OpenHUTB/nn
Dec 2025 – Apr 2026
3 Months active
Languages Used
PythonYAML
Technical Skills
Data AnalysisGitHub ActionsPython ScriptingPython scriptingdata analysisCode Refactoring
Zimin,Liu
PROFILE
Zimin,liu
Over a three-month period, contributed to the OpenHUTB/nn repository by developing analytics and visualization features focused on contributor metrics and computer vision. Built automated GitHub Actions workflows and Python scripts to compute per-user contribution statistics, integrating with the GitHub API for data-driven insights and supporting user-defined time ranges. Refactored legacy analytics code for improved efficiency and reusability across repositories. Additionally, introduced a CAM visualization module for CNNs in the CARLA simulator, enabling sensor data visualization and lightweight sensor management. Emphasized maintainability through code refactoring, documentation updates, and stability improvements, leveraging Python, GitHub Actions, and computer vision techniques throughout.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
4
Lines of code
3,934
Activity Months3
Your Network
263 peopleWork History
April 2026
4 Commits • 2 Features
Apr 1, 2026OpenHUTB/nn — 2026-04 monthly summary: Delivered CAM visualization features for CARLA and introduced a lightweight sensor mode, with focused stability improvements and documentation enhancements. Key work includes the Carla_CAM Visualization module for CNN CAM visualization in CARLA, the lightweight mode enabling selective sensors, and targeted fixes to improve reliability. Commit-driven improvements emphasize module initialization, dependency stability, and code maintainability across the month.
4 Commits • 2 Features
Apr 1, 2026OpenHUTB/nn — 2026-04 monthly summary: Delivered CAM visualization features for CARLA and introduced a lightweight sensor mode, with focused stability improvements and documentation enhancements. Key work includes the Carla_CAM Visualization module for CNN CAM visualization in CARLA, the lightweight mode enabling selective sensors, and targeted fixes to improve reliability. Commit-driven improvements emphasize module initialization, dependency stability, and code maintainability across the month.
April 2026
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for OpenHUTB/nn: Delivered a new Contribution Statistics Analytics Workflow that computes contributor metrics over user-defined time ranges by integrating with GitHub API. This refactor replaces the legacy Contribution_analysis.py with a more efficient, scalable workflow and introduces automated actions (add_contribution_actions). The change improves performance, accuracy, and visibility of contributions for stakeholders, and lays groundwork for reuse in other repos.
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for OpenHUTB/nn: Delivered a new Contribution Statistics Analytics Workflow that computes contributor metrics over user-defined time ranges by integrating with GitHub API. This refactor replaces the legacy Contribution_analysis.py with a more efficient, scalable workflow and introduces automated actions (add_contribution_actions). The change improves performance, accuracy, and visibility of contributions for stakeholders, and lays groundwork for reuse in other repos.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 — OpenHUTB/nn: Delivered Contribution Analytics by adding a GitHub Actions workflow and a Python script to compute per-user contribution metrics (commits, lines added/deleted, issues, and comments). No major bugs fixed this month. Impact: provides data-driven visibility into contributor engagement, enabling better recognition, planning, and governance. Technologies/skills: GitHub Actions automation, Python data extraction/aggregation, repository data integration, and script-based analytics. Commit reference: 366bc672972dc12b034353ff269eadb381cd6541 (统计贡献度 (#3171)).
1 Commits • 1 Features
Dec 1, 2025December 2025 — OpenHUTB/nn: Delivered Contribution Analytics by adding a GitHub Actions workflow and a Python script to compute per-user contribution metrics (commits, lines added/deleted, issues, and comments). No major bugs fixed this month. Impact: provides data-driven visibility into contributor engagement, enabling better recognition, planning, and governance. Technologies/skills: GitHub Actions automation, Python data extraction/aggregation, repository data integration, and script-based analytics. Commit reference: 366bc672972dc12b034353ff269eadb381cd6541 (统计贡献度 (#3171)).
December 2025
Activity
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Quality Metrics
Correctness86.6%
Maintainability83.4%
Architecture80.0%
Performance83.4%
AI Usage36.6%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
Code RefactoringComputer VisionData AnalysisDeep LearningGUI DevelopmentGitHub ActionsMachine LearningPygamePythonPython ProgrammingPython ScriptingPython scriptingSensor ManagementSimulation DevelopmentSoftware Documentation
Repositories Contributed To
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