libcamera  v0.3.2+116-83c5ad0f
Supporting cameras in Linux since 2019
agc_mean_luminance.h
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1 /* SPDX-License-Identifier: LGPL-2.1-or-later */
2 /*
3  * Copyright (C) 2024 Ideas on Board Oy
4  *
5  agc_mean_luminance.h - Base class for mean luminance AGC algorithms
6  */
7 
8 #pragma once
9 
10 #include <map>
11 #include <memory>
12 #include <tuple>
13 #include <vector>
14 
15 #include <libcamera/base/utils.h>
16 
17 #include <libcamera/controls.h>
18 
20 
21 #include "exposure_mode_helper.h"
22 #include "histogram.h"
23 
24 namespace libcamera {
25 
26 namespace ipa {
27 
29 {
30 public:
32  virtual ~AgcMeanLuminance();
33 
34  struct AgcConstraint {
35  enum class Bound {
36  Lower = 0,
37  Upper = 1
38  };
40  double qLo;
41  double qHi;
42  double yTarget;
43  };
44 
45  int parseTuningData(const YamlObject &tuningData);
46 
47  void setLimits(utils::Duration minShutter, utils::Duration maxShutter,
48  double minGain, double maxGain);
49 
50  std::map<int32_t, std::vector<AgcConstraint>> constraintModes()
51  {
52  return constraintModes_;
53  }
54 
55  std::map<int32_t, std::shared_ptr<ExposureModeHelper>> exposureModeHelpers()
56  {
57  return exposureModeHelpers_;
58  }
59 
61  {
62  return controls_;
63  }
64 
65  std::tuple<utils::Duration, double, double>
66  calculateNewEv(uint32_t constraintModeIndex, uint32_t exposureModeIndex,
67  const Histogram &yHist, utils::Duration effectiveExposureValue);
68 
70  {
71  frameCount_ = 0;
72  }
73 
74 private:
75  virtual double estimateLuminance(const double gain) const = 0;
76 
77  void parseRelativeLuminanceTarget(const YamlObject &tuningData);
78  void parseConstraint(const YamlObject &modeDict, int32_t id);
79  int parseConstraintModes(const YamlObject &tuningData);
80  int parseExposureModes(const YamlObject &tuningData);
81  double estimateInitialGain() const;
82  double constraintClampGain(uint32_t constraintModeIndex,
83  const Histogram &hist,
84  double gain);
85  utils::Duration filterExposure(utils::Duration exposureValue);
86 
87  uint64_t frameCount_;
88  utils::Duration filteredExposure_;
89  double relativeLuminanceTarget_;
90 
91  std::map<int32_t, std::vector<AgcConstraint>> constraintModes_;
92  std::map<int32_t, std::shared_ptr<ExposureModeHelper>> exposureModeHelpers_;
93  ControlInfoMap::Map controls_;
94 };
95 
96 } /* namespace ipa */
97 
98 } /* namespace libcamera */
Bound
Specify whether the constraint defines a lower or upper bound.
Definition: agc_mean_luminance.h:35
int parseTuningData(const YamlObject &tuningData)
Parse tuning data for AeConstraintMode and AeExposureMode controls.
Definition: agc_mean_luminance.cpp:359
Top-level libcamera namespace.
Definition: backtrace.h:17
ControlInfoMap::Map controls()
Get the controls that have been generated after parsing tuning data.
Definition: agc_mean_luminance.h:60
Bound bound
The type of constraint bound.
Definition: agc_mean_luminance.h:39
void resetFrameCount()
Reset the frame counter.
Definition: agc_mean_luminance.h:69
double qHi
The upper quantile to use for the constraint.
Definition: agc_mean_luminance.h:41
Miscellaneous utility functions.
std::unordered_map< const ControlId *, ControlInfo > Map
The base std::unsorted_map<> container.
Definition: controls.h:339
A mean-based auto-exposure algorithm.
Definition: agc_mean_luminance.h:28
double yTarget
The luminance target for the constraint.
Definition: agc_mean_luminance.h:42
std::map< int32_t, std::vector< AgcConstraint > > constraintModes()
Get the constraint modes that have been parsed from tuning data.
Definition: agc_mean_luminance.h:50
void setLimits(utils::Duration minShutter, utils::Duration maxShutter, double minGain, double maxGain)
Set the ExposureModeHelper limits for this class.
Definition: agc_mean_luminance.cpp:382
The boundaries and target for an AeConstraintMode constraint.
Definition: agc_mean_luminance.h:34
Helper class that performs computations relating to exposure.
Helper class from std::chrono::duration that represents a time duration in nanoseconds with double pr...
Definition: utils.h:353
The base class for creating histograms.
Definition: histogram.h:22
A class representing the tree structure of the YAML content.
Definition: yaml_parser.h:27
Class to represent Histograms and manipulate them.
Framework to manage controls related to an object.
double qLo
The lower quantile to use for the constraint.
Definition: agc_mean_luminance.h:40
std::map< int32_t, std::shared_ptr< ExposureModeHelper > > exposureModeHelpers()
Get the ExposureModeHelpers that have been parsed from tuning data.
Definition: agc_mean_luminance.h:55
A YAML parser helper.
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 shutter time and gain.
Definition: agc_mean_luminance.cpp:531