fix span overlap by confidence,remove duplicate spans

magic_pdf/libs/boxbase.py

@@ -161,6 +161,17 @@ def __is_overlaps_y_exceeds_threshold(bbox1, bbox2, overlap_ratio_threshold=0.8)
 
 
 def calculate_iou(bbox1, bbox2):
+    """
+    计算两个边界框的交并比(IOU)。
+
+    Args:
+        bbox1 (list[float]): 第一个边界框的坐标，格式为 [x1, y1, x2, y2]，其中 (x1, y1) 为左上角坐标，(x2, y2) 为右下角坐标。
+        bbox2 (list[float]): 第二个边界框的坐标，格式与 `bbox1` 相同。
+
+    Returns:
+        float: 两个边界框的交并比(IOU)，取值范围为 [0, 1]。
+
+    """
     # Determine the coordinates of the intersection rectangle
     x_left = max(bbox1[0], bbox2[0])
     y_top = max(bbox1[1], bbox2[1])

magic_pdf/model/magic_model.py

@@ -448,6 +448,12 @@ class MagicModel:
         return text_spans
 
     def get_all_spans(self, page_no: int) -> list:
+        def remove_duplicate_spans(spans):
+            new_spans = []
+            for span in spans:
+                if not any(span == existing_span for existing_span in new_spans):
+                    new_spans.append(span)
+            return new_spans
         all_spans = []
         model_page_info = self.__model_list[page_no]
         layout_dets = model_page_info["layout_dets"]
@@ -461,7 +467,10 @@ class MagicModel:
         for layout_det in layout_dets:
             category_id = layout_det["category_id"]
             if category_id in allow_category_id_list:
-                span = {"bbox": layout_det["bbox"]}
+                span = {
+                    "bbox": layout_det["bbox"],
+                    "score": layout_det["score"]
+                }
                 if category_id == 3:
                     span["type"] = ContentType.Image
                 elif category_id == 5:
@@ -476,7 +485,7 @@ class MagicModel:
                     span["content"] = layout_det["text"]
                     span["type"] = ContentType.Text
                 all_spans.append(span)
-        return all_spans
+        return remove_duplicate_spans(all_spans)
 
     def get_page_size(self, page_no: int):  # 获取页面宽高
         # 获取当前页的page对象

magic_pdf/pdf_parse_union_core.py

@@ -19,7 +19,8 @@ from magic_pdf.pre_proc.equations_replace import remove_chars_in_text_blocks, re
 from magic_pdf.pre_proc.ocr_detect_all_bboxes import ocr_prepare_bboxes_for_layout_split
 from magic_pdf.pre_proc.ocr_dict_merge import sort_blocks_by_layout, fill_spans_in_blocks, fix_block_spans, \
     fix_discarded_block
-from magic_pdf.pre_proc.ocr_span_list_modify import remove_overlaps_min_spans, get_qa_need_list_v2
+from magic_pdf.pre_proc.ocr_span_list_modify import remove_overlaps_min_spans, get_qa_need_list_v2, \
+    remove_overlaps_low_confidence_spans
 from magic_pdf.pre_proc.resolve_bbox_conflict import check_useful_block_horizontal_overlap
 
 
@@ -117,6 +118,8 @@ def parse_page_core(pdf_docs, magic_model, page_id, pdf_bytes_md5, imageWriter,
     else:
         raise Exception("parse_mode must be txt or ocr")
 
+    '''删除重叠spans中置信度较低的那些'''
+    spans, dropped_spans_by_confidence = remove_overlaps_low_confidence_spans(spans)
     '''删除重叠spans中较小的那些'''
     spans, dropped_spans_by_span_overlap = remove_overlaps_min_spans(spans)
     '''对image和table截图'''

magic_pdf/pre_proc/ocr_span_list_modify.py

 from loguru import logger
 
 from magic_pdf.libs.boxbase import calculate_overlap_area_in_bbox1_area_ratio, get_minbox_if_overlap_by_ratio, \
-    __is_overlaps_y_exceeds_threshold
+    __is_overlaps_y_exceeds_threshold, calculate_iou
 from magic_pdf.libs.drop_tag import DropTag
 from magic_pdf.libs.ocr_content_type import ContentType, BlockType
 
+def remove_overlaps_low_confidence_spans(spans):
+    dropped_spans = []
+    #  删除重叠spans中置信度低的的那些
+    for span1 in spans:
+        for span2 in spans:
+            if span1 != span2:
+                if calculate_iou(span1['bbox'], span2['bbox']) > 0.9:
+                    if span1['score'] < span2['score']:
+                        span_need_remove = span1
+                    else:
+                        span_need_remove = span2
+                    if span_need_remove is not None and span_need_remove not in dropped_spans:
+                        dropped_spans.append(span_need_remove)
+
+    if len(dropped_spans) > 0:
+        for span_need_remove in dropped_spans:
+            spans.remove(span_need_remove)
+            span_need_remove['tag'] = DropTag.SPAN_OVERLAP
+
+    return spans, dropped_spans
+
 
 def remove_overlaps_min_spans(spans):
     dropped_spans = []