MYNT-EYE-S-SDK/src/mynteye/api/synthetic.cc

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// Copyright 2018 Slightech Co., Ltd. All rights reserved.
//
// 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.
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#include "mynteye/api/synthetic.h"
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#include <algorithm>
#include <functional>
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#include <stdexcept>
#include <opencv2/imgproc/imgproc.hpp>
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#include "mynteye/logger.h"
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#include "mynteye/api/object.h"
#include "mynteye/api/plugin.h"
#include "mynteye/api/processor.h"
#include "mynteye/api/processor/disparity_normalized_processor.h"
#include "mynteye/api/processor/disparity_processor.h"
#include "mynteye/api/processor/rectify_processor_ocv.h"
#include "mynteye/api/processor/depth_processor_ocv.h"
#include "mynteye/api/processor/points_processor_ocv.h"
#include "mynteye/api/config.h"
#ifdef WITH_CAM_MODELS
#include "mynteye/api/processor/depth_processor.h"
#include "mynteye/api/processor/points_processor.h"
#include "mynteye/api/processor/rectify_processor.h"
#endif
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#include "mynteye/device/device.h"
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#define RECTIFY_PROC_PERIOD 0
#define DISPARITY_PROC_PERIOD 0
#define DISPARITY_NORM_PROC_PERIOD 0
#define POINTS_PROC_PERIOD 0
#define DEPTH_PROC_PERIOD 0
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MYNTEYE_BEGIN_NAMESPACE
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namespace {
cv::Mat frame2mat(const std::shared_ptr<device::Frame> &frame) {
if (frame->format() == Format::YUYV) {
cv::Mat img(frame->height(), frame->width(), CV_8UC2, frame->data());
cv::cvtColor(img, img, cv::COLOR_YUV2BGR_YUY2);
return img;
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} else if (frame->format() == Format::BGR888) {
cv::Mat img(frame->height(), frame->width(), CV_8UC3, frame->data());
return img;
} else { // Format::GRAY
return cv::Mat(frame->height(), frame->width(), CV_8UC1, frame->data());
}
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}
api::StreamData data2api(const device::StreamData &data) {
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return {data.img, frame2mat(data.frame), data.frame, data.frame_id};
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}
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void process_childs(
const std::shared_ptr<Processor> &proc, const std::string &name,
const Object &obj) {
auto &&processor = find_processor<Processor>(proc, name);
for (auto child : processor->GetChilds()) {
child->Process(obj);
}
}
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} // namespace
void Synthetic::InitCalibInfo() {
if (calib_model_ == CalibrationModel::PINHOLE) {
LOG(INFO) << "camera calib model: pinhole";
intr_left_ = api_->GetIntrinsicsBase(Stream::LEFT);
intr_right_ = api_->GetIntrinsicsBase(Stream::RIGHT);
extr_ = std::make_shared<Extrinsics>(
api_->GetExtrinsics(Stream::LEFT, Stream::RIGHT));
#ifdef WITH_CAM_MODELS
} else if (calib_model_ == CalibrationModel::KANNALA_BRANDT) {
LOG(INFO) << "camera calib model: kannala_brandt";
intr_left_ = api_->GetIntrinsicsBase(Stream::LEFT);
intr_right_ = api_->GetIntrinsicsBase(Stream::RIGHT);
extr_ = std::make_shared<Extrinsics>(
api_->GetExtrinsics(Stream::LEFT, Stream::RIGHT));
#endif
} else {
calib_default_tag_ = true;
calib_model_ = CalibrationModel::PINHOLE;
LOG(INFO) << "camera calib model: unknow ,use default pinhole data";
intr_left_ = getDefaultIntrinsics();
intr_right_ = getDefaultIntrinsics();
extr_ = getDefaultExtrinsics();
}
}
Synthetic::Synthetic(API *api, CalibrationModel calib_model)
: api_(api),
plugin_(nullptr),
calib_model_(calib_model),
calib_default_tag_(false) {
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VLOG(2) << __func__;
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CHECK_NOTNULL(api_);
InitCalibInfo();
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InitStreamSupports();
InitProcessors();
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}
Synthetic::~Synthetic() {
VLOG(2) << __func__;
if (processor_) {
processor_->Deactivate(true);
processor_ = nullptr;
}
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}
void Synthetic::NotifyImageParamsChanged() {
if (!calib_default_tag_) {
intr_left_ = api_->GetIntrinsicsBase(Stream::LEFT);
intr_right_ = api_->GetIntrinsicsBase(Stream::RIGHT);
