fairmot_dla34_30e_1088x608_kitti_vehicle.yml 1.0 KB

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  1. _BASE_: [
  2. '../fairmot/fairmot_dla34_30e_1088x608.yml'
  3. ]
  4. metric: KITTI
  5. weights: output/fairmot_dla34_30e_1088x608_kitti_vehicle/model_final
  6. # for MOT training
  7. TrainDataset:
  8. !MOTDataSet
  9. dataset_dir: dataset/mot
  10. image_lists: ['kitti_vehicle.train']
  11. data_fields: ['image', 'gt_bbox', 'gt_class', 'gt_ide']
  12. # for MOT evaluation
  13. # If you want to change the MOT evaluation dataset, please modify 'data_root'
  14. EvalMOTDataset:
  15. !MOTImageFolder
  16. dataset_dir: dataset/mot
  17. data_root: kitti_vehicle/images/train
  18. keep_ori_im: False # set True if save visualization images or video, or used in DeepSORT
  19. # for MOT video inference
  20. TestMOTDataset:
  21. !MOTImageFolder
  22. dataset_dir: dataset/mot
  23. keep_ori_im: True # set True if save visualization images or video
  24. # model config
  25. FairMOT:
  26. detector: CenterNet
  27. reid: FairMOTEmbeddingHead
  28. loss: FairMOTLoss
  29. tracker: JDETracker
  30. JDETracker:
  31. min_box_area: 0
  32. vertical_ratio: 0 # no need to filter bboxes according to w/h
  33. conf_thres: 0.4
  34. tracked_thresh: 0.4
  35. metric_type: cosine