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yidong infer init  
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Global:
  use_gpu: true
  epoch_num: 5
  log_smooth_window: 20
  print_batch_step: 50
  save_model_dir: ./output/rec/rec_satrn/
  save_epoch_step: 1
  # evaluation is run every 5000 iterations
  eval_batch_step: [0, 5000]
  cal_metric_during_train: False
  pretrained_model:
  checkpoints:
  save_inference_dir:
  use_visualdl: False
  infer_img: 
  # for data or label process
  character_dict_path: ppocr/utils/dict90.txt
  max_text_length: 25
  infer_mode: False
  use_space_char: False
  rm_symbol: True
  save_res_path: ./output/rec/predicts_satrn.txt

Optimizer:
  name: Adam
  beta1: 0.9
  beta2: 0.999
  lr:
    name: Piecewise
    decay_epochs: [3, 4]
    values: [0.0003, 0.00003, 0.000003] 
  regularizer:
    name: 'L2'
    factor: 0

Architecture:
  model_type: rec
  algorithm: SATRN
  Backbone:
    name: ShallowCNN
    in_channels: 3
    hidden_dim: 256
  Head:
    name: SATRNHead
    enc_cfg:
      n_layers: 6
      n_head: 8
      d_k: 32
      d_v: 32
      d_model: 256
      n_position: 100
      d_inner: 1024
      dropout: 0.1
    dec_cfg:
      n_layers: 6
      d_embedding: 256
      n_head: 8
      d_model: 256
      d_inner: 1024
      d_k: 32
      d_v: 32
      max_seq_len: 25
      start_idx: 91

Loss:
  name: SATRNLoss

PostProcess:
  name: SATRNLabelDecode

Metric:
  name: RecMetric
  main_indicator: acc

Train:
  dataset:
    name: LMDBDataSet
    data_dir: ./train_data/data_lmdb_release/training/
    transforms:
      - DecodeImage: # load image
          img_mode: BGR
          channel_first: False
      - SATRNLabelEncode: # Class handling label
      - SVTRRecResizeImg:
          image_shape: [3, 32, 100] 
          padding: False
      - KeepKeys:
          keep_keys: ['image', 'label', 'valid_ratio'] # dataloader will return list in this order
  loader:
    shuffle: True
    batch_size_per_card: 128
    drop_last: True
    num_workers: 8
    use_shared_memory: False

Eval:
  dataset:
    name: LMDBDataSet
    data_dir: ./train_data/data_lmdb_release/evaluation/
    transforms:
      - DecodeImage: # load image
          img_mode: BGR
          channel_first: False
      - SATRNLabelEncode: # Class handling label
      - SVTRRecResizeImg:
          image_shape: [3, 32, 100] 
          padding: False
      - KeepKeys:
          keep_keys: ['image', 'label', 'valid_ratio'] # dataloader will return list in this order
  
  loader:
    shuffle: False
    drop_last: False
    batch_size_per_card: 128 
    num_workers: 4
    use_shared_memory: False