inference_testset.yaml

# [Default Setting]
Default:
  RESULT_FOLDER: ./aicup_results
  FRAME_FOLDER: ./assets/demo_images  # ./datasets/32_33_AI_CUP_testdataset/AI_CUP_testdata/images

  # write mot (AICUP submit) txt file
  WRITE_MOT_TXT: true

  # write final inference video
  SAVE_OUT_VIDEO: true
  SAVE_OUT_VIDEO_FPS: 3


# [Detector]
Detector:
  ENSEMBLE: false  # if set true, fill the detector_weight_list and corresponding score
  ENSEMBLE_MODEL_LIST: [
        weights/yolov9-c_0902.pt,
        weights/yolov9-c_1016.pt,
        weights/yolov8-x_finetune.pt,
        weights/yolov8-x_worldv2_pretrained.pt
    ]
  ENSEMBLE_WEIGHT_LIST: [0.8, 0.76, 0.75, 0.7]

  DETECTOR_WEIGHT: weights/yolov9-c_0902.pt
  DETECTOR_CONFIDENCE: 0.05


# [Extractor]
Extractor:
  EXTRACTOR_WEIGHT: weights/osnet_x1_0.pth.tar-50
  EXTRACTOR_TYPE: osnet_x1_0
  EXTRACTOR_THRESHOLD: 0.6


# [Tracker]
Tracker:
  TRACKER_MOTION_PREDICT: lr  # lr / kf  (Linear / Kalman Filter)
  TRACKER_MAX_UNMATCH_FRAME : 3