luxonis/depthai-core
Jun 2025 – Mar 2026
10 Months active
Languages Used
CC++MarkdownPythonCMakeYAMLcmakeNone
Technical Skills
API DesignAPI DevelopmentBindings DevelopmentC++C++ DevelopmentCalibration
MaticTonin
PROFILE
Matictonin
Matic Tonin developed and maintained core features for the luxonis/depthai-core repository, focusing on dynamic calibration workflows, robust data acquisition, and multi-camera integration. He engineered enhancements to calibration APIs and Python bindings, improved runtime control, and introduced automated testing and serialization for richer analytics. Using C++, Python, and CMake, Matic standardized interfaces, optimized matrix operations for numerical stability, and ensured firmware alignment across devices. His work emphasized reliability through targeted bug fixes, improved concurrency, and expanded test coverage, resulting in more stable builds and faster iteration cycles. These contributions enabled broader deployment and streamlined developer onboarding for production computer vision systems.
Overall Statistics
Feature vs Bugs
63%Features
Repository Contributions
123Total
Bugs
20
Commits
123
Features
34
Lines of code
11,164
Activity Months10
Your Network
37 peopleShared Repositories
37
Work History
March 2026
15 Commits • 1 Features
Mar 1, 2026March 2026 performance summary for luxonis/depthai-core. Delivered robustness, reliability, and quality improvements across calibration, data handling, crash diagnostics, and image processing, with enhanced testing discipline and a dependency update to capture upstream improvements. Focused on business value by reducing rework, minimizing downtime, and increasing confidence for releases. Key achievements (top 4–6): - Auto-calibration enhancements and robustness: Tightened runtime guards and API ergonomics for AutoCalibrationConfig; improved calibration flow resilience. Representative commits include d0420cbdba958b2fa6679dc133e7585c2dc8bd66, 67c31a6730741bcd6e021ecb911d03861ce040f7, 5e919581009a944732c6290791a38c82f25e9d69. - Upload and event handling reliability: Reduced upload timeouts and clarified user feedback on upload status. Commits include 83d62ecb8dbbe18bb6692c012d3c4efcf62910ab, c9cadcd4f5b07322d2204b3bfa283512dddb749b. - Crash handling and stability improvements: Enhanced crash handling, crash dumps, and diagnostics; preserved compatibility and resilience of EventsManager. Commits include 6e0f66f72e58c56b2bed21119108a74b5709f58d, b09e6027841456ded4aa670c9559e69f884c48b5, 5e3cd7c516d86654e3d36b71ffe56be6e16a9d82. - EEPROM undistortion correctness improvements: Ensure undistortion applies only when supported by EEPROM, boosting robustness of image processing. Commit: aecef82f4a7b116cd83e481ced923b44cf022889. - Code quality and testing reliability: Improved formatting consistency, lifecycle alignment, and test stability; reduced flaky tests and tuned tolerances. Commits include 65ccd4379290ff21dd9037f4d66a230db9cfab79, 41e7b23eff29b1a71de993c588bede3b4754232e, 322ccd4aa5b1537ab38b3912259b4b37eeb04185, c5016e585199d1044db4455c30d836d663bba67f, 7812367d05d715b1eb86cead8fcbd268394a6e02. - Library version update (DCL): Upgraded Dynamic Calibration Library to v0.4.0b7 to capture improvements and changes. Commit: df24d623f383aae7b1f59246337a2b84199d7c62.
