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===========================cpp_infer_params===========================
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model_name:en_table_structure
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use_opencv:True
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infer_model:./inference/en_ppocr_mobile_v2.0_table_structure_infer/
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infer_quant:False
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inference:./deploy/cpp_infer/build/ppocr --rec_img_h=32 --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 --limit_side_len=736 --limit_type=min --output=./output/table --merge_no_span_structure=False --type=structure --table=True
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--use_gpu:True|False
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--enable_mkldnn:False
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--cpu_threads:6
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--rec_batch_num:6
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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:True
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--det:True
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--rec:True
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--cls:False
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--use_angle_cls:False
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===========================paddle2onnx_params===========================
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model_name:en_table_structure
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python:python3.7
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2onnx: paddle2onnx
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--det_model_dir:./inference/en_ppocr_mobile_v2.0_table_structure_infer/
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--model_filename:inference.pdmodel
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--params_filename:inference.pdiparams
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--det_save_file:./inference/en_ppocr_mobile_v2.0_table_structure_infer/model.onnx
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--rec_model_dir:
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--rec_save_file:
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--opset_version:10
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--enable_onnx_checker:True
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inference:ppstructure/table/predict_structure.py --table_char_dict_path=./ppocr/utils/dict/table_structure_dict.txt
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--use_gpu:True|False
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--det_model_dir:
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--rec_model_dir:
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--image_dir:./ppstructure/docs/table/table.jpg
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59
test_tipc/configs/en_table_structure/train_infer_python.txt
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59
test_tipc/configs/en_table_structure/train_infer_python.txt
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===========================train_params===========================
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model_name:en_table_structure
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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=3|whole_train_whole_infer=50
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Global.save_model_dir:./output/
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Train.loader.batch_size_per_card:lite_train_lite_infer=16|whole_train_whole_infer=128
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Global.pretrained_model:./pretrain_models/en_ppocr_mobile_v2.0_table_structure_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 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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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 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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export1:null
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export2:null
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##
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infer_model:./inference/en_ppocr_mobile_v2.0_table_structure_infer
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infer_export:null
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infer_quant:False
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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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--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,[3,488,488]}]
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===========================train_benchmark_params==========================
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batch_size:32
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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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===========================train_params===========================
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model_name:en_table_structure
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python:python3.7
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gpu_list:192.168.0.1,192.168.0.2;0,1
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Global.use_gpu:True
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Global.auto_cast:fp32
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Global.epoch_num:lite_train_lite_infer=3|whole_train_whole_infer=50
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Global.save_model_dir:./output/
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Train.loader.batch_size_per_card:lite_train_lite_infer=16|whole_train_whole_infer=128
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Global.pretrained_model:./pretrain_models/en_ppocr_mobile_v2.0_table_structure_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 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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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 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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export1:null
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export2:null
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##
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infer_model:./inference/en_ppocr_mobile_v2.0_table_structure_infer
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infer_export:null
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infer_quant:False
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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:False
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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,[3,488,488]}]
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===========================train_params===========================
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model_name:en_table_structure
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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:amp
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Global.epoch_num:lite_train_lite_infer=3|whole_train_whole_infer=50
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Global.save_model_dir:./output/
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Train.loader.batch_size_per_card:lite_train_lite_infer=16|whole_train_whole_infer=128
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Global.pretrained_model:./pretrain_models/en_ppocr_mobile_v2.0_table_structure_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 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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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 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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export1:null
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export2:null
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##
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infer_model:./inference/en_ppocr_mobile_v2.0_table_structure_infer
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infer_export:null
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infer_quant:False
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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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--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,[3,488,488]}]
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===========================train_params===========================
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model_name:en_table_structure_PACT
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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=50
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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=2
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Global.pretrained_model:./pretrain_models/en_ppocr_mobile_v2.0_table_structure_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:pact_train
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norm_train:null
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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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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:null
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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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export2:null
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##
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infer_model:./inference/en_ppocr_mobile_v2.0_table_structure_infer
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infer_export:null
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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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--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,[3,488,488]}]
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@@ -0,0 +1,21 @@
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===========================train_params===========================
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model_name:en_table_structure_KL
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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 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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--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:int8
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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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null:null
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Reference in New Issue
Block a user