#!/bin/bash source ./test_tipc/common_func.sh FILENAME=$1 dataline=$(cat ${FILENAME}) # parser params IFS=$'\n' lines=(${dataline}) IFS=$'\n' paddlelite_library_source=$2 inference_cmd=$(func_parser_value "${lines[1]}") DEVICE=$(func_parser_value "${lines[2]}") det_lite_model_list=$(func_parser_value "${lines[3]}") rec_lite_model_list=$(func_parser_value "${lines[4]}") cls_lite_model_list=$(func_parser_value "${lines[5]}") if [[ $inference_cmd =~ "det" ]]; then lite_model_list=${det_lite_model_list} elif [[ $inference_cmd =~ "rec" ]]; then lite_model_list=(${rec_lite_model_list[*]} ${cls_lite_model_list[*]}) elif [[ $inference_cmd =~ "system" ]]; then lite_model_list=(${det_lite_model_list[*]} ${rec_lite_model_list[*]} ${cls_lite_model_list[*]}) else echo "inference_cmd is wrong, please check." exit 1 fi if [ ${DEVICE} = "ARM_CPU" ]; then valid_targets="arm" paddlelite_library_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" end_index="66" compile_with_opencl="OFF" elif [ ${DEVICE} = "ARM_GPU_OPENCL" ]; then valid_targets="opencl" paddlelite_library_url="https://github.com/PaddlePaddle/Paddle-Lite/releases/download/v2.10-rc/inference_lite_lib.armv8.clang.with_exception.with_extra.with_cv.opencl.tar.gz" end_index="71" compile_with_opencl="ON" else echo "DEVICE only support ARM_CPU, ARM_GPU_OPENCL." exit 2 fi # prepare paddlelite model pip install paddlelite==2.10-rc current_dir=${PWD} IFS="|" model_path=./inference_models for model in ${lite_model_list[*]}; do if [[ $model =~ "PP-OCRv2" ]]; then inference_model_url=https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/${model}.tar elif [[ $model =~ "v2_0" ]]; then inference_model_url=https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/${model}.tar elif [[ $model =~ "PP-OCRv3" ]]; then inference_model_url=https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/${model}.tar else echo "Model is wrong, please check." exit 3 fi inference_model=${inference_model_url##*/} wget -nc -P ${model_path} ${inference_model_url} cd ${model_path} && tar -xf ${inference_model} && cd ../ model_dir=${model_path}/${inference_model%.*} model_file=${model_dir}/inference.pdmodel param_file=${model_dir}/inference.pdiparams paddle_lite_opt --model_dir=${model_dir} --model_file=${model_file} --param_file=${param_file} --valid_targets=${valid_targets} --optimize_out=${model_dir}_opt done # prepare test data data_url=https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/icdar2015_lite.tar data_file=${data_url##*/} wget -nc -P ./test_data ${data_url} cd ./test_data && tar -xf ${data_file} && rm ${data_file} && cd ../ # prepare paddlelite predict library if [[ ${paddlelite_library_source} = "download" ]]; then paddlelite_library_zipfile=$(echo $paddlelite_library_url | awk -F "/" '{print $NF}') paddlelite_library_file=${paddlelite_library_zipfile:0:${end_index}} wget ${paddlelite_library_url} && tar -xf ${paddlelite_library_zipfile} cd ${paddlelite_library_zipfile} elif [[ ${paddlelite_library_source} = "compile" ]]; then git clone -b release/v2.10 https://github.com/PaddlePaddle/Paddle-Lite.git cd Paddle-Lite ./lite/tools/build_android.sh --arch=armv8 --with_cv=ON --with_extra=ON --toolchain=clang --with_opencl=${compile_with_opencl} cd ../ cp -r Paddle-Lite/build.lite.android.armv8.clang/inference_lite_lib.android.armv8/ . paddlelite_library_file=inference_lite_lib.android.armv8 else echo "paddlelite_library_source only support 'download' and 'compile'" exit 3 fi # organize the required files mkdir -p ${paddlelite_library_file}/demo/cxx/ocr/test_lite cp -r ${model_path}/*_opt.nb test_data ${paddlelite_library_file}/demo/cxx/ocr/test_lite cp ppocr/utils/ppocr_keys_v1.txt deploy/lite/config.txt ${paddlelite_library_file}/demo/cxx/ocr/test_lite cp -r ./deploy/lite/* ${paddlelite_library_file}/demo/cxx/ocr/ cp ${paddlelite_library_file}/cxx/lib/libpaddle_light_api_shared.so ${paddlelite_library_file}/demo/cxx/ocr/test_lite cp ${FILENAME} test_tipc/test_lite_arm_cpp.sh test_tipc/common_func.sh ${paddlelite_library_file}/demo/cxx/ocr/test_lite cd ${paddlelite_library_file}/demo/cxx/ocr/ git clone https://github.com/cuicheng01/AutoLog.git # compile and do some postprocess make -j sleep 1 make -j cp ocr_db_crnn test_lite && cp test_lite/libpaddle_light_api_shared.so test_lite/libc++_shared.so tar -cf test_lite.tar ./test_lite && cp test_lite.tar ${current_dir} && cd ${current_dir} rm -rf ${paddlelite_library_file}* && rm -rf ${model_path}