
Nov 19 '18 at 20:24
Glad to hear that. Please Tick mark the answer as Accepted.
– TeeKea
Nov 19 '18 at 20:36
Glad to hear that. Please Tick mark the answer as Accepted.
– TeeKea
Nov 19 '18 at 20:36
Just did, tried to upvote you but don't have enough reputation (yet). Thanks again.
– Eeuwigestudent1
Nov 19 '18 at 20:41
Just did, tried to upvote you but don't have enough reputation (yet). Thanks again.
– Eeuwigestudent1
Nov 19 '18 at 20:41
No worries. Good luck.
– TeeKea
Nov 19 '18 at 20:41
No worries. Good luck.
– TeeKea
Nov 19 '18 at 20:41
There is one problem though, if I read the image in again the shape has changed. When we loop over the train images then "train_image" has shape (625,256,256,4), and when i read the saved images they have shape (25, 256, 256, 4). Where does this first 25 come from?
– Eeuwigestudent1
Nov 19 '18 at 21:14
There is one problem though, if I read the image in again the shape has changed. When we loop over the train images then "train_image" has shape (625,256,256,4), and when i read the saved images they have shape (25, 256, 256, 4). Where does this first 25 come from?
– Eeuwigestudent1
Nov 19 '18 at 21:14
|
show 5 more comments
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train_imagesis not defined.– Rocky Li
Nov 19 '18 at 19:52
I'm sorry, train_images is the numpy array of shape (625, 256, 256, 4).
– Eeuwigestudent1
Nov 19 '18 at 19:53
1
Maybe you want to look into the
tifffilemodule pypi.org/project/tifffile becausenumpy.savedoes "Save an array to a binary file in NumPy .npy format". Keep in mind that a TIFF file contains a header.– Daniel F
Nov 19 '18 at 20:07
What's the error you're getting?
– TeeKea
Nov 19 '18 at 20:09
@TeeKea "AttributeError: 'numpy.ndarray' object has no attribute 'save'"
– Eeuwigestudent1
Nov 19 '18 at 20:12