train_db_hyp.yaml 932 B

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  1. data:
  2. train_img_dir: 'dataset/train'
  3. train_mask_dir: ''
  4. val_img_dir: 'dataset/val'
  5. val_mask_dir: ''
  6. imgsz: 1024
  7. augment: True
  8. num_workers: 8
  9. cache: True
  10. aug_param:
  11. hsv: 0.3
  12. mini_mosaic: 0.7
  13. flip_lr: 0.5
  14. neg: 0.3
  15. size_range: [0.85, 1.1]
  16. rotate: 0.33
  17. rotate_range: [-70, 70]
  18. save_dir: 'results'
  19. train:
  20. epochs: 160
  21. linear_lr: False
  22. optimizer: 'adam'
  23. batch_size: 4
  24. lr0: 0.01
  25. lrf: 0.002
  26. warm_up: True
  27. momentum: 0.937
  28. weight_decay: 0.00002
  29. warmup_epochs: 3.0 # warmup epochs (fractions ok)
  30. warmup_momentum: 0.8 # warmup initial momentum
  31. warmup_bias_lr: 0.1 # warmup initial bias lr
  32. eval_interval: 1
  33. loss: 'bce'
  34. accumulation_steps: 4
  35. model:
  36. weights: 'data/yolov5sblk.ckpt'
  37. unet_weights: 'data/unet_best.ckpt'
  38. db_weights: ''
  39. act: 'leaky'
  40. logger:
  41. type: 'wandb'
  42. run_id: ''
  43. project: 'TextDetectDB'
  44. resume:
  45. resume_training: False
  46. ckpt: ''