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v811_spc009/hardware/google/camera/devices/EmulatedCamera/hwl/EmulatedSensor.cpp

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/*
* Copyright (C) 2012 The Android Open Source Project
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
//#define LOG_NDEBUG 0
//#define LOG_NNDEBUG 0
#define LOG_TAG "EmulatedSensor"
#define ATRACE_TAG ATRACE_TAG_CAMERA
#ifdef LOG_NNDEBUG
#define ALOGVV(...) ALOGV(__VA_ARGS__)
#else
#define ALOGVV(...) ((void)0)
#endif
#include "EmulatedSensor.h"
#include <cutils/properties.h>
#include <inttypes.h>
#include <libyuv.h>
#include <system/camera_metadata.h>
#include <utils/Log.h>
#include <utils/Trace.h>
#include <cmath>
#include <cstdlib>
#include "utils/ExifUtils.h"
#include "utils/HWLUtils.h"
namespace android {
using google_camera_hal::HalCameraMetadata;
using google_camera_hal::MessageType;
using google_camera_hal::NotifyMessage;
const uint32_t EmulatedSensor::kRegularSceneHandshake = 1; // Scene handshake divider
const uint32_t EmulatedSensor::kReducedSceneHandshake = 2; // Scene handshake divider
// 1 us - 30 sec
const nsecs_t EmulatedSensor::kSupportedExposureTimeRange[2] = {1000LL,
30000000000LL};
// ~1/30 s - 30 sec
const nsecs_t EmulatedSensor::kSupportedFrameDurationRange[2] = {33331760LL,
30000000000LL};
const int32_t EmulatedSensor::kSupportedSensitivityRange[2] = {100, 1600};
const int32_t EmulatedSensor::kDefaultSensitivity = 100; // ISO
const nsecs_t EmulatedSensor::kDefaultExposureTime = ms2ns(15);
const nsecs_t EmulatedSensor::kDefaultFrameDuration = ms2ns(33);
// Deadline within we should return the results as soon as possible to
// avoid skewing the frame cycle due to external delays.
const nsecs_t EmulatedSensor::kReturnResultThreshod = 3 * kDefaultFrameDuration;
// Sensor defaults
const uint8_t EmulatedSensor::kSupportedColorFilterArrangement =
ANDROID_SENSOR_INFO_COLOR_FILTER_ARRANGEMENT_RGGB;
const uint32_t EmulatedSensor::kDefaultMaxRawValue = 4000;
const uint32_t EmulatedSensor::kDefaultBlackLevelPattern[4] = {1000, 1000, 1000,
1000};
const nsecs_t EmulatedSensor::kMinVerticalBlank = 10000L;
// Sensor sensitivity
const float EmulatedSensor::kSaturationVoltage = 0.520f;
const uint32_t EmulatedSensor::kSaturationElectrons = 2000;
const float EmulatedSensor::kVoltsPerLuxSecond = 0.100f;
const float EmulatedSensor::kElectronsPerLuxSecond =
EmulatedSensor::kSaturationElectrons / EmulatedSensor::kSaturationVoltage *
EmulatedSensor::kVoltsPerLuxSecond;
const float EmulatedSensor::kReadNoiseStddevBeforeGain = 1.177; // in electrons
const float EmulatedSensor::kReadNoiseStddevAfterGain =
2.100; // in digital counts
const float EmulatedSensor::kReadNoiseVarBeforeGain =
EmulatedSensor::kReadNoiseStddevBeforeGain *
EmulatedSensor::kReadNoiseStddevBeforeGain;
const float EmulatedSensor::kReadNoiseVarAfterGain =
EmulatedSensor::kReadNoiseStddevAfterGain *
EmulatedSensor::kReadNoiseStddevAfterGain;
const uint32_t EmulatedSensor::kMaxRAWStreams = 1;
const uint32_t EmulatedSensor::kMaxProcessedStreams = 3;
const uint32_t EmulatedSensor::kMaxStallingStreams = 2;
const uint32_t EmulatedSensor::kMaxInputStreams = 1;
const uint32_t EmulatedSensor::kMaxLensShadingMapSize[2]{64, 64};
const int32_t EmulatedSensor::kFixedBitPrecision = 64; // 6-bit
// In fixed-point math, saturation point of sensor after gain
const int32_t EmulatedSensor::kSaturationPoint = kFixedBitPrecision * 255;
const camera_metadata_rational EmulatedSensor::kNeutralColorPoint[3] = {
{255, 1}, {255, 1}, {255, 1}};
const float EmulatedSensor::kGreenSplit = 1.f; // No divergence
// Reduce memory usage by allowing only one buffer in sensor, one in jpeg
// compressor and one pending request to avoid stalls.
const uint8_t EmulatedSensor::kPipelineDepth = 3;
const camera_metadata_rational EmulatedSensor::kDefaultColorTransform[9] = {
{1, 1}, {0, 1}, {0, 1}, {0, 1}, {1, 1}, {0, 1}, {0, 1}, {0, 1}, {1, 1}};
const float EmulatedSensor::kDefaultColorCorrectionGains[4] = {1.0f, 1.0f, 1.0f,
1.0f};
const float EmulatedSensor::kDefaultToneMapCurveRed[4] = {.0f, .0f, 1.f, 1.f};
const float EmulatedSensor::kDefaultToneMapCurveGreen[4] = {.0f, .0f, 1.f, 1.f};
const float EmulatedSensor::kDefaultToneMapCurveBlue[4] = {.0f, .0f, 1.f, 1.f};
/** A few utility functions for math, normal distributions */
// Take advantage of IEEE floating-point format to calculate an approximate
// square root. Accurate to within +-3.6%
float sqrtf_approx(float r) {
// Modifier is based on IEEE floating-point representation; the
// manipulations boil down to finding approximate log2, dividing by two, and
// then inverting the log2. A bias is added to make the relative error
// symmetric about the real answer.
