[PATCH v3 2/3] ipa: libipa: agc: Change luminance target to piecewise linear function

Dan Scally dan.scally at ideasonboard.com
Fri May 17 12:29:16 CEST 2024


Hi Paul

On 17/05/2024 10:08, Paul Elder wrote:
> Change the relative luminance target from a scalar value to a piecewise
> linear function that needs to be sampled by the estimate lux value.
>
> Also change the rkisp1 and ipu3 IPAs accordingly, as they use the libipa
> agc. As they both don't yet have lux modules, hardcode them to a single
> lux value for now.
>
> This affects the format of the tuning files, but as there aren't yet any
> this shouldn't be an issue.
>
> Signed-off-by: Paul Elder <paul.elder at ideasonboard.com>
> Reviewed-by: Stefan Klug <stefan.klug at ideasonboard.com>


Thanks for the patch, this looks good to me. We need to remember the same thing for the constraint 
target though I guess.


Reviewed-by: Daniel Scally <dan.scally at ideasonboard.com>

> ---
> No change in v3
>
> Changes in v2:
> - s/FPoint/PointF/
> - add warning when using default relative luminance target when loading
>    from the tuning file fails
> ---
>   src/ipa/ipu3/algorithms/agc.cpp       |  5 ++++-
>   src/ipa/libipa/agc_mean_luminance.cpp | 31 +++++++++++++++++++++------
>   src/ipa/libipa/agc_mean_luminance.h   |  7 +++---
>   src/ipa/rkisp1/algorithms/agc.cpp     |  5 ++++-
>   4 files changed, 36 insertions(+), 12 deletions(-)
>
> diff --git a/src/ipa/ipu3/algorithms/agc.cpp b/src/ipa/ipu3/algorithms/agc.cpp
> index c9b5548c4..984ed0874 100644
> --- a/src/ipa/ipu3/algorithms/agc.cpp
> +++ b/src/ipa/ipu3/algorithms/agc.cpp
> @@ -222,12 +222,15 @@ void Agc::process(IPAContext &context, [[maybe_unused]] const uint32_t frame,
>   	double analogueGain = frameContext.sensor.gain;
>   	utils::Duration effectiveExposureValue = exposureTime * analogueGain;
>   
> +	/* \todo Plumb in the lux value. Requires a lux algo + tuning */
> +	double lux = 400;
> +
>   	utils::Duration shutterTime;
>   	double aGain, dGain;
>   	std::tie(shutterTime, aGain, dGain) =
>   		calculateNewEv(context.activeState.agc.constraintMode,
>   			       context.activeState.agc.exposureMode, hist,
> -			       effectiveExposureValue);
> +			       effectiveExposureValue, lux);
>   
>   	LOG(IPU3Agc, Debug)
>   		<< "Divided up shutter, analogue gain and digital gain are "
> diff --git a/src/ipa/libipa/agc_mean_luminance.cpp b/src/ipa/libipa/agc_mean_luminance.cpp
> index 2bf84d05b..fe07777dc 100644
> --- a/src/ipa/libipa/agc_mean_luminance.cpp
> +++ b/src/ipa/libipa/agc_mean_luminance.cpp
> @@ -134,7 +134,7 @@ static constexpr double kDefaultRelativeLuminanceTarget = 0.16;
>    */
>   
>   AgcMeanLuminance::AgcMeanLuminance()
> -	: frameCount_(0), filteredExposure_(0s), relativeLuminanceTarget_(0)
> +	: frameCount_(0), filteredExposure_(0s)
>   {
>   }
>   
> @@ -142,8 +142,16 @@ AgcMeanLuminance::~AgcMeanLuminance() = default;
>   
>   void AgcMeanLuminance::parseRelativeLuminanceTarget(const YamlObject &tuningData)
>   {
> -	relativeLuminanceTarget_ =
> -		tuningData["relativeLuminanceTarget"].get<double>(kDefaultRelativeLuminanceTarget);
> +	int ret = relativeLuminanceTarget_.readYaml(tuningData["relativeLuminanceTarget"]);
> +	if (ret == 0)
> +		return;
> +
> +	LOG(AgcMeanLuminance, Warning)
> +		<< "Failed to load tuning parameter 'relativeLuminanceTarget', "
> +		<< "using default [0, " << kDefaultRelativeLuminanceTarget << "]";
> +
> +	std::vector<PointF> points = { { 0, kDefaultRelativeLuminanceTarget } };
> +	relativeLuminanceTarget_ = Pwl(points);
>   }
>   
>   void AgcMeanLuminance::parseConstraint(const YamlObject &modeDict, int32_t id)
> @@ -421,11 +429,18 @@ void AgcMeanLuminance::setLimits(utils::Duration minShutter,
>   /**
>    * \brief Estimate the initial gain needed to achieve a relative luminance
>    * target
> + * \param[in] lux The lux value at which to sample the luminance target pwl
> + *
> + * To account for non-linearity caused by saturation, the value needs to be
> + * estimated in an iterative process, as multiplying by a gain will not increase
> + * the relative luminance by the same factor if some image regions are saturated
