pskcci/DX-01
Nov 2024 – Dec 2024
2 Months active
Languages Used
MarkdownPython
Technical Skills
Code DeletionCode RefactoringComputer VisionConvolutional Neural Networks (CNNs)Data AnalysisData Cleaning
YoungjunYang
PROFILE
Youngjunyang
During two months on the pskcci/DX-01 repository, Dididudud built real-time posture tracking and factory automation systems, focusing on ergonomic monitoring and process control. Leveraging Python, OpenVINO, and computer vision, they implemented pose estimation to detect posture issues and developed dual-camera motion detection with hardware integration for automated monitoring. Their work included advanced machine learning features such as CNN-based image classification, transfer learning pipelines, and stock price prediction, alongside educational scripts and image processing tutorials. Dididudud also improved project maintainability by updating documentation, onboarding materials, and cleaning legacy code, demonstrating depth in both technical execution and repository stewardship.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
27Total
Bugs
0
Commits
27
Features
6
Lines of code
5,075
Activity Months2
Your Network
1012 people
Work History
December 2024
8 Commits • 2 Features
Dec 1, 2024Month: 2024-12 — pskcci/DX-01: Key features delivered and business value realized. - Real-time Posture Tracking System (OpenVINO): Real-time pose estimation detects posture issues (turtle neck, twisted legs) with metrics on neck, waist, and wrists; includes architecture and goals in documentation to support ergonomic risk monitoring and proactive interventions. - Factory Automation System: LED control (LED.py) and dual-camera motion detection (factory.py) with live and cropped feeds; integrated with FactoryController to support automated visual monitoring and process control. - Documentation and onboarding: Updated README and architecture/goals docs to improve maintainability and accelerate future contributions. - Overall impact: Established MVP-level pipelines for ergonomic monitoring and factory automation; improved readiness for pilot evaluation and faster iteration cycles. - Technologies/skills demonstrated: Python, OpenVINO, real-time video processing, multi-camera integration, hardware controls, and comprehensive documentation practices.
8 Commits • 2 Features
Dec 1, 2024Month: 2024-12 — pskcci/DX-01: Key features delivered and business value realized. - Real-time Posture Tracking System (OpenVINO): Real-time pose estimation detects posture issues (turtle neck, twisted legs) with metrics on neck, waist, and wrists; includes architecture and goals in documentation to support ergonomic risk monitoring and proactive interventions. - Factory Automation System: LED control (LED.py) and dual-camera motion detection (factory.py) with live and cropped feeds; integrated with FactoryController to support automated visual monitoring and process control. - Documentation and onboarding: Updated README and architecture/goals docs to improve maintainability and accelerate future contributions. - Overall impact: Established MVP-level pipelines for ergonomic monitoring and factory automation; improved readiness for pilot evaluation and faster iteration cycles. - Technologies/skills demonstrated: Python, OpenVINO, real-time video processing, multi-camera integration, hardware controls, and comprehensive documentation practices.
December 2024
November 2024
19 Commits • 4 Features
Nov 1, 2024Month: 2024-11. Focused on expanding ML/CV capabilities, documenting contributor processes, delivering educational scripts, and cleaning legacy assets to reduce maintenance overhead. The month delivered tangible business value through new ML features, better developer onboarding, and improved repository hygiene.
November 2024
19 Commits • 4 Features
Nov 1, 2024Month: 2024-11. Focused on expanding ML/CV capabilities, documenting contributor processes, delivering educational scripts, and cleaning legacy assets to reduce maintenance overhead. The month delivered tangible business value through new ML features, better developer onboarding, and improved repository hygiene.
Activity
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Quality Metrics
Correctness92.6%
Maintainability92.6%
Architecture91.0%
Performance91.2%
AI Usage21.4%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
Code DeletionCode RefactoringComputer VisionConvolutional Neural Networks (CNNs)Data AnalysisData CleaningData ManipulationData PreprocessingData VisualizationDeep LearningDocumentationDocumentation UpdateEmbedded SystemsFactory AutomationFile Management
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