luxonis/oak-examples
Mar 2025 – Aug 2025
6 Months active
Languages Used
BashMarkdownPythonTOMLC++TXTTextShell
Technical Skills
3D Measurement3D ReconstructionCI/CDCLI UsageCode FormattingCode Organization
Han Bui
PROFILE
Han Bui
Over six months, Ha contributed to the luxonis/oak-examples repository, building scalable multi-camera 3D perception workflows and improving calibration, visualization, and code maintainability. Ha developed real-time object detection and depth measurement pipelines using Python and C++, integrating DepthAI and OpenCV for robust spatial analysis. The work included refactoring point cloud and box measurement modules for efficiency, implementing configuration-driven standards, and enhancing CI/CD reliability. By introducing BEV visualization, optimizing fusion algorithms, and standardizing identifier naming, Ha enabled more accurate, maintainable, and production-ready multi-device systems. The engineering approach emphasized modularity, documentation, and automation, supporting both end-user experience and contributor onboarding.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
120Total
Bugs
10
Commits
120
Features
62
Lines of code
21,830
Activity Months6
Your Network
15 people
Work History
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary focused on establishing a scalable, maintainable identifier naming convention within luxonis/oak-examples and enabling future automation across the project. Delivered a configuration-driven standard in oakapp.toml, including alignment of the RGBD pointcloud application's identifier to the new scheme. This work enhances consistency, maintainability, and onboarding for contributors, laying groundwork for cross-repo tooling.
2 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary focused on establishing a scalable, maintainable identifier naming convention within luxonis/oak-examples and enabling future automation across the project. Delivered a configuration-driven standard in oakapp.toml, including alignment of the RGBD pointcloud application's identifier to the new scheme. This work enhances consistency, maintainability, and onboarding for contributors, laying groundwork for cross-repo tooling.
August 2025
July 2025
21 Commits • 11 Features
Jul 1, 2025July 2025 milestones for luxonis/oak-examples focused on delivering core feature improvements, reliability, and developer experience enhancements. The work targeted fusion accuracy and BEV stability, scalable grouping and detection alignment, DepthAI integration updates, and UX/DX improvements through tests/CI and data caching. The results improve end-user BEV robustness, configuration scalability, and release confidence across the Oak examples.
July 2025
21 Commits • 11 Features
Jul 1, 2025July 2025 milestones for luxonis/oak-examples focused on delivering core feature improvements, reliability, and developer experience enhancements. The work targeted fusion accuracy and BEV stability, scalable grouping and detection alignment, DepthAI integration updates, and UX/DX improvements through tests/CI and data caching. The results improve end-user BEV robustness, configuration scalability, and release confidence across the Oak examples.
June 2025
7 Commits • 2 Features
Jun 1, 2025June 2025: Focused on scalable multi-camera perception and calibration usability to accelerate onboarding and deployment. Major bugs fixed: none reported this month. Key milestones include groundwork for multi-camera spatial detection fusion with BEV visualization (BEV node, config and calibration refactor; test script for device setup and pipeline management) and Calibration Tutorial Documentation and Asset Maintenance (OpenCV calibration steps, visualizer annotation clarifications, docstrings, asset cleanup). These efforts lay the foundation for a unified multi-camera world view and improved maintainability.
7 Commits • 2 Features
Jun 1, 2025June 2025: Focused on scalable multi-camera perception and calibration usability to accelerate onboarding and deployment. Major bugs fixed: none reported this month. Key milestones include groundwork for multi-camera spatial detection fusion with BEV visualization (BEV node, config and calibration refactor; test script for device setup and pipeline management) and Calibration Tutorial Documentation and Asset Maintenance (OpenCV calibration steps, visualizer annotation clarifications, docstrings, asset cleanup). These efforts lay the foundation for a unified multi-camera world view and improved maintainability.
June 2025
May 2025
41 Commits • 24 Features
May 1, 2025May 2025 focused on delivering a robust, scalable Oak examples workflow (luxonis/oak-examples) with safer depth processing, improved multi-device support, and enhanced visualization. Key work included a performance-oriented box-measurement path using rgbd as the pointcloud source, depth alignment fixes, and CI/QA improvements, complemented by updated docs and tooling for maintainability. The month delivered measurable business value through improved accuracy, stability, and production-readiness across multi-camera setups and real-time inference pipelines.
May 2025
41 Commits • 24 Features
May 1, 2025May 2025 focused on delivering a robust, scalable Oak examples workflow (luxonis/oak-examples) with safer depth processing, improved multi-device support, and enhanced visualization. Key work included a performance-oriented box-measurement path using rgbd as the pointcloud source, depth alignment fixes, and CI/QA improvements, complemented by updated docs and tooling for maintainability. The month delivered measurable business value through improved accuracy, stability, and production-readiness across multi-camera setups and real-time inference pipelines.
April 2025
34 Commits • 20 Features
Apr 1, 2025April 2025 monthly summary for luxonis/oak-examples focused on depth/vision pipeline improvements, architecture cleanup, and build/CI reliability. The work emphasizes delivering business value through improved accuracy, maintainability, and readiness for multi-device Gen3 scenarios while strengthening the contributor experience and documentation.
34 Commits • 20 Features
Apr 1, 2025April 2025 monthly summary for luxonis/oak-examples focused on depth/vision pipeline improvements, architecture cleanup, and build/CI reliability. The work emphasizes delivering business value through improved accuracy, maintainability, and readiness for multi-device Gen3 scenarios while strengthening the contributor experience and documentation.
April 2025
March 2025
15 Commits • 4 Features
Mar 1, 2025March 2025 monthly summary for luxonis/oak-examples. Delivered multiple user-facing capabilities across key demos, improved remote visualization and deployment workflows, and strengthened code quality and maintainability. The outcomes enabled richer real-time visualization, faster iteration, and clearer measurement pipelines, driving business value through better user experience and robust pipelines.
March 2025
15 Commits • 4 Features
Mar 1, 2025March 2025 monthly summary for luxonis/oak-examples. Delivered multiple user-facing capabilities across key demos, improved remote visualization and deployment workflows, and strengthened code quality and maintainability. The outcomes enabled richer real-time visualization, faster iteration, and clearer measurement pipelines, driving business value through better user experience and robust pipelines.
Activity
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Quality Metrics
Correctness88.2%
Maintainability87.8%
Architecture84.6%
Performance78.8%
AI Usage20.6%
Skills & Technologies
Programming Languages
BashC++MarkdownPythonShellTOMLTXTTextYAMLtext
Technical Skills
3D Computer Vision3D Measurement3D ReconstructionAPI IntegrationAlgorithm DevelopmentAlgorithm ImplementationAlgorithm OptimizationC++CI/CDCLI Argument ParsingCLI UsageCalibrationCamera CalibrationCode CleanupCode Formatting
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