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* feat: add optimized bytetrack * chore: add libeigen
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[submodule "third_party/Eigen3"] | ||
path = third_party/Eigen3 | ||
url = https://gitlab.com/libeigen/eigen.git |
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/* | ||
* MIT License | ||
* Copyright (c) 2021 Yifu Zhang | ||
* | ||
* Modified by nullptr, Apr 15, 2024, Seeed Technology Co.,Ltd | ||
*/ | ||
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#include "BYTETracker.h" | ||
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#include <cstdint> | ||
#include <utility> | ||
#include <vector> | ||
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using namespace std; | ||
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BYTETracker::BYTETracker(int frame_rate, int track_buffer) { | ||
track_thresh = 0.5; | ||
high_thresh = 0.6; | ||
match_thresh = 0.8; | ||
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frame_id = 0; | ||
max_time_lost = int(frame_rate / 30.0 * track_buffer); | ||
} | ||
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BYTETracker::~BYTETracker() {} | ||
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vector<STrack> BYTETracker::update(const vector<Object>& objects) { | ||
////////////////// Step 1: Get detections ////////////////// | ||
this->frame_id += 1; | ||
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vector<STrack> activated_stracks; | ||
vector<STrack> refind_stracks; | ||
vector<STrack> removed_stracks; | ||
vector<STrack> lost_stracks; | ||
vector<STrack> detections; | ||
vector<STrack> detections_low; | ||
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vector<STrack> detections_cp; | ||
vector<STrack> tracked_stracks_swap; | ||
vector<STrack> resa, resb; | ||
vector<STrack> output_stracks; | ||
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vector<STrack*> unconfirmed; | ||
vector<STrack*> tracked_stracks; | ||
vector<STrack*> strack_pool; | ||
vector<STrack*> r_tracked_stracks; | ||
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for (const auto& obj : objects) { | ||
vector<float> tlwh_; | ||
tlwh_.resize(4); | ||
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tlwh_[0] = obj.rect.x; | ||
tlwh_[1] = obj.rect.y; | ||
tlwh_[2] = obj.rect.width; | ||
tlwh_[3] = obj.rect.height; | ||
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float score = obj.prob; | ||
if (score >= track_thresh) { | ||
detections.emplace_back(move(tlwh_), score, obj.id); | ||
} else { | ||
detections_low.emplace_back(move(tlwh_), score, obj.id); | ||
} | ||
} | ||
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// Add newly detected tracklets to tracked_stracks | ||
for (size_t i = 0; i < this->tracked_stracks.size(); ++i) { | ||
if (!this->tracked_stracks[i].is_activated) | ||
unconfirmed.push_back(&this->tracked_stracks[i]); | ||
else | ||
tracked_stracks.push_back(&this->tracked_stracks[i]); | ||
} | ||
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////////////////// Step 2: First association, with IoU ////////////////// | ||
strack_pool = joint_stracks(tracked_stracks, this->lost_stracks); | ||
STrack::multi_predict(strack_pool, this->kalman_filter); | ||
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vector<vector<float> > dists; | ||
int dist_size = 0, dist_size_size = 0; | ||
dists = iou_distance(strack_pool, detections, dist_size, dist_size_size); | ||
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vector<vector<int> > matches; | ||
vector<int> u_track, u_detection; | ||
linear_assignment(dists, dist_size, dist_size_size, match_thresh, matches, u_track, u_detection); | ||
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for (int i = 0; i < matches.size(); ++i) { | ||
STrack* track = strack_pool[matches[i][0]]; | ||
STrack* det = &detections[matches[i][1]]; | ||
if (track->state == TrackState::Tracked) { | ||
track->update(*det, this->frame_id); | ||
activated_stracks.push_back(*track); | ||
} else { | ||
track->re_activate(*det, this->frame_id, false); | ||
refind_stracks.push_back(*track); | ||
} | ||
} | ||
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////////////////// Step 3: Second association, using low score dets ////////////////// | ||
for (int i = 0; i < u_detection.size(); ++i) { | ||
detections_cp.push_back(move(detections[u_detection[i]])); | ||
} | ||
detections.clear(); | ||
detections.assign(detections_low.begin(), detections_low.end()); | ||
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for (int i = 0; i < u_track.size(); ++i) { | ||
