Paddle2ONNX supports converting the PaddlePaddle model format to the ONNX model format. The operator currently supports exporting ONNX Opset 9~11 stably, and some Paddle operators support lower ONNX Opset conversion.
For more details, please refer to [Paddle2ONNX](https://github.com/PaddlePaddle/Paddle2ONNX/blob/develop/README_en.md)
- 安装 Paddle2ONNX
- install Paddle2ONNX
```
python3.7 -m pip install paddle2onnx
```
-安装 ONNXRuntime
-install ONNXRuntime
```
# 建议安装 1.9.0 版本，可根据环境更换版本号
# It is recommended to install version 1.9.0, and the version number can be changed according to the environment
There are two ways to obtain the Paddle model: Download the prediction model provided by PaddleOCR in [model_list](../../doc/doc_en/models_list_en.md);
Refer to [Model Export Instructions](../../doc/doc_en/inference_en.md#1-convert-training-model-to-inference-model) to convert the trained weights to inference_model.
以 ppocr 中文检测、识别、分类模型为例：
Take the PP-OCRv3 detection, recognition, and classification model as an example:
* Note: For the OCR model, the conversion process must be in the form of dynamic shape, that is, add the option --input_shape_dict="{'x': [-1, 3, -1, -1]}", otherwise the prediction result may be the same as Predicting directly with Paddle is slightly different.
In addition, the following models do not currently support conversion to ONNX models:
NRTR, SAR, RARE, SRN
## 3. 推理预测
## 3. prediction
以中文OCR模型为例，使用 ONNXRuntime 预测可执行如下命令：
Take the English OCR model as an example, use **ONNXRuntime** to predict and execute the following commands:
After executing the command, the predicted identification information will be printed out in the terminal, and the visualization results will be saved under `./inference_results/`.
