94 lines
3.7 KiB
Bash
94 lines
3.7 KiB
Bash
#!/bin/bash
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source ./test_tipc/common_func.sh
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FILENAME=$1
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dataline=$(cat ${FILENAME})
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# parser params
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IFS=$'\n'
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lines=(${dataline})
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IFS=$'\n'
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inference_cmd=$(func_parser_value "${lines[1]}")
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DEVICE=$(func_parser_value "${lines[2]}")
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det_lite_model_list=$(func_parser_value "${lines[3]}")
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rec_lite_model_list=$(func_parser_value "${lines[4]}")
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cls_lite_model_list=$(func_parser_value "${lines[5]}")
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if [[ $inference_cmd =~ "det" ]];then
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lite_model_list=${det_lite_model_list}
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elif [[ $inference_cmd =~ "rec" ]];then
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lite_model_list=(${rec_lite_model_list[*]} ${cls_lite_model_list[*]})
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elif [[ $inference_cmd =~ "system" ]];then
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lite_model_list=(${det_lite_model_list[*]} ${rec_lite_model_list[*]} ${cls_lite_model_list[*]})
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else
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echo "inference_cmd is wrong, please check."
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exit 1
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fi
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if [ ${DEVICE} = "ARM_CPU" ];then
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valid_targets="arm"
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paddlelite_url="https://github.com/PaddlePaddle/Paddle-Lite/releases/download/v2.10-rc/inference_lite_lib.android.armv8.gcc.c++_shared.with_extra.with_cv.tar.gz"
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end_index="66"
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elif [ ${DEVICE} = "ARM_GPU_OPENCL" ];then
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valid_targets="opencl"
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paddlelite_url="https://github.com/PaddlePaddle/Paddle-Lite/releases/download/v2.10-rc/inference_lite_lib.armv8.clang.with_exception.with_extra.with_cv.opencl.tar.gz"
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end_index="71"
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else
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echo "DEVICE only suport ARM_CPU, ARM_GPU_OPENCL."
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exit 2
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fi
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# prepare lite .nb model
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pip install paddlelite==2.10-rc
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current_dir=${PWD}
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IFS="|"
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model_path=./inference_models
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for model in ${lite_model_list[*]}; do
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if [[ $model =~ "PP-OCRv2" ]];then
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inference_model_url=https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/${model}.tar
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elif [[ $model =~ "v2.0" ]];then
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inference_model_url=https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/${model}.tar
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else
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echo "Model is wrong, please check."
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exit 3
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fi
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inference_model=${inference_model_url##*/}
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wget -nc -P ${model_path} ${inference_model_url}
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cd ${model_path} && tar -xf ${inference_model} && cd ../
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model_dir=${model_path}/${inference_model%.*}
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model_file=${model_dir}/inference.pdmodel
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param_file=${model_dir}/inference.pdiparams
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paddle_lite_opt --model_dir=${model_dir} --model_file=${model_file} --param_file=${param_file} --valid_targets=${valid_targets} --optimize_out=${model_dir}_opt
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done
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# prepare test data
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data_url=https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/icdar2015_lite.tar
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model_path=./inference_models
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inference_model=${inference_model_url##*/}
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data_file=${data_url##*/}
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wget -nc -P ./inference_models ${inference_model_url}
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wget -nc -P ./test_data ${data_url}
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cd ./inference_models && tar -xf ${inference_model} && cd ../
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cd ./test_data && tar -xf ${data_file} && rm ${data_file} && cd ../
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# prepare lite env
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paddlelite_zipfile=$(echo $paddlelite_url | awk -F "/" '{print $NF}')
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paddlelite_file=${paddlelite_zipfile:0:${end_index}}
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wget ${paddlelite_url} && tar -xf ${paddlelite_zipfile}
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mkdir -p ${paddlelite_file}/demo/cxx/ocr/test_lite
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cp -r ${model_path}/*_opt.nb test_data ${paddlelite_file}/demo/cxx/ocr/test_lite
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cp ppocr/utils/ppocr_keys_v1.txt deploy/lite/config.txt ${paddlelite_file}/demo/cxx/ocr/test_lite
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cp -r ./deploy/lite/* ${paddlelite_file}/demo/cxx/ocr/
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cp ${paddlelite_file}/cxx/lib/libpaddle_light_api_shared.so ${paddlelite_file}/demo/cxx/ocr/test_lite
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cp ${FILENAME} test_tipc/test_lite_arm_cpp.sh test_tipc/common_func.sh ${paddlelite_file}/demo/cxx/ocr/test_lite
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cd ${paddlelite_file}/demo/cxx/ocr/
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git clone https://github.com/cuicheng01/AutoLog.git
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# make
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make -j
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sleep 1
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make -j
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cp ocr_db_crnn test_lite && cp test_lite/libpaddle_light_api_shared.so test_lite/libc++_shared.so
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tar -cf test_lite.tar ./test_lite && cp test_lite.tar ${current_dir} && cd ${current_dir}
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rm -rf ${paddlelite_file}* && rm -rf ${model_path}
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