prepare.sh

#!/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" ] || [ ${MODE} = "cpp_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" ]; 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 ../
    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 
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
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