RapidOCR
Project description
rapidocr-openvino Package
1. Install package by pypi.
pip install rapidocr-openvino
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_openvino 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)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
Close
Hashes for rapidocr_openvino-0.0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6cec3637c1cdd822b085e520b95568c4a22b8db4cd0dfdba0eee83ecb7bcd299 |
|
MD5 | 243dc0537f49e07570e7c7c658c62043 |
|
BLAKE2b-256 | 1368d564498e2c2ce28fe1596dfee5159e2798b6406e08c0669cfcc0089f8924 |