diff --git a/doc/doc_en/quickstart_en.md b/doc/doc_en/quickstart_en.md index a5c0881de30bfd4b76d30c7840b6585b5d7e2af9..b897f3a3f49f8ce599c8a0e3d61fcaa657d23136 100644 --- a/doc/doc_en/quickstart_en.md +++ b/doc/doc_en/quickstart_en.md @@ -1,15 +1,15 @@ -# Quick start of Chinese OCR model +# Quick Start of Chinese OCR Model -## 1. Prepare for the environment +## 1. Environment Preparation 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](./whl_en.md). +* Note: Support the use of PaddleOCR through whl package installation,please refer [PaddleOCR Package](./whl_en.md). -## 2.inference models +## 2. Inference Models -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 v2.0 series model list](../doc_ch/models_list.md) +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 v2.0 series model list](../doc_en/models_list.md) | Model introduction | Model name | Recommended scene | Detection model | Direction Classifier | Recognition model | | ------------ | --------------- | ----------------|---- | ---------- | -------- | @@ -62,9 +62,9 @@ After decompression, the file structure should be as follows: └── inference.pdmodel ``` -## 3. Single image or image set prediction +## 3. Single Image or Image Set Prediction -* The following code implements text detection、angle class 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. +* The following code implements text detection、angle class 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 the detection inference model, the parameter `rec_model_dir` specifies the path to the recognition inference model, the parameter `use_angle_cls` specifies whether to use the direction classifier, the parameter `cls_model_dir` specifies the path to 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. @@ -93,8 +93,7 @@ python3 tools/infer/predict_system.py --image_dir="./doc/imgs/11.jpg" --det_mode - 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`. - 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`. - -For more text detection and recognition tandem reasoning, please refer to the document tutorial +For more text detection and recognition tandem inferring, please refer to the document tutorial : [Inference with Python inference engine](./inference_en.md)。 In addition, the tutorial also provides other deployment methods for the Chinese OCR model: