OpenOCR/configs/rec/cppd/svtr_base_cppd_syn.yml at main · Topdu/OpenOCR · GitHub

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Global:
  device: gpu
  epoch_num: 60
  log_smooth_window: 20
  print_batch_step: 10
  output_dir: ./output/rec/syn/svtr_base_cppd/
  save_epoch_step: [15, 1]
  # evaluation is run every 2000 iterations
  eval_batch_step: [0, 500]
  eval_epoch_step: [0, 1]
  cal_metric_during_train: True
  pretrained_model:
  checkpoints:
  use_tensorboard: false
  infer_img:
  # for data or label process
  character_dict_path: &character_dict_path
  # ./tools/utils/EN_symbol_dict.txt # 96en
  # ./tools/utils/ppocr_keys_v1.txt  # ch
  max_text_length: &max_text_length 25
  use_space_char: &use_space_char False
  save_res_path: ./output/rec/syn/predicts_svtr_base_cppd.txt
  use_amp: True

Optimizer:
  name: AdamW
  lr: 0.0005 # for 4gpus bs256/gpu
  weight_decay: 0.05
  filter_bias_and_bn: True

LRScheduler:
  name: CosineAnnealingLR
  warmup_epoch: 6

Architecture:
  model_type: rec
  algorithm: CPPD
  in_channels: 3
  Transform:
  Encoder:
    name: SVTRNet
    img_size: [32, 100]
    out_char_num: 25
    out_channels: 256
    patch_merging: 'Conv'
    embed_dim: [128, 256, 384]
    depth: [6, 6, 4]
    num_heads: [4, 8, 12]
    mixer: ['Conv','Conv','Conv','Conv','Conv','Conv', 'Conv','Conv', 'Global','Global','Global','Global','Global','Global','Global','Global','Global','Global']
    local_mixer: [[5, 5], [5, 5], [5, 5]]
    last_stage: False
    prenorm: True
  Decoder:
    name: CPPDDecoder
    vis_seq: 50
    num_layer: 3
    pos_len: False
    rec_layer: 1


Loss:
  name: CPPDLoss
  ignore_index: 100
  smoothing: True
  pos_len: False
  sideloss_weight: 1.0

PostProcess:
  name: CPPDLabelDecode
  character_dict_path: *character_dict_path
  use_space_char: *use_space_char

Metric:
  name: RecMetric
  main_indicator: acc

Train:
  dataset:
    name: STRLMDBDataSet
    data_dir: ./
    transforms:
      - DecodeImage: # load image
          img_mode: BGR
          channel_first: False
    #   - SVTRRAug:
      - CPPDLabelEncode: # Class handling label
          pos_len: False
          character_dict_path: *character_dict_path
          use_space_char: *use_space_char
          max_text_length: *max_text_length
      - SVTRResize:
          image_shape: [3, 32, 100]
          padding: False
      - KeepKeys:
          keep_keys: ['image', 'label', 'label_node', 'length'] # dataloader will return list in this order
  loader:
    shuffle: True
    batch_size_per_card: 256
    drop_last: True
    num_workers: 8

Eval:
  dataset:
    name: LMDBDataSet
    data_dir: ../evaluation/
    transforms:
      - DecodeImage: # load image
          img_mode: BGR
          channel_first: False
      - CPPDLabelEncode: # Class handling label
          pos_len: False
          character_dict_path: *character_dict_path
          use_space_char: *use_space_char
          max_text_length: *max_text_length
      - SVTRResize:
          image_shape: [3, 32, 100]
          padding: False
      - KeepKeys:
          keep_keys: ['image', 'label', 'label_node', 'length'] # dataloader will return list in this order
  loader:
    shuffle: False
    drop_last: False
    batch_size_per_card: 256
    num_workers: 4