提交 88fc3318 编写于 作者: A andyjpaddle

add cpp serving tipc

上级 d75b1229
......@@ -30,7 +30,7 @@ client.load_client_config(sys.argv[1:])
client.connect(["127.0.0.1:9293"])
import paddle
test_img_dir = "../../doc/imgs/"
test_img_dir = "../../doc/imgs/1.jpg"
ocr_reader = OCRReader(char_dict_path="../../ppocr/utils/ppocr_keys_v1.txt")
......@@ -40,12 +40,29 @@ def cv2_to_base64(image):
'utf8') #data.tostring()).decode('utf8')
for img_file in os.listdir(test_img_dir):
with open(os.path.join(test_img_dir, img_file), 'rb') as file:
def _check_image_file(path):
img_end = {'jpg', 'bmp', 'png', 'jpeg', 'rgb', 'tif', 'tiff', 'gif'}
return any([path.lower().endswith(e) for e in img_end])
test_img_list = []
if os.path.isfile(test_img_dir) and _check_image_file(test_img_dir):
test_img_list.append(test_img_dir)
elif os.path.isdir(test_img_dir):
for single_file in os.listdir(test_img_dir):
file_path = os.path.join(test_img_dir, single_file)
if os.path.isfile(file_path) and _check_image_file(file_path):
test_img_list.append(file_path)
if len(test_img_list) == 0:
raise Exception("not found any img file in {}".format(test_img_dir))
for img_file in test_img_list:
with open(img_file, 'rb') as file:
image_data = file.read()
image = cv2_to_base64(image_data)
res_list = []
fetch_map = client.predict(feed={"x": image}, fetch=[], batch=True)
print(fetch_map)
one_batch_res = ocr_reader.postprocess(fetch_map, with_score=True)
for res in one_batch_res:
res_list.append(res[0])
......
feed_var {
name: "x"
alias_name: "x"
is_lod_tensor: false
feed_type: 20
shape: 1
}
fetch_var {
name: "save_infer_model/scale_0.tmp_1"
alias_name: "save_infer_model/scale_0.tmp_1"
is_lod_tensor: false
fetch_type: 1
shape: 1
shape: 640
shape: 640
}
#使用镜像:
#registry.baidubce.com/paddlepaddle/paddle:latest-dev-cuda10.1-cudnn7-gcc82
#编译Serving Server:
#client和app可以直接使用release版本
#server因为加入了自定义OP,需要重新编译
apt-get update
apt install -y libcurl4-openssl-dev libbz2-dev
wget https://paddle-serving.bj.bcebos.com/others/centos_ssl.tar && tar xf centos_ssl.tar && rm -rf centos_ssl.tar && mv libcrypto.so.1.0.2k /usr/lib/libcrypto.so.1.0.2k && mv libssl.so.1.0.2k /usr/lib/libssl.so.1.0.2k && ln -sf /usr/lib/libcrypto.so.1.0.2k /usr/lib/libcrypto.so.10 && ln -sf /usr/lib/libssl.so.1.0.2k /usr/lib/libssl.so.10 && ln -sf /usr/lib/libcrypto.so.10 /usr/lib/libcrypto.so && ln -sf /usr/lib/libssl.so.10 /usr/lib/libssl.so
# 安装go依赖
rm -rf /usr/local/go
wget -qO- https://paddle-ci.cdn.bcebos.com/go1.17.2.linux-amd64.tar.gz | tar -xz -C /usr/local
export GOROOT=/usr/local/go
export GOPATH=/root/gopath
export PATH=$PATH:$GOPATH/bin:$GOROOT/bin
go env -w GO111MODULE=on
go env -w GOPROXY=https://goproxy.cn,direct
go install github.com/grpc-ecosystem/grpc-gateway/protoc-gen-grpc-gateway@v1.15.2
go install github.com/grpc-ecosystem/grpc-gateway/protoc-gen-swagger@v1.15.2
go install github.com/golang/protobuf/protoc-gen-go@v1.4.3
go install google.golang.org/grpc@v1.33.0
go env -w GO111MODULE=auto
