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Global:
use_gpu: true
epoch_num: 17
log_smooth_window: 20
print_batch_step: 100
save_model_dir: ./output/table_master/
save_epoch_step: 17
eval_batch_step: [0, 6259]
cal_metric_during_train: false
pretrained_model: null
checkpoints:
save_inference_dir: output/table_master/infer
use_visualdl: false
infer_img: ppstructure/docs/table/table.jpg
save_res_path: ./output/table_master
character_dict_path: ppocr/utils/dict/table_master_structure_dict.txt
infer_mode: false
max_text_length: 500
d2s_train_image_shape: [3, 480, 480]
Optimizer:
name: Adam
beta1: 0.9
beta2: 0.999
lr:
name: MultiStepDecay
learning_rate: 0.001
milestones: [12, 15]
gamma: 0.1
warmup_epoch: 0.02
regularizer:
name: L2
factor: 0.0
Architecture:
model_type: table
algorithm: TableMaster
Backbone:
name: TableResNetExtra
gcb_config:
ratio: 0.0625
headers: 1
att_scale: False
fusion_type: channel_add
layers: [False, True, True, True]
layers: [1,2,5,3]
Head:
name: TableMasterHead
hidden_size: 512
headers: 8
dropout: 0
d_ff: 2024
max_text_length: 500
Loss:
name: TableMasterLoss
ignore_index: 42 # set to len of dict + 3
PostProcess:
name: TableMasterLabelDecode
box_shape: pad
Metric:
name: TableMetric
main_indicator: acc
compute_bbox_metric: False
Train:
dataset:
name: LMDBDataSetTableMaster
data_dir: train_data/StructureLabel_val_500/
transforms:
- DecodeImage:
img_mode: BGR
channel_first: False
- TableMasterLabelEncode:
learn_empty_box: False
merge_no_span_structure: False
replace_empty_cell_token: True
- ResizeTableImage:
max_len: 480
resize_bboxes: True
- PaddingTableImage:
size: [480, 480]
- TableBoxEncode:
box_format: 'xywh'
- NormalizeImage:
scale: 1./255.
mean: [0.5, 0.5, 0.5]
std: [0.5, 0.5, 0.5]
order: hwc
- ToCHWImage: null
- KeepKeys:
keep_keys: [image, structure, bboxes, bbox_masks, shape]
loader:
shuffle: True
batch_size_per_card: 10
drop_last: True
num_workers: 8
Eval:
dataset:
name: LMDBDataSetTableMaster
data_dir: train_data/StructureLabel_val_500/
transforms:
- DecodeImage:
img_mode: BGR
channel_first: False
- TableMasterLabelEncode:
learn_empty_box: False
merge_no_span_structure: False
replace_empty_cell_token: True
- ResizeTableImage:
max_len: 480
resize_bboxes: True
- PaddingTableImage:
size: [480, 480]
- TableBoxEncode:
box_format: 'xywh'
- NormalizeImage:
scale: 1./255.
mean: [0.5, 0.5, 0.5]
std: [0.5, 0.5, 0.5]
order: hwc
- ToCHWImage: null
- KeepKeys:
keep_keys: [image, structure, bboxes, bbox_masks, shape]
loader:
shuffle: False
drop_last: False
batch_size_per_card: 10
num_workers: 8

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===========================train_params===========================
model_name:table_master
python:python3.7
gpu_list:0|0,1
Global.use_gpu:True|True
Global.auto_cast:fp32
Global.epoch_num:lite_train_lite_infer=1|whole_train_whole_infer=17
Global.save_model_dir:./output/
Train.loader.batch_size_per_card:lite_train_lite_infer=2|whole_train_whole_infer=4
Global.pretrained_model:./pretrain_models/table_structure_tablemaster_train/best_accuracy
train_model_name:latest
train_infer_img_dir:./ppstructure/docs/table/table.jpg
null:null
##
trainer:norm_train
norm_train:tools/train.py -c test_tipc/configs/table_master/table_master.yml -o Global.print_batch_step=1
pact_train:null
fpgm_train:null
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:null
null:null
##
===========================infer_params===========================
Global.save_inference_dir:./output/
Global.checkpoints:
norm_export:tools/export_model.py -c test_tipc/configs/table_master/table_master.yml -o
quant_export:
fpgm_export:
distill_export:null
export1:null
export2:null
##
infer_model:null
infer_export:null
infer_quant:False
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
--use_gpu:True
--enable_mkldnn:False
--cpu_threads:6
--rec_batch_num:1
--use_tensorrt:False
--precision:fp32
--table_model_dir:
--image_dir:./ppstructure/docs/table/table.jpg
null:null
--benchmark:False
null:null
===========================infer_benchmark_params==========================
random_infer_input:[{float32,[3,480,480]}]
===========================train_benchmark_params==========================
batch_size:10
fp_items:fp32|fp16
epoch:2
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:FLAGS_eager_delete_tensor_gb=0.0;FLAGS_fraction_of_gpu_memory_to_use=0.98;FLAGS_conv_workspace_size_limit=4096
===========================to_static_train_benchmark_params===========================
to_static_train:Global.to_static=true