[{"id":33207,"web_url":"https://patchwork.libcamera.org/comment/33207/","msgid":"","date":"2025-01-27T11:47:55","subject":"Re: [PATCH v2 17/17] libipa: awb_bayes: Change the probabilities\n\tfrom log space into linear space","submitter":{"id":17,"url":"https://patchwork.libcamera.org/api/people/17/","name":"Paul Elder","email":"paul.elder@ideasonboard.com"},"content":"On Thu, Jan 23, 2025 at 12:41:07PM +0100, Stefan Klug wrote:\n> The original code used to specify the probabilities in log space and\n> scaled for the RaspberryPi hardware with 192 AWB measurement points.\n> This is reasonable as the whole algorithm makes use of unitless numbers\n> to prefer some colour temperatures based on a lux level. These numbers\n> are then hand tuned with the specific device in mind.\n> \n> This has two shortcomings:\n> \n> 1. The linear interpolation of PWLs in log space is mathematically\n> incorrect. The outcome might still be ok, as both spaces (log and\n> linear) are monotonic, but it is still not \"right\".\n> \n> 2. Having unitless numbers gets more error prone when we try to\n> harmonize the behavior over multiple platforms.\n> \n> Change the algorithm to interpret the numbers as being in linear space.\n> This makes the interpolation mathematically correct at the expense of a\n> few log operations.\n> \n> To account for that change, update the numbers in the tuning example\n> file with the linear counterparts scaled to one AWB zone measurement.\n> \n> Signed-off-by: Stefan Klug \n\nReviewed-by: Paul Elder \n\n> \n> ---\n> \n> Changes in v2:\n> - Added this commit\n> ---\n> src/ipa/libipa/awb.cpp | 5 +++--\n> src/ipa/libipa/awb_bayes.cpp | 8 ++++++--\n> utils/tuning/config-example.yaml | 12 ++++++------\n> 3 files changed, 15 insertions(+), 10 deletions(-)\n> \n> diff --git a/src/ipa/libipa/awb.cpp b/src/ipa/libipa/awb.cpp\n> index 62b69dd96238..6157bd436183 100644\n> --- a/src/ipa/libipa/awb.cpp\n> +++ b/src/ipa/libipa/awb.cpp\n> @@ -57,8 +57,9 @@ namespace ipa {\n> * applied. To keep the actual implementations computationally inexpensive,\n> * the squared colour error shall be returned.\n> *\n> - * If the awb statistics provide multiple zones, the sum over all zones needs to\n> - * calculated.\n> + * If the awb statistics provide multiple zones, the average of the individual\n> + * squared errors shall be returned. Averaging/normalizing is necessary so that\n> + * the numeric dimensions are the same on all hardware platforms.\n> *\n> * \\return The computed error value\n> */\n> diff --git a/src/ipa/libipa/awb_bayes.cpp b/src/ipa/libipa/awb_bayes.cpp\n> index 6b88aebeffb5..5f43421e14c7 100644\n> --- a/src/ipa/libipa/awb_bayes.cpp\n> +++ b/src/ipa/libipa/awb_bayes.cpp\n> @@ -235,6 +235,10 @@ int AwbBayes::readPriors(const YamlObject &tuningData)\n> \n> \t\tauto &pwl = priors[lux];\n> \t\tfor (const auto &[ct, prob] : ctToProbability) {\n> +\t\t\tif (prob < 1e-6) {\n> +\t\t\t\tLOG(Awb, Error) << \"Prior probability must be larger than 1e-6\";\n> +\t\t\t\treturn -EINVAL;\n> +\t\t\t}\n> \t\t\tpwl.append(ct, prob);\n> \t\t}\n> \t}\n> @@ -324,7 +328,7 @@ double AwbBayes::coarseSearch(const ipa::Pwl &prior, const AwbStats &stats) cons\n> \t\tdouble b = ctB_.eval(t, &spanB);\n> \t\tRGB gains({ 1 / r, 1.0, 1 / b });\n> \t\tdouble delta2Sum = stats.computeColourError(gains);\n> -\t\tdouble priorLogLikelihood = prior.eval(prior.domain().clamp(t));\n> +\t\tdouble priorLogLikelihood = log(prior.eval(prior.domain().clamp(t)));\n> \t\tdouble