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- Global:
- device: gpu
- epoch_num: 10
- log_smooth_window: 20
- print_batch_step: 10
- output_dir: ./output/rec/u14m_filter/vit_nrtr_ft_mae/
- save_epoch_step: [15, 1]
- # evaluation is run every 2000 iterations
- eval_batch_step: [0, 500]
- eval_epoch_step: [0, 1]
- cal_metric_during_train: True
- pretrained_model:
- # ./open_ocr_vit_small_params.pth
- checkpoints:
- use_tensorboard: false
- infer_img:
- # for data or label process
- character_dict_path: &character_dict_path ./tools/utils/EN_symbol_dict.txt # 96en
- # ./tools/utils/ppocr_keys_v1.txt # ch
- max_text_length: &max_text_length 25
- use_space_char: &use_space_char False
- save_res_path: ./output/rec/u14m_filter/predicts_vit_nrtr_ft_mae.txt
- use_amp: True
- project_name: maerec
- Optimizer:
- name: AdamW
- lr: 0.00065 # for 4gpus bs256/gpu
- weight_decay: 0.05
- filter_bias_and_bn: True
- LRScheduler:
- name: OneCycleLR
- warmup_epoch: 1.5 # pct_start 0.075*20 : 1.5ep
- cycle_momentum: False
- Architecture:
- model_type: rec
- algorithm: BGPD
- in_channels: 3
- Transform:
- Encoder:
- name: ViT
- img_size: [32, 128]
- patch_size: [4, 4]
- embed_dim: 384
- depth: 12
- num_heads: 6
- mlp_ratio: 4
- qkv_bias: True
- use_cls_token: True
- Decoder:
- name: NRTRDecoder
- num_encoder_layers: -1
- beam_size: 0
- num_decoder_layers: 6
- nhead: 8
- max_len: *max_text_length
- Loss:
- name: ARLoss
- PostProcess:
- name: ARLabelDecode
- character_dict_path: *character_dict_path
- use_space_char: *use_space_char
- Metric:
- name: RecMetric
- main_indicator: acc
- is_filter: True
- Train:
- dataset:
- name: LMDBDataSet
- data_dir: ../Union14M-L-LMDB-Filtered
- transforms:
- - DecodeImagePIL: # load image
- img_mode: RGB
- - PARSeqAugPIL:
- - ARLabelEncode: # Class handling label
- character_dict_path: *character_dict_path
- use_space_char: *use_space_char
- max_text_length: *max_text_length
- - RecTVResize:
- image_shape: [32, 128]
- padding: False
- - KeepKeys:
- keep_keys: ['image', 'label', 'length'] # dataloader will return list in this order
- loader:
- shuffle: True
- batch_size_per_card: 256
- drop_last: True
- num_workers: 4
- Eval:
- dataset:
- name: LMDBDataSet
- data_dir: ../evaluation/
- transforms:
- - DecodeImagePIL: # load image
- img_mode: RGB
- - ARLabelEncode: # Class handling label
- character_dict_path: *character_dict_path
- use_space_char: *use_space_char
- max_text_length: *max_text_length
- - RecTVResize:
- image_shape: [32, 128]
- padding: False
- - KeepKeys:
- keep_keys: ['image', 'label', 'length'] # dataloader will return list in this order
- loader:
- shuffle: False
- drop_last: False
- batch_size_per_card: 256
- num_workers: 4
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