cropper.estimate_largest_interior_rectangle takes an eternity on Windows 11

[dfvr1994]

Great work,

Perhaps cropper.estimate_largest_interior_rectangle could be computed much faster by:

# transform the panorama image to grayscale and threshold it 
gray = cv2.cvtColor(result, cv2.COLOR_BGR2GRAY)
thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY)[1]

# Finds contours from the binary image
cnts = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
cnts = imutils.grab_contours(cnts)

# get the maximum contour area
c = max(cnts, key=cv2.contourArea)

# get a bbox from the contour area
(x, y, w, h) = cv2.boundingRect(c)

# crop the image to the bbox coordinates
result = result[y:y + h, x:x + w] 

[lukasalexanderweber]

It runs an eternity since the functionality is compiled on the First Run. On the Second it should be REALY fast. I just need a way to inform the User that numba is compiling

[lukasalexanderweber]

And I will hava a Look on your approach, thanks!

[dfvr1994]

I left it running for like 8 hours and did not complete. Is there any problem with running it on Windows 11? Any way to compile manually?

[dfvr1994]

Looks like the problem is on Windows. It run perfectly on Linux

[lukasalexanderweber]

thanks for checking. I'm not able to reproduce since I'm running Windows 10