15 Commits • 1 Features
Mar 1, 2026March 2026 performance summary for luxonis/depthai-core. Delivered robustness, reliability, and quality improvements across calibration, data handling, crash diagnostics, and image processing, with enhanced testing discipline and a dependency update to capture upstream improvements. Focused on business value by reducing rework, minimizing downtime, and increasing confidence for releases. Key achievements (top 4–6): - Auto-calibration enhancements and robustness: Tightened runtime guards and API ergonomics for AutoCalibrationConfig; improved calibration flow resilience. Representative commits include d0420cbdba958b2fa6679dc133e7585c2dc8bd66, 67c31a6730741bcd6e021ecb911d03861ce040f7, 5e919581009a944732c6290791a38c82f25e9d69. - Upload and event handling reliability: Reduced upload timeouts and clarified user feedback on upload status. Commits include 83d62ecb8dbbe18bb6692c012d3c4efcf62910ab, c9cadcd4f5b07322d2204b3bfa283512dddb749b. - Crash handling and stability improvements: Enhanced crash handling, crash dumps, and diagnostics; preserved compatibility and resilience of EventsManager. Commits include 6e0f66f72e58c56b2bed21119108a74b5709f58d, b09e6027841456ded4aa670c9559e69f884c48b5, 5e3cd7c516d86654e3d36b71ffe56be6e16a9d82. - EEPROM undistortion correctness improvements: Ensure undistortion applies only when supported by EEPROM, boosting robustness of image processing. Commit: aecef82f4a7b116cd83e481ced923b44cf022889. - Code quality and testing reliability: Improved formatting consistency, lifecycle alignment, and test stability; reduced flaky tests and tuned tolerances. Commits include 65ccd4379290ff21dd9037f4d66a230db9cfab79, 41e7b23eff29b1a71de993c588bede3b4754232e, 322ccd4aa5b1537ab38b3912259b4b37eeb04185, c5016e585199d1044db4455c30d836d663bba67f, 7812367d05d715b1eb86cead8fcbd268394a6e02. - Library version update (DCL): Upgraded Dynamic Calibration Library to v0.4.0b7 to capture improvements and changes. Commit: df24d623f383aae7b1f59246337a2b84199d7c62.
March 2026
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 (2026-02): DepthAI Core focused on aligning firmware versions with the latest development baseline to ensure consistent features, fixes, and interoperability across devices. Delivered Firmware Version Updates for the device-side component and the RVC4 firmware to the latest development version, enabling upcoming features and stability. No major bugs fixed this month; the work emphasized code quality and robust upgrade paths, setting the stage for smoother feature rollouts and easier maintenance.
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 (2026-02): DepthAI Core focused on aligning firmware versions with the latest development baseline to ensure consistent features, fixes, and interoperability across devices. Delivered Firmware Version Updates for the device-side component and the RVC4 firmware to the latest development version, enabling upcoming features and stability. No major bugs fixed this month; the work emphasized code quality and robust upgrade paths, setting the stage for smoother feature rollouts and easier maintenance.
January 2026
23 Commits • 7 Features
Jan 1, 2026January 2026 — Depthai-core delivered stability and value through feature updates, targeted bug fixes, and improved testing. Key features: Depthai Boards Update to latest; Exposed API Testing; Calibration Handler enhancements (units scaling and SI convention); DepthUnits.hpp usage unified across nodes. Major fixes: Concurrency and Job Rerun fixes (remove duplication, prevent spamming, cancel running reruns); internal method usage alignment in Calibration Handler; code quality fixes (clang-format, typo fixes). Business impact: more reliable API surface, consistent calibration behavior, fewer flaky builds, and faster developer iteration. Technologies demonstrated: C++, test design, concurrency control, code hygiene, and release-management practices.
23 Commits • 7 Features
Jan 1, 2026January 2026 — Depthai-core delivered stability and value through feature updates, targeted bug fixes, and improved testing. Key features: Depthai Boards Update to latest; Exposed API Testing; Calibration Handler enhancements (units scaling and SI convention); DepthUnits.hpp usage unified across nodes. Major fixes: Concurrency and Job Rerun fixes (remove duplication, prevent spamming, cancel running reruns); internal method usage alignment in Calibration Handler; code quality fixes (clang-format, typo fixes). Business impact: more reliable API surface, consistent calibration behavior, fewer flaky builds, and faster developer iteration. Technologies demonstrated: C++, test design, concurrency control, code hygiene, and release-management practices.
