diff options
Diffstat (limited to 'src/ipa/ipu3')
-rw-r--r-- | src/ipa/ipu3/ipu3.cpp | 349 | ||||
-rw-r--r-- | src/ipa/ipu3/ipu3_agc.cpp | 205 | ||||
-rw-r--r-- | src/ipa/ipu3/ipu3_agc.h | 71 | ||||
-rw-r--r-- | src/ipa/ipu3/ipu3_awb.cpp | 382 | ||||
-rw-r--r-- | src/ipa/ipu3/ipu3_awb.h | 91 | ||||
-rw-r--r-- | src/ipa/ipu3/meson.build | 27 |
6 files changed, 1125 insertions, 0 deletions
diff --git a/src/ipa/ipu3/ipu3.cpp b/src/ipa/ipu3/ipu3.cpp new file mode 100644 index 00000000..71698d36 --- /dev/null +++ b/src/ipa/ipu3/ipu3.cpp @@ -0,0 +1,349 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2020, Google Inc. + * + * ipu3.cpp - IPU3 Image Processing Algorithms + */ + +#include <stdint.h> +#include <sys/mman.h> + +#include <linux/intel-ipu3.h> +#include <linux/v4l2-controls.h> + +#include <libcamera/base/log.h> + +#include <libcamera/control_ids.h> +#include <libcamera/framebuffer.h> +#include <libcamera/ipa/ipa_interface.h> +#include <libcamera/ipa/ipa_module_info.h> +#include <libcamera/ipa/ipu3_ipa_interface.h> +#include <libcamera/request.h> + +#include "libcamera/internal/framebuffer.h" + +#include "ipu3_agc.h" +#include "ipu3_awb.h" +#include "libipa/camera_sensor_helper.h" + +static constexpr uint32_t kMaxCellWidthPerSet = 160; +static constexpr uint32_t kMaxCellHeightPerSet = 56; + +namespace libcamera { + +LOG_DEFINE_CATEGORY(IPAIPU3) + +namespace ipa::ipu3 { + +class IPAIPU3 : public IPAIPU3Interface +{ +public: + int init(const IPASettings &settings) override; + int start() override; + void stop() override {} + + int configure(const IPAConfigInfo &configInfo) override; + + void mapBuffers(const std::vector<IPABuffer> &buffers) override; + void unmapBuffers(const std::vector<unsigned int> &ids) override; + void processEvent(const IPU3Event &event) override; + +private: + void processControls(unsigned int frame, const ControlList &controls); + void fillParams(unsigned int frame, ipu3_uapi_params *params); + void parseStatistics(unsigned int frame, + int64_t frameTimestamp, + const ipu3_uapi_stats_3a *stats); + + void setControls(unsigned int frame); + void calculateBdsGrid(const Size &bdsOutputSize); + + std::map<unsigned int, MappedFrameBuffer> buffers_; + + ControlInfoMap ctrls_; + + IPACameraSensorInfo sensorInfo_; + + /* Camera sensor controls. */ + uint32_t defVBlank_; + uint32_t exposure_; + uint32_t minExposure_; + uint32_t maxExposure_; + uint32_t gain_; + uint32_t minGain_; + uint32_t maxGain_; + + /* Interface to the AWB algorithm */ + std::unique_ptr<IPU3Awb> awbAlgo_; + /* Interface to the AEC/AGC algorithm */ + std::unique_ptr<IPU3Agc> agcAlgo_; + /* Interface to the Camera Helper */ + std::unique_ptr<CameraSensorHelper> camHelper_; + + /* Local parameter storage */ + struct ipu3_uapi_params params_; + + struct ipu3_uapi_grid_config bdsGrid_; +}; + +int IPAIPU3::init(const IPASettings &settings) +{ + camHelper_ = CameraSensorHelperFactory::create(settings.sensorModel); + if (camHelper_ == nullptr) { + LOG(IPAIPU3, Error) << "Failed to create camera sensor helper for " << settings.sensorModel; + return -ENODEV; + } + + return 0; +} + +int IPAIPU3::start() +{ + setControls(0); + + return 0; +} + +/** + * This method calculates a grid for the AWB algorithm in the IPU3 firmware. + * Its input is the BDS output size calculated in the ImgU. + * It is limited for now to the simplest method: find the lesser error + * with the width/height and respective log2 width/height of the cells. + * + * \todo The frame is divided into cells which can be 8x8 => 128x128. + * As a smaller cell improves the algorithm precision, adapting the + * x_start and y_start parameters of the grid would provoke a loss of + * some pixels but would also result in more accurate algorithms. + */ +void IPAIPU3::calculateBdsGrid(const Size &bdsOutputSize) +{ + uint32_t minError = std::numeric_limits<uint32_t>::max(); + Size best; + Size bestLog2; + bdsGrid_ = {}; + + for (uint32_t widthShift = 3; widthShift <= 7; ++widthShift) { + uint32_t width = std::min(kMaxCellWidthPerSet, + bdsOutputSize.width >> widthShift); + width = width << widthShift; + for (uint32_t heightShift = 3; heightShift <= 7; ++heightShift) { + int32_t height = std::min(kMaxCellHeightPerSet, + bdsOutputSize.height >> heightShift); + height = height << heightShift; + uint32_t error = std::abs(static_cast<int>(width - bdsOutputSize.width)) + + std::abs(static_cast<int>(height - bdsOutputSize.height)); + + if (error > minError) + continue; + + minError = error; + best.width = width; + best.height = height; + bestLog2.width = widthShift; + bestLog2.height = heightShift; + } + } + + bdsGrid_.width = best.width >> bestLog2.width; + bdsGrid_.block_width_log2 = bestLog2.width; + bdsGrid_.height = best.height >> bestLog2.height; + bdsGrid_.block_height_log2 = bestLog2.height; + + LOG(IPAIPU3, Debug) << "Best grid found is: (" + << (int)bdsGrid_.width << " << " << (int)bdsGrid_.block_width_log2 << ") x (" + << (int)bdsGrid_.height << " << " << (int)bdsGrid_.block_height_log2 << ")"; +} + +int IPAIPU3::configure(const IPAConfigInfo &configInfo) +{ + if (configInfo.entityControls.empty()) { + LOG(IPAIPU3, Error) << "No controls provided"; + return -ENODATA; + } + + sensorInfo_ = configInfo.sensorInfo; + + ctrls_ = configInfo.entityControls.at(0); + + const auto itExp = ctrls_.find(V4L2_CID_EXPOSURE); + if (itExp == ctrls_.end()) { + LOG(IPAIPU3, Error) << "Can't find exposure control"; + return -EINVAL; + } + + const auto itGain = ctrls_.find(V4L2_CID_ANALOGUE_GAIN); + if (itGain == ctrls_.end()) { + LOG(IPAIPU3, Error) << "Can't find gain control"; + return -EINVAL; + } + + const auto itVBlank = ctrls_.find(V4L2_CID_VBLANK); + if (itVBlank == ctrls_.end()) { + LOG(IPAIPU3, Error) << "Can't find VBLANK control"; + return -EINVAL; + } + + minExposure_ = std::max(itExp->second.min().get<int32_t>(), 1); + maxExposure_ = itExp->second.max().get<int32_t>(); + exposure_ = minExposure_; + + minGain_ = std::max(itGain->second.min().get<int32_t>(), 1); + maxGain_ = itGain->second.max().get<int32_t>(); + gain_ = minGain_; + + defVBlank_ = itVBlank->second.def().get<int32_t>(); + + params_ = {}; + + calculateBdsGrid(configInfo.bdsOutputSize); + + awbAlgo_ = std::make_unique<IPU3Awb>(); + awbAlgo_->initialise(params_, configInfo.bdsOutputSize, bdsGrid_); + + agcAlgo_ = std::make_unique<IPU3Agc>(); + agcAlgo_->initialise(bdsGrid_, sensorInfo_); + + return 0; +} + +void IPAIPU3::mapBuffers(const std::vector<IPABuffer> &buffers) +{ + for (const IPABuffer &buffer : buffers) { + const FrameBuffer fb(buffer.planes); + buffers_.emplace(buffer.id, + MappedFrameBuffer(&fb, PROT_READ | PROT_WRITE)); + } +} + +void IPAIPU3::unmapBuffers(const std::vector<unsigned int> &ids) +{ + for (unsigned int id : ids) { + auto it = buffers_.find(id); + if (it == buffers_.end()) + continue; + + buffers_.erase(it); + } +} + +void IPAIPU3::processEvent(const IPU3Event &event) +{ + switch (event.op) { + case EventProcessControls: { + processControls(event.frame, event.controls); + break; + } + case EventStatReady: { + auto it = buffers_.find(event.bufferId); + if (it == buffers_.end()) { + LOG(IPAIPU3, Error) << "Could not find stats buffer!"; + return; + } + + Span<uint8_t> mem = it->second.maps()[0]; + const ipu3_uapi_stats_3a *stats = + reinterpret_cast<ipu3_uapi_stats_3a *>(mem.data()); + + parseStatistics(event.frame, event.frameTimestamp, stats); + break; + } + case EventFillParams: { + auto it = buffers_.find(event.bufferId); + if (it == buffers_.end()) { + LOG(IPAIPU3, Error) << "Could not find param buffer!"; + return; + } + + Span<uint8_t> mem = it->second.maps()[0]; + ipu3_uapi_params *params = + reinterpret_cast<ipu3_uapi_params *>(mem.data()); + + fillParams(event.frame, params); + break; + } + default: + LOG(IPAIPU3, Error) << "Unknown event " << event.op; + break; + } +} + +void IPAIPU3::processControls([[maybe_unused]] unsigned int frame, + [[maybe_unused]] const ControlList &controls) +{ + /* \todo Start processing for 'frame' based on 'controls'. */ +} + +void IPAIPU3::fillParams(unsigned int frame, ipu3_uapi_params *params) +{ + if (agcAlgo_->updateControls()) + awbAlgo_->updateWbParameters(params_, agcAlgo_->gamma()); + + *params = params_; + + IPU3Action op; + op.op = ActionParamFilled; + + queueFrameAction.emit(frame, op); +} + +void IPAIPU3::parseStatistics(unsigned int frame, + [[maybe_unused]] int64_t frameTimestamp, + [[maybe_unused]] const ipu3_uapi_stats_3a *stats) +{ + ControlList ctrls(controls::controls); + + double gain = camHelper_->gain(gain_); + agcAlgo_->process(stats, exposure_, gain); + gain_ = camHelper_->gainCode(gain); + + awbAlgo_->calculateWBGains(stats); + + if (agcAlgo_->updateControls()) + setControls(frame); + + /* \todo Use VBlank value calculated