I am running Python 2.7 in Visual Studio 2013. The code previously worked ok when in Spyder, but when I run:
import numpy as np
import scipy as sp
import math as mt
import matplotlib.pyplot as plt
import Image
import random
# (0, 1) is N
SCALE = 2.2666 # the scale is chosen to be 1 m = 2.266666666 pixels
MIN_LENGTH = 150 # pixels
PROJECT_PATH = 'C:\\cimtrack_v1'
im = Image.open(PROJECT_PATH + '\\ST.jpg')
I end up with the following errors:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\cimtrack_v1\PythonApplication1\dr\trajgen.py", line 19, in <module>
im = Image.open(PROJECT_PATH + '\\ST.jpg')
File "C:\Python27\lib\site-packages\PIL\Image.py", line 2020, in open
raise IOError("cannot identify image file")
IOError: cannot identify image file
Why is it so and how may I fix it?
As suggested, I have used the Pillow installer to my Python 2.7. But weirdly, I end up with this:
>>> from PIL import Image
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ImportError: No module named PIL
>>> from pil import Image
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ImportError: No module named pil
>>> import PIL.Image
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ImportError: No module named PIL.Image
>>> import PIL
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ImportError: No module named PIL
All fail!
I had a same issue.
from PIL import Image
instead of
import Image
fixed the issue
So after struggling with this issue for quite some time, this is what could help you:
from PIL import Image
instead of
import Image
Also, if your Image file is not loading and you're getting an error "No file or directory" then you should do this:
path=r'C:\ABC\Users\Pictures\image.jpg'
and then open the file
image=Image.open(path)
In my case.. I already had "from PIL import Image" in my code.
The error occurred for me because the image file was still in use (locked) by a previous operation in my code. I had to add a small delay or attempt to open the file in append mode in a loop, until that did not fail. Once that did not fail, it meant the file was no longer in use and I could continue and let PIL open the file. Here are the functions I used to check if the file is in use and wait for it to be available.
def is_locked(filepath):
locked = None
file_object = None
if os.path.exists(filepath):
try:
buffer_size = 8
# Opening file in append mode and read the first 8 characters.
file_object = open(filepath, 'a', buffer_size)
if file_object:
locked = False
except IOError as message:
locked = True
finally:
if file_object:
file_object.close()
return locked
def wait_for_file(filepath):
wait_time = 1
while is_locked(filepath):
time.sleep(wait_time)
first, check your pillow version
python -c 'import PIL; print PIL.PILLOW_VERSION'
I use pip install --upgrade pillow upgrade the version from 2.7 to 2.9(or 3.0) fixed this.
In my case, the image was corrupted during download (using wget with github url)
Try with multiple images from different sources.
python
from PIL import Image
Image.open()
Often it is because the image file is not closed by last program.
It should be better to use
with Image.open(file_path) as img:
#do something
In my case, it was because the images I used were stored on a Mac, which generates many hidden files like .image_file.png, so they turned out to not even be the actual images I needed and I could safely ignore the warning or delete the hidden files. It was just an oversight in my case.
Just a note for people having the same problem as me.
I've been using OpenCV/cv2 to export numpy arrays into Tiffs but I had problems with opening these Tiffs with PIL Open Image and had the same error as in the title.
The problem turned out to be that PIL Open Image could not open Tiffs which was created by exporting numpy float64 arrays. When I changed it to float32, PIL could open the Tiff again.
If you are using Anaconda on windows then you can open Anaconda Navigator app and go to Environment section and search for pillow in installed libraries and mark it for upgrade to latest version by right clicking on the checkbox.
Screenshot for reference:
This has fixed the following error:
PermissionError: [WinError 5] Access is denied: 'e:\\work\\anaconda\\lib\\site-packages\\pil\\_imaging.cp36-win_amd64.pyd'
Seems like a Permissions Issue. I was facing the same error. But when I ran it from the root account, it worked. So either give the read permission to the file using chmod (in linux) or run your script after logging in as a root user.
In my case there was an empty picture in the folder. After deleting the empty .jpg's it worked normally.
This error can also occur when trying to open a multi-band image with PIL. It seems to do fine with 4 bands (probably because it assumes an alpha channel) but anything more than that and this error pops out. In my case, I fixed it by using tifffile.imread instead.
I had the same issue. In my case, the image file size was 0(zero). Check the file size before opening the image.
fsize = os.path.getsize(fname_image)
if fsize > 0 :
img = Image.open(fname_image)
#do something
In my case the image file had just been written to and needed to be flushed before opening, like so:
img_file.flush()
img = Image.open(img_file.name))
For anyone who make it in bigger scale, you might have also check how many file descriptors you have. It will throw this error if you ran out at bad moment.