January 2026
December 2025
2 Commits • 2 Features
Dec 1, 2025Concise monthly summary for luxonis/depthai-core (2025-12): two key feature deliveries focused on numerical accuracy and multi-camera configuration support. Business value: improved numerical stability for downstream calculations and robust multi-camera integration; ready for broader deployment.
December 2025
2 Commits • 2 Features
Dec 1, 2025Concise monthly summary for luxonis/depthai-core (2025-12): two key feature deliveries focused on numerical accuracy and multi-camera configuration support. Business value: improved numerical stability for downstream calculations and robust multi-camera integration; ready for broader deployment.
November 2025
9 Commits • 3 Features
Nov 1, 202511/2025 monthly summary for luxonis/depthai-core: Delivered substantial testing and reliability improvements across the Dynamic Calibration Library, image transformation tests, and EEPROM field safety. Key features include updating the Dynamic Calibration library to 0.3.0rc2 with enhanced bindings tests, DynamicCalibrationControl fixes, and results alignment; expanding image transformation testing with frame size/transform validation, on-device tests, and improved test documentation; and adding EEPROM Flash Field Safety tests to ensure only allowed housing fields are modified and changes persist after flashing. In addition, several changes removed hardware dependency for tests, enabling CI to run without devices. These efforts improve calibration accuracy, test coverage, and developer feedback loops, delivering clear business value through higher reliability and faster iteration cycles.
9 Commits • 3 Features
Nov 1, 202511/2025 monthly summary for luxonis/depthai-core: Delivered substantial testing and reliability improvements across the Dynamic Calibration Library, image transformation tests, and EEPROM field safety. Key features include updating the Dynamic Calibration library to 0.3.0rc2 with enhanced bindings tests, DynamicCalibrationControl fixes, and results alignment; expanding image transformation testing with frame size/transform validation, on-device tests, and improved test documentation; and adding EEPROM Flash Field Safety tests to ensure only allowed housing fields are modified and changes persist after flashing. In addition, several changes removed hardware dependency for tests, enabling CI to run without devices. These efforts improve calibration accuracy, test coverage, and developer feedback loops, delivering clear business value through higher reliability and faster iteration cycles.
November 2025
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 was focused on stabilizing builds and standardizing the core node API in luxonis/depthai-core. Primary accomplishments included reverting the CMake versioning change to maintain a 17-based baseline across environments, and standardizing the CustomPCLProcessingNode interface by introducing default group, blocking, and queue size parameters along with a unified PointCloudData datatype to improve integration with the DepthAI framework. These changes reduce build fragmentation, accelerate feature work, and improve system reliability for downstream applications.
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 was focused on stabilizing builds and standardizing the core node API in luxonis/depthai-core. Primary accomplishments included reverting the CMake versioning change to maintain a 17-based baseline across environments, and standardizing the CustomPCLProcessingNode interface by introducing default group, blocking, and queue size parameters along with a unified PointCloudData datatype to improve integration with the DepthAI framework. These changes reduce build fragmentation, accelerate feature work, and improve system reliability for downstream applications.
September 2025
3 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for luxonis/depthai-core: Delivered two key dynamic calibration enhancements with documentation updates and naming consistency improvements. No major bugs fixed this month in this repository. The work enhances reliability of dynamic calibration workflows, accelerates developer onboarding, and improves cross-language readability between C++ and Python.
3 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for luxonis/depthai-core: Delivered two key dynamic calibration enhancements with documentation updates and naming consistency improvements. No major bugs fixed this month in this repository. The work enhances reliability of dynamic calibration workflows, accelerates developer onboarding, and improves cross-language readability between C++ and Python.
September 2025
August 2025
36 Commits • 13 Features
Aug 1, 2025August 2025: Delivered a robust data acquisition upgrade, improved testing automation, and cross-platform stability for luxonis/depthai-core. Implemented a new dataAcquired model with serialization support (including coverageAcquired), updated the interactive mode to use the altest API, and refreshed CI/code quality practices to enhance reliability and maintainability. The work yielded richer data for downstream analytics, faster QA cycles, and a more stable foundation across Linux and macOS.
