Question #228458 on Sikuli changed:
https://answers.launchpad.net/sikuli/+question/228458
Status: Open => Answered
RaiMan proposed the following answer:
In Sikuli you have the following measures to improve robustness:
--1. only search in the region, where you expect your targets to appear
--2. use shots, that concentrate on the key visual aspects of the image - as
little (unnecessary) background as possible
--3. work with similarities as high as possible (values > 0.9), to avoid false
positives
with your current challenge of same symbols with alternating background in a
column measures 1 and 2 are mandatory.
The similarity should not be a problem (but might be) with an optimized
screenshot. This is what you have to test and find out.
example:
- using a shot made on white background
- match similarity on white background stripes will be 1.0
- match similarity on purple background might be between 0.85 and 0.95 (e.g.
0.92)
- using a shot made on purple background the results will be vice-versa
and may be different.
So you will use:
matches = column_region.findAll(Pattern(shot).similar(0.9))
This should give you all symbol matches (which you can sort according to
the answer of j-the-k in your other question).
And in the loop, you can check the similarity and even know, wether it
is a white or a purple strie you are in currently.
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