luxonis/oak-examples
Apr 2025 – Jun 2025
2 Months active
Languages Used
CSSHTMLJavaScriptMarkdownPythonTypeScript
Technical Skills
Dependency ManagementDocumentationFrontend DevelopmentJavaScriptPandaCSSPython
David Fencl
PROFILE
David Fencl
David Fencl developed and enhanced frontend features for the luxonis/oak-examples repository over a two-month period, focusing on both usability and maintainability. He built a custom React and Vite-based frontend example that leverages DepthAIEntrypoint and PandaCSS, reorganizing the project structure to support a raw-stream workflow and streamline onboarding. David also expanded and clarified documentation, ensuring the custom frontend workflow was accessible to new users. In addition, he improved observability by enabling detailed debug logging in the Visualizer and managed dependency updates, particularly for depthai-viewer-common, using TypeScript and JavaScript to ensure stability and alignment with upstream improvements.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
3
Lines of code
25,527
Activity Months2
Your Network
15 people
Work History
June 2025
2 Commits • 2 Features
Jun 1, 2025June 2025 summary for luxonis/oak-examples: Focused on improving observability in the Visualizer and keeping dependencies up to date to enhance stability and performance. Key outcomes include enabling detailed debug logging in the Visualizer (via DepthAIContext with withDebugLogs) and updating the depthai-viewer-common dependency to 1.1.19. These changes reduce diagnosis time, improve reliability of Oak examples, and lower maintenance risk by aligning with latest fixes and performance improvements. Technologies demonstrated include DepthAIContext, feature flag implementation, and dependency management; commits reflect clean, purposeful updates.
2 Commits • 2 Features
Jun 1, 2025June 2025 summary for luxonis/oak-examples: Focused on improving observability in the Visualizer and keeping dependencies up to date to enhance stability and performance. Key outcomes include enabling detailed debug logging in the Visualizer (via DepthAIContext with withDebugLogs) and updating the depthai-viewer-common dependency to 1.1.19. These changes reduce diagnosis time, improve reliability of Oak examples, and lower maintenance risk by aligning with latest fixes and performance improvements. Technologies demonstrated include DepthAIContext, feature flag implementation, and dependency management; commits reflect clean, purposeful updates.
June 2025
April 2025
5 Commits • 1 Features
Apr 1, 2025April 2025: Implemented Custom Frontend: Local DepthAI Frontend Example and Documentation in luxonis/oak-examples, delivering a React/Vite-based frontend leveraging @luxonis/depthai-viewer-common and DepthAIEntrypoint. Reorganized frontend structure to support a raw-stream frontend workflow, enabling faster experimentation and onboarding. Updated and expanded docs (root README and frontend README) to describe the Custom Frontend workflow and steps. Updated dependencies, bumping @luxonis/depthai-viewer-common to 0.0.15. Minor README formatting fixes in custom_frontend/raw-stream for consistency. Tech stack included: React, Vite, DepthAI Entrypoint, PandaCSS, polyfills. Impact: reduced onboarding time, improved maintainability, and a ready-to-run frontend example for DepthAI.
April 2025
5 Commits • 1 Features
Apr 1, 2025April 2025: Implemented Custom Frontend: Local DepthAI Frontend Example and Documentation in luxonis/oak-examples, delivering a React/Vite-based frontend leveraging @luxonis/depthai-viewer-common and DepthAIEntrypoint. Reorganized frontend structure to support a raw-stream frontend workflow, enabling faster experimentation and onboarding. Updated and expanded docs (root README and frontend README) to describe the Custom Frontend workflow and steps. Updated dependencies, bumping @luxonis/depthai-viewer-common to 0.0.15. Minor README formatting fixes in custom_frontend/raw-stream for consistency. Tech stack included: React, Vite, DepthAI Entrypoint, PandaCSS, polyfills. Impact: reduced onboarding time, improved maintainability, and a ready-to-run frontend example for DepthAI.
Activity
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Quality Metrics
Correctness91.4%
Maintainability94.2%
Architecture94.2%
Performance88.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptMarkdownPythonTypeScript
Technical Skills
Dependency ManagementDocumentationFrontend DevelopmentJavaScriptPandaCSSPythonReactTypeScriptVite
Repositories Contributed To
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