I want to convert .tif to .png. Simple solution I found was
import Image
im = Image.open('39.tif')
im.save('39.png')
This didn't work and gave me following error :
Traceback (most recent call last):
File "C:/Users/Marijus/Desktop/templates/rename.py", line 8, in <module>
im.save('Foto.png')
File "C:\Python27\lib\site-packages\PIL\Image.py", line 1441, in save
save_handler(self, fp, filename)
File "C:\Python27\lib\site-packages\PIL\PngImagePlugin.py", line 506, in _save
raise IOError, "cannot write mode %s as PNG" % mode
IOError: cannot write mode CMYK as PNG
After a little bit of googling I found out that if I wanted this to work, I had to change mode from CMYK to RGB
if im.mode == "CMYK":
im = im.convert("RGB")
And it worked, however it changed colours. How can I convert from .tif to .png without changing mode from cmyk to rgb ?
PNG-Files have only the modes Indexed, Gray, RGB and RGBA. That's the file format, so if you need CMYK use another file format, e.g. TIF.
I use next code for work with tiff
from PIL import Image, ImageSequence
image = Image.open(content)
for i, page in enumerate(ImageSequence.Iterator(image), 1):
filename = os.path.splitext(file_info.filename)
page_name = "{}_{}{}".format(filename[0], i, ".png")
page_bytes_io = io.BytesIO()
page = page.convert("RGB")
page.save(page_bytes_io, "png")
page_bytes_io.seek(0)
yield page_name, page_bytes_io, page
Related
The below error is thrown when trying to read the image URL referenced below. (Note, I can't even upload the image to SO because it throws an error when I try to upload it.)
https://s3.amazonaws.com/comicgeeks/comics/covers/large-7441962.jpg
image = imread('https://s3.amazonaws.com/comicgeeks/comics/covers/large-7441962.jpg', as_gray=True)
This is the stack trace.
Traceback (most recent call last):
....
return imread(image_or_path, as_gray=True)
File "skimage/io/_io.py", line 48, in imread
img = call_plugin('imread', fname, plugin=plugin, **plugin_args)
File "skimage/io/manage_plugins.py", line 209, in call_plugin
return func(*args, **kwargs)
File "skimage/io/_plugins/imageio_plugin.py", line 10, in imread
return np.asarray(imageio_imread(*args, **kwargs))
File "imageio/__init__.py", line 86, in imread
return imread_v2(uri, format=format, **kwargs)
File "imageio/v2.py", line 159, in imread
with imopen(uri, "ri", plugin=format) as file:
File "imageio/core/imopen.py", line 333, in imopen
raise err_type(err_msg)
ValueError: Could not find a backend to open `/var/folders/82/rky4yjcx75n1zskhy5570v0m0000gn/T/tmpy9xg7dvb.jpg`` with iomode `ri`.
After looking into this further I believe the image was originally a TIFF file that was just renamed to a .jpg file manually, but I'm not sure. If I download the file and try to open it with Photoshop I get the following message.
Could not open “large-7441962.jpeg” because an unknown or invalid JPEG marker type is found.
If I simply change the extension to a .tiff file it will not open as it states it is an invalid tiff file.
The only way I can open it with photoshop is if I open it with the preview.app and then save a copy of the image as a .tiff file. Then I can open it in photoshop.
This is an issue with a potentially large number of images so re-saving them one-by-one is not an option.
Are there any possible ways to re-save this file when this error is thrown? Or somehow figure out how to handle it even though imread() is failing?
I was able to work around this by using the following.
from PIL import Image
from skimage.io import imread
try:
image = imread(url, as_gray=True)
return image
except:
image = Image.open(requests.get(url, stream=True).raw)
return image
However it is worth noting that when having to make this request using PIL it is significantly slower.
