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/* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2021-2022, Ideas On Board
*
* agc.cpp - AGC/AEC mean-based control algorithm
*/
#include "agc.h"
#include <algorithm>
#include <chrono>
#include <cmath>
#include <libcamera/base/log.h>
#include <libcamera/base/utils.h>
#include <libcamera/ipa/core_ipa_interface.h>
#include "libipa/histogram.h"
/**
* \file agc.h
*/
namespace libcamera {
using namespace std::literals::chrono_literals;
namespace ipa::rkisp1::algorithms {
/**
* \class Agc
* \brief A mean-based auto-exposure algorithm
*/
LOG_DEFINE_CATEGORY(RkISP1Agc)
/* Limits for analogue gain values */
static constexpr double kMinAnalogueGain = 1.0;
static constexpr double kMaxAnalogueGain = 8.0;
/* \todo Honour the FrameDurationLimits control instead of hardcoding a limit */
static constexpr utils::Duration kMaxShutterSpeed = 60ms;
/* Number of frames to wait before calculating stats on minimum exposure */
static constexpr uint32_t kNumStartupFrames = 10;
/* Target value to reach for the top 2% of the histogram */
static constexpr double kEvGainTarget = 0.5;
/*
* Relative luminance target.
*
* It's a number that's chosen so that, when the camera points at a grey
* target, the resulting image brightness is considered right.
*
* \todo Why is the value different between IPU3 and RkISP1 ?
*/
static constexpr double kRelativeLuminanceTarget = 0.4;
Agc::Agc()
: frameCount_(0), numCells_(0), numHistBins_(0), filteredExposure_(0s)
{
}
/**
* \brief Configure the AGC given a configInfo
* \param[in] context The shared IPA context
* \param[in] configInfo The IPA configuration data
*
* \return 0
*/
int Agc::configure(IPAContext &context, const IPACameraSensorInfo &configInfo)
{
/* Configure the default exposure and gain. */
context.frameContext.agc.gain = std::max(context.configuration.agc.minAnalogueGain, kMinAnalogueGain);
context.frameContext.agc.exposure = 10ms / context.configuration.sensor.lineDuration;
/*
* According to the RkISP1 documentation:
* - versions < V12 have RKISP1_CIF_ISP_AE_MEAN_MAX_V10 entries,
* - versions >= V12 have RKISP1_CIF_ISP_AE_MEAN_MAX_V12 entries.
*/
if (context.configuration.hw.revision < RKISP1_V12) {
numCells_ = RKISP1_CIF_ISP_AE_MEAN_MAX_V10;
numHistBins_ = RKISP1_CIF_ISP_HIST_BIN_N_MAX_V10;
} else {
numCells_ = RKISP1_CIF_ISP_AE_MEAN_MAX_V12;
numHistBins_ = RKISP1_CIF_ISP_HIST_BIN_N_MAX_V12;
}
/*
* Define the measurement window for AGC as a centered rectangle
* covering 3/4 of the image width and height.
*/
context.configuration.agc.measureWindow.h_offs = configInfo.outputSize.width / 8;
context.configuration.agc.measureWindow.v_offs = configInfo.outputSize.height / 8;
context.configuration.agc.measureWindow.h_size = 3 * configInfo.outputSize.width / 4;
context.configuration.agc.measureWindow.v_size = 3 * configInfo.outputSize.height / 4;
/* \todo Use actual frame index by populating it in the frameContext. */
frameCount_ = 0;
return 0;
}
/**
* \brief Apply a filter on the exposure value to limit the speed of changes
* \param[in] exposureValue The target exposure from the AGC algorithm
*
* The speed of the filter is adaptive, and will produce the target quicker
* during startup, or when the target exposure is within 20% of the most recent
* filter output.
*
* \return The filtered exposure
*/
utils::Duration Agc::filterExposure(utils::Duration exposureValue)
{
double speed = 0.2;
/* Adapt instantly if we are in startup phase. */
if (frameCount_ < kNumStartupFrames)
speed = 1.0;
/*
* If we are close to the desired result, go faster to avoid making
* multiple micro-adjustments.
* \todo Make this customisable?
*/
if (filteredExposure_ < 1.2 * exposureValue &&
filteredExposure_ > 0.8 * exposureValue)
speed = sqrt(speed);
filteredExposure_ = speed * exposureValue +
filteredExposure_ * (1.0 - speed);
LOG(RkISP1Agc, Debug) << "After filtering, exposure " << filteredExposure_;
return filteredExposure_;
}
/**
* \brief Estimate the new exposure and gain values
* \param[inout] frameContext The shared IPA frame Context
* \param[in] yGain The gain calculated on the current brightness level
* \param[in] iqMeanGain The gain calculated based on the relative luminance target
*/
void Agc::computeExposure(IPAContext &context, double yGain, double iqMeanGain)
{
IPASessionConfiguration &configuration = context.configuration;
IPAFrameContext &frameContext = context.frameContext;
/* Get the effective exposure and gain applied on the sensor. */
uint32_t exposure = frameContext.sensor.exposure;
double analogueGain = frameContext.sensor.gain;
/* Use the highest of the two gain estimates. */
double evGain = std::max(yGain, iqMeanGain);
utils::Duration minShutterSpeed = configuration.agc.minShutterSpeed;
utils::Duration maxShutterSpeed = std::min(configuration.agc.maxShutterSpeed,
kMaxShutterSpeed);
double minAnalogueGain = std::max(configuration.agc.minAnalogueGain,
kMinAnalogueGain);
double maxAnalogueGain = std::min(configuration.agc.maxAnalogueGain,
kMaxAnalogueGain);
/* Consider within 1% of the target as correctly exposed. */
if (utils::abs_diff(evGain, 1.0) < 0.01)
return;
/* extracted from Rpi::Agc::computeTargetExposure. */
/* Calculate the shutter time in seconds. */
utils::Duration currentShutter = exposure * configuration.sensor.lineDuration;
/*
* Update the exposure value for the next computation using the values
* of exposure and gain really used by the sensor.
*/
utils::Duration effectiveExposureValue = currentShutter * analogueGain;
LOG(RkISP1Agc, Debug) << "Actual total exposure " << currentShutter * analogueGain
<< " Shutter speed " << currentShutter
<< " Gain " << analogueGain
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