[Digikam-devel] libkface

[Gilles Caulier]

Tobias,

Following a recent private discussion between Marcel and me about
libkface, I resumed important details in DESIGN file just push in
git/master.

Take a look here and comment please :

https://projects.kde.org/projects/extragear/libs/libkface/repository/revisions/master/entry/DESIGN

Best

Gilles Caulier

2014-06-23 6:00 GMT+02:00 Gilles Caulier <caulier.gilles at gmail.com>:
> Can you run Recognize tool into valgrind to see if memory leak is detected ?
>
> Do you use last code from libkface that is review a lots recently,
> which use revision number 3.1.0 ?
>
> best
>
> Gilles caulier
>
> 2014-06-23 1:00 GMT+02:00 Tobias Leupold <tobias.leupold at web.de>:
>> The face detection part I added to the KPA code can be found on
>> https://github.com/l3u/kphotoalbum/commit/04f6a995237d21990e25d282c78f15abab6d3106
>> But this was no problem and was "simply working".
>>
>> The problems I had -- the exponential processing time growth and the massive
>> HD usage -- appeared when I used the "recognize.cpp" program from the libkface
>> sources (located in "test/"). I simply did some "./recognize train Name
>> image.jpg", and, as said, I got massive performance problems with more than
>> about 10 training images (each time, only the face part of the image was used,
>> as detected by the routine from my above code, that does the same thing as the
>> "recognize.cpp" program from "test/").
>>
>> So I didn't write recognition code yet ...
>>
>> Tobias
>>
>>> There are no more docs than the API docs in the header files. Recognition is
>>> a moving target, we have some bugs in digikam here as well.
>>>
>>> But even if we are unsure about the quality of recognition that is currently
>>> available, there's certainly some easier problem, learning is usually
>>> pretty fast and, IIRC, of  O(1) complexity.
>>>
>>> Is your code in git somewhere?
>>>
>>> Marcel
>>
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