How to evaluate on custom tracking dataset

0. Run val.py once in order to download the evaluation tools

1. Create your custom dataset folder under:

yolov8_tracking/val_utils/data/MOTCUSTOM

Following the standard MOT structure

MOTCUSTOM
├── test
│   ├── MOTCUSTOM-01          # the content of all the sequence folders should be the same
│   │   ├── img1
│   │   │    ├── 000001.jpg
│   │   │    ├── 000002.jpg
│   │   │    ├── ...
│   │   │    └── XXXXXX.jpg
│   │   ├── gt
│   │   │   └── gt.txt
│   │   └── seqinfo.ini
│   ├── MOTCUSTOM-02
│   ├── ...
│   └── MOTCUSTOM-05
└── train
    ├── MOTCUSTOM-06
    ├── ...
    └── MOTCUSTOM-10

where seqinfo.ini should contain:

[Sequence]
seqLength=<X>

where seqLength is the number of frames in the img1 of that sequence folder

4. Now everything is setup for custom dataset evaluation

python val.py --yolo-weights <my_custom_weights> --benchmark MOTCUSTOM --split test --tracking-method strongsort
                                                                                                      ocsort
                                                                                                      bytetrack

By default all sequences in test v train will be taken into consideration for evaluation