from each frame exposure. */ + int64_t frameDuration = sensorInfo_.lineLength * (defVBlank_ + sensorInfo_.outputSize.height) / + (sensorInfo_.pixelRate / 1e6); + ctrls.set(controls::FrameDuration, frameDuration); + + IPU3Action op; + op.op = ActionMetadataReady; + op.controls = ctrls; + + queueFrameAction.emit(frame, op); +} + +void IPAIPU3::setControls(unsigned int frame) +{ + IPU3Action op; + op.op = ActionSetSensorControls; + + ControlList ctrls(ctrls_); + ctrls.set(V4L2_CID_EXPOSURE, static_cast<int32_t>(exposure_)); + ctrls.set(V4L2_CID_ANALOGUE_GAIN, static_cast<int32_t>(gain_)); + op.controls = ctrls; + + queueFrameAction.emit(frame, op); +} + +} /* namespace ipa::ipu3 */ + +/* + * External IPA module interface + */ + +extern "C" { +const struct IPAModuleInfo ipaModuleInfo = { + IPA_MODULE_API_VERSION, + 1, + "PipelineHandlerIPU3", + "ipu3", +}; + +IPAInterface *ipaCreate() +{ + return new ipa::ipu3::IPAIPU3(); +} +} + +} /* namespace libcamera */ diff --git a/src/ipa/ipu3/ipu3_agc.cpp b/src/ipa/ipu3/ipu3_agc.cpp new file mode 100644 index 00000000..6253ab94 --- /dev/null +++ b/src/ipa/ipu3/ipu3_agc.cpp @@ -0,0 +1,205 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2021, Ideas On Board + * + * ipu3_agc.cpp - AGC/AEC control algorithm + */ + +#include "ipu3_agc.h" + +#include <algorithm> +#include <cmath> +#include <numeric> + +#include <libcamera/base/log.h> + +#include <libcamera/ipa/core_ipa_interface.h> + +#include "libipa/histogram.h" + +namespace libcamera { + +using namespace std::literals::chrono_literals; + +namespace ipa::ipu3 { + +LOG_DEFINE_CATEGORY(IPU3Agc) + +/* Number of frames to wait before calculating stats on minimum exposure */ +static constexpr uint32_t kInitialFrameMinAECount = 4; +/* Number of frames to wait between new gain/exposure estimations */ +static constexpr uint32_t kFrameSkipCount = 6; + +/* Maximum ISO value for analogue gain */ +static constexpr uint32_t kMinISO = 100; +static constexpr uint32_t kMaxISO = 1500; + +/* Maximum analogue gain value + * \todo grab it from a camera helper */ +static constexpr uint32_t kMinGain = kMinISO / 100; +static constexpr uint32_t kMaxGain = kMaxISO / 100; + +/* \todo use calculated value based on sensor */ +static constexpr uint32_t kMinExposure = 1; +static constexpr uint32_t kMaxExposure = 1976; + +/* Histogram constants */ +static constexpr uint32_t knumHistogramBins = 256; +static constexpr double kEvGainTarget = 0.5; + +/* A cell is 8 bytes and contains averages for RGB values and saturation ratio */ +static constexpr uint8_t kCellSize = 8; + +IPU3Agc::IPU3Agc() + : frameCount_(0), lastFrame_(0), converged_(false), + updateControls_(false), iqMean_(0.0), gamma_(1.0), + lineDuration_(0s), maxExposureTime_(0s), + prevExposure_(0s), prevExposureNoDg_(0s), + currentExposure_(0s), currentExposureNoDg_(0s) +{ +} + +void IPU3Agc::initialise(struct ipu3_uapi_grid_config &bdsGrid, const IPACameraSensorInfo &sensorInfo) +{ + aeGrid_ = bdsGrid; + + lineDuration_ = sensorInfo.lineLength * 1.0s / sensorInfo.pixelRate; + maxExposureTime_ = kMaxExposure * lineDuration_; +} + +void IPU3Agc::processBrightness(const ipu3_uapi_stats_3a *stats) +{ + const struct ipu3_uapi_grid_config statsAeGrid = stats->stats_4a_config.awb_config.grid; + Rectangle aeRegion = { statsAeGrid.x_start, + statsAeGrid.y_start, + static_cast<unsigned int>(statsAeGrid.x_end - statsAeGrid.x_start) + 1, + static_cast<unsigned int>(statsAeGrid.y_end - statsAeGrid.y_start) + 1 }; + Point topleft = aeRegion.topLeft(); + int topleftX = topleft.x >> aeGrid_.block_width_log2; + int topleftY = topleft.y >> aeGrid_.block_height_log2; + + /* Align to the grid cell width and height */ + uint32_t startX = topleftX << aeGrid_.block_width_log2; + uint32_t startY = topleftY * aeGrid_.width << aeGrid_.block_width_log2; + uint32_t endX = (startX + (aeRegion.size().width >> aeGrid_.block_width_log2)) << aeGrid_.block_width_log2; + uint32_t i, j; + uint32_t count = 0; + + uint32_t hist[knumHistogramBins] = { 0 }; + for (j = topleftY; + j < topleftY + (aeRegion.size().height >> aeGrid_.block_height_log2); + j++) { + for (i = startX + startY; i < endX + startY; i += kCellSize) { + /* + * The grid width (and maybe height) is not reliable. + * We observed a bit shift which makes the value 160 to be 32 in the stats grid. + * Use the one passed at init time. + */ + if (stats->awb_raw_buffer.meta_data[i + 4 + j * aeGrid_.width] == 0) { + uint8_t Gr = stats->awb_raw_buffer.meta_data[i + 0 + j * aeGrid_.width]; + uint8_t Gb = stats->awb_raw_buffer.meta_data[i + 3 + j * aeGrid_.width]; + hist[(Gr + Gb) / 2]++; + count++; + } + } + } + + /* Limit the gamma effect for now */ + gamma_ = 1.1; + + /* Estimate the quantile mean of the top 2% of the histogram */ + iqMean_ = Histogram(Span<uint32_t>(hist)).interQuantileMean(0.98, 1.0); +} + +void IPU3Agc::filterExposure() +{ + double speed = 0.2; + if (prevExposure_ == 0s) { + /* DG stands for digital gain.