diff --git a/deploy/paddle2onnx/readme.md b/deploy/paddle2onnx/readme.md
index d195bb0cee85af6fdb26dcedafa9006bc26c3b61..e90461d4ebb33b6bd77aa237fafc82d3a72f523c 100644
--- a/deploy/paddle2onnx/readme.md
+++ b/deploy/paddle2onnx/readme.md
@@ -43,11 +43,11 @@ Refer to [Model Export Instructions](../../doc/doc_en/inference_en.md#1-convert-
Take the PP-OCRv3 detection, recognition, and classification model as an example:
```
-wget -nc -P ./inference https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_infer.tar
-cd ./inference && tar xf ch_PP-OCRv3_det_infer.tar && cd ..
+wget -nc -P ./inference https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_infer.tar
+cd ./inference && tar xf en_PP-OCRv3_det_infer.tar && cd ..
-wget -nc -P ./inference https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_infer.tar
-cd ./inference && tar xf ch_PP-OCRv3_rec_infer.tar && cd ..
+wget -nc -P ./inference https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_infer.tar
+cd ./inference && tar xf en_PP-OCRv3_rec_infer.tar && cd ..
wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar
cd ./inference && tar xf ch_ppocr_mobile_v2.0_cls_infer.tar && cd ..
@@ -58,7 +58,7 @@ cd ./inference && tar xf ch_ppocr_mobile_v2.0_cls_infer.tar && cd ..
Convert Paddle inference model to ONNX model format using Paddle2ONNX:
```
-paddle2onnx --model_dir ./inference/ch_PP-OCRv3_det_infer \
+paddle2onnx --model_dir ./inference/en_PP-OCRv3_det_infer \
--model_filename inference.pdmodel \
--params_filename inference.pdiparams \
--save_file ./inference/det_onnx/model.onnx \
@@ -66,7 +66,7 @@ paddle2onnx --model_dir ./inference/ch_PP-OCRv3_det_infer \
--input_shape_dict="{'x':[-1,3,-1,-1]}" \
--enable_onnx_checker True
-paddle2onnx --model_dir ./inference/ch_PP-OCRv3_rec_infer \
+paddle2onnx --model_dir ./inference/en_PP-OCRv3_rec_infer \
--model_filename inference.pdmodel \
--params_filename inference.pdiparams \
--save_file ./inference/rec_onnx/model.onnx \
@@ -90,24 +90,26 @@ After execution, the ONNX model will be saved in `./inference/det_onnx/`, `./inf
## 3. prediction
-Take the Chinese OCR model as an example, use **ONNXRuntime** to predict and execute the following commands:
+Take the English OCR model as an example, use **ONNXRuntime** to predict and execute the following commands:
```
python3.7 tools/infer/predict_system.py --use_gpu=False --use_onnx=True \
--det_model_dir=./inference/det_onnx/model.onnx \
--rec_model_dir=./inference/rec_onnx/model.onnx \
--cls_model_dir=./inference/cls_onnx/model.onnx \
---image_dir=./deploy/lite/imgs/lite_demo.png
+--image_dir=doc/imgs_en/img_12.jpg \
+--rec_char_dict_path=ppocr/utils/en_dict.txt
```
-Taking the Chinese OCR model as an example, use **Paddle Inference** to predict and execute the following commands:
