
Jaka Skerl contributed to luxonis/depthai-core by developing features that enhanced stereo depth visualization, device management, and test infrastructure. He implemented a C++ demo for stereo depth perception, integrating rectification and disparity visualization to support hands-on exploration. Jaka improved the test harness and CI reliability by unifying test execution with CMake and introducing robust process management in both C++ and Python. He expanded calibration test coverage, refactored device discovery workflows, and streamlined camera example usage to reduce configuration errors. His work demonstrated depth in C++ development, computer vision, and Python scripting, resulting in more maintainable, reliable, and user-friendly codebases.

September 2025 highlights for luxonis/depthai-core: delivered two developer-facing features and refreshed core dependencies to improve stability, onboarding, and future readiness. Focused on simplifying stereo camera example usage and updating Python package dependencies to current releases.
September 2025 highlights for luxonis/depthai-core: delivered two developer-facing features and refreshed core dependencies to improve stability, onboarding, and future readiness. Focused on simplifying stereo camera example usage and updating Python package dependencies to current releases.
Monthly summary for 2025-08 focused on delivering UX improvements and streamlined workflows in luxonis/depthai-core Device Manager. The key update enhances device discovery, information visibility, and streaming initiation, contributing to faster device setup and reduced user friction.
Monthly summary for 2025-08 focused on delivering UX improvements and streamlined workflows in luxonis/depthai-core Device Manager. The key update enhances device discovery, information visibility, and streaming initiation, contributing to faster device setup and reduced user friction.
July 2025 monthly summary for luxonis/depthai-core focusing on the CalibrationHandler extrinsics work. Key deliverables centered on expanding test coverage, infrastructure improvements, and maintainability to reduce regression risk and accelerate safe releases. Key highlights: - Feature delivered: Comprehensive testing coverage for CalibrationHandler.getCameraExtrinsics and getExtrinsics, evaluating scenarios including invalid IDs, unconnected origins, direct links, same-origin cameras, multiple independent origins, cycles, and complex chained extrinsics composition. - Test infrastructure improvements: Updates to CMakeLists.txt and spdlog linking to ensure reliable test execution and consistent logging in test runs. - Quality and maintainability: Minor formatting cleanup in the test file to improve readability and maintainability. Impact and value: - Increased confidence in depthai-core’s extrinsics computations, enabling safer releases and faster iteration for downstream vision and depth-processing features. - Enhanced regression protection for calibration workflows, reducing risk of breakages in production deployments. Technologies/skills demonstrated: - C++ testing, test infrastructure (CMake), logging integration (spdlog), and test suite maintenance. - Complex scenario coverage for graph-like extrinsics relationships, contributing to more robust calibration features.
July 2025 monthly summary for luxonis/depthai-core focusing on the CalibrationHandler extrinsics work. Key deliverables centered on expanding test coverage, infrastructure improvements, and maintainability to reduce regression risk and accelerate safe releases. Key highlights: - Feature delivered: Comprehensive testing coverage for CalibrationHandler.getCameraExtrinsics and getExtrinsics, evaluating scenarios including invalid IDs, unconnected origins, direct links, same-origin cameras, multiple independent origins, cycles, and complex chained extrinsics composition. - Test infrastructure improvements: Updates to CMakeLists.txt and spdlog linking to ensure reliable test execution and consistent logging in test runs. - Quality and maintainability: Minor formatting cleanup in the test file to improve readability and maintainability. Impact and value: - Increased confidence in depthai-core’s extrinsics computations, enabling safer releases and faster iteration for downstream vision and depth-processing features. - Enhanced regression protection for calibration workflows, reducing risk of breakages in production deployments. Technologies/skills demonstrated: - C++ testing, test infrastructure (CMake), logging integration (spdlog), and test suite maintenance. - Complex scenario coverage for graph-like extrinsics relationships, contributing to more robust calibration features.
April 2025 (luxonis/depthai-core): Implemented targeted test infrastructure enhancements and on-device test organization to increase reliability, reduce flaky CI runs, and accelerate feedback loops. Key changes center on consolidating test-related work: relocating py_custom_services to device-tests, updating test configurations and directories for test_wrapper, and moving the subprocess header into tests/include/subprocess to improve test code locality. C++ example tests gained increased timeouts to address intermittent failures, while Python custom_services tests now run on-device thanks to explicit test labeling. These changes, backed by the commits a474e60d9eb1f5f237efa7c211dc2b84e13d8c62 and 07203a948dc1e03efe4aa149b000d472f74c516e, deliver clearer test ownership, better coverage, and faster, more reliable CI feedback.
April 2025 (luxonis/depthai-core): Implemented targeted test infrastructure enhancements and on-device test organization to increase reliability, reduce flaky CI runs, and accelerate feedback loops. Key changes center on consolidating test-related work: relocating py_custom_services to device-tests, updating test configurations and directories for test_wrapper, and moving the subprocess header into tests/include/subprocess to improve test code locality. C++ example tests gained increased timeouts to address intermittent failures, while Python custom_services tests now run on-device thanks to explicit test labeling. These changes, backed by the commits a474e60d9eb1f5f237efa7c211dc2b84e13d8c62 and 07203a948dc1e03efe4aa149b000d472f74c516e, deliver clearer test ownership, better coverage, and faster, more reliable CI feedback.
2025-03 Monthly Summary — luxonis/depthai-core: Focused on stabilizing the test harness to improve reliability and debuggability of example/test runs. Implemented unified test wrapper and execution controls, integrated with CMake to run examples with timeouts and capture output, and added a C++ subprocess library for robust process management. Reorganized test and example configurations and adjusted timeouts to reduce flaky tests and speed up debugging. This work enhances CI stability, accelerates root-cause diagnosis, and improves contributor onboarding.
2025-03 Monthly Summary — luxonis/depthai-core: Focused on stabilizing the test harness to improve reliability and debuggability of example/test runs. Implemented unified test wrapper and execution controls, integrated with CMake to run examples with timeouts and capture output, and added a C++ subprocess library for robust process management. Reorganized test and example configurations and adjusted timeouts to reduce flaky tests and speed up debugging. This work enhances CI stability, accelerates root-cause diagnosis, and improves contributor onboarding.
Month: 2025-02 Overview: Delivered a focused feature enhancement in luxonis/depthai-core by adding a Stereo Depth Visualization Demo using DepthAI. The work delivers a practical, ready-to-run C++ example that demonstrates stereo depth perception, processing with rectification and extended disparity, and visualizing left, right, and colorized disparity images. Interactive viewing and a quit option were implemented to facilitate hands-on exploration and quick validation.
Month: 2025-02 Overview: Delivered a focused feature enhancement in luxonis/depthai-core by adding a Stereo Depth Visualization Demo using DepthAI. The work delivers a practical, ready-to-run C++ example that demonstrates stereo depth perception, processing with rectification and extended disparity, and visualizing left, right, and colorized disparity images. Interactive viewing and a quit option were implemented to facilitate hands-on exploration and quick validation.
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