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ipa: rkisp1: agc: Add a histogram-based gain
As for the IPU3, we can estimate the histogram of the luminance. The RkISP1 can estimate multiple ones, the R, G and B ones, the Y only one and a combination of RGB. The one we are interested by in AGC is the Y histogram. Use the hardware revision to determine the number of bins of the produced histogram. Signed-off-by: Jean-Michel Hautbois <jeanmichel.hautbois@ideasonboard.com> Tested-by: Peter Griffin <peter.griffin@linaro.org> Reviewed-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
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4 changed files with 86 additions and 15 deletions
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@ -1,6 +1,6 @@
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/* SPDX-License-Identifier: LGPL-2.1-or-later */
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/*
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* Copyright (C) 2021, Ideas On Board
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* Copyright (C) 2021-2022, Ideas On Board
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*
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* agc.cpp - AGC/AEC mean-based control algorithm
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*/
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@ -16,6 +16,8 @@
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#include <libcamera/ipa/core_ipa_interface.h>
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#include "libipa/histogram.h"
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/**
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* \file agc.h
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*/
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@ -43,6 +45,9 @@ static constexpr utils::Duration kMaxShutterSpeed = 60ms;
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/* Number of frames to wait before calculating stats on minimum exposure */
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static constexpr uint32_t kNumStartupFrames = 10;
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/* Target value to reach for the top 2% of the histogram */
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static constexpr double kEvGainTarget = 0.5;
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/*
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* Relative luminance target.
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*
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@ -54,7 +59,7 @@ static constexpr uint32_t kNumStartupFrames = 10;
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static constexpr double kRelativeLuminanceTarget = 0.4;
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Agc::Agc()
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: frameCount_(0), numCells_(0), filteredExposure_(0s)
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: frameCount_(0), numCells_(0), numHistBins_(0), filteredExposure_(0s)
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{
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}
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@ -65,8 +70,7 @@ Agc::Agc()
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*
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* \return 0
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*/
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int Agc::configure(IPAContext &context,
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[[maybe_unused]] const IPACameraSensorInfo &configInfo)
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int Agc::configure(IPAContext &context, const IPACameraSensorInfo &configInfo)
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{
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/* Configure the default exposure and gain. */
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context.frameContext.agc.gain = std::max(context.configuration.agc.minAnalogueGain, kMinAnalogueGain);
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@ -77,10 +81,22 @@ int Agc::configure(IPAContext &context,
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* - versions < V12 have RKISP1_CIF_ISP_AE_MEAN_MAX_V10 entries,
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* - versions >= V12 have RKISP1_CIF_ISP_AE_MEAN_MAX_V12 entries.
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*/
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if (context.configuration.hw.revision < RKISP1_V12)
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if (context.configuration.hw.revision < RKISP1_V12) {
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numCells_ = RKISP1_CIF_ISP_AE_MEAN_MAX_V10;
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else
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numHistBins_ = RKISP1_CIF_ISP_HIST_BIN_N_MAX_V10;
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} else {
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numCells_ = RKISP1_CIF_ISP_AE_MEAN_MAX_V12;
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numHistBins_ = RKISP1_CIF_ISP_HIST_BIN_N_MAX_V12;
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}
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/*
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* Define the measurement window for AGC as a centered rectangle
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* covering 3/4 of the image width and height.
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*/
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context.configuration.agc.measureWindow.h_offs = configInfo.outputSize.width / 8;
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context.configuration.agc.measureWindow.v_offs = configInfo.outputSize.height / 8;
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context.configuration.agc.measureWindow.h_size = 3 * configInfo.outputSize.width / 4;
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context.configuration.agc.measureWindow.v_size = 3 * configInfo.outputSize.height / 4;
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/* \todo Use actual frame index by populating it in the frameContext. */
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frameCount_ = 0;
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@ -126,8 +142,9 @@ utils::Duration Agc::filterExposure(utils::Duration exposureValue)
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* \brief Estimate the new exposure and gain values
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* \param[inout] frameContext The shared IPA frame Context
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* \param[in] yGain The gain calculated on the current brightness level
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* \param[in] iqMeanGain The gain calculated based on the relative luminance target
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*/
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void Agc::computeExposure(IPAContext &context, double yGain)
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void Agc::computeExposure(IPAContext &context, double yGain, double iqMeanGain)
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{
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IPASessionConfiguration &configuration = context.configuration;
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IPAFrameContext &frameContext = context.frameContext;
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@ -136,6 +153,9 @@ void Agc::computeExposure(IPAContext &context, double yGain)
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uint32_t exposure = frameContext.sensor.exposure;
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double analogueGain = frameContext.sensor.gain;
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/* Use the highest of the two gain estimates. */
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double evGain = std::max(yGain, iqMeanGain);
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utils::Duration minShutterSpeed = configuration.agc.minShutterSpeed;
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utils::Duration maxShutterSpeed = std::min(configuration.agc.maxShutterSpeed,
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kMaxShutterSpeed);
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@ -146,7 +166,7 @@ void Agc::computeExposure(IPAContext &context, double yGain)
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kMaxAnalogueGain);
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/* Consider within 1% of the target as correctly exposed. */
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if (utils::abs_diff(yGain, 1.0) < 0.01)
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if (utils::abs_diff(evGain, 1.0) < 0.01)
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return;
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/* extracted from Rpi::Agc::computeTargetExposure. */
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@ -163,13 +183,13 @@ void Agc::computeExposure(IPAContext &context, double yGain)
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LOG(RkISP1Agc, Debug) << "Actual total exposure " << currentShutter * analogueGain
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<< " Shutter speed " << currentShutter
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<< " Gain " << analogueGain
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<< " Needed ev gain " << yGain;
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<< " Needed ev gain " << evGain;
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/*
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* Calculate the current exposure value for the scene as the latest
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* exposure value applied multiplied by the new estimated gain.
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*/
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utils::Duration exposureValue = effectiveExposureValue * yGain;
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utils::Duration exposureValue = effectiveExposureValue * evGain;
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/* Clamp the exposure value to the min and max authorized. */
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utils::Duration maxTotalExposure = maxShutterSpeed * maxAnalogueGain;
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@ -240,6 +260,18 @@ double Agc::estimateLuminance(const rkisp1_cif_isp_ae_stat *ae,
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return ySum / numCells_ / 255;
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}
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/**
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* \brief Estimate the mean value of the top 2% of the histogram
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* \param[in] hist The histogram statistics computed by the ImgU
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* \return The mean value of the top 2% of the histogram
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*/
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double Agc::measureBrightness(const rkisp1_cif_isp_hist_stat *hist) const
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{
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Histogram histogram{ Span<const uint32_t>(hist->hist_bins, numHistBins_) };
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/* Estimate the quantile mean of the top 2% of the histogram. */
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return histogram.interQuantileMean(0.98, 1.0);
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}
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/**
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* \brief Process RkISP1 statistics, and run AGC operations
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* \param[in] context The shared IPA context
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@ -254,6 +286,10 @@ void Agc::process(IPAContext &context, const rkisp1_stat_buffer *stats)
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ASSERT(stats->meas_type & RKISP1_CIF_ISP_STAT_AUTOEXP);
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const rkisp1_cif_isp_ae_stat *ae = ¶ms->ae;
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const rkisp1_cif_isp_hist_stat *hist = ¶ms->hist;
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double iqMean = measureBrightness(hist);
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double iqMeanGain = kEvGainTarget * numHistBins_ / iqMean;
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/*
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* Estimate the gain needed to achieve a relative luminance target. To
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@ -277,15 +313,44 @@ void Agc::process(IPAContext &context, const rkisp1_stat_buffer *stats)
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break;
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}
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computeExposure(context, yGain);
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computeExposure(context, yGain, iqMeanGain);
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frameCount_++;
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}
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void Agc::prepare([[maybe_unused]] IPAContext &context,
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rkisp1_params_cfg *params)
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/**
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* \copydoc libcamera::ipa::Algorithm::prepare
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*/
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void Agc::prepare(IPAContext &context, rkisp1_params_cfg *params)
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{
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if (context.frameContext.frameCount > 0)
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return;
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/* Configure the measurement window. */
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params->meas.aec_config.meas_window = context.configuration.agc.measureWindow;
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/* Use a continuous method for measure. */
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params->meas.aec_config.autostop = RKISP1_CIF_ISP_EXP_CTRL_AUTOSTOP_0;
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/* Estimate Y as (R + G + B) x (85/256). */
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params->meas.aec_config.mode = RKISP1_CIF_ISP_EXP_MEASURING_MODE_1;
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params->module_cfg_update |= RKISP1_CIF_ISP_MODULE_AEC;
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params->module_ens |= RKISP1_CIF_ISP_MODULE_AEC;
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params->module_en_update |= RKISP1_CIF_ISP_MODULE_AEC;
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/* Configure histogram. */
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params->meas.hst_config.meas_window = context.configuration.agc.measureWindow;
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/* Produce the luminance histogram. */
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params->meas.hst_config.mode = RKISP1_CIF_ISP_HISTOGRAM_MODE_Y_HISTOGRAM;
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/* Set an average weighted histogram. */
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for (unsigned int histBin = 0; histBin < numHistBins_; histBin++)
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params->meas.hst_config.hist_weight[histBin] = 1;
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/* Step size can't be less than 3. */
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params->meas.hst_config.histogram_predivider = 4;
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/* Update the configuration for histogram. */
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params->module_cfg_update |= RKISP1_CIF_ISP_MODULE_HST;
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/* Enable the histogram measure unit. */
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params->module_ens |= RKISP1_CIF_ISP_MODULE_HST;
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params->module_en_update |= RKISP1_CIF_ISP_MODULE_HST;
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}
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} /* namespace ipa::rkisp1::algorithms */
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