finalLogLikelihood = delta2Sum - priorLogLikelihood;\n> \n> \t\terrorLimits.record(delta2Sum);\n> @@ -407,7 +411,7 @@ void AwbBayes::fineSearch(double &t, double &r, double &b, ipa::Pwl const &prior\n> \tfor (int i = -nsteps; i <= nsteps; i++) {\n> \t\tdouble tTest = t + i * step;\n> \t\tdouble priorLogLikelihood =\n> -\t\t\tprior.eval(prior.domain().clamp(tTest));\n> +\t\t\tlog(prior.eval(prior.domain().clamp(tTest)));\n> \t\tpriorLogLikelihoodLimits.record(priorLogLikelihood);\n> \t\tPwl::Point rbStart{ { ctR_.eval(tTest, &spanR),\n> \t\t\t\t ctB_.eval(tTest, &spanB) } };\n> diff --git a/utils/tuning/config-example.yaml b/utils/tuning/config-example.yaml\n> index 1bbb275778dc..5593eaef809e 100644\n> --- a/utils/tuning/config-example.yaml\n> +++ b/utils/tuning/config-example.yaml\n> @@ -7,21 +7,21 @@ general:\n> awb:\n> # Algorithm can either be 'grey' or 'bayes'\n> algorithm: bayes\n> - # Priors is only used for the bayes algorithm. They are defined in\n> - # logarithmic space. A good staring point is:\n> + # Priors is only used for the bayes algorithm. They are defined in linear\n> + # space. A good staring point is:\n> # - lux: 0\n> # ct: [ 2000, 3000, 13000 ]\n> - # probability: [ 1.0, 0.0, 0.0 ]\n> + # probability: [ 1.005, 1.0, 1.0 ]\n> # - lux: 800\n> # ct: [ 2000, 6000, 13000 ]\n> - # probability: [ 0.0, 2.0, 2.0 ]\n> + # probability: [ 1.0, 1.01, 1.01 ]\n> # - lux: 1500\n> # ct: [ 2000, 4000, 6000, 6500, 7000, 13000 ]\n> - # probability: [ 0.0, 1.0, 6.0, 7.0, 1.0, 1.0 ]\n> + # probability: [ 1.0, 1.005, 1.032, 1.037, 1.01, 1.01 ]\n> priors:\n> - lux: 0\n> ct: [ 2000, 13000 ]\n> - probability: [ 0.0, 0.0 ]\n> + probability: [ 1.0, 1.0 ]\n> AwbMode:\n> AwbAuto:\n> lo: 2500\n> -- \n> 2.43.0\n>","headers":{"Return-Path":"","X-Original-To":"parsemail@patchwork.libcamera.org","Delivered-To":"parsemail@patchwork.libcamera.org","Received":["from lancelot.ideasonboard.com (lancelot.ideasonboard.com\n\t[92.243.16.209])\n\tby patchwork.libcamera.org (Postfix) with ESMTPS id 434DFBEFBE\n\tfor ;\n\tMon, 27 Jan 2025 11:48:05 +0000 (UTC)","from lancelot.ideasonboard.com (localhost [IPv6:::1])\n\tby lancelot.ideasonboard.com (Postfix) with ESMTP id 4631E6855D;\n\tMon, 27 Jan 2025 12:48:04 +0100 (CET)","from perceval.ideasonboard.com (perceval.ideasonboard.com\n\t[IPv6:2001:4b98:dc2:55:216:3eff:fef7:d647])\n\tby lancelot.ideasonboard.com (Postfix) with ESMTPS id 9BEA268549\n\tfor ;\n\tMon, 27 Jan 2025 12:48:02 +0100 (CET)","from pyrite.rasen.tech (unknown [206.0.71.13])\n\tby perceval.ideasonboard.com (Postfix) with ESMTPSA id 06D6D18D;\n\tMon, 27 Jan 2025 12:46:54 +0100 (CET)"],"Authentication-Results":"lancelot.ideasonboard.com; dkim=pass (1024-bit key;\n\tunprotected) header.d=ideasonboard.com header.i=@ideasonboard.com\n\theader.b=\"jIkXJc8g\"; dkim-atps=neutral","DKIM-Signature":"v=1; a=rsa-sha256; c=relaxed/simple; d=ideasonboard.com;\n\ts=mail; t=1737978416;\n\tbh=6AyEr9bv3DeJe+paFvpucAK9qKv2oslanEvoJ0Lg6EY=;\n\th=Date:From:To:Cc:Subject:References:In-Reply-To:From;\n\tb=jIkXJc8ghQu3hyVMsYk3cbQ9RKNlF2H6B0O6LSgfstkjPbMkbRJuiZopIwDMGse1X\n\tj5ud1OMt5rm0jd8nuf+t6z5wxsB5xJIORwwh+YtA6BkdSLMoT+FFodZTD5eR5n2ExR\n\tDLcnJjwB42ZtTkLHgBrmbvn66RXZBS2nG9Y7qdUo=","Date":"Mon, 27 Jan 2025 03:47:55 -0800","From":"Paul Elder ","To":"Stefan Klug ","Cc":"libcamera-devel@lists.libcamera.org","Subject":"Re: [PATCH v2 17/17] libipa: awb_bayes: Change the probabilities\n\tfrom log space into linear