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- Global:
- use_gpu: True
- epoch_num: 6
- log_smooth_window: 50
- print_batch_step: 50
- save_model_dir: ./output/rec/rec_r32_gaspin_bilstm_att/
- save_epoch_step: 3
- # evaluation is run every 2000 iterations after the 4000th iteration
- eval_batch_step: [0, 2000]
- cal_metric_during_train: True
- pretrained_model:
- checkpoints:
- save_inference_dir:
- use_visualdl: False
- infer_img: doc/imgs_words_en/word_10.png
- # for data or label process
- character_dict_path: ./ppocr/utils/dict/spin_dict.txt
- max_text_length: 25
- infer_mode: False
- use_space_char: False
- save_res_path: ./output/rec/predicts_r32_gaspin_bilstm_att.txt
- Optimizer:
- name: AdamW
- beta1: 0.9
- beta2: 0.999
- lr:
- name: Piecewise
- decay_epochs: [3, 4, 5]
- values: [0.001, 0.0003, 0.00009, 0.000027]
- clip_norm: 5
- Architecture:
- model_type: rec
- algorithm: SPIN
- in_channels: 1
- Transform:
- name: GA_SPIN
- offsets: True
- default_type: 6
- loc_lr: 0.1
- stn: True
- Backbone:
- name: ResNet32
- out_channels: 512
- Neck:
- name: SequenceEncoder
- encoder_type: cascadernn
- hidden_size: 256
- out_channels: [256, 512]
- with_linear: True
- Head:
- name: SPINAttentionHead
- hidden_size: 256
-
- Loss:
- name: SPINAttentionLoss
- ignore_index: 0
- PostProcess:
- name: SPINLabelDecode
- use_space_char: False
- Metric:
- name: RecMetric
- main_indicator: acc
- is_filter: True
- Train:
- dataset:
- name: SimpleDataSet
- data_dir: ./train_data/ic15_data/
- label_file_list: ["./train_data/ic15_data/rec_gt_train.txt"]
- transforms:
- - DecodeImage: # load image
- img_mode: BGR
- channel_first: False
- - SPINLabelEncode: # Class handling label
- - SPINRecResizeImg:
- image_shape: [100, 32]
- interpolation : 2
- mean: [127.5]
- std: [127.5]
- - KeepKeys:
- keep_keys: ['image', 'label', 'length'] # dataloader will return list in this order
- loader:
- shuffle: True
- batch_size_per_card: 8
- drop_last: True
- num_workers: 4
- Eval:
- dataset:
- name: SimpleDataSet
- data_dir: ./train_data/ic15_data
- label_file_list: ["./train_data/ic15_data/rec_gt_test.txt"]
- transforms:
- - DecodeImage: # load image
- img_mode: BGR
- channel_first: False
- - SPINLabelEncode: # Class handling label
- - SPINRecResizeImg:
- image_shape: [100, 32]
- interpolation : 2
- mean: [127.5]
- std: [127.5]
- - KeepKeys:
- keep_keys: ['image', 'label', 'length'] # dataloader will return list in this order
- loader:
- shuffle: False
- drop_last: False
- batch_size_per_card: 8
- num_workers: 2
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