[{"id":33205,"web_url":"https://patchwork.libcamera.org/comment/33205/","msgid":"","date":"2025-01-27T11:41:14","subject":"Re: [PATCH v2 15/17] libipa: awb_bayes: Add logging of value limits","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 12:41:05PM +0100, Stefan Klug wrote:\n> When tuning the AWB algorithm it is more helpful to get a feeling for the\n> value ranges than to get verbose output of every single step. Add a\n> small utility class to track the limits and log them.\n> \n> Signed-off-by: Stefan Klug \n\nOoh that's cool.\n\nReviewed-by: Paul Elder \n\n> \n> ---\n> \n> Changes in v2:\n> - Added this commit\n> ---\n> src/ipa/libipa/awb_bayes.cpp | 57 ++++++++++++++++++++++++++++++++++--\n> 1 file changed, 55 insertions(+), 2 deletions(-)\n> \n> diff --git a/src/ipa/libipa/awb_bayes.cpp b/src/ipa/libipa/awb_bayes.cpp\n> index 8ab6ed661a3e..aaa8c7a663ad 100644\n> --- a/src/ipa/libipa/awb_bayes.cpp\n> +++ b/src/ipa/libipa/awb_bayes.cpp\n> @@ -50,6 +50,44 @@ namespace libcamera {\n> \n> LOG_DECLARE_CATEGORY(Awb)\n> \n> +namespace {\n> +\n> +template\n> +class LimitsRecorder\n> +{\n> +public:\n> +\tLimitsRecorder()\n> +\t\t: min_(std::numeric_limits::max()),\n> +\t\t max_(std::numeric_limits::min())\n> +\t{\n> +\t}\n> +\n> +\tvoid record(const T& value)\n> +\t{\n> +\t\tmin_ = std::min(min_, value);\n> +\t\tmax_ = std::max(max_, value);\n> +\t}\n> +\n> +\tconst T& min() const { return min_; }\n> +\tconst T& max() const { return max_; }\n> +private:\n> +\tT min_;\n> +\tT max_;\n> +};\n> +\n> +\n> +\n> +#ifndef __DOXYGEN__\n> +template\n> +std::ostream &operator<<(std::ostream &out, const LimitsRecorder &v)\n> +{\n> +\tout << \"[ \" << v.min() << \", \" << v.max() << \" ]\";\n> +\treturn out;\n> +}\n> +#endif\n> +\n> +} /* namespace */\n> +\n> namespace ipa {\n> \n> /**\n> @@ -277,6 +315,8 @@ double AwbBayes::coarseSearch(const ipa::Pwl &prior, const AwbStats &stats) cons\n> \tdouble t = currentMode_->ctLo;\n> \tint spanR = -1;\n> \tint spanB = -1;\n> +\tLimitsRecorder errorLimits;\n> +\tLimitsRecorder priorLogLikelihoodLimits;\n> \n> \t/* Step down the CT curve evaluating log likelihood. */\n> \twhile (true) {\n> @@ -287,6 +327,9 @@ double AwbBayes::coarseSearch(const ipa::Pwl &prior, const AwbStats &stats) cons\n> \t\tdouble priorLogLikelihood = prior.eval(prior.domain().clamp(t));\n> \t\tdouble finalLogLikelihood = delta2Sum - priorLogLikelihood;\n> \n> +\t\terrorLimits.record(delta2Sum);\n> +\t\tpriorLogLikelihoodLimits.record(priorLogLikelihood);\n> +\n> \t\tLOG(Awb, Debug) << \"Coarse search t: \" << t\n> \t\t\t\t<< \" gains: \" << gains\n> \t\t\t\t<< \" error: \" << delta2Sum\n> @@ -308,7 +351,9 @@ double AwbBayes::coarseSearch(const ipa::Pwl &prior, const AwbStats &stats) cons\n> \t}\n> \n> \tt = points[bestPoint].x();\n> -\tLOG(Awb, Debug) << \"Coarse search found