diff --git a/test/ocr_rec_params.txt b/test/ocr_rec_params.txt
index 7511296bfa2c292a88785087de9907ab1ff9f4be..6ce081ec0523e86ee22c192cde5e631ebe1f63b0 100644
--- a/test/ocr_rec_params.txt
+++ b/test/ocr_rec_params.txt
@@ -1,13 +1,12 @@
 model_name:ocr_rec
-python:python3.7
+python:python
 gpu_list:0|0,1
-Global.auto_cast:False
+Global.auto_cast:null
 Global.epoch_num:10
 Global.save_model_dir:./output/
-Global.save_inference_dir:./output/
 Train.loader.batch_size_per_card:
-Global.use_gpu
-Global.pretrained_model
+Global.use_gpu:
+Global.pretrained_model:null
 
 trainer:norm|pact
 norm_train:tools/train.py -c configs/rec/rec_mv3_none_bilstm_ctc.yml
@@ -17,6 +16,8 @@ distill_train:null
 
 eval:tools/eval.py -c configs/rec/rec_mv3_none_bilstm_ctc.yml -o
 
+Global.save_inference_dir:./output/
+Global.pretrained_model:
 norm_export:tools/export_model.py -c configs/rec/rec_mv3_none_bilstm_ctc.yml -o
 quant_export:deploy/slim/quantization/export_model.py -c configs/rec/rec_mv3_none_bilstm_ctc.yml -o
 fpgm_export:null
@@ -26,9 +27,9 @@ inference:tools/infer/predict_rec.py
 --use_gpu:True|False
 --enable_mkldnn:True|False
 --cpu_threads:1|6
---rec_batch_num:6
+--rec_batch_num:1
 --use_tensorrt:True|False
 --precision:fp32|fp16|int8
---rec_model_dir
---image_dir
---save_log_path
\ No newline at end of file
+--rec_model_dir:./inference/ch_ppocr_mobile_v2.0_rec_infer/
+--image_dir:./inference/rec_inference
+--save_log_path:./test/output/
\ No newline at end of file
diff --git a/test/prepare.sh b/test/prepare.sh
index 150682469641a784f641313d361bb921d6d9dfb8..e2427292ccf6f369662f7df83c0445dc46083b38 100644
--- a/test/prepare.sh
+++ b/test/prepare.sh
@@ -28,18 +28,22 @@ model_name=$(func_parser_value "${lines[0]}")
 train_model_list=$(func_parser_value "${lines[0]}")
 trainer_list=$(func_parser_value "${lines[10]}")
 
+echo $train_model_list
 # MODE be one of ['lite_train_infer' 'whole_infer' 'whole_train_infer']
 MODE=$2
-# prepare pretrained weights and dataset 
-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 ../
-
+# prepare pretrained weights and dataset
+if [ ${train_model_list[*]} = "ocr_det" ]; then
+  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 ../
+  fi
 if [ ${MODE} = "lite_train_infer" ];then
     # pretrain lite train data
     rm -rf ./train_data/icdar2015
     wget -nc -P ./train_data/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/icdar2015_lite.tar
-    cd ./train_data/ && tar xf icdar2015_lite.tar
+    wget -nc -P ./train_data/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/ic15_data.tar # todo change to bcebos
+
+    cd ./train_data/ && tar xf icdar2015_lite.tar && tar xf ic15_data.tar
     ln -s ./icdar2015_lite ./icdar2015
     cd ../
     epoch=10
@@ -47,13 +51,15 @@ if [ ${MODE} = "lite_train_infer" ];then
 elif [ ${MODE} = "whole_train_infer" ];then
     rm -rf ./train_data/icdar2015
     wget -nc -P ./train_data/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/icdar2015.tar
-    cd ./train_data/ && tar xf icdar2015.tar && cd ../
+    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 ../
     epoch=500
     eval_batch_step=200
 elif [ ${MODE} = "whole_infer" ];then
     rm -rf ./train_data/icdar2015
     wget -nc -P ./train_data/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/icdar2015_infer.tar
-    cd ./train_data/ && tar xf 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 ../
     epoch=10
@@ -86,9 +92,11 @@ for train_model in ${train_model_list[*]}; do
     elif [ ${train_model} = "ocr_rec" ];then
         model_name="ocr_rec"
         yml_file="configs/rec/rec_mv3_none_bilstm_ctc.yml"
-        wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/ch_rec_data_200.tar 
-        cd ./inference && tar xf ch_rec_data_200.tar  && cd ../
-        img_dir="./inference/ch_rec_data_200/"
+        wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/rec_inference.tar
+        cd ./inference && tar xf rec_inference.tar  && cd ../
+        img_dir="./inference/rec_inference/"
+        data_dir=./inference/rec_inference
+        data_label_file=[./inference/rec_inference/rec_gt_test.txt]
     fi
 
     # eval