mirrors/docling
1
0
Fork 0
mirror of https://github.com/DS4SD/docling.git synced 2025-07-25 03:24:59 +00:00
Code Issues Packages Projects Releases Wiki Activity

clean up

Browse Source
This commit is contained in:
mohammed 2025-07-16 14:28:47 +03:00
parent 3b8deae9ce
commit bd8b1c42d4
No known key found for this signature in database
GPG Key ID: 44F9B42770617B9B
1 changed files with 15 additions and 22 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

37
docling/utils/layout_postprocessor.py
View File

@ -194,7 +194,6 @@ class LayoutPostprocessor:
# DocItemLabel.DOCUMENT_INDEX: DocItemLabel.TABLE,
DocItemLabel.TITLE: DocItemLabel.SECTION_HEADER,
}
# All constants, class attributes here as before.
def __init__(
self, page: Page, clusters: List[Cluster], options: LayoutOptions
@ -220,18 +219,10 @@ class LayoutPostprocessor:
[c for c in self.special_clusters if c.label in self.WRAPPER_TYPES]
)
# ---- NEW OPTIMIZED: Precompute quick-access table for regular cluster bboxes ----
# (For hot-path bbox filtering inside _process_special_clusters/_handle_cross_type_overlaps)
# Cluster ID mapped to (cluster, bbox, (l,t,r,b)) for fast lookup.
self._regular_bbox_tuples = [
(c, c.bbox.l, c.bbox.t, c.bbox.r, c.bbox.b) for c in self.regular_clusters
]
self._regular_bboxes = [
(c.bbox.l, c.bbox.t, c.bbox.r, c.bbox.b) for c in self.regular_clusters
]
self._regular_clusters_list = (
self.regular_clusters
) # For index access with above
def postprocess(self) -> Tuple[List[Cluster], List[TextCell]]:
"""Main processing pipeline."""
@ -323,6 +314,7 @@ class LayoutPostprocessor:
special_clusters = self._handle_cross_type_overlaps(special_clusters)
# Calculate page area from known page size
assert self.page_size is not None
page_area = self.page_size.width * self.page_size.height
if page_area > 0:
@ -336,7 +328,7 @@ class LayoutPostprocessor:
)
]
# ---- OPTIMIZED: PRE-PROCESS REGULAR CLUSTERS BY BOUNDS ----
# PRE-PROCESS REGULAR CLUSTERS BY BOUNDS
# For each special, pre-filter only regular clusters whose bbox intersects
# the special's bbox, using a quick rectangle intersection test.
regular_bbox_tuples = self._regular_bbox_tuples # local for speed
@ -347,23 +339,22 @@ class LayoutPostprocessor:
# Find only those regular clusters whose bbox intersects the special's bbox
possible = []
for c, l, t, r, b in regular_bbox_tuples:
if l < sr and r > sl and t < sb and b > st:
possible.append((c, l, t, r, b))
for c, left, top, right, bottom in regular_bbox_tuples:
if left < sr and right > sl and top < sb and bottom > st:
possible.append(c)
# Now do the expensive computation only for these
append_contained = contained.append
for c, _, _, _, _ in possible:
for c in possible:
containment = c.bbox.intersection_over_self(special.bbox)
if containment > 0.8:
append_contained(c)
contained.append(c)
if contained:
contained = self._sort_clusters(contained, mode="id")
special.children = contained
# Adjust bbox only for Form and Key-Value-Region, not Table or Picture
if special.label in [DocItemLabel.FORM, DocItemLabel.KEY_VALUE_REGION]:
# This is still cheap, keeps the minimal code change
special.bbox = BoundingBox(
l=min(c.bbox.l for c in contained),
t=min(c.bbox.t for c in contained),
@ -401,7 +392,7 @@ class LayoutPostprocessor:
should be removed.
"""
wrappers_to_remove = set()
# OPTIMIZED: Pre-index tables only for bbox fast filter
# Precompute table clusters with their bbox coordinates for intersection testing
table_clusters = [
(c, c.bbox.l, c.bbox.t, c.bbox.r, c.bbox.b)
for c in self.regular_clusters
@ -417,8 +408,8 @@ class LayoutPostprocessor:
# restrict to table-regulars whose bbox intersects
possible = []
for c, l, t, r, b in table_clusters:
if l < wr and r > wl and t < wb and b > wt:
for c, left, top, right, bottom in table_clusters:
if left < wr and right > wl and top < wb and bottom > wt:
possible.append(c)
for regular in possible:
@ -523,7 +514,9 @@ class LayoutPostprocessor:
spatial_index = (
self.regular_index
if cluster_type == "regular"
else self.picture_index if cluster_type == "picture" else self.wrapper_index
else self.picture_index
if cluster_type == "picture"
else self.wrapper_index
)
# Map of currently valid clusters