const int32_t modifier = 0x1FBB4000;
int32_t r_i = *(int32_t*)(&r);
r_i = (r_i >> 1) + modifier;
return *(float*)(&r_i);
}
EmulatedSensor::EmulatedSensor() : Thread(false), got_vsync_(false) {
gamma_table_.resize(kSaturationPoint + 1);
for (int32_t i = 0; i <= kSaturationPoint; i++) {
gamma_table_[i] = ApplysRGBGamma(i, kSaturationPoint);
}
}
EmulatedSensor::~EmulatedSensor() {
ShutDown();
}
bool EmulatedSensor::AreCharacteristicsSupported(
const SensorCharacteristics& characteristics) {
if ((characteristics.width == 0) || (characteristics.height == 0)) {
ALOGE("%s: Invalid sensor size %zux%zu", __FUNCTION__,
characteristics.width, characteristics.height);
return false;
}
if ((characteristics.full_res_width == 0) ||
(characteristics.full_res_height == 0)) {
ALOGE("%s: Invalid sensor full res size %zux%zu", __FUNCTION__,
characteristics.full_res_width, characteristics.full_res_height);
return false;
}
if ((characteristics.exposure_time_range[0] >=
characteristics.exposure_time_range[1]) ||
((characteristics.exposure_time_range[0] < kSupportedExposureTimeRange[0]) ||
(characteristics.exposure_time_range[1] >
kSupportedExposureTimeRange[1]))) {
ALOGE("%s: Unsupported exposure range", __FUNCTION__);
return false;
}
if ((characteristics.frame_duration_range[0] >=
characteristics.frame_duration_range[1]) ||
((characteristics.frame_duration_range[0] <
kSupportedFrameDurationRange[0]) ||
(characteristics.frame_duration_range[1] >
kSupportedFrameDurationRange[1]))) {
ALOGE("%s: Unsupported frame duration range", __FUNCTION__);
return false;
}
if ((characteristics.sensitivity_range[0] >=
characteristics.sensitivity_range[1]) ||
((characteristics.sensitivity_range[0] < kSupportedSensitivityRange[0]) ||
(characteristics.sensitivity_range[1] > kSupportedSensitivityRange[1])) ||
(!((kDefaultSensitivity >= characteristics.sensitivity_range[0]) &&
(kDefaultSensitivity <= characteristics.sensitivity_range[1])))) {
ALOGE("%s: Unsupported sensitivity range", __FUNCTION__);
return false;
}
if (characteristics.color_arangement != kSupportedColorFilterArrangement) {
ALOGE("%s: Unsupported color arrangement!", __FUNCTION__);
return false;
}
for (const auto& blackLevel : characteristics.black_level_pattern) {
if (blackLevel >= characteristics.max_raw_value) {
ALOGE("%s: Black level matches or exceeds max RAW value!", __FUNCTION__);
return false;
}
}
if ((characteristics.frame_duration_range[0] / characteristics.height) == 0) {
ALOGE("%s: Zero row readout time!", __FUNCTION__);
return false;
}
if (characteristics.max_raw_streams > kMaxRAWStreams) {
ALOGE("%s: RAW streams maximum %u exceeds supported maximum %u",
__FUNCTION__, characteristics.max_raw_streams, kMaxRAWStreams);
return false;
}
if (characteristics.max_processed_streams > kMaxProcessedStreams) {
ALOGE("%s: Processed streams maximum %u exceeds supported maximum %u",
__FUNCTION__, characteristics.max_processed_streams,
kMaxProcessedStreams);
return false;
}
if (characteristics.max_stalling_streams > kMaxStallingStreams) {
ALOGE("%s: Stalling streams maximum %u exceeds supported maximum %u",
__FUNCTION__, characteristics.max_stalling_streams,
kMaxStallingStreams);
return false;
}
if (characteristics.max_input_streams > kMaxInputStreams) {
ALOGE("%s: Input streams maximum %u exceeds supported maximum %u",
__FUNCTION__, characteristics.max_input_streams, kMaxInputStreams);
return false;
}
if ((characteristics.lens_shading_map_size[0] > kMaxLensShadingMapSize[0]) ||
(characteristics.lens_shading_map_size[1] > kMaxLensShadingMapSize[1])) {
ALOGE("%s: Lens shading map [%dx%d] exceeds supprorted maximum [%dx%d]",
__FUNCTION__, characteristics.lens_shading_map_size[0],
characteristics.lens_shading_map_size[1], kMaxLensShadingMapSize[0],
kMaxLensShadingMapSize[1]);
return false;
}
if (characteristics.max_pipeline_depth < kPipelineDepth) {
ALOGE("%s: Pipeline depth %d smaller than supprorted minimum %d",
__FUNCTION__, characteristics.max_pipeline_depth, kPipelineDepth);
return false;
}
return true;
}
static void SplitStreamCombination(
const StreamConfiguration& original_config,
StreamConfiguration* default_mode_config,
StreamConfiguration* max_resolution_mode_config,
StreamConfiguration* input_stream_config) {
// Go through the streams
if (default_mode_config == nullptr || max_resolution_mode_config == nullptr ||
input_stream_config == nullptr) {
ALOGE("%s: Input stream / output stream configs are nullptr", __FUNCTION__);
return;
}
for (const auto& stream : original_config.streams) {
if (stream.stream_type == google_camera_hal::StreamType::kInput) {
input_stream_config->streams.push_back(stream);
continue;
}
if (stream.used_in_default_resolution_mode) {
default_mode_config->streams.push_back(stream);
}
if (stream.used_in_max_resolution_mode) {
max_resolution_mode_config->streams.push_back(stream);
}
}
}
bool EmulatedSensor::IsStreamCombinationSupported(
uint32_t logical_id, const StreamConfiguration& config,
StreamConfigurationMap& default_config_map,
StreamConfigurationMap& max_resolution_config_map,
const PhysicalStreamConfigurationMap& physical_map,
const PhysicalStreamConfigurationMap& physical_map_max_resolution,
const LogicalCharacteristics& sensor_chars) {
StreamConfiguration default_mode_config, max_resolution_mode_config,
input_stream_config;
SplitStreamCombination(config, &default_mode_config,
&max_resolution_mode_config, &input_stream_config);
return IsStreamCombinationSupported(logical_id, default_mode_config,
default_config_map, physical_map,
sensor_chars) &&
IsStreamCombinationSupported(
logical_id, max_resolution_mode_config, max_resolution_config_map,
physical_map_max_resolution, sensor_chars, /*is_max_res*/ true) &&
(IsStreamCombinationSupported(logical_id, input_stream_config,
default_config_map, physical_map,
sensor_chars) ||
IsStreamCombinationSupported(
logical_id, input_stream_config, max_resolution_config_map,
physical_map_max_resolution, sensor_chars, /*is_max_res*/ true));
}
bool EmulatedSensor::IsStreamCombinationSupported(
uint32_t logical_id, const StreamConfiguration& config,
StreamConfigurationMap& config_map,
const PhysicalStreamConfigurationMap& physical_map,
const LogicalCharacteristics& sensor_chars, bool is_max_res) {
uint32_t input_stream_count = 0;
// Map from physical camera id to number of streams for that physical camera
std::map<uint32_t, uint32_t> raw_stream_count;
std::map<uint32_t, uint32_t> processed_stream_count;
std::map<uint32_t, uint32_t> stalling_stream_count;
// Only allow the stream configurations specified in
// dynamicSizeStreamConfigurations.
for (const auto& stream : config.streams) {
bool is_dynamic_output =
(stream.is_physical_camera_stream && stream.group_id != -1);
if (stream.rotation != google_camera_hal::StreamRotation::kRotation0) {
ALOGE("%s: Stream rotation: 0x%x not supported!", __FUNCTION__,
stream.rotation);
return false;
}
if (stream.stream_type == google_camera_hal::StreamType::kInput) {
if (sensor_chars.at(logical_id).max_input_streams == 0) {
ALOGE("%s: Input streams are not supported on this device!",
__FUNCTION__);
return false;
}
auto const& supported_outputs =
config_map.GetValidOutputFormatsForInput(stream.format);
if (supported_outputs.empty()) {
ALOGE("%s: Input stream with format: 0x%x no supported on this device!",
__FUNCTION__, stream.format);
return false;
}
input_stream_count++;
} else {
if (stream.is_physical_camera_stream &&
physical_map.find(stream.physical_camera_id) == physical_map.end()) {
ALOGE("%s: Invalid physical camera id %d", __FUNCTION__,
stream.physical_camera_id);
return false;
}
if (is_dynamic_output) {
auto dynamic_physical_output_formats =
physical_map.at(stream.physical_camera_id)
->GetDynamicPhysicalStreamOutputFormats();
if (dynamic_physical_output_formats.find(stream.format) ==
dynamic_physical_output_formats.end()) {
ALOGE("%s: Unsupported physical stream format %d", __FUNCTION__,
stream.format);
return false;
}
}
switch (stream.format) {
case HAL_PIXEL_FORMAT_BLOB:
if ((stream.data_space != HAL_DATASPACE_V0_JFIF) &&
(stream.data_space != HAL_DATASPACE_UNKNOWN)) {
ALOGE("%s: Unsupported Blob dataspace 0x%x", __FUNCTION__,
stream.data_space);
return false;
}
if (stream.is_physical_camera_stream) {
stalling_stream_count[stream.physical_camera_id]++;
} else {
for (const auto& p : physical_map) {
stalling_stream_count[p.first]++;
}
}
break;
case HAL_PIXEL_FORMAT_RAW16: {
const SensorCharacteristics& sensor_char =
stream.is_physical_camera_stream
? sensor_chars.at(stream.physical_camera_id)
: sensor_chars.at(logical_id);
auto sensor_height =
is_max_res ? sensor_char.full_res_height : sensor_char.height;
auto sensor_width =
is_max_res ? sensor_char.full_res_width : sensor_char.width;
if (stream.height != sensor_height || stream.width != sensor_width) {
ALOGE(
"%s, RAW16 buffer height %d and width %d must match sensor "
"height: %zu"
" and width: %zu",
__FUNCTION__, stream.height, stream.width, sensor_height,
sensor_width);
return false;
}
if (stream.is_physical_camera_stream) {
raw_stream_count[stream.physical_camera_id]++;
} else {
for (const auto& p : physical_map) {
raw_stream_count[p.first]++;
}
}
} break;
default:
if (stream.is_physical_camera_stream) {
processed_stream_count[stream.physical_camera_id]++;
} else {
for (const auto& p : physical_map) {
processed_stream_count[p.first]++;
}
}
}
auto output_sizes =
is_dynamic_output
? physical_map.at(stream.physical_camera_id)
->GetDynamicPhysicalStreamOutputSizes(stream.format)
: stream.is_physical_camera_stream
? physical_map.at(stream.physical_camera_id)
->GetOutputSizes(stream.format)
: config_map.GetOutputSizes(stream.format);
auto stream_size = std::make_pair(stream.width, stream.height);
if (output_sizes.find(stream_size) == output_sizes.end()) {
ALOGE("%s: Stream with size %dx%d and format 0x%x is not supported!",
__FUNCTION__, stream.width, stream.height, stream.format);
return false;
}
}
}
for (const auto& raw_count : raw_stream_count) {
unsigned int max_raw_streams =
sensor_chars.at(raw_count.first).max_raw_streams +
(is_max_res
? 1
: 0); // The extra raw stream is allowed for remosaic reprocessing.