extr_ = std::make_shared<Extrinsics>(
api_->GetExtrinsics(Stream::LEFT, Stream::RIGHT));
}
if (calib_model_ == CalibrationModel::PINHOLE) {
auto &&processor = find_processor<RectifyProcessorOCV>(processor_);
if (processor) processor->ReloadImageParams(intr_left_, intr_right_, extr_);
#ifdef WITH_CAM_MODELS
} else if (calib_model_ == CalibrationModel::KANNALA_BRANDT) {
auto &&processor = find_processor<RectifyProcessor>(processor_);
if (processor) processor->ReloadImageParams(intr_left_, intr_right_, extr_);
#endif
} else {
LOG(ERROR) << "Unknow calib model type in device: "
<< calib_model_ << ", use default pinhole model";
auto &&processor = find_processor<RectifyProcessorOCV>(processor_);
if (processor) processor->ReloadImageParams(intr_left_, intr_right_, extr_);
}
}
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bool Synthetic::Supports(const Stream &stream) const {
return stream_supports_mode_.find(stream) != stream_supports_mode_.end();
}
Synthetic::mode_t Synthetic::SupportsMode(const Stream &stream) const {
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try {
return stream_supports_mode_.at(stream);
} catch (const std::out_of_range &e) {
return MODE_LAST;
}
}
void Synthetic::EnableStreamData(const Stream &stream) {
EnableStreamData(stream, 0);
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}
void Synthetic::DisableStreamData(const Stream &stream) {
DisableStreamData(stream, 0);
}
bool Synthetic::IsStreamDataEnabled(const Stream &stream) const {
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return stream_enabled_mode_.find(stream) != stream_enabled_mode_.end();
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}
void Synthetic::SetStreamCallback(
const Stream &stream, stream_callback_t callback) {
if (callback == nullptr) {
stream_callbacks_.erase(stream);
} else {
stream_callbacks_[stream] = callback;
}
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}
bool Synthetic::HasStreamCallback(const Stream &stream) const {
return stream_callbacks_.find(stream) != stream_callbacks_.end();
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}
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void Synthetic::StartVideoStreaming() {
auto &&device = api_->device();
for (auto &&it = stream_supports_mode_.begin();
it != stream_supports_mode_.end(); it++) {
if (it->second == MODE_NATIVE) {
auto &&stream = it->first;
device->SetStreamCallback(
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stream,
[this, stream](const device::StreamData &data) {
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auto &&stream_data = data2api(data);
ProcessNativeStream(stream, stream_data);
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// Need mutex if set callback after start
if (HasStreamCallback(stream)) {
stream_callbacks_.at(stream)(stream_data);
}
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},
true);
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}
}
device->Start(Source::VIDEO_STREAMING);
}
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void Synthetic::StopVideoStreaming() {
auto &&device = api_->device();
for (auto &&it = stream_supports_mode_.begin();
it != stream_supports_mode_.end(); it++) {
if (it->second == MODE_NATIVE) {
device->SetStreamCallback(it->first, nullptr);
}
}
device->Stop(Source::VIDEO_STREAMING);
}
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void Synthetic::WaitForStreams() {
api_->device()->WaitForStreams();
}
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api::StreamData Synthetic::GetStreamData(const Stream &stream) {
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auto &&mode = GetStreamEnabledMode(stream);
if (mode == MODE_NATIVE) {
auto &&device = api_->device();
return data2api(device->GetStreamData(stream));
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} else if (mode == MODE_SYNTHETIC) {
if (stream == Stream::LEFT_RECTIFIED || stream == Stream::RIGHT_RECTIFIED) {
static std::shared_ptr<ObjMat2> output = nullptr;
std::shared_ptr<Processor> processor = nullptr;
if (calib_model_ == CalibrationModel::PINHOLE) {
processor = find_processor<RectifyProcessorOCV>(processor_);
#ifdef WITH_CAM_MODELS
} else if (calib_model_ == CalibrationModel::KANNALA_BRANDT) {
processor = find_processor<RectifyProcessor>(processor_);
#endif
} else {
LOG(ERROR) << "Unknow calib model type in device: "
<< calib_model_ << ", use default pinhole model";
processor = find_processor<RectifyProcessorOCV>(processor_);
}
auto &&out = processor->GetOutput();
if (out != nullptr) {
// Obtain the output, out will be nullptr if get again immediately.
