from loguru import logger from magic_pdf.libs.ocr_dict_merge import merge_spans_to_line, remove_overlaps_min_spans def construct_page_component(page_id, blocks): return_dict = { 'preproc_blocks': blocks, 'page_idx': page_id, } return return_dict def parse_pdf_by_ocr( ocr_pdf_info, start_page_id=0, end_page_id=None, ): pdf_info_dict = {} end_page_id = end_page_id if end_page_id else len(ocr_pdf_info) - 1 for page_id in range(start_page_id, end_page_id + 1): ocr_page_info = ocr_pdf_info[page_id] layout_dets = ocr_page_info['layout_dets'] spans = [] for layout_det in layout_dets: category_id = layout_det['category_id'] allow_category_id_list = [1, 7, 13, 14, 15] if category_id in allow_category_id_list: x0, y0, _, _, x1, y1, _, _ = layout_det['poly'] bbox = [int(x0), int(y0), int(x1), int(y1)] '''要删除的''' # 3: 'header', # 页眉 # 4: 'page number', # 页码 # 5: 'footnote', # 脚注 # 6: 'footer', # 页脚 '''当成span拼接的''' # 1: 'image', # 图片 # 7: 'table', # 表格 # 13: 'inline_equation', # 行内公式 # 14: 'displayed_equation', # 行间公式 # 15: 'text', # ocr识别文本 '''layout信息''' # 11: 'full column', # 单栏 # 12: 'sub column', # 多栏 span = { 'bbox': bbox, } if category_id == 1: span['type'] = 'image' elif category_id == 7: span['type'] = 'table' elif category_id == 13: span['content'] = layout_det['latex'] span['type'] = 'inline_equation' elif category_id == 14: span['content'] = layout_det['latex'] span['type'] = 'displayed_equation' elif category_id == 15: span['content'] = layout_det['text'] span['type'] = 'text' # print(span) spans.append(span) else: continue # 删除重叠spans中较小的那些 spans = remove_overlaps_min_spans(spans) # 对tpye=["displayed_equation", "image", "table"]进行额外处理,如果左边有字的话,将该span的bbox中y0调整低于文字的y0 # 将spans合并成line(从上到下,从左到右) lines = merge_spans_to_line(spans) # logger.info(lines) # 从ocr_page_info中获取layout信息 # 目前不做block拼接,先做个结构,每个block中只有一个line,block的bbox就是line的bbox blocks = [] for line in lines: blocks.append({ "bbox": line['bbox'], "lines": [line], }) # 构造pdf_info_dict page_info = construct_page_component(page_id, blocks) pdf_info_dict[f"page_{page_id}"] = page_info return pdf_info_dict