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- Global:
- use_gpu: true
- epoch_num: 500
- log_smooth_window: 20
- print_batch_step: 10
- save_model_dir: ./output/rec_devanagari_lite
- save_epoch_step: 3
- eval_batch_step:
- - 0
- - 2000
- cal_metric_during_train: true
- pretrained_model: null
- checkpoints: null
- save_inference_dir: null
- use_visualdl: false
- infer_img: null
- character_dict_path: ppocr/utils/dict/devanagari_dict.txt
- max_text_length: 25
- infer_mode: false
- use_space_char: true
- Optimizer:
- name: Adam
- beta1: 0.9
- beta2: 0.999
- lr:
- name: Cosine
- learning_rate: 0.001
- regularizer:
- name: L2
- factor: 1.0e-05
- Architecture:
- model_type: rec
- algorithm: CRNN
- Transform: null
- Backbone:
- name: MobileNetV3
- scale: 0.5
- model_name: small
- small_stride:
- - 1
- - 2
- - 2
- - 2
- Neck:
- name: SequenceEncoder
- encoder_type: rnn
- hidden_size: 48
- Head:
- name: CTCHead
- fc_decay: 1.0e-05
- Loss:
- name: CTCLoss
- PostProcess:
- name: CTCLabelDecode
- Metric:
- name: RecMetric
- main_indicator: acc
- Train:
- dataset:
- name: SimpleDataSet
- data_dir: train_data/
- label_file_list:
- - train_data/devanagari_train.txt
- transforms:
- - DecodeImage:
- img_mode: BGR
- channel_first: false
- - RecAug: null
- - CTCLabelEncode: null
- - RecResizeImg:
- image_shape:
- - 3
- - 32
- - 320
- - KeepKeys:
- keep_keys:
- - image
- - label
- - length
- loader:
- shuffle: true
- batch_size_per_card: 256
- drop_last: true
- num_workers: 8
- Eval:
- dataset:
- name: SimpleDataSet
- data_dir: train_data/
- label_file_list:
- - train_data/devanagari_val.txt
- transforms:
- - DecodeImage:
- img_mode: BGR
- channel_first: false
- - CTCLabelEncode: null
- - RecResizeImg:
- image_shape:
- - 3
- - 32
- - 320
- - KeepKeys:
- keep_keys:
- - image
- - label
- - length
- loader:
- shuffle: false
- drop_last: false
- batch_size_per_card: 256
- num_workers: 8
|
