### Fusion README


We have submitted code for some of the fusion methods we propose or extend. Specifically, we have submitted the code for NMS fusion, AdaNMS, Bayesian fusion. 

the submitted fusion.py module contains all the fusion methods and utilities. This file has functional code with `fuse_all_boxes` as the entrypoint. One needs to pass in the input samples, object 

```
fuse_all_boxes(input_samples, 
                nusc_eval_cp, 
                cp_conf_thresh, 
                nusc_eval_fcos, 
                fcos_thresh:int = 0.0, 
                fusion_type:str = 'iou', 
                iou_thresh:float = 0.1, 
                distance_thresh:float = 0.5,
                model = None, 
                return_high_performing = False):
```