if (raw_count.second > max_raw_streams) {
ALOGE("%s: RAW streams maximum %u exceeds supported maximum %u",
__FUNCTION__, raw_count.second, max_raw_streams);
return false;
}
}
for (const auto& stalling_count : stalling_stream_count) {
if (stalling_count.second >
sensor_chars.at(stalling_count.first).max_stalling_streams) {
ALOGE("%s: Stalling streams maximum %u exceeds supported maximum %u",
__FUNCTION__, stalling_count.second,
sensor_chars.at(stalling_count.first).max_stalling_streams);
return false;
}
}
for (const auto& processed_count : processed_stream_count) {
if (processed_count.second >
sensor_chars.at(processed_count.first).max_processed_streams) {
ALOGE("%s: Processed streams maximum %u exceeds supported maximum %u",
__FUNCTION__, processed_count.second,
sensor_chars.at(processed_count.first).max_processed_streams);
return false;
}
}
if (input_stream_count > sensor_chars.at(logical_id).max_input_streams) {
ALOGE("%s: Input stream maximum %u exceeds supported maximum %u",
__FUNCTION__, input_stream_count,
sensor_chars.at(logical_id).max_input_streams);
return false;
}
return true;
}
status_t EmulatedSensor::StartUp(
uint32_t logical_camera_id,
std::unique_ptr<LogicalCharacteristics> logical_chars) {
if (isRunning()) {
return OK;
}
if (logical_chars.get() == nullptr) {
return BAD_VALUE;
}
chars_ = std::move(logical_chars);
auto device_chars = chars_->find(logical_camera_id);
if (device_chars == chars_->end()) {
ALOGE(
"%s: Logical camera id: %u absent from logical camera characteristics!",
__FUNCTION__, logical_camera_id);
return BAD_VALUE;
}
for (const auto& it : *chars_) {
if (!AreCharacteristicsSupported(it.second)) {
ALOGE("%s: Sensor characteristics for camera id: %u not supported!",
__FUNCTION__, it.first);
return BAD_VALUE;
}
}
logical_camera_id_ = logical_camera_id;
scene_ = new EmulatedScene(
device_chars->second.full_res_width, device_chars->second.full_res_height,
kElectronsPerLuxSecond, device_chars->second.orientation,
device_chars->second.is_front_facing);
scene_->InitializeSensorQueue();
jpeg_compressor_ = std::make_unique<JpegCompressor>();
auto res = run(LOG_TAG, ANDROID_PRIORITY_URGENT_DISPLAY);
if (res != OK) {
ALOGE("Unable to start up sensor capture thread: %d", res);
}
return res;
}
status_t EmulatedSensor::ShutDown() {
int res;
res = requestExitAndWait();
if (res != OK) {
ALOGE("Unable to shut down sensor capture thread: %d", res);
}
return res;
}
void EmulatedSensor::SetCurrentRequest(
std::unique_ptr<LogicalCameraSettings> logical_settings,
std::unique_ptr<HwlPipelineResult> result,
std::unique_ptr<Buffers> input_buffers,
std::unique_ptr<Buffers> output_buffers) {
Mutex::Autolock lock(control_mutex_);
current_settings_ = std::move(logical_settings);
current_result_ = std::move(result);
current_input_buffers_ = std::move(input_buffers);
current_output_buffers_ = std::move(output_buffers);
}
bool EmulatedSensor::WaitForVSyncLocked(nsecs_t reltime) {
got_vsync_ = false;
while (!got_vsync_) {
auto res = vsync_.waitRelative(control_mutex_, reltime);
if (res != OK && res != TIMED_OUT) {
ALOGE("%s: Error waiting for VSync signal: %d", __FUNCTION__, res);
return false;
}
}
return got_vsync_;
}
bool EmulatedSensor::WaitForVSync(nsecs_t reltime) {
Mutex::Autolock lock(control_mutex_);
return WaitForVSyncLocked(reltime);
}
status_t EmulatedSensor::Flush() {
Mutex::Autolock lock(control_mutex_);
auto ret = WaitForVSyncLocked(kSupportedFrameDurationRange[1]);
// First recreate the jpeg compressor. This will abort any ongoing processing
// and flush any pending jobs.
jpeg_compressor_ = std::make_unique<JpegCompressor>();
// Then return any pending frames here
if ((current_input_buffers_.get() != nullptr) &&
(!current_input_buffers_->empty())) {
current_input_buffers_->clear();
}
if ((current_output_buffers_.get() != nullptr) &&
(!current_output_buffers_->empty())) {
for (const auto& buffer : *current_output_buffers_) {
buffer->stream_buffer.status = BufferStatus::kError;
}
if ((current_result_.get() != nullptr) &&
(current_result_->result_metadata.get() != nullptr)) {
if (current_output_buffers_->at(0)->callback.notify != nullptr) {
NotifyMessage msg{
.type = MessageType::kError,
.message.error = {
.frame_number = current_output_buffers_->at(0)->frame_number,
.error_stream_id = -1,
.error_code = ErrorCode::kErrorResult,
}};
current_output_buffers_->at(0)->callback.notify(
current_result_->pipeline_id, msg);
}
}
current_output_buffers_->clear();
}
return ret ? OK : TIMED_OUT;
}
bool EmulatedSensor::threadLoop() {
ATRACE_CALL();
/**
* Sensor capture operation main loop.
*
*/
/**
* Stage 1: Read in latest control parameters
*/
std::unique_ptr<Buffers> next_buffers;
std::unique_ptr<Buffers> next_input_buffer;
std::unique_ptr<HwlPipelineResult> next_result;
std::unique_ptr<LogicalCameraSettings> settings;
HwlPipelineCallback callback = {nullptr, nullptr};
{
Mutex::Autolock lock(control_mutex_);
std::swap(settings, current_settings_);
std::swap(next_buffers, current_output_buffers_);
std::swap(next_input_buffer, current_input_buffers_);
std::swap(next_result, current_result_);
// Signal VSync for start of readout
ALOGVV("Sensor VSync");
got_vsync_ = true;
vsync_.signal();
}
auto frame_duration = EmulatedSensor::kSupportedFrameDurationRange[0];
// Frame duration must always be the same among all physical devices
if ((settings.get() != nullptr) && (!settings->empty())) {
frame_duration = settings->begin()->second.frame_duration;
}
nsecs_t start_real_time = systemTime();
// Stagefright cares about system time for timestamps, so base simulated
// time on that.
