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s/Raspberry Pi (Trading) Limited/Raspberry Pi Ltd/ to reflect the new Raspberry Pi entity name. Signed-off-by: Naushir Patuck <naush@raspberrypi.com> Reviewed-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com> Signed-off-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
191 lines
5.8 KiB
C++
191 lines
5.8 KiB
C++
/* SPDX-License-Identifier: BSD-2-Clause */
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/*
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* Copyright (C) 2019, Raspberry Pi Ltd
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*
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* awb.h - AWB control algorithm
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*/
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#pragma once
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#include <mutex>
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#include <condition_variable>
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#include <thread>
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#include "../awb_algorithm.h"
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#include "../pwl.h"
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#include "../awb_status.h"
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namespace RPiController {
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/* Control algorithm to perform AWB calculations. */
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struct AwbMode {
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void read(boost::property_tree::ptree const ¶ms);
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double ctLo; /* low CT value for search */
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double ctHi; /* high CT value for search */
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};
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struct AwbPrior {
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void read(boost::property_tree::ptree const ¶ms);
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double lux; /* lux level */
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Pwl prior; /* maps CT to prior log likelihood for this lux level */
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};
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struct AwbConfig {
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AwbConfig() : defaultMode(nullptr) {}
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void read(boost::property_tree::ptree const ¶ms);
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/* Only repeat the AWB calculation every "this many" frames */
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uint16_t framePeriod;
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/* number of initial frames for which speed taken as 1.0 (maximum) */
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uint16_t startupFrames;
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unsigned int convergenceFrames; /* approx number of frames to converge */
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double speed; /* IIR filter speed applied to algorithm results */
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bool fast; /* "fast" mode uses a 16x16 rather than 32x32 grid */
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Pwl ctR; /* function maps CT to r (= R/G) */
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Pwl ctB; /* function maps CT to b (= B/G) */
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/* table of illuminant priors at different lux levels */
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std::vector<AwbPrior> priors;
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/* AWB "modes" (determines the search range) */
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std::map<std::string, AwbMode> modes;
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AwbMode *defaultMode; /* mode used if no mode selected */
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/*
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* minimum proportion of pixels counted within AWB region for it to be
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* "useful"
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*/
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double minPixels;
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/* minimum G value of those pixels, to be regarded a "useful" */
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uint16_t minG;
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/*
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* number of AWB regions that must be "useful" in order to do the AWB
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* calculation
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*/
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uint32_t minRegions;
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/* clamp on colour error term (so as not to penalise non-grey excessively) */
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double deltaLimit;
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/* step size control in coarse search */
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double coarseStep;
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/* how far to wander off CT curve towards "more purple" */
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double transversePos;
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/* how far to wander off CT curve towards "more green" */
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double transverseNeg;
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/*
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* red sensitivity ratio (set to canonical sensor's R/G divided by this
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* sensor's R/G)
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*/
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double sensitivityR;
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/*
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* blue sensitivity ratio (set to canonical sensor's B/G divided by this
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* sensor's B/G)
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*/
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double sensitivityB;
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/* The whitepoint (which we normally "aim" for) can be moved. */
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double whitepointR;
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double whitepointB;
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bool bayes; /* use Bayesian algorithm */
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};
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class Awb : public AwbAlgorithm
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{
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public:
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Awb(Controller *controller = NULL);
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~Awb();
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char const *name() const override;
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void initialise() override;
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void read(boost::property_tree::ptree const ¶ms) override;
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/* AWB handles "pausing" for itself. */
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bool isPaused() const override;
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void pause() override;
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void resume() override;
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unsigned int getConvergenceFrames() const override;
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void setMode(std::string const &name) override;
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void setManualGains(double manualR, double manualB) override;
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void switchMode(CameraMode const &cameraMode, Metadata *metadata) override;
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void prepare(Metadata *imageMetadata) override;
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void process(StatisticsPtr &stats, Metadata *imageMetadata) override;
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struct RGB {
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RGB(double r = 0, double g = 0, double b = 0)
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: R(r), G(g), B(b)
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{
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}
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double R, G, B;
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RGB &operator+=(RGB const &other)
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{
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R += other.R, G += other.G, B += other.B;
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return *this;
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}
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};
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private:
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bool isAutoEnabled() const;
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/* configuration is read-only, and available to both threads */
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AwbConfig config_;
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std::thread asyncThread_;
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void asyncFunc(); /* asynchronous thread function */
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std::mutex mutex_;
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/* condvar for async thread to wait on */
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std::condition_variable asyncSignal_;
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/* condvar for synchronous thread to wait on */
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std::condition_variable syncSignal_;
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/* for sync thread to check if async thread finished (requires mutex) */
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bool asyncFinished_;
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/* for async thread to check if it's been told to run (requires mutex) */
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bool asyncStart_;
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/* for async thread to check if it's been told to quit (requires mutex) */
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bool asyncAbort_;
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/*
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* The following are only for the synchronous thread to use:
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* for sync thread to note its has asked async thread to run
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*/
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bool asyncStarted_;
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/* counts up to framePeriod before restarting the async thread */
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int framePhase_;
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int frameCount_; /* counts up to startup_frames */
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AwbStatus syncResults_;
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AwbStatus prevSyncResults_;
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std::string modeName_;
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/*
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* The following are for the asynchronous thread to use, though the main
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* thread can set/reset them if the async thread is known to be idle:
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*/
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void restartAsync(StatisticsPtr &stats, double lux);
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/* copy out the results from the async thread so that it can be restarted */
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void fetchAsyncResults();
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StatisticsPtr statistics_;
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AwbMode *mode_;
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double lux_;
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AwbStatus asyncResults_;
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void doAwb();
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void awbBayes();
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void awbGrey();
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void prepareStats();
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double computeDelta2Sum(double gainR, double gainB);
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Pwl interpolatePrior();
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double coarseSearch(Pwl const &prior);
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void fineSearch(double &t, double &r, double &b, Pwl const &prior);
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std::vector<RGB> zones_;
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std::vector<Pwl::Point> points_;
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/* manual r setting */
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double manualR_;
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/* manual b setting */
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double manualB_;
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bool firstSwitchMode_; /* is this the first call to SwitchMode? */
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};
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static inline Awb::RGB operator+(Awb::RGB const &a, Awb::RGB const &b)
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{
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return Awb::RGB(a.R + b.R, a.G + b.G, a.B + b.B);
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}
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static inline Awb::RGB operator-(Awb::RGB const &a, Awb::RGB const &b)
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{
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return Awb::RGB(a.R - b.R, a.G - b.G, a.B - b.B);
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}
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static inline Awb::RGB operator*(double d, Awb::RGB const &rgb)
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{
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return Awb::RGB(d * rgb.R, d * rgb.G, d * rgb.B);
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}
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static inline Awb::RGB operator*(Awb::RGB const &rgb, double d)
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{
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return d * rgb;
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}
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} /* namespace RPiController */
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