FastDeploy/examples/vision/ocr/PP-OCRv3/rknpu2/cpp

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PPOCRv3 C++ Deployment Example

This directory provides examples that infer.cc fast finishes the deployment of PPOCRv3 on CPU/GPU and GPU accelerated by TensorRT.

Two steps before deployment

• 1. Software and hardware should meet the requirements. Please refer to FastDeploy Environment Requirements
• 2. Download the precompiled deployment library and samples code according to your development environment. Refer to FastDeploy Precompiled Library

Taking the CPU inference on Linux as an example, the compilation test can be completed by executing the following command in this directory. FastDeploy version 0.7.0 or above (x.x.x>=0.7.0) is required to support this model.

mkdir build
cd build
# Download the FastDeploy precompiled library. Users can choose your appropriate version in the `FastDeploy Precompiled Library` mentioned above
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-x.x.x
make -j


# Download model, image, and dictionary files
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

# CPU推理
./infer_static_shape_demo ./ch_PP-OCRv3_det_infer/ch_PP-OCRv3_det_infer.onnx \
                          ./ch_ppocr_mobile_v2.0_cls_infer/ch_ppocr_mobile_v2.0_cls_infer.onnx \
                          ./ch_PP-OCRv3_rec_infer/ch_PP-OCRv3_rec_infer.onnx \
                          ./ppocr_keys_v1.txt \
                          ./12.jpg \
                          0
# RKNPU推理
./infer_static_shape_demo ./ch_PP-OCRv3_det_infer/ch_PP-OCRv3_det_infer_rk3588_unquantized.rknn \
                            ./ch_ppocr_mobile_v2.0_cls_infer/ch_ppocr_mobile_v20_cls_infer_rk3588_unquantized.rknn \
                             ./ch_PP-OCRv3_rec_infer/ch_PP-OCRv3_rec_infer_rk3588_unquantized.rknn \
                              ./ppocr_keys_v1.txt \
                              ./12.jpg \
                              1

The above command works for Linux or MacOS. For SDK in Windows, refer to:

• How to use FastDeploy C++ SDK in Windows

The visualized result after running is as follows

Other Documents

• C++ API Reference
• PPOCR Model Description
• PPOCRv3 Python Deployment
• Model Prediction Results
• How to switch the model inference backend engine