For whoever reaches here with the error colab PIL UnidentifiedImageError: cannot identify image file in Google Colab, with a new PIL versions, and none of the previous solutions works for him:
Simply restart the environment, your installed PIL version is probably outdated.
For me it was fixed by downloading the image data set I was using again (in fact I forwarded the copy I had locally using vs-code's SFTP). Here is the jupyter notebook I used (in vscode) with it's output:
from pathlib import Path
import PIL
import PIL.Image as PILI
#from PIL import Image
print(PIL.__version__)
img_path = Path('PATH_UR_DATASET/miniImagenet/train/n03998194/n0399819400000585.jpg')
print(img_path.exists())
img = PILI.open(img_path).convert('RGB')
print(img)
output:
7.0.0
True
<PIL.Image.Image image mode=RGB size=158x160 at 0x7F4AD0A1E050>
note that open always opens in r mode and even has a check to throw an error if that mode is changed.
In my case the error was caused by alpha channels in a TIFF file.
I'll add my particular case.
I was processing images uploaded through multipart/form-data using AWS API Gateway. When I was uploading my images, that had not been giving this error locally, I was observing UnidentifiedImageError exception thrown by PIL when loading uploaded image. In order to fix this error I had to add multipart/form-data within settings of service.
Im working in Google colab, and in had same problem.
UnidentifiedImageError: cannot identify image file '/content/drive/MyDrive/Python/test.jpg'
The problem is that the default version of PIL (as today 24/11/2022) in colab is 9.3.0; but when you do !pip install pillow the version that is updated is 7.1.2.
So, what I did was open a new colab notebook and NOT pip pillow. It worked.
Related
I've read a couple other answers on this, but I'm still stuck. I imagine I'm doing something stupid, but this doesn't work:
import pytesseract
from PIL import Image
def tryTesseract(u):
return(pytesseract.image_to_string(Image.open(u)))
loc = 'C:\\Python\\Lineups\\558.png'
print(pytesseract)
print(tryTesseract(loc))
The first line prints:
<module 'pytesseract' from 'C:\Python\lib\site-packages\pytesseract\init.py'>
But the second prints several lines of error and culminates in:
pytesseract.pytesseract.TesseractNotFoundError: tesseract is not installed or it's not in your PATH. See README file for more information.
This seems weird if the first line works. I BELIEVE I have correctly added it to path though, and it is correctly installed, as in this screenshot:
Full error message:
Edited for exciting new error. I followed user3250052's advice and am now getting a new error (CMD window on top of Python window here:)
from PIL import Image
def tryTesseract(u):
return(pytesseract.image_to_string(Image.open(u)))
loc = os.path.join('C','Python','Lineups','558.png')
pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR'
print(pytesseract)
print(tryTesseract(loc))```
That is a file not fond error.
Try
loc = os.path.join('C','Python','Lineups','558.png')
you might also need
pytesseract.tesseract_cmdloc = r'<full_path_to_your_tesseract_executable>'
I'm trying to read a jpg file using Pillow (Version 3.2.0) in Jupyter notebook (Python 3.4), but it fails with the following error:
OSError: broken data stream when reading image file
I'm using the following code:
from PIL import Image
im = Image.open("/path/to/image.jpeg")
im.show()
It works fine both in the interactive Python shell and using Python 2.7 instead of 3.4.
I've followed these steps already: Using Pillow with Python 3
Anyone an idea what's going on?
Looks like you're not pointing to the directory where your photo is stored.
import os
defaultWd = os.getcwd()
defaultWd # Sets your curretn wd
os.chdir(defaultWd + '\\Desktop') # Points to your photo--e.g., on Desktop
os.getcwd() # Shows change in wd
from PIL import Image
im = Image.open("Mew.jpg")
im.show() # Will plot to your default image viewing software
And another way if you don't want to change current wd:
im = Image.open(os.getcwd() + "\\Desktop\\Mew.jpg")
im.show()
And if you want to plot inline:
from matplotlib.pyplot import imshow
%matplotlib inline
inlinePic = Image.open(os.getcwd() + "\\Desktop\\Mew.jpg")
imshow(inlinePic)
Note: You may also want to simply try typing 'jpg' instead of 'jpeg' as you did above, if your image is in your current working directory. Also, if PIC is not installed, you'll get this error NameError: name 'Image' is not defined.
