PaddlePaddle/PaddleFormers
Mar 2026 – Mar 2026
1 Month active
Languages Used
Python
Technical Skills
Computer VisionDeep LearningMachine LearningNatural Language ProcessingPaddlePaddle
ZouKexin-522
PROFILE
Zoukexin-522
Developed and integrated the GLM-OCR multimodal OCR feature within the PaddlePaddle/PaddleFormers repository, focusing on fusing computer vision and natural language processing for enhanced OCR tasks. The work involved building a dedicated image and video processing plugin, defining configuration classes, and implementing model definitions and processing utilities in Python. This integration established an end-to-end multimodal data flow, enabling the system to leverage visual cues alongside language understanding. The developer architected a reusable set of components to support future multimodal features, laying the groundwork for broader OCR enhancements across diverse media types using deep learning and machine learning techniques.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
3,970
Activity Months1
Your Network
72 peopleSame Organization
@link.cuhk.edu.cn9
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026: Delivered the GLM-OCR Multimodal OCR Integration in PaddleFormers, introducing a dedicated image/video processing plugin, configuration classes, model definitions, and processing utilities to fuse visual data with language processing for OCR tasks. This work establishes foundational multimodal capabilities and prepares the ecosystem for broader OCR enhancements across media types.
1 Commits • 1 Features
Mar 1, 2026March 2026: Delivered the GLM-OCR Multimodal OCR Integration in PaddleFormers, introducing a dedicated image/video processing plugin, configuration classes, model definitions, and processing utilities to fuse visual data with language processing for OCR tasks. This work establishes foundational multimodal capabilities and prepares the ecosystem for broader OCR enhancements across media types.
March 2026
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Computer VisionDeep LearningMachine LearningNatural Language ProcessingPaddlePaddle
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