output = Object::Cast<ObjMat2>(out);
}
if (output != nullptr) {
if (stream == Stream::LEFT_RECTIFIED) {
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return {output->first_data, output->first, nullptr, output->first_id};
} else {
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return {output->second_data, output->second, nullptr,
output->second_id};
}
}
VLOG(2) << "Rectify not ready now";
return {};
}
switch (stream) {
case Stream::DISPARITY: {
auto &&processor = find_processor<DisparityProcessor>(processor_);
auto &&out = processor->GetOutput();
if (out != nullptr) {
auto &&output = Object::Cast<ObjMat>(out);
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return {output->data, output->value, nullptr, output->id};
}
VLOG(2) << "Disparity not ready now";
} break;
case Stream::DISPARITY_NORMALIZED: {
auto &&processor =
find_processor<DisparityNormalizedProcessor>(processor_);
auto &&out = processor->GetOutput();
if (out != nullptr) {
auto &&output = Object::Cast<ObjMat>(out);
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return {output->data, output->value, nullptr, output->id};
}
VLOG(2) << "Disparity normalized not ready now";
} break;
case Stream::POINTS: {
if (calib_model_ == CalibrationModel::PINHOLE) {
auto &&processor = find_processor<PointsProcessorOCV>(processor_);
auto &&out = processor->GetOutput();
if (out != nullptr) {
auto &&output = Object::Cast<ObjMat>(out);
return {output->data, output->value, nullptr, output->id};
}
VLOG(2) << "Points not ready now";
#ifdef WITH_CAM_MODELS
} else if (calib_model_ == CalibrationModel::KANNALA_BRANDT) {
auto &&processor = find_processor<PointsProcessor>(processor_);
auto &&out = processor->GetOutput();
if (out != nullptr) {
auto &&output = Object::Cast<ObjMat>(out);
return {output->data, output->value, nullptr, output->id};
}
VLOG(2) << "Points not ready now";
#endif
} else {
// UNKNOW
LOG(ERROR) << "Unknow calib model type in device: "
<< calib_model_;
}
} break;
case Stream::DEPTH: {
if (calib_model_ == CalibrationModel::PINHOLE) {
auto &&processor = find_processor<DepthProcessorOCV>(processor_);
auto &&out = processor->GetOutput();
if (out != nullptr) {
auto &&output = Object::Cast<ObjMat>(out);
return {output->data, output->value, nullptr, output->id};
}
VLOG(2) << "Depth not ready now";
#ifdef WITH_CAM_MODELS
} else if (calib_model_ == CalibrationModel::KANNALA_BRANDT) {
auto &&processor = find_processor<DepthProcessor>(processor_);
auto &&out = processor->GetOutput();
if (out != nullptr) {
auto &&output = Object::Cast<ObjMat>(out);
return {output->data, output->value, nullptr, output->id};
}
VLOG(2) << "Depth not ready now";
#endif
} else {
// UNKNOW
LOG(ERROR) << "Unknow calib model type in device: "
<< calib_model_;
}
} break;
default:
break;
}
return {}; // frame.empty() == true
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} else {
LOG(ERROR) << "Failed to get stream data of " << stream
<< ", unsupported or disabled";
return {}; // frame.empty() == true
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}
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}
std::vector<api::StreamData> Synthetic::GetStreamDatas(const Stream &stream) {
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auto &&mode = GetStreamEnabledMode(stream);
if (mode == MODE_NATIVE) {
auto &&device = api_->device();
std::vector<api::StreamData> datas;
for (auto &&data : device->GetStreamDatas(stream)) {
datas.push_back(data2api(data));
}
return datas;
} else if (mode == MODE_SYNTHETIC) {
return {GetStreamData(stream)};
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} else {
LOG(ERROR) << "Failed to get stream data of " << stream
<< ", unsupported or disabled";
}
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return {};
}
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void Synthetic::SetPlugin(std::shared_ptr<Plugin> plugin) {
plugin_ = plugin;
}
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bool Synthetic::HasPlugin() const {
return plugin_ != nullptr;
}
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void Synthetic::InitStreamSupports() {
auto &&device = api_->device();
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if (device->Supports(Stream::LEFT) && device->Supports(Stream::RIGHT)) {
stream_supports_mode_[Stream::LEFT] = MODE_NATIVE;
stream_supports_mode_[Stream::RIGHT] = MODE_NATIVE;
std::vector<Stream> stream_chain{
Stream::LEFT_RECTIFIED, Stream::RIGHT_RECTIFIED,
Stream::DISPARITY, Stream::DISPARITY_NORMALIZED,
Stream::POINTS, Stream::DEPTH};
for (auto &&stream : stream_chain) {
if (device->Supports(stream)) {
stream_supports_mode_[stream] = MODE_NATIVE;
} else {
stream_supports_mode_[stream] = MODE_SYNTHETIC;
}
}
}
// Enabled native streams by default
for (auto &&it = stream_supports_mode_.begin();
it != stream_supports_mode_.end(); it++) {
if (it->second == MODE_NATIVE) {
stream_enabled_mode_[it->first] = MODE_NATIVE;
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}
}
}
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Synthetic::mode_t Synthetic::GetStreamEnabledMode(const Stream &stream) const {
try {
return stream_enabled_mode_.at(stream);
} catch (const std::out_of_range &e) {
return MODE_LAST;
}
}
bool Synthetic::IsStreamEnabledNative(const Stream &stream) const {
return GetStreamEnabledMode(stream) == MODE_NATIVE;
}
bool Synthetic::IsStreamEnabledSynthetic(const Stream &stream) const {
return GetStreamEnabledMode(stream) == MODE_SYNTHETIC;
}
void Synthetic::EnableStreamData(const Stream &stream, std::uint32_t depth) {
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if (IsStreamDataEnabled(stream))
return;
// Activate processors of synthetic stream
switch (stream) {
case Stream::LEFT_RECTIFIED: {
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if (!IsStreamDataEnabled(Stream::LEFT))
break;
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stream_enabled_mode_[stream] = MODE_SYNTHETIC;
if (calib_model_ == CalibrationModel::PINHOLE) {
CHECK(ActivateProcessor<RectifyProcessorOCV>());
#ifdef WITH_CAM_MODELS
} else if (calib_model_ == CalibrationModel::KANNALA_BRANDT) {
CHECK(ActivateProcessor<RectifyProcessor>());
#endif
} else {
LOG(ERROR) << "Unknow calib model type in device: "
<< calib_model_ << ", use default pinhole model";
CHECK(ActivateProcessor<RectifyProcessorOCV>());
}
} return;
case Stream::RIGHT_RECTIFIED: {
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if (!IsStreamDataEnabled(Stream::RIGHT))
break;
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stream_enabled_mode_[stream] = MODE_SYNTHETIC;
if (calib_model_ == CalibrationModel::PINHOLE) {
CHECK(ActivateProcessor<RectifyProcessorOCV>());
#ifdef WITH_CAM_MODELS
} else if (calib_model_ == CalibrationModel::KANNALA_BRANDT) {
CHECK(ActivateProcessor<RectifyProcessor>());
#endif
} else {
LOG(ERROR) << "Unknow calib model type in device: "
<< calib_model_ << ", use default pinhole model";
CHECK(ActivateProcessor<RectifyProcessorOCV>());
}
} return;
case Stream::DISPARITY: {
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stream_enabled_mode_[stream] = MODE_SYNTHETIC;
EnableStreamData(Stream::LEFT_RECTIFIED, depth + 1);
EnableStreamData(Stream::RIGHT_RECTIFIED, depth + 1);
CHECK(ActivateProcessor<DisparityProcessor>());
} return;
case Stream::DISPARITY_NORMALIZED: {
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stream_enabled_mode_[stream] = MODE_SYNTHETIC;
EnableStreamData(Stream::DISPARITY, depth + 1);
CHECK(ActivateProcessor<DisparityNormalizedProcessor>());
} return;
case Stream::POINTS: {
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stream_enabled_mode_[stream] = MODE_SYNTHETIC;
if (calib_model_ == CalibrationModel::PINHOLE) {
EnableStreamData(Stream::DISPARITY, depth + 1);
CHECK(ActivateProcessor<PointsProcessorOCV>());
#ifdef WITH_CAM_MODELS
} else if (calib_model_ == CalibrationModel::KANNALA_BRANDT) {
EnableStreamData(Stream::DEPTH, depth + 1);
CHECK(ActivateProcessor<PointsProcessor>());
#endif
} else {
LOG(ERROR) << "Unknow calib model type in device: "
<< calib_model_;
}
} return;
case Stream::DEPTH: {
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stream_enabled_mode_[stream] = MODE_SYNTHETIC;
