dsi-clinic/CMAP
Jan 2025 – Mar 2025
3 Months active
Languages Used
PythonJSONJupyter NotebookMarkdown
Technical Skills
Cluster ComputingCode LintingComputer VisionData MappingData ProcessingData Visualization
Gregory Mark Caesar
PROFILE
Gregory Mark Caesar
Gregory Carter contributed to the dsi-clinic/CMAP repository by developing and refining features for geospatial data analysis and machine learning workflows. He implemented cluster-aware training environment gating in Python to ensure GPU resources were properly utilized, and built data mapping scripts to support visualization and analysis of Cook and Kane County datasets. Gregory integrated the Segment Anything model as a Git submodule, streamlining external updates and reducing maintenance overhead. His work included parallelized evaluation scripts in Jupyter Notebooks, code refactoring for improved readability, and comprehensive documentation updates. These efforts resulted in a more maintainable, scalable, and efficient codebase for the project.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
14Total
Bugs
0
Commits
14
Features
7
Lines of code
7,727
Activity Months3
Your Network
27 peopleSame Organization
@fe01.ds.uchicago.edu4
Work History
March 2025
7 Commits • 2 Features
Mar 1, 2025March 2025 CMAP work summary for performance reviews. Delivered external Segment Anything integration by moving segment_anything_source_code to a submodule, enabling independent updates and reducing internal maintenance load. Completed thorough codebase hygiene and maintenance to improve readability, robustness, and build stability. Updated documentation and notebooks, removed unused dataset, and refined repo cleanliness to shorten onboarding and future maintenance cycles. Overall impact: leaner, more maintainable codebase with faster build times and easier integration with external tooling.
7 Commits • 2 Features
Mar 1, 2025March 2025 CMAP work summary for performance reviews. Delivered external Segment Anything integration by moving segment_anything_source_code to a submodule, enabling independent updates and reducing internal maintenance load. Completed thorough codebase hygiene and maintenance to improve readability, robustness, and build stability. Updated documentation and notebooks, removed unused dataset, and refined repo cleanliness to shorten onboarding and future maintenance cycles. Overall impact: leaner, more maintainable codebase with faster build times and easier integration with external tooling.
March 2025
February 2025
2 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for dsi-clinic/CMAP: Key features delivered include the Kane County SAM Data Analysis Notebook (WIP) for loading vector data, generating visualizations, and printing geometric information to support SAM data analysis, and class-specific IoU calculations with parallelized evaluation to speed up model assessment across classes in Jupyter Notebook. Major bugs fixed: none reported this month. Overall impact: enhanced geospatial data analysis workflow and scalable model evaluation, enabling faster insights and more robust performance tracking. Technologies/skills demonstrated: Python, Jupyter notebooks, geospatial data handling (vector data), per-class IoU metrics, and parallel processing for data analysis and model evaluation.
February 2025
2 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for dsi-clinic/CMAP: Key features delivered include the Kane County SAM Data Analysis Notebook (WIP) for loading vector data, generating visualizations, and printing geometric information to support SAM data analysis, and class-specific IoU calculations with parallelized evaluation to speed up model assessment across classes in Jupyter Notebook. Major bugs fixed: none reported this month. Overall impact: enhanced geospatial data analysis workflow and scalable model evaluation, enabling faster insights and more robust performance tracking. Technologies/skills demonstrated: Python, Jupyter notebooks, geospatial data handling (vector data), per-class IoU metrics, and parallel processing for data analysis and model evaluation.
January 2025
5 Commits • 3 Features
Jan 1, 2025Month: 2025-01 Key features delivered: - Cluster-aware training environment gating (GPU/compute node checks) implemented in train.py to enforce runs only on GPU-enabled compute nodes, preventing accidental runs on the head node and ensuring GPU availability checks. - Commits: dd4da009d20606496e0e593dd611002f464ccfe3; a50a97e7b20ee45a964140ca2a6862a80c574b51; 90f955741bb6c68b96fc09ffb5c6aa027da451d6 (linting). - Cook County data mapping groundwork with gibi.py to map Cook County data for CMAP, enabling data visualization and analysis. - Commit: 95f81cdd1c02feed4a72be4b852d9cfa73b2b7ed - Segment-Anything model testing scripts and tutorials, including image processing/visualization pipelines with SAM. - Commit: 84ee38e2cceae3428d810a3ccef6c45459262b5d
5 Commits • 3 Features
Jan 1, 2025Month: 2025-01 Key features delivered: - Cluster-aware training environment gating (GPU/compute node checks) implemented in train.py to enforce runs only on GPU-enabled compute nodes, preventing accidental runs on the head node and ensuring GPU availability checks. - Commits: dd4da009d20606496e0e593dd611002f464ccfe3; a50a97e7b20ee45a964140ca2a6862a80c574b51; 90f955741bb6c68b96fc09ffb5c6aa027da451d6 (linting). - Cook County data mapping groundwork with gibi.py to map Cook County data for CMAP, enabling data visualization and analysis. - Commit: 95f81cdd1c02feed4a72be4b852d9cfa73b2b7ed - Segment-Anything model testing scripts and tutorials, including image processing/visualization pipelines with SAM. - Commit: 84ee38e2cceae3428d810a3ccef6c45459262b5d
January 2025
Activity
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Quality Metrics
Correctness86.4%
Maintainability86.8%
Architecture85.8%
Performance84.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMarkdownPython
Technical Skills
Cluster ComputingCode LintingCode RefactoringComputer VisionData AnalysisData MappingData ProcessingData VisualizationDeep LearningDocumentationGPU ComputingGeospatial AnalysisGitGit SubmodulesImage Segmentation
Repositories Contributed To
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