+Taking the English OCR model as an example, use **Paddle Inference** to predict and execute the following commands:
```
python3.7 tools/infer/predict_system.py --use_gpu=False \
--cls_model_dir=./inference/ch_ppocr_mobile_v2.0_cls_infer \
---rec_model_dir=./inference/ch_PP-OCRv3_rec_infer \
---det_model_dir=./inference/ch_PP-OCRv3_det_infer \
---image_dir=./deploy/lite/imgs/lite_demo.png
+--rec_model_dir=./inference/en_PP-OCRv3_rec_infer \
+--det_model_dir=./inference/en_PP-OCRv3_det_infer \
+--image_dir=doc/imgs_en/img_12.jpg \
+--rec_char_dict_path=ppocr/utils/en_dict.txt
```
@@ -116,101 +118,53 @@ After executing the command, the predicted identification information will be pr
ONNXRuntime result:
-
+
Paddle Inference result:
-
+
Using ONNXRuntime to predict, terminal output:
```
-[2022/02/22 17:48:27] root DEBUG: dt_boxes num : 38, elapse : 0.043187856674194336
-[2022/02/22 17:48:27] root DEBUG: rec_res num : 38, elapse : 0.592170000076294
-[2022/02/22 17:48:27] root DEBUG: 0 Predict time of ./deploy/lite/imgs/lite_demo.png: 0.642s
-[2022/02/22 17:48:27] root DEBUG: The, 0.984
-[2022/02/22 17:48:27] root DEBUG: visualized, 0.882
-[2022/02/22 17:48:27] root DEBUG: etect18片, 0.720
-[2022/02/22 17:48:27] root DEBUG: image saved in./vis.jpg, 0.947
-[2022/02/22 17:48:27] root DEBUG: 纯臻营养护发素0.993604, 0.996
-[2022/02/22 17:48:27] root DEBUG: 产品信息/参数, 0.922
-[2022/02/22 17:48:27] root DEBUG: 0.992728, 0.914
-[2022/02/22 17:48:27] root DEBUG: (45元/每公斤,100公斤起订), 0.926
-[2022/02/22 17:48:27] root DEBUG: 0.97417, 0.977
-[2022/02/22 17:48:27] root DEBUG: 每瓶22元,1000瓶起订)0.993976, 0.962
-[2022/02/22 17:48:27] root DEBUG: 【品牌】:代加工方式/0EMODM, 0.945
-[2022/02/22 17:48:27] root DEBUG: 0.985133, 0.980
-[2022/02/22 17:48:27] root DEBUG: 【品名】:纯臻营养护发素, 0.921
-[2022/02/22 17:48:27] root DEBUG: 0.995007, 0.883
-[2022/02/22 17:48:27] root DEBUG: 【产品编号】:YM-X-30110.96899, 0.955
-[2022/02/22 17:48:27] root DEBUG: 【净含量】:220ml, 0.943
-[2022/02/22 17:48:27] root DEBUG: Q.996577, 0.932
-[2022/02/22 17:48:27] root DEBUG: 【适用人群】:适合所有肤质, 0.913
-[2022/02/22 17:48:27] root DEBUG: 0.995842, 0.969
-[2022/02/22 17:48:27] root DEBUG: 【主要成分】:鲸蜡硬脂醇、燕麦B-葡聚, 0.883
-[2022/02/22 17:48:27] root DEBUG: 0.961928, 0.964
-[2022/02/22 17:48:27] root DEBUG: 10, 0.812
-[2022/02/22 17:48:27] root DEBUG: 糖、椰油酰胺丙基甜菜碱、泛醒, 0.866
-[2022/02/22 17:48:27] root DEBUG: 0.925898, 0.943
-[2022/02/22 17:48:27] root DEBUG: (成品包材), 0.974
-[2022/02/22 17:48:27] root DEBUG: 0.972573, 0.961
-[2022/02/22 17:48:27] root DEBUG: 【主要功能】:可紧致头发磷层,从而达到, 0.936
-[2022/02/22 17:48:27] root DEBUG: 0.994448, 0.952
-[2022/02/22 17:48:27] root DEBUG: 13, 0.998
-[2022/02/22 17:48:27] root DEBUG: 即时持久改善头发光泽的效果,给干燥的头, 0.994
-[2022/02/22 17:48:27] root DEBUG: 0.990198, 0.975
