I'm using opencv 2.4.2, python 2.7 The following simple code created a window of the correct name, but its content is just blank and doesn't show the image:
import cv2
img=cv2.imread('C:/Python27/03323_HD.jpg')
cv2.imshow('ImageWindow',img)
does anyone knows about this issue?
This question is related to
python
opencv
image-processing
If you choose to use "cv2.waitKey(0)", be sure that you have written "cv2.waitKey(0)" instead of "cv2.waitkey(0)", because that lowercase "k" might freeze your program too.
I also had a -215 error. I thought imshow was the issue, but when I changed imread to read in a non-existent file I got no error there. So I put the image file in the working folder and added cv2.waitKey(0) and it worked.
imshow()
only works with waitKey()
:
import cv2
img = cv2.imread('C:/Python27/03323_HD.jpg')
cv2.imshow('ImageWindow', img)
cv2.waitKey()
(The whole message-loop necessary for updating the window is hidden in there.)
error: (-215) size.width>0 && size.height>0 in function imshow
This error is produced because the image is not found. So it's not an error of imshow function.
Method 1:
The following code worked for me. Just adding the destroyAllWindows() didn't close the window. Adding another cv2.waitKey(1) at the end did the job.
im = cv2.imread("./input.jpg")
cv2.imshow("image", im)
cv2.waitKey(0)
cv2.destroyAllWindows()
cv2.waitKey(1)
credit : https://stackoverflow.com/a/50091712/8109630
Note for beginners:
Method 2:
If you want to display on the Jupyter notebook.
from matplotlib import pyplot as plt
import cv2
im = cv2.imread("./input.jpg")
color = cv2.cvtColor(im, cv2.COLOR_BGR2RGB)
plt.imshow(color)
plt.title('Image')
plt.show()
I faced the same issue. I tried to read an image from IDLE and tried to display it using cv2.imshow()
, but the display window freezes and shows pythonw.exe
is not responding when trying to close the window.
The post below gives a possible explanation for why this is happening
"Basically, don't do this from IDLE. Write a script and run it from the shell or the script directly if in windows, by naming it with a .pyw extension and double clicking it. There is apparently a conflict between IDLE's own event loop and the ones from GUI toolkits."
When I used imshow()
in a script and execute it rather than running it directly over IDLE, it worked.
If you have not made this working, you better put
import cv2
img=cv2.imread('C:/Python27/03323_HD.jpg')
cv2.imshow('Window',img)
cv2.waitKey(0)
into one file and run it.
You've got all the necessary pieces somewhere in this thread:
if cv2.waitKey(): cv2.destroyAllWindows()
works fine for me in IDLE.
For me waitKey() with number greater than 0 worked
cv2.waitKey(1)
You must use cv2.waitKey(0)
after cv2.imshow("window",img)
. Only then will it work.
import cv2
img=cv2.imread('C:/Python27/03323_HD.jpg')
cv2.imshow('Window',img)
cv2.waitKey(0)
I found the answer that worked for me here: http://txt.arboreus.com/2012/07/11/highgui-opencv-window-from-ipython.html
If you run an interactive ipython session, and want to use highgui windows, do cv2.startWindowThread() first.
In detail: HighGUI is a simplified interface to display images and video from OpenCV code. It should be as easy as:
import cv2
img = cv2.imread("image.jpg")
cv2.startWindowThread()
cv2.namedWindow("preview")
cv2.imshow("preview", img)
This is how I solved it:
import cv2
from matplotlib import pyplot
img = cv2.imread('path')
pyplot.imshow(img)
pyplot.show()
I had the same 215 error, which I was able to overcome by giving the full path to the image, as in, C:\Folder1\Folder2\filename.ext
add cv2.waitKey(0)
in the end.
If you are running inside a Python console, do this:
img = cv2.imread("yourimage.jpg")
cv2.imshow("img", img); cv2.waitKey(0); cv2.destroyAllWindows()
Then if you press Enter on the image, it will successfully close the image and you can proceed running other commands.
Doesn't need any additional methods after waitKey(0)
(reply for above code)
import cv2
img=cv2.imread('C:/Python27/03323_HD.jpg')
cv2.imshow('ImageWindow',img)
cv2.waitKey(0)
Window appears -> Click on the Window & Click on Enter. Window will close.
Source: Stackoverflow.com