nsecs_t frame_end_real_time = start_real_time + frame_duration;
/**
* Stage 2: Capture new image
*/
next_capture_time_ = frame_end_real_time;
sensor_binning_factor_info_.clear();
bool reprocess_request = false;
if ((next_input_buffer.get() != nullptr) && (!next_input_buffer->empty())) {
if (next_input_buffer->size() > 1) {
ALOGW("%s: Reprocess supports only single input!", __FUNCTION__);
}
camera_metadata_ro_entry_t entry;
auto ret =
next_result->result_metadata->Get(ANDROID_SENSOR_TIMESTAMP, &entry);
if ((ret == OK) && (entry.count == 1)) {
next_capture_time_ = entry.data.i64[0];
} else {
ALOGW("%s: Reprocess timestamp absent!", __FUNCTION__);
}
reprocess_request = true;
}
if ((next_buffers != nullptr) && (settings != nullptr)) {
callback = next_buffers->at(0)->callback;
if (callback.notify != nullptr) {
NotifyMessage msg{
.type = MessageType::kShutter,
.message.shutter = {
.frame_number = next_buffers->at(0)->frame_number,
.timestamp_ns = static_cast<uint64_t>(next_capture_time_)}};
callback.notify(next_result->pipeline_id, msg);
}
auto b = next_buffers->begin();
while (b != next_buffers->end()) {
auto device_settings = settings->find((*b)->camera_id);
if (device_settings == settings->end()) {
ALOGE("%s: Sensor settings absent for device: %d", __func__,
(*b)->camera_id);
b = next_buffers->erase(b);
continue;
}
auto device_chars = chars_->find((*b)->camera_id);
if (device_chars == chars_->end()) {
ALOGE("%s: Sensor characteristics absent for device: %d", __func__,
(*b)->camera_id);
b = next_buffers->erase(b);
continue;
}
sensor_binning_factor_info_[(*b)->camera_id].quad_bayer_sensor =
device_chars->second.quad_bayer_sensor;
ALOGVV("Starting next capture: Exposure: %" PRIu64 " ms, gain: %d",
ns2ms(device_settings->second.exposure_time),
device_settings->second.gain);
scene_->Initialize(device_chars->second.full_res_width,
device_chars->second.full_res_height,
kElectronsPerLuxSecond);
scene_->SetExposureDuration((float)device_settings->second.exposure_time /
1e9);
scene_->SetColorFilterXYZ(device_chars->second.color_filter.rX,
device_chars->second.color_filter.rY,
device_chars->second.color_filter.rZ,
device_chars->second.color_filter.grX,
device_chars->second.color_filter.grY,
device_chars->second.color_filter.grZ,
device_chars->second.color_filter.gbX,
device_chars->second.color_filter.gbY,
device_chars->second.color_filter.gbZ,
device_chars->second.color_filter.bX,
device_chars->second.color_filter.bY,
device_chars->second.color_filter.bZ);
scene_->SetTestPattern(device_settings->second.test_pattern_mode ==
ANDROID_SENSOR_TEST_PATTERN_MODE_SOLID_COLOR);
scene_->SetTestPatternData(device_settings->second.test_pattern_data);
uint32_t handshake_divider =
(device_settings->second.video_stab == ANDROID_CONTROL_VIDEO_STABILIZATION_MODE_ON) ?
kReducedSceneHandshake : kRegularSceneHandshake;
scene_->CalculateScene(next_capture_time_, handshake_divider);
(*b)->stream_buffer.status = BufferStatus::kOk;
bool max_res_mode = device_settings->second.sensor_pixel_mode;
sensor_binning_factor_info_[(*b)->camera_id].max_res_request =
max_res_mode;
switch ((*b)->format) {
case PixelFormat::RAW16:
sensor_binning_factor_info_[(*b)->camera_id].has_raw_stream = true;
break;
default:
sensor_binning_factor_info_[(*b)->camera_id].has_non_raw_stream = true;
}
// TODO: remove hack. Implement RAW -> YUV / JPEG reprocessing http://b/192382904
bool treat_as_reprocess =
(device_chars->second.quad_bayer_sensor && reprocess_request &&
(*next_input_buffer->begin())->format == PixelFormat::RAW16)
? false
: reprocess_request;
switch ((*b)->format) {
case PixelFormat::RAW16:
if (!reprocess_request) {
uint64_t min_full_res_raw_size =
2 * device_chars->second.full_res_width *
device_chars->second.full_res_height;
uint64_t min_default_raw_size =
2 * device_chars->second.width * device_chars->second.height;
bool default_mode_for_qb =
device_chars->second.quad_bayer_sensor && !max_res_mode;
size_t buffer_size = (*b)->plane.img.buffer_size;
if (default_mode_for_qb) {
if (buffer_size < min_default_raw_size) {
ALOGE(
"%s: Output buffer size too small for RAW capture in "
"default "
"mode, "
"expected %" PRIu64 ", got %zu, for camera id %d",
__FUNCTION__, min_default_raw_size, buffer_size,
(*b)->camera_id);
(*b)->stream_buffer.status = BufferStatus::kError;
break;
}
} else if (buffer_size < min_full_res_raw_size) {
ALOGE(
"%s: Output buffer size too small for RAW capture in max res "
"mode, "
"expected %" PRIu64 ", got %zu, for camera id %d",
__FUNCTION__, min_full_res_raw_size, buffer_size,
(*b)->camera_id);
(*b)->stream_buffer.status = BufferStatus::kError;
break;
}
if (default_mode_for_qb) {
CaptureRawBinned(
(*b)->plane.img.img, (*b)->plane.img.stride_in_bytes,
device_settings->second.gain, device_chars->second);
} else {
CaptureRawFullRes(
(*b)->plane.img.img, (*b)->plane.img.stride_in_bytes,
device_settings->second.gain, device_chars->second);
}
} else {
if (!device_chars->second.quad_bayer_sensor) {
ALOGE(
"%s: Reprocess requests with output format %x no supported!",
__FUNCTION__, (*b)->format);
(*b)->stream_buffer.status = BufferStatus::kError;
break;
}
// Remosaic the RAW input buffer
if ((*next_input_buffer->begin())->width != (*b)->width ||
(*next_input_buffer->begin())->height != (*b)->height) {
ALOGE(
"%s: RAW16 input dimensions %dx%d don't match output buffer "
"dimensions %dx%d",
__FUNCTION__, (*next_input_buffer->begin())->width,
(*next_input_buffer->begin())->height, (*b)->width,
(*b)->height);
(*b)->stream_buffer.status = BufferStatus::kError;
break;
}
ALOGV("%s remosaic Raw16 Image", __FUNCTION__);
RemosaicRAW16Image(
(uint16_t*)(*next_input_buffer->begin())->plane.img.img,
(uint16_t*)(*b)->plane.img.img, (*b)->plane.img.stride_in_bytes,
device_chars->second);
}
break;
case PixelFormat::RGB_888:
if (!reprocess_request) {
CaptureRGB((*b)->plane.img.img, (*b)->width, (*b)->height,
(*b)->plane.img.stride_in_bytes, RGBLayout::RGB,
device_settings->second.gain, device_chars->second);
} else {
ALOGE("%s: Reprocess requests with output format %x no supported!",
__FUNCTION__, (*b)->format);
(*b)->stream_buffer.status = BufferStatus::kError;
}
break;
case PixelFormat::RGBA_8888:
if (!reprocess_request) {
CaptureRGB((*b)->plane.img.img, (*b)->width, (*b)->height,
(*b)->plane.img.stride_in_bytes, RGBLayout::RGBA,
device_settings->second.gain, device_chars->second);
} else {
ALOGE("%s: Reprocess requests with output format %x no supported!",
__FUNCTION__, (*b)->format);
(*b)->stream_buffer.status = BufferStatus::kError;
}
break;
case PixelFormat::BLOB:
if ((*b)->dataSpace == HAL_DATASPACE_V0_JFIF) {
YUV420Frame yuv_input{
.width = treat_as_reprocess
? (*next_input_buffer->begin())->width
: 0,
.height = treat_as_reprocess
? (*next_input_buffer->begin())->height
: 0,
.planes = treat_as_reprocess
? (*next_input_buffer->begin())->plane.img_y_crcb
: YCbCrPlanes{}};
auto jpeg_input = std::make_unique<JpegYUV420Input>();
jpeg_input->width = (*b)->width;
jpeg_input->height = (*b)->height;
auto img =
new uint8_t[(jpeg_input->width * jpeg_input->height * 3) / 2];
jpeg_input->yuv_planes = {
.img_y = img,
.img_cb = img + jpeg_input->width * jpeg_input->height,
.img_cr = img + (jpeg_input->width * jpeg_input->height * 5) / 4,
.y_stride = jpeg_input->width,
.cbcr_stride = jpeg_input->width / 2,
.cbcr_step = 1};
jpeg_input->buffer_owner = true;
YUV420Frame yuv_output{.width = jpeg_input->width,
.height = jpeg_input->height,
.planes = jpeg_input->yuv_planes};
bool rotate =
device_settings->second.rotate_and_crop == ANDROID_SCALER_ROTATE_AND_CROP_90;
ProcessType process_type =
treat_as_reprocess ? REPROCESS
: (device_settings->second.edge_mode ==
ANDROID_EDGE_MODE_HIGH_QUALITY)
? HIGH_QUALITY
: REGULAR;
auto ret = ProcessYUV420(
yuv_input, yuv_output, device_settings->second.gain,
process_type, device_settings->second.zoom_ratio,
rotate, device_chars->second);
if (ret != 0) {
(*b)->stream_buffer.status = BufferStatus::kError;
break;
}
auto jpeg_job = std::make_unique<JpegYUV420Job>();
jpeg_job->exif_utils = std::unique_ptr<ExifUtils>(
ExifUtils::Create(device_chars->second));
jpeg_job->input = std::move(jpeg_input);
// If jpeg compression is successful, then the jpeg compressor
// must set the corresponding status.
