| 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 |
|
|
