Please refer to [quick installation](./installation_en.md) to configure the PaddleOCR operating environment.
## 1. 轻量安装
* Note: Support the use of PaddleOCR through whl package installation，pelease refer [PaddleOCR Package](./whl_en.md).
### 1.0 Environment Preparation
## 2.inference models
环境配置
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)
| 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, then uncompress it and place it in the corresponding directory.
### 1.1 Install PaddlePaddle2.0
Copy the download address of the `inference model` for detection and recognition in the table above, and uncompress them.
```bash
# If you have cuda9 or cuda10 installed on your machine, please run the following command to install
wget {url/of/detection/inference_model} && tar xf {name/of/detection/inference_model/package}
# Download the recognition model and unzip
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 ..
For more software version requirements, please refer to the instructions in [Installation Document](https://www.paddlepaddle.org.cn/install/quick) for operation.
### 1.2 Install PaddleOCR Whl Package
```bash
pip install"paddleocr>=2.0.1"# Recommend to use version 2.0.1+
[[[393.0, 340.0], [1207.0, 342.0], [1207.0, 389.0], [393.0, 387.0]], ['We would like to thank all the designers and', 0.9357758]]
[[[399.0, 398.0], [1204.0, 398.0], [1204.0, 433.0], [399.0, 433.0]], ['contributors whohave been involved in the', 0.9592447]]
......
```
├── ch_ppocr_mobile_v2.0_cls_infer
│ ├── inference.pdiparams
│ ├── inference.pdiparams.info
│ └── inference.pdmodel
├── ch_ppocr_mobile_v2.0_det_infer
│ ├── inference.pdiparams
│ ├── inference.pdiparams.info
│ └── inference.pdmodel
├── ch_ppocr_mobile_v2.0_rec_infer
├── inference.pdiparams
├── inference.pdiparams.info
└── inference.pdmodel
* 更多whl包使用包括， whl包参数说明：
#### 2.1.2 Multi-language Model
Paddleocr currently supports 80 languages, which can be switched by modifying the --lang parameter.The specific supported [language](language_abbreviations) can be viewed in the table.
* 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 result is a list, each item contains a text box, text and recognition confidence
- 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`.
