_BASE_: [
  '../../datasets/mot.yml',
  '../../runtime.yml',
  '_base_/optimizer_30e.yml',
  '_base_/jde_darknet53.yml',
  '_base_/jde_reader_1088x608.yml',
]
weights: output/jde_darknet53_30e_1088x608/model_final

JDE:
  detector: YOLOv3
  reid: JDEEmbeddingHead
  tracker: JDETracker
  metric: 'MOT'

YOLOv3:
  backbone: DarkNet
  neck: YOLOv3FPN
  yolo_head: YOLOv3Head
  post_process: JDEBBoxPostProcess
  for_mot: True

YOLOv3Head:
  anchors: [[128,384], [180,540], [256,640], [512,640],
            [32,96], [45,135], [64,192], [90,271],
            [8,24], [11,34], [16,48], [23,68]]
  anchor_masks: [[0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11]]
  loss: JDEDetectionLoss

JDETracker:
  det_thresh: 0.3
  track_buffer: 30
  min_box_area: 200
  motion: KalmanFilter

JDEBBoxPostProcess:
  decode:
    name: JDEBox
    conf_thresh: 0.5
    downsample_ratio: 32
  nms:
    name: MultiClassNMS
    keep_top_k: 500
    score_threshold: 0.01
    nms_threshold: 0.4
    nms_top_k: 2000
    normalized: true