# 下载opencv库
wget https://paddle-qa.bj.bcebos.com/PaddleServing/opencv3.tar.gz && tar -xvf opencv3.tar.gz && rm -rf opencv3.tar.gz
export OPENCV_DIR=$PWD/opencv3
# clone Serving
git clone https://github.com/PaddlePaddle/Serving.git -b develop --depth=1
cd Serving
export Serving_repo_path=$PWD
git submodule update --init --recursive
python -m pip install -r python/requirements.txt
export PYTHON_INCLUDE_DIR=$(python -c "from distutils.sysconfig import get_python_inc; print(get_python_inc())")
export PYTHON_LIBRARIES=$(python -c "import distutils.sysconfig as sysconfig; print(sysconfig.get_config_var('LIBDIR'))")
export PYTHON_EXECUTABLE=`which python`
export CUDA_PATH='/usr/local/cuda'
export CUDNN_LIBRARY='/usr/local/cuda/lib64/'
export CUDA_CUDART_LIBRARY='/usr/local/cuda/lib64/'
export TENSORRT_LIBRARY_PATH='/usr/local/TensorRT6-cuda10.1-cudnn7/targets/x86_64-linux-gnu/'
# cp 自定义OP代码
cp -rf ../deploy/pdserving/general_detection_op.cpp ${Serving_repo_path}/core/general-server/op
# 编译Server, export SERVING_BIN
mkdir server-build-gpu-opencv && cd server-build-gpu-opencv
cmake -DPYTHON_INCLUDE_DIR=$PYTHON_INCLUDE_DIR \
-DPYTHON_LIBRARIES=$PYTHON_LIBRARIES \
-DPYTHON_EXECUTABLE=$PYTHON_EXECUTABLE \
-DCUDA_TOOLKIT_ROOT_DIR=${CUDA_PATH} \
-DCUDNN_LIBRARY=${CUDNN_LIBRARY} \
-DCUDA_CUDART_LIBRARY=${CUDA_CUDART_LIBRARY} \
-DTENSORRT_ROOT=${TENSORRT_LIBRARY_PATH} \
-DOPENCV_DIR=${OPENCV_DIR} \
-DWITH_OPENCV=ON \
-DSERVER=ON \
-DWITH_GPU=ON ..
make -j32
python -m pip install python/dist/paddle*
export SERVING_BIN=$PWD/core/general-server/serving
cd ../../
===========================serving_params===========================
model_name:ch_PP-OCRv2
python:python3.7
trans_model:-m paddle_serving_client.convert
--det_dirname:./inference/ch_PP-OCRv2_det_infer/
--model_filename:inference.pdmodel
--params_filename:inference.pdiparams
--det_serving_server:./deploy/pdserving/ppocr_det_v2_serving/
--det_serving_client:./deploy/pdserving/ppocr_det_v2_client/
--rec_dirname:./inference/ch_PP-OCRv2_rec_infer/
--rec_serving_server:./deploy/pdserving/ppocr_rec_v2_serving/
--rec_serving_client:./deploy/pdserving/ppocr_rec_v2_client/
serving_dir:./deploy/pdserving
web_service:-m paddle_serving_server.serve
--op:GeneralDetectionOp GeneralInferOp
--port:9293
device:gpu
cpp_client:ocr_cpp_client.py
--image_dir:../../doc/imgs
===========================serving_params===========================
model_name:ch_PP-OCRv3
python:python3.7
trans_model:-m paddle_serving_client.convert
--det_dirname:./inference/ch_PP-OCRv3_det_infer/
--model_filename:inference.pdmodel
--params_filename:inference.pdiparams
--det_serving_server:./deploy/pdserving/ppocr_det_v3_serving/
--det_serving_client:./deploy/pdserving/ppocr_det_v3_client/
--rec_dirname:./inference/ch_PP-OCRv3_rec_infer/
--rec_serving_server:./deploy/pdserving/ppocr_rec_v3_serving/
--rec_serving_client:./deploy/pdserving/ppocr_rec_v3_client/
serving_dir:./deploy/pdserving
web_service:-m paddle_serving_server.serve
--op:GeneralDetectionOp GeneralInferOp
--port:9293
device:gpu
cpp_client:ocr_cpp_client.py
