Question #242881 on Sikuli changed: https://answers.launchpad.net/sikuli/+question/242881
RaiMan proposed the following answer: lets say you have 2 buttons (btn1 and btn2) then the following workflow will lead to the right Pattern setup: #take the 2 btn shots: imgBtn1 = "<shot of btn1> imgBtn2 = "<shot of btn2> print "btn1 in around btn1", selectRegion().find(imgBtn1) # select a region around btn1 print "btn1 in around btn2", selectRegion().find(imgBtn1) # select a region around btn2 print "btn2 in around btn1", selectRegion().find(imgBtn2) # select a region around btn1 print "btn2 in around btn2", selectRegion().find(imgBtn2) # select a region around btn2 take care, that the selected regions are larger than the buttons on all sides. This will give you the similarity scores of all 4 possible situations. Now you can decide about the threshold similarity to use with the pattern. click(Pattern(imgBtn1).similar(0.95)) # 0.95 is an example Generally it is always a possibility with version 1.0.1+ (RC3 has a bug here) to try with click(Pattern(imgBtn1).exact()) but this approach needs "optimal" image shots: as little background as possible, concentrate on the key visual aspects of the image (for buttons this usually is a shot, that contains not more than the button's frame). And even more general: Use the IDE's Preview, to find out the similarity threshold. -- You received this question notification because you are a member of Sikuli Drivers, which 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
