resnet45_trans_rctc.yml 2.5 KB

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  1. Global:
  2. device: gpu
  3. epoch_num: 20
  4. log_smooth_window: 20
  5. print_batch_step: 10
  6. output_dir: ./output/rec/u14m_filter/resnet45_3en_rctc/
  7. eval_epoch_step: [0, 1]
  8. eval_batch_step: [0, 500]
  9. cal_metric_during_train: True
  10. pretrained_model:
  11. checkpoints:
  12. use_tensorboard: false
  13. infer_img:
  14. # for data or label process
  15. character_dict_path: &character_dict_path ./tools/utils/EN_symbol_dict.txt
  16. max_text_length: &max_text_length 25
  17. use_space_char: &use_space_char False
  18. save_res_path: ./output/rec/u14m_filter/predicts_svtr_tiny.txt
  19. use_amp: True
  20. Optimizer:
  21. name: AdamW
  22. lr: 0.00065 # for 4gpus bs256/gpu
  23. weight_decay: 0.0
  24. filter_bias_and_bn: False
  25. LRScheduler:
  26. name: OneCycleLR
  27. warmup_epoch: 1.5 # pct_start 0.075*20 = 1.5ep
  28. cycle_momentum: False
  29. Architecture:
  30. model_type: rec
  31. algorithm: SVTR
  32. Transform:
  33. Encoder:
  34. name: ResNet45
  35. in_channels: 3
  36. strides: [2, 1, 2, 1, 1]
  37. last_stage: False
  38. # out_channels: 256
  39. trans_layer: 3
  40. Decoder:
  41. name: RCTCDecoder
  42. Loss:
  43. name: CTCLoss
  44. zero_infinity: True
  45. PostProcess:
  46. name: CTCLabelDecode
  47. character_dict_path: *character_dict_path
  48. use_space_char: *use_space_char
  49. Metric:
  50. name: RecMetric
  51. main_indicator: acc
  52. is_filter: True
  53. Train:
  54. dataset:
  55. name: LMDBDataSet
  56. data_dir: ../Union14M-L-LMDB-Filtered
  57. transforms:
  58. - DecodeImagePIL: # load image
  59. img_mode: RGB
  60. - PARSeqAugPIL:
  61. - CTCLabelEncode: # Class handling label
  62. character_dict_path: *character_dict_path
  63. use_space_char: *use_space_char
  64. max_text_length: *max_text_length
  65. - RecTVResize:
  66. image_shape: [32, 128]
  67. padding: False
  68. - KeepKeys:
  69. keep_keys: ['image', 'label', 'length'] # dataloader will return list in this order
  70. loader:
  71. shuffle: True
  72. batch_size_per_card: 256
  73. drop_last: True
  74. num_workers: 4
  75. Eval:
  76. dataset:
  77. name: LMDBDataSet
  78. data_dir: ../evaluation/
  79. transforms:
  80. - DecodeImagePIL: # load image
  81. img_mode: RGB
  82. - CTCLabelEncode: # Class handling label
  83. character_dict_path: *character_dict_path
  84. use_space_char: *use_space_char
  85. max_text_length: *max_text_length
  86. - RecTVResize:
  87. image_shape: [32, 128]
  88. padding: False
  89. - KeepKeys:
  90. keep_keys: ['image', 'label', 'length'] # dataloader will return list in this order
  91. loader:
  92. shuffle: False
  93. drop_last: False
  94. batch_size_per_card: 256
  95. num_workers: 2