opencv not terminating in shell or in jupyter notebook after inshow display image

[danishkhangithub]

this is the code

# import libraries
import cv2

def face_detection():
    # load some pre-trained data on face frontals from opencv (haar cascade algorithm)
    trained_face_data = cv2.CascadeClassifier('./haarcascade_files/haarcascade_frontalface_default.xml')

    # show an image to detect
    cv2.namedWindow('output', cv2.WINDOW_AUTOSIZE)
    img = cv2.imread('./images/rdj.jpg')
    #ims = cv2.resize(img, (110, 540))
    cv2.imshow('Face detector', img)

    cv2.waitKey(0)

    cv2.destroyAllWindows()


    print('completed')

if __name__ == '__main__':
   face_detection()`

and the output is :

(scrpers) (base) danish-khan@danishkhan-Latitude-E6430:~/scrapers/machine_learning1/face_detection1$ python face_detection2.py

and this terminal is not ending even i forcefully want to ends it.

[asmorkalov]

Possibly related: opencv/opencv#20597

[asmorkalov]

@danishkhangithub Thanks for the report.

1. OpenCV handles window closing by (x) button in title incorrectly sometimes. Your code expects keyboard event in waitKey call.
2. If 1. is not the case, please remove destroyAllWindows and try again.
3. Please take a look on related fix I posted. Most probably it fixes the issue. You have to rebuild OpenCV from sources and remove pip-managed packages for OpenCV to exclude conflicts. Please ensure that self-built OpenCV is used with cv.getBuildInformation() call.

[asmorkalov]

@danishkhangithub Have you had a chance to try the solution?

[danishkhangithub]

yes it tried but still not work may this is the issue.

…

On Mon, Sep 13, 2021 at 11:29 AM Alexander Smorkalov < ***@***.***> wrote: @danishkhangithub <https://github.com/danishkhangithub> Have you had a chance to try the solution? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#532 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AJ45NZPDT5P7Z2QL3VBJSP3UBWK6LANCNFSM5C6WM72Q> . Triage notifications on the go with GitHub Mobile for iOS <https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675> or Android <https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub>.

[asmorkalov]

could you give me more information to narrow down the search field:

• Your platform and how you install/build OpenCV
• cv.getBuildInformation() call output in the repro code.
• Any details how you run the code: natively, over SSH, etc.

[asmorkalov]

@danishkhangithub friendly reminder.

[asmorkalov]

Possibly related: opencv/opencv#20822

[vishisht-dubey]

Hey, I want to work on this issue
can u provide some more info??

[DhruvChaudhary13]

you can use this code in order make this code more effective

CODE :

import libraries

import cv2

def face_detection():
# load some pre-trained data on face frontals from opencv (haar cascade algorithm)
trained_face_data = cv2.CascadeClassifier('./haarcascade_files/haarcascade_frontalface_default.xml')

key=cv2.waitKey(1) & 0XFF

# show an image to detect
# cv2.namedWindow('output', cv2.WINDOW_AUTOSIZE)
img = cv2.imread('C:/Users/Dhruv Chaudhary/Desktop/sunpy/apple.jpg')
#ims = cv2.resize(img, (110, 540))
cv2.imshow('Face detector', img)
   
cv2.waitKey(10000)


if key==ord("q"):  # press q in order to exit the GUI window
   cv2.destroyAllWindows()


print('completed')

if name == 'main':
face_detection()