# PPOCR-ONNX
## 简介
利用 onnxruntime 及 PaddleOCR 提供的模型, 对图片中的文字进行检测与识别.
### 使用模型
- 文字检测: `ch_PP-OCRv3_det_infer`
- 方向分类: `cls mobile v2`
- 文字识别: `ch_PP-OCRv2_rec_infer`
## 参考
- [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)
- [手把手教你使用ONNXRunTime部署PP-OCR](https://aistudio.baidu.com/aistudio/projectdetail/1479970)
- `ch_PP-OCRv3_det_infer` 及 `ch_PP-OCRv2_rec_infer` 模型来自 [RapidAI/RapidOCR](https://github.com/RapidAI/RapidOCR)
## 安装
```bash
pip install ppocr-onnx
```
## 使用
```python
from ppocronnx.predict_system import TextSystem
import cv2
text_sys = TextSystem()
# 识别单行文本
res = text_sys.ocr_single_line(cv2.imread('single_line_text.png'))
print(res)
# 批量识别单行文本
res = text_sys.ocr_lines([cv2.imread('single_line_text.png')])
print(res[0])
# 检测并识别文本
img = cv2.imread('test.png')
res = text_sys.detect_and_ocr(img)
for boxed_result in res:
print("{}, {:.3f}".format(boxed_result.ocr_text, boxed_result.score))
```
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