PaddleOCR MCP Server

#!/bin/bash source test_tipc/common_func.sh FILENAME=$1 # MODE be one of ['lite_train_lite_infer' 'lite_train_whole_infer' 'whole_train_whole_infer', # 'whole_infer', 'klquant_whole_infer', # 'cpp_infer', 'serving_infer'] MODE=$2 dataline=$(cat ${FILENAME}) # parser params IFS=$'\n' lines=(${dataline}) # The training params model_name=$(func_parser_value "${lines[1]}") trainer_list=$(func_parser_value "${lines[14]}") if [ ${MODE} = "lite_train_lite_infer" ];then python_name_list=$(func_parser_value "${lines[2]}") array=(${python_name_list}) python_name=${array[0]} ${python_name} -m pip install -r requirement.txt if [[ ${model_name} =~ "det_res50_db" ]];then wget -nc https://paddle-wheel.bj.bcebos.com/benchmark/resnet50-19c8e357.pth -O /root/.cache/torch/hub/checkpoints/resnet50-19c8e357.pth # 下载数据集并解压 rm -rf datasets wget -nc https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/benchmark_train/datasets.tar tar xf datasets.tar fi elif [ ${MODE} = "benchmark_train" ];then python_name_list=$(func_parser_value "${lines[2]}") array=(${python_name_list}) python_name=${array[0]} ${python_name} -m pip install -r requirement.txt if [[ ${model_name} =~ "det_res50_db" ]];then wget -nc https://paddle-wheel.bj.bcebos.com/benchmark/resnet50-19c8e357.pth -O /root/.cache/torch/hub/checkpoints/resnet50-19c8e357.pth # 下载数据集并解压 rm -rf datasets wget -nc https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/benchmark_train/datasets.tar tar xf datasets.tar # expand gt.txt 2 times # cd ./train_data/icdar2015/text_localization # for i in `seq 2`;do cp train_icdar2015_label.txt dup$i.txt;done # cat dup* > train_icdar2015_label.txt && rm -rf dup* # cd ../../../ fi fi