add GPU svo under development
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// This file is part of SVO - Semi-direct Visual Odometry.
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//
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// Copyright (C) 2014 Christian Forster <forster at ifi dot uzh dot ch>
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// (Robotics and Perception Group, University of Zurich, Switzerland).
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//
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// SVO is free software: you can redistribute it and/or modify it under the
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// terms of the GNU General Public License as published by the Free Software
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// Foundation, either version 3 of the License, or any later version.
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//
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// SVO is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
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//
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// You should have received a copy of the GNU General Public License
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// along with this program. If not, see <http://www.gnu.org/licenses/>.
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#include <vikit/abstract_camera.h>
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#include <stdlib.h>
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#include <Eigen/StdVector>
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#include <boost/bind.hpp>
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#include <fstream>
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#include <svo/frame_handler_base.h>
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#include <svo/config.h>
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#include <svo/feature.h>
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#include <svo/matcher.h>
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#include <svo/map.h>
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#include <svo/point.h>
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namespace svo
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{
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// definition of global and static variables which were declared in the header
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#ifdef SVO_TRACE
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vk::PerformanceMonitor* g_permon = NULL;
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#endif
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FrameHandlerBase::FrameHandlerBase() :
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stage_(STAGE_PAUSED),
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set_reset_(false),
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set_start_(false),
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acc_frame_timings_(10),
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acc_num_obs_(10),
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num_obs_last_(0),
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tracking_quality_(TRACKING_INSUFFICIENT)
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{
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#ifdef SVO_TRACE
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// Initialize Performance Monitor
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g_permon = new vk::PerformanceMonitor();
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g_permon->addTimer("pyramid_creation");
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g_permon->addTimer("sparse_img_align");
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g_permon->addTimer("reproject");
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g_permon->addTimer("reproject_kfs");
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g_permon->addTimer("reproject_candidates");
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g_permon->addTimer("feature_align");
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g_permon->addTimer("pose_optimizer");
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g_permon->addTimer("point_optimizer");
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g_permon->addTimer("local_ba");
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g_permon->addTimer("tot_time");
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g_permon->addLog("timestamp");
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g_permon->addLog("img_align_n_tracked");
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g_permon->addLog("repr_n_mps");
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g_permon->addLog("repr_n_new_references");
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g_permon->addLog("sfba_thresh");
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g_permon->addLog("sfba_error_init");
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g_permon->addLog("sfba_error_final");
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g_permon->addLog("sfba_n_edges_final");
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g_permon->addLog("loba_n_erredges_init");
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g_permon->addLog("loba_n_erredges_fin");
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g_permon->addLog("loba_err_init");
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g_permon->addLog("loba_err_fin");
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g_permon->addLog("n_candidates");
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g_permon->addLog("dropout");
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g_permon->init(Config::traceName(), Config::traceDir());
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#endif
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SVO_INFO_STREAM("SVO initialized");
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}
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FrameHandlerBase::~FrameHandlerBase()
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{
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SVO_INFO_STREAM("SVO destructor invoked");
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#ifdef SVO_TRACE
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delete g_permon;
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#endif
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}
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bool FrameHandlerBase::startFrameProcessingCommon(const double timestamp)
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{
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if(set_start_)
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{
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resetAll();
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stage_ = STAGE_FIRST_FRAME;
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}
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if(stage_ == STAGE_PAUSED)
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return false;
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SVO_LOG(timestamp);
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SVO_DEBUG_STREAM("New Frame");
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SVO_START_TIMER("tot_time");
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timer_.start();
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// some cleanup from last iteration, can't do before because of visualization
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map_.emptyTrash();
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return true;
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}
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int FrameHandlerBase::finishFrameProcessingCommon(
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const size_t update_id,
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const UpdateResult dropout,
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const size_t num_observations)
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{
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SVO_DEBUG_STREAM("Frame: "<<update_id<<"\t fps-avg = "<< 1.0/acc_frame_timings_.getMean()<<"\t nObs = "<<acc_num_obs_.getMean());
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SVO_LOG(dropout);
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// save processing time to calculate fps
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acc_frame_timings_.push_back(timer_.stop());
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if(stage_ == STAGE_DEFAULT_FRAME)
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acc_num_obs_.push_back(num_observations);
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num_obs_last_ = num_observations;
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SVO_STOP_TIMER("tot_time");
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#ifdef SVO_TRACE
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g_permon->writeToFile();
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{
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boost::unique_lock<boost::mutex> lock(map_.point_candidates_.mut_);
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size_t n_candidates = map_.point_candidates_.candidates_.size();
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SVO_LOG(n_candidates);
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}
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#endif
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if(dropout == RESULT_FAILURE &&
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(stage_ == STAGE_DEFAULT_FRAME || stage_ == STAGE_RELOCALIZING ))
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{
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stage_ = STAGE_RELOCALIZING;
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tracking_quality_ = TRACKING_INSUFFICIENT;
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}
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else if (dropout == RESULT_FAILURE)
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resetAll();
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if(set_reset_)
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resetAll();
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return 0;
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}
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void FrameHandlerBase::resetCommon()
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{
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map_.reset();
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stage_ = STAGE_PAUSED;
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set_reset_ = false;
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set_start_ = false;
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tracking_quality_ = TRACKING_INSUFFICIENT;
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num_obs_last_ = 0;
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SVO_INFO_STREAM("RESET");
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}
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void FrameHandlerBase::setTrackingQuality(const size_t num_observations)
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{
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tracking_quality_ = TRACKING_GOOD;
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if(num_observations < Config::qualityMinFts())
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{
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SVO_WARN_STREAM_THROTTLE(0.5, "Tracking less than "<< Config::qualityMinFts() <<" features!");
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tracking_quality_ = TRACKING_INSUFFICIENT;
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}
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const int feature_drop = static_cast<int>(std::min(num_obs_last_, Config::maxFts())) - num_observations;
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if(feature_drop > Config::qualityMaxFtsDrop())
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{
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SVO_WARN_STREAM("Lost "<< feature_drop <<" features!");
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tracking_quality_ = TRACKING_INSUFFICIENT;
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}
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}
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bool ptLastOptimComparator(Point* lhs, Point* rhs)
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{
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return (lhs->last_structure_optim_ < rhs->last_structure_optim_);
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}
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void FrameHandlerBase::optimizeStructure(
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FramePtr frame,
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size_t max_n_pts,
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int max_iter)
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{
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deque<Point*> pts;
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for(Features::iterator it=frame->fts_.begin(); it!=frame->fts_.end(); ++it)
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{
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if((*it)->point != NULL)
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pts.push_back((*it)->point);
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}
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max_n_pts = min(max_n_pts, pts.size());
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nth_element(pts.begin(), pts.begin() + max_n_pts, pts.end(), ptLastOptimComparator);
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for(deque<Point*>::iterator it=pts.begin(); it!=pts.begin()+max_n_pts; ++it)
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{
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(*it)->optimize(max_iter);
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(*it)->last_structure_optim_ = frame->id_;
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}
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}
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} // namespace svo
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