RapidOCR
Project description
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)
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