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PROFILE

Linasko

Over three months, Link Ondrackis contributed to the roboflow/supervision repository by developing and refining features for computer vision workflows, focusing on object detection, tracking, and annotation. He implemented oriented bounding box metrics, improved video processing, and enhanced inference compatibility, using Python and NumPy to ensure robust data handling and metric calculations. His work included refactoring algorithms for tracking accuracy, stabilizing dependencies, and expanding documentation for developer usability. By addressing bugs in frame handling and data indexing, and introducing utilities for keypoint detection and annotation, Link delivered depth in both feature development and code quality, supporting reliable, maintainable machine learning pipelines.

Overall Statistics

Feature vs Bugs

70%Features

Repository Contributions

69Total
Bugs
9
Commits
69
Features
21
Lines of code
5,319
Activity Months3

Work History

December 2024

11 Commits • 5 Features

Dec 1, 2024

December 2024 (roboflow/supervision) delivered robustness improvements and stability enhancements across inference results, annotators, and tooling, with clear business value in reliability and developer productivity. The work focused on ensuring correct handling of Diverse result formats, safer data indexing, and stable dependencies, while simplifying download paths and improving documentation.

November 2024

53 Commits • 15 Features

Nov 1, 2024

November 2024 (2024-11) monthly summary for roboflow/supervision focused on delivering robust tracking features, stabilizing core components, and strengthening release readiness. The team drove improvements across tracking accuracy, video handling, and developer experience, while expanding documentation and testing to support reliable adoption and ongoing velocity.

October 2024

5 Commits • 1 Features

Oct 1, 2024

Month: 2024-10 | Repository: roboflow/supervision. Key features delivered: Oriented Bounding Box (OBB) metrics support and improvements enabling multi-metric evaluation (precision, recall, F1, mAP) with integration of oriented_box_iou_batch, updated OBB IoU calculations, handling empty detections, and expanded metric targets for more accurate reporting. Commit coverage includes: 02735848b5cf19224842255017a8282c2e80114c; 37f0ad8b1432401704b79f48311724a19d73aaca; d1c07bc106d9f8fe24cad933fed10382748cfa32.

Activity

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Quality Metrics

Correctness94.0%
Maintainability95.0%
Architecture92.2%
Performance89.2%
AI Usage20.0%

Skills & Technologies

Programming Languages

BashC++MarkdownPythonTOMLYAML

Technical Skills

API DesignAlgorithm DevelopmentAlgorithm RefactoringAsset ManagementBug FixBug FixingCI/CDChangelog ManagementCode ClarityCode CleanupCode ExamplesCode ReadabilityCode RefactoringComputer VisionConfiguration Management

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

roboflow/supervision

Oct 2024 Dec 2024
3 Months active

Languages Used

PythonBashMarkdownTOMLYAMLC++

Technical Skills

Bug FixingComputer VisionData HandlingData ScienceMachine LearningMachine Learning Metrics

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