if (calib_model_ == CalibrationModel::PINHOLE) {
EnableStreamData(Stream::POINTS, depth + 1);
CHECK(ActivateProcessor<DepthProcessorOCV>());
#ifdef WITH_CAM_MODELS
} else if (calib_model_ == CalibrationModel::KANNALA_BRANDT) {
EnableStreamData(Stream::DISPARITY, depth + 1);
CHECK(ActivateProcessor<DepthProcessor>());
#endif
} else {
LOG(ERROR) << "Unknow calib model type in device: "
<< calib_model_;
}
} return;
default: break;
}
if (depth == 0) {
LOG(WARNING) << "Enable stream data of " << stream << " failed";
}
}
void Synthetic::DisableStreamData(const Stream &stream, std::uint32_t depth) {
if (!IsStreamDataEnabled(stream))
return;
// Deactivate processors of synthetic stream
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if (stream_enabled_mode_[stream] != MODE_NATIVE) {
stream_enabled_mode_.erase(stream);
switch (stream) {
case Stream::LEFT_RECTIFIED: {
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if (IsStreamEnabledSynthetic(Stream::RIGHT_RECTIFIED)) {
DisableStreamData(Stream::RIGHT_RECTIFIED, depth + 1);
}
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if (IsStreamEnabledSynthetic(Stream::DISPARITY)) {
DisableStreamData(Stream::DISPARITY, depth + 1);
}
if (calib_model_ == CalibrationModel::PINHOLE) {
DeactivateProcessor<RectifyProcessorOCV>();
#ifdef WITH_CAM_MODELS
} else if (calib_model_ == CalibrationModel::KANNALA_BRANDT) {
DeactivateProcessor<RectifyProcessor>();
#endif
} else {
LOG(ERROR) << "Unknow calib model type in device: "
<< calib_model_ << ", use default pinhole model";
DeactivateProcessor<RectifyProcessorOCV>();
}
} break;
case Stream::RIGHT_RECTIFIED: {
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if (IsStreamEnabledSynthetic(Stream::LEFT_RECTIFIED)) {
DisableStreamData(Stream::LEFT_RECTIFIED, depth + 1);
}
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if (IsStreamEnabledSynthetic(Stream::DISPARITY)) {
DisableStreamData(Stream::DISPARITY, depth + 1);
}
if (calib_model_ == CalibrationModel::PINHOLE) {
DeactivateProcessor<RectifyProcessorOCV>();
#ifdef WITH_CAM_MODELS
} else if (calib_model_ == CalibrationModel::KANNALA_BRANDT) {
DeactivateProcessor<RectifyProcessor>();
#endif
} else {
LOG(ERROR) << "Unknow calib model type in device: "
<< calib_model_ << ", use default pinhole model";
DeactivateProcessor<RectifyProcessorOCV>();
}
} break;
case Stream::DISPARITY: {
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if (calib_model_ == CalibrationModel::PINHOLE) {
if (IsStreamEnabledSynthetic(Stream::DISPARITY_NORMALIZED)) {
DisableStreamData(Stream::DISPARITY_NORMALIZED, depth + 1);
}
if (IsStreamEnabledSynthetic(Stream::POINTS)) {
DisableStreamData(Stream::POINTS, depth + 1);
}
DeactivateProcessor<DisparityProcessor>();
#ifdef WITH_CAM_MODELS
} else if (calib_model_ == CalibrationModel::KANNALA_BRANDT) {
if (IsStreamEnabledSynthetic(Stream::DISPARITY_NORMALIZED)) {
DisableStreamData(Stream::DISPARITY_NORMALIZED, depth + 1);
}
if (IsStreamEnabledSynthetic(Stream::DEPTH)) {
DisableStreamData(Stream::DEPTH, depth + 1);
}
DeactivateProcessor<DisparityProcessor>();
#endif
} else {
LOG(ERROR) << "Unknow calib model type in device: "
<< calib_model_;
}
} break;
case Stream::DISPARITY_NORMALIZED: {
DeactivateProcessor<DisparityNormalizedProcessor>();
} break;
case Stream::POINTS: {
if (calib_model_ == CalibrationModel::PINHOLE) {
if (IsStreamEnabledSynthetic(Stream::DEPTH)) {
DisableStreamData(Stream::DEPTH, depth + 1);
}
DeactivateProcessor<PointsProcessorOCV>();
#ifdef WITH_CAM_MODELS
} else if (calib_model_ == CalibrationModel::KANNALA_BRANDT) {
DeactivateProcessor<PointsProcessor>();
#endif
} else {
LOG(ERROR) << "Unknow calib model type in device: "
<< calib_model_;
}
} break;
case Stream::DEPTH: {
if (calib_model_ == CalibrationModel::PINHOLE) {
DeactivateProcessor<DepthProcessorOCV>();
#ifdef WITH_CAM_MODELS
} else if (calib_model_ == CalibrationModel::KANNALA_BRANDT) {
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if (IsStreamEnabledSynthetic(Stream::POINTS)) {
DisableStreamData(Stream::POINTS, depth + 1);
}
DeactivateProcessor<DepthProcessor>();
#endif
} else {
