#!/bin/bash FILENAME=$1 # MODE be one of ['lite_train_infer' 'whole_infer' 'whole_train_infer', 'infer', 'cpp_infer', 'serving_infer'] MODE=$2 dataline=$(cat ${FILENAME}) # parser params IFS=$'\n' lines=(${dataline}) function func_parser_key(){ strs=$1 IFS=":" array=(${strs}) tmp=${array[0]} echo ${tmp} } function func_parser_value(){ strs=$1 IFS=":" array=(${strs}) tmp=${array[1]} echo ${tmp} } IFS=$'\n' # The training params model_name=$(func_parser_value "${lines[1]}") trainer_list=$(func_parser_value "${lines[14]}") # MODE be one of ['lite_train_infer' 'whole_infer' 'whole_train_infer'] MODE=$2 if [ ${MODE} = "lite_train_infer" ];then # pretrain lite train data wget -nc -P ./pretrain_models/ https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileNetV3_large_x0_5_pretrained.pdparams wget -nc -P ./pretrain_models/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_mv3_db_v2.0_train.tar cd ./pretrain_models/ && tar xf det_mv3_db_v2.0_train.tar && cd ../ rm -rf ./train_data/icdar2015 rm -rf ./train_data/ic15_data wget -nc -P ./train_data/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/icdar2015_lite.tar wget -nc -P ./train_data/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/ic15_data.tar # todo change to bcebos wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/rec_inference.tar wget -nc -P ./deploy/slim/prune https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/sen.pickle cd ./train_data/ && tar xf icdar2015_lite.tar && tar xf ic15_data.tar ln -s ./icdar2015_lite ./icdar2015 cd ../ cd ./inference && tar xf rec_inference.tar && cd ../ elif [ ${MODE} = "whole_train_infer" ];then wget -nc -P ./pretrain_models/ https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileNetV3_large_x0_5_pretrained.pdparams rm -rf ./train_data/icdar2015 rm -rf ./train_data/ic15_data wget -nc -P ./train_data/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/icdar2015.tar wget -nc -P ./train_data/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/ic15_data.tar cd ./train_data/ && tar xf icdar2015.tar && tar xf ic15_data.tar && cd ../ elif [ ${MODE} = "whole_infer" ];then wget -nc -P ./pretrain_models/ https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileNetV3_large_x0_5_pretrained.pdparams rm -rf ./train_data/icdar2015 rm -rf ./train_data/ic15_data wget -nc -P ./train_data/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/icdar2015_infer.tar wget -nc -P ./train_data/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/ic15_data.tar cd ./train_data/ && tar xf icdar2015_infer.tar && tar xf ic15_data.tar ln -s ./icdar2015_infer ./icdar2015 cd ../ elif [ ${MODE} = "infer" ];then if [ ${model_name} = "ocr_det" ]; then eval_model_name="ch_ppocr_mobile_v2.0_det_train" rm -rf ./train_data/icdar2015 wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/ch_det_data_50.tar wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar cd ./inference && tar xf ${eval_model_name}.tar && tar xf ch_det_data_50.tar && cd ../ elif [ ${model_name} = "ocr_server_det" ]; then wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/ch_det_data_50.tar cd ./inference && tar xf ch_ppocr_server_v2.0_det_infer.tar && tar xf ch_det_data_50.tar && cd ../ elif [ ${model_name} = "ocr_system_mobile" ]; then wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/ch_det_data_50.tar wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar cd ./inference && tar xf ch_ppocr_mobile_v2.0_det_infer.tar && tar xf ch_ppocr_mobile_v2.0_rec_infer.tar && tar xf ch_det_data_50.tar && cd ../ elif [ ${model_name} = "ocr_system_server" ]; then wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/ch_det_data_50.tar wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar cd ./inference && tar xf ch_ppocr_server_v2.0_det_infer.tar && tar xf ch_ppocr_server_v2.0_rec_infer.tar && tar xf ch_det_data_50.tar && cd ../ else rm -rf ./train_data/ic15_data eval_model_name="ch_ppocr_mobile_v2.0_rec_infer" wget -nc -P ./inference/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/rec_inference.tar wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar cd ./inference && tar xf ${eval_model_name}.tar && tar xf rec_inference.tar && cd ../ fi elif [ ${MODE} = "cpp_infer" ];then if [ ${model_name} = "ocr_det" ]; then wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/ch_det_data_50.tar wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar cd ./inference && tar xf ch_ppocr_mobile_v2.0_det_infer.tar && tar xf ch_det_data_50.tar && cd ../ elif [ ${model_name} = "ocr_rec" ]; then wget -nc -P ./inference/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/rec_inference.tar wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar cd ./inference && tar xf ch_ppocr_mobile_v2.0_rec_infer.tar && tar xf rec_inference.tar && cd ../ elif [ ${model_name} = "ocr_system" ]; then wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/ch_det_data_50.tar wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar cd ./inference && tar xf ch_ppocr_mobile_v2.0_det_infer.tar && tar xf ch_ppocr_mobile_v2.0_rec_infer.tar && tar xf ch_det_data_50.tar && cd ../ fi fi if [ ${MODE} = "serving_infer" ];then # prepare serving env python_name=$(func_parser_value "${lines[2]}") ${python_name} -m pip install install paddle-serving-server-gpu==0.6.1.post101 ${python_name} -m pip install paddle_serving_client==0.6.1 ${python_name} -m pip install paddle-serving-app==0.6.1 wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar cd ./inference && tar xf ch_ppocr_mobile_v2.0_det_infer.tar && tar xf ch_ppocr_mobile_v2.0_rec_infer.tar && cd ../ fi if [ ${MODE} = "cpp_infer" ];then cd deploy/cpp_infer use_opencv=$(func_parser_value "${lines[52]}") if [ ${use_opencv} = "True" ]; then if [ -d "opencv-3.4.7/opencv3/" ] && [ $(md5sum opencv-3.4.7.tar.gz | awk -F ' ' '{print $1}') = "faa2b5950f8bee3f03118e600c74746a" ];then echo "################### build opencv skipped ###################" else echo "################### build opencv ###################" rm -rf opencv-3.4.7.tar.gz opencv-3.4.7/ wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/opencv-3.4.7.tar.gz tar -xf opencv-3.4.7.tar.gz cd opencv-3.4.7/ install_path=$(pwd)/opencv3 rm -rf build mkdir build cd build cmake .. \ -DCMAKE_INSTALL_PREFIX=${install_path} \ -DCMAKE_BUILD_TYPE=Release \ -DBUILD_SHARED_LIBS=OFF \ -DWITH_IPP=OFF \ -DBUILD_IPP_IW=OFF \ -DWITH_LAPACK=OFF \ -DWITH_EIGEN=OFF \ -DCMAKE_INSTALL_LIBDIR=lib64 \ -DWITH_ZLIB=ON \ -DBUILD_ZLIB=ON \ -DWITH_JPEG=ON \ -DBUILD_JPEG=ON \ -DWITH_PNG=ON \ -DBUILD_PNG=ON \ -DWITH_TIFF=ON \ -DBUILD_TIFF=ON make -j make install cd ../ echo "################### build opencv finished ###################" fi fi echo "################### build PaddleOCR demo ####################" if [ ${use_opencv} = "True" ]; then OPENCV_DIR=$(pwd)/opencv-3.4.7/opencv3/ else OPENCV_DIR='' fi LIB_DIR=$(pwd)/Paddle/build/paddle_inference_install_dir/ CUDA_LIB_DIR=$(dirname `find /usr -name libcudart.so`) CUDNN_LIB_DIR=$(dirname `find /usr -name libcudnn.so`) BUILD_DIR=build rm -rf ${BUILD_DIR} mkdir ${BUILD_DIR} cd ${BUILD_DIR} cmake .. \ -DPADDLE_LIB=${LIB_DIR} \ -DWITH_MKL=ON \ -DWITH_GPU=OFF \ -DWITH_STATIC_LIB=OFF \ -DWITH_TENSORRT=OFF \ -DOPENCV_DIR=${OPENCV_DIR} \ -DCUDNN_LIB=${CUDNN_LIB_DIR} \ -DCUDA_LIB=${CUDA_LIB_DIR} \ -DTENSORRT_DIR=${TENSORRT_DIR} \ make -j echo "################### build PaddleOCR demo finished ###################" fi