viamrobotics/rdk
Apr 2025 – May 2025
2 Months active
Languages Used
Go
Technical Skills
API DevelopmentComputer VisionGoObject DetectionGo DevelopmentMachine Learning
kharijarrett
PROFILE
Kharijarrett
Khari contributed to the viamrobotics/rdk repository by developing features that improved the consistency and interoperability of object detection data in Go. He implemented normalized bounding box coordinates, ensuring detection results remained resolution-agnostic and compatible across various perception pipelines. In addition, Khari aligned ML vision image resizing by updating the service to match input images to model requirements, enhancing detection accuracy and output reliability. His work included creating a mock model and comprehensive tests to validate resizing and bounding box correctness. Through focused API development, computer vision, and testing, Khari delivered well-scoped, foundational improvements over a two-month period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
246
Activity Months2
Your Network
70 people
Work History
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for viamrobotics/rdk focusing on ML Vision Image Resizing Alignment. Implemented end-to-end resizing of mlvision inputs to the mlmodel's input size, updated the detector to apply the determined resize dimensions when formatting detection outputs, and introduced a new mock model with test coverage to verify resizing correctness and bounding box accuracy. This work aligns inference inputs and outputs, improves detection consistency, and provides verifiable acceptance tests.
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for viamrobotics/rdk focusing on ML Vision Image Resizing Alignment. Implemented end-to-end resizing of mlvision inputs to the mlmodel's input size, updated the detector to apply the determined resize dimensions when formatting detection outputs, and introduced a new mock model with test coverage to verify resizing correctness and bounding box accuracy. This work aligns inference inputs and outputs, improves detection consistency, and provides verifiable acceptance tests.
May 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for viamrobotics/rdk focused on enhancing object detection data quality and interoperability. Implemented normalization for bounding box coordinates, enabling consistent representation across varying image resolutions and streamlining downstream analytics and integrations.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for viamrobotics/rdk focused on enhancing object detection data quality and interoperability. Implemented normalization for bounding box coordinates, enabling consistent representation across varying image resolutions and streamlining downstream analytics and integrations.
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture90.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Go
Technical Skills
API DevelopmentComputer VisionGoGo DevelopmentMachine LearningObject DetectionTesting
Repositories Contributed To
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