| from typing import Tuple, List, Dict, Union, Callable | |
| import numpy as np | |
| import cv2 | |
| from collections import OrderedDict | |
| from utils.textblock import TextBlock | |
| from utils.registry import Registry | |
| OCR = Registry('OCR') | |
| register_OCR = OCR.register_module | |
| from ..base import BaseModule, DEFAULT_DEVICE, DEVICE_SELECTOR, LOGGER | |
| class OCRBase(BaseModule): | |
| _postprocess_hooks = OrderedDict() | |
| _preprocess_hooks = OrderedDict() | |
| _line_only: bool = False | |
| def __init__(self, **params) -> None: | |
| super().__init__(**params) | |
| self.name = '' | |
| for key in OCR.module_dict: | |
| if OCR.module_dict[key] == self.__class__: | |
| self.name = key | |
| break | |
| def run_ocr(self, img: np.ndarray, blk_list: List[TextBlock] = None, *args, **kwargs) -> Union[List[TextBlock], str]: | |
| if not self.all_model_loaded(): | |
| self.load_model() | |
| if img.ndim == 3 and img.shape[-1] == 4: | |
| img = cv2.cvtColor(img, cv2.COLOR_RGBA2RGB) | |
| if blk_list is None: | |
| text = self.ocr_img(img) | |
| return text | |
| elif isinstance(blk_list, TextBlock): | |
| blk_list = [blk_list] | |
| for blk in blk_list: | |
| if self.name != 'none_ocr': | |
| blk.text = [] | |
| self._ocr_blk_list(img, blk_list, *args, **kwargs) | |
| for callback_name, callback in self._postprocess_hooks.items(): | |
| callback(textblocks=blk_list, img=img, ocr_module=self) | |
| return blk_list | |
| def _ocr_blk_list(self, img: np.ndarray, blk_list: List[TextBlock], *args, **kwargs) -> None: | |
| raise NotImplementedError | |
| def ocr_img(self, img: np.ndarray) -> str: | |
| raise NotImplementedError | |