> + *
>    * \return The calculated initial gain
>    */
> -double AgcMeanLuminance::estimateInitialGain() const
> +double AgcMeanLuminance::estimateInitialGain(double lux) const
>   {
> -	double yTarget = relativeLuminanceTarget_;
> +	double yTarget =
> +		relativeLuminanceTarget_.eval(relativeLuminanceTarget_.domain().clamp(lux));
>   	double yGain = 1.0;
>   
>   	/*
> @@ -520,6 +535,7 @@ utils::Duration AgcMeanLuminance::filterExposure(utils::Duration exposureValue)
>    * the calculated gain
>    * \param[in] effectiveExposureValue The EV applied to the frame from which the
>    * statistics in use derive
> + * \param[in] lux The lux value at which to sample the luminance target pwl
>    *
>    * Calculate a new exposure value to try to obtain the target. The calculated
>    * exposure value is filtered to prevent rapid changes from frame to frame, and
> @@ -531,7 +547,8 @@ std::tuple<utils::Duration, double, double>
>   AgcMeanLuminance::calculateNewEv(uint32_t constraintModeIndex,
>   				 uint32_t exposureModeIndex,
>   				 const Histogram &yHist,
> -				 utils::Duration effectiveExposureValue)
> +				 utils::Duration effectiveExposureValue,
> +				 double lux)
>   {
>   	/*
>   	 * The pipeline handler should validate that we have received an allowed
> @@ -540,7 +557,7 @@ AgcMeanLuminance::calculateNewEv(uint32_t constraintModeIndex,
>   	std::shared_ptr<ExposureModeHelper> exposureModeHelper =
>   		exposureModeHelpers_.at(exposureModeIndex);
>   
> -	double gain = estimateInitialGain();
> +	double gain = estimateInitialGain(lux);
>   	gain = constraintClampGain(constraintModeIndex, yHist, gain);
>   
>   	/*
> diff --git a/src/ipa/libipa/agc_mean_luminance.h b/src/ipa/libipa/agc_mean_luminance.h
> index 0a81c6d28..6ec2a0dc9 100644
> --- a/src/ipa/libipa/agc_mean_luminance.h
> +++ b/src/ipa/libipa/agc_mean_luminance.h
> @@ -18,6 +18,7 @@
>   
>   #include "exposure_mode_helper.h"
>   #include "histogram.h"
> +#include "pwl.h"
>   
>   namespace libcamera {
>   
> @@ -62,7 +63,7 @@ public:
>   
>   	std::tuple<utils::Duration, double, double>
>   	calculateNewEv(uint32_t constraintModeIndex, uint32_t exposureModeIndex,
> -		       const Histogram &yHist, utils::Duration effectiveExposureValue);
> +		       const Histogram &yHist, utils::Duration effectiveExposureValue, double lux);
>   
>   	void resetFrameCount()
>   	{
> @@ -76,7 +77,7 @@ private:
>   	void parseConstraint(const YamlObject &modeDict, int32_t id);
>   	int parseConstraintModes(const YamlObject &tuningData);
>   	int parseExposureModes(const YamlObject &tuningData);
> -	double estimateInitialGain() const;
> +	double estimateInitialGain(double lux) const;
>   	double constraintClampGain(uint32_t constraintModeIndex,
>   				   const Histogram &hist,
>   				   double gain);
> @@ -84,7 +85,7 @@ private:
>   
>   	uint64_t frameCount_;
>   	utils::Duration filteredExposure_;
> -	double relativeLuminanceTarget_;
> +	Pwl relativeLuminanceTarget_;
>   
>   	std::map<int32_t, std::vector<AgcConstraint>> constraintModes_;
>   	std::map<int32_t, std::shared_ptr<ExposureModeHelper>> exposureModeHelpers_;
> diff --git a/src/ipa/rkisp1/algorithms/agc.cpp b/src/ipa/rkisp1/algorithms/agc.cpp
> index 4af397bdc..1c9872d02 100644
> --- a/src/ipa/rkisp1/algorithms/agc.cpp
> +++ b/src/ipa/rkisp1/algorithms/agc.cpp
> @@ -379,12 +379,15 @@ void Agc::process(IPAContext &context, [[maybe_unused]] const uint32_t frame,
>   	double analogueGain = frameContext.sensor.gain;
>   	utils::Duration effectiveExposureValue = exposureTime * analogueGain;
>   
> +	/* \todo Plumb in the lux value. Requires a lux algo + tuning */
> +	double lux = 400;
> +
>   	utils::Duration shutterTime;
>   	double aGain, dGain;
>   	std::tie(shutterTime, aGain, dGain) =
>   		calculateNewEv(context.activeState.agc.constraintMode,
>   			       context.activeState.agc.exposureMode,
> -			       hist, effectiveExposureValue);
> +			       hist, effectiveExposureValue, lux);
>   
>   	LOG(RkISP1Agc, Debug)
>   		<< "Divided up shutter, analogue gain and digital gain are "


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