Global:
  debug: false
  use_gpu: true
  epoch_num: 25
  log_smooth_window: 20
  print_batch_step: 50
  save_model_dir: ./output/final_e25
  save_epoch_step: 14
  eval_batch_step:
  - 0
  - 697
  cal_metric_during_train: true
  pretrained_model: ./models/latin_PP-OCRv3_rec_train/best_accuracy
  checkpoints: null
  save_inference_dir: ./inference/final
  use_visualdl: false
  infer_img: doc/imgs_words/ch/word_1.jpg
  character_dict_path: ppocr/utils/dict/latin_dict.txt
  max_text_length: 25
  infer_mode: false
  use_space_char: true
  distributed: true
  save_res_path: ./output/rec/predicts_ppocrv3.txt
  seed: 42
Optimizer:
  name: Adam
  beta1: 0.9
  beta2: 0.999
  lr:
    name: Cosine
    learning_rate: 0.001
    warmup_epoch: 5
  regularizer:
    name: L2
    factor: 3.0e-05
Architecture:
  model_type: rec
  algorithm: SVTR
  Transform: null
  Backbone:
    name: MobileNetV1Enhance
    scale: 0.5
    last_conv_stride:
    - 1
    - 2
    last_pool_type: avg
  Head:
    name: MultiHead
    head_list:
    - CTCHead:
        Neck:
          name: svtr
          dims: 64
          depth: 2
          hidden_dims: 120
          use_guide: true
        Head:
          fc_decay: 1.0e-05
    - SARHead:
        enc_dim: 512
        max_text_length: 25
Loss:
  name: MultiLoss
  loss_config_list:
  - CTCLoss: null
  - SARLoss: null
PostProcess:
  name: CTCLabelDecode
Metric:
  name: RecMetric
  main_indicator: acc
  keep_space: false
Train:
  dataset:
    name: SimpleDataSet
    data_dir: /data/AIDA/iter4/rivikuvat
    label_file_list:
    - /data/AIDA/iter4/annot/train_kone_best_iter2_14_02_24.txt
    - /data/AIDA/iter4/annot/train_kone_best_iter3_04_03_24.txt
    - /data/AIDA/iter4/annot/train_sini3_2_19_03_kone_best.txt
    - /data/AIDA/iter4/annot/train_kasi_best_iter2_14_2_24.txt
    - /data/AIDA/iter4/annot/train_kasi_best_iter3_04_03_24.txt
    - /data/AIDA/iter4/annot/train_sini3_2_19_03_kasi_best.txt
    - /data/AIDA/iter4/annot/normaali_16k_train.txt
    - /data/AIDA/iter4/annot/shaken_train.txt
    - /data/AIDA/iter4/annot/noise_k5_train.txt
    - /data/AIDA/iter4/annot/noise_k5_sin_train.txt
    transforms:
    - DecodeImage:
        img_mode: BGR
        channel_first: false
    - RecAug:
        reverse_prob: 0.25
        noise_prob: 0.25
        blur_prob: 0.25
        hsv_aug_prob: 0.25
    - MultiLabelEncode: null
    - SARRecResizeImg:
        image_shape:
        - 3
        - 48
        - 48
        - 320
        width_downsample_ratio: 0.25
        mode: v3
    - KeepKeys:
        keep_keys:
        - image
        - label_ctc
        - label_sar
        - length
        - valid_ratio
  loader:
    shuffle: true
    batch_size_per_card: 128
    drop_last: true
    num_workers: 22
Eval:
  dataset:
    name: SimpleDataSet
    data_dir: /data/AIDA/iter4/rivikuvat
    label_file_list:
    - /data/AIDA/iter4/annot/valid_kone_best_iter2_filttered_14_2_24.txt
    - /data/AIDA/iter4/annot/valid_kone_best_iter3_04_03_24.txt
    - /data/AIDA/iter4/annot/valid_sini3_2_19_03_kone_best.txt
    transforms:
    - DecodeImage:
        img_mode: BGR
        channel_first: false
    - MultiLabelEncode: null
    - SARRecResizeImg:
        image_shape:
        - 3
        - 48
        - 48
        - 320
        width_downsample_ratio: 0.25
        mode: v3
    - KeepKeys:
        keep_keys:
        - image
        - label_ctc
        - label_sar
        - length
        - valid_ratio
  loader:
    shuffle: false
    drop_last: false
    batch_size_per_card: 128
    num_workers: 16
profiler_options: null