-[2022/02/22 17:48:27] root DEBUG: 14, 0.977
-[2022/02/22 17:48:27] root DEBUG: 发足够的滋养, 0.991
-[2022/02/22 17:48:27] root DEBUG: 0.997668, 0.918
-[2022/02/22 17:48:27] root DEBUG: 花费了0.457335秒, 0.901
-[2022/02/22 17:48:27] root DEBUG: The visualized image saved in ./inference_results/lite_demo.png
-[2022/02/22 17:48:27] root INFO: The predict total time is 0.7003889083862305
+[2022/10/10 12:06:28] ppocr DEBUG: dt_boxes num : 11, elapse : 0.3568880558013916
+[2022/10/10 12:06:31] ppocr DEBUG: rec_res num : 11, elapse : 2.6445000171661377
+[2022/10/10 12:06:31] ppocr DEBUG: 0 Predict time of doc/imgs_en/img_12.jpg: 3.021s
+[2022/10/10 12:06:31] ppocr DEBUG: ACKNOWLEDGEMENTS, 0.997
+[2022/10/10 12:06:31] ppocr DEBUG: We would like to thank all the designers and, 0.976
+[2022/10/10 12:06:31] ppocr DEBUG: contributors who have been involved in the, 0.979
+[2022/10/10 12:06:31] ppocr DEBUG: production of this book; their contributions, 0.989
+[2022/10/10 12:06:31] ppocr DEBUG: have been indispensable to its creation. We, 0.956
+[2022/10/10 12:06:31] ppocr DEBUG: would also like to express our gratitude to all, 0.991
+[2022/10/10 12:06:31] ppocr DEBUG: the producers for their invaluable opinions, 0.978
+[2022/10/10 12:06:31] ppocr DEBUG: and assistance throughout this project. And to, 0.988
+[2022/10/10 12:06:31] ppocr DEBUG: the many others whose names are not credited, 0.958
+[2022/10/10 12:06:31] ppocr DEBUG: but have made specific input in this book, we, 0.970
+[2022/10/10 12:06:31] ppocr DEBUG: thank you for your continuous support., 0.998
+[2022/10/10 12:06:31] ppocr DEBUG: The visualized image saved in ./inference_results/img_12.jpg
+[2022/10/10 12:06:31] ppocr INFO: The predict total time is 3.2482550144195557
```
Using Paddle Inference to predict, terminal output:
```
-[2022/02/22 17:47:25] root DEBUG: dt_boxes num : 38, elapse : 0.11791276931762695
-[2022/02/22 17:47:27] root DEBUG: rec_res num : 38, elapse : 2.6206860542297363
-[2022/02/22 17:47:27] root DEBUG: 0 Predict time of ./deploy/lite/imgs/lite_demo.png: 2.746s
-[2022/02/22 17:47:27] root DEBUG: The, 0.984
-[2022/02/22 17:47:27] root DEBUG: visualized, 0.882
-[2022/02/22 17:47:27] root DEBUG: etect18片, 0.720
-[2022/02/22 17:47:27] root DEBUG: image saved in./vis.jpg, 0.947
-[2022/02/22 17:47:27] root DEBUG: 纯臻营养护发素0.993604, 0.996
-[2022/02/22 17:47:27] root DEBUG: 产品信息/参数, 0.922
-[2022/02/22 17:47:27] root DEBUG: 0.992728, 0.914
-[2022/02/22 17:47:27] root DEBUG: (45元/每公斤,100公斤起订), 0.926
-[2022/02/22 17:47:27] root DEBUG: 0.97417, 0.977
-[2022/02/22 17:47:27] root DEBUG: 每瓶22元,1000瓶起订)0.993976, 0.962
-[2022/02/22 17:47:27] root DEBUG: 【品牌】:代加工方式/0EMODM, 0.945
-[2022/02/22 17:47:27] root DEBUG: 0.985133, 0.980