LOG(ERROR) << "Unknow calib model type in device: "
<< calib_model_;
}
} break;
default: return;
}
if (depth > 0) {
LOG(WARNING) << "Disable synthetic stream data of " << stream << " too";
}
} else if (depth == 0) {
LOG(WARNING) << "Disable native stream data of " << stream << " failed";
}
}
void Synthetic::InitProcessors() {
std::shared_ptr<Processor> rectify_processor = nullptr;
#ifdef WITH_CAM_MODELS
std::shared_ptr<RectifyProcessor> rectify_processor_imp = nullptr;
#endif
cv::Mat Q;
if (calib_model_ == CalibrationModel::PINHOLE) {
auto &&rectify_processor_ocv =
std::make_shared<RectifyProcessorOCV>(intr_left_, intr_right_, extr_,
RECTIFY_PROC_PERIOD);
rectify_processor = rectify_processor_ocv;
Q = rectify_processor_ocv->Q;
#ifdef WITH_CAM_MODELS
} else if (calib_model_ == CalibrationModel::KANNALA_BRANDT) {
rectify_processor_imp =
std::make_shared<RectifyProcessor>(intr_left_, intr_right_, extr_,
RECTIFY_PROC_PERIOD);
rectify_processor = rectify_processor_imp;
#endif
} else {
LOG(ERROR) << "Unknow calib model type in device: "
<< calib_model_ << ", use default pinhole model";
auto &&rectify_processor_ocv =
std::make_shared<RectifyProcessorOCV>(intr_left_, intr_right_, extr_,
RECTIFY_PROC_PERIOD);
rectify_processor = rectify_processor_ocv;
}
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auto &&disparity_processor =
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std::make_shared<DisparityProcessor>(DisparityProcessorType::SGBM,
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DISPARITY_PROC_PERIOD);
auto &&disparitynormalized_processor =
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std::make_shared<DisparityNormalizedProcessor>(
DISPARITY_NORM_PROC_PERIOD);
std::shared_ptr<Processor> points_processor = nullptr;
if (calib_model_ == CalibrationModel::PINHOLE) {
points_processor = std::make_shared<PointsProcessorOCV>(
Q, POINTS_PROC_PERIOD);
#ifdef WITH_CAM_MODELS
} else if (calib_model_ == CalibrationModel::KANNALA_BRANDT) {
points_processor = std::make_shared<PointsProcessor>(
rectify_processor_imp -> getCalibInfoPair(),
POINTS_PROC_PERIOD);
#endif
} else {
points_processor = std::make_shared<PointsProcessorOCV>(
Q, POINTS_PROC_PERIOD);
}
std::shared_ptr<Processor> depth_processor = nullptr;
if (calib_model_ == CalibrationModel::PINHOLE) {
depth_processor = std::make_shared<DepthProcessorOCV>(DEPTH_PROC_PERIOD);
#ifdef WITH_CAM_MODELS
} else if (calib_model_ == CalibrationModel::KANNALA_BRANDT) {
depth_processor = std::make_shared<DepthProcessor>(
rectify_processor_imp -> getCalibInfoPair(),
DEPTH_PROC_PERIOD);
#endif
} else {
depth_processor = std::make_shared<DepthProcessorOCV>(DEPTH_PROC_PERIOD);
}
using namespace std::placeholders; // NOLINT
rectify_processor->SetProcessCallback(
std::bind(&Synthetic::OnRectifyProcess, this, _1, _2, _3));
disparity_processor->SetProcessCallback(
std::bind(&Synthetic::OnDisparityProcess, this, _1, _2, _3));
disparitynormalized_processor->SetProcessCallback(
std::bind(&Synthetic::OnDisparityNormalizedProcess, this, _1, _2, _3));
points_processor->SetProcessCallback(
std::bind(&Synthetic::OnPointsProcess, this, _1, _2, _3));
depth_processor->SetProcessCallback(
std::bind(&Synthetic::OnDepthProcess, this, _1, _2, _3));
rectify_processor->SetPostProcessCallback(
std::bind(&Synthetic::OnRectifyPostProcess, this, _1));
disparity_processor->SetPostProcessCallback(
std::bind(&Synthetic::OnDisparityPostProcess, this, _1));
disparitynormalized_processor->SetPostProcessCallback(
std::bind(&Synthetic::OnDisparityNormalizedPostProcess, this, _1));
points_processor->SetPostProcessCallback(
std::bind(&Synthetic::OnPointsPostProcess, this, _1));
depth_processor->SetPostProcessCallback(
std::bind(&Synthetic::OnDepthPostProcess, this, _1));
if (calib_model_ == CalibrationModel::PINHOLE) {
// PINHOLE
rectify_processor->AddChild(disparity_processor);
disparity_processor->AddChild(disparitynormalized_processor);
disparity_processor->AddChild(points_processor);
points_processor->AddChild(depth_processor);
} else if (calib_model_ == CalibrationModel::KANNALA_BRANDT) {
// KANNALA_BRANDT
