From 92bb32b816d955a93886260073ce7e39184be340 Mon Sep 17 00:00:00 2001
From: Nicolas <nicolas.mathieu@artefact.com>
Date: Wed, 27 Mar 2024 17:16:56 +0100
Subject: [PATCH] cleaned dead code on byte_tracker

---
 bytetracker/byte_tracker.py | 21 +--------------------
 1 file changed, 1 insertion(+), 20 deletions(-)

diff --git a/bytetracker/byte_tracker.py b/bytetracker/byte_tracker.py
index 26c323e..0768efb 100644
--- a/bytetracker/byte_tracker.py
+++ b/bytetracker/byte_tracker.py
@@ -36,7 +36,6 @@ def __init__(self, tlwh, score, cls):
         self.is_activated = False
 
         self.score = score
-        self.tracklet_len = 0
         self.cls = cls
 
     def predict(self):
@@ -66,7 +65,6 @@ def activate(self, kalman_filter, frame_id):
         self.track_id = self.next_id()
         self.mean, self.covariance = self.kalman_filter.initiate(self.tlwh_to_xyah(self._tlwh))
 
-        self.tracklet_len = 0
         self.state = TrackState.Tracked
         if frame_id == 1:
             self.is_activated = True
@@ -78,7 +76,6 @@ def re_activate(self, new_track, frame_id, new_id=False):
         self.mean, self.covariance = self.kalman_filter.update(
             self.mean, self.covariance, self.tlwh_to_xyah(new_track.tlwh)
         )
-        self.tracklet_len = 0
         self.state = TrackState.Tracked
         self.is_activated = True
         self.frame_id = frame_id
@@ -96,7 +93,6 @@ def update(self, new_track, frame_id):
         :return:
         """
         self.frame_id = frame_id
-        self.tracklet_len += 1
         self.cls = new_track.cls
 
         new_tlwh = new_track.tlwh
@@ -145,13 +141,6 @@ def tlwh_to_xyah(tlwh):
     def to_xyah(self):
         return self.tlwh_to_xyah(self.tlwh)
 
-    @staticmethod
-    # @jit(nopython=True)
-    def tlbr_to_tlwh(tlbr):
-        ret = np.asarray(tlbr).copy()
-        ret[2:] -= ret[:2]
-        return ret
-
     @staticmethod
     # @jit(nopython=True)
     def tlwh_to_tlbr(tlwh):
@@ -180,14 +169,6 @@ def __init__(self, track_thresh=0.45, track_buffer=25, match_thresh=0.8, frame_r
         self.max_time_lost = self.buffer_size
         self.kalman_filter = KalmanFilter()
 
-    def reset(self):
-        self.tracked_stracks = []  # type: list[STrack]
-        self.lost_stracks = []  # type: list[STrack]
-        self.removed_stracks = []  # type: list[STrack]
-        self.frame_id = 0
-        self.kalman_filter = KalmanFilter()
-        BaseTrack._count = 0
-
     def update(self, dets, frame_id):
         self.frame_id = frame_id
         activated_starcks = []
@@ -262,7 +243,7 @@ def update(self, dets, frame_id):
             strack_pool[i] for i in u_track if strack_pool[i].state == TrackState.Tracked
         ]
         dists = matching.iou_distance(r_tracked_stracks, detections_second)
-        matches, u_track, u_detection_second = matching.linear_assignment(dists, thresh=0.5)
+        matches, u_track, _ = matching.linear_assignment(dists, thresh=0.5)
         for itracked, idet in matches:
             track = r_tracked_stracks[itracked]
             det = detections_second[idet]