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
- 手把手教你使用ONNXRunTime部署PP-OCR
ch_PP-OCRv3_det_infer及ch_PP-OCRv2_rec_infer模型来自 RapidAI/RapidOCR
安装
pip install ppocr-onnx
使用
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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