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update table_mv3 tipc config (#9733)
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Global:
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use_gpu: true
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epoch_num: 10
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log_smooth_window: 20
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print_batch_step: 5
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save_model_dir: ./output/table_mv3/
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save_epoch_step: 400
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# evaluation is run every 400 iterations after the 0th iteration
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eval_batch_step: [0, 40000]
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cal_metric_during_train: True
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pretrained_model:
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checkpoints:
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save_inference_dir:
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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_mv3
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# for data or label process
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character_dict_path: ppocr/utils/dict/table_structure_dict.txt
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character_type: en
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max_text_length: &max_text_length 500
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box_format: &box_format 'xyxy' # 'xywh', 'xyxy', 'xyxyxyxy'
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infer_mode: False
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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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clip_norm: 5.0
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lr:
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learning_rate: 0.001
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regularizer:
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name: 'L2'
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factor: 0.00000
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Architecture:
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model_type: table
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algorithm: TableAttn
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Backbone:
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name: MobileNetV3
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scale: 1.0
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model_name: small
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disable_se: true
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Head:
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name: TableAttentionHead
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hidden_size: 256
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loc_type: 2
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max_text_length: *max_text_length
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loc_reg_num: &loc_reg_num 4
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Loss:
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name: TableAttentionLoss
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structure_weight: 100.0
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loc_weight: 10000.0
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PostProcess:
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name: TableLabelDecode
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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 # cost many time, set False for training
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Train:
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dataset:
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name: PubTabDataSet
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data_dir: ./train_data/pubtabnet/train
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label_file_list: [./train_data/pubtabnet/train.jsonl]
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transforms:
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- DecodeImage: # load image
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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: False
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replace_empty_cell_token: False
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loc_reg_num: *loc_reg_num
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max_text_length: *max_text_length
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- TableBoxEncode:
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- ResizeTableImage:
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max_len: 488
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- NormalizeImage:
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scale: 1./255.
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mean: [0.485, 0.456, 0.406]
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std: [0.229, 0.224, 0.225]
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order: 'hwc'
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- PaddingTableImage:
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size: [488, 488]
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- ToCHWImage:
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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: 32
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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/pubtabnet/test/
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label_file_list: [./train_data/pubtabnet/test.jsonl]
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transforms:
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- DecodeImage: # load image
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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: False
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replace_empty_cell_token: False
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loc_reg_num: *loc_reg_num
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max_text_length: *max_text_length
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- TableBoxEncode:
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- ResizeTableImage:
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max_len: 488
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- NormalizeImage:
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scale: 1./255.
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mean: [0.485, 0.456, 0.406]
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std: [0.229, 0.224, 0.225]
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order: 'hwc'
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- PaddingTableImage:
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size: [488, 488]
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- ToCHWImage:
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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: 16
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num_workers: 1
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@ -13,7 +13,7 @@ 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/en_table_structure/table_mv3.yml -o Global.print_batch_step=1 Train.loader.shuffle=false
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norm_train:tools/train.py -c configs/table/table_mv3.yml -o Global.print_batch_step=1 Train.loader.shuffle=false Train.dataset.data_dir=./train_data/pubtabnet/train Train.dataset.label_file_list=[./train_data/pubtabnet/train.jsonl] Eval.dataset.data_dir=./train_data/pubtabnet/test Eval.dataset.label_file_list=[./train_data/pubtabnet/test.jsonl]
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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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@ -27,7 +27,7 @@ null:null
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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/en_table_structure/table_mv3.yml -o
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norm_export:tools/export_model.py -c configs/table/table_mv3.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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@ -13,7 +13,7 @@ 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/en_table_structure/table_mv3.yml -o
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norm_train:tools/train.py -c configs/table/table_mv3.yml -o Train.dataset.data_dir=./train_data/pubtabnet/train Train.dataset.label_file_list=[./train_data/pubtabnet/train.jsonl] Eval.dataset.data_dir=./train_data/pubtabnet/test Eval.dataset.label_file_list=[./train_data/pubtabnet/test.jsonl]
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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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@ -27,7 +27,7 @@ null:null
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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/en_table_structure/table_mv3.yml -o
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norm_export:tools/export_model.py -c configs/table/table_mv3.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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@ -13,7 +13,7 @@ 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/en_table_structure/table_mv3.yml -o
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norm_train:tools/train.py -c configs/table/table_mv3.yml -o Train.dataset.data_dir=./train_data/pubtabnet/train Train.dataset.label_file_list=[./train_data/pubtabnet/train.jsonl] Eval.dataset.data_dir=./train_data/pubtabnet/test Eval.dataset.label_file_list=[./train_data/pubtabnet/test.jsonl]
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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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@ -27,7 +27,7 @@ null:null
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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/en_table_structure/table_mv3.yml -o
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norm_export:tools/export_model.py -c configs/table/table_mv3.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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@ -14,7 +14,7 @@ null:null
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##
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trainer:pact_train
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norm_train:null
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pact_train:deploy/slim/quantization/quant.py -c test_tipc/configs/en_table_structure/table_mv3.yml -o
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pact_train:deploy/slim/quantization/quant.py -c configs/table/table_mv3.yml -o Train.dataset.data_dir=./train_data/pubtabnet/train Train.dataset.label_file_list=[./train_data/pubtabnet/train.jsonl] Eval.dataset.data_dir=./train_data/pubtabnet/test Eval.dataset.label_file_list=[./train_data/pubtabnet/test.jsonl]
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fpgm_train:null
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distill_train:null
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null:null
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@ -28,7 +28,7 @@ null:null
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Global.save_inference_dir:./output/
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Global.checkpoints:
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norm_export:null
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quant_export:deploy/slim/quantization/export_model.py -c test_tipc/configs/en_table_structure/table_mv3.yml -o
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quant_export:deploy/slim/quantization/export_model.py -c configs/table/table_mv3.yml -o
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fpgm_export:
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distill_export:null
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export1:null
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@ -4,7 +4,7 @@ python:python3.7
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Global.pretrained_model:
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Global.save_inference_dir:null
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infer_model:./inference/en_ppocr_mobile_v2.0_table_structure_infer/
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infer_export:deploy/slim/quantization/quant_kl.py -c test_tipc/configs/en_table_structure/table_mv3.yml -o
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infer_export:deploy/slim/quantization/quant_kl.py -c configs/table/table_mv3.yml -o
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infer_quant:True
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inference:ppstructure/table/predict_table.py --det_model_dir=./inference/en_ppocr_mobile_v2.0_table_det_infer --rec_model_dir=./inference/en_ppocr_mobile_v2.0_table_rec_infer --rec_char_dict_path=./ppocr/utils/dict/table_dict.txt --table_char_dict_path=./ppocr/utils/dict/table_structure_dict.txt --image_dir=./ppstructure/docs/table/table.jpg --det_limit_side_len=736 --det_limit_type=min --output ./output/table
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--use_gpu:True|False
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