/* SPDX-License-Identifier: BSD-2-Clause */ /* * Copyright (C) 2019, Raspberry Pi (Trading) Limited * * awb.hpp - AWB control algorithm */ #pragma once #include <mutex> #include <condition_variable> #include <thread> #include "../awb_algorithm.hpp" #include "../pwl.hpp" #include "../awb_status.h" namespace RPiController { // Control algorithm to perform AWB calculations. struct AwbMode { void Read(boost::property_tree::ptree const ¶ms); double ct_lo; // low CT value for search double ct_hi; // high CT value for search }; struct AwbPrior { void Read(boost::property_tree::ptree const ¶ms); double lux; // lux level Pwl prior; // maps CT to prior log likelihood for this lux level }; struct AwbConfig { AwbConfig() : default_mode(nullptr) {} void Read(boost::property_tree::ptree const ¶ms); // Only repeat the AWB calculation every "this many" frames uint16_t frame_period; // number of initial frames for which speed taken as 1.0 (maximum) uint16_t startup_frames; unsigned int convergence_frames; // approx number of frames to converge double speed; // IIR filter speed applied to algorithm results bool fast; // "fast" mode uses a 16x16 rather than 32x32 grid Pwl ct_r; // function maps CT to r (= R/G) Pwl ct_b; // function maps CT to b (= B/G) // table of illuminant priors at different lux levels std::vector<AwbPrior> priors; // AWB "modes" (determines the search range) std::map<std::string, AwbMode> modes; AwbMode *default_mode; // mode used if no mode selected // minimum proportion of pixels counted within AWB region for it to be // "useful" double min_pixels; // minimum G value of those pixels, to be regarded a "useful" uint16_t min_G; // number of AWB regions that must be "useful" in order to do the AWB // calculation uint32_t min_regions; // clamp on colour error term (so as not to penalise non-grey excessively) double delta_limit; // step size control in coarse search double coarse_step; // how far to wander off CT curve towards "more purple" double transverse_pos; // how far to wander off CT curve towards "more green" double transverse_neg; // red sensitivity ratio (set to canonical sensor's R/G divided by this // sensor's R/G) double sensitivity_r; // blue sensitivity ratio (set to canonical sensor's B/G divided by this // sensor's B/G) double sensitivity_b; // The whitepoint (which we normally "aim" for) can be moved. double whitepoint_r; double whitepoint_b; bool bayes; // use Bayesian algorithm }; class Awb : public AwbAlgorithm { public: Awb(Controller *controller = NULL); ~Awb(); char const *Name() const override; void Initialise() override; void Read(boost::property_tree::ptree const ¶ms) override; // AWB handles "pausing" for itself. bool IsPaused() const override; void Pause() override; void Resume() override; unsigned int GetConvergenceFrames() const override; void SetMode(std::string const &name) override; void SetManualGains(double manual_r, double manual_b) override; void SwitchMode(CameraMode const &camera_mode, Metadata *metadata) override; void Prepare(Metadata *image_metadata) override; void Process(StatisticsPtr &stats, Metadata *image_metadata) override; struct RGB { RGB(double _R = 0, double _G = 0, double _B = 0) : R(_R), G(_G), B(_B) { } double R, G, B; RGB &operator+=(RGB const &other) { R += other.R, G += other.G, B += other.B; return *this; } }; private: bool isAutoEnabled() const; // configuration is read-only, and available to both threads AwbConfig config_; std::thread async_thread_; void asyncFunc(); // asynchronous thread function std::mutex mutex_; // condvar for async thread to wait on std::condition_variable async_signal_; // condvar for synchronous thread to wait on std::condition_variable sync_signal_; // for sync thread to check if async thread finished (requires mutex) bool async_finished_; // for async thread to check if it's been told to run (requires mutex) bool async_start_; // for async thread to check if it's been told to quit (requires mutex) bool async_abort_; // The following are only for the synchronous thread to use: // for sync thread to note its has asked async thread to run bool async_started_; // counts up to frame_period before restarting the async thread int frame_phase_; int frame_count_; // counts up to startup_frames AwbStatus sync_results_; AwbStatus prev_sync_results_; std::string mode_name_; // The following are for the asynchronous thread to use, though the main // thread can set/reset them if the async thread is known to be idle: void restartAsync(StatisticsPtr &stats, double lux); // copy out the results from the async thread so that it can be restarted void fetchAsyncResults(); StatisticsPtr statistics_; AwbMode *mode_; double lux_; AwbStatus async_results_; void doAwb(); void awbBayes(); void awbGrey(); void prepareStats(); double computeDelta2Sum(double gain_r, double gain_b); Pwl interpolatePrior(); double coarseSearch(Pwl const &prior); void fineSearch(double &t, double &r, double &b, Pwl const &prior); std::vector<RGB> zones_; std::vector<Pwl::Point> points_; // manual r setting double manual_r_; // manual b setting double manual_b_; bool first_switch_mode_; // is this the first call to SwitchMode? }; static inline Awb::RGB operator+(Awb::RGB const &a, Awb::RGB const &b) { return Awb::RGB(a.R + b.R, a.G + b.G, a.B + b.B); } static inline Awb::RGB operator-(Awb::RGB const &a, Awb::RGB const &b) { return Awb::RGB(a.R - b.R, a.G - b.G, a.B - b.B); } static inline Awb::RGB operator*(double d, Awb::RGB const &rgb) { return Awb::RGB(d * rgb.R, d * rgb.G, d * rgb.B); } static inline Awb::RGB operator*(Awb::RGB const &rgb, double d) { return d * rgb; } } // namespace RPiController