[PATCH v2 16/17] libipa: awb_bayes: Remove overly verbose log messages

Dan Scally dan.scally at ideasonboard.com
Fri Feb 14 18:28:44 CET 2025


On 23/01/2025 11:41, Stefan Klug wrote:
> Logging every search step is too verbose even with debug messages
> enabled and it hides the more important messages (min max values of
> errors and likelihoods). Remove the debug messages in a separate commit,
> so that it can easily be reverted if needed.
>
> Signed-off-by: Stefan Klug <stefan.klug at ideasonboard.com>
Reviewed-by: Daniel Scally <dan.scally at ideasonboard.com>
>
> ---
>
> Changes in v2:
> - Added this commit
> ---
>   src/ipa/libipa/awb_bayes.cpp | 13 -------------
>   1 file changed, 13 deletions(-)
>
> diff --git a/src/ipa/libipa/awb_bayes.cpp b/src/ipa/libipa/awb_bayes.cpp
> index aaa8c7a663ad..6b88aebeffb5 100644
> --- a/src/ipa/libipa/awb_bayes.cpp
> +++ b/src/ipa/libipa/awb_bayes.cpp
> @@ -330,12 +330,6 @@ double AwbBayes::coarseSearch(const ipa::Pwl &prior, const AwbStats &stats) cons
>   		errorLimits.record(delta2Sum);
>   		priorLogLikelihoodLimits.record(priorLogLikelihood);
>   
> -		LOG(Awb, Debug) << "Coarse search t: " << t
> -				<< " gains: " << gains
> -				<< " error: " << delta2Sum
> -				<< " prior: " << priorLogLikelihood
> -				<< " likelihood: " << finalLogLikelihood;
> -
>   		points.push_back({ { t, finalLogLikelihood } });
>   		if (points.back().y() < points[bestPoint].y())
>   			bestPoint = points.size() - 1;
> @@ -453,13 +447,6 @@ void AwbBayes::fineSearch(double &t, double &r, double &b, ipa::Pwl const &prior
>   		double delta2Sum = stats.computeColourError(gains);
>   		errorLimits.record(delta2Sum);
>   		double finalLogLikelihood = delta2Sum - priorLogLikelihood;
> -		LOG(Awb, Debug)
> -			<< "Fine search t: " << tTest
> -			<< " r: " << rbTest[0]
> -			<< " b: " << rbTest[1]
> -			<< " offset: " << bestOffset
> -			<< " likelihood: " << finalLogLikelihood
> -			<< (finalLogLikelihood < bestLogLikelihood ? " NEW BEST" : "");
>   
>   		if (bestT == 0 || finalLogLikelihood < bestLogLikelihood) {
>   			bestLogLikelihood = finalLogLikelihood;


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