(*b)->stream_buffer.status = BufferStatus::kError;
std::swap(jpeg_job->output, *b);
jpeg_job->result_metadata =
HalCameraMetadata::Clone(next_result->result_metadata.get());
Mutex::Autolock lock(control_mutex_);
jpeg_compressor_->QueueYUV420(std::move(jpeg_job));
} else {
ALOGE("%s: Format %x with dataspace %x is TODO", __FUNCTION__,
(*b)->format, (*b)->dataSpace);
(*b)->stream_buffer.status = BufferStatus::kError;
}
break;
case PixelFormat::YCRCB_420_SP:
case PixelFormat::YCBCR_420_888: {
YUV420Frame yuv_input{
.width =
treat_as_reprocess ? (*next_input_buffer->begin())->width : 0,
.height =
treat_as_reprocess ? (*next_input_buffer->begin())->height : 0,
.planes = treat_as_reprocess
? (*next_input_buffer->begin())->plane.img_y_crcb
: YCbCrPlanes{}};
YUV420Frame yuv_output{.width = (*b)->width,
.height = (*b)->height,
.planes = (*b)->plane.img_y_crcb};
bool rotate =
device_settings->second.rotate_and_crop == ANDROID_SCALER_ROTATE_AND_CROP_90;
ProcessType process_type = treat_as_reprocess
? REPROCESS
: (device_settings->second.edge_mode ==
ANDROID_EDGE_MODE_HIGH_QUALITY)
? HIGH_QUALITY
: REGULAR;
auto ret = ProcessYUV420(
yuv_input, yuv_output, device_settings->second.gain,
process_type, device_settings->second.zoom_ratio,
rotate, device_chars->second);
if (ret != 0) {
(*b)->stream_buffer.status = BufferStatus::kError;
}
} break;
case PixelFormat::Y16:
if (!reprocess_request) {
if ((*b)->dataSpace == HAL_DATASPACE_DEPTH) {
CaptureDepth((*b)->plane.img.img, device_settings->second.gain,
(*b)->width, (*b)->height,
(*b)->plane.img.stride_in_bytes,
device_chars->second);
} else {
ALOGE("%s: Format %x with dataspace %x is TODO", __FUNCTION__,
(*b)->format, (*b)->dataSpace);
(*b)->stream_buffer.status = BufferStatus::kError;
}
} else {
ALOGE("%s: Reprocess requests with output format %x no supported!",
__FUNCTION__, (*b)->format);
(*b)->stream_buffer.status = BufferStatus::kError;
}
break;
case PixelFormat::YCBCR_P010:
if (!reprocess_request) {
bool rotate = device_settings->second.rotate_and_crop ==
ANDROID_SCALER_ROTATE_AND_CROP_90;
CaptureYUV420((*b)->plane.img_y_crcb, (*b)->width, (*b)->height,
device_settings->second.gain,
device_settings->second.zoom_ratio, rotate,
device_chars->second);
} else {
ALOGE(
"%s: Reprocess requests with output format %x no supported!",
__FUNCTION__, (*b)->format);
(*b)->stream_buffer.status = BufferStatus::kError;
}
break;
default:
ALOGE("%s: Unknown format %x, no output", __FUNCTION__, (*b)->format);
(*b)->stream_buffer.status = BufferStatus::kError;
break;
}
b = next_buffers->erase(b);
}
}
if (reprocess_request) {
auto input_buffer = next_input_buffer->begin();
while (input_buffer != next_input_buffer->end()) {
(*input_buffer++)->stream_buffer.status = BufferStatus::kOk;
}
next_input_buffer->clear();
}
nsecs_t work_done_real_time = systemTime();
// Returning the results at this point is not entirely correct from timing
// perspective. Under ideal conditions where 'ReturnResults' completes
// in less than 'time_accuracy' we need to return the results after the
// frame cycle expires. However under real conditions various system
// components like SurfaceFlinger, Encoder, LMK etc. could be consuming most
// of the resources and the duration of "ReturnResults" can get comparable to
// 'kDefaultFrameDuration'. This will skew the frame cycle and can result in
// potential frame drops. To avoid this scenario when we are running under
// tight deadlines (less than 'kReturnResultThreshod') try to return the
// results immediately. In all other cases with more relaxed deadlines
// the occasional bump during 'ReturnResults' should not have any
// noticeable effect.
if ((work_done_real_time + kReturnResultThreshod) > frame_end_real_time) {
ReturnResults(callback, std::move(settings), std::move(next_result),
reprocess_request);
}
work_done_real_time = systemTime();
ALOGVV("Sensor vertical blanking interval");
const nsecs_t time_accuracy = 2e6; // 2 ms of imprecision is ok
if (work_done_real_time < frame_end_real_time - time_accuracy) {
timespec t;
t.tv_sec = (frame_end_real_time - work_done_real_time) / 1000000000L;
t.tv_nsec = (frame_end_real_time - work_done_real_time) % 1000000000L;
int ret;
do {
ret = nanosleep(&t, &t);
} while (ret != 0);
}
nsecs_t end_real_time __unused = systemTime();
ALOGVV("Frame cycle took %" PRIu64 " ms, target %" PRIu64 " ms",
ns2ms(end_real_time - start_real_time), ns2ms(frame_duration));
ReturnResults(callback, std::move(settings), std::move(next_result),
reprocess_request);
return true;
};
void EmulatedSensor::ReturnResults(
HwlPipelineCallback callback,
std::unique_ptr<LogicalCameraSettings> settings,
std::unique_ptr<HwlPipelineResult> result, bool reprocess_request) {
if ((callback.process_pipeline_result != nullptr) &&
(result.get() != nullptr) && (result->result_metadata.get() != nullptr)) {
auto logical_settings = settings->find(logical_camera_id_);
if (logical_settings == settings->end()) {
ALOGE("%s: Logical camera id: %u not found in settings!", __FUNCTION__,
logical_camera_id_);
return;
}
auto device_chars = chars_->find(logical_camera_id_);
if (device_chars == chars_->end()) {
ALOGE("%s: Sensor characteristics absent for device: %d", __func__,
logical_camera_id_);
return;
}
result->result_metadata->Set(ANDROID_SENSOR_TIMESTAMP, &next_capture_time_,
1);
uint8_t raw_binned_factor_used = false;
if (sensor_binning_factor_info_.find(logical_camera_id_) !=
sensor_binning_factor_info_.end()) {
auto& info = sensor_binning_factor_info_[logical_camera_id_];
// Logical stream was included in the request
if (!reprocess_request && info.quad_bayer_sensor && info.max_res_request &&
info.has_raw_stream && !info.has_non_raw_stream) {
raw_binned_factor_used = true;
}
result->result_metadata->Set(ANDROID_SENSOR_RAW_BINNING_FACTOR_USED,
&raw_binned_factor_used, 1);
}
if (logical_settings->second.lens_shading_map_mode ==
ANDROID_STATISTICS_LENS_SHADING_MAP_MODE_ON) {
if ((device_chars->second.lens_shading_map_size[0] > 0) &&
(device_chars->second.lens_shading_map_size[1] > 0)) {
// Perfect lens, no actual shading needed.
