fairmot_hrnetv2_w18_dlafpn_30e_576x320.yml 1.2 KB

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  1. _BASE_: [
  2. '../../../configs/datasets/mot.yml',
  3. '../../../configs/runtime.yml',
  4. '../../../configs/mot/fairmot/_base_/optimizer_30e_momentum.yml',
  5. '../../../configs/mot/fairmot/_base_/fairmot_hrnetv2_w18_dlafpn.yml',
  6. '../../../configs/mot/fairmot/_base_/fairmot_reader_576x320.yml',
  7. ]
  8. norm_type: sync_bn
  9. use_ema: true
  10. ema_decay: 0.9998
  11. # add crowdhuman
  12. TrainDataset:
  13. !MOTDataSet
  14. dataset_dir: dataset/mot
  15. image_lists: ['mot17.train', 'caltech.all', 'cuhksysu.train', 'prw.train', 'citypersons.train', 'eth.train']
  16. data_fields: ['image', 'gt_bbox', 'gt_class', 'gt_ide']
  17. worker_num: 4
  18. TrainReader:
  19. inputs_def:
  20. image_shape: [3, 320, 576]
  21. sample_transforms:
  22. - Decode: {}
  23. - RGBReverse: {}
  24. - AugmentHSV: {}
  25. - LetterBoxResize: {target_size: [320, 576]}
  26. - MOTRandomAffine: {reject_outside: False}
  27. - RandomFlip: {}
  28. - BboxXYXY2XYWH: {}
  29. - NormalizeBox: {}
  30. - NormalizeImage: {mean: [0, 0, 0], std: [1, 1, 1]}
  31. - RGBReverse: {}
  32. - Permute: {}
  33. batch_transforms:
  34. - Gt2FairMOTTarget: {}
  35. batch_size: 4
  36. shuffle: True
  37. drop_last: True
  38. use_shared_memory: True
  39. weights: output/fairmot_hrnetv2_w18_dlafpn_30e_576x320/model_final