--image_dir:../../doc/imgs
===========================serving_params===========================
model_name:ch_ppocr_mobile_v2.0
python:python3.7
trans_model:-m paddle_serving_client.convert
--det_dirname:./inference/ch_ppocr_mobile_v2.0_det_infer/
--model_filename:inference.pdmodel
--params_filename:inference.pdiparams
--det_serving_server:./deploy/pdserving/ppocr_det_mobile_serving/
--det_serving_client:./deploy/pdserving/ppocr_det_mobile_client/
--rec_dirname:./inference/ch_ppocr_mobile_v2.0_rec_infer/
--rec_serving_server:./deploy/pdserving/ppocr_rec_mobile_serving/
--rec_serving_client:./deploy/pdserving/ppocr_rec_mobile_client/
serving_dir:./deploy/pdserving
web_service:-m paddle_serving_server.serve
--op:GeneralDetectionOp GeneralInferOp
--port:9293
device:gpu
cpp_client:ocr_cpp_client.py
--image_dir:../../doc/imgs
===========================serving_params===========================
model_name:ch_ppocr_server_v2.0
python:python3.7
trans_model:-m paddle_serving_client.convert
--det_dirname:./inference/ch_ppocr_server_v2.0_det_infer/
--model_filename:inference.pdmodel
--params_filename:inference.pdiparams
--det_serving_server:./deploy/pdserving/ppocr_det_server_serving/
--det_serving_client:./deploy/pdserving/ppocr_det_server_client/
--rec_dirname:./inference/ch_ppocr_server_v2.0_rec_infer/
--rec_serving_server:./deploy/pdserving/ppocr_rec_server_serving/
--rec_serving_client:./deploy/pdserving/ppocr_rec_server_client/
serving_dir:./deploy/pdserving
web_service:-m paddle_serving_server.serve
--op:GeneralDetectionOp GeneralInferOp
--port:9293
device:gpu
cpp_client:ocr_cpp_client.py
--image_dir:../../doc/imgs
#!/bin/bash
source test_tipc/common_func.sh
function func_parser_model_config(){
strs=$1
IFS="/"
array=(${strs})
tmp=${array[-1]}
echo ${tmp}
}
FILENAME=$1
dataline=$(awk 'NR==1, NR==19{print}' $FILENAME)
# parser params
IFS=$'\n'
lines=(${dataline})
# parser serving
model_name=$(func_parser_value "${lines[1]}")
python_list=$(func_parser_value "${lines[2]}")
trans_model_py=$(func_parser_value "${lines[3]}")
det_infer_model_dir_key=$(func_parser_key "${lines[4]}")
det_infer_model_dir_value=$(func_parser_value "${lines[4]}")
model_filename_key=$(func_parser_key "${lines[5]}")
model_filename_value=$(func_parser_value "${lines[5]}")
params_filename_key=$(func_parser_key "${lines[6]}")
params_filename_value=$(func_parser_value "${lines[6]}")
det_serving_server_key=$(func_parser_key "${lines[7]}")
det_serving_server_value=$(func_parser_value "${lines[7]}")
det_serving_client_key=$(func_parser_key "${lines[8]}")
det_serving_client_value=$(func_parser_value "${lines[8]}")
rec_infer_model_dir_key=$(func_parser_key "${lines[9]}")
rec_infer_model_dir_value=$(func_parser_value "${lines[9]}")
rec_serving_server_key=$(func_parser_key "${lines[10]}")
rec_serving_server_value=$(func_parser_value "${lines[10]}")
rec_serving_client_key=$(func_parser_key "${lines[11]}")
rec_serving_client_value=$(func_parser_value "${lines[11]}")
det_server_value=$(func_parser_model_config "${lines[7]}")
