This repository provides C++ implementations of PP-OCRv3 and PP-OCRv5, inspired by the official PaddleOCR project and using ncnn for inference.

The Release page contains a complete project archive that includes resources like models (v3 & v5) and images required to run the demo.

Demo

Usage

./main ../config.json ../images/ocr_img1.png

Requirements

• OpenCV 4.10.0
• ncnn 20241226
• OpenMP 3.0+

Benchmarks

I ran benchmarks on a RPi 4B using ocr_img1.png (simple) and ocr_img3.png (complex). You can find those images inside the release page archive.tar.gz.

Models	Latency / Peak memory for ocr_img1	Latency / Peak memory for ocr_img3
PP-OCRv3	387.80 ms / 101.3 MB	5213.68 ms / 273.6 MB
PP-OCRv5	387.05 ms / 98.95 MB	6740.93 ms / 335.7 MB

Notes

Enabling FP16 may be faster but can cause NaN results on some devices. Edit config.json to enable or disable FP16.

Implementation References

https://github.com/MhLiao/DB

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

https://github.com/FeiGeChuanShu/ncnn_paddleocr

https://github.com/PaddlePaddle/PaddleOCR