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[Patrick <question402356@xxxxxxxxxxxxxxxxxxxxx>]

Question #402356 on Sikuli changed:
https://answers.launchpad.net/sikuli/+question/402356

    Status: Answered => Open

Patrick is still having a problem:
I dont think the proposed solution can do properly the job as find could
return other areas than the piece of the one of concern. That's why I need
to be able to add a wildcard area (a mask on some parts of the area).
That's why a were thinking to use the transparency of the PNG files as
mask. Moreover, by now, using PNG files with transparency as reference
image doesn't work and I have to recreate new images by adding a background
on them.

I found a discussion on this topic on the opencv forum (
http://answers.opencv.org/question/53781/roi-always-a-rectangle/#53792)

"The ROI of a mat is not needed to be always a rectangle, but cv::Mat is
always a matrix, or a rectangle image, so you cannot have a round image,
but you may have a circle on a black background that contains the
information that you want. For having this, you have to use a maks:

cv::Mat image = cv::imread("img.jpg");
cv::Mat mask = cv::Mat::zeros(image.size(), CV_8UC1);
cv::Point circleCenter(mask.cols / 2, mask.rows / 2);int radius =
std::min(mask.cols, mask.rows);
cv::circle(mask, circleCenter, radius, CV_RGB(255, 255, 255));
cv::Mat imagePart = cv::Mat::zeros(image.size(), image.type());
image.copyTo(imagePart, mask);


2016-09-27 13:28 GMT+02:00 RaiMan
<question402356@xxxxxxxxxxxxxxxxxxxxx>:

> Your question #402356 on Sikuli changed:
> https://answers.launchpad.net/sikuli/+question/402356
>
>     Status: Open => Answered
>
> RaiMan proposed the following answer:
> sorry, currently not.
>
> A possible solution:
> - divide the "frame" into 2 or more images
> - search with exists(partXofFrame, 0) for all image parts
> - validate the matches, to be sure you got what you want
> - create the resulting region from the matches
>
> ... can be packed into a function
>
> A similar solution is possible with the observe feature.
>
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>
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