std::vector<float> lens_shading_map(
device_chars->second.lens_shading_map_size[0] *
device_chars->second.lens_shading_map_size[1] * 4,
1.f);
result->result_metadata->Set(ANDROID_STATISTICS_LENS_SHADING_MAP,
lens_shading_map.data(),
lens_shading_map.size());
}
}
if (logical_settings->second.report_video_stab) {
result->result_metadata->Set(ANDROID_CONTROL_VIDEO_STABILIZATION_MODE,
&logical_settings->second.video_stab, 1);
}
if (logical_settings->second.report_edge_mode) {
result->result_metadata->Set(ANDROID_EDGE_MODE,
&logical_settings->second.edge_mode, 1);
}
if (logical_settings->second.report_neutral_color_point) {
result->result_metadata->Set(ANDROID_SENSOR_NEUTRAL_COLOR_POINT,
kNeutralColorPoint,
ARRAY_SIZE(kNeutralColorPoint));
}
if (logical_settings->second.report_green_split) {
result->result_metadata->Set(ANDROID_SENSOR_GREEN_SPLIT, &kGreenSplit, 1);
}
if (logical_settings->second.report_noise_profile) {
CalculateAndAppendNoiseProfile(
logical_settings->second.gain,
GetBaseGainFactor(device_chars->second.max_raw_value),
result->result_metadata.get());
}
if (logical_settings->second.report_rotate_and_crop) {
result->result_metadata->Set(ANDROID_SCALER_ROTATE_AND_CROP,
&logical_settings->second.rotate_and_crop, 1);
}
if (!result->physical_camera_results.empty()) {
for (auto& it : result->physical_camera_results) {
auto physical_settings = settings->find(it.first);
if (physical_settings == settings->end()) {
ALOGE("%s: Physical settings for camera id: %u are absent!",
__FUNCTION__, it.first);
continue;
}
uint8_t raw_binned_factor_used = false;
if (sensor_binning_factor_info_.find(it.first) !=
sensor_binning_factor_info_.end()) {
auto& info = sensor_binning_factor_info_[it.first];
// physical stream was included in the request
if (!reprocess_request && info.quad_bayer_sensor &&
info.max_res_request && info.has_raw_stream &&
!info.has_non_raw_stream) {
raw_binned_factor_used = true;
}
it.second->Set(ANDROID_SENSOR_RAW_BINNING_FACTOR_USED,
&raw_binned_factor_used, 1);
}
// Sensor timestamp for all physical devices must be the same.
it.second->Set(ANDROID_SENSOR_TIMESTAMP, &next_capture_time_, 1);
if (physical_settings->second.report_neutral_color_point) {
it.second->Set(ANDROID_SENSOR_NEUTRAL_COLOR_POINT, kNeutralColorPoint,
ARRAY_SIZE(kNeutralColorPoint));
}
if (physical_settings->second.report_green_split) {
it.second->Set(ANDROID_SENSOR_GREEN_SPLIT, &kGreenSplit, 1);
}
if (physical_settings->second.report_noise_profile) {
auto device_chars = chars_->find(it.first);
if (device_chars == chars_->end()) {
ALOGE("%s: Sensor characteristics absent for device: %d", __func__,
it.first);
}
CalculateAndAppendNoiseProfile(
physical_settings->second.gain,
GetBaseGainFactor(device_chars->second.max_raw_value),
it.second.get());
}
}
}
callback.process_pipeline_result(std::move(result));
}
}
void EmulatedSensor::CalculateAndAppendNoiseProfile(
float gain /*in ISO*/, float base_gain_factor,
HalCameraMetadata* result /*out*/) {
if (result != nullptr) {
float total_gain = gain / 100.0 * base_gain_factor;
float noise_var_gain = total_gain * total_gain;
float read_noise_var =
kReadNoiseVarBeforeGain * noise_var_gain + kReadNoiseVarAfterGain;
// Noise profile is the same across all 4 CFA channels
double noise_profile[2 * 4] = {
noise_var_gain, read_noise_var, noise_var_gain, read_noise_var,
noise_var_gain, read_noise_var, noise_var_gain, read_noise_var};
result->Set(ANDROID_SENSOR_NOISE_PROFILE, noise_profile,
ARRAY_SIZE(noise_profile));
}
}
EmulatedScene::ColorChannels EmulatedSensor::GetQuadBayerColor(uint32_t x,
uint32_t y) {
// Row within larger set of quad bayer filter
uint32_t row_mod = y % 4;
// Column within larger set of quad bayer filter
uint32_t col_mod = x % 4;
// Row is within the left quadrants of a quad bayer sensor
if (row_mod < 2) {
if (col_mod < 2) {
return EmulatedScene::ColorChannels::R;
}
return EmulatedScene::ColorChannels::Gr;
} else {
if (col_mod < 2) {
return EmulatedScene::ColorChannels::Gb;
}
return EmulatedScene::ColorChannels::B;
}
}
void EmulatedSensor::RemosaicQuadBayerBlock(uint16_t* img_in, uint16_t* img_out,
int xstart, int ystart,
int row_stride_in_bytes) {
uint32_t quad_block_copy_idx_map[16] = {0, 2, 1, 3, 8, 10, 6, 11,
4, 9, 5, 7, 12, 14, 13, 15};
uint16_t quad_block_copy[16];
uint32_t i = 0;
for (uint32_t row = 0; row < 4; row++) {
uint16_t* quad_bayer_row =
img_in + (ystart + row) * (row_stride_in_bytes / 2) + xstart;
for (uint32_t j = 0; j < 4; j++, i++) {
quad_block_copy[i] = quad_bayer_row[j];
}
}
for (uint32_t row = 0; row < 4; row++) {
uint16_t* regular_bayer_row =
img_out + (ystart + row) * (row_stride_in_bytes / 2) + xstart;
for (uint32_t j = 0; j < 4; j++, i++) {
uint32_t idx = quad_block_copy_idx_map[row + 4 * j];
regular_bayer_row[j] = quad_block_copy[idx];
}
}
}
status_t EmulatedSensor::RemosaicRAW16Image(uint16_t* img_in, uint16_t* img_out,
size_t row_stride_in_bytes,
const SensorCharacteristics& chars) {
if (chars.full_res_width % 2 != 0 || chars.full_res_height % 2 != 0) {
ALOGE(
"%s RAW16 Image with quad CFA, height %zu and width %zu, not multiples "
"of 4",
__FUNCTION__, chars.full_res_height, chars.full_res_width);
return BAD_VALUE;
}
for (uint32_t i = 0; i < chars.full_res_width; i += 4) {
for (uint32_t j = 0; j < chars.full_res_height; j += 4) {
RemosaicQuadBayerBlock(img_in, img_out, i, j, row_stride_in_bytes);
}
}
return OK;
}
void EmulatedSensor::CaptureRawBinned(uint8_t* img, size_t row_stride_in_bytes,
uint32_t gain,
const SensorCharacteristics& chars) {
ATRACE_CALL();
// inc = how many pixels to skip while reading every next pixel
float total_gain = gain / 100.0 * GetBaseGainFactor(chars.max_raw_value);
float noise_var_gain = total_gain * total_gain;
float read_noise_var =
kReadNoiseVarBeforeGain * noise_var_gain + kReadNoiseVarAfterGain;
int bayer_select[4] = {EmulatedScene::R, EmulatedScene::Gr, EmulatedScene::Gb,
EmulatedScene::B};
scene_->SetReadoutPixel(0, 0);
for (unsigned int out_y = 0; out_y < chars.height; out_y++) {
// Stride still stays width since the buffer is binned size.
int* bayer_row = bayer_select + (out_y & 0x1) * 2;
uint16_t* px = (uint16_t*)img + out_y * (row_stride_in_bytes / 2);
for (unsigned int out_x = 0; out_x < chars.width; out_x++) {
int color_idx = bayer_row[out_x & 0x1];
uint16_t raw_count = 0;
// Color filter will be the same for each quad.
uint32_t electron_count = 0;
int x, y;
float norm_x = (float)out_x / chars.width;
float norm_y = (float)out_y / chars.height;
x = static_cast<int>(chars.full_res_width * norm_x);
y = static_cast<int>(chars.full_res_height * norm_y);
x = std::min(std::max(x, 0), (int)chars.full_res_width - 1);
y = std::min(std::max(y, 0), (int)chars.full_res_height - 1);
scene_->SetReadoutPixel(x, y);
const uint32_t* pixel = scene_->GetPixelElectrons();
electron_count = pixel[color_idx];
// TODO: Better pixel saturation curve?
electron_count = (electron_count < kSaturationElectrons)
? electron_count
: kSaturationElectrons;
// TODO: Better A/D saturation curve?
