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- Global:
- use_gpu: True
- epoch_num: 20
- log_smooth_window: 20
- print_batch_step: 5
- save_model_dir: ./output/rec/parseq
- save_epoch_step: 3
- # evaluation is run every 5000 iterations after the 4000th iteration
- eval_batch_step: [0, 500]
- 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/parseq_dict.txt
- character_type: en
- max_text_length: 25
- num_heads: 8
- infer_mode: False
- use_space_char: False
- save_res_path: ./output/rec/predicts_parseq.txt
- Optimizer:
- name: Adam
- beta1: 0.9
- beta2: 0.999
- lr:
- name: OneCycle
- max_lr: 0.0007
- Architecture:
- model_type: rec
- algorithm: ParseQ
- in_channels: 3
- Transform:
- Backbone:
- name: ViTParseQ
- img_size: [32, 128]
- patch_size: [4, 8]
- embed_dim: 384
- depth: 12
- num_heads: 6
- mlp_ratio: 4
- in_channels: 3
- Head:
- name: ParseQHead
- # Architecture
- max_text_length: 25
- embed_dim: 384
- dec_num_heads: 12
- dec_mlp_ratio: 4
- dec_depth: 1
- # Training
- perm_num: 6
- perm_forward: true
- perm_mirrored: true
- dropout: 0.1
- # Decoding mode (test)
- decode_ar: true
- refine_iters: 1
- Loss:
- name: ParseQLoss
- PostProcess:
- name: ParseQLabelDecode
- Metric:
- name: RecMetric
- main_indicator: acc
- is_filter: True
- Train:
- dataset:
- name: LMDBDataSet
- data_dir:
- transforms:
- - DecodeImage: # load image
- img_mode: BGR
- channel_first: False
- - ParseQRecAug:
- aug_type: 0 # or 1
- - ParseQLabelEncode:
- - SVTRRecResizeImg:
- image_shape: [3, 32, 128]
- padding: False
- - KeepKeys:
- keep_keys: ['image', 'label', 'length'] # dataloader will return list in this order
- loader:
- shuffle: True
- batch_size_per_card: 192
- drop_last: True
- num_workers: 4
- Eval:
- dataset:
- name: LMDBDataSet
- data_dir:
- transforms:
- - DecodeImage: # load image
- img_mode: BGR
- channel_first: False
- - ParseQLabelEncode: # Class handling label
- - SVTRRecResizeImg:
- image_shape: [3, 32, 128]
- padding: False
- - KeepKeys:
- keep_keys: ['image', 'label', 'length']
- loader:
- shuffle: False
- drop_last: False
- batch_size_per_card: 384
- num_workers: 4
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