Question #688961 on Sikuli changed: https://answers.launchpad.net/sikuli/+question/688961
RaiMan proposed the following answer: What you want to know is when in a small region, that usually shows some background, some pattern appears, that can be distinguished from the background (meaning: some to many of the pixels show a significant different color). The current implementation of findChanges is not really appropriate for your situation, since: - both images are converted to grayscale - pixels are isolated, that differ more than +-3 in the range of 0 .. 255 (PIXEL_DIFF) - if more than 5 pixels are detected, then the evaluation of rectangles is done (IMAGE_DIFF) In your situation, the pixels of the background are constantly changing in a way, that is detected by findChanges. I played a bit around with different DIFF settings: PIXELDIFF = 20 IMAGDIFF = 50 comes near to what you want (97 and 98 are detected, but also 101) I will add the 2 settings as parameters to findChanges. Available in 2.0.4 the next days. BTW: you Python OpenCV example has a problem: subtract will set results <0 to null and >255 to 255. hence it depends on the order of the 2 given mats. We use absDiff to calculate the pixel diffs. -- You received this question notification because your team Sikuli Drivers is an answer contact for Sikuli. _______________________________________________ Mailing list: https://launchpad.net/~sikuli-driver Post to : [email protected] Unsubscribe : https://launchpad.net/~sikuli-driver More help : https://help.launchpad.net/ListHelp
