ENSG-TSI24/cute-gis
Nov 2024 – Dec 2024
2 Months active
Languages Used
C++CMakeJavaScriptXMLQMLQMake
Technical Skills
C++CMakeFile Path ManagementGeoJSON ProcessingOpenGLQt
LBilheran
PROFILE
Lbilheran
Loïs Bilheran developed core geospatial rendering features for the ENSG-TSI24/cute-gis repository, focusing on both architectural clarity and user-facing visualization improvements. Over two months, Loïs implemented dynamic camera and viewport adaptation, enabling proportional views during window resizing and zooming, and introduced GeoTIFF raster loading to support diverse geospatial data. The work included modularizing the rendering pipeline into 2D and 3D components, unifying vector and raster layer management, and refactoring for maintainability. Using C++, OpenGL, and the Qt framework, Loïs addressed file loading reliability and streamlined build processes, demonstrating depth in graphics programming and robust software design for GIS applications.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
14Total
Bugs
1
Commits
14
Features
5
Lines of code
2,186
Activity Months2
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111 peopleShared Repositories
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Work History
December 2024
12 Commits • 4 Features
Dec 1, 2024Month: 2024-12. This period delivered a cohesive set of rendering enhancements and geospatial capabilities for ENSG-TSI24/cute-gis, with a clear architectural reorganization to support scalable rendering of vector and raster data. Key outcomes include dynamic camera/view adaptation for proportional visualization, GeoTIFF raster loading and rendering, a modular Renderer architecture with filled polygons and outlines, and a unified LayerBase system for consistent layer management across 2D vector and raster data. The work improves visualization accuracy, performance, and developer productivity, enabling faster feature delivery and easier maintenance.
12 Commits • 4 Features
Dec 1, 2024Month: 2024-12. This period delivered a cohesive set of rendering enhancements and geospatial capabilities for ENSG-TSI24/cute-gis, with a clear architectural reorganization to support scalable rendering of vector and raster data. Key outcomes include dynamic camera/view adaptation for proportional visualization, GeoTIFF raster loading and rendering, a modular Renderer architecture with filled polygons and outlines, and a unified LayerBase system for consistent layer management across 2D vector and raster data. The work improves visualization accuracy, performance, and developer productivity, enabling faster feature delivery and easier maintenance.
December 2024
November 2024
2 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for ENSG-TSI24/cute-gis focusing on feature delivery, stability fixes, and maintainability improvements in the GeoJsonViewer. Emphasis on delivering business value through improved data visualization, reliable file loading, and streamlined build processes.
November 2024
2 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for ENSG-TSI24/cute-gis focusing on feature delivery, stability fixes, and maintainability improvements in the GeoJsonViewer. Emphasis on delivering business value through improved data visualization, reliable file loading, and streamlined build processes.
Activity
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Quality Metrics
Correctness85.0%
Maintainability83.6%
Architecture84.2%
Performance74.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMakeJavaScriptQMLQMakeXML
Technical Skills
3D Graphics3D Math3D RenderingC++C++ DevelopmentCMakeCamera ControlComputer GraphicsFile I/OFile Path ManagementFront-end DevelopmentGDALGIS Software DevelopmentGeoJSON ProcessingGeospatial Data Handling
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