I am trying to convert a Computed Radiography dicom file to jpeg using the code below but its raising an OSError: cannot write mode I;16 as JPEG. Here is the code I am using to convert:
ds = read_file('Dicom_files/' + dicomname)
im = fromarray(ds.pixel_array)
im.save('./Jpeg/' + dicomname + '.jpg')
It's raising the following error:
Traceback (most recent call last):
File "/home/wisdom/Desktop/DCM_OUPUT_WRITING/info2.py", line 118, in <module>
img = take_dicom(i)
File "/home/wisdom/Desktop/DCM_OUPUT_WRITING/info2.py", line 28, in take_dicom
final_img = im.save('./Jpeg/' + dicomname + '.jpg')
File "/usr/local/lib/python3.9/dist-packages/PIL/Image.py", line 2240, in save
save_handler(self, fp, filename)
File "/usr/local/lib/python3.9/dist-packages/PIL/JpegImagePlugin.py", line 631, in _save
raise OSError(f"cannot write mode {im.mode} as JPEG") from e
OSError: cannot write mode I;16 as JPEG
How can I solve this?
Regular JPEG uses 8 bits per sample. If your data is 16-bit, you'll need to either:
scale it down (thereby losing radiometric resolution) and use JPEG, or
use a format that supports 16-bit such as PNG or TIFF.
I am trying to load a dataset of images using keras.load_img which returns a PIL Image instance, but am unable to do so due to some reason. The image was created by the following lines of code, after being generated by the imagaug module of python, which returns a numpy array:
img = augmenter(image=image)
img = Image.fromarray(img)
img.save(os.path.join(os.path.dirname(__file__), 'Roll 1_Augmented', 'PaperPrintImgAug' + str(i+1) + '_' + str(j) + '.jpg'))
The iamges seem to be saved successfully and I am able to open them with any image viewer. So I do not think they are corrupted. But I get the following error whenever I try to open the images using load_img:
Traceback (most recent call last):
File "ae.py", line 61, in readImages
img = load_img(folder_path[i], target_size=inputShape)
File "/home/ies/billa/miniconda3/envs/pfprint/lib/python3.6/site-packages/keras_preprocessing/image/utils.py", line 114, in load_img
img = pil_image.open(io.BytesIO(f.read()))
File "/home/ies/billa/miniconda3/envs/pfprint/lib/python3.6/site-packages/PIL/Image.py", line 2896, in open
"cannot identify image file %r" % (filename if filename else fp)
PIL.UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x7f7350df9e08>
I tried various solutions provided online and on stackoverflow, but the situations don't seem to match with mine. Upon downloading the latest version of Pillow, I got the following change in the traceback:
File "/home/ies/billa/miniconda3/envs/pfprint/lib/python3.6/site-packages/keras_preprocessing/image/utils.py", line 114, in load_img
img = pil_image.open(io.BytesIO(f.read()))
File "/home/ies/billa/miniconda3/envs/pfprint/lib/python3.6/site-packages/PIL/Image.py", line 2006, in open
raise IOError("cannot identify image file")
OSError: cannot identify image file
I suspect it might be some issue with the image encoding.
Can someone help me with this please?
EDIT:
The issue was solved by saving the images as png files.
For the issue with JPEG files, the following is the code I used:
from tensorflow.python.keras.preprocessing.image import load_img
def readImages(folder_path):
images = []
for i in range(len(folder_path)):
img = load_img(folder_path[i], target_size=inputShape)
img = np.array(img)
images.append(img)
images = np.array(images)
return images
augdata = glob('/home/ies/billa/Roll 1_Augmented/*')
augmentedImages = readImages(augdata)
I am writing a python script that will be running on the server and will resize images (namely Indesign links). It all works fine, except when I am trying to open bigger tiff files (800 MB).
I am using Pillow's Image.open() in order to resize it, but I am getting MemoryError error. I tried with other libraries like ImageMagick and tifffile with the same results. I could split it in smaller chunks, resize those and then combine them, but I have no idea how to do that without opening file first.
I searched extensively, but cannot find solution that would seem appropriate to my case. I was also observing memory consumption and it doesn't seem to be irregularly high. It's safe to say I am completely lost.
The whole trace goes like this:
Traceback (most recent call last):
File "app.py", line 87, in <module>
convert()
File "X:\Development\Python\zipper\converter.py", line 112, in convert
if saveAsJPEG(file, name + ".jpg"): converted_images = updateCounter(all_images, converted_images)
File "X:\Development\Python\zipper\converter.py", line 37, in saveAsJPEG
print Image.open(a).size
File "C:\Python27\lib\site-packages\PIL\Image.py", line 2266, in open
im = factory(fp, filename)
File "C:\Python27\lib\site-packages\PIL\ImageFile.py", line 97, in __init__
self._open()
File "C:\Python27\lib\site-packages\PIL\TiffImagePlugin.py", line 637, in _open
self._seek(0)
File "C:\Python27\lib\site-packages\PIL\TiffImagePlugin.py", line 672, in _seek
self.tag.load(self.fp)
File "C:\Python27\lib\site-packages\PIL\TiffImagePlugin.py", line 458, in load
data = ImageFile._safe_read(fp, size)
File "C:\Python27\lib\site-packages\PIL\ImageFile.py", line 521, in _safe_read
block = fp.read(min(size, SAFEBLOCK))
MemoryError
Thank you all for any help!
--- EDIT
This is the code that throws error
def saveAsJPEG(file, newfile):
print "\nopening:", file
try:
with Image.open(file) as im:
if not im.size[0] < size[0] or im.size[1] < size[1]:
new_im = im.resize(size, Image.ANTIALIAS)
new_im.save(newfile, 'JPEG', quality=100, dpi=(72, 72))
# Force a memory dump. Otherwise memory will get cluttered up -> I am not sure if this is necessary as it doesn't seem to do anything.
del im
del new_im
collect()
return True
except:
print "image is too big -> try something else. But what?"
# this line below throws error (MemoryError). It was the same without try-except part before.
Image.open(file)
The function is used in for-loop where "images" is array (list) of full file paths (X:\path\to\my\image.tiff)
for file in images:
#gets extension
name = basename(splitext(file)[0])
ext = splitext(file)[1]
# check for extension type and run appropriate function
if ext == '.jpg' or ext == '.jpeg' or ext == '.tif' or ext == '.tiff':
if saveAsJPEG(file, name + ".jpg"): converted_images = updateCounter(all_images, converted_images)
del file, name, ext
TLDR; I'm trying to take a TIFF, resize it, then save it. However it returns an error. This works fine if I change the saved filetype to png or jpg.
System: Windows 7
Tried using both Python 3.4 and 2.7.
Code:
from PIL import Image
try: #test file exists
im = Image.open(r"c:\temp\file.tif")
except:
print("Error opening image")
multiply = 5 #how much bigger
processing = tuple([multiply*x for x in im.size]) #maths
saved = (r"c:\temp\biggerfile.tif") #save location
imB = im.resize((processing)) #resizing
imB.save(saved) #saving
I need to resize a TIFF because I'm using tesseract-ocr, and resizing the image to get a better output. The program seems to work best with a TIFF.
The error I receive is:
_TIFFVSetField: c:\temp\biggerfile.tif: Bad value 2 for "ExtraSamples" tag.
Traceback (most recent call last):
File "step1.py", line 15, in <module>
imB.save(saved)
File "C:\Python34\lib\site-packages\PIL\Image.py", line 1684, in save
save_handler(self, fp, filename)
File "C:\Python34\lib\site-packages\PIL\TiffImagePlugin.py", line 1185, in _save
e = Image._getencoder(im.mode, 'libtiff', a, im.encoderconfig)
File "C:\Python34\lib\site-packages\PIL\Image.py", line 430, in _getencoder
return encoder(mode, *args + extra)
RuntimeError: Error setting from dictionary
Thanks!
Try to install libtiff
http://gnuwin32.sourceforge.net/packages/tiff.htm
File "C:\Python34\lib\site-packages\PIL\TiffImagePlugin.py", line 1185, in _save
e = Image._getencoder(im.mode, 'libtiff', a, im.encoderconfig)
Looks like that's the error that is holding you up. It's trying to access libtiff and you don't have it installed so it's failing.
Had the same issue, when using PIL to combine multiple images to one and adding a label.
I could fix this easily by converting the .tif file to a .png file in MS Paint (pls don't hate me for using MS :D). Quality of the final merged image was not reduced.