Skip to content

(Fixes PaddlePaddle/PaddleOCR#18064) fix: guard against KMeans n_clusters=0 crash in table recognition pipeline #5140

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
Mane2305 wants to merge 1 commit into
base: release/3.5
Choose a base branch
from
Open

(Fixes PaddlePaddle/PaddleOCR#18064) fix: guard against KMeans n_clusters=0 crash in table recognition pipeline #5140

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
16 changes: 10 additions & 6 deletions paddlex/inference/pipelines/table_recognition/pipeline_v2.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -460,6 +460,9 @@ def combine_rectangles(rectangles, N):
"""
# Number of input rectangles
num_rects = len(rectangles)
# Guard: N must be >= 1 for KMeans
if N <= 0 or num_rects == 0:
return []
# If N is greater than or equal to the number of rectangles, return the original rectangles
if N >= num_rects:
return rectangles
Expand Down Expand Up @@ -545,12 +548,13 @@ def combine_rectangles(rectangles, N):
else:
# Need to combine ocr_miss_boxes into N rectangles
N = html_pred_boxes_nums - len(cells_det_results)
# Combine ocr_miss_boxes into N rectangles
ocr_supp_boxes = combine_rectangles(ocr_miss_boxes, N)
# Combine cells_det_results and ocr_supp_boxes
final_results = np.concatenate(
(cells_det_results, ocr_supp_boxes), axis=0
).tolist()
if N <= 0:
final_results = cells_det_results.tolist()
else:
ocr_supp_boxes = combine_rectangles(ocr_miss_boxes, N)
final_results = np.concatenate(
(cells_det_results, ocr_supp_boxes), axis=0
).tolist()
if len(final_results) <= 0.6 * html_pred_boxes_nums:
final_results = combine_rectangles(ocr_det_results, html_pred_boxes_nums)
return final_results
Expand Down