Please refer to [quick installation](./installation_en.md) to configure the PaddleOCR operating environment.
Please refer to [quick installation](./installation_en.md) to configure the PaddleOCR operating environment.
*Note: Support the use of PaddleOCR through whl package installation，pelease refer [PaddleOCR Package](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_en/whl_en.md)。*
* Note: Support the use of PaddleOCR through whl package installation，pelease refer [PaddleOCR Package](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_en/whl_en.md).
## 2.inference models
## 2.inference models
| Name | Introduction | Detection model | Recognition model | Recognition model with space support |
The detection and recognition models on the mobile and server sides are as follows. For more models (including multiple languages), please refer to [PP-OCR v1.1 series model download](./doc_ch/models_list.md)
|-|-|-|-|-|
|chinese_db_crnn_mobile| Ultra-lightweight Chinese OCR model |[inference model](https://paddleocr.bj.bcebos.com/ch_models/ch_det_mv3_db_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/ch_models/ch_det_mv3_db.tar)|[inference model](https://paddleocr.bj.bcebos.com/ch_models/ch_rec_mv3_crnn_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/ch_models/ch_rec_mv3_crnn.tar)|[inference model](https://paddleocr.bj.bcebos.com/ch_models/ch_rec_mv3_crnn_enhance_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/ch_models/ch_rec_mv3_crnn_enhance.tar)
|chinese_db_crnn_server| Universal Chinese OCR model |[inference model](https://paddleocr.bj.bcebos.com/ch_models/ch_det_r50_vd_db_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/ch_models/ch_det_r50_vd_db.tar)|[inference model](https://paddleocr.bj.bcebos.com/ch_models/ch_rec_r34_vd_crnn_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/ch_models/ch_rec_r34_vd_crnn.tar)|[inference model](https://paddleocr.bj.bcebos.com/ch_models/ch_rec_r34_vd_crnn_enhance_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/ch_models/ch_rec_r34_vd_crnn_enhance.tar)
* If wget is not installed in the windows environment, you can copy the link to the browser to download when downloading the model, and uncompress it and place it in the corresponding directory.
| Model introduction | Model name | Recommended scene | Detection model | Direction Classifier | Recognition model |
* If `wget` is not installed in the windows environment, you can copy the link to the browser to download when downloading the model, and uncompress it and place it in the corresponding directory.
Copy the download address of the `inference model` for detection and recognition in the table above, and uncompress them.
Copy the download address of the `inference model` for detection and recognition in the table above, and uncompress them.
...
@@ -24,6 +27,8 @@ mkdir inference && cd inference
...
@@ -24,6 +27,8 @@ mkdir inference && cd inference
wget {url/of/detection/inference_model} && tar xf {name/of/detection/inference_model/package}
wget {url/of/detection/inference_model} && tar xf {name/of/detection/inference_model/package}
# Download the recognition model and unzip
# Download the recognition model and unzip
wget {url/of/recognition/inference_model} && tar xf {name/of/recognition/inference_model/package}
wget {url/of/recognition/inference_model} && tar xf {name/of/recognition/inference_model/package}
# Download the direction classifier model and unzip
wget {url/of/classification/inference_model} && tar xf {name/of/classification/inference_model/package}
cd ..
cd ..
```
```
...
@@ -32,9 +37,11 @@ Take the ultra-lightweight model as an example:
...
@@ -32,9 +37,11 @@ Take the ultra-lightweight model as an example:
```
```
mkdir inference && cd inference
mkdir inference && cd inference
# Download the detection model of the ultra-lightweight Chinese OCR model and uncompress it
# Download the detection model of the ultra-lightweight Chinese OCR model and uncompress it
wget https://paddleocr.bj.bcebos.com/ch_models/ch_det_mv3_db_infer.tar && tar xf ch_det_mv3_db_infer.tar
wget https://paddleocr.bj.bcebos.com/20-09-22/mobile/det/ch_ppocr_mobile_v1.1_det_infer.tar && tar xf ch_ppocr_mobile_v1.1_det_infer.tar
# Download the recognition model of the ultra-lightweight Chinese OCR model and uncompress it
# Download the recognition model of the ultra-lightweight Chinese OCR model and uncompress it
wget https://paddleocr.bj.bcebos.com/ch_models/ch_rec_mv3_crnn_infer.tar && tar xf ch_rec_mv3_crnn_infer.tar
wget https://paddleocr.bj.bcebos.com/20-09-22/mobile/rec/ch_ppocr_mobile_v1.1_rec_infer.tar && tar xf ch_ppocr_mobile_v1.1_rec_infer.tar
# Download the direction classifier model of the ultra-lightweight Chinese OCR model and uncompress it
wget https://paddleocr.bj.bcebos.com/20-09-22/cls/ch_ppocr_mobile-v1.1.cls_infer.tar && tar xf ch_ppocr_mobile-v1.1.cls_infer.tar
cd ..
cd ..
```
```
...
@@ -42,10 +49,13 @@ After decompression, the file structure should be as follows:
...
@@ -42,10 +49,13 @@ After decompression, the file structure should be as follows:
```
```
|-inference
|-inference
|-ch_rec_mv3_crnn
|-ch_ppocr_mobile_v1.1_det_infer
|- model
|- params
|-ch_ppocr_mobile_v1.1_rec_infer
|- model
|- model
|- params
|- params
|-ch_det_mv3_db
|-ch_ppocr_mobile-v1.1.cls_infer
|- model
|- model
|- params
|- params
...
...
...
@@ -53,20 +63,20 @@ After decompression, the file structure should be as follows:
...
@@ -53,20 +63,20 @@ After decompression, the file structure should be as follows:
## 3. Single image or image set prediction
## 3. Single image or image set prediction
* The following code implements text detection and recognition process. When performing prediction, you need to specify the path of a single image or image set through the parameter `image_dir`, the parameter `det_model_dir` specifies the path to detect the inference model, and the parameter `rec_model_dir` specifies the path to identify the inference model. The visual results are saved to the `./inference_results` folder by default.
* The following code implements text detection and recognition process. When performing prediction, you need to specify the path of a single image or image set through the parameter `image_dir`, the parameter `det_model_dir` specifies the path to detect the inference model, the parameter `rec_model_dir` specifies the path to identify the inference model, the parameter `use_angle_cls` specifies whether to use the direction classifier, the parameter `cls_model_dir` specifies the path to identify the direction classifier model, the parameter `use_space_char` specifies whether to predict the space char. The visual results are saved to the `./inference_results` folder by default.
- Universal Chinese OCR model with the support of space
* Note
- If you want to use the recognition model which does not support space char recognition, please update the source code to the latest version and add parameters `--use_space_char=False`.
Please follow the above steps to download the corresponding models and update the relevant parameters, The example is as follows.
- If you do not want to use direction classifier, please update the source code to the latest version and add parameters `--use_angle_cls=False`.
* Note: Please update the source code to the latest version and add parameters `--use_space_char=True`
