I have 2 python files and one picture:
functions.py
import numpy as np
import cv2
def imageinput(image_name_with_extension):
img = cv2.imread(image_name_with_extension,1)
grayscale = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
cv2.imshow("grayscaled.jpg",grayscale)
my picture: image1.jpg
and the next python file:
main.py
import numpy as np
import cv2
from functions import imageinput
print(imageinput(image1.jpg))
and the following error message:
print(imageinput(image1.jpg))
NameError: name 'image1' is not defined
This is a simplified example of my problem. In this example the functions.py make my picture grayscale and then show me the grayscaled picture in a separate window. My problem is though i have 10 picture and i want my main.py work like this:
import numpy as np
import cv2
from functions import imageinput
print(imageinput(image1.jpg))
print(imageinput(image2.jpg))
print(imageinput(image3.jpg))
print(imageinput(image4.jpg))
print(imageinput(image5.jpg))
print(imageinput(image6.jpg))
print(imageinput(image7.jpg))
print(imageinput(image8.jpg))
print(imageinput(image9.jpg))
print(imageinput(image10.jpg))
I just want all my pictures work separately with the function i described above, but i get that error message. How can i solve this problem or what did i write wrong?
I use the following versions: Python 3.6.0 and OpenCV 4.1.1.26
Put the image file name between quotation marks.
print(imageinput('image1.jpg'))
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.
I have a 16 bit RGB tiff image and i wish to read in PIL in order to apply the filter BLUR and SHARPEN, but when i run the fuction to read the image i get the error message IOError: cannot identify image file 'C:\cdraw\test16bit.tiff'
from PIL import Image
myfile = 'C:\\cdraw\\test16bit.tiff'
myimage = Image.open(myfile)
Traceback (most recent call last):
File "<input>", line 1, in <module>
File "C:\Python27\lib\site-packages\PIL\Image.py", line 2330, in open
% (filename if filename else fp))
IOError: cannot identify image file 'C:\\cdraw\\test16bit.tiff'
I am able to import the RGB 16-bit TIFF image using scikit-image: Image processing in Python but i am not able to convert the numpy.array in a PIL object if this is possible
from skimage import io
im = io.imread(myfile)
im.dtype
dtype('uint16')
im.shape
(4024L, 6024L, 3L)
It seems to be some issues with PIL and 16 bits tiffs.
However you seem to want some very classical filters, that you can find in other libraries.
What you can do is import with skimage (or matplotlib) and process your image with skimage or scipy.
you can find a lot of documentation here for scipy image processing : http://scipy-lectures.github.io/advanced/image_processing/#blurring-smoothing
and for skimage : http://scikit-image.org/docs/dev/auto_examples/applications/plot_rank_filters.html
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 try to use SimpleCV example's code(http://www.simplecv.org/), which shows the SimpleCV threshold function, the threshold method sets each pixel in an image to black or white depending on its brightness.
But it doesn't work
Error like this:
ERROR:
Traceback (most recent call last):
File "Camera_1.py", line 37, in <module>
img = Image('http://i.imgur.com/lfAeZ4n.png')
File "c:\Python27\lib\site-packages\SimpleCV\ImageClass.py", line 686, in __in
it__
`source = pil.open(im).convert("RGB")`
NameError: global name 'pil' is not defined
Code like this:
from SimpleCV import Image, Color, Display
# Make a function that does a half and half image.
def halfsies(left,right):
result = left
# crop the right image to be just the right side.
crop = right.crop(right.width/2.0,0,right.width/2.0,right.height)
# now paste the crop on the left image.
result = result.blit(crop,(left.width/2,0))
# return the results.
return result
# Load an image from imgur.
img = Image('http://i.imgur.com/lfAeZ4n.png')
# binarize the image using a threshold of 90
# and invert the results.
output = img.binarize(90).invert()
# create the side by side image.
result = halfsies(img,output)
# show the resulting image.
result.show()
# save the results to a file.
result.save('juniperbinary.png')
Code in here
You need to install the Python Imaging Library (PIL), which is a 3rd party module. I think SimpleCV is supposed to install PIL as part of the overall installation process, but PIL is one of those weirder programs to set up.
Try typing in the following from the command line:
pip install pil
Alternatively, you can install using the binary.
If that still doesn't work, try installing pillow, which is a friendlier and actively-developed fork of PIL:
pip install pillow