pskcci/DX-01
Nov 2024 – Dec 2024
2 Months active
Languages Used
MarkdownPython
Technical Skills
Artificial Neural NetworksCNNComputer VisionData ScienceData VisualizationDeep Learning
Gyue2
PROFILE
Gyue2
Over two months, Magicstyle_k developed core machine learning and computer vision tooling for the pskcci/DX-01 repository, focusing on educational and real-time demo applications. They built a consolidated ML coursework suite featuring NumPy-based data manipulation, image processing, and neural network models including Perceptron, CNN, and RNN for stock forecasting. For interactive demos, they implemented an OpenVINO-powered motion recognition app with gesture-triggered background changes and U2NET-based background removal, alongside Python scripts for hardware-in-the-loop LED control and factory simulation. Their work emphasized modular code, reproducibility, and clear documentation, resulting in a maintainable, scalable foundation for classroom and demo use.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
12Total
Bugs
0
Commits
12
Features
4
Lines of code
4,650
Activity Months2
Your Network
1012 people
Work History
December 2024
5 Commits • 2 Features
Dec 1, 2024Month 2024-12: Delivered CV-driven features and hardware-in-loop demos in pskcci/DX-01, focusing on real-time gesture-based UX and end-to-end demo capability. Key outcomes include an OpenVINO-based motion recognition app with gesture-triggered background changes and U2NET-based background removal with frame capture/review, plus Class02 homework scripts for LED control and factory motion-detection simulation. These efforts enable interactive demos, faster validation, and a path toward reusable components across CV and hardware integrations.
5 Commits • 2 Features
Dec 1, 2024Month 2024-12: Delivered CV-driven features and hardware-in-loop demos in pskcci/DX-01, focusing on real-time gesture-based UX and end-to-end demo capability. Key outcomes include an OpenVINO-based motion recognition app with gesture-triggered background changes and U2NET-based background removal with frame capture/review, plus Class02 homework scripts for LED control and factory motion-detection simulation. These efforts enable interactive demos, faster validation, and a path toward reusable components across CV and hardware integrations.
December 2024
November 2024
7 Commits • 2 Features
Nov 1, 20242024-11 monthly performance for pskcci/DX-01 focused on delivering core ML coursework tooling and foundational documentation to support classroom usage and onboarding. Key features include a consolidated ML Coursework Suite featuring NumPy data manipulation scripts, image processing, and multiple neural network models (Perceptron, ANN, CNNs) plus an RNN-based stock price forecasting component. Documentation scaffolding was established for class packages and mini-projects, including placeholder READMEs and updated participant lists. No critical bugs were reported; the work emphasizes reliability, reproducibility, and scalable educational tooling.
November 2024
7 Commits • 2 Features
Nov 1, 20242024-11 monthly performance for pskcci/DX-01 focused on delivering core ML coursework tooling and foundational documentation to support classroom usage and onboarding. Key features include a consolidated ML Coursework Suite featuring NumPy data manipulation scripts, image processing, and multiple neural network models (Perceptron, ANN, CNNs) plus an RNN-based stock price forecasting component. Documentation scaffolding was established for class packages and mini-projects, including placeholder READMEs and updated participant lists. No critical bugs were reported; the work emphasizes reliability, reproducibility, and scalable educational tooling.
Activity
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Quality Metrics
Correctness88.4%
Maintainability86.6%
Architecture87.6%
Performance81.8%
AI Usage32.4%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
Argument ParsingArtificial Neural NetworksBackground RemovalCNNComputer VisionData ScienceData VisualizationDeep LearningDocumentationFactory AutomationGRUKerasLSTMMachine LearningMatplotlib
Repositories Contributed To
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