rec_chinese_lite_train.yml 1019 字节
Newer Older
T
tink2123 已提交
1 2
Global:
  algorithm: CRNN
T
tink2123 已提交
3
  use_gpu: true
T
tink2123 已提交
4 5 6 7 8 9 10 11
  epoch_num: 3000
  log_smooth_window: 20
  print_batch_step: 10
  save_model_dir: ./output/rec_CRNN
  save_epoch_step: 3
  eval_batch_step: 2000
  train_batch_size_per_card: 256
  test_batch_size_per_card: 256
T
tink2123 已提交
12
  image_shape: [3, 32, 320]
T
tink2123 已提交
13 14 15 16
  max_text_length: 25
  character_type: ch
  character_dict_path: ./ppocr/utils/ppocr_keys_v1.txt
  loss_type: ctc
T
tink2123 已提交
17
  distort: false
T
tink2123 已提交
18
  use_space_char: false
T
tink2123 已提交
19
  reader_yml: ./configs/rec/rec_chinese_reader.yml
T
tink2123 已提交
20
  pretrain_weights:
T
tink2123 已提交
21 22
  checkpoints:
  save_inference_dir:
T
tink2123 已提交
23 24
  infer_img:

T
tink2123 已提交
25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46
Architecture:
  function: ppocr.modeling.architectures.rec_model,RecModel

Backbone:
  function: ppocr.modeling.backbones.rec_mobilenet_v3,MobileNetV3
  scale: 0.5
  model_name: small

Head:
  function: ppocr.modeling.heads.rec_ctc_head,CTCPredict
  encoder_type: rnn
  SeqRNN:
    hidden_size: 48
    
Loss:
  function: ppocr.modeling.losses.rec_ctc_loss,CTCLoss

Optimizer:
  function: ppocr.optimizer,AdamDecay
  base_lr: 0.0005
  beta1: 0.9
  beta2: 0.999