add ResNet50_vd_ssld_pretrained (#4668)

* add ResNet50_vd_ssld_pretrained

* updata paddleocr version

benchmark/run_det.sh

@@ -6,6 +6,7 @@ python3.7 -m pip install -r requirements.txt
 wget -P ./train_data/  https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/icdar2015.tar && cd train_data  && tar xf icdar2015.tar && cd ../
 wget -P ./pretrain_models/ https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/ResNet50_vd_pretrained.pdparams
 wget -P ./pretrain_models/ https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/ResNet18_vd_pretrained.pdparams
+wget -P ./pretrain_models/ https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/ResNet50_vd_ssld_pretrained.pdparams
 # 3 批量运行（如不方便批量，1，2需放到单个模型中）
 
 model_mode_list=(det_res18_db_v2.0 det_r50_vd_east det_r50_vd_pse)

paddleocr.py

@@ -42,7 +42,7 @@ __all__ = [
 ]
 
 SUPPORT_DET_MODEL = ['DB']
-VERSION = '2.3.0.1'
+VERSION = '2.3.0.2'
 SUPPORT_REC_MODEL = ['CRNN']
 BASE_DIR = os.path.expanduser("~/.paddleocr/")