OpenHUTB/nn
Dec 2025 – Mar 2026
2 Months active
Languages Used
Python
Technical Skills
Computer VisionDeep LearningMachine LearningPythoncomputer visiondeep learning
ZZyy22200
PROFILE
Zzyy22200
Worked on the OpenHUTB/nn repository to deliver unified 2D/3D object detection and robust lane detection systems using Python, OpenCV, and deep learning. Developed an end-to-end pipeline by integrating YOLO for 2D detection with MiDaS for depth estimation, enabling richer scene understanding and depth visualization for analytics. Refactored the monocular 3D detection module, improved documentation, and streamlined onboarding through enhanced setup processes. Enhanced the lane detection workflow with image-based processing, curvature calculation, and lane deviation features, while addressing runtime errors to improve reliability. Focused on code quality, maintainability, and preparing the repository for production deployment and broader testing.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
16Total
Bugs
1
Commits
16
Features
4
Lines of code
3,110
Activity Months2
Your Network
263 peopleWork History
March 2026
13 Commits • 2 Features
Mar 1, 2026OpenHUTB/nn – March 2026 monthly summary focusing on business value and technical achievements. The month centered on delivering a robust monocular 3D object detection workflow and a more reliable lane detection pipeline, with significant refactors, feature enrichments, and stability improvements that prepare the project for broader deployment and testing.
13 Commits • 2 Features
Mar 1, 2026OpenHUTB/nn – March 2026 monthly summary focusing on business value and technical achievements. The month centered on delivering a robust monocular 3D object detection workflow and a more reliable lane detection pipeline, with significant refactors, feature enrichments, and stability improvements that prepare the project for broader deployment and testing.
March 2026
December 2025
3 Commits • 2 Features
Dec 1, 2025Month: 2025-12. This period focused on delivering a unified 2D/3D perception capability in the OpenHUTB/nn repo, improving reproducibility, and tightening code quality. Key business-value outcomes include richer scene understanding for downstream analytics, faster onboarding for monocular 3D workflows, and a cleaner, more maintainable detector pipeline ready for production deployment.
December 2025
3 Commits • 2 Features
Dec 1, 2025Month: 2025-12. This period focused on delivering a unified 2D/3D perception capability in the OpenHUTB/nn repo, improving reproducibility, and tightening code quality. Key business-value outcomes include richer scene understanding for downstream analytics, faster onboarding for monocular 3D workflows, and a cleaner, more maintainable detector pipeline ready for production deployment.
Activity
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Quality Metrics
Correctness90.0%
Maintainability82.6%
Architecture82.6%
Performance81.2%
AI Usage38.8%
Skills & Technologies
Programming Languages
Python
Technical Skills
Computer VisionDeep LearningMachine LearningOpenCVPythoncomputer visiondata analysisdeep learningimage processinglane detectionmachine learning
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