raw_count = electron_count * total_gain;
raw_count =
(raw_count < chars.max_raw_value) ? raw_count : chars.max_raw_value;
// Calculate noise value
// TODO: Use more-correct Gaussian instead of uniform noise
float photon_noise_var = electron_count * noise_var_gain;
float noise_stddev = sqrtf_approx(read_noise_var + photon_noise_var);
// Scaled to roughly match gaussian/uniform noise stddev
float noise_sample = rand_r(&rand_seed_) * (2.5 / (1.0 + RAND_MAX)) - 1.25;
raw_count += chars.black_level_pattern[color_idx];
raw_count += noise_stddev * noise_sample;
*px++ = raw_count;
}
}
ALOGVV("Binned RAW sensor image captured");
}
void EmulatedSensor::CaptureRawFullRes(uint8_t* img, size_t row_stride_in_bytes,
uint32_t gain,
const SensorCharacteristics& chars) {
ATRACE_CALL();
float total_gain = gain / 100.0 * GetBaseGainFactor(chars.max_raw_value);
float noise_var_gain = total_gain * total_gain;
float read_noise_var =
kReadNoiseVarBeforeGain * noise_var_gain + kReadNoiseVarAfterGain;
scene_->SetReadoutPixel(0, 0);
// RGGB
int bayer_select[4] = {EmulatedScene::R, EmulatedScene::Gr, EmulatedScene::Gb,
EmulatedScene::B};
for (unsigned int y = 0; y < chars.full_res_height; y++) {
int* bayer_row = bayer_select + (y & 0x1) * 2;
uint16_t* px = (uint16_t*)img + y * (row_stride_in_bytes / 2);
for (unsigned int x = 0; x < chars.full_res_width; x++) {
int color_idx = chars.quad_bayer_sensor ? GetQuadBayerColor(x, y)
: bayer_row[x & 0x1];
uint32_t electron_count;
electron_count = scene_->GetPixelElectrons()[color_idx];
// TODO: Better pixel saturation curve?
electron_count = (electron_count < kSaturationElectrons)
? electron_count
: kSaturationElectrons;
// TODO: Better A/D saturation curve?
uint16_t raw_count = electron_count * total_gain;
raw_count =
(raw_count < chars.max_raw_value) ? raw_count : chars.max_raw_value;
// Calculate noise value
// TODO: Use more-correct Gaussian instead of uniform noise
float photon_noise_var = electron_count * noise_var_gain;
float noise_stddev = sqrtf_approx(read_noise_var + photon_noise_var);
// Scaled to roughly match gaussian/uniform noise stddev
float noise_sample = rand_r(&rand_seed_) * (2.5 / (1.0 + RAND_MAX)) - 1.25;
raw_count += chars.black_level_pattern[color_idx];
raw_count += noise_stddev * noise_sample;
*px++ = raw_count;
}
// TODO: Handle this better
// simulatedTime += mRowReadoutTime;
}
ALOGVV("Raw sensor image captured");
}
void EmulatedSensor::CaptureRGB(uint8_t* img, uint32_t width, uint32_t height,
uint32_t stride, RGBLayout layout, uint32_t gain,
const SensorCharacteristics& chars) {
ATRACE_CALL();
float total_gain = gain / 100.0 * GetBaseGainFactor(chars.max_raw_value);
// In fixed-point math, calculate total scaling from electrons to 8bpp
int scale64x = 64 * total_gain * 255 / chars.max_raw_value;
uint32_t inc_h = ceil((float)chars.full_res_width / width);
uint32_t inc_v = ceil((float)chars.full_res_height / height);
for (unsigned int y = 0, outy = 0; y < chars.full_res_height;
y += inc_v, outy++) {
scene_->SetReadoutPixel(0, y);
uint8_t* px = img + outy * stride;
for (unsigned int x = 0; x < chars.full_res_width; x += inc_h) {
uint32_t r_count, g_count, b_count;
// TODO: Perfect demosaicing is a cheat
const uint32_t* pixel = scene_->GetPixelElectrons();
r_count = pixel[EmulatedScene::R] * scale64x;
g_count = pixel[EmulatedScene::Gr] * scale64x;
b_count = pixel[EmulatedScene::B] * scale64x;
uint8_t r = r_count < 255 * 64 ? r_count / 64 : 255;
uint8_t g = g_count < 255 * 64 ? g_count / 64 : 255;
uint8_t b = b_count < 255 * 64 ? b_count / 64 : 255;
switch (layout) {
case RGB:
*px++ = r;
*px++ = g;
*px++ = b;
break;
case RGBA:
*px++ = r;
*px++ = g;
*px++ = b;
*px++ = 255;
break;
case ARGB:
*px++ = 255;
*px++ = r;
*px++ = g;
*px++ = b;
break;
default:
ALOGE("%s: RGB layout: %d not supported", __FUNCTION__, layout);
return;
}
for (unsigned int j = 1; j < inc_h; j++) scene_->GetPixelElectrons();
}
}
ALOGVV("RGB sensor image captured");
}
void EmulatedSensor::CaptureYUV420(YCbCrPlanes yuv_layout, uint32_t width,
uint32_t height, uint32_t gain,
float zoom_ratio, bool rotate,
const SensorCharacteristics& chars) {
ATRACE_CALL();
float total_gain = gain / 100.0 * GetBaseGainFactor(chars.max_raw_value);
// Using fixed-point math with 6 bits of fractional precision.
// In fixed-point math, calculate total scaling from electrons to 8bpp
const int scale64x =
kFixedBitPrecision * total_gain * 255 / chars.max_raw_value;
// Fixed-point coefficients for RGB-YUV transform
// Based on JFIF RGB->YUV transform.
// Cb/Cr offset scaled by 64x twice since they're applied post-multiply
const int rgb_to_y[] = {19, 37, 7};
const int rgb_to_cb[] = {-10, -21, 32, 524288};
const int rgb_to_cr[] = {32, -26, -5, 524288};
// Scale back to 8bpp non-fixed-point
const int scale_out = 64;
const int scale_out_sq = scale_out * scale_out; // after multiplies
// inc = how many pixels to skip while reading every next pixel
const float aspect_ratio = static_cast<float>(width) / height;
// precalculate normalized coordinates and dimensions
const float norm_left_top = 0.5f - 0.5f / zoom_ratio;
const float norm_rot_top = norm_left_top;
const float norm_width = 1 / zoom_ratio;
const float norm_rot_width = norm_width / aspect_ratio;
const float norm_rot_height = norm_width;
const float norm_rot_left =
norm_left_top + (norm_width + norm_rot_width) * 0.5f;
for (unsigned int out_y = 0; out_y < height; out_y++) {
uint8_t* px_y = yuv_layout.img_y + out_y * yuv_layout.y_stride;
uint8_t* px_cb = yuv_layout.img_cb + (out_y / 2) * yuv_layout.cbcr_stride;
uint8_t* px_cr = yuv_layout.img_cr + (out_y / 2) * yuv_layout.cbcr_stride;
for (unsigned int out_x = 0; out_x < width; out_x++) {
int x, y;
float norm_x = out_x / (width * zoom_ratio);
float norm_y = out_y / (height * zoom_ratio);
if (rotate) {
x = static_cast<int>(chars.full_res_width *
(norm_rot_left - norm_y * norm_rot_width));
y = static_cast<int>(chars.full_res_height *
(norm_rot_top + norm_x * norm_rot_height));
} else {
x = static_cast<int>(chars.full_res_width * (norm_left_top + norm_x));
y = static_cast<int>(chars.full_res_height * (norm_left_top + norm_y));
}
x = std::min(std::max(x, 0), (int)chars.full_res_width - 1);
y = std::min(std::max(y, 0), (int)chars.full_res_height - 1);
scene_->SetReadoutPixel(x, y);
int32_t r_count, g_count, b_count;
// TODO: Perfect demosaicing is a cheat
const uint32_t* pixel = rotate ? scene_->GetPixelElectronsColumn()
: scene_->GetPixelElectrons();
r_count = pixel[EmulatedScene::R] * scale64x;
r_count = r_count < kSaturationPoint ? r_count : kSaturationPoint;
g_count = pixel[EmulatedScene::Gr] * scale64x;
g_count = g_count < kSaturationPoint ? g_count : kSaturationPoint;
b_count = pixel[EmulatedScene::B] * scale64x;
b_count = b_count < kSaturationPoint ? b_count : kSaturationPoint;
