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Message #55778
Re: [Question #692519]: findChanges has no function
Question #692519 on Sikuli changed:
https://answers.launchpad.net/sikuli/+question/692519
Status: Answered => Solved
Michael Böhm confirmed that the question is solved:
Dear RaiMan,
Thanks for the script, it helped me a lot.
Following was my mistake:
*) This part of the script did not print out the matches. Your solution of looping through works fine.
while f.hasNext(): # does NOT work, please review your docs
match=f.next()
print "Found:",match
(I copied from your documentation
https://sikulix-2014.readthedocs.io/en/latest/finder.html#Finder.findChanges
Please revise your docs.)
*) I further found an issue in your above script:
On my PC (2.0.4) I needed to use:
f = Finder(Image.create(img1))
to make it work. (I know its a bug, but for completeness sake).
*) as the documentation and samplescripts for findChanges are quite
difficult to find, here is my working example to compare images on the
screen.
*) documentation of
f.setFindChangesPixelDiff(40)# to adjust PIXEL_DIFF # on documentationpage THIS is missing (typing error)
f.setFindChangesImageDiff(5)# to adjust IMAGE_DIFF - seems to have no function at all, I did not find any differences in changing it to any value
It lets you select a region, finds the right region on the left side of that region, finds all the changes, filters out the smaller ones and double matches and compares the results to doublecheck. Thats needed if these images are not totally the same bit-wise.
I hope this helps somebody.
Reg=selectRegion()
RegNeu=Region(Reg2.getLastMatch().getX(),Reg2.getLastMatch().getY(),Reg.getW(),Reg.getH())
Reg.highlight()
RegNeu.highlight()
wait(1)
Reg.highlight()
RegNeu.highlight()
Settings.MinSimilarity = 0.85 # for the doublecheck
matches=checkDifference(Reg,RegNeu)
for match in matches:
match.highlightOn()
for match in matches:
if not RegNeu.exists(capture(match)):
mouseMove(match.getCenter())
print match
else:
match.highlightOff()
print RegNeu.getLastMatch()
wait(5)
def checkDifference(Reg,RegNeu,size=30):
print Reg,RegNeu
RegNeu.setW(Reg.getW()) # ensure same size
RegNeu.setH(Reg.getH()) # ensure same size
img1=capture(Reg)
img2=capture(RegNeu)
f = Finder(Image.create(img1)) # Image.create due to a bug, might not be needed later
#both images are converted to grayscale
#only pixels whose gray value differs +-3 (PIXEL_DIFF) are looked at
#if more than 5 pixels are detected (IMAGE_DIFF) a change is assumed
f.setFindChangesPixelDiff(40)# to adjust PIXEL_DIFF
f.setFindChangesImageDiff(5)# to adjust IMAGE_DIFF - seems to have no function at all
changes = f.findChanges(img2)
print "changes:", len(changes)
matches=[]
for i,match in enumerate(changes[1:]):
match.moveTo(Location(match.getX()+Reg.getX(),match.getY()+Reg.getY()))
if match.getW()>size or match.getH()>size:
print "Right size:",i,match
matches_temp=[]
addMatch=True
for t,compareMatch in enumerate(matches):
biggerMatch=isRegionOverlap(compareMatch,match)
if biggerMatch:
if biggerMatch==compareMatch:
addMatch=False # drop adding smaller ones
else:
matches_temp.append(compareMatch)
matches=matches_temp
if addMatch: matches.append(match)
print "real changes:", len(matches)
return matches
def isRegionOverlap(Reg1, Reg2): # find out wether Region1 overlaps Region2
R1=[Reg1.getX(),Reg1.getY(),Reg1.getBottomRight().getX(),Reg1.getBottomRight().getY()]
R2=[Reg2.getX(),Reg2.getY(),Reg2.getBottomRight().getX(),Reg2.getBottomRight().getY()]
if (R1[0]>=R2[2]) or (R1[2]<=R2[0]) or (R1[3]<=R2[1]) or (R1[1]>=R2[3]):
return False
else:
return True
def isRegionCompleteOverlap(Reg1, Reg2): # find out wether Region1 is completely inside Region2 or viceversa
R1=[Reg1.getX(),Reg1.getY(),Reg1.getBottomRight().getX(),Reg1.getBottomRight().getY()]
R2=[Reg2.getX(),Reg2.getY(),Reg2.getBottomRight().getX(),Reg2.getBottomRight().getY()]
print Reg1,Reg2
print R1,R2
if (R1[0]<=R2[0]<=R2[2]<=R1[2]) and (R1[1]<=R2[1]<=R2[3]<=R1[3]):
return Reg2 #True return bigger one
else:
if (R2[0]<=R1[0]<=R1[2]<=R2[2]) and (R2[1]<=R1[1]<=R1[3]<=R2[3]):
return Reg1 #True return bigger one
else:
return False
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