mirror of
https://github.com/PaddlePaddle/PaddleOCR.git
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241 lines
10 KiB
Bash
241 lines
10 KiB
Bash
#!/bin/bash
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source test_tipc/common_func.sh
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FILENAME=$1
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dataline=$(awk 'NR==1, NR==20{print}' $FILENAME)
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# parser params
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IFS=$'\n'
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lines=(${dataline})
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# parser cpp inference model
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model_name=$(func_parser_value "${lines[1]}")
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use_opencv=$(func_parser_value "${lines[2]}")
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cpp_infer_model_dir_list=$(func_parser_value "${lines[3]}")
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cpp_infer_is_quant=$(func_parser_value "${lines[4]}")
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# parser cpp inference
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inference_cmd=$(func_parser_value "${lines[5]}")
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cpp_use_gpu_key=$(func_parser_key "${lines[6]}")
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cpp_use_gpu_list=$(func_parser_value "${lines[6]}")
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cpp_use_mkldnn_key=$(func_parser_key "${lines[7]}")
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cpp_use_mkldnn_list=$(func_parser_value "${lines[7]}")
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cpp_cpu_threads_key=$(func_parser_key "${lines[8]}")
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cpp_cpu_threads_list=$(func_parser_value "${lines[8]}")
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cpp_batch_size_key=$(func_parser_key "${lines[9]}")
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cpp_batch_size_list=$(func_parser_value "${lines[9]}")
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cpp_use_trt_key=$(func_parser_key "${lines[10]}")
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cpp_use_trt_list=$(func_parser_value "${lines[10]}")
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cpp_precision_key=$(func_parser_key "${lines[11]}")
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cpp_precision_list=$(func_parser_value "${lines[11]}")
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cpp_infer_model_key=$(func_parser_key "${lines[12]}")
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cpp_image_dir_key=$(func_parser_key "${lines[13]}")
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cpp_infer_img_dir=$(func_parser_value "${lines[13]}")
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cpp_infer_key1=$(func_parser_key "${lines[14]}")
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cpp_infer_value1=$(func_parser_value "${lines[14]}")
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cpp_benchmark_key=$(func_parser_key "${lines[15]}")
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cpp_benchmark_value=$(func_parser_value "${lines[15]}")
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cpp_det_key=$(func_parser_key "${lines[16]}")
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cpp_det_value=$(func_parser_value "${lines[16]}")
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cpp_rec_key=$(func_parser_key "${lines[17]}")
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cpp_rec_value=$(func_parser_value "${lines[17]}")
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cpp_cls_key=$(func_parser_key "${lines[18]}")
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cpp_cls_value=$(func_parser_value "${lines[18]}")
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cpp_use_angle_cls_key=$(func_parser_key "${lines[19]}")
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cpp_use_angle_cls_value=$(func_parser_value "${lines[19]}")
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LOG_PATH="./test_tipc/output/${model_name}/cpp_infer"
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mkdir -p ${LOG_PATH}
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status_log="${LOG_PATH}/results_cpp.log"
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function func_cpp_inference(){
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IFS='|'
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_script=$1
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_model_dir=$2
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_log_path=$3
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_img_dir=$4
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_flag_quant=$5
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# inference
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for use_gpu in ${cpp_use_gpu_list[*]}; do
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if [ ${use_gpu} = "False" ] || [ ${use_gpu} = "cpu" ]; then
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for use_mkldnn in ${cpp_use_mkldnn_list[*]}; do
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if [ ${use_mkldnn} = "False" ] && [ ${_flag_quant} = "True" ]; then
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continue
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fi
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for threads in ${cpp_cpu_threads_list[*]}; do
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for batch_size in ${cpp_batch_size_list[*]}; do
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precision="fp32"
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if [ ${use_mkldnn} = "False" ] && [ ${_flag_quant} = "True" ]; then
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precison="int8"
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fi
