person_monitor/dependence/ByteTrack/deploy/DeepStream/src/STrack.cpp

#include "STrack.h"

STrack::STrack(vector<float> tlwh_, float score, int label, NvMOTObjToTrack *associatedObjectIn) {
    _tlwh.resize(4);
    _tlwh.assign(tlwh_.begin(), tlwh_.end());
    original_tlwh.resize(4);
    original_tlwh.assign(tlwh_.begin(), tlwh_.end());

    is_activated = false;
    track_id     = 0;
    state        = TrackState::New;

    tlwh.resize(4);
    tlbr.resize(4);

    static_tlwh();
    static_tlbr();
    frame_id     = 0;
    tracklet_len = 0;
    this->score = score;
    start_frame = 0;
    this->label              = label;
    this->associatedObjectIn = associatedObjectIn;
}

STrack::~STrack() {
}

void STrack::activate(byte_kalman::KalmanFilter &kalman_filter, int frame_id) {
    this->kalman_filter = kalman_filter;
    this->track_id      = this->next_id();

    vector<float> _tlwh_tmp(4);
    _tlwh_tmp[0] = this->_tlwh[0];
    _tlwh_tmp[1] = this->_tlwh[1];
    _tlwh_tmp[2] = this->_tlwh[2];
    _tlwh_tmp[3] = this->_tlwh[3];
    vector<float> xyah = tlwh_to_xyah(_tlwh_tmp);
    DETECTBOX     xyah_box;
    xyah_box[0] = xyah[0];
    xyah_box[1] = xyah[1];
    xyah_box[2] = xyah[2];
    xyah_box[3] = xyah[3];
    auto mc = this->kalman_filter.initiate(xyah_box);
    this->mean       = mc.first;
    this->covariance = mc.second;

    static_tlwh();
    static_tlbr();

    this->tracklet_len = 0;
    this->state        = TrackState::Tracked;
    if (frame_id == 1) {
        this->is_activated = true;
    }
    //this->is_activated = true;
    this->frame_id     = frame_id;
    this->start_frame  = frame_id;
}

void STrack::re_activate(STrack &new_track, int frame_id, bool new_id) {
    vector<float> xyah = tlwh_to_xyah(new_track.tlwh);
    DETECTBOX     xyah_box;
    xyah_box[0] = xyah[0];
    xyah_box[1] = xyah[1];
    xyah_box[2] = xyah[2];
    xyah_box[3] = xyah[3];
    auto mc = this->kalman_filter.update(this->mean, this->covariance, xyah_box);
    this->mean       = mc.first;
    this->covariance = mc.second;

    static_tlwh();
    static_tlbr();

    this->tracklet_len       = 0;
    this->state              = TrackState::Tracked;
    this->is_activated       = true;
    this->frame_id           = frame_id;
    this->score              = new_track.score;
    this->associatedObjectIn = new_track.associatedObjectIn;
    this->original_tlwh.resize(4);
    this->original_tlwh.assign(new_track.original_tlwh.begin(), new_track.original_tlwh.end());
    if (new_id)
        this->track_id = next_id();
}

void STrack::update(STrack &new_track, int frame_id) {
    this->frame_id = frame_id;
    this->tracklet_len++;

    vector<float> xyah = tlwh_to_xyah(new_track.tlwh);
    DETECTBOX     xyah_box;
    xyah_box[0] = xyah[0];
    xyah_box[1] = xyah[1];
    xyah_box[2] = xyah[2];
    xyah_box[3] = xyah[3];

    auto mc = this->kalman_filter.update(this->mean, this->covariance, xyah_box);
    this->mean       = mc.first;
    this->covariance = mc.second;

    static_tlwh();
    static_tlbr();

    this->state              = TrackState::Tracked;
    this->is_activated       = true;
    this->score              = new_track.score;
    this->associatedObjectIn = new_track.associatedObjectIn;
    this->original_tlwh.resize(4);
    this->original_tlwh.assign(new_track.original_tlwh.begin(), new_track.original_tlwh.end());
}

void STrack::static_tlwh() {
    if (this->state == TrackState::New) {
        tlwh[0] = _tlwh[0];
        tlwh[1] = _tlwh[1];
        tlwh[2] = _tlwh[2];
        tlwh[3] = _tlwh[3];
        return;
    }

    tlwh[0] = mean[0];
    tlwh[1] = mean[1];
    tlwh[2] = mean[2];
    tlwh[3] = mean[3];

    tlwh[2] *= tlwh[3];
    tlwh[0] -= tlwh[2] / 2;
    tlwh[1] -= tlwh[3] / 2;
}

void STrack::static_tlbr() {
    tlbr.clear();
    tlbr.assign(tlwh.begin(), tlwh.end());
    tlbr[2] += tlbr[0];
    tlbr[3] += tlbr[1];
}

vector<float> STrack::tlwh_to_xyah(vector<float> tlwh_tmp) {
    vector<float> tlwh_output = tlwh_tmp;
    tlwh_output[0] += tlwh_output[2] / 2;
    tlwh_output[1] += tlwh_output[3] / 2;
    tlwh_output[2] /= tlwh_output[3];
    return tlwh_output;
}

vector<float> STrack::to_xyah() {
    return tlwh_to_xyah(tlwh);
}

vector<float> STrack::tlbr_to_tlwh(vector<float> &tlbr) {
    tlbr[2] -= tlbr[0];
    tlbr[3] -= tlbr[1];
    return tlbr;
}

void STrack::mark_lost() {
    state = TrackState::Lost;
}

void STrack::mark_removed() {
    state = TrackState::Removed;
}

int STrack::next_id() {
    static int _count = 0;
    _count++;
    return _count;
}

int STrack::end_frame() {
    return this->frame_id;
}

void STrack::multi_predict(vector<STrack *> &stracks, byte_kalman::KalmanFilter &kalman_filter) {
    for (int i = 0; i < stracks.size(); i++) {
        if (stracks[i]->state != TrackState::Tracked) {
            stracks[i]->mean[7] = 0;
        }
        kalman_filter.predict(stracks[i]->mean, stracks[i]->covariance);
    }
}