https://bugs.kde.org/show_bug.cgi?id=465101

--- Comment #6 from richarda...@hotmail.com ---
(In reply to Maik Qualmann from comment #3)
> The header is labeled "average" similarity. It adds the similarities
> relative to the reference image and then divides by the number of items in
> the list. So it's not the adjusted similarity range value.
> 
> https://invent.kde.org/graphics/digikam/-/blob/master/core/utilities/
> fuzzysearch/findduplicatesalbumitem.cpp#L148
> 
> Maik

Ooookay I had a look at that link but I haven't done any programming for years
other than writing  a bit of SQL so it would take me a while to find my way
round that code.

I'm not sure what you are saying but I am fairly sure on previous versions (and
I used to use Digikam on Windows for a few years) that the results displayed
were between the settings entered in the Range criteria. 

Also although my screenshot only shows 2 items for each result that's because I
initially sorted by the Items column descending and then the Avg Similarity
also descending and dealt with most results with large number of items and
there were results with 10 items and the Avg Similarity was 1.00 whereas you
seem to imply the more Items there are the lower the number.

In case you are wondering why I have so many duplicates, I stuffed up and
imported a whole load of images from some different sources that I didn't
realise were actually the same. Now I'm cleaning up the mess :-)

I would think from an end user point of view if I enter criteria in a search I
expect the results to be within that criteria.

Cheers, Richard

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