space","Message-ID":"","References":"<20250123114204.79321-1-stefan.klug@ideasonboard.com>\n\t<20250123114204.79321-18-stefan.klug@ideasonboard.com>","MIME-Version":"1.0","Content-Type":"text/plain; charset=us-ascii","Content-Disposition":"inline","In-Reply-To":"<20250123114204.79321-18-stefan.klug@ideasonboard.com>","X-BeenThere":"libcamera-devel@lists.libcamera.org","X-Mailman-Version":"2.1.29","Precedence":"list","List-Id":"","List-Unsubscribe":",\n\t","List-Archive":"","List-Post":"","List-Help":"","List-Subscribe":",\n\t","Errors-To":"libcamera-devel-bounces@lists.libcamera.org","Sender":"\"libcamera-devel\" "}},{"id":33369,"web_url":"https://patchwork.libcamera.org/comment/33369/","msgid":"","date":"2025-02-14T17:42:26","subject":"Re: [PATCH v2 17/17] libipa: awb_bayes: Change the probabilities\n\tfrom log space into linear space","submitter":{"id":156,"url":"https://patchwork.libcamera.org/api/people/156/","name":"Dan Scally","email":"dan.scally@ideasonboard.com"},"content":"Hi Stefan\n\nOn 23/01/2025 11:41, Stefan Klug wrote:\n> The original code used to specify the probabilities in log space and\n> scaled for the RaspberryPi hardware with 192 AWB measurement points.\n> This is reasonable as the whole algorithm makes use of unitless numbers\n> to prefer some colour temperatures based on a lux level. These numbers\n> are then hand tuned with the specific device in mind.\n>\n> This has two shortcomings:\n>\n> 1. The linear interpolation of PWLs in log space is mathematically\n> incorrect. The outcome might still be ok, as both spaces (log and\n> linear) are monotonic, but it is still not \"right\".\n>\n> 2. Having unitless numbers gets more error prone when we try to\n> harmonize the behavior over multiple platforms.\n>\n> Change the algorithm to interpret the numbers as being in linear space.\n> This makes the interpolation mathematically correct at the expense of a\n> few log operations.\n>\n> To account for that change, update the numbers in the tuning example\n> file with the linear counterparts scaled to one AWB zone measurement.\n>\n> Signed-off-by: Stefan Klug \n>\n> ---\n\n\nCode wise it looks fine. I'm afraid I will have to take your word for the validity of the change:\n\n\nReviewed-by: Daniel Scally \n\n>\n> Changes in v2:\n> - Added this commit\n> ---\n> src/ipa/libipa/awb.cpp | 5 +++--\n> src/ipa/libipa/awb_bayes.cpp | 8 ++++++--\n> utils/tuning/config-example.yaml | 12 ++++++------\n> 3 files changed, 15 insertions(+), 10 deletions(-)\n>\n> diff --git a/src/ipa/libipa/awb.cpp b/src/ipa/libipa/awb.cpp\n> index 62b69dd96238..6157bd436183 100644\n> --- a/src/ipa/libipa/awb.cpp\n> +++ b/src/ipa/libipa/awb.cpp\n> @@ -57,8 +57,9 @@ namespace ipa {\n> * applied. To keep the actual implementations computationally inexpensive,\n> * the squared colour error shall be returned.\n> *\n> - * If the awb statistics provide multiple zones, the sum over all zones needs to\n> - * calculated.\n> + * If the awb statistics provide multiple zones, the average of the individual\n> + * squared errors shall be returned. Averaging/normalizing is necessary so that\n> + * the numeric dimensions are the same on all hardware platforms.