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Ncnn Android Ppocrv5

Open source C++
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Mobile Development Screenshot & OCR

 About Ncnn Android Ppocrv5

ncnn android paddle ocr v5

Platforms

Web Self-hosted Android

Languages

C++

Links

Source Code

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Ncnn Android Ppocrv5

View on GitHub

ncnn-android-ppocrv5

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PPOCRv5

This is a sample ncnn android project, it depends on ncnn library and opencv

https://github.com/Tencent/ncnn

https://github.com/nihui/opencv-mobile

android apk file download

https://github.com/nihui/ncnn-android-ppocrv5/releases/latest

how to build and run

step1

https://github.com/Tencent/ncnn/releases

  • Download ncnn-YYYYMMDD-android-vulkan.zip or build ncnn for android yourself
  • Extract ncnn-YYYYMMDD-android-vulkan.zip into app/src/main/jni and change the ncnn_DIR path to yours in app/src/main/jni/CMakeLists.txt

step2

https://github.com/nihui/opencv-mobile

  • Download opencv-mobile-XYZ-android.zip
  • Extract opencv-mobile-XYZ-android.zip into app/src/main/jni and change the OpenCV_DIR path to yours in app/src/main/jni/CMakeLists.txt

step3

  • Open this project with Android Studio, build it and enjoy!

some notes

  • Android ndk camera is used for best efficiency
  • Crash may happen on very old devices for lacking HAL3 camera interface
  • All models are manually modified to accept dynamic input shape
  • Most small models run slower on GPU than on CPU, this is common
  • FPS may be lower in dark environment because of longer camera exposure time

screenshot

guidelines for converting PPOCRv5 models

  1. install paddleocr
pip install paddlepaddle==3.0.0
pip install paddleocr==3.0.0
paddlex --install paddle2onnx
  1. test paddleocr and export onnx models
paddleocr ocr -i test.png
paddlex --paddle2onnx --paddle_model_dir ~/.paddlex/official_models/PP-OCRv5_mobile_det --onnx_model_dir PP-OCRv5_mobile_det
paddlex --paddle2onnx --paddle_model_dir ~/.paddlex/official_models/PP-OCRv5_mobile_rec --onnx_model_dir PP-OCRv5_mobile_rec
  1. convert onnx models to ncnn with pnnx tool
pip install -U pnnx
pnnx PP-OCRv5_mobile_det.onnx inputshape=[1,3,320,320] inputshape2=[1,3,256,256]
pnnx PP-OCRv5_mobile_rec.onnx inputshape=[1,3,48,160] inputshape2=[1,3,48,256]
pnnx PP-OCRv5_server_det.onnx inputshape=[1,3,320,320] inputshape2=[1,3,256,256] fp16=0
pnnx PP-OCRv5_server_rec.onnx inputshape=[1,3,48,160] inputshape2=[1,3,48,256] fp16=0