det_client_value=$(func_parser_model_config "${lines[8]}")
rec_server_value=$(func_parser_model_config "${lines[10]}")
rec_client_value=$(func_parser_model_config "${lines[11]}")
serving_dir_value=$(func_parser_value "${lines[12]}")
web_service_py=$(func_parser_value "${lines[13]}")
op_key=$(func_parser_key "${lines[14]}")
op_value=$(func_parser_value "${lines[14]}")
port_key=$(func_parser_key "${lines[15]}")
port_value=$(func_parser_value "${lines[15]}")
device_value=$(func_parser_value "${lines[16]}")
cpp_client_py=$(func_parser_value "${lines[17]}")
image_dir_key=$(func_parser_key "${lines[18]}")
image_dir_value=$(func_parser_value "${lines[18]}")
LOG_PATH="$(pwd)/test_tipc/output/${model_name}/cpp_serving"
mkdir -p ${LOG_PATH}
status_log="${LOG_PATH}/results_cpp_serving.log"
function func_serving(){
IFS='|'
_python=$1
_script=$2
_model_dir=$3
# pdserving
set_model_filename=$(func_set_params "${model_filename_key}" "${model_filename_value}")
set_params_filename=$(func_set_params "${params_filename_key}" "${params_filename_value}")
if [ ${model_name} = "ch_PP-OCRv2" ] || [ ${model_name} = "ch_PP-OCRv3" ] || [ ${model_name} = "ch_ppocr_mobile_v2.0" ] || [ ${model_name} = "ch_ppocr_server_v2.0" ]; then
# trans det
set_dirname=$(func_set_params "--dirname" "${det_infer_model_dir_value}")
set_serving_server=$(func_set_params "--serving_server" "${det_serving_server_value}")
set_serving_client=$(func_set_params "--serving_client" "${det_serving_client_value}")
python_list=(${python_list})
trans_model_cmd="${python_list[0]} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client}"
eval $trans_model_cmd
cp "deploy/pdserving/serving_client_conf.prototxt" ${det_serving_client_value}
# trans rec
set_dirname=$(func_set_params "--dirname" "${rec_infer_model_dir_value}")
set_serving_server=$(func_set_params "--serving_server" "${rec_serving_server_value}")
set_serving_client=$(func_set_params "--serving_client" "${rec_serving_client_value}")
python_list=(${python_list})
trans_model_cmd="${python_list[0]} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client}"
eval $trans_model_cmd
elif [ ${model_name} = "ch_PP-OCRv2_det" ] || [ ${model_name} = "ch_PP-OCRv3_det" ] || [ ${model_name} = "ch_ppocr_mobile_v2.0_det" ] || [ ${model_name} = "ch_ppocr_server_v2.0_det" ]; then
# trans det
set_dirname=$(func_set_params "--dirname" "${det_infer_model_dir_value}")
set_serving_server=$(func_set_params "--serving_server" "${det_serving_server_value}")
set_serving_client=$(func_set_params "--serving_client" "${det_serving_client_value}")
python_list=(${python_list})
trans_model_cmd="${python_list[0]} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client}"
eval $trans_model_cmd
cp "deploy/pdserving/serving_client_conf.prototxt" ${det_serving_client_value}
elif [ ${model_name} = "ch_PP-OCRv2_rec" ] || [ ${model_name} = "ch_PP-OCRv3_rec" ] || [ ${model_name} = "ch_ppocr_mobile_v2.0_rec" ] || [ ${model_name} = "ch_ppocr_server_v2.0_rec" ]; then
