config.yml

Global:
  use_gpu: false
  epoch_num: 50
  log_smooth_window: 20
  print_batch_step: 10
  save_model_dir: /content/paddleocr_kabyle/output/rec_kabyle
  save_epoch_step: 5
  eval_batch_step: [0, 200]
  cal_metric_during_train: true
  character_dict_path: /content/paddleocr_kabyle/PaddleOCR/ppocr/utils/kab_dict.txt
  max_text_length: 25
  infer_mode: false
  use_space_char: true
  distributed: false

Optimizer:
  name: Adam
  lr:
    name: Cosine
    learning_rate: 0.001
    warmup_epoch: 3
  regularizer:
    name: L2
    factor: 3e-5

Architecture:
  model_type: rec
  algorithm: CRNN

  Transform:

  Backbone:
    name: MobileNetV1Enhance
    scale: 0.5

  Neck:
    name: SequenceEncoder
    encoder_type: rnn
    hidden_size: 256

  Head:
    name: CTCHead

Loss:
  name: CTCLoss

PostProcess:
  name: CTCLabelDecode

Metric:
  name: RecMetric
  main_indicator: acc

Train:
  dataset:
    name: SimpleDataSet
    data_dir: /content/paddleocr_kabyle/train_data
    label_file_list: ["/content/paddleocr_kabyle/train_data/rec_gt_train.txt"]
    transforms:
      - DecodeImage:
          img_mode: BGR
      - CTCLabelEncode:
      - RecResizeImg:
          image_shape: [3, 48, 480]
      - KeepKeys:
          keep_keys: ["image", "label", "length"]
  loader:
    shuffle: true
    batch_size_per_card: 16
    drop_last: true
    num_workers: 0

Eval:
  dataset:
    name: SimpleDataSet
    data_dir: /content/paddleocr_kabyle/train_data
    label_file_list: ["/content/paddleocr_kabyle/train_data/rec_gt_val.txt"]
    transforms:
      - DecodeImage:
          img_mode: BGR
      - CTCLabelEncode:
      - RecResizeImg:
          image_shape: [3, 48, 480]
      - KeepKeys:
          keep_keys: ["image", "label", "length"]
  loader:
    shuffle: false
    batch_size_per_card: 16
    drop_last: false
    num_workers: 0