OpenHUTB/nn
Dec 2025 – Dec 2025
1 Month active
Languages Used
Python
Technical Skills
PyTorchPythonalgorithm developmentautonomous drivingautonomous systemscomputer vision
lj2302
PROFILE
Lj2302
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
113
Activity Months1
Your Network
159 people
Work History
December 2025
3 Commits • 2 Features
Dec 1, 2025December 2025 monthly summary for OpenHUTB/nn: Delivered foundational work for autonomous driving obstacle avoidance and perception data pipelines. Key achievements include documentation and project setup for the Dynamic Obstacle Avoidance Algorithm (README with objectives and environment requirements, repo reorganization, and project rename) and the Autonomous Driving Perception Data Loading Module (skeleton AutoDriveDataset and data loader builder). Dependency management established with a requirements.txt (numpy, torch, OpenCV) to enable reproducible environments. No major bugs fixed this month; focus was on scaffolding, cleanup, and establishing a scalable foundation for future features. Impact: improved maintainability, onboarding, and readiness for downstream development, with demonstrated skills in Python, documentation, repository refactoring, and data pipeline design.
3 Commits • 2 Features
Dec 1, 2025December 2025 monthly summary for OpenHUTB/nn: Delivered foundational work for autonomous driving obstacle avoidance and perception data pipelines. Key achievements include documentation and project setup for the Dynamic Obstacle Avoidance Algorithm (README with objectives and environment requirements, repo reorganization, and project rename) and the Autonomous Driving Perception Data Loading Module (skeleton AutoDriveDataset and data loader builder). Dependency management established with a requirements.txt (numpy, torch, OpenCV) to enable reproducible environments. No major bugs fixed this month; focus was on scaffolding, cleanup, and establishing a scalable foundation for future features. Impact: improved maintainability, onboarding, and readiness for downstream development, with demonstrated skills in Python, documentation, repository refactoring, and data pipeline design.
December 2025
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance93.4%
AI Usage26.6%
Skills & Technologies
Programming Languages
Python
Technical Skills
PyTorchPythonalgorithm developmentautonomous drivingautonomous systemscomputer visiondata processingdata sciencedeep learningmachine learning
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