auto idx = u_track[i]; | ||
auto st = strack_pool[idx]; | ||
if (st->state == TrackState::Tracked) { | ||
r_tracked_stracks.push_back(st); | ||
} | ||
} | ||
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dists.clear(); | ||
dists = iou_distance(r_tracked_stracks, detections, dist_size, dist_size_size); | ||
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matches.clear(); | ||
u_track.clear(); | ||
u_detection.clear(); | ||
linear_assignment(dists, dist_size, dist_size_size, 0.5, matches, u_track, u_detection); | ||
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for (int i = 0; i < matches.size(); ++i) { | ||
STrack* track = r_tracked_stracks[matches[i][0]]; | ||
STrack* det = &detections[matches[i][1]]; | ||
if (track->state == TrackState::Tracked) { | ||
track->update(*det, this->frame_id); | ||
activated_stracks.push_back(*track); | ||
} else { | ||
track->re_activate(*det, this->frame_id, false); | ||
refind_stracks.push_back(*track); | ||
} | ||
} | ||
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for (int i = 0; i < u_track.size(); ++i) { | ||
STrack* track = r_tracked_stracks[u_track[i]]; | ||
if (track->state != TrackState::Lost) { | ||
track->mark_lost(); | ||
lost_stracks.push_back(*track); | ||
} | ||
} | ||
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// Deal with unconfirmed tracks, usually tracks with only one beginning frame | ||
detections.clear(); | ||
detections.assign(detections_cp.begin(), detections_cp.end()); | ||
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dists.clear(); | ||
dists = iou_distance(unconfirmed, detections, dist_size, dist_size_size); | ||
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matches.clear(); | ||
vector<int> u_unconfirmed; | ||
u_detection.clear(); | ||
linear_assignment(dists, dist_size, dist_size_size, 0.7, matches, u_unconfirmed, u_detection); | ||
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for (int i = 0; i < matches.size(); ++i) { | ||
unconfirmed[matches[i][0]]->update(detections[matches[i][1]], this->frame_id); | ||
activated_stracks.push_back(*unconfirmed[matches[i][0]]); | ||
} | ||
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for (int i = 0; i < u_unconfirmed.size(); ++i) { | ||
STrack* track = unconfirmed[u_unconfirmed[i]]; | ||
track->mark_removed(); | ||
removed_stracks.push_back(*track); | ||
} | ||
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////////////////// Step 4: Init new stracks ////////////////// | ||
for (int i = 0; i < u_detection.size(); ++i) { | ||
STrack* track = &detections[u_detection[i]]; | ||
if (track->score < this->high_thresh) continue; | ||
track->activate(this->kalman_filter, this->frame_id); | ||
activated_stracks.push_back(*track); | ||
} | ||
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////////////////// Step 5: Update state ////////////////// | ||
for (int i = 0; i < this->lost_stracks.size(); ++i) { | ||
if (this->frame_id - this->lost_stracks[i].end_frame() > this->max_time_lost) { | ||
this->lost_stracks[i].mark_removed(); | ||
removed_stracks.push_back(this->lost_stracks[i]); | ||
} | ||
} | ||
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for (int i = 0; i < this->tracked_stracks.size(); ++i) { | ||
if (this->tracked_stracks[i].state == TrackState::Tracked) { | ||
tracked_stracks_swap.push_back(this->tracked_stracks[i]); | ||
} | ||
} | ||
this->tracked_stracks.clear(); | ||
this->tracked_stracks.assign(tracked_stracks_swap.begin(), tracked_stracks_swap.end()); | ||
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this->tracked_stracks = joint_stracks(this->tracked_stracks, activated_stracks); | ||
this->tracked_stracks = joint_stracks(this->tracked_stracks, refind_stracks); | ||
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this->lost_stracks = sub_stracks(this->lost_stracks, this->tracked_stracks); | ||
for (int i = 0; i < lost_stracks.size(); ++i) { | ||
this->lost_stracks.push_back(lost_stracks[i]); | ||
} | ||
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this->lost_stracks = sub_stracks(this->lost_stracks, this->removed_stracks); | ||
for (int i = 0; i < removed_stracks.size(); ++i) { | ||
this->removed_stracks.push_back(removed_stracks[i]); | ||
} | ||
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remove_duplicate_stracks(resa, resb, this->tracked_stracks, this->lost_stracks); | ||
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this->tracked_stracks.clear(); | ||
this->tracked_stracks.assign(resa.begin(), resa.end()); | ||
