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182 lines
3.8 KiB
182 lines
3.8 KiB
Global:
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model_name: SLANeXt_wireless # To use static model for inference.
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use_gpu: true
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epoch_num: 400
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log_smooth_window: 20
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print_batch_step: 20
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save_model_dir: ./output/SLANeXt_wireless
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save_epoch_step: 400
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eval_batch_step:
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- 0
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- 331
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cal_metric_during_train: true
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pretrained_model: "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/SLANeXt_wireless_pretrained.pdparams"
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checkpoints: null
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save_inference_dir: ./output/SLANeXt_wireless/infer
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use_visualdl: false
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infer_img: ppstructure/docs/table/table.jpg
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character_dict_path: ppocr/utils/dict/table_structure_dict_ch.txt
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character_type: en
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max_text_length: 500
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box_format: xyxyxyxy
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infer_mode: false
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use_sync_bn: true
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save_res_path: output/infer
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d2s_train_image_shape: [3, 512, 512]
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Optimizer:
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name: AdamW
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beta1: 0.9
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beta2: 0.999
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clip_norm: 5.0
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lr:
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name: Cosine
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learning_rate: 0.0001
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warmup_epoch: 1
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regularizer:
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name: L2
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factor: 0.0
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Architecture:
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model_type: table
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algorithm: SLANeXt
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Backbone:
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name: Vary_VIT_B
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image_size: 512
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encoder_embed_dim: 768
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encoder_depth: 12
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encoder_num_heads: 12
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encoder_global_attn_indexes: [2, 5, 8, 11]
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Head:
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name: SLAHead
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hidden_size: 512
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max_text_length: 500
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loc_reg_num: 8
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Loss:
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name: SLALoss
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structure_weight: 1.0
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# SLANeXt does not train the cell location task by default, set the loc_weight if needed.
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loc_weight: 0.0
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loc_loss: smooth_l1
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PostProcess:
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name: TableLabelDecode
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merge_no_span_structure: true
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Metric:
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name: TableMetric
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main_indicator: acc
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compute_bbox_metric: false
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loc_reg_num: 8
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box_format: xyxyxyxy
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del_thead_tbody: true
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Train:
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dataset:
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name: PubTabDataSet
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data_dir: train_data/table/train/
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label_file_list:
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- train_data/table/train.txt
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ratio_list:
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- 1
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transforms:
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- DecodeImage:
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img_mode: BGR
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channel_first: false
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- TableLabelEncode:
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learn_empty_box: false
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merge_no_span_structure: true
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replace_empty_cell_token: false
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loc_reg_num: 8
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max_text_length: 500
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- TableBoxEncode:
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in_box_format: xyxyxyxy
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out_box_format: xyxyxyxy
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- ResizeTableImage:
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max_len: 512
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resize_bboxes: true
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- NormalizeImage:
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scale: 1./255.
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mean:
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- 0.485
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- 0.456
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- 0.406
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std:
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- 0.229
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- 0.224
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- 0.225
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order: hwc
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- PaddingTableImage:
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size:
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- 512
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- 512
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- ToCHWImage: null
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- KeepKeys:
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keep_keys:
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- image
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- structure
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- bboxes
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- bbox_masks
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- length
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- shape
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loader:
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shuffle: true
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batch_size_per_card: 48
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drop_last: true
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num_workers: 1
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Eval:
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dataset:
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name: PubTabDataSet
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data_dir: train_data/table/val/
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label_file_list:
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- train_data/table/val.txt
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transforms:
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- DecodeImage:
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img_mode: BGR
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channel_first: false
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- TableLabelEncode:
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learn_empty_box: false
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merge_no_span_structure: true
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replace_empty_cell_token: false
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loc_reg_num: 8
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max_text_length: 500
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- TableBoxEncode:
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in_box_format: xyxyxyxy
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out_box_format: xyxyxyxy
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- ResizeTableImage:
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max_len: 512
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resize_bboxes: true
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- NormalizeImage:
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scale: 1./255.
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mean:
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- 0.485
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- 0.456
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- 0.406
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std:
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- 0.229
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- 0.224
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- 0.225
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order: hwc
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- PaddingTableImage:
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size:
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- 512
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- 512
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- ToCHWImage: null
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- KeepKeys:
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keep_keys:
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- image
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- structure
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- bboxes
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- bbox_masks
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- length
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- shape
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loader:
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shuffle: false
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drop_last: false
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batch_size_per_card: 48
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num_workers: 1
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profiler_options: null
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