(self, tlwh, score)
| 14 | class STrack(BaseTrack): |
| 15 | shared_kalman = KalmanFilter() |
| 16 | def __init__(self, tlwh, score): |
| 17 | |
| 18 | # wait activate |
| 19 | self._tlwh = np.asarray(tlwh, dtype=np.float) |
| 20 | self.kalman_filter = None |
| 21 | self.mean, self.covariance = None, None |
| 22 | self.is_activated = False |
| 23 | |
| 24 | self.score = score |
| 25 | self.tracklet_len = 0 |
| 26 | |
| 27 | def predict(self): |
| 28 | mean_state = self.mean.copy() |
nothing calls this directly
no outgoing calls
no test coverage detected