-[2022/02/22 17:47:27] root DEBUG: 【品名】:纯臻营养护发素, 0.921
-[2022/02/22 17:47:27] root DEBUG: 0.995007, 0.883
-[2022/02/22 17:47:27] root DEBUG: 【产品编号】:YM-X-30110.96899, 0.955
-[2022/02/22 17:47:27] root DEBUG: 【净含量】:220ml, 0.943
-[2022/02/22 17:47:27] root DEBUG: Q.996577, 0.932
-[2022/02/22 17:47:27] root DEBUG: 【适用人群】:适合所有肤质, 0.913
-[2022/02/22 17:47:27] root DEBUG: 0.995842, 0.969
-[2022/02/22 17:47:27] root DEBUG: 【主要成分】:鲸蜡硬脂醇、燕麦B-葡聚, 0.883
-[2022/02/22 17:47:27] root DEBUG: 0.961928, 0.964
-[2022/02/22 17:47:27] root DEBUG: 10, 0.812
-[2022/02/22 17:47:27] root DEBUG: 糖、椰油酰胺丙基甜菜碱、泛醒, 0.866
-[2022/02/22 17:47:27] root DEBUG: 0.925898, 0.943
-[2022/02/22 17:47:27] root DEBUG: (成品包材), 0.974
-[2022/02/22 17:47:27] root DEBUG: 0.972573, 0.961
-[2022/02/22 17:47:27] root DEBUG: 【主要功能】:可紧致头发磷层,从而达到, 0.936
-[2022/02/22 17:47:27] root DEBUG: 0.994448, 0.952
-[2022/02/22 17:47:27] root DEBUG: 13, 0.998
-[2022/02/22 17:47:27] root DEBUG: 即时持久改善头发光泽的效果,给干燥的头, 0.994
-[2022/02/22 17:47:27] root DEBUG: 0.990198, 0.975
-[2022/02/22 17:47:27] root DEBUG: 14, 0.977
-[2022/02/22 17:47:27] root DEBUG: 发足够的滋养, 0.991
-[2022/02/22 17:47:27] root DEBUG: 0.997668, 0.918
-[2022/02/22 17:47:27] root DEBUG: 花费了0.457335秒, 0.901
-[2022/02/22 17:47:27] root DEBUG: The visualized image saved in ./inference_results/lite_demo.png
-[2022/02/22 17:47:27] root INFO: The predict total time is 2.8338775634765625
+[2022/10/10 12:06:28] ppocr DEBUG: dt_boxes num : 11, elapse : 0.3568880558013916
+[2022/10/10 12:06:31] ppocr DEBUG: rec_res num : 11, elapse : 2.6445000171661377
+[2022/10/10 12:06:31] ppocr DEBUG: 0 Predict time of doc/imgs_en/img_12.jpg: 3.021s
+[2022/10/10 12:06:31] ppocr DEBUG: ACKNOWLEDGEMENTS, 0.997
+[2022/10/10 12:06:31] ppocr DEBUG: We would like to thank all the designers and, 0.976
+[2022/10/10 12:06:31] ppocr DEBUG: contributors who have been involved in the, 0.979
+[2022/10/10 12:06:31] ppocr DEBUG: production of this book; their contributions, 0.989
+[2022/10/10 12:06:31] ppocr DEBUG: have been indispensable to its creation. We, 0.956
+[2022/10/10 12:06:31] ppocr DEBUG: would also like to express our gratitude to all, 0.991
+[2022/10/10 12:06:31] ppocr DEBUG: the producers for their invaluable opinions, 0.978
+[2022/10/10 12:06:31] ppocr DEBUG: and assistance throughout this project. And to, 0.988
+[2022/10/10 12:06:31] ppocr DEBUG: the many others whose names are not credited, 0.958
+[2022/10/10 12:06:31] ppocr DEBUG: but have made specific input in this book, we, 0.970
+[2022/10/10 12:06:31] ppocr DEBUG: thank you for your continuous support., 0.998
+[2022/10/10 12:06:31] ppocr DEBUG: The visualized image saved in ./inference_results/img_12.jpg
+[2022/10/10 12:06:31] ppocr INFO: The predict total time is 3.2482550144195557
```