PaddlePaddle/PaddleX
Feb 2025 – Mar 2025
2 Months active
Languages Used
Python
Technical Skills
Algorithm RefinementComputer VisionDocument ProcessingLayout AnalysisBug FixingDocument Analysis
liushuai35
PROFILE
Liushuai35
Worked on enhancing the document layout parsing pipeline for the PaddlePaddle/PaddleX repository, focusing on improving the reliability of title detection, pre-cut handling, and table formula recognition. Applied algorithm refinement and bug fixing skills to integrate pre-cut logic directly into layout ordering, refine edge-distance metrics for better block classification, and ensure accurate incorporation of formula results in table parsing. Leveraged Python and computer vision techniques to address issues in mixed-content documents, resulting in more robust document structure parsing and downstream data extraction. Maintained strong version control practices and clear documentation, contributing to more stable and accurate automated document processing workflows.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
2Total
Bugs
2
Commits
2
Features
0
Lines of code
849
Activity Months2
Your Network
47 peopleWork History
March 2025
1 Commits
Mar 1, 2025March 2025 summary for PaddlePaddle/PaddleX: Delivered a bug fix and robustness improvements to the layout parsing pipeline, focusing on table formula recognition and title handling. The fix correctly incorporates formula results into table parsing and refines pre_cut label handling for document titles, boosting accuracy for documents that contain both formulas and titles. Impact: more reliable automated document processing, fewer downstream data errors, and faster analytics. Technologies/skills demonstrated include layout parsing, formula-aware data extraction, label management, and version control hygiene (commit referenced below).
1 Commits
Mar 1, 2025March 2025 summary for PaddlePaddle/PaddleX: Delivered a bug fix and robustness improvements to the layout parsing pipeline, focusing on table formula recognition and title handling. The fix correctly incorporates formula results into table parsing and refines pre_cut label handling for document titles, boosting accuracy for documents that contain both formulas and titles. Impact: more reliable automated document processing, fewer downstream data errors, and faster analytics. Technologies/skills demonstrated include layout parsing, formula-aware data extraction, label management, and version control hygiene (commit referenced below).
March 2025
February 2025
1 Commits
Feb 1, 2025February 2025 monthly work summary for PaddleX: Focused on stabilizing layout parsing reliability by addressing title detection and pre-cut handling, integrating pre-cut logic into layout ordering, and refining edge-distance metrics to improve block classification. These changes reduce mis-detection of titles/abstracts and enhance downstream data extraction reliability in PaddleX.
February 2025
1 Commits
Feb 1, 2025February 2025 monthly work summary for PaddleX: Focused on stabilizing layout parsing reliability by addressing title detection and pre-cut handling, integrating pre-cut logic into layout ordering, and refining edge-distance metrics to improve block classification. These changes reduce mis-detection of titles/abstracts and enhance downstream data extraction reliability in PaddleX.
Activity
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture80.0%
Performance65.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Algorithm RefinementBug FixingComputer VisionDocument AnalysisDocument ProcessingLayout AnalysisLayout Parsing
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