rectify_processor->AddChild(disparity_processor);
disparity_processor->AddChild(disparitynormalized_processor);
disparity_processor->AddChild(depth_processor);
depth_processor->AddChild(points_processor);
} else {
// UNKNOW
LOG(ERROR) << "Unknow calib model type in device: "
<< calib_model_;
}
processor_ = rectify_processor;
}
void Synthetic::ProcessNativeStream(
const Stream &stream, const api::StreamData &data) {
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if (stream == Stream::LEFT || stream == Stream::RIGHT) {
static api::StreamData left_data, right_data;
if (stream == Stream::LEFT) {
left_data = data;
} else if (stream == Stream::RIGHT) {
right_data = data;
}
if (left_data.img && right_data.img &&
left_data.img->frame_id == right_data.img->frame_id) {
std::shared_ptr<Processor> processor = nullptr;
if (calib_model_ == CalibrationModel::PINHOLE) {
processor = find_processor<RectifyProcessorOCV>(processor_);
#ifdef WITH_CAM_MODELS
} else if (calib_model_ == CalibrationModel::KANNALA_BRANDT) {
processor = find_processor<RectifyProcessor>(processor_);
#endif
} else {
LOG(ERROR) << "Unknow calib model type in device: "
<< calib_model_ << ", use default pinhole model";
processor = find_processor<RectifyProcessorOCV>(processor_);
}
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processor->Process(ObjMat2{
left_data.frame, left_data.frame_id, left_data.img,
right_data.frame, right_data.frame_id, right_data.img});
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}
return;
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}
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if (stream == Stream::LEFT_RECTIFIED || stream == Stream::RIGHT_RECTIFIED) {
static api::StreamData left_rect_data, right_rect_data;
if (stream == Stream::LEFT_RECTIFIED) {
left_rect_data = data;
} else if (stream == Stream::RIGHT_RECTIFIED) {
right_rect_data = data;
}
if (left_rect_data.img && right_rect_data.img &&
left_rect_data.img->frame_id == right_rect_data.img->frame_id) {
std::string name = RectifyProcessorOCV::NAME;
if (calib_model_ == CalibrationModel::PINHOLE) {
name = RectifyProcessorOCV::NAME;
#ifdef WITH_CAM_MODELS
} else if (calib_model_ == CalibrationModel::KANNALA_BRANDT) {
name = RectifyProcessor::NAME;
#endif
}
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process_childs(
processor_, name, ObjMat2{
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left_rect_data.frame, left_rect_data.frame_id, left_rect_data.img,
right_rect_data.frame, right_rect_data.frame_id,
right_rect_data.img});
}
return;
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}
switch (stream) {
case Stream::DISPARITY: {
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process_childs(processor_, DisparityProcessor::NAME,
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ObjMat{data.frame, data.frame_id, data.img});
} break;
case Stream::DISPARITY_NORMALIZED: {
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process_childs(processor_, DisparityNormalizedProcessor::NAME,
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ObjMat{data.frame, data.frame_id, data.img});
} break;
case Stream::POINTS: {
if (calib_model_ == CalibrationModel::PINHOLE) {
// PINHOLE
process_childs(processor_, PointsProcessorOCV::NAME,
ObjMat{data.frame, data.frame_id, data.img});
#ifdef WITH_CAM_MODELS
} else if (calib_model_ == CalibrationModel::KANNALA_BRANDT) {
// KANNALA_BRANDT
process_childs(processor_, PointsProcessor::NAME,
ObjMat{data.frame, data.frame_id, data.img});
#endif
} else {
// UNKNOW
LOG(ERROR) << "Unknow calib model type in device: "
<< calib_model_;
}
} break;
case Stream::DEPTH: {
if (calib_model_ == CalibrationModel::PINHOLE) {
// PINHOLE
process_childs(processor_, DepthProcessorOCV::NAME,
ObjMat{data.frame, data.frame_id, data.img});
#ifdef WITH_CAM_MODELS
} else if (calib_model_ == CalibrationModel::KANNALA_BRANDT) {
// KANNALA_BRANDT
process_childs(processor_, DepthProcessor::NAME,
ObjMat{data.frame, data.frame_id, data.img});
#endif
} else {
// UNKNOW
LOG(ERROR) << "Unknow calib model type in device: "
<< calib_model_;
}
} break;
default:
