libipa: awb_bayes: Remove overly verbose log messages

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@ideasonboard.com>
Reviewed-by: Paul Elder <paul.elder@ideasonboard.com>
Reviewed-by: Daniel Scally <dan.scally@ideasonboard.com>
This commit is contained in:
Stefan Klug 2025-01-23 12:41:06 +01:00
parent c2059585f3
commit d98f3512ec

View file

@ -329,12 +329,6 @@ double AwbBayes::coarseSearch(const ipa::Pwl &prior, const AwbStats &stats) cons
errorLimits.record(delta2Sum); errorLimits.record(delta2Sum);
priorLogLikelihoodLimits.record(priorLogLikelihood); priorLogLikelihoodLimits.record(priorLogLikelihood);
LOG(Awb, Debug) << "Coarse search t: " << t
<< " gains: " << gains
<< " error: " << delta2Sum
<< " prior: " << priorLogLikelihood
<< " likelihood: " << finalLogLikelihood;
points.push_back({ { t, finalLogLikelihood } }); points.push_back({ { t, finalLogLikelihood } });
if (points.back().y() < points[bestPoint].y()) if (points.back().y() < points[bestPoint].y())
bestPoint = points.size() - 1; bestPoint = points.size() - 1;
@ -452,13 +446,6 @@ void AwbBayes::fineSearch(double &t, double &r, double &b, ipa::Pwl const &prior
double delta2Sum = stats.computeColourError(gains); double delta2Sum = stats.computeColourError(gains);
errorLimits.record(delta2Sum); errorLimits.record(delta2Sum);
double finalLogLikelihood = delta2Sum - priorLogLikelihood; 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) { if (bestT == 0 || finalLogLikelihood < bestLogLikelihood) {
bestLogLikelihood = finalLogLikelihood; bestLogLikelihood = finalLogLikelihood;