add slanet to benckmark
@@ -25,7 +25,6 @@ if [ ${MODE} = "benchmark_train" ];then
array=(${python_name_list})
python_name=${array[0]}
${python_name} -m pip install -r requirements.txt
- ${python_name} -m pip install git+https://github.com/LDOUBLEV/AutoLog
if [[ ${model_name} =~ "ch_ppocr_mobile_v2_0_det" || ${model_name} =~ "det_mv3_db_v2_0" ]];then
wget -nc -P ./pretrain_models/ https://paddleocr.bj.bcebos.com/pretrained/MobileNetV3_large_x0_5_pretrained.pdparams --no-check-certificate
rm -rf ./train_data/icdar2015
@@ -101,6 +100,13 @@ if [ ${MODE} = "benchmark_train" ];then
ln -s ./pubtabnet_benckmark ./pubtabnet
cd ../
fi
+ if [[ ${model_name} == "slanet" ]];then
+ rm -rf ./train_data/pubtabnet
+ wget -nc -P ./train_data/ https://paddleocr.bj.bcebos.com/dataset/pubtabnet_benckmark.tar --no-check-certificate
+ cd ./train_data/ && tar xf pubtabnet_benckmark.tar
+ ln -s ./pubtabnet_benckmark ./pubtabnet
+ cd ../
+ fi
if [[ ${model_name} == "det_r50_dcn_fce_ctw_v2_0" ]]; then
wget -nc -P ./pretrain_models/ https://paddleocr.bj.bcebos.com/contribution/det_r50_dcn_fce_ctw_v2.0_train.tar --no-check-certificate
cd ./pretrain_models/ && tar xf det_r50_dcn_fce_ctw_v2.0_train.tar && cd ../
