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- Global:
- device: gpu
- epoch_num: 20
- log_smooth_window: 20
- print_batch_step: 10
- output_dir: ./output/rec/u14m_filter/svtr_base_lpv/
- 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:
- # ./output/rec/u14m_filter/svtr_base_lpv_wo_glrm/best.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_svtr_lpv.txt
- use_amp: True
- grad_clip_val: 20
- Optimizer:
- name: Adam
- lr: 0.0001 # for 4gpus bs128/gpu
- weight_decay: 0.0
- filter_bias_and_bn: False
- betas: [0.9, 0.99]
- LRScheduler:
- name: MultiStepLR
- milestones: [12]
- gamma: 0.1
- Architecture:
- model_type: rec
- algorithm: LPV
- in_channels: 3
- Transform:
- Encoder:
- name: SVTRNet
- img_size: [32, 128]
- out_char_num: 25
- out_channels: 256
- patch_merging: 'Conv'
- embed_dim: [128, 256, 384]
- depth: [6, 6, 6]
- num_heads: [4, 8, 12]
- mixer: ['Conv','Conv','Conv','Conv','Conv','Conv', 'Conv','Conv', 'Global','Global','Global','Global','Global','Global','Global','Global','Global','Global']
- local_mixer: [[5, 5], [5, 5], [5, 5]]
- sub_k: [[1, 1], [1, 1]]
- feature2d: True
- last_stage: False
- prenorm: True
- Decoder:
- name: LPVDecoder
- num_layer: 3
- max_len: *max_text_length
- use_mask: True
- dim_feedforward: 1536
- nhead: 12
- dropout: 0.1
- trans_layer: 3
- Loss:
- name: LPVLoss
- 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: 128
- 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: 128
- num_workers: 4
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