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_save_log_path="${_log_path}/cpp_infer_cpu_usemkldnn_${use_mkldnn}_threads_${threads}_precision_${precision}_batchsize_${batch_size}.log"
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set_infer_data=$(func_set_params "${cpp_image_dir_key}" "${_img_dir}")
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set_benchmark=$(func_set_params "${cpp_benchmark_key}" "${cpp_benchmark_value}")
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set_batchsize=$(func_set_params "${cpp_batch_size_key}" "${batch_size}")
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set_mkldnn=$(func_set_params "${cpp_use_mkldnn_key}" "${use_mkldnn}")
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set_cpu_threads=$(func_set_params "${cpp_cpu_threads_key}" "${threads}")
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set_model_dir=$(func_set_params "${cpp_infer_model_key}" "${_model_dir}")
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set_infer_params1=$(func_set_params "${cpp_infer_key1}" "${cpp_infer_value1}")
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set_det=$(func_set_params "${cpp_det_key}" "${cpp_det_value}")
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set_rec=$(func_set_params "${cpp_rec_key}" "${cpp_rec_value}")
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set_cls=$(func_set_params "${cpp_cls_key}" "${cpp_cls_value}")
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set_use_angle_cls=$(func_set_params "${cpp_use_angle_cls_key}" "${cpp_use_angle_cls_value}")
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command="${_script} ${cpp_use_gpu_key}=${use_gpu} ${set_mkldnn} ${set_cpu_threads} ${set_model_dir} ${set_batchsize} ${set_infer_data} ${set_benchmark} ${set_det} ${set_rec} ${set_cls} ${set_use_angle_cls} ${set_infer_params1} > ${_save_log_path} 2>&1 "
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eval $command
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last_status=${PIPESTATUS[0]}
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eval "cat ${_save_log_path}"
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status_check $last_status "${command}" "${status_log}" "${model_name}" "${_save_log_path}"
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done
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done
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done
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elif [ ${use_gpu} = "True" ] || [ ${use_gpu} = "gpu" ]; then
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for use_trt in ${cpp_use_trt_list[*]}; do
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for precision in ${cpp_precision_list[*]}; do
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if [[ ${_flag_quant} = "False" ]] && [[ ${precision} =~ "int8" ]]; then
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continue
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fi
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if [[ ${precision} =~ "fp16" || ${precision} =~ "int8" ]] && [ ${use_trt} = "False" ]; then
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continue
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fi
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if [[ ${use_trt} = "False" || ${precision} =~ "int8" ]] && [ ${_flag_quant} = "True" ]; then
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continue
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fi
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for batch_size in ${cpp_batch_size_list[*]}; do
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_save_log_path="${_log_path}/cpp_infer_gpu_usetrt_${use_trt}_precision_${precision}_batchsize_${batch_size}.log"
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set_infer_data=$(func_set_params "${cpp_image_dir_key}" "${_img_dir}")
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set_benchmark=$(func_set_params "${cpp_benchmark_key}" "${cpp_benchmark_value}")
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set_batchsize=$(func_set_params "${cpp_batch_size_key}" "${batch_size}")
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set_tensorrt=$(func_set_params "${cpp_use_trt_key}" "${use_trt}")
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set_precision=$(func_set_params "${cpp_precision_key}" "${precision}")
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set_model_dir=$(func_set_params "${cpp_infer_model_key}" "${_model_dir}")
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set_infer_params1=$(func_set_params "${cpp_infer_key1}" "${cpp_infer_value1}")
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set_det=$(func_set_params "${cpp_det_key}" "${cpp_det_value}")
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set_rec=$(func_set_params "${cpp_rec_key}" "${cpp_rec_value}")
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set_cls=$(func_set_params "${cpp_cls_key}" "${cpp_cls_value}")
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set_use_angle_cls=$(func_set_params "${cpp_use_angle_cls_key}" "${cpp_use_angle_cls_value}")
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command="${_script} ${cpp_use_gpu_key}=${use_gpu} ${set_tensorrt} ${set_precision} ${set_model_dir} ${set_batchsize} ${set_infer_data} ${set_benchmark} ${set_det} ${set_rec} ${set_cls} ${set_use_angle_cls} ${set_infer_params1} > ${_save_log_path} 2>&1 "
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eval $command
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last_status=${PIPESTATUS[0]}
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eval "cat ${_save_log_path}"
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status_check $last_status "${command}" "${status_log}" "${model_name}" "${_save_log_path}"
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done
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done
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done
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else
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echo "Does not support hardware other than CPU and GPU Currently!"
