doc_whl_en.md

rapidocr-onnxruntime Package

1. Install package by pypi.

pip install rapidocr-onnxruntime

2. Download the models and config yaml.

wget https://github.com/RapidAI/RapidOCR/releases/download/v1.1.0/required_for_whl_v1.1.0.zip

# or by gitee
# wget https://gitee.com/RapidAI/RapidOCR/releases/download/v1.1.0/required_for_whl_v1.1.0.zip

unzip required_for_whl_v1.1.0.zip
cd required_for_whl_v1.1.0

• The final directory of the folder:

  required_for_whl_v1.1.0/
  ├── config.yaml
  ├── README.md
  ├── test_demo.py
  ├── resources
  │   └── models
  │       ├── ch_ppocr_mobile_v2.0_cls_infer.onnx
  │       ├── ch_PP-OCRv3_det_infer.onnx
  │       └── ch_PP-OCRv3_rec_infer.onnx
  └── test_images
      └── ch_en_num.jpg
  

3. Use.

import cv2
from rapidocr_onnxruntime import TextSystem

text_sys = TextSystem('config.yaml')

img = cv2.imread('test_images/ch_en_num.jpg')

dt_boxes, rec_res = text_sys(img)
print(rec_res)