The problem was related to another import: I was importing Tensorflow before PIL, which caused the problem. Same issue as this one: https://github.com/scikit-image/scikit-image/issues/2000. Changing the order of the imports solved it.
I'm trying to open Image file from PyFileSystem MemoryFS using PIL, I tried to do that like this example and i got the error below:
from PIL import Image
from fs.memoryfs import MemoryFS
fs=MemoryFS()
fs.makedir("test")
out=fs.open("test/file.jpg",'wb')
out.write(someimagefile.read())
out.close()
in=fs.open("test/file.jpg",'rb')
im=Image.open(in) #error: cannot identify image file <IO wrapper for <MemoryFile in <MemoryFS> test/file.jpg>>
however if I don't use a directory (ex. out=fs.open("file.jpg",'wb')) It does work as expected.
What am I doing wrong?
Thanks for your help.
I already get an error using the following line:
from fs.memoryfs import MemoryFS
Probably I don't have that library installed. Do you need this library? You can just open the image without opening it with MemoryFS:
im = Image.open("test/file.jpg")
Side note: I wouldn't use in as variable name, since it is also a Python keyword.
Hi friends i just now installed opencv and checking the basic code but it results in error. The code is
import numpy as np
import cv2
img=cv2.imread('C:\Users\Pravin\Desktop\a.jpeg',1)
cv2.namedWindow('img',cv2.WINDOW_NORMAL)
cv2.Waitkey(10000)
cv2.imshow('cv2.WINDOW_NORMAL',img)
cv2.destoryAllWindows()
The error for cv2.imshow() is
Traceback (most recent call last):
File "<pyshell#3>", line 1, in <module>
cv2.imshow('image',img)
error: ..\..\..\src\opencv\modules\highgui\src\window.cpp:261: error: (-215)
size.width>0 && size.height>0
It was very helpful to me with your answer.
Thanks in advance
Most likely, the imread call didn't succeed. Make sure the image "C:\Users\Pravin\Desktop\a.jpeg" exists. (The extension .jpeg seems unusual, maybe it has to be .jpg?)
Also, as Hyperboreus suggests, please, try using forward slashes in the filename "C:/Users/Pravin/Desktop/a.jpg", or escape backslashes
"C:\\Users\\Pravin\\Desktop\\a.jpg"
The error says that the image you opened doesn't satisfy the condition height > 0 and width > 0. This may have several reasons.
Most of the times, it is due to an inexistent image address given in imread.
Sometimes it may be also because the complier failed to load the image. For example, if you write some random strings in notepad and save the file as a.jpg, the compiler may not be able to load it.
Try this...
import numpy as np
import cv2
img = cv2.imread('E:/Images/ece/1.png',1)
cv2.imshow('image',img)
cv2.waitKey(0)
cv2.destroyAllWindows()
For me it worked when i just changed jpeg to jpg
Try this, may be it will work
import numpy as np
import cv2
img=cv2.imread('C:\Users\Pravin\Desktop\a.jpg',1) #changed image format to jpg
cv2.namedWindow('img',cv2.WINDOW_NORMAL)
cv2.Waitkey(10000)
cv2.imshow('cv2.WINDOW_NORMAL',img)
cv2.destoryAllWindows()
It is because, python compiler cannot find the image in the place. if you copy the image in the python working directory and do this. it worked for me.
# keep image in the current working directory
img=cv2.imread('roi.jpg',1)
cv2.imshow('image',img)
I use uvccapture to take pictures and want to process them with the help of python and the python imaging library (PIL).
The problem is that PIL can not open those images. It throws following error message.
Traceback (most recent call last):
File "process.py", line 6, in <module>
im = Image.open(infile)
File "/usr/lib/python2.7/dist-packages/PIL/Image.py", line 1980, in open
raise IOError("cannot identify image file")
IOError: cannot identify image file
My python code looks like this:
import Image
infile = "snap.jpg"
im = Image.open(infile)
I tried to save the images in different formats before processing them. But this does not help. Also changing file permissions and owners does not help.
The only thing that helps is to open the images, for example with jpegoptim, and overwriting the old image with the optimized one. After this process, PIL can deal with these images.
What is the problem here? Are the files generated by uvccapture corrupt?
//EDIT: I also found out, that it is not possible to open the images, generated with uvccapture, with scipy. Running the command
im = scipy.misc.imread("snap.jpg")
produces the same error.
IOError: cannot identify image file
I only found a workaround to this problem. I processed the captured pic with jpegoptim and afterwords PIL could deal with the optimized image.