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fi
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done
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}
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cd deploy/cpp_infer
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if [ ${use_opencv} = "True" ]; then
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if [ -d "opencv-3.4.7/opencv3/" ] && [ $(md5sum opencv-3.4.7.tar.gz | awk -F ' ' '{print $1}') = "faa2b5950f8bee3f03118e600c74746a" ];then
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echo "################### build opencv skipped ###################"
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else
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echo "################### build opencv ###################"
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rm -rf opencv-3.4.7.tar.gz opencv-3.4.7/
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wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/opencv-3.4.7.tar.gz
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tar -xf opencv-3.4.7.tar.gz
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cd opencv-3.4.7/
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install_path=$(pwd)/opencv3
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rm -rf build
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mkdir build
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cd build
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cmake .. \
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-DCMAKE_INSTALL_PREFIX=${install_path} \
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-DCMAKE_BUILD_TYPE=Release \
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-DBUILD_SHARED_LIBS=OFF \
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-DWITH_IPP=OFF \
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-DBUILD_IPP_IW=OFF \
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-DWITH_LAPACK=OFF \
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-DWITH_EIGEN=OFF \
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-DCMAKE_INSTALL_LIBDIR=lib64 \
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-DWITH_ZLIB=ON \
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-DBUILD_ZLIB=ON \
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-DWITH_JPEG=ON \
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-DBUILD_JPEG=ON \
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-DWITH_PNG=ON \
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-DBUILD_PNG=ON \
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-DWITH_TIFF=ON \
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-DBUILD_TIFF=ON
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make -j
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make install
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cd ../..
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echo "################### build opencv finished ###################"
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fi
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fi
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echo "################### build PaddleOCR demo ####################"
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if [ ${use_opencv} = "True" ]; then
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OPENCV_DIR=$(pwd)/opencv-3.4.7/opencv3/
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else
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OPENCV_DIR=''
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fi
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if [ -d "paddle_inference/" ] ;then
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echo "################### download paddle inference skipped ###################"
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else
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echo "################### download paddle inference ###################"
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PADDLEInfer=$3
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if [ "" = "$PADDLEInfer" ];then
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wget -nc https://paddle-inference-lib.bj.bcebos.com/2.3.0/cxx_c/Linux/GPU/x86-64_gcc8.2_avx_mkl_cuda10.1_cudnn7.6.5_trt6.0.1.5/paddle_inference.tgz --no-check-certificate
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else
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wget -nc $PADDLEInfer --no-check-certificate
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fi
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tar zxf paddle_inference.tgz
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if [ ! -d "paddle_inference" ]; then
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ln -s paddle_inference_install_dir paddle_inference
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fi
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echo "################### download paddle inference finished ###################"
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fi
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LIB_DIR=$(pwd)/paddle_inference/
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CUDA_LIB_DIR=$(dirname `find /usr -name libcudart.so`)
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CUDNN_LIB_DIR=$(dirname `find /usr -name libcudnn.so`)
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BUILD_DIR=build
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rm -rf ${BUILD_DIR}
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mkdir ${BUILD_DIR}
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cd ${BUILD_DIR}
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cmake .. \
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-DPADDLE_LIB=${LIB_DIR} \
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-DWITH_MKL=ON \
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-DWITH_GPU=OFF \
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-DWITH_STATIC_LIB=OFF \
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-DWITH_TENSORRT=OFF \
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-DOPENCV_DIR=${OPENCV_DIR} \
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-DCUDNN_LIB=${CUDNN_LIB_DIR} \
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-DCUDA_LIB=${CUDA_LIB_DIR} \
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-DTENSORRT_DIR=${TENSORRT_DIR} \
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make -j
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cd ../../../
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echo "################### build PaddleOCR demo finished ###################"
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# set cuda device
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GPUID=$2
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if [ ${#GPUID} -le 0 ];then
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env="export CUDA_VISIBLE_DEVICES=0"
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else
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env="export CUDA_VISIBLE_DEVICES=${GPUID}"
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fi
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eval $env
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echo "################### run test ###################"
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export Count=0
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IFS="|"
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infer_quant_flag=(${cpp_infer_is_quant})
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for infer_model in ${cpp_infer_model_dir_list[*]}; do
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#run inference
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is_quant=${infer_quant_flag[Count]}
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func_cpp_inference "${inference_cmd}" "${infer_model}" "${LOG_PATH}" "${cpp_infer_img_dir}" ${is_quant}
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Count=$(($Count + 1))
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done
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