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[RaiMan <question259550@xxxxxxxxxxxxxxxxxxxxx>]

Question #259550 on Sikuli changed:
https://answers.launchpad.net/sikuli/+question/259550

RaiMan proposed the following answer:
@comment #7
@Eugene
Ok, now I understand, what you mean with "solved in Java API"

in class Location there is a method
getColor()

that internally uses the Robot feature you found and returns a
java.awt.Color object.

So your solution can be made a bit smoother (no need for the Robot):

def findWithColor(img, reg=SCREEN, color=Color(255,255,255), probe=[0,0], debug=False):
    res=None
    reg.findAll(img)
    found=list(reg.getLastMatches())
    for but in found:
        probePoint=but.getCenter().offset(probe[0],probe[1])
        myColor=probePoint.getColor()
        if debug:
            print "color at "+str(probePoint.x)+":" +str(probePoint.y)+":",myColor
        if myColor==color:
            res=but
            if not debug:
                break
    return(res) 

For a convenient usage on the scripting level, getColor() should return
a list of the RGB values, so you could simply use (no ref to any java
stuff)

if (255, 255, 255) = somePoint.getColore():
    print "the spot is white"

--- One more thing:
Again this is only a workaround for the fact, that currently small differences between images (in the sense of OpenCV::matchTemplate()) cannot be detected with Sikuli's weak similariity score implementation (see the other comments above).

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