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authorDaniel Scally <dan.scally@ideasonboard.com>2024-05-02 14:30:43 +0100
committerKieran Bingham <kieran.bingham@ideasonboard.com>2024-05-08 12:54:56 +0100
commit87353f2bba282dbe52d610b1de1c2a638f70fc09 (patch)
treea162d999456768827089ae8786ac764d75534a46 /utils/tuning/libtuning/image.py
parent24247a12c7d354087ff8a02b5dc2cc9c916f2e00 (diff)
ipa: ipu3: Derive ipu3::algorithms::Agc from AgcMeanLuminance
In preparation for switching to a derivation of AgcMeanLuminance, add a function to parse and store the statistics for easy retrieval in an overriding estimateLuminance() function. Now that we have a MeanLuminanceAgc class that centralises our AEGC algorithm, derive the IPU3's Agc class from it and plumb in the necessary framework to enable it to be used. For simplicity's sake this commit switches the algorithm to use the derived class, but does not remove the bespoke functions at this time. Reviewed-by: Stefan Klug <stefan.klug@ideasonboard.com> Signed-off-by: Daniel Scally <dan.scally@ideasonboard.com> Reviewed-by: Jacopo Mondi <jacopo.mondi@ideasonboard.com> Signed-off-by: Kieran Bingham <kieran.bingham@ideasonboard.com>
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