commit
c9434a08c4
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@ -33,7 +33,7 @@ fpgm_export:deploy/slim/prune/export_prune_model.py -c tests/configs/det_mv3_db.
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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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inference_dir:null
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train_model:./inference/ch_ppocr_mobile_v2.0_det_train/best_accuracy
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infer_export:tools/export_model.py -c configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml -o
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infer_quant:False
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@ -0,0 +1,51 @@
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===========================train_params===========================
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model_name:PPOCRv2_ocr_det
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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_infer=1|whole_train_infer=500
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Global.save_model_dir:./output/
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Train.loader.batch_size_per_card:lite_train_infer=2|whole_train_infer=4
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Global.pretrained_model:null
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train_model_name:latest
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train_infer_img_dir:./train_data/icdar2015/text_localization/ch4_test_images/
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null:null
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##
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trainer:norm_train|pact_train
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norm_train:tools/train.py -c configs/det/ch_PP-OCRv2/ch_PP-OCR_det_cml.yml -o
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pact_train:deploy/slim/quantization/quant.py -c configs/det/ch_PP-OCRv2/ch_PP-OCR_det_cml.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.pretrained_model:
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norm_export:tools/export_model.py -c configs/det/ch_PP-OCRv2/ch_PP-OCR_det_cml.yml -o
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quant_export:deploy/slim/quantization/export_model.py -c configs/det/ch_PP-OCRv2/ch_PP-OCR_det_cml.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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inference_dir:Student
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infer_model:./inference/ch_PP-OCRv2_det_infer/
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infer_export:null
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infer_quant:False
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inference:tools/infer/predict_det.py
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--use_gpu:True|False
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--enable_mkldnn:True|False
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--cpu_threads:1|6
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--rec_batch_num:1
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--use_tensorrt:False|True
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--precision:fp32|fp16|int8
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--det_model_dir:
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--image_dir:./inference/ch_det_data_50/all-sum-510/
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null:null
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--benchmark:True
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null:null
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@ -39,6 +39,10 @@ if [ ${MODE} = "lite_train_lite_infer" ];then
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# pretrain lite train data
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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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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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if [ ${model_name} == "PPOCRv2_ocr_det" ]; then
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wget -nc -P ./pretrain_models/ https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_distill_train.tar
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cd ./pretrain_models/ && tar xf ch_PP-OCRv2_det_distill_train.tar && cd ../
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fi
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cd ./pretrain_models/ && tar xf det_mv3_db_v2.0_train.tar && cd ../
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rm -rf ./train_data/icdar2015
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rm -rf ./train_data/ic15_data
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@ -58,6 +62,10 @@ elif [ ${MODE} = "whole_train_whole_infer" ];then
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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/ic15_data.tar
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cd ./train_data/ && tar xf icdar2015.tar && tar xf ic15_data.tar && cd ../
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if [ ${model_name} == "PPOCRv2_ocr_det" ]; then
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wget -nc -P ./pretrain_models/ https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_distill_train.tar
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cd ./pretrain_models/ && tar xf ch_PP-OCRv2_det_distill_train.tar && cd ../
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fi
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elif [ ${MODE} = "lite_train_whole_infer" ];then
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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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rm -rf ./train_data/icdar2015
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@ -67,6 +75,10 @@ elif [ ${MODE} = "lite_train_whole_infer" ];then
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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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cd ../
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if [ ${model_name} == "PPOCRv2_ocr_det" ]; then
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wget -nc -P ./pretrain_models/ https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_distill_train.tar
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cd ./pretrain_models/ && tar xf ch_PP-OCRv2_det_distill_train.tar && cd ../
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fi
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elif [ ${MODE} = "whole_infer" ];then
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if [ ${model_name} = "ocr_det" ]; then
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eval_model_name="ch_ppocr_mobile_v2.0_det_train"
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@ -101,12 +113,27 @@ elif [ ${MODE} = "whole_infer" ];then
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wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar
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cd ./inference && tar xf ${eval_model_name}.tar && tar xf rec_inference.tar && cd ../
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fi
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elif [ ${model_name} = "PPOCRv2_ocr_det" ]; then
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eval_model_name="ch_PP-OCRv2_det_infer"
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wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/ch_det_data_50.tar
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wget -nc -P ./inference/ https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_infer.tar
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cd ./inference && tar xf ${eval_model_name}.tar && tar xf ch_det_data_50.tar && cd ../
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fi
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elif [ ${MODE} = "klquant_whole_infer" ];then
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if [ ${model_name} = "ocr_det" ]; then
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wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar
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wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/ch_det_data_50.tar
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cd ./inference && tar xf ch_ppocr_mobile_v2.0_det_infer.tar && tar xf ch_det_data_50.tar && cd ../
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fi
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if [ ${model_name} = "PPOCRv2_ocr_det" ]; then
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eval_model_name="ch_PP-OCRv2_det_infer"
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wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/ch_det_data_50.tar
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wget -nc -P ./inference/ https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_infer.tar
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cd ./inference && tar xf ${eval_model_name}.tar && tar xf ch_det_data_50.tar && cd ../
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fi
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elif [ ${MODE} = "cpp_infer" ];then
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if [ ${model_name} = "ocr_det" ]; then
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wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/ch_det_data_50.tar
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@ -59,6 +59,7 @@ export_key1=$(func_parser_key "${lines[33]}")
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export_value1=$(func_parser_value "${lines[33]}")
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export_key2=$(func_parser_key "${lines[34]}")
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export_value2=$(func_parser_value "${lines[34]}")
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inference_dir=$(func_parser_value "${lines[35]}")
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# parser inference model
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infer_model_dir_list=$(func_parser_value "${lines[36]}")
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#run inference
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eval $env
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save_infer_path="${save_log}"
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func_inference "${python}" "${inference_py}" "${save_infer_path}" "${LOG_PATH}" "${train_infer_img_dir}" "${flag_quant}"
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if [ ${inference_dir} != "null" ] && [ ${inference_dir} != '##' ]; then
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infer_model_dir="${save_infer_path}/${inference_dir}"
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else
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infer_model_dir=${save_infer_path}
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fi
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func_inference "${python}" "${inference_py}" "${infer_model_dir}" "${LOG_PATH}" "${train_infer_img_dir}" "${flag_quant}"
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eval "unset CUDA_VISIBLE_DEVICES"
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fi
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done # done with: for trainer in ${trainer_list[*]}; do
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