break;
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}
}
bool Synthetic::OnRectifyProcess(
Object *const in, Object *const out, Processor *const parent) {
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MYNTEYE_UNUSED(parent)
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if (plugin_ && plugin_->OnRectifyProcess(in, out)) {
return true;
}
return GetStreamEnabledMode(Stream::LEFT_RECTIFIED) != MODE_SYNTHETIC;
// && GetStreamEnabledMode(Stream::RIGHT_RECTIFIED) != MODE_SYNTHETIC
}
bool Synthetic::OnDisparityProcess(
Object *const in, Object *const out, Processor *const parent) {
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MYNTEYE_UNUSED(parent)
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if (plugin_ && plugin_->OnDisparityProcess(in, out)) {
return true;
}
return GetStreamEnabledMode(Stream::DISPARITY) != MODE_SYNTHETIC;
}
bool Synthetic::OnDisparityNormalizedProcess(
Object *const in, Object *const out, Processor *const parent) {
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MYNTEYE_UNUSED(parent)
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if (plugin_ && plugin_->OnDisparityNormalizedProcess(in, out)) {
return true;
}
return GetStreamEnabledMode(Stream::DISPARITY_NORMALIZED) != MODE_SYNTHETIC;
}
bool Synthetic::OnPointsProcess(
Object *const in, Object *const out, Processor *const parent) {
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MYNTEYE_UNUSED(parent)
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if (plugin_ && plugin_->OnPointsProcess(in, out)) {
return true;
}
return GetStreamEnabledMode(Stream::POINTS) != MODE_SYNTHETIC;
}
bool Synthetic::OnDepthProcess(
Object *const in, Object *const out, Processor *const parent) {
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MYNTEYE_UNUSED(parent)
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if (plugin_ && plugin_->OnDepthProcess(in, out)) {
return true;
}
return GetStreamEnabledMode(Stream::DEPTH) != MODE_SYNTHETIC;
}
void Synthetic::OnRectifyPostProcess(Object *const out) {
const ObjMat2 *output = Object::Cast<ObjMat2>(out);
if (HasStreamCallback(Stream::LEFT_RECTIFIED)) {
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stream_callbacks_.at(Stream::LEFT_RECTIFIED)(
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{output->first_data, output->first, nullptr, output->first_id});
}
if (HasStreamCallback(Stream::RIGHT_RECTIFIED)) {
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stream_callbacks_.at(Stream::RIGHT_RECTIFIED)(
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{output->second_data, output->second, nullptr, output->second_id});
}
}
void Synthetic::OnDisparityPostProcess(Object *const out) {
const ObjMat *output = Object::Cast<ObjMat>(out);
if (HasStreamCallback(Stream::DISPARITY)) {
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stream_callbacks_.at(Stream::DISPARITY)(
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{output->data, output->value, nullptr, output->id});
}
}
void Synthetic::OnDisparityNormalizedPostProcess(Object *const out) {
const ObjMat *output = Object::Cast<ObjMat>(out);
if (HasStreamCallback(Stream::DISPARITY_NORMALIZED)) {
stream_callbacks_.at(Stream::DISPARITY_NORMALIZED)(
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{output->data, output->value, nullptr, output->id});
}
}
void Synthetic::OnPointsPostProcess(Object *const out) {
const ObjMat *output = Object::Cast<ObjMat>(out);
if (HasStreamCallback(Stream::POINTS)) {
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stream_callbacks_.at(Stream::POINTS)(
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{output->data, output->value, nullptr, output->id});
}
}
void Synthetic::OnDepthPostProcess(Object *const out) {
const ObjMat *output = Object::Cast<ObjMat>(out);
if (HasStreamCallback(Stream::DEPTH)) {
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stream_callbacks_.at(Stream::DEPTH)(
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{output->data, output->value, nullptr, output->id});
}
}
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MYNTEYE_END_NAMESPACE