update shell
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@ -1,13 +1,12 @@
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model_name:ocr_rec
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model_name:ocr_rec
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python:python3.7
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python:python
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gpu_list:0|0,1
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gpu_list:0|0,1
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Global.auto_cast:False
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Global.auto_cast:null
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Global.epoch_num:10
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Global.epoch_num:10
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Global.save_model_dir:./output/
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Global.save_model_dir:./output/
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Global.save_inference_dir:./output/
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Train.loader.batch_size_per_card:
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Train.loader.batch_size_per_card:
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Global.use_gpu
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Global.use_gpu:
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Global.pretrained_model
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Global.pretrained_model:null
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trainer:norm|pact
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trainer:norm|pact
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norm_train:tools/train.py -c configs/rec/rec_mv3_none_bilstm_ctc.yml
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norm_train:tools/train.py -c configs/rec/rec_mv3_none_bilstm_ctc.yml
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@ -17,6 +16,8 @@ distill_train:null
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eval:tools/eval.py -c configs/rec/rec_mv3_none_bilstm_ctc.yml -o
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eval:tools/eval.py -c configs/rec/rec_mv3_none_bilstm_ctc.yml -o
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Global.save_inference_dir:./output/
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Global.pretrained_model:
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norm_export:tools/export_model.py -c configs/rec/rec_mv3_none_bilstm_ctc.yml -o
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norm_export:tools/export_model.py -c configs/rec/rec_mv3_none_bilstm_ctc.yml -o
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quant_export:deploy/slim/quantization/export_model.py -c configs/rec/rec_mv3_none_bilstm_ctc.yml -o
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quant_export:deploy/slim/quantization/export_model.py -c configs/rec/rec_mv3_none_bilstm_ctc.yml -o
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fpgm_export:null
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fpgm_export:null
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@ -26,9 +27,9 @@ inference:tools/infer/predict_rec.py
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--use_gpu:True|False
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--use_gpu:True|False
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--enable_mkldnn:True|False
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--enable_mkldnn:True|False
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--cpu_threads:1|6
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--cpu_threads:1|6
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--rec_batch_num:6
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--rec_batch_num:1
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--use_tensorrt:True|False
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--use_tensorrt:True|False
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--precision:fp32|fp16|int8
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--precision:fp32|fp16|int8
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--rec_model_dir
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--rec_model_dir:./inference/ch_ppocr_mobile_v2.0_rec_infer/
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--image_dir
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--image_dir:./inference/rec_inference
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--save_log_path
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--save_log_path:./test/output/
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@ -28,18 +28,22 @@ model_name=$(func_parser_value "${lines[0]}")
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train_model_list=$(func_parser_value "${lines[0]}")
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train_model_list=$(func_parser_value "${lines[0]}")
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trainer_list=$(func_parser_value "${lines[10]}")
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trainer_list=$(func_parser_value "${lines[10]}")
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echo $train_model_list
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# MODE be one of ['lite_train_infer' 'whole_infer' 'whole_train_infer']
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# MODE be one of ['lite_train_infer' 'whole_infer' 'whole_train_infer']
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MODE=$2
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MODE=$2
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# prepare pretrained weights and dataset
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# prepare pretrained weights and dataset
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wget -nc -P ./pretrain_models/ https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileNetV3_large_x0_5_pretrained.pdparams
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if [ ${train_model_list[*]} = "ocr_det" ]; then
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wget -nc -P ./pretrain_models/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_mv3_db_v2.0_train.tar
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wget -nc -P ./pretrain_models/ https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileNetV3_large_x0_5_pretrained.pdparams
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cd pretrain_models && tar xf det_mv3_db_v2.0_train.tar && cd ../
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wget -nc -P ./pretrain_models/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_mv3_db_v2.0_train.tar
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cd pretrain_models && tar xf det_mv3_db_v2.0_train.tar && cd ../
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fi
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if [ ${MODE} = "lite_train_infer" ];then
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if [ ${MODE} = "lite_train_infer" ];then
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# pretrain lite train data
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# pretrain lite train data
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rm -rf ./train_data/icdar2015
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rm -rf ./train_data/icdar2015
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wget -nc -P ./train_data/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/icdar2015_lite.tar
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wget -nc -P ./train_data/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/icdar2015_lite.tar
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cd ./train_data/ && tar xf icdar2015_lite.tar
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wget -nc -P ./train_data/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/ic15_data.tar # todo change to bcebos
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cd ./train_data/ && tar xf icdar2015_lite.tar && tar xf ic15_data.tar
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ln -s ./icdar2015_lite ./icdar2015
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ln -s ./icdar2015_lite ./icdar2015
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cd ../
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cd ../
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epoch=10
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epoch=10
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elif [ ${MODE} = "whole_train_infer" ];then
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elif [ ${MODE} = "whole_train_infer" ];then
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rm -rf ./train_data/icdar2015
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rm -rf ./train_data/icdar2015
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wget -nc -P ./train_data/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/icdar2015.tar
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wget -nc -P ./train_data/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/icdar2015.tar
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cd ./train_data/ && tar xf icdar2015.tar && cd ../
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wget -nc -P ./train_data/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/ic15_data.tar
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cd ./train_data/ && tar xf icdar2015.tar && tar xf ic15_data.tar && cd ../
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epoch=500
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epoch=500
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eval_batch_step=200
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eval_batch_step=200
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elif [ ${MODE} = "whole_infer" ];then
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elif [ ${MODE} = "whole_infer" ];then
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rm -rf ./train_data/icdar2015
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rm -rf ./train_data/icdar2015
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wget -nc -P ./train_data/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/icdar2015_infer.tar
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wget -nc -P ./train_data/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/icdar2015_infer.tar
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cd ./train_data/ && tar xf icdar2015_infer.tar
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wget -nc -P ./train_data/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/ic15_data.tar
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cd ./train_data/ && tar xf icdar2015_infer.tar && tar xf ic15_data.tar
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ln -s ./icdar2015_infer ./icdar2015
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ln -s ./icdar2015_infer ./icdar2015
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cd ../
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cd ../
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epoch=10
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epoch=10
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@ -86,9 +92,11 @@ for train_model in ${train_model_list[*]}; do
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elif [ ${train_model} = "ocr_rec" ];then
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elif [ ${train_model} = "ocr_rec" ];then
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model_name="ocr_rec"
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model_name="ocr_rec"
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yml_file="configs/rec/rec_mv3_none_bilstm_ctc.yml"
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yml_file="configs/rec/rec_mv3_none_bilstm_ctc.yml"
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wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/ch_rec_data_200.tar
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wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/rec_inference.tar
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cd ./inference && tar xf ch_rec_data_200.tar && cd ../
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cd ./inference && tar xf rec_inference.tar && cd ../
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img_dir="./inference/ch_rec_data_200/"
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img_dir="./inference/rec_inference/"
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data_dir=./inference/rec_inference
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data_label_file=[./inference/rec_inference/rec_gt_test.txt]
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fi
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fi
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# eval
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# eval
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