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test_tipc/configs/table_master/table_master.yml
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133
test_tipc/configs/table_master/table_master.yml
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Global:
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use_gpu: true
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epoch_num: 17
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log_smooth_window: 20
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print_batch_step: 100
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save_model_dir: ./output/table_master/
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save_epoch_step: 17
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eval_batch_step: [0, 6259]
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cal_metric_during_train: false
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pretrained_model: null
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checkpoints:
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save_inference_dir: output/table_master/infer
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use_visualdl: false
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infer_img: ppstructure/docs/table/table.jpg
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save_res_path: ./output/table_master
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character_dict_path: ppocr/utils/dict/table_master_structure_dict.txt
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infer_mode: false
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max_text_length: 500
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d2s_train_image_shape: [3, 480, 480]
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Optimizer:
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name: Adam
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beta1: 0.9
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beta2: 0.999
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lr:
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name: MultiStepDecay
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learning_rate: 0.001
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milestones: [12, 15]
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gamma: 0.1
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warmup_epoch: 0.02
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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: TableMaster
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Backbone:
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name: TableResNetExtra
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gcb_config:
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ratio: 0.0625
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headers: 1
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att_scale: False
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fusion_type: channel_add
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layers: [False, True, True, True]
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layers: [1,2,5,3]
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Head:
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name: TableMasterHead
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hidden_size: 512
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headers: 8
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dropout: 0
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d_ff: 2024
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max_text_length: 500
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Loss:
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name: TableMasterLoss
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ignore_index: 42 # set to len of dict + 3
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PostProcess:
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name: TableMasterLabelDecode
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box_shape: pad
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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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Train:
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dataset:
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name: LMDBDataSetTableMaster
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data_dir: train_data/StructureLabel_val_500/
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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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- TableMasterLabelEncode:
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learn_empty_box: False
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merge_no_span_structure: False
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replace_empty_cell_token: True
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- ResizeTableImage:
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max_len: 480
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resize_bboxes: True
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- PaddingTableImage:
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size: [480, 480]
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- TableBoxEncode:
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box_format: 'xywh'
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- NormalizeImage:
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scale: 1./255.
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mean: [0.5, 0.5, 0.5]
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std: [0.5, 0.5, 0.5]
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order: hwc
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- ToCHWImage: null
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- KeepKeys:
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keep_keys: [image, structure, bboxes, bbox_masks, shape]
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loader:
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shuffle: True
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batch_size_per_card: 10
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drop_last: True
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num_workers: 8
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Eval:
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dataset:
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name: LMDBDataSetTableMaster
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data_dir: train_data/StructureLabel_val_500/
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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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- TableMasterLabelEncode:
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learn_empty_box: False
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merge_no_span_structure: False
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replace_empty_cell_token: True
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- ResizeTableImage:
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max_len: 480
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resize_bboxes: True
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- PaddingTableImage:
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size: [480, 480]
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- TableBoxEncode:
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box_format: 'xywh'
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- NormalizeImage:
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scale: 1./255.
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mean: [0.5, 0.5, 0.5]
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std: [0.5, 0.5, 0.5]
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order: hwc
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- ToCHWImage: null
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- KeepKeys:
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keep_keys: [image, structure, bboxes, bbox_masks, 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: 10
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num_workers: 8
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61
test_tipc/configs/table_master/train_infer_python.txt
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61
test_tipc/configs/table_master/train_infer_python.txt
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===========================train_params===========================
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model_name:table_master
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python:python3.7
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gpu_list:0|0,1
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Global.use_gpu:True|True
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Global.auto_cast:fp32
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Global.epoch_num:lite_train_lite_infer=1|whole_train_whole_infer=17
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Global.save_model_dir:./output/
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Train.loader.batch_size_per_card:lite_train_lite_infer=2|whole_train_whole_infer=4
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Global.pretrained_model:./pretrain_models/table_structure_tablemaster_train/best_accuracy
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train_model_name:latest
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train_infer_img_dir:./ppstructure/docs/table/table.jpg
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null:null
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##
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trainer:norm_train
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norm_train:tools/train.py -c test_tipc/configs/table_master/table_master.yml -o Global.print_batch_step=1
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pact_train:null
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fpgm_train:null
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distill_train:null
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null:null
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null:null
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##
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===========================eval_params===========================
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eval:null
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null:null
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##
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===========================infer_params===========================
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Global.save_inference_dir:./output/
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Global.checkpoints:
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norm_export:tools/export_model.py -c test_tipc/configs/table_master/table_master.yml -o
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quant_export:
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fpgm_export:
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distill_export:null
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export1:null
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export2:null
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##
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infer_model:null
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infer_export:null
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infer_quant:False
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inference:ppstructure/table/predict_structure.py --table_char_dict_path=./ppocr/utils/dict/table_master_structure_dict.txt --output ./output/table --table_algorithm=TableMaster --table_max_len=480
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--use_gpu:True
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--enable_mkldnn:False
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--cpu_threads:6
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--rec_batch_num:1
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--use_tensorrt:False
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--precision:fp32
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--table_model_dir:
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--image_dir:./ppstructure/docs/table/table.jpg
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null:null
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--benchmark:False
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null:null
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===========================infer_benchmark_params==========================
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random_infer_input:[{float32,[3,480,480]}]
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===========================train_benchmark_params==========================
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batch_size:10
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fp_items:fp32|fp16
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epoch:2
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--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
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flags:FLAGS_eager_delete_tensor_gb=0.0;FLAGS_fraction_of_gpu_memory_to_use=0.98;FLAGS_conv_workspace_size_limit=4096
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===========================to_static_train_benchmark_params===========================
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to_static_train:Global.to_static=true
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