CT \" << t;\n> +\tLOG(Awb, Debug) << \"Coarse search found CT \" << t\n> +\t\t\t<< \" error limits:\" << errorLimits\n> +\t\t\t<< \" prior log likelihood limits:\" << priorLogLikelihoodLimits;\n> \n> \t/*\n> \t * We have the best point of the search, but refine it with a quadratic\n> @@ -352,6 +397,9 @@ void AwbBayes::fineSearch(double &t, double &r, double &b, ipa::Pwl const &prior\n> \tPwl::Point bestRB;\n> \tdouble transverseRange = transverseNeg_ + transversePos_;\n> \tconst int maxNumDeltas = 12;\n> +\tLimitsRecorder errorLimits;\n> +\tLimitsRecorder priorLogLikelihoodLimits;\n> +\n> \n> \t/* a transverse step approximately every 0.01 r/b units */\n> \tint numDeltas = floor(transverseRange * 100 + 0.5) + 1;\n> @@ -366,6 +414,7 @@ void AwbBayes::fineSearch(double &t, double &r, double &b, ipa::Pwl const &prior\n> \t\tdouble tTest = t + i * step;\n> \t\tdouble priorLogLikelihood =\n> \t\t\tprior.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> \t\tPwl::Point samples[maxNumDeltas];\n> @@ -384,6 +433,7 @@ void AwbBayes::fineSearch(double &t, double &r, double &b, ipa::Pwl const &prior\n> \t\t\tPwl::Point rbTest = rbStart + transverse * p.x();\n> \t\t\tRGB gains({ 1 / rbTest[0], 1.0, 1 / rbTest[1] });\n> \t\t\tdouble delta2Sum = stats.computeColourError(gains);\n> +\t\t\terrorLimits.record(delta2Sum);\n> \t\t\tp.y() = delta2Sum - priorLogLikelihood;\n> \n> \t\t\tif (p.y() < samples[bestPoint].y())\n> @@ -401,6 +451,7 @@ void AwbBayes::fineSearch(double &t, double &r, double &b, ipa::Pwl const &prior\n> \t\tPwl::Point rbTest = rbStart + transverse * bestOffset;\n> \t\tRGB gains({ 1 / rbTest[0], 1.0, 1 / rbTest[1] });\n> \t\tdouble delta2Sum = stats.computeColourError(gains);\n> +\t\terrorLimits.record(delta2Sum);\n> \t\tdouble finalLogLikelihood = delta2Sum - priorLogLikelihood;\n> \t\tLOG(Awb, Debug)\n> \t\t\t<< \"Fine search t: \" << tTest\n> @@ -421,7 +472,9 @@ void AwbBayes::fineSearch(double &t, double &r, double &b, ipa::Pwl const &prior\n> \tr = bestRB[0];\n> \tb = bestRB[1];\n> \tLOG(Awb, Debug)\n> -\t\t<< \"Fine search found t \" << t << \" r \" << r << \" b \" << b;\n> +\t\t<< \"Fine search found t \" << t << \" r \" << r << \" b \" << b\n> +\t\t<< \" error limits: \" << errorLimits\n> +\t\t<< \" prior log likelihood limits: \" << priorLogLikelihoodLimits;\n> }\n> \n> /**\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 10606BDCC1\n\tfor ;\n\tMon, 27 Jan 2025 11:41:24 +0000 (UTC)","from lancelot.ideasonboard.com (localhost [IPv6:::1])\n\tby lancelot.ideasonboard.com (Postfix) with ESMTP id 350C36855E;\n\tMon, 27 Jan 2025 12:41:23 +0100 (CET)","from perceval.ideasonboard.com (perceval.ideasonboard.com\n\t[213.167.242.64])\n\tby lancelot.ideasonboard.com (Postfix) with ESMTPS id CDE4768557\n\tfor ;\n\tMon, 27 Jan 2025 12:41:21 +0100 (CET)","from pyrite.rasen.tech (unknown [206.0.71.13])\n\tby perceval.ideasonboard.com (Postfix) with ESMTPSA id 4382518D;\n\tMon, 27 Jan 2025 12:40:14 +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=\"DPVdpBOF\"; dkim-atps=neutral","DKIM-Signature":"v=1; a=rsa-sha256; c=relaxed/simple; d=ideasonboard.com;\n\ts=mail; t=1737978015;\n\tbh=ApA3kvGGdsz+Kqo1ssMjprzLbv0ln0Xy53f0HGPd/YI=;\n\th=Date:From:To:Cc:Subject:References:In-Reply-To:From;\n\tb=DPVdpBOFrA6fzBQuX4PEmfiIY9DGuWIPNFW6AXpuVVpRIR0pbhIG2kCcpg52CTHYl\n\ta5MHeKbRLqykLnzg3X6Ff6IJ1FAXjNFhLVSlXBDkzI5yVb3zUK/u0jVcLeZB3KTfzv\n\t1wr3D2+fKlStSmNb1zyVTv6IUn4HaEnghpED4kgo=","Date":"Mon, 27 Jan 2025 03:41:14 -0800","From":"Paul Elder ","To":"Stefan Klug ","Cc":"libcamera-devel@lists.libcamera.org","Subject":"Re: [PATCH v2 15/17] libipa: awb_bayes: Add logging of value limits","Message-ID":"","References":"<20250123114204.79321-1-stefan.klug@ideasonboard.com>\n\t<20250123114204.79321-16-stefan.klug@ideasonboard.com>","MIME-Version":"1.0","Content-Type":"text/plain; charset=us-ascii","Content-Disposition":"inline","In-Reply-To":"<20250123114204.79321-16-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":33367,"web_url":"https://patchwork.libcamera.org/comment/33367/","msgid":"<6e901ff6-16f4-4cff-ab77-4a11988af73c@ideasonboard.com>","date":"2025-02-14T17:28:17","subject":"Re: [PATCH v2 15/17] libipa: awb_bayes: Add logging of value limits","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> When tuning the AWB algorithm it is more helpful to get a feeling for the\n> value ranges than to get verbose output of every single step. Add a\n> small utility class to track the limits and log them.\n>\n> Signed-off-by: Stefan Klug \n\nNeat idea, I think it probably should be its own thing rather than embedded in awb_bayes actually, \nbut that can be done anytime:\n\n\nReviewed-by: Daniel Scally \n\n>\n> ---\n>\n> Changes in v2:\n> - Added this commit\n> ---\n> src/ipa/libipa/awb_bayes.cpp | 57 ++++++++++++++++++++++++++++++++++--\n> 1 file changed, 55 insertions(+), 2 deletions(-)\n>\n> diff --git a/src/ipa/libipa/awb_bayes.cpp b/src/ipa/libipa/awb_bayes.cpp\n> index 8ab6ed661a3e..aaa8c7a663ad 100644\n> --- a/src/ipa/libipa/awb_bayes.cpp\n> +++ b/src/ipa/libipa/awb_bayes.cpp\n> @@ -50,6 +50,44 @@ namespace libcamera {\n> \n> LOG_DECLARE_CATEGORY(Awb)\n> \n> +namespace {\n> +\n> +template\n> +class LimitsRecorder\n> +{\n> +public:\n> +\tLimitsRecorder()\n> +\t\t: min_(std::numeric_limits::max()),\n> +\t\t max_(std::numeric_limits::min())\n> +\t{\n> +\t}\n> +\n> +\tvoid record(const T& value)\n> +\t{\n> +\t\tmin_ = std::min(min_, value);\n> +\t\tmax_ = std::max(max_, value);\n> +\t}\n> +\n> +\tconst T& min() const { return min_; }\n> +\tconst T& max() const { return max_; }\n> +private:\n> +\tT min_;\n> +\tT max_;\n> +};\n> +\n> +\n> +\n> +#ifndef __DOXYGEN__\n> +template\n> +std::ostream &operator<<(std::ostream &out, const LimitsRecorder &v)\n> +{\n> +\tout << \"[ \" << v.min() << \", \" << v.max() << \" ]\";\n> +\treturn out;\n> +}\n> +#endif\n> +\n> +} /* namespace */\n> +\n> namespace ipa {\n> \n> /**\n> @@ -277,6 +315,8 @@ double AwbBayes::coarseSearch(const ipa::Pwl &prior, const AwbStats &stats) cons\n> \tdouble t = currentMode_->ctLo;\n> \tint spanR = -1;\n> \tint spanB = -1;\n> +\tLimitsRecorder errorLimits;\n> +\tLimitsRecorder priorLogLikelihoodLimits;\n> \n> \t/* Step down the CT curve evaluating log likelihood. */\n> \twhile (true) {\n> @@ -287,6 +327,9 @@ double AwbBayes::coarseSearch(const ipa::Pwl &prior, const AwbStats &stats) cons\n> \t\tdouble priorLogLikelihood = prior.eval(prior.domain().clamp(t));\n> \t\tdouble finalLogLikelihood = delta2Sum - priorLogLikelihood;\n> \n> +\t\terrorLimits.record(delta2Sum);\n> +\t\tpriorLogLikelihoodLimits.record(priorLogLikelihood);\n> +\n> \t\tLOG(Awb, Debug) << \"Coarse search t: \" << t\n> \t\t\t\t<< \" gains: \" << gains\n> \t\t\t\t<< \" error: \" << delta2Sum\n> @@ -308,7 +351,9 @@ double AwbBayes::coarseSearch(const ipa::Pwl &prior, const AwbStats &stats) cons\n> \t}\n> \n> \tt = points[bestPoint].x();\n> -\tLOG(Awb, Debug) << \"Coarse search found CT \" << t;\n> +\tLOG(Awb, Debug) << \"Coarse search found CT \" << t\n> +\t\t\t<< \" error limits:\" << errorLimits\n> +\t\t\t<< \" prior log likelihood limits:\" << priorLogLikelihoodLimits;\n> \n> \t/*\n> \t * We have the best point of the search, but refine it with a quadratic\n> @@ -352,6 +397,9 @@ void AwbBayes::fineSearch(double &t, double &r, double &b, ipa::Pwl const &prior\n> \tPwl::Point bestRB;\n> \tdouble transverseRange = transverseNeg_ + transversePos_;\n> \tconst int maxNumDeltas = 12;\n> +\tLimitsRecorder errorLimits;\n> +\tLimitsRecorder priorLogLikelihoodLimits;\n> +\n> \n> \t/* a transverse step approximately every 0.01 r/b units */\n> \tint numDeltas = floor(transverseRange * 100 + 0.5) + 1;\n> @@ -366,6 +414,7 @@ void AwbBayes::fineSearch(double &t, double &r, double &b, ipa::Pwl const &prior\n> \t\tdouble tTest = t + i * step;\n> \t\tdouble priorLogLikelihood =\n> \t\t\tprior.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> \t\tPwl::Point samples[maxNumDeltas];\n> @@ -384,6 +433,7 @@ void AwbBayes::fineSearch(double &t, double &r, double &b, ipa::Pwl const &prior\n> \t\t\tPwl::Point rbTest = rbStart + transverse * p.x();\n> \t\t\tRGB gains({ 1 / rbTest[0], 1.0, 1 / rbTest[1] });\n> \t\t\tdouble delta2Sum = stats.computeColourError(gains);\n> +\t\t\terrorLimits.record(delta2Sum);\n> \t\t\tp.y() = delta2Sum - priorLogLikelihood;\n> \n> \t\t\tif (p.y() < samples[bestPoint].y())\n> @@ -401,6 +451,7 @@ void AwbBayes::fineSearch(double &t, double &r, double &b, ipa::Pwl const &prior\n> \t\tPwl::Point rbTest = rbStart + transverse * bestOffset;\n> \t\tRGB gains({ 1 / rbTest[0], 1.0, 1 / rbTest[1] });\n> \t\tdouble delta2Sum = stats.computeColourError(gains);\n> +\t\terrorLimits.record(delta2Sum);\n> \t\tdouble finalLogLikelihood = delta2Sum - priorLogLikelihood;\n> \t\tLOG(Awb, Debug)\n> \t\t\t<< \"Fine search t: \" << tTest\n> @@ -421,7 +472,9 @@ void AwbBayes::fineSearch(double &t, double &r, double &b, ipa::Pwl const &prior\n> \tr = bestRB[0];\n> \tb = bestRB[1];\n> \tLOG(Awb, Debug)\n> -\t\t<< \"Fine search found t \" << t << \" r \" << r << \" b \" << b;\n> +\t\t<< \"Fine search found t \" << t << \" r \" << r << \" b \" << b\n> +\t\t<< \" error limits: \" << errorLimits\n> +\t\t<< \" prior log likelihood limits: \" << priorLogLikelihoodLimits;\n> }\n> \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 C59E1C3273\n\tfor ;\n\tFri, 14 Feb 2025 17:28:22 +0000 (UTC)","from lancelot.ideasonboard.com (localhost [IPv6:::1])\n\tby lancelot.ideasonboard.com (Postfix) with ESMTP id EE69A68653;\n\tFri, 14 Feb 2025 18:28:21 +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 EF5F56862A\n\tfor ;\n\tFri, 14 Feb 2025 18:28:19 +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 7F2F673B\n\tfor ;\n\tFri, 14 Feb 2025 18:27:00 +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=\"oiaMBnup\"; dkim-atps=neutral","DKIM-Signature":"v=1; a=rsa-sha256; c=relaxed/simple; d=ideasonboard.com;\n\ts=mail; t=1739554020;\n\tbh=x/qXUoWr5UrZ69UwfLri3q9sc/ncW9hp5tEKLip+Hmc=;\n\th=Date:Subject:To:References:From:In-Reply-To:From;\n\tb=oiaMBnupU8MWZsniZeG5keMTrA+t9+uqrUJEhklz0S1eCN+2Fbr4o64aqLMfVeSsm\n\twUx8DrztBWPA6RUUI8e4v4jBzpXY9NnLELmEva5WXODtvqRUj7e7W2oIlwp5Pz8r7h\n\tA3QMsejBiI5mlVHdxfHCXlYV1udTFj5oVBasilcE=","Message-ID":"<6e901ff6-16f4-4cff-ab77-4a11988af73c@ideasonboard.com>","Date":"Fri, 14 Feb 2025 17:28:17 +0000","MIME-Version":"1.0","User-Agent":"Mozilla Thunderbird","Subject":"Re: [PATCH v2 15/17] libipa: awb_bayes: Add logging of value limits","To":"libcamera-devel@lists.libcamera.org","References":"<20250123114204.79321-1-stefan.klug@ideasonboard.com>\n\t<20250123114204.79321-16-stefan.klug@ideasonboard.com>","Content-Language":"en-US","From":"Dan Scally ","Autocrypt":"addr=dan.scally@ideasonboard.com; keydata=\n\txsFNBGLydlEBEADa5O2s0AbUguprfvXOQun/0a8y2Vk6BqkQALgeD6KnXSWwaoCULp18etYW\n\tB31bfgrdphXQ5kUQibB0ADK8DERB4wrzrUb5CMxLBFE7mQty+v5NsP0OFNK9XTaAOcmD+Ove\n\teIjYvqurAaro91jrRVrS1gBRxIFqyPgNvwwL+alMZhn3/2jU2uvBmuRrgnc/e9cHKiuT3Dtq\n\tMHGPKL2m+plk+7tjMoQFfexoQ1JKugHAjxAhJfrkXh6uS6rc01bYCyo7ybzg53m1HLFJdNGX\n\tsUKR+dQpBs3SY4s66tc1sREJqdYyTsSZf80HjIeJjU/hRunRo4NjRIJwhvnK1GyjOvvuCKVU\n\tRWpY8dNjNu5OeAfdrlvFJOxIE9M8JuYCQTMULqd1NuzbpFMjc9524U3Cngs589T7qUMPb1H1\n\tNTA81LmtJ6Y+IV5/kiTUANflpzBwhu18Ok7kGyCq2a2jsOcVmk8gZNs04gyjuj8JziYwwLbf\n\tvzABwpFVcS8aR+nHIZV1HtOzyw8CsL8OySc3K9y+Y0NRpziMRvutrppzgyMb9V+N31mK9Mxl\n\t1YkgaTl4ciNWpdfUe0yxH03OCuHi3922qhPLF4XX5LN+NaVw5Xz2o3eeWklXdouxwV7QlN33\n\tu4+u2FWzKxDqO6WLQGjxPE0mVB4Gh5Pa1Vb0ct9Ctg0qElvtGQARAQABzShEYW4gU2NhbGx5\n\tIDxkYW4uc2NhbGx5QGlkZWFzb25ib2FyZC5jb20+wsGNBBMBCAA3FiEEsdtt8OWP7+8SNfQe\n\tkiQuh/L+GMQFAmLydlIFCQWjmoACGwMECwkIBwUVCAkKCwUWAgMBAAAKCRCSJC6H8v4YxDI2\n\tEAC2Gz0iyaXJkPInyshrREEWbo0CA6v5KKf3I/HlMPqkZ48bmGoYm4mEQGFWZJAT3K4ir8bg\n\tcEfs9V54gpbrZvdwS4abXbUK4WjKwEs8HK3XJv1WXUN2bsz5oEJWZUImh9gD3naiLLI9QMMm\n\tw/aZkT+NbN5/2KvChRWhdcha7+2Te4foOY66nIM+pw2FZM6zIkInLLUik2zXOhaZtqdeJZQi\n\tHSPU9xu7TRYN4cvdZAnSpG7gQqmLm5/uGZN1/sB3kHTustQtSXKMaIcD/DMNI3JN/t+RJVS7\n\tc0Jh/ThzTmhHyhxx3DRnDIy7kwMI4CFvmhkVC2uNs9kWsj1DuX5kt8513mvfw2OcX9UnNKmZ\n\tnhNCuF6DxVrL8wjOPuIpiEj3V+K7DFF1Cxw1/yrLs8dYdYh8T8vCY2CHBMsqpESROnTazboh\n\tAiQ2xMN1cyXtX11Qwqm5U3sykpLbx2BcmUUUEAKNsM//Zn81QXKG8vOx0ZdMfnzsCaCzt8f6\n\t9dcDBBI3tJ0BI9ByiocqUoL6759LM8qm18x3FYlxvuOs4wSGPfRVaA4yh0pgI+ModVC2Pu3y\n\tejE/IxeatGqJHh6Y+iJzskdi27uFkRixl7YJZvPJAbEn7kzSi98u/5ReEA8Qhc8KO/B7wprj\n\txjNMZNYd0Eth8+WkixHYj752NT5qshKJXcyUU87BTQRi8nZSARAAx0BJayh1Fhwbf4zoY56x\n\txHEpT6DwdTAYAetd3yiKClLVJadYxOpuqyWa1bdfQWPb+h4MeXbWw/53PBgn7gI2EA7ebIRC\n\tPJJhAIkeym7hHZoxqDQTGDJjxFEL11qF+U3rhWiL2Zt0Pl+zFq0eWYYVNiXjsIS4FI2+4m16\n\ttPbDWZFJnSZ828VGtRDQdhXfx3zyVX21lVx1bX4/OZvIET7sVUufkE4hrbqrrufre7wsjD1t\n\t8MQKSapVrr1RltpzPpScdoxknOSBRwOvpp57pJJe5A0L7+WxJ+vQoQXj0j+5tmIWOAV1qBQp\n\thyoyUk9JpPfntk2EKnZHWaApFp5TcL6c5LhUvV7F6XwOjGPuGlZQCWXee9dr7zym8iR3irWT\n\t+49bIh5PMlqSLXJDYbuyFQHFxoiNdVvvf7etvGfqFYVMPVjipqfEQ38ST2nkzx+KBICz7uwj\n\tJwLBdTXzGFKHQNckGMl7F5QdO/35An/QcxBnHVMXqaSd12tkJmoRVWduwuuoFfkTY5mUV3uX\n\txGj3iVCK4V+ezOYA7c2YolfRCNMTza6vcK/P4tDjjsyBBZrCCzhBvd4VVsnnlZhVaIxoky4K\n\taL+AP+zcQrUZmXmgZjXOLryGnsaeoVrIFyrU6ly90s1y3KLoPsDaTBMtnOdwxPmo1xisH8oL\n\ta/VRgpFBfojLPxMAEQEAAcLBfAQYAQgAJhYhBLHbbfDlj+/vEjX0HpIkLofy/hjEBQJi8nZT\n\tBQkFo5qAAhsMAAoJEJIkLofy/hjEXPcQAMIPNqiWiz/HKu9W4QIf1OMUpKn3YkVIj3p3gvfM\n\tRes4fGX94Ji599uLNrPoxKyaytC4R6BTxVriTJjWK8mbo9jZIRM4vkwkZZ2bu98EweSucxbp\n\tvjESsvMXGgxniqV/RQ/3T7LABYRoIUutARYq58p5HwSP0frF0fdFHYdTa2g7MYZl1ur2JzOC\n\tFHRpGadlNzKDE3fEdoMobxHB3Lm6FDml5GyBAA8+dQYVI0oDwJ3gpZPZ0J5Vx9RbqXe8RDuR\n\tdu90hvCJkq7/tzSQ0GeD3BwXb9/R/A4dVXhaDd91Q1qQXidI+2jwhx8iqiYxbT+DoAUkQRQy\n\txBtoCM1CxH7u45URUgD//fxYr3D4B1SlonA6vdaEdHZOGwECnDpTxecENMbz/Bx7qfrmd901\n\tD+N9SjIwrbVhhSyUXYnSUb8F+9g2RDY42Sk7GcYxIeON4VzKqWM7hpkXZ47pkK0YodO+dRKM\n\tyMcoUWrTK0Uz6UzUGKoJVbxmSW/EJLEGoI5p3NWxWtScEVv8mO49gqQdrRIOheZycDmHnItt\n\t9Qjv00uFhEwv2YfiyGk6iGF2W40s2pH2t6oeuGgmiZ7g6d0MEK8Ql/4zPItvr1c1rpwpXUC1\n\tu1kQWgtnNjFHX3KiYdqjcZeRBiry1X0zY+4Y24wUU0KsEewJwjhmCKAsju1RpdlPg2kC","In-Reply-To":"<20250123114204.79321-16-stefan.klug@ideasonboard.com>","Content-Type":"text/plain; charset=UTF-8; format=flowed","Content-Transfer-Encoding":"7bit","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\" "}}]