54 lines
1.9 KiB
Plaintext
54 lines
1.9 KiB
Plaintext
===========================train_params===========================
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model_name:slanet_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_ppstructure_mobile_v2.0_SLANet_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 test_tipc/configs/slanet/SLANet.yml -o
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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 test_tipc/configs/slanet/SLANet.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_ppstructure_mobile_v2.0_SLANet_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:True
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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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