this->lost_stracks.clear(); | ||
this->lost_stracks.assign(resb.begin(), resb.end()); | ||
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for (int i = 0; i < this->tracked_stracks.size(); ++i) { | ||
if (this->tracked_stracks[i].is_activated) { | ||
output_stracks.push_back(this->tracked_stracks[i]); | ||
} | ||
} | ||
return output_stracks; | ||
} |
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/* | ||
* MIT License | ||
* Copyright (c) 2021 Yifu Zhang | ||
* | ||
* Modified by nullptr, Apr 15, 2024, Seeed Technology Co.,Ltd | ||
*/ | ||
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#pragma once | ||
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#include <cfloat> | ||
#include <climits> | ||
#include <cstdint> | ||
#include <vector> | ||
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#include "STrack.h" | ||
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class BYTETracker { | ||
public: | ||
struct Object { | ||
Rect4f rect; | ||
int label; | ||
float prob; | ||
int id; | ||
}; | ||
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public: | ||
BYTETracker(int frame_rate = 30, int track_buffer = 30); | ||
~BYTETracker(); | ||
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std::vector<STrack> update(const std::vector<Object>& objects); | ||
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private: | ||
std::vector<STrack*> joint_stracks(std::vector<STrack*>& tlista, std::vector<STrack>& tlistb); | ||
std::vector<STrack> joint_stracks(std::vector<STrack>& tlista, std::vector<STrack>& tlistb); | ||
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std::vector<STrack> sub_stracks(std::vector<STrack>& tlista, std::vector<STrack>& tlistb); | ||
void remove_duplicate_stracks(std::vector<STrack>& resa, | ||
std::vector<STrack>& resb, | ||
std::vector<STrack>& stracksa, | ||
std::vector<STrack>& stracksb); | ||
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void linear_assignment(std::vector<std::vector<float> >& cost_matrix, | ||
int cost_matrix_size, | ||
int cost_matrix_size_size, | ||
float thresh, | ||
std::vector<std::vector<int> >& matches, | ||
std::vector<int>& unmatched_a, | ||
std::vector<int>& unmatched_b); | ||
std::vector<std::vector<float> > iou_distance(std::vector<STrack*>& atracks, | ||
std::vector<STrack>& btracks, | ||
int& dist_size, | ||
int& dist_size_size); | ||
std::vector<std::vector<float> > iou_distance(std::vector<STrack>& atracks, std::vector<STrack>& btracks); | ||
std::vector<std::vector<float> > ious(std::vector<std::vector<float> >& atlbrs, | ||
std::vector<std::vector<float> >& btlbrs); | ||
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double lapjv(const std::vector<std::vector<float> >& cost, | ||
std::vector<int>& rowsol, | ||
std::vector<int>& colsol, | ||
bool extend_cost = false, | ||
float cost_limit = LONG_MAX, | ||
bool return_cost = true); | ||
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private: | ||
float track_thresh; | ||
float high_thresh; | ||
float match_thresh; | ||
int frame_id; | ||
int max_time_lost; | ||
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std::vector<STrack> tracked_stracks; | ||
std::vector<STrack> lost_stracks; | ||
std::vector<STrack> removed_stracks; | ||
byte_kalman::KalmanFilter kalman_filter; | ||
}; |
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MIT License | ||
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Copyright (c) 2021 Yifu Zhang | ||
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Permission is hereby granted, free of charge, to any person obtaining a copy | ||
of this software and associated documentation files (the "Software"), to deal | ||
in the Software without restriction, including without limitation the rights | ||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | ||
copies of the Software, and to permit persons to whom the Software is | ||
furnished to do so, subject to the following conditions: | ||
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The above copyright notice and this permission notice shall be included in all | ||
copies or substantial portions of the Software. | ||
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | ||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | ||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | ||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | ||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | ||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | ||
SOFTWARE. |
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