google-gemini/cookbook
Feb 2025 – Feb 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
3D ReconstructionComputer VisionData AnalysisPython Programming
Jacky Liang
PROFILE
Jacky Liang
Jacky Liang developed a multi-view correspondence and 2D point trajectory feature for the spatial understanding notebook in the google-gemini/cookbook repository. Using Python and Jupyter Notebook, Jacky implemented multi-view geometry techniques to enable analysis of 3D scenes from multiple camera perspectives. This addition allows users to track and analyze spatial relationships across views, supporting research and demonstration workflows that require cross-view analytics. The work focused on data visualization and robust feature delivery through version control. While the project scope was limited to a single feature over one month, the implementation demonstrated depth in 3D reconstruction and computer vision methodologies.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,514
Activity Months1
Your Network
34 people
Work History
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 — google-gemini/cookbook: Focused on expanding spatial understanding capabilities with multi-view analysis. Key feature delivered: Multi-view correspondence and 2D point trajectories added to the spatial understanding notebook, enabling analysis of 3D scenes from multiple camera perspectives. Commit: 28fc33fbc2189a30a682148165ea6049ffa93db0 (Multi-view correspondence and 2D point trajectories (#478)). Major bugs fixed: none reported this month. Overall impact: enables cross-view analytics in notebooks, improves research throughput and demonstration readiness for multi-camera workflows. Technologies/skills demonstrated: Python-based notebooks, multi-view geometry, data visualization in notebooks, version-controlled feature delivery.
1 Commits • 1 Features
Feb 1, 2025February 2025 — google-gemini/cookbook: Focused on expanding spatial understanding capabilities with multi-view analysis. Key feature delivered: Multi-view correspondence and 2D point trajectories added to the spatial understanding notebook, enabling analysis of 3D scenes from multiple camera perspectives. Commit: 28fc33fbc2189a30a682148165ea6049ffa93db0 (Multi-view correspondence and 2D point trajectories (#478)). Major bugs fixed: none reported this month. Overall impact: enables cross-view analytics in notebooks, improves research throughput and demonstration readiness for multi-camera workflows. Technologies/skills demonstrated: Python-based notebooks, multi-view geometry, data visualization in notebooks, version-controlled feature delivery.
February 2025
Activity
Loading activity data...
Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
3D ReconstructionComputer VisionData AnalysisPython Programming
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline