luxonis/oak-examples
Nov 2024 – Sep 2025
10 Months active
Languages Used
PythonMarkdownTextBashC++TOML
Technical Skills
API IntegrationCLI DevelopmentComputer VisionDeep LearningDepthAIEmbedded Systems
aljazkonec1
PROFILE
Aljazkonec1
Aljaž Konec developed and maintained advanced computer vision pipelines for the luxonis/oak-examples repository, focusing on real-time perception, OCR, segmentation, and gaze estimation on embedded DepthAI hardware. He engineered modular Python applications that integrated deep learning models for tasks such as license plate recognition, emotion detection, and background blurring, emphasizing robust argument parsing, configuration management, and reproducible environments. By refactoring pipelines, automating crop configuration, and optimizing performance parameters, Aljaž improved both processing efficiency and user experience. His work demonstrated strong proficiency in Python, OpenCV, and embedded systems, delivering maintainable solutions that accelerated prototyping and enhanced the reliability of vision-based applications.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
55Total
Bugs
5
Commits
55
Features
24
Lines of code
11,315
Activity Months10
Your Network
15 people
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025: Implemented Vision Pipeline Performance improvement in luxonis/oak-examples by increasing default FPS from 15 to 30 in triangulation and object detection examples, boosting processing speed and responsiveness for demos and real-time workloads. Commit: 25a8eec9c74af2ab1ed05e902c586418c54ad0cb (''Update FPS limit'').
1 Commits • 1 Features
Sep 1, 2025September 2025: Implemented Vision Pipeline Performance improvement in luxonis/oak-examples by increasing default FPS from 15 to 30 in triangulation and object detection examples, boosting processing speed and responsiveness for demos and real-time workloads. Commit: 25a8eec9c74af2ab1ed05e902c586418c54ad0cb (''Update FPS limit'').
September 2025
July 2025
4 Commits • 2 Features
Jul 1, 2025July 2025: Delivered tangible improvements in real-time perception on the RVC2 platform and improved developer experience through documentation and CI hygiene. Key work centered on on-device pipeline optimization, gaze-estimation documentation, and repository quality hardening. Upgraded the depthai library to 3.0.0rc3 and adjusted the RVC2 FPS cap to 15 to improve real-time inference latency. Enhanced gaze-estimation documentation by clarifying input methods and improving model information readability in related READMEs. Also addressed pre-commit hygiene to reduce CI failures and maintain code quality. These changes collectively improve on-device performance, accelerate developer adoption, and strengthen the repository’s CI reliability.
July 2025
4 Commits • 2 Features
Jul 1, 2025July 2025: Delivered tangible improvements in real-time perception on the RVC2 platform and improved developer experience through documentation and CI hygiene. Key work centered on on-device pipeline optimization, gaze-estimation documentation, and repository quality hardening. Upgraded the depthai library to 3.0.0rc3 and adjusted the RVC2 FPS cap to 15 to improve real-time inference latency. Enhanced gaze-estimation documentation by clarifying input methods and improving model information readability in related READMEs. Also addressed pre-commit hygiene to reduce CI failures and maintain code quality. These changes collectively improve on-device performance, accelerate developer adoption, and strengthen the repository’s CI reliability.
June 2025
5 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for luxonis/oak-examples. Focused on delivering measurable features, stabilizing user-facing components, and updating documentation/assets to improve clarity and adoption.
5 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for luxonis/oak-examples. Focused on delivering measurable features, stabilizing user-facing components, and updating documentation/assets to improve clarity and adoption.
June 2025
May 2025
5 Commits • 2 Features
May 1, 2025May 2025 monthly summary for luxonis/oak-examples focusing on feature delivery, bug fixes, and business impact.
May 2025
5 Commits • 2 Features
May 1, 2025May 2025 monthly summary for luxonis/oak-examples focusing on feature delivery, bug fixes, and business impact.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 (2025-04) monthly summary for luxonis/oak-examples: Key feature delivered: OCR Output Enhancement and Crop Configuration Automation. Business value: clearer OCR results and faster, more predictable cropping, enabling downstream applications to rely on higher-quality data and reducing manual verification. Major bugs fixed: none documented this period. Overall impact: improved output clarity, processing efficiency, and maintainability; establishes a modular OCR pipeline foundation for future enhancements. Technologies/skills demonstrated: pipeline refactor and data-driven OCR design (GatherData, AnnotationHelper), crop configuration generation (CropConfigsCreator), and integration within the Oak examples repository.
2 Commits • 1 Features
Apr 1, 2025April 2025 (2025-04) monthly summary for luxonis/oak-examples: Key feature delivered: OCR Output Enhancement and Crop Configuration Automation. Business value: clearer OCR results and faster, more predictable cropping, enabling downstream applications to rely on higher-quality data and reducing manual verification. Major bugs fixed: none documented this period. Overall impact: improved output clarity, processing efficiency, and maintainability; establishes a modular OCR pipeline foundation for future enhancements. Technologies/skills demonstrated: pipeline refactor and data-driven OCR design (GatherData, AnnotationHelper), crop configuration generation (CropConfigsCreator), and integration within the Oak examples repository.
April 2025
March 2025
3 Commits • 2 Features
Mar 1, 2025In March 2025, the Oak Examples project delivered targeted improvements to gaze estimation and head pose pipelines for RVC4, paired with essential documentation and configuration updates. Key changes include alignment fixes for gaze/head pose, FPS tuning for RVC4 devices, and refactoring of head pose data linkage to script nodes, alongside improved processing/visualization and DepthAI integration for more reliable gaze tracking. Documentation updates modernized README content for neural networks and gaze estimation, refactored the oakapp.toml identifier, and corrected CLI argument formats to improve developer experience and configuration consistency. These efforts reduce onboarding time, enhance runtime reliability, and enable faster, business-ready demos and integrations.
March 2025
3 Commits • 2 Features
Mar 1, 2025In March 2025, the Oak Examples project delivered targeted improvements to gaze estimation and head pose pipelines for RVC4, paired with essential documentation and configuration updates. Key changes include alignment fixes for gaze/head pose, FPS tuning for RVC4 devices, and refactoring of head pose data linkage to script nodes, alongside improved processing/visualization and DepthAI integration for more reliable gaze tracking. Documentation updates modernized README content for neural networks and gaze estimation, refactored the oakapp.toml identifier, and corrected CLI argument formats to improve developer experience and configuration consistency. These efforts reduce onboarding time, enhance runtime reliability, and enable faster, business-ready demos and integrations.
February 2025
6 Commits • 3 Features
Feb 1, 2025February 2025 — Luxonis Oak Examples: Delivered three DepthAI-driven features and fortified CI hygiene. Key features: Real-Time Fatigue Detection System (RVC4) with real-time feedback on DepthAI hardware; OCR Pipeline for Text Detection and Recognition on OAK4; Gaze Estimation System on DepthAI. Major bugs fixed: resolved pre-commit/configuration issues to stabilize CI and improve commit hygiene (f9efd69, 2ece586, 3d34b047). Impact: enables real-time safety monitoring, automated text extraction from video streams, and gaze analytics across compatible hardware; code quality and CI readiness improved. Technologies/skills demonstrated: DepthAI pipelines, face/landmark models, OCR pipelines, gaze estimation, data synchronization, and robust pre-commit/CI practices.
6 Commits • 3 Features
Feb 1, 2025February 2025 — Luxonis Oak Examples: Delivered three DepthAI-driven features and fortified CI hygiene. Key features: Real-Time Fatigue Detection System (RVC4) with real-time feedback on DepthAI hardware; OCR Pipeline for Text Detection and Recognition on OAK4; Gaze Estimation System on DepthAI. Major bugs fixed: resolved pre-commit/configuration issues to stabilize CI and improve commit hygiene (f9efd69, 2ece586, 3d34b047). Impact: enables real-time safety monitoring, automated text extraction from video streams, and gaze analytics across compatible hardware; code quality and CI readiness improved. Technologies/skills demonstrated: DepthAI pipelines, face/landmark models, OCR pipelines, gaze estimation, data synchronization, and robust pre-commit/CI practices.
February 2025
January 2025
19 Commits • 4 Features
Jan 1, 2025January 2025 (luxonis/oak-examples): Delivered end-to-end capability updates and maintenance across DepthAI example suites. Key additions include license plate recognition with OCR visualization, a modular facial detection/age-gender pipeline with RVC4 compatibility, an emotion recognition example with host-side processing utilities, and text blur/visualization enhancements. Maintenance work focused on documentation cleanup, config/util improvements, and preparing TOML-based workflows to improve reproducibility and onboarding. These efforts collectively advance demonstration quality, model freshness, and developer experience, delivering tangible business value through faster prototyping and clearer documentation.
January 2025
19 Commits • 4 Features
Jan 1, 2025January 2025 (luxonis/oak-examples): Delivered end-to-end capability updates and maintenance across DepthAI example suites. Key additions include license plate recognition with OCR visualization, a modular facial detection/age-gender pipeline with RVC4 compatibility, an emotion recognition example with host-side processing utilities, and text blur/visualization enhancements. Maintenance work focused on documentation cleanup, config/util improvements, and preparing TOML-based workflows to improve reproducibility and onboarding. These efforts collectively advance demonstration quality, model freshness, and developer experience, delivering tangible business value through faster prototyping and clearer documentation.
December 2024
6 Commits • 5 Features
Dec 1, 2024December 2024 — luxonis/oak-examples: Delivered a configurable image segmentation and detection workflow via ImgDetectionsExtended, added a Snap event example with Hub upload, enhanced runtime robustness with missing label mask handling and visualizer port update, improved user experience with keyboard-driven exit, and published documentation pinning DepthAI 3.0.0-alpha.6 to ensure reproducible environments. These changes deliver end-to-end experimentation capabilities, robust runtimes, and easier sharing of results, while keeping the repository clean through removal of drafts.
6 Commits • 5 Features
Dec 1, 2024December 2024 — luxonis/oak-examples: Delivered a configurable image segmentation and detection workflow via ImgDetectionsExtended, added a Snap event example with Hub upload, enhanced runtime robustness with missing label mask handling and visualizer port update, improved user experience with keyboard-driven exit, and published documentation pinning DepthAI 3.0.0-alpha.6 to ensure reproducible environments. These changes deliver end-to-end experimentation capabilities, robust runtimes, and easier sharing of results, while keeping the repository clean through removal of drafts.
December 2024
November 2024
4 Commits • 2 Features
Nov 1, 2024November 2024 performance-focused month for luxonis/oak-examples. Delivered two high-value features that streamline development workflows on Gen3 Pipeline Builder and OAK devices, with a strong emphasis on user experience, documentation, and practical demonstration capabilities. No major regressions observed; maintained code quality with targeted cleanup and refinements.
November 2024
4 Commits • 2 Features
Nov 1, 2024November 2024 performance-focused month for luxonis/oak-examples. Delivered two high-value features that streamline development workflows on Gen3 Pipeline Builder and OAK devices, with a strong emphasis on user experience, documentation, and practical demonstration capabilities. No major regressions observed; maintained code quality with targeted cleanup and refinements.
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Quality Metrics
Correctness87.4%
Maintainability86.8%
Architecture84.8%
Performance82.8%
AI Usage22.2%
Skills & Technologies
Programming Languages
BashC++MarkdownPythonTOMLText
Technical Skills
AI/MLAPI IntegrationApplication ConfigurationArgument ParsingAsset OptimizationBuild ConfigurationCLI DevelopmentCode CleanupCode FormattingCode HygieneComputer VisionConfigurationConfiguration ManagementContainerizationDebugging
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