add autolog install
@@ -25,6 +25,7 @@ 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
@@ -129,6 +130,7 @@ if [ ${MODE} = "lite_train_lite_infer" ];then
array=(${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
# pretrain lite train data
wget -nc -P ./pretrain_models/ https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileNetV3_large_x0_5_pretrained.pdparams --no-check-certificate
wget -nc -P ./pretrain_models/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_mv3_db_v2.0_train.tar --no-check-certificate
@@ -646,6 +648,7 @@ if [ ${MODE} = "serving_infer" ];then
${python_name} -m pip install paddle-serving-server-gpu
${python_name} -m pip install paddle_serving_client
${python_name} -m pip install paddle-serving-app
+ ${python_name} -m pip install git+https://github.com/LDOUBLEV/AutoLog
# wget model
if [ ${model_name} == "ch_ppocr_mobile_v2_0_det_KL" ] || [ ${model_name} == "ch_ppocr_mobile_v2.0_rec_KL" ] ; then
wget -nc -P ./inference https://paddleocr.bj.bcebos.com/tipc_fake_model/ch_ppocr_mobile_v2.0_det_klquant_infer.tar --no-check-certificate
