Update README.md

Delete deprecated args

README.md

@@ -161,8 +161,8 @@ python tracking/track.py --source 0 --yolo-model yolov8s.pt --classes 16 17  # C
 Evaluate a combination of detector, tracking method and ReID model on standard MOT dataset or you custom one by
 
 ```bash
-$ python3 tracking/val.py --benchmark MOT17-mini --yolo-model yolov8n.pt --reid-model osnet_x0_25_msmt17.pt --tracking-method deepocsort --verbose --source ./assets/MOT17-mini/train
-$ python3 tracking/val.py --benchmark MOT17      --yolo-model yolov8n.pt --reid-model osnet_x0_25_msmt17.pt --tracking-method ocsort     --verbose --source ./tracking/val_utils/MOT17/train
+$ python3 tracking/val.py --yolo-model yolov8n.pt --reid-model osnet_x0_25_msmt17.pt --tracking-method deepocsort --verbose --source ./assets/MOT17-mini/train
+$ python3 tracking/val.py --yolo-model yolov8n.pt --reid-model osnet_x0_25_msmt17.pt --tracking-method ocsort     --verbose --source ./tracking/val_utils/MOT17/train
 ```
 
 Detections and embeddings are stored for the selected YOLO and ReID model respectively, which then be loaded into any tracking algorithm. Avoiding the overhead of repeatedly generating this data.
@@ -178,7 +178,7 @@ We use a fast and elitist multiobjective genetic algorithm for tracker hyperpara
 # saves dets and embs under ./runs/dets_n_embs separately for each selected yolo and reid model
 $ python tracking/generate_dets_n_embs.py --source ./assets/MOT17-mini/train --yolo-model yolov8n.pt yolov8s.pt --reid-model weights/osnet_x0_25_msmt17.pt
 # evolve parameters for specified tracking method using the selected detections and embeddings generated in the previous step
-$ python tracking/evolve.py --benchmark MOT17-mini --dets yolov8n --embs osnet_x0_25_msmt17 --n-trials 9 --tracking-method botsort
+$ python tracking/evolve.py --dets yolov8n --embs osnet_x0_25_msmt17 --n-trials 9 --tracking-method botsort --source ./assets/MOT17-mini/train
 ```
 
 The set of hyperparameters leading to the best HOTA result are written to the tracker's config file.