roboflow/supervision
Jul 2025 – Jul 2025
1 Month active
Languages Used
MarkdownPython
Technical Skills
Backend DevelopmentBug FixBug FixingCode RefactoringComputer VisionData Annotation
Ashp116
PROFILE
Ashp116
Ash built and enhanced core utilities for the roboflow/supervision repository, focusing on improving model evaluation and visualization workflows. Using Python and leveraging skills in computer vision and data visualization, Ash developed a robust box_iou utility with comprehensive documentation, enabling more accurate geometric calculations. He introduced a SplineAnnotator for smooth trajectory visualization, configurable through hyperparameters, and unified smoothing logic in the TraceAnnotator with a flexible flag. Ash also addressed a bug in the sv.move_oriented_boxes function, ensuring correct box movement. These contributions deepened the module’s reliability and usability, supporting both backend robustness and developer onboarding through clear documentation.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
11Total
Bugs
1
Commits
11
Features
3
Lines of code
316
Activity Months1
Your Network
22 peopleWork History
July 2025
11 Commits • 3 Features
Jul 1, 2025July 2025 highlights major progress in the roboflow/supervision module focused on robust utilities, enhanced visualization, and quality improvements. Key features delivered include a new box_iou utility with comprehensive documentation and strengthened robustness; a SplineAnnotator for smooth trajectory visualization with hyperparameter-driven smoothing; and unified TraceAnnotator smoothing integration via a configurable smooth flag. A bug fix corrected the input variable name for sv.move_oriented_boxes to ensure proper box movement, plus documentation improvements and pre-commit hygiene. These changes improve tracking accuracy, visualization reliability, and developer onboarding, delivering measurable business value in model evaluation pipelines and UI-assisted analytics.
11 Commits • 3 Features
Jul 1, 2025July 2025 highlights major progress in the roboflow/supervision module focused on robust utilities, enhanced visualization, and quality improvements. Key features delivered include a new box_iou utility with comprehensive documentation and strengthened robustness; a SplineAnnotator for smooth trajectory visualization with hyperparameter-driven smoothing; and unified TraceAnnotator smoothing integration via a configurable smooth flag. A bug fix corrected the input variable name for sv.move_oriented_boxes to ensure proper box movement, plus documentation improvements and pre-commit hygiene. These changes improve tracking accuracy, visualization reliability, and developer onboarding, delivering measurable business value in model evaluation pipelines and UI-assisted analytics.
July 2025
Activity
Loading activity data...
Quality Metrics
Correctness93.6%
Maintainability97.2%
Architecture91.0%
Performance81.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
Backend DevelopmentBug FixBug FixingCode RefactoringComputer VisionData AnnotationData VisualizationDocumentationGeometryImage ProcessingPython DevelopmentSoftware Development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline