80ac19a507
The interQuantileMean() is supposed to return a weighted mean value between two quantiles. This works for fine histograms, but fails for coarse histograms and small quantile ranges because the weight is always taken from the lower border of the bin. Fix that by rewriting the algorithm to calculate a lower and upper bound for every (partial) bin that goes into the mean calculation and weight the bins by the middle of these bounds. Signed-off-by: Stefan Klug <stefan.klug@ideasonboard.com> Acked-by: Kieran Bingham <kieran.bingham@ideasonboard.com> Reviewed-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
19 lines
743 B
Meson
19 lines
743 B
Meson
# SPDX-License-Identifier: CC0-1.0
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libipa_test = [
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{'name': 'fixedpoint', 'sources': ['fixedpoint.cpp']},
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{'name': 'histogram', 'sources': ['histogram.cpp']},
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{'name': 'interpolator', 'sources': ['interpolator.cpp']},
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]
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foreach test : libipa_test
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exe = executable(test['name'], test['sources'],
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dependencies : [libcamera_private, libipa_dep],
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implicit_include_directories : false,
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link_with : [test_libraries],
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include_directories : [test_includes_internal,
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'../../../src/ipa/libipa/'])
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test(test['name'], exe, suite : 'ipa',
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should_fail : test.get('should_fail', false))
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endforeach
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