English | [简体中文](README_CN.md) # PPOCRv3 Python Deployment Example Two steps before deployment - 1. Software and hardware should meet the requirements. Please refer to [FastDeploy Environment Requirements](../../../../../../docs/en/build_and_install/download_prebuilt_libraries.md) - 2. Install FastDeploy Python whl package. Refer to [FastDeploy Python Installation](../../../../../../docs/en/build_and_install/download_prebuilt_libraries.md) This directory provides examples that `infer.py` fast finishes the deployment of PPOCRv3 on CPU/GPU and GPU accelerated by TensorRT. The script is as follows ``` wget https://gitee.com/paddlepaddle/PaddleOCR/raw/release/2.6/doc/imgs/12.jpg wget https://gitee.com/paddlepaddle/PaddleOCR/raw/release/2.6/ppocr/utils/ppocr_keys_v1.txt # Download the example code for deployment git clone https://github.com/PaddlePaddle/FastDeploy.git cd examples/vision/ocr/PP-OCRv3/python/ python3 infer_static_shape.py \ --det_model ./ch_PP-OCRv3_det_infer/ch_PP-OCRv3_det_infer.onnx \ --cls_model ./ch_ppocr_mobile_v2.0_cls_infer/ch_ppocr_mobile_v2.0_cls_infer.onnx \ --rec_model ./ch_PP-OCRv3_rec_infer/ch_PP-OCRv3_rec_infer.onnx \ --rec_label_file ./ppocr_keys_v1.txt \ --image 12.jpg \ --device cpu # NPU推理 python3 infer_static_shape.py \ --det_model ./ch_PP-OCRv3_det_infer/ch_PP-OCRv3_det_infer_rk3588_unquantized.rknn \ --cls_model ./ch_ppocr_mobile_v2.0_cls_infer/ch_ppocr_mobile_v20_cls_infer_rk3588_unquantized.rknn \ --rec_model ./ch_PP-OCRv3_rec_infer/ch_PP-OCRv3_rec_infer_rk3588_unquantized.rknn \ --rec_label_file ppocr_keys_v1.txt \ --image 12.jpg \ --device npu ``` The visualized result after running is as follows ## Other Documents - [Python API reference](https://baidu-paddle.github.io/fastdeploy-api/python/html/) - [PPOCR Model Description](../README.md) - [PPOCRv3 C++ Deployment](../cpp) - [Model Prediction Results](../../../../../../docs/api/vision_results/README.md) - [How to switch the model inference backend engine](../../../../../../docs/en/faq/how_to_change_backend.md)