DocumentAIKit/configs/mot/bytetrack/bytetrack_ppyoloe_ppvehicle9cls.yml

# This config is an assembled config for ByteTrack MOT, used as eval/infer mode for MOT.
_BASE_: [
  'bytetrack_ppyoloe.yml',
  '_base_/ppyoloe_mot_reader_640x640.yml'
]
weights: output/bytetrack_ppyoloe_ppvehicle9cls/model_final

metric: MCMOT # multi-class, `MOT` for single class
num_classes: 9
# pedestrian(1), rider(2), car(3), truck(4), bus(5), van(6), motorcycle(7), bicycle(8), others(9)
TestMOTDataset:
  !MOTImageFolder
    dataset_dir: dataset/mot
    keep_ori_im: True # set True if save visualization images or video
    anno_path: dataset/mot/label_list.txt # absolute path

### write in label_list.txt each line:
# pedestrian
# rider
# car
# truck
# bus
# van
# motorcycle
# bicycle
# others
###

det_weights: https://paddledet.bj.bcebos.com/models/mot_ppyoloe_l_36e_ppvehicle9cls.pdparams
depth_mult: 1.0
width_mult: 1.0

# Tracking requires higher quality boxes, so NMS score_threshold will be higher
PPYOLOEHead:
  nms:
    name: MultiClassNMS
    nms_top_k: 1000
    keep_top_k: 100
    score_threshold: 0.1 # 0.01 in original detector
    nms_threshold: 0.4 # 0.6 in original detector

# BYTETracker
JDETracker:
  use_byte: True
  match_thres: 0.9
  conf_thres: 0.2
  low_conf_thres: 0.1
  min_box_area: 0
  vertical_ratio: 0 # only use 1.6 in MOT17 pedestrian