(self, tlwh, score, temp_feat, buffer_size=30)
| 23 | class STrack(BaseTrack): |
| 24 | shared_kalman = KalmanFilter() |
| 25 | def __init__(self, tlwh, score, temp_feat, buffer_size=30): |
| 26 | |
| 27 | # wait activate |
| 28 | self._tlwh = np.asarray(tlwh, dtype=np.float) |
| 29 | self.kalman_filter = None |
| 30 | self.mean, self.covariance = None, None |
| 31 | self.is_activated = False |
| 32 | |
| 33 | self.score = score |
| 34 | self.score_list = [] |
| 35 | self.tracklet_len = 0 |
| 36 | |
| 37 | self.smooth_feat = None |
| 38 | self.update_features(temp_feat) |
| 39 | self.features = deque([], maxlen=buffer_size) |
| 40 | self.alpha = 0.9 |
| 41 | |
| 42 | def update_features(self, feat): |
| 43 | feat /= np.linalg.norm(feat) |
nothing calls this directly
no test coverage detected