| # C:\Users\echod\.cache\openocr\openocr_det_model.onnx | |
| # C:\Users\echod\.cache\openocr\openocr_rec_model.onnx | |
| # see huggingface\imradv3\main.py | |
| import cv2 | |
| import numpy as np | |
| import json | |
| from openocr import OpenOCR | |
| onnx_engine = OpenOCR(backend='onnx', device='cpu') | |
| def jsonparse(s): | |
| return json.loads(s, strict=False ) | |
| def jsonstring(d): | |
| return json.dumps(d, ensure_ascii=False) | |
| if __name__ == '__main__': | |
| img_path = 'data/t2.jpg' | |
| result, elapse = onnx_engine(img_path) | |
| s = result[0].split('\t')[1].strip() | |
| jsn = jsonparse(s) | |
| with open('result.json', 'w', encoding='utf-8') as f: | |
| f.write( jsonstring(jsn) ) | |
| pass | |