*/ + prevExposure_ = currentExposure_; + prevExposureNoDg_ = currentExposureNoDg_; + } else { + /* + * If we are close to the desired result, go faster to avoid making + * multiple micro-adjustments. + * \ todo: Make this customisable? + */ + if (prevExposure_ < 1.2 * currentExposure_ && + prevExposure_ > 0.8 * currentExposure_) + speed = sqrt(speed); + + prevExposure_ = speed * currentExposure_ + + prevExposure_ * (1.0 - speed); + prevExposureNoDg_ = speed * currentExposureNoDg_ + + prevExposureNoDg_ * (1.0 - speed); + } + /* + * We can't let the no_dg exposure deviate too far below the + * total exposure, as there might not be enough digital gain available + * in the ISP to hide it (which will cause nasty oscillation). + */ + double fastReduceThreshold = 0.4; + if (prevExposureNoDg_ < + prevExposure_ * fastReduceThreshold) + prevExposureNoDg_ = prevExposure_ * fastReduceThreshold; + LOG(IPU3Agc, Debug) << "After filtering, total_exposure " << prevExposure_; +} + +void IPU3Agc::lockExposureGain(uint32_t &exposure, double &gain) +{ + updateControls_ = false; + + /* Algorithm initialization should wait for first valid frames */ + /* \todo - have a number of frames given by DelayedControls ? + * - implement a function for IIR */ + if ((frameCount_ < kInitialFrameMinAECount) || (frameCount_ - lastFrame_ < kFrameSkipCount)) + return; + + /* Are we correctly exposed ? */ + if (std::abs(iqMean_ - kEvGainTarget * knumHistogramBins) <= 1) { + LOG(IPU3Agc, Debug) << "!!! Good exposure with iqMean = " << iqMean_; + converged_ = true; + } else { + double newGain = kEvGainTarget * knumHistogramBins / iqMean_; + + /* extracted from Rpi::Agc::computeTargetExposure */ + libcamera::utils::Duration currentShutter = exposure * lineDuration_; + currentExposureNoDg_ = currentShutter * gain; + LOG(IPU3Agc, Debug) << "Actual total exposure " << currentExposureNoDg_ + << " Shutter speed " << currentShutter + << " Gain " << gain; + currentExposure_ = currentExposureNoDg_ * newGain; + libcamera::utils::Duration maxTotalExposure = maxExposureTime_ * kMaxGain; + currentExposure_ = std::min(currentExposure_, maxTotalExposure); + LOG(IPU3Agc, Debug) << "Target total exposure " << currentExposure_; + + /* \todo: estimate if we need to desaturate */ + filterExposure(); + + libcamera::utils::Duration newExposure = 0.0s; + if (currentShutter < maxExposureTime_) { + exposure = std::clamp(static_cast<uint32_t>(exposure * currentExposure_ / currentExposureNoDg_), kMinExposure, kMaxExposure); + newExposure = currentExposure_ / exposure; + gain = std::clamp(static_cast<uint32_t>(gain * currentExposure_ / newExposure), kMinGain, kMaxGain); + updateControls_ = true; + } else if (currentShutter >= maxExposureTime_) { + gain = std::clamp(static_cast<uint32_t>(gain * currentExposure_ / currentExposureNoDg_), kMinGain, kMaxGain); + newExposure = currentExposure_ / gain; + exposure = std::clamp(static_cast<uint32_t>(exposure * currentExposure_ / newExposure), kMinExposure, kMaxExposure); + updateControls_ = true; + } + LOG(IPU3Agc, Debug) << "Adjust exposure " << exposure * lineDuration_ << " and gain " << gain; + } + lastFrame_ = frameCount_; +} + +void IPU3Agc::process(const ipu3_uapi_stats_3a *stats, uint32_t &exposure, double &gain) +{ + processBrightness(stats); + lockExposureGain(exposure, gain); + frameCount_++; +} + +} /* namespace ipa::ipu3 */ + +} /* namespace libcamera */ diff --git a/src/ipa/ipu3/ipu3_agc.h b/src/ipa/ipu3/ipu3_agc.h new file mode 100644 index 00000000..3deca3ae --- /dev/null +++ b/src/ipa/ipu3/ipu3_agc.h @@ -0,0 +1,71 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2021, Ideas On Board + * + * ipu3_agc.h - IPU3 AGC/AEC control algorithm + */ +#ifndef __LIBCAMERA_IPU3_AGC_H__ +#define __LIBCAMERA_IPU3_AGC_H__ + +#include <array> +#include <unordered_map> + +#include <linux/intel-ipu3.h> + +#include <libcamera/base/utils.h> + +#include <libcamera/geometry.h> + +#include "libipa/algorithm.h" + +namespace libcamera { + +struct IPACameraSensorInfo; + +namespace ipa::ipu3 { + +using utils::Duration; + +class IPU3Agc : public Algorithm +{ +public: + IPU3Agc(); + ~IPU3Agc() = default; + + void initialise(struct ipu3_uapi_grid_config &bdsGrid, const IPACameraSensorInfo &sensorInfo); + void process(const ipu3_uapi_stats_3a *stats, uint32_t &exposure, double &gain); + bool converged() { return converged_; } + bool updateControls() { return updateControls_; } + /* \todo Use a metadata exchange between IPAs */ + double gamma() { return gamma_; } + +private: + void processBrightness(const ipu3_uapi_stats_3a *stats); + void filterExposure(); + void lockExposureGain(uint32_t &exposure, double &gain); + + struct ipu3_uapi_grid_config aeGrid_; + + uint64_t frameCount_; + uint64_t lastFrame_; + + bool converged_; + bool updateControls_; + + double iqMean_; + double gamma_; + + Duration lineDuration_; + Duration maxExposureTime_; + + Duration prevExposure_; + Duration prevExposureNoDg_; + Duration currentExposure_; + Duration currentExposureNoDg_; +}; + +} /* namespace ipa::ipu3 */ + +} /* namespace libcamera */ + +#endif /* __LIBCAMERA_IPU3_AGC_H__ */ diff --git a/src/ipa/ipu3/ipu3_awb.cpp b/src/ipa/ipu3/ipu3_awb.cpp new file mode 100644 index 00000000..9b409c8f --- /dev/null +++ b/src/ipa/ipu3/ipu3_awb.cpp @@ -0,0 +1,382 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2021, Ideas On Board + * + * ipu3_awb.cpp - AWB control algorithm + */ +#include "ipu3_awb.h" + +#include <cmath> +#include <numeric> +#include <unordered_map> + +#include <libcamera/base/log.h> + +namespace libcamera { + +namespace ipa::ipu3 { + +LOG_DEFINE_CATEGORY(IPU3Awb) + +static constexpr uint32_t kMinZonesCounted = 16; +static constexpr uint32_t kMinGreenLevelInZone = 32; + +/** + * \struct IspStatsRegion + * \brief RGB statistics for a given region + * + * The IspStatsRegion structure is intended to abstract the ISP specific + * statistics and use an agnostic algorithm to compute AWB. + * + * \var IspStatsRegion::counted + * \brief Number of pixels used to calculate the sums + * + * \var IspStatsRegion::uncounted + * \brief Remaining number of pixels in the region + * + * \var IspStatsRegion::rSum + * \brief Sum of the red values in the region + * + * \var IspStatsRegion::gSum + * \brief Sum of the green values in the region + * + * \var IspStatsRegion::bSum + * \brief Sum of the blue values in the region + */ + +/** + * \struct AwbStatus + * \brief AWB parameters calculated + * + * The AwbStatus structure is intended to store the AWB + * parameters calculated by the algorithm + * + * \var AwbStatus::temperatureK + * \brief Color temperature calculated + * + * \var AwbStatus::redGain + * \brief Gain calculated for the red channel + * + * \var AwbStatus::greenGain + * \brief Gain calculated for the green channel + * + * \var AwbStatus::blueGain + * \brief Gain calculated for the blue channel + */ + +/** + * \struct Ipu3AwbCell + * \brief Memory layout for each cell in AWB metadata + * + * The Ipu3AwbCell structure is used to get individual values + * such as red average or saturation ratio in a particular cell. + * + * \var Ipu3AwbCell::greenRedAvg + * \brief Green average for red lines in the cell + * + * \var Ipu3AwbCell::redAvg + * \brief Red average in the cell + * + * \var Ipu3AwbCell::blueAvg + * \brief blue average in the cell + * + * \var Ipu3AwbCell::greenBlueAvg + * \brief Green average for blue lines + * + * \var Ipu3AwbCell::satRatio + * \brief Saturation ratio in the cell + * + * \var Ipu3AwbCell::padding + * \brief array of unused bytes for padding + */ + +/* Default settings for Bayer noise reduction replicated from the Kernel */ +static const struct ipu3_uapi_bnr_static_config imguCssBnrDefaults = { + .wb_gains = { 16, 16, 16, 16 }, + .wb_gains_thr = { 255, 255, 255, 255 }, + .thr_coeffs = { 1700, 0, 31, 31, 0, 16 }, + .thr_ctrl_shd = { 26, 26, 26, 26 }, + .opt_center = { -648, 0, -366, 0 }, + .lut = { + { 17, 23, 28, 32, 36, 39, 42, 45, + 48, 51, 53, 55, 58, 60, 62, 64, + 66, 68, 70, 72, 73, 75, 77, 78, + 80, 82, 83, 85, 86, 88, 89, 90 } }, + .bp_ctrl = { 20, 0, 1, 40, 0, 6, 0, 6, 0 }, + .dn_detect_ctrl = { 9, 3, 4, 0, 8, 0, 1, 1, 1, 1, 0 }, + .column_size = 1296, + .opt_center_sqr = { 419904, 133956 }, +}; + +/* Default settings for Auto White Balance replicated from the Kernel*/ +static const struct ipu3_uapi_awb_config_s imguCssAwbDefaults = { + .rgbs_thr_gr = 8191, + .rgbs_thr_r = 8191, + .rgbs_thr_gb = 8191, + .rgbs_thr_b = 8191 | IPU3_UAPI_AWB_RGBS_THR_B_EN | IPU3_UAPI_AWB_RGBS_THR_B_INCL_SAT, + .grid = { + .width = 160, + .height = 36, + .block_width_log2 = 3, + .block_height_log2 = 4, + .height_per_slice = 1, /* Overridden by kernel. */ + .x_start = 0, + .y_start = 0, + .x_end = 0, + .y_end = 0, + }, +}; + +/* Default color correction matrix defined as an identity matrix */ +static const struct ipu3_uapi_ccm_mat_config imguCssCcmDefault = { + 8191, 0, 0, 0, + 0, 8191, 0, 0, + 0, 0, 8191, 0 +}; + +/* Default settings for Gamma correction */ +const struct ipu3_uapi_gamma_corr_lut imguCssGammaLut = { { + 63, 79, 95, 111, 127, 143, 159, 175, 191, 207, 223, 239, 255, 271, 287, + 303, 319, 335, 351, 367, 383, 399, 415, 431, 447, 463, 479, 495, 511, + 527, 543, 559, 575, 591, 607, 623, 639, 655, 671, 687, 703, 719, 735, + 751, 767, 783, 799, 815, 831, 847, 863, 879, 895, 911, 927, 943, 959, + 975, 991, 1007, 1023, 1039, 1055, 1071, 1087, 1103, 1119, 1135, 1151, + 1167, 1183, 1199, 1215, 1231, 1247, 1263, 1279, 1295, 1311, 1327, 1343, + 1359, 1375, 1391, 1407, 1423, 1439, 1455, 1471, 1487, 1503, 1519, 1535, + 1551, 1567, 1583, 1599, 1615, 1631, 1647, 1663, 1679, 1695, 1711, 1727, + 1743, 1759, 1775, 1791, 1807, 1823, 1839, 1855, 1871, 1887, 1903, 1919, + 1935, 1951, 1967, 1983, 1999, 2015, 2031, 2047, 2063, 2079, 2095, 2111, + 2143, 2175, 2207, 2239, 2271, 2303, 2335, 2367, 2399, 2431, 2463, 2495, + 2527, 2559, 2591, 2623, 2655, 2687, 2719, 2751, 2783, 2815, 2847, 2879, + 2911, 2943, 2975, 3007, 3039, 3071, 3103, 3135, 3167, 3199, 3231, 3263, + 3295, 3327, 3359, 3391, 3423, 3455, 3487, 3519, 3551, 3583, 3615, 3647, + 3679, 3711, 3743, 3775, 3807, 3839, 3871, 3903, 3935, 3967, 3999, 4031, + 4063, 4095, 4127, 4159, 4223, 4287, 4351, 4415, 4479, 4543, 4607, 4671, + 4735, 4799, 4863, 4927, 4991, 5055, 5119, 5183, 5247, 5311, 5375, 5439, + 5503, 5567, 5631, 5695, 5759, 5823, 5887, 5951, 6015, 6079, 6143, 6207, + 6271, 6335, 6399, 6463, 6527, 6591, 6655, 6719, 6783, 6847, 6911, 6975, + 7039, 7103, 7167, 7231, 7295, 7359, 7423, 7487, 7551, 7615, 7679, 7743, + 7807, 7871, 7935, 7999, 8063, 8127, 8191 +} }; + +IPU3Awb::IPU3Awb() + : Algorithm() +{ + asyncResults_.blueGain = 1.0; + asyncResults_.greenGain = 1.0; + asyncResults_.redGain = 1.0; + asyncResults_.temperatureK = 4500; +} + +IPU3Awb::~IPU3Awb() +{ +} + +void IPU3Awb::initialise(ipu3_uapi_params ¶ms, const Size &bdsOutputSize, struct ipu3_uapi_grid_config &bdsGrid) +{ + params.use.acc_awb = 1; + params.acc_param.awb.config = imguCssAwbDefaults; + + awbGrid_ = bdsGrid; + params.acc_param.awb.config.grid = awbGrid_; + + params.use.acc_bnr = 1; + params.acc_param.bnr = imguCssBnrDefaults; + /** + * Optical center is column (respectively row) startminus X (respectively Y) center. + * For the moment use BDS as a first approximation, but it should + * be calculated based on Shading (SHD) parameters. + */ + params.acc_param.bnr.column_size = bdsOutputSize.width; + params.acc_param.bnr.opt_center.x_reset = awbGrid_.x_start - (bdsOutputSize.width / 2); + params.acc_param.bnr.opt_center.y_reset = awbGrid_.y_start - (bdsOutputSize.height / 2); + params.acc_param.bnr.opt_center_sqr.x_sqr_reset = params.acc_param.bnr.opt_center.x_reset + * params.acc_param.bnr.opt_center.x_reset; + params.acc_param.bnr.opt_center_sqr.y_sqr_reset = params.acc_param.bnr.opt_center.y_reset + * params.acc_param.bnr.opt_center.y_reset; + + params.use.acc_ccm = 1; + params.acc_param.ccm = imguCssCcmDefault; + + params.use.acc_gamma = 1; + params.acc_param.gamma.gc_lut = imguCssGammaLut; + params.acc_param.gamma.gc_ctrl.enable = 1; + + zones_.reserve(kAwbStatsSizeX * kAwbStatsSizeY); +} + +/** + * The function estimates the correlated color temperature using + * from RGB color space input. + * In physics and color science, the Planckian locus or black body locus is + * the path or locus that the color of an incandescent black body would take + * in a particular chromaticity space as the blackbody temperature changes. + * + * If a narrow range of color temperatures is considered (those encapsulating + * daylight being the most practical case) one can approximate the