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- import os
- import html
- import cv2
- import numpy as np
- from loguru import logger
- from rapid_table import RapidTable, RapidTableInput
- from mineru.utils.enum_class import ModelPath
- from mineru.utils.models_download_utils import auto_download_and_get_model_root_path
- def escape_html(input_string):
- """Escape HTML Entities."""
- return html.escape(input_string)
- class RapidTableModel(object):
- def __init__(self, ocr_engine):
- slanet_plus_model_path = os.path.join(auto_download_and_get_model_root_path(ModelPath.slanet_plus), ModelPath.slanet_plus)
- input_args = RapidTableInput(model_type='slanet_plus', model_path=slanet_plus_model_path)
- self.table_model = RapidTable(input_args)
- self.ocr_engine = ocr_engine
- def predict(self, image, table_cls_score):
- bgr_image = cv2.cvtColor(np.asarray(image), cv2.COLOR_RGB2BGR)
- # Continue with OCR on potentially rotated image
- ocr_result = self.ocr_engine.ocr(bgr_image)[0]
- if ocr_result:
- ocr_result = [[item[0], escape_html(item[1][0]), item[1][1]] for item in ocr_result if
- len(item) == 2 and isinstance(item[1], tuple)]
- else:
- ocr_result = None
- if ocr_result:
- try:
- table_results = self.table_model(np.asarray(image), ocr_result)
- html_code = table_results.pred_html
- table_cell_bboxes = table_results.cell_bboxes
- logic_points = table_results.logic_points
- elapse = table_results.elapse
- return html_code, table_cell_bboxes, logic_points, elapse
- except Exception as e:
- logger.exception(e)
- return None, None, None, None
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