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Running
| Global: | |
| device: gpu | |
| epoch_num: 60 | |
| log_smooth_window: 20 | |
| print_batch_step: 10 | |
| output_dir: ./output/rec/syn/svtr_base_cppd/ | |
| save_epoch_step: 1 | |
| # evaluation is run every 2000 iterations | |
| eval_batch_step: [0, 500] | |
| eval_epoch_step: [0, 1] | |
| cal_metric_during_train: True | |
| pretrained_model: | |
| checkpoints: | |
| use_tensorboard: false | |
| infer_img: | |
| # for data or label process | |
| 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/syn/predicts_svtr_base_cppd.txt | |
| use_amp: True | |
| Optimizer: | |
| name: AdamW | |
| lr: 0.0005 # for 4gpus bs256/gpu | |
| weight_decay: 0.05 | |
| filter_bias_and_bn: True | |
| LRScheduler: | |
| name: CosineAnnealingLR | |
| warmup_epoch: 6 | |
| Architecture: | |
| model_type: rec | |
| algorithm: CPPD | |
| in_channels: 3 | |
| Transform: | |
| Encoder: | |
| name: SVTRNet | |
| img_size: [32, 100] | |
| out_char_num: 25 | |
| out_channels: 256 | |
| patch_merging: 'Conv' | |
| embed_dim: [128, 256, 384] | |
| depth: [6, 6, 4] | |
| 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]] | |
| last_stage: False | |
| prenorm: True | |
| Decoder: | |
| name: CPPDDecoder | |
| vis_seq: 50 | |
| num_layer: 3 | |
| pos_len: False | |
| rec_layer: 1 | |
| Loss: | |
| name: CPPDLoss | |
| ignore_index: 100 | |
| smoothing: True | |
| pos_len: False | |
| sideloss_weight: 1.0 | |
| PostProcess: | |
| name: CPPDLabelDecode | |
| character_dict_path: | |
| use_space_char: | |
| Metric: | |
| name: RecMetric | |
| main_indicator: acc | |
| Train: | |
| dataset: | |
| name: STRLMDBDataSet | |
| data_dir: ./ | |
| transforms: | |
| - DecodeImage: # load image | |
| img_mode: BGR | |
| channel_first: False | |
| # - SVTRRAug: | |
| - CPPDLabelEncode: # Class handling label | |
| pos_len: False | |
| character_dict_path: | |
| use_space_char: | |
| max_text_length: | |
| - SVTRResize: | |
| image_shape: [3, 32, 100] | |
| padding: False | |
| - KeepKeys: | |
| keep_keys: ['image', 'label', 'label_node', 'length'] # dataloader will return list in this order | |
| loader: | |
| shuffle: True | |
| batch_size_per_card: 256 | |
| drop_last: True | |
| num_workers: 8 | |
| Eval: | |
| dataset: | |
| name: LMDBDataSet | |
| data_dir: ../evaluation/ | |
| transforms: | |
| - DecodeImage: # load image | |
| img_mode: BGR | |
| channel_first: False | |
| - CPPDLabelEncode: # Class handling label | |
| pos_len: False | |
| character_dict_path: | |
| use_space_char: | |
| max_text_length: | |
| - SVTRResize: | |
| image_shape: [3, 32, 100] | |
| padding: False | |
| - KeepKeys: | |
| keep_keys: ['image', 'label', 'label_node', 'length'] # dataloader will return list in this order | |
| loader: | |
| shuffle: False | |
| drop_last: False | |
| batch_size_per_card: 256 | |
| num_workers: 4 | |