libcamera v0.5.1 Supporting cameras in Linux since 2019 |

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Public Member Functions | List of all members
libcamera::ipa::ipu3::algorithms::Agc Class Reference

A mean-based auto-exposure algorithm. More...

Inheritance diagram for libcamera::ipa::ipu3::algorithms::Agc:
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Collaboration diagram for libcamera::ipa::ipu3::algorithms::Agc:
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## Public Member Functions
int | init (IPAContext &context, const YamlObject &tuningData) override
| Initialise the AGC algorithm from tuning files.
int | configure (IPAContext &context, const IPAConfigInfo &configInfo) override
| Configure the AGC given a configInfo.
void | process (IPAContext &context, const uint32_t frame, IPAFrameContext &frameContext, const ipu3_uapi_stats_3a *stats, ControlList &metadata) override
| Process IPU3 statistics, and run AGC operations.
Public Member Functions inherited from libcamera::ipa::Algorithm< Module >
virtual int | init (typename Module::Context &context, const YamlObject &tuningData)
| Initialize the Algorithm with tuning data.
virtual int | configure (typename Module::Context &context, const typename Module::Config &configInfo)
| Configure the Algorithm given an IPAConfigInfo.
virtual void | queueRequest (typename Module::Context &context, const uint32_t frame, typename Module::FrameContext &frameContext, const ControlList &controls)
| Provide control values to the algorithm.
virtual void | prepare (typename Module::Context &context, const uint32_t frame, typename Module::FrameContext &frameContext, typename Module::Params *params)
| Fill the params buffer with ISP processing parameters for a frame.
virtual void | process (typename Module::Context &context, const uint32_t frame, typename Module::FrameContext &frameContext, const typename Module::Stats *stats, ControlList &metadata)
| Process ISP statistics, and run algorithm operations.
virtual int | init (typename Module::Context &context, const YamlObject &tuningData)
| Initialize the Algorithm with tuning data.
virtual int | configure (typename Module::Context &context, const typename Module::Config &configInfo)
| Configure the Algorithm given an IPAConfigInfo.
virtual void | queueRequest (typename Module::Context &context, const uint32_t frame, typename Module::FrameContext &frameContext, const ControlList &controls)
| Provide control values to the algorithm.
virtual void | prepare (typename Module::Context &context, const uint32_t frame, typename Module::FrameContext &frameContext, typename Module::Params *params)
| Fill the params buffer with ISP processing parameters for a frame.
virtual void | process (typename Module::Context &context, const uint32_t frame, typename Module::FrameContext &frameContext, const typename Module::Stats *stats, ControlList &metadata)
| Process ISP statistics, and run algorithm operations.
Public Member Functions inherited from libcamera::ipa::AgcMeanLuminance
int | parseTuningData (const YamlObject &tuningData)
| Parse tuning data for AeConstraintMode and AeExposureMode controls.
void | setLimits (utils::Duration minExposureTime, utils::Duration maxExposureTime, double minGain, double maxGain)
| Set the ExposureModeHelper limits for this class.
std::map< int32_t, std::vector< AgcConstraint > > | constraintModes ()
| Get the constraint modes that have been parsed from tuning data.
std::map< int32_t, std::shared_ptr< ExposureModeHelper > > | exposureModeHelpers ()
| Get the ExposureModeHelpers that have been parsed from tuning data.
ControlInfoMap::Map | controls ()
| Get the controls that have been generated after parsing tuning data.
std::tuple< utils::Duration, double, double > | calculateNewEv (uint32_t constraintModeIndex, uint32_t exposureModeIndex, const Histogram &yHist, utils::Duration effectiveExposureValue)
| Calculate the new exposure value and splut it between exposure time and gain.
void | resetFrameCount ()
| Reset the frame counter.

## Additional Inherited Members
Public Types inherited from libcamera::ipa::Algorithm< Module >
using | Module
| The IPA module type for this class of algorithms.
using | Module
| The IPA module type for this class of algorithms.

## Detailed Description

A mean-based auto-exposure algorithm.

This algorithm calculates an exposure time and an analogue gain so that the average value of the green channel of the brightest 2% of pixels approaches 0.5. The AWB gains are not used here, and all cells in the grid have the same weight, like an average-metering case. In this metering mode, the camera uses light information from the entire scene and creates an average for the final exposure setting, giving no weighting to any particular portion of the metered area.

Reference: Battiato, Messina & Castorina. (2008). Exposure Correction for Imaging Devices: An Overview. 10.1201/9781420054538.ch12.

## Member Function Documentation

## ◆ configure()

int libcamera::ipa::ipu3::algorithms::Agc::configure | ( | IPAContext & | context,
|  | const IPAConfigInfo & | configInfo )
| override

Configure the AGC given a configInfo.

Parameters

  [in] | context | The shared IPA context
  [in] | configInfo | The IPA configuration data

Returns
  0

## ◆ init()

int libcamera::ipa::ipu3::algorithms::Agc::init | ( | IPAContext & | context,
|  | const YamlObject & | tuningData )
| override

Initialise the AGC algorithm from tuning files.

Parameters

  [in] | context | The shared IPA context
  [in] | tuningData | The YamlObject containing Agc tuning data

This function calls the base class' tuningData parsers to discover which control values are supported.

Returns
  0 on success or errors from the base class

## ◆ process()

void libcamera::ipa::ipu3::algorithms::Agc::process | ( | IPAContext & | context,
|  | const uint32_t | frame,
|  | IPAFrameContext & | frameContext,
|  | const ipu3_uapi_stats_3a * | stats,
|  | ControlList & | metadata )
| override

Process IPU3 statistics, and run AGC operations.

Parameters

  [in] | context | The shared IPA context
  [in] | frame | The current frame sequence number
  [in] | frameContext | The current frame context
  [in] | stats | The IPU3 statistics and ISP results
  [out] | metadata | Metadata for the frame, to be filled by the algorithm

Identify the current image brightness, and use that to estimate the optimal new exposure and gain for the scene.

The documentation for this class was generated from the following files:

- src/ipa/ipu3/algorithms/agc.h
- src/ipa/ipu3/algorithms/agc.cpp