// Gamma correction
r_count = gamma_table_[r_count];
g_count = gamma_table_[g_count];
b_count = gamma_table_[b_count];
uint8_t y8 = (rgb_to_y[0] * r_count + rgb_to_y[1] * g_count +
rgb_to_y[2] * b_count) /
scale_out_sq;
if (yuv_layout.bytesPerPixel == 1) {
*px_y = y8;
} else if (yuv_layout.bytesPerPixel == 2) {
*(reinterpret_cast<uint16_t*>(px_y)) = htole16(y8 << 8);
} else {
ALOGE("%s: Unsupported bytes per pixel value: %zu", __func__,
yuv_layout.bytesPerPixel);
return;
}
px_y += yuv_layout.bytesPerPixel;
if (out_y % 2 == 0 && out_x % 2 == 0) {
uint8_t cb8 = (rgb_to_cb[0] * r_count + rgb_to_cb[1] * g_count +
rgb_to_cb[2] * b_count + rgb_to_cb[3]) /
scale_out_sq;
uint8_t cr8 = (rgb_to_cr[0] * r_count + rgb_to_cr[1] * g_count +
rgb_to_cr[2] * b_count + rgb_to_cr[3]) /
scale_out_sq;
if (yuv_layout.bytesPerPixel == 1) {
*px_cb = cb8;
*px_cr = cr8;
} else if (yuv_layout.bytesPerPixel == 2) {
*(reinterpret_cast<uint16_t*>(px_cb)) = htole16(cb8 << 8);
*(reinterpret_cast<uint16_t*>(px_cr)) = htole16(cr8 << 8);
} else {
ALOGE("%s: Unsupported bytes per pixel value: %zu", __func__,
yuv_layout.bytesPerPixel);
return;
}
px_cr += yuv_layout.cbcr_step;
px_cb += yuv_layout.cbcr_step;
}
}
}
ALOGVV("YUV420 sensor image captured");
}
void EmulatedSensor::CaptureDepth(uint8_t* img, uint32_t gain, uint32_t width,
uint32_t height, uint32_t stride,
const SensorCharacteristics& chars) {
ATRACE_CALL();
float total_gain = gain / 100.0 * GetBaseGainFactor(chars.max_raw_value);
// In fixed-point math, calculate scaling factor to 13bpp millimeters
int scale64x = 64 * total_gain * 8191 / chars.max_raw_value;
uint32_t inc_h = ceil((float)chars.full_res_width / width);
uint32_t inc_v = ceil((float)chars.full_res_height / height);
for (unsigned int y = 0, out_y = 0; y < chars.full_res_height;
y += inc_v, out_y++) {
scene_->SetReadoutPixel(0, y);
uint16_t* px = (uint16_t*)(img + (out_y * stride));
for (unsigned int x = 0; x < chars.full_res_width; x += inc_h) {
uint32_t depth_count;
// TODO: Make up real depth scene instead of using green channel
// as depth
const uint32_t* pixel = scene_->GetPixelElectrons();
depth_count = pixel[EmulatedScene::Gr] * scale64x;
*px++ = depth_count < 8191 * 64 ? depth_count / 64 : 0;
for (unsigned int j = 1; j < inc_h; j++) scene_->GetPixelElectrons();
}
// TODO: Handle this better
// simulatedTime += mRowReadoutTime;
}
ALOGVV("Depth sensor image captured");
}
status_t EmulatedSensor::ProcessYUV420(const YUV420Frame& input,
const YUV420Frame& output, uint32_t gain,
ProcessType process_type, float zoom_ratio,
bool rotate_and_crop,
const SensorCharacteristics& chars) {
ATRACE_CALL();
size_t input_width, input_height;
YCbCrPlanes input_planes, output_planes;
std::vector<uint8_t> temp_yuv, temp_output_uv, temp_input_uv;
// Overwrite HIGH_QUALITY to REGULAR for Emulator if property
// ro.boot.qemu.camera_hq_edge_processing is false;
if (process_type == HIGH_QUALITY &&
!property_get_bool("ro.boot.qemu.camera_hq_edge_processing", true)) {
process_type = REGULAR;
}
switch (process_type) {
case HIGH_QUALITY:
CaptureYUV420(output.planes, output.width, output.height, gain, zoom_ratio,
rotate_and_crop, chars);
return OK;
case REPROCESS:
input_width = input.width;
input_height = input.height;
input_planes = input.planes;
// libyuv only supports planar YUV420 during scaling.
// Split the input U/V plane in separate planes if needed.
if (input_planes.cbcr_step == 2) {
temp_input_uv.resize(input_width * input_height / 2);
auto temp_uv_buffer = temp_input_uv.data();
input_planes.img_cb = temp_uv_buffer;
input_planes.img_cr = temp_uv_buffer + (input_width * input_height) / 4;
input_planes.cbcr_stride = input_width / 2;
if (input.planes.img_cb < input.planes.img_cr) {
libyuv::SplitUVPlane(input.planes.img_cb, input.planes.cbcr_stride,
input_planes.img_cb, input_planes.cbcr_stride,
input_planes.img_cr, input_planes.cbcr_stride,
input_width / 2, input_height / 2);
} else {
libyuv::SplitUVPlane(input.planes.img_cr, input.planes.cbcr_stride,
input_planes.img_cr, input_planes.cbcr_stride,
input_planes.img_cb, input_planes.cbcr_stride,
input_width / 2, input_height / 2);
}
}
break;
case REGULAR:
default:
// Generate the smallest possible frame with the expected AR and
// then scale using libyuv.
float aspect_ratio = static_cast<float>(output.width) / output.height;
zoom_ratio = std::max(1.f, zoom_ratio);
input_width = EmulatedScene::kSceneWidth * aspect_ratio;
input_height = EmulatedScene::kSceneHeight;
temp_yuv.reserve((input_width * input_height * 3) / 2);
auto temp_yuv_buffer = temp_yuv.data();
input_planes = {
.img_y = temp_yuv_buffer,
.img_cb = temp_yuv_buffer + input_width * input_height,
.img_cr = temp_yuv_buffer + (input_width * input_height * 5) / 4,
.y_stride = static_cast<uint32_t>(input_width),
.cbcr_stride = static_cast<uint32_t>(input_width) / 2,
.cbcr_step = 1};
CaptureYUV420(input_planes, input_width, input_height, gain, zoom_ratio,
rotate_and_crop, chars);
}
output_planes = output.planes;
// libyuv only supports planar YUV420 during scaling.
// Treat the output UV space as planar first and then
// interleave in the second step.
if (output_planes.cbcr_step == 2) {
temp_output_uv.resize(output.width * output.height / 2);
auto temp_uv_buffer = temp_output_uv.data();
output_planes.img_cb = temp_uv_buffer;
output_planes.img_cr = temp_uv_buffer + output.width * output.height / 4;
output_planes.cbcr_stride = output.width / 2;
}
auto ret = I420Scale(
input_planes.img_y, input_planes.y_stride, input_planes.img_cb,
input_planes.cbcr_stride, input_planes.img_cr, input_planes.cbcr_stride,
input_width, input_height, output_planes.img_y, output_planes.y_stride,
output_planes.img_cb, output_planes.cbcr_stride, output_planes.img_cr,
output_planes.cbcr_stride, output.width, output.height,
libyuv::kFilterNone);
if (ret != 0) {
ALOGE("%s: Failed during YUV scaling: %d", __FUNCTION__, ret);
return ret;
}
// Merge U/V Planes for the interleaved case
if (output_planes.cbcr_step == 2) {
if (output.planes.img_cb < output.planes.img_cr) {
libyuv::MergeUVPlane(output_planes.img_cb, output_planes.cbcr_stride,
output_planes.img_cr, output_planes.cbcr_stride,
output.planes.img_cb, output.planes.cbcr_stride,
output.width / 2, output.height / 2);
} else {
libyuv::MergeUVPlane(output_planes.img_cr, output_planes.cbcr_stride,
output_planes.img_cb, output_planes.cbcr_stride,
output.planes.img_cr, output.planes.cbcr_stride,
output.width / 2, output.height / 2);
}
}
return ret;
}
int32_t EmulatedSensor::ApplysRGBGamma(int32_t value, int32_t saturation) {
float n_value = (static_cast<float>(value) / saturation);
n_value = (n_value <= 0.0031308f)
? n_value * 12.92f
: 1.055f * pow(n_value, 0.4166667f) - 0.055f;
return n_value * saturation;
}
} // namespace android
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