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<title>opentrack.git/tracker-neuralnet/tests.cpp, branch trackhat-opentrack-3.2</title>
<subtitle>head tracking software for Windows and Linux</subtitle>
<id>http://ananke.misaki.pl/cgit/opentrack.git/atom?h=trackhat-opentrack-3.2</id>
<link rel='self' href='http://ananke.misaki.pl/cgit/opentrack.git/atom?h=trackhat-opentrack-3.2'/>
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<updated>2022-11-01T12:51:35Z</updated>
<entry>
<title>tracker/nn: Tweaks, refactoring, a deadzone filtering and support for uncertainty estimation</title>
<updated>2022-11-01T12:51:35Z</updated>
<author>
<name>Michael Welter</name>
<email>michael@welter-4d.de</email>
</author>
<published>2022-09-11T18:55:26Z</published>
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<id>urn:sha1:08f1fcad1c74e25f97641a0ccbd229b267ec528c</id>
<content type='text'>
* Add rudimentary test for two functions .. maybe more in future
* Fix the rotation correction from vertical translation
* Move preview class to new files
* Move neural network model adapters to new files
* Add utility functions for opencv
* Query the model inputs/outputs by name to see what is available
* Supports outputs for standard deviation of the data distribution -
  What you get if you let your model output the full parameters of a
  gaussian distribution (depending on the inputs) and fit it with
  negative log likelihood loss.
* Disabled support for sequence models
* Add support for detection of eye open/close classification.
  Scale uncertainty estimate up if eyes closed
* Add a deadzone filter which activates if the model supports uncertainty
  quantification. The deadzone scales becomes larger the more uncertain
  the model/data are. This is mostly supposed to be useful to suppress
  large estimate errors when the user blinks with the eyes
* Fix distance being twice of what it should have been
</content>
</entry>
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