mcfairmot_hrnetv2_w18_dlafpn_30e_864x480_visdrone.yml 936 B

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  1. _BASE_: [
  2. '../fairmot/fairmot_hrnetv2_w18_dlafpn_30e_864x480.yml',
  3. '../../datasets/mcmot.yml'
  4. ]
  5. architecture: FairMOT
  6. pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/HRNet_W18_C_pretrained.pdparams
  7. for_mot: True
  8. FairMOT:
  9. detector: CenterNet
  10. reid: FairMOTEmbeddingHead
  11. loss: FairMOTLoss
  12. tracker: JDETracker # multi-class tracker
  13. CenterNetHead:
  14. regress_ltrb: False
  15. CenterNetPostProcess:
  16. regress_ltrb: False
  17. max_per_img: 200
  18. JDETracker:
  19. min_box_area: 0
  20. vertical_ratio: 0 # no need to filter bboxes according to w/h
  21. conf_thres: 0.4
  22. tracked_thresh: 0.4
  23. metric_type: cosine
  24. weights: output/mcfairmot_hrnetv2_w18_dlafpn_30e_864x480_visdrone/model_final
  25. epoch: 30
  26. LearningRate:
  27. base_lr: 0.0005
  28. schedulers:
  29. - !PiecewiseDecay
  30. gamma: 0.1
  31. milestones: [10, 20]
  32. use_warmup: False
  33. OptimizerBuilder:
  34. optimizer:
  35. type: Adam
  36. regularizer: NULL
  37. TrainReader:
  38. batch_size: 8