Planckian + * locus in order to calculate the CCT in terms of chromaticity coordinates. + * + * More detailed information can be found in: + * https://en.wikipedia.org/wiki/Color_temperature#Approximation + */ +uint32_t IPU3Awb::estimateCCT(double red, double green, double blue) +{ + /* Convert the RGB values to CIE tristimulus values (XYZ) */ + double X = (-0.14282) * (red) + (1.54924) * (green) + (-0.95641) * (blue); + double Y = (-0.32466) * (red) + (1.57837) * (green) + (-0.73191) * (blue); + double Z = (-0.68202) * (red) + (0.77073) * (green) + (0.56332) * (blue); + + /* Calculate the normalized chromaticity values */ + double x = X / (X + Y + Z); + double y = Y / (X + Y + Z); + + /* Calculate CCT */ + double n = (x - 0.3320) / (0.1858 - y); + return 449 * n * n * n + 3525 * n * n + 6823.3 * n + 5520.33; +} + +/* Generate an RGB vector with the average values for each region */ +void IPU3Awb::generateZones(std::vector<RGB> &zones) +{ + for (unsigned int i = 0; i < kAwbStatsSizeX * kAwbStatsSizeY; i++) { + RGB zone; + double counted = awbStats_[i].counted; + if (counted >= kMinZonesCounted) { + zone.G = awbStats_[i].gSum / counted; + if (zone.G >= kMinGreenLevelInZone) { + zone.R = awbStats_[i].rSum / counted; + zone.B = awbStats_[i].bSum / counted; + zones.push_back(zone); + } + } + } +} + +/* Translate the IPU3 statistics into the default statistics region array */ +void IPU3Awb::generateAwbStats(const ipu3_uapi_stats_3a *stats) +{ + uint32_t regionWidth = round(awbGrid_.width / static_cast<double>(kAwbStatsSizeX)); + uint32_t regionHeight = round(awbGrid_.height / static_cast<double>(kAwbStatsSizeY)); + + /* + * Generate a (kAwbStatsSizeX x kAwbStatsSizeY) array from the IPU3 grid which is + * (awbGrid_.width x awbGrid_.height). + */ + for (unsigned int j = 0; j < kAwbStatsSizeY * regionHeight; j++) { + for (unsigned int i = 0; i < kAwbStatsSizeX * regionWidth; i++) { + uint32_t cellPosition = j * awbGrid_.width + i; + uint32_t cellX = (cellPosition / regionWidth) % kAwbStatsSizeX; + uint32_t cellY = ((cellPosition / awbGrid_.width) / regionHeight) % kAwbStatsSizeY; + + uint32_t awbRegionPosition = cellY * kAwbStatsSizeX + cellX; + cellPosition *= 8; + + /* Cast the initial IPU3 structure to simplify the reading */ + Ipu3AwbCell *currentCell = reinterpret_cast<Ipu3AwbCell *>(const_cast<uint8_t *>(&stats->awb_raw_buffer.meta_data[cellPosition])); + if (currentCell->satRatio == 0) { + /* The cell is not saturated, use the current cell */ + awbStats_[awbRegionPosition].counted++; + uint32_t greenValue = currentCell->greenRedAvg + currentCell->greenBlueAvg; + awbStats_[awbRegionPosition].gSum += greenValue / 2; + awbStats_[awbRegionPosition].rSum += currentCell->redAvg; + awbStats_[awbRegionPosition].bSum += currentCell->blueAvg; + } + } + } +} + +void IPU3Awb::clearAwbStats() +{ + for (unsigned int i = 0; i < kAwbStatsSizeX * kAwbStatsSizeY; i++) { + awbStats_[i].bSum = 0; + awbStats_[i].rSum = 0; + awbStats_[i].gSum = 0; + awbStats_[i].counted = 0; + awbStats_[i].uncounted = 0; + } +} + +void IPU3Awb::awbGreyWorld() +{ + LOG(IPU3Awb, Debug) << "Grey world AWB"; + /* + * Make a separate list of the derivatives for each of red and blue, so + * that we can sort them to exclude the extreme gains. We could + * consider some variations, such as normalising all the zones first, or + * doing an L2 average etc. + */ + std::vector<RGB> &redDerivative(zones_); + std::vector<RGB> blueDerivative(redDerivative); + std::sort(redDerivative.begin(), redDerivative.end(), + [](RGB const &a, RGB const &b) { + return a.G * b.R < b.G * a.R; + }); + std::sort(blueDerivative.begin(), blueDerivative.end(), + [](RGB const &a, RGB const &b) { + return a.G * b.B < b.G * a.B; + }); + + /* Average the middle half of the values. */ + int discard = redDerivative.size() / 4; + + RGB sumRed(0, 0, 0); + RGB sumBlue(0, 0, 0); + for (auto ri = redDerivative.begin() + discard, + bi = blueDerivative.begin() + discard; + ri != redDerivative.end() - discard; ri++, bi++) + sumRed += *ri, sumBlue += *bi; + + double redGain = sumRed.G / (sumRed.R + 1), + blueGain = sumBlue.G / (sumBlue.B + 1); + + /* Color temperature is not relevant in Grey world but still useful to estimate it :-) */ + asyncResults_.temperatureK = estimateCCT(sumRed.R, sumRed.G, sumBlue.B); + asyncResults_.redGain = redGain; + asyncResults_.greenGain = 1.0; + asyncResults_.blueGain = blueGain; +} + +void IPU3Awb::calculateWBGains(const ipu3_uapi_stats_3a *stats) +{ + ASSERT(stats->stats_3a_status.awb_en); + zones_.clear(); + clearAwbStats(); + generateAwbStats(stats); + generateZones(zones_); + LOG(IPU3Awb, Debug) << "Valid zones: " << zones_.size(); + if (zones_.size() > 10) { + awbGreyWorld(); + LOG(IPU3Awb, Debug) << "Gain found for red: " << asyncResults_.redGain + << " and for blue: " << asyncResults_.blueGain; + } +} + +void IPU3Awb::updateWbParameters(ipu3_uapi_params ¶ms, double agcGamma) +{ + /* + * Green gains should not be touched and considered 1. + * Default is 16, so do not change it at all. + * 4096 is the value for a gain of 1.0 + */ + params.acc_param.bnr.wb_gains.gr = 16; + params.acc_param.bnr.wb_gains.r = 4096 * asyncResults_.redGain; + params.acc_param.bnr.wb_gains.b = 4096 * asyncResults_.blueGain; + params.acc_param.bnr.wb_gains.gb = 16; + + LOG(IPU3Awb, Debug) << "Color temperature estimated: " << asyncResults_.temperatureK + << " and gamma calculated: " << agcGamma; + + /* The CCM matrix may change when color temperature will be used */ + params.acc_param.ccm = imguCssCcmDefault; + + for (uint32_t i = 0; i < 256; i++) { + double j = i / 255.0; + double gamma = std::pow(j, 1.0 / agcGamma); + /* The maximum value 255 is represented on 13 bits in the IPU3 */ + params.acc_param.gamma.gc_lut.lut[i] = gamma * 8191; + } +} + +} /* namespace ipa::ipu3 */ + +} /* namespace libcamera */ diff --git a/src/ipa/ipu3/ipu3_awb.h b/src/ipa/ipu3/ipu3_awb.h new file mode 100644 index 00000000..122cf68c --- /dev/null +++ b/src/ipa/ipu3/ipu3_awb.h @@ -0,0 +1,91 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2021, Ideas On Board + * + * ipu3_awb.h - IPU3 AWB control algorithm + */ +#ifndef __LIBCAMERA_IPU3_AWB_H__ +#define __LIBCAMERA_IPU3_AWB_H__ + +#include <vector> + +#include <linux/intel-ipu3.h> + +#include <libcamera/geometry.h> + +#include "libipa/algorithm.h" + +namespace libcamera { + +namespace ipa::ipu3 { + +/* Region size for the statistics generation algorithm */ +static constexpr uint32_t kAwbStatsSizeX = 16; +static constexpr uint32_t kAwbStatsSizeY = 12; + +class IPU3Awb : public Algorithm +{ +public: + IPU3Awb(); + ~IPU3Awb(); + + void initialise(ipu3_uapi_params ¶ms, const Size &bdsOutputSize, struct ipu3_uapi_grid_config &bdsGrid); + void calculateWBGains(const ipu3_uapi_stats_3a *stats); + void updateWbParameters(ipu3_uapi_params ¶ms, double agcGamma); + + struct Ipu3AwbCell { + unsigned char greenRedAvg; + unsigned char redAvg; + unsigned char blueAvg; + unsigned char greenBlueAvg; + unsigned char satRatio; + unsigned char padding[3]; + } __attribute__((packed)); + + /* \todo Make these three structs available to all the ISPs ? */ + 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; + } + }; + + struct IspStatsRegion { + unsigned int counted; + unsigned int uncounted; + unsigned long long rSum; + unsigned long long gSum; + unsigned long long bSum; + }; + + struct AwbStatus { + double temperatureK; + double redGain; + double greenGain; + double blueGain; + }; + +private: + void generateZones(std::vector<RGB> &zones); + void generateAwbStats(const ipu3_uapi_stats_3a *stats); + void clearAwbStats(); + void awbGreyWorld(); + uint32_t estimateCCT(double red, double green, double blue); + + struct ipu3_uapi_grid_config awbGrid_; + + std::vector<RGB> zones_; + IspStatsRegion awbStats_[kAwbStatsSizeX * kAwbStatsSizeY]; + AwbStatus asyncResults_; +}; + +} /* namespace ipa::ipu3 */ + +} /* namespace libcamera*/ +#endif /* __LIBCAMERA_IPU3_AWB_H__ */ diff --git a/src/ipa/ipu3/meson.build b/src/ipa/ipu3/meson.build new file mode 100644 index 00000000..b6364190 --- /dev/null +++ b/src/ipa/ipu3/meson.build @@ -0,0 +1,27 @@ +# SPDX-License-Identifier: CC0-1.0 + +ipa_name = 'ipa_ipu3' + +ipu3_ipa_sources = files([ + 'ipu3.cpp', + 'ipu3_agc.cpp', + 'ipu3_awb.cpp', +]) + +mod = shared_module(ipa_name, + [ipu3_ipa_sources, libcamera_generated_ipa_headers], + name_prefix : '', + include_directories : [ipa_includes, libipa_includes], + dependencies : libcamera_private, + link_with : libipa, + install : true, + install_dir : ipa_install_dir) + +if ipa_sign_module + custom_target(ipa_name + '.so.sign', + input : mod, + output : ipa_name + '.so.sign', + command : [ipa_sign, ipa_priv_key, '@INPUT@', '@OUTPUT@'], + install : false, + build_by_default : true) +endif |