fairmot_dla34_30e_1088x608_bdd100kmot_vehicle.yml 1.0 KB

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  1. _BASE_: [
  2. '../fairmot/fairmot_dla34_30e_1088x608.yml'
  3. ]
  4. weights: output/fairmot_dla34_30e_1088x608_bdd100kmot_vehicle/model_final
  5. # for MOT training
  6. TrainDataset:
  7. !MOTDataSet
  8. dataset_dir: dataset/mot
  9. image_lists: ['bdd100kmot_vehicle.train']
  10. data_fields: ['image', 'gt_bbox', 'gt_class', 'gt_ide']
  11. # for MOT evaluation
  12. # If you want to change the MOT evaluation dataset, please modify 'data_root'
  13. EvalMOTDataset:
  14. !MOTImageFolder
  15. dataset_dir: dataset/mot
  16. data_root: bdd100kmot_vehicle/images/val
  17. keep_ori_im: False # set True if save visualization images or video, or used in DeepSORT
  18. # for MOT video inference
  19. TestMOTDataset:
  20. !MOTImageFolder
  21. dataset_dir: dataset/mot
  22. keep_ori_im: True # set True if save visualization images or video
  23. # model config
  24. FairMOT:
  25. detector: CenterNet
  26. reid: FairMOTEmbeddingHead
  27. loss: FairMOTLoss
  28. tracker: JDETracker
  29. JDETracker:
  30. min_box_area: 0
  31. vertical_ratio: 0 # no need to filter bboxes according to w/h
  32. conf_thres: 0.4
  33. tracked_thresh: 0.4
  34. metric_type: cosine