update hubserving default models to PP-OCRv2

deploy/hubserving/ocr_det/params.py

@@ -13,7 +13,7 @@ def read_params():
 
     #params for text detector
     cfg.det_algorithm = "DB"
-    cfg.det_model_dir = "./inference/ch_ppocr_mobile_v2.0_det_infer/"
+    cfg.det_model_dir = "./inference/ch_PP-OCRv2_det_infer/"
     cfg.det_limit_side_len = 960
     cfg.det_limit_type = 'max'
 

deploy/hubserving/ocr_rec/params.py

@@ -13,7 +13,7 @@ def read_params():
 
     #params for text recognizer
     cfg.rec_algorithm = "CRNN"
-    cfg.rec_model_dir = "./inference/ch_ppocr_mobile_v2.0_rec_infer/"
+    cfg.rec_model_dir = "./inference/ch_PP-OCRv2_rec_infer/"
 
     cfg.rec_image_shape = "3, 32, 320"
     cfg.rec_char_type = 'ch'

deploy/hubserving/ocr_system/params.py

@@ -13,7 +13,7 @@ def read_params():
 
     #params for text detector
     cfg.det_algorithm = "DB"
-    cfg.det_model_dir = "./inference/ch_ppocr_mobile_v2.0_det_infer/"
+    cfg.det_model_dir = "./inference/ch_PP-OCRv2_det_infer/"
     cfg.det_limit_side_len = 960
     cfg.det_limit_type = 'max'
 
@@ -31,7 +31,7 @@ def read_params():
 
     #params for text recognizer
     cfg.rec_algorithm = "CRNN"
-    cfg.rec_model_dir = "./inference/ch_ppocr_mobile_v2.0_rec_infer/"
+    cfg.rec_model_dir = "./inference/ch_PP-OCRv2_rec_infer/"
 
     cfg.rec_image_shape = "3, 32, 320"
     cfg.rec_char_type = 'ch'

deploy/hubserving/readme.md

@@ -34,10 +34,10 @@ pip3 install paddlehub==2.1.0 --upgrade -i https://pypi.tuna.tsinghua.edu.cn/sim
 ```
 
 ### 2. 下载推理模型
-安装服务模块前，需要准备推理模型并放到正确路径。默认使用的是v2.0版的超轻量模型，默认模型路径为：
+安装服务模块前，需要准备推理模型并放到正确路径。默认使用的是PP-OCRv2模型，默认模型路径为：
 ```
-检测模型：./inference/ch_ppocr_mobile_v2.0_det_infer/
-识别模型：./inference/ch_ppocr_mobile_v2.0_rec_infer/
+检测模型：./inference/ch_PP-OCRv2_det_infer/
+识别模型：./inference/ch_PP-OCRv2_rec_infer/
 方向分类器：./inference/ch_ppocr_mobile_v2.0_cls_infer/
 ```  
 

deploy/hubserving/readme_en.md

@@ -35,10 +35,10 @@ pip3 install paddlehub==2.1.0 --upgrade -i https://pypi.tuna.tsinghua.edu.cn/sim
 ```
 
 ### 2. Download inference model
-Before installing the service module, you need to prepare the inference model and put it in the correct path. By default, the ultra lightweight model of v2.0 is used, and the default model path is:  
+Before installing the service module, you need to prepare the inference model and put it in the correct path. By default, the PP-OCRv2 models are used, and the default model path is:  
 ```
-detection model: ./inference/ch_ppocr_mobile_v2.0_det_infer/
-recognition model: ./inference/ch_ppocr_mobile_v2.0_rec_infer/
+detection model: ./inference/ch_PP-OCRv2_det_infer/
+recognition model: ./inference/ch_PP-OCRv2_rec_infer/
 text direction classifier: ./inference/ch_ppocr_mobile_v2.0_cls_infer/
 ```