# trans rec
set_dirname=$(func_set_params "--dirname" "${rec_infer_model_dir_value}")
set_serving_server=$(func_set_params "--serving_server" "${rec_serving_server_value}")
set_serving_client=$(func_set_params "--serving_client" "${rec_serving_client_value}")
python_list=(${python_list})
trans_model_cmd="${python_list[0]} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client}"
eval $trans_model_cmd
fi
last_status=${PIPESTATUS[0]}
status_check $last_status "${trans_model_cmd}" "${status_log}" "${model_name}"
set_image_dir=$(func_set_params "${image_dir_key}" "${image_dir_value}")
python_list=(${python_list})
cd ${serving_dir_value}
export SERVING_BIN=/paddle/kaitao/tipc/PaddleOCR-cppinfer/deploy/pdserving/Serving/build_server/core/general-server/serving
# cpp serving
unset https_proxy
unset http_proxy
for device in ${device_value[*]}; do
if [ ${device} = "cpu" ]; then
if [ ${model_name} = "ch_PP-OCRv2" ] || [ ${model_name} = "ch_PP-OCRv3" ] || [ ${model_name} = "ch_ppocr_mobile_v2.0" ] || [ ${model_name} = "ch_ppocr_server_v2.0" ]; then
web_service_cpp_cmd="${python_list[0]} ${web_service_py} --model ${det_server_value} ${rec_server_value} ${op_key} ${op_value} ${port_key} ${port_value} > serving_log_cpu.log &"
elif [ ${model_name} = "ch_PP-OCRv2_det" ] || [ ${model_name} = "ch_PP-OCRv3_det" ] || [ ${model_name} = "ch_ppocr_mobile_v2.0_det" ] || [ ${model_name} = "ch_ppocr_server_v2.0_det" ]; then
web_service_cpp_cmd="${python_list[0]} ${web_service_py} --model ${det_server_value} ${op_key} ${op_value} ${port_key} ${port_value} > serving_log_cpu.log &"
elif [ ${model_name} = "ch_PP-OCRv2_rec" ] || [ ${model_name} = "ch_PP-OCRv3_rec" ] || [ ${model_name} = "ch_ppocr_mobile_v2.0_rec" ] || [ ${model_name} = "ch_ppocr_server_v2.0_rec" ]; then
web_service_cpp_cmd="${python_list[0]} ${web_service_py} --model ${rec_server_value} ${op_key} ${op_value} ${port_key} ${port_value} > serving_log_cpu.log &"
fi
eval $web_service_cpp_cmd
last_status=${PIPESTATUS[0]}
status_check $last_status "${web_service_cpp_cmd}" "${status_log}" "${model_name}"
sleep 5s
_save_log_path="${LOG_PATH}/server_infer_cpp_cpu.log"
if [ ${model_name} = "ch_PP-OCRv2" ] || [ ${model_name} = "ch_PP-OCRv3" ] || [ ${model_name} = "ch_ppocr_mobile_v2.0" ] || [ ${model_name} = "ch_ppocr_server_v2.0" ]; then
cpp_client_cmd="${python_list[0]} ${cpp_client_py} ${det_client_value} ${rec_client_value} > ${_save_log_path} 2>&1"
elif [ ${model_name} = "ch_PP-OCRv2_det" ] || [ ${model_name} = "ch_PP-OCRv3_det" ] || [ ${model_name} = "ch_ppocr_mobile_v2.0_det" ] || [ ${model_name} = "ch_ppocr_server_v2.0_det" ]; then
cpp_client_cmd="${python_list[0]} ${cpp_client_py} ${det_client_value} > ${_save_log_path} 2>&1"
elif [ ${model_name} = "ch_PP-OCRv2_rec" ] || [ ${model_name} = "ch_PP-OCRv3_rec" ] || [ ${model_name} = "ch_ppocr_mobile_v2.0_rec" ] || [ ${model_name} = "ch_ppocr_server_v2.0_rec" ]; then
cpp_client_cmd="${python_list[0]} ${cpp_client_py} ${rec_client_value} > ${_save_log_path} 2>&1"
fi
eval $cpp_client_cmd
last_status=${PIPESTATUS[0]}