August 2025
36 Commits • 13 Features
Aug 1, 2025August 2025: Delivered a robust data acquisition upgrade, improved testing automation, and cross-platform stability for luxonis/depthai-core. Implemented a new dataAcquired model with serialization support (including coverageAcquired), updated the interactive mode to use the altest API, and refreshed CI/code quality practices to enhance reliability and maintainability. The work yielded richer data for downstream analytics, faster QA cycles, and a more stable foundation across Linux and macOS.
July 2025
13 Commits • 2 Features
Jul 1, 2025July 2025 highlights: Delivered key Dynamic Calibration enhancements in luxonis/depthai-core, improving data access, scripting reach, and UI reliability. Core API and Python bindings now expose getCalibration, aligning the calibration read flow across C++ and Python. The calibration UI was revamped for reliability and easier use with MasterFrame consolidation and synchronized rendering. Also hardened the calibration pipeline with frame filtering and robust handling of empty frames and None messages to prevent desyncs and improve stability. These changes jointly increase developer productivity, reduce troubleshooting time, and enable broader deployment in production workflows.
13 Commits • 2 Features
Jul 1, 2025July 2025 highlights: Delivered key Dynamic Calibration enhancements in luxonis/depthai-core, improving data access, scripting reach, and UI reliability. Core API and Python bindings now expose getCalibration, aligning the calibration read flow across C++ and Python. The calibration UI was revamped for reliability and easier use with MasterFrame consolidation and synchronized rendering. Also hardened the calibration pipeline with frame filtering and robust handling of empty frames and None messages to prevent desyncs and improve stability. These changes jointly increase developer productivity, reduce troubleshooting time, and enable broader deployment in production workflows.
July 2025
June 2025
18 Commits • 2 Features
Jun 1, 2025June 2025 — In luxonis/depthai-core, completed major enhancements to dynamic calibration workflows, delivering runtime control, enhanced reporting, and targeted stability fixes. The work enables runtime switching between calibrations and dynamic updates of calibration data, introduces a new configuration datatype/node, and refines performance-mode APIs with improved robustness and error handling. It also elevates user-facing calibration insights with richer reporting, depth visualization readiness, and rotation-drift metrics, supported by an updated README. Finally, targeted stability and correctness fixes address continuous recalibration loop safeguards and fix translation/matrix calculation order and unit consistency to ensure reliable operation. These changes collectively improve flexibility, observability, and reliability of calibration workflows for production deployments and faster iteration.
June 2025
18 Commits • 2 Features
Jun 1, 2025June 2025 — In luxonis/depthai-core, completed major enhancements to dynamic calibration workflows, delivering runtime control, enhanced reporting, and targeted stability fixes. The work enables runtime switching between calibrations and dynamic updates of calibration data, introduces a new configuration datatype/node, and refines performance-mode APIs with improved robustness and error handling. It also elevates user-facing calibration insights with richer reporting, depth visualization readiness, and rotation-drift metrics, supported by an updated README. Finally, targeted stability and correctness fixes address continuous recalibration loop safeguards and fix translation/matrix calculation order and unit consistency to ensure reliable operation. These changes collectively improve flexibility, observability, and reliability of calibration workflows for production deployments and faster iteration.
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Quality Metrics
Correctness91.8%
Maintainability90.4%
Architecture89.0%
Performance86.2%
AI Usage20.6%
Skills & Technologies
Programming Languages
CC++CMakeMarkdownNonePythonYAMLcmake
Technical Skills
API DesignAPI DevelopmentAPI IntegrationAPI designAPI developmentAPI integrationAPI testingBindings DevelopmentBug FixBuild SystemBuild System ConfigurationBuild System ManagementBuild SystemsC++C++ Development
Repositories Contributed To
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