generate one `AffineTransform` for input image

Compute cost based on IoU :type atracks: list[STrack] :type btracks: list[STrack] :rtype cost_matrix np.ndarray

Run Kalman filter prediction step (Vectorized version). Parameters ---------- mean : ndarray The Nx8 dimensional m

Run Kalman filter prediction step. Parameters ---------- mean : ndarray The 8 dimensional mean vector of the obje

If `resume==True` and `cfg.OUTPUT_DIR` contains the last checkpoint (defined by a `last_checkpoint` file), resume from the file. Resu

Convert bounding box to format `(min x, min y, max x, max y)`, i.e., `(top left, bottom right)`.

Get current position in bounding box format `(top left x, top left y, width, height)`.

A batch collator that does nothing.

Run Kalman filter correction step. Parameters ---------- mean : ndarray The predicted state's mean vector (8 dime