\n> *\n> * \\return The computed error value\n> */\n> diff --git a/src/ipa/libipa/awb_bayes.cpp b/src/ipa/libipa/awb_bayes.cpp\n> index 6b88aebeffb5..5f43421e14c7 100644\n> --- a/src/ipa/libipa/awb_bayes.cpp\n> +++ b/src/ipa/libipa/awb_bayes.cpp\n> @@ -235,6 +235,10 @@ int AwbBayes::readPriors(const YamlObject &tuningData)\n> \n> \t\tauto &pwl = priors[lux];\n> \t\tfor (const auto &[ct, prob] : ctToProbability) {\n> +\t\t\tif (prob < 1e-6) {\n> +\t\t\t\tLOG(Awb, Error) << \"Prior probability must be larger than 1e-6\";\n> +\t\t\t\treturn -EINVAL;\n> +\t\t\t}\n> \t\t\tpwl.append(ct, prob);\n> \t\t}\n> \t}\n> @@ -324,7 +328,7 @@ double AwbBayes::coarseSearch(const ipa::Pwl &prior, const AwbStats &stats) cons\n> \t\tdouble b = ctB_.eval(t, &spanB);\n> \t\tRGB gains({ 1 / r, 1.0, 1 / b });\n> \t\tdouble delta2Sum = stats.computeColourError(gains);\n> -\t\tdouble priorLogLikelihood = prior.eval(prior.domain().clamp(t));\n> +\t\tdouble priorLogLikelihood = log(prior.eval(prior.domain().clamp(t)));\n> \t\tdouble finalLogLikelihood = delta2Sum - priorLogLikelihood;\n> \n> \t\terrorLimits.record(delta2Sum);\n> @@ -407,7 +411,7 @@ void AwbBayes::fineSearch(double &t, double &r, double &b, ipa::Pwl const &prior\n> \tfor (int i = -nsteps; i <= nsteps; i++) {\n> \t\tdouble tTest = t + i * step;\n> \t\tdouble priorLogLikelihood =\n> -\t\t\tprior.eval(prior.domain().clamp(tTest));\n> +\t\t\tlog(prior.eval(prior.domain().clamp(tTest)));\n> \t\tpriorLogLikelihoodLimits.record(priorLogLikelihood);\n> \t\tPwl::Point rbStart{ { ctR_.eval(tTest, &spanR),\n> \t\t\t\t ctB_.eval(tTest, &spanB) } };\n> diff --git a/utils/tuning/config-example.yaml b/utils/tuning/config-example.yaml\n> index 1bbb275778dc..5593eaef809e 100644\n> --- a/utils/tuning/config-example.yaml\n> +++ b/utils/tuning/config-example.yaml\n> @@ -7,21 +7,21 @@ general:\n> awb:\n> # Algorithm can either be 'grey' or 'bayes'\n> algorithm: bayes\n> - # Priors is only used for the bayes algorithm. They are defined in\n> - # logarithmic space. A good staring point is:\n> + # Priors is only used for the bayes algorithm. They are defined in linear\n> + # space. A good staring point is:\n> # - lux: 0\n> # ct: [ 2000, 3000, 13000 ]\n> - # probability: [ 1.0, 0.0, 0.0 ]\n> + # probability: [ 1.005, 1.0, 1.0 ]\n> # - lux: 800\n> # ct: [ 2000, 6000, 13000 ]\n> - # probability: [ 0.0, 2.0, 2.0 ]\n> + # probability: [ 1.0, 1.01, 1.01 ]\n> # - lux: 1500\n> # ct: [ 2000, 4000, 6000, 6500, 7000, 13000 ]\n> - # probability: [ 0.0, 1.0, 6.0, 7.0, 1.0, 1.0 ]\n> + # probability: [ 1.0, 1.005, 1.032, 1.037, 1.01, 1.01 ]\n> priors:\n> - lux: 0\n> ct: [ 2000, 13000 ]\n> - probability: [ 0.0, 0.0 ]\n> + probability: [ 1.0, 1.0 ]\n> AwbMode:\n> AwbAuto:\n> lo: 2500","headers":{"Return-Path":"","X-Original-To":"parsemail@patchwork.libcamera.org","Delivered-To":"parsemail@patchwork.libcamera.org","Received":["from lancelot.ideasonboard.com (lancelot.ideasonboard.com\n\t[92.243.16.209])\n\tby patchwork.libcamera.org (Postfix) with ESMTPS id 54398C32A3\n\tfor ;\n\tFri, 14 Feb 2025 17:42:32 +0000 (UTC)","from lancelot.ideasonboard.com (localhost [IPv6:::1])\n\tby lancelot.ideasonboard.com (Postfix) with ESMTP id 6B5F368657;\n\tFri, 14 Feb 2025 18:42:31 +0100 (CET)","from perceval.ideasonboard.com (perceval.ideasonboard.com\n\t[213.167.242.64])\n\tby lancelot.ideasonboard.com (Postfix) with ESMTPS id C3A8A6862A\n\tfor ;\n\tFri, 14 Feb 2025 18:42:29 +0100 (CET)","from [192.168.0.43]\n\t(cpc141996-chfd3-2-0-cust928.12-3.cable.virginm.net [86.13.91.161])\n\tby perceval.ideasonboard.com (Postfix) with ESMTPSA id 34D6273B\n\tfor ;\n\tFri, 14 Feb 2025 18:41:10 +0100 (CET)"],"Authentication-Results":"lancelot.ideasonboard.com; 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