Detectors

Detector configs live under boxmot/configs/detectors and define reusable models independently of datasets and experiments.

id: yolox-x-mot17

box_type: aabb

classes:
  0: person

inference:
  image_size: [800, 1440]
  confidence_threshold: 0.01

checkpoints:
  ablation:
    path: models/yolox_x_MOT17_ablation.pt
    uri: https://...
  test:
    path: models/yolox_x_MOT17_test.pt
    uri: https://...

Experiments select checkpoints explicitly. A dataset split never implicitly chooses a detector checkpoint.

The resolver requires exactly two positive image_size values in height-width order, a confidence threshold in [0, 1], and matching detector/dataset box types.

Detector profiles belong to experiment resolution. In direct-source and model-free --dataset workflows, the CLI's --detector option is a detector weight path or model identifier such as yolov8n; it is not a profile selector.