status_check $last_status "${cpp_client_cmd}" "${status_log}" "${model_name}"
sleep 5s
ps ux | grep -i ${port_value} | awk '{print $2}' | xargs kill -s 9
ps ux | grep -i ${web_service_py} | awk '{print $2}' | xargs kill -s 9
elif [ ${device} = "gpu" ]; then
if [ ${model_name} = "ch_PP-OCRv2" ] || [ ${model_name} = "ch_PP-OCRv3" ] || [ ${model_name} = "ch_ppocr_mobile_v2.0" ] || [ ${model_name} = "ch_ppocr_server_v2.0" ]; then
web_service_cpp_cmd="${python_list[0]} ${web_service_py} --model ${det_server_value} ${rec_server_value} ${op_key} ${op_value} ${port_key} ${port_value} --gpu_id=0 > serving_log_gpu.log &"
elif [ ${model_name} = "ch_PP-OCRv2_det" ] || [ ${model_name} = "ch_PP-OCRv3_det" ] || [ ${model_name} = "ch_ppocr_mobile_v2.0_det" ] || [ ${model_name} = "ch_ppocr_server_v2.0_det" ]; then
web_service_cpp_cmd="${python_list[0]} ${web_service_py} --model ${det_server_value} ${op_key} ${op_value} ${port_key} ${port_value} --gpu_id=0 > serving_log_gpu.log &"
elif [ ${model_name} = "ch_PP-OCRv2_rec" ] || [ ${model_name} = "ch_PP-OCRv3_rec" ] || [ ${model_name} = "ch_ppocr_mobile_v2.0_rec" ] || [ ${model_name} = "ch_ppocr_server_v2.0_rec" ]; then
web_service_cpp_cmd="${python_list[0]} ${web_service_py} --model ${rec_server_value} ${op_key} ${op_value} ${port_key} ${port_value} --gpu_id=0 > serving_log_gpu.log &"
fi
eval $web_service_cpp_cmd
sleep 5s
_save_log_path="${LOG_PATH}/server_infer_cpp_gpu.log"
if [ ${model_name} = "ch_PP-OCRv2" ] || [ ${model_name} = "ch_PP-OCRv3" ] || [ ${model_name} = "ch_ppocr_mobile_v2.0" ] || [ ${model_name} = "ch_ppocr_server_v2.0" ]; then
cpp_client_cmd="${python_list[0]} ${cpp_client_py} ${det_client_value} ${rec_client_value} > ${_save_log_path} 2>&1"
elif [ ${model_name} = "ch_PP-OCRv2_det" ] || [ ${model_name} = "ch_PP-OCRv3_det" ] || [ ${model_name} = "ch_ppocr_mobile_v2.0_det" ] || [ ${model_name} = "ch_ppocr_server_v2.0_det" ]; then
cpp_client_cmd="${python_list[0]} ${cpp_client_py} ${det_client_value} > ${_save_log_path} 2>&1"
elif [ ${model_name} = "ch_PP-OCRv2_rec" ] || [ ${model_name} = "ch_PP-OCRv3_rec" ] || [ ${model_name} = "ch_ppocr_mobile_v2.0_rec" ] || [ ${model_name} = "ch_ppocr_server_v2.0_rec" ]; then
cpp_client_cmd="${python_list[0]} ${cpp_client_py} ${rec_client_value} > ${_save_log_path} 2>&1"
fi
eval $cpp_client_cmd
last_status=${PIPESTATUS[0]}
eval "cat ${_save_log_path}"
status_check $last_status "${cpp_client_cmd}" "${status_log}" "${model_name}"
sleep 5s
ps ux | grep -i ${port_value} | awk '{print $2}' | xargs kill -s 9
ps ux | grep -i ${web_service_py} | awk '{print $2}' | xargs kill -s 9
else
echo "Does not support hardware other than CPU and GPU Currently!"
fi
done
}
#set cuda device
GPUID=$2
if [ ${#GPUID} -le 0 ];then
env="export CUDA_VISIBLE_DEVICES=0"
else
env="export CUDA_VISIBLE_DEVICES=${GPUID}"
fi
eval $env
echo $env
echo "################### run test ###################"
export Count=0
IFS="|"
func_serving "${web_service_cpp_cmd}"
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