AFM-SPM/TopoStats
Oct 2024 – Jun 2025
9 Months active
Languages Used
MarkdownNumPyPythonBinaryYAMLpythonyamlCSV
Technical Skills
Code ClarityCode RenamingComputer VisionData AnalysisData ManipulationData Processing
SylviaWhittle
PROFILE
Sylviawhittle
Sylvia Whittle developed advanced grain analysis and image processing features for the AFM-SPM/TopoStats repository, focusing on robust data pipelines and configurable model behavior. She engineered multi-class thresholding, dynamic padding, and grain cropping utilities, integrating them with a flexible command-line interface and comprehensive validation logic. Using Python, NumPy, and Pandas, Sylvia refactored core data structures, improved loader compatibility for legacy file types, and expanded test coverage to ensure reliability. Her work emphasized maintainability and accuracy, with detailed documentation and modular design, resulting in a scalable analytics pipeline that supports precise segmentation, efficient preprocessing, and reproducible scientific workflows for users.
Overall Statistics
Feature vs Bugs
55%Features
Repository Contributions
343Total
Bugs
78
Commits
343
Features
97
Lines of code
21,693
Activity Months9
Your Network
8 people
Work History
June 2025
3 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for AFM-SPM/TopoStats focused on delivering user-facing improvements, loader robustness, and documentation accuracy. The team shipped a new grain image cropping option, hardened backward compatibility with legacy Bruker file extensions, and maintained quality through targeted tests and clear docs. These efforts reduce processing errors, improve workflow control for grain analysis, and strengthen maintainability for upcoming releases.
3 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for AFM-SPM/TopoStats focused on delivering user-facing improvements, loader robustness, and documentation accuracy. The team shipped a new grain image cropping option, hardened backward compatibility with legacy Bruker file extensions, and maintained quality through targeted tests and clear docs. These efforts reduce processing errors, improve workflow control for grain analysis, and strengthen maintainability for upcoming releases.
June 2025
May 2025
25 Commits • 10 Features
May 1, 2025May 2025 performance summary for AFM-SPM/TopoStats. Focused on delivering configurable model behavior, strengthening data preprocessing, and expanding test coverage to improve reliability, maintainability, and business value across the pipeline.
May 2025
25 Commits • 10 Features
May 1, 2025May 2025 performance summary for AFM-SPM/TopoStats. Focused on delivering configurable model behavior, strengthening data preprocessing, and expanding test coverage to improve reliability, maintainability, and business value across the pipeline.
April 2025
78 Commits • 14 Features
Apr 1, 2025April 2025 focused on delivering high-value features, improving configurability, and strengthening code quality for AFM-SPM/TopoStats. Key work included introducing multi_class_thresholding with accompanying tests and config to support multi-class behavior (including class merges and thresholds initialization fixes), expanding threshold configuration (adding whole_grain_size_thresholds and renaming absolute_area_thresholds to area_thresholds) with robust list-based initialization, and extensive code cleanup that re-added the regionprops wrapper. Plotting structure and run_grains logging were revamped for better traceability, while the test suite and fixtures were stabilized (including minicircle fixtures overhaul and removal of deprecated tests), enhancing CI reliability. These changes collectively improve measurement accuracy, configurability, and maintainability, accelerating reliable deployment of advanced grain analysis features across projects.
78 Commits • 14 Features
Apr 1, 2025April 2025 focused on delivering high-value features, improving configurability, and strengthening code quality for AFM-SPM/TopoStats. Key work included introducing multi_class_thresholding with accompanying tests and config to support multi-class behavior (including class merges and thresholds initialization fixes), expanding threshold configuration (adding whole_grain_size_thresholds and renaming absolute_area_thresholds to area_thresholds) with robust list-based initialization, and extensive code cleanup that re-added the regionprops wrapper. Plotting structure and run_grains logging were revamped for better traceability, while the test suite and fixtures were stabilized (including minicircle fixtures overhaul and removal of deprecated tests), enhancing CI reliability. These changes collectively improve measurement accuracy, configurability, and maintainability, accelerating reliable deployment of advanced grain analysis features across projects.
April 2025
March 2025
14 Commits • 3 Features
Mar 1, 2025March 2025: Summary focused on delivering business value through TopoStats improvements in three core areas: U-Net integration, thresholding modernization, and grains processing vetting. Deliverables include clearer TensorFlow model usage/docs and a new remove_disconnected_grains option; a modernized thresholding framework supporting lists, multi-threshold processing, and None bounds with new thresholding tensors; and a grains processing overhaul with enhanced vetting, border handling, and storage organization. These changes enable more robust, scalable segmentation, cleaner data, and more efficient workflows for downstream analytics.
March 2025
14 Commits • 3 Features
Mar 1, 2025March 2025: Summary focused on delivering business value through TopoStats improvements in three core areas: U-Net integration, thresholding modernization, and grains processing vetting. Deliverables include clearer TensorFlow model usage/docs and a new remove_disconnected_grains option; a modernized thresholding framework supporting lists, multi-threshold processing, and None bounds with new thresholding tensors; and a grains processing overhaul with enhanced vetting, border handling, and storage organization. These changes enable more robust, scalable segmentation, cleaner data, and more efficient workflows for downstream analytics.
February 2025
32 Commits • 11 Features
Feb 1, 2025February 2025 focused on strengthening reliability and widening capabilities in AFM-SPM/TopoStats. Delivered a robust GrainCrop validation flow, comprehensive test coverage for grain crops and full mask tensors, and a major GrainCrop refactor to validate on construction with support for non-square images. Cleaned and hardened codebase with linting, test stability fixes, and logical cleanups across processing, grainstats, and tracing modules. Updated topostats to store full mask tensors and enhanced documentation and config options. These actions improved CI reliability, data integrity for tensor-based analyses, and overall business value of the grain statistics pipeline.
32 Commits • 11 Features
Feb 1, 2025February 2025 focused on strengthening reliability and widening capabilities in AFM-SPM/TopoStats. Delivered a robust GrainCrop validation flow, comprehensive test coverage for grain crops and full mask tensors, and a major GrainCrop refactor to validate on construction with support for non-square images. Cleaned and hardened codebase with linting, test stability fixes, and logical cleanups across processing, grainstats, and tracing modules. Updated topostats to store full mask tensors and enhanced documentation and config options. These actions improved CI reliability, data integrity for tensor-based analyses, and overall business value of the grain statistics pipeline.
February 2025
January 2025
66 Commits • 13 Features
Jan 1, 2025January 2025 monthly summary for AFM-SPM/TopoStats focusing on data model enhancements, test infrastructure, pipeline robustness, and visualization improvements. The team delivered notable features, stabilized test fixtures, and fixed critical regressions to support reliable, scalable analysis workflows.
January 2025
66 Commits • 13 Features
Jan 1, 2025January 2025 monthly summary for AFM-SPM/TopoStats focusing on data model enhancements, test infrastructure, pipeline robustness, and visualization improvements. The team delivered notable features, stabilized test fixtures, and fixed critical regressions to support reliable, scalable analysis workflows.
December 2024
10 Commits • 3 Features
Dec 1, 2024In 2024-12, delivered targeted improvements to TopoStats: enhanced disordered tracing and grain processing configuration, hardened grain crop data pipeline, refactored GrainCrop validation, and expanded topostats analytics for grain crops. These changes improve trace accuracy, data integrity, maintainability, and visibility into grain crop analytics, enabling more reliable experiments and faster iteration.
10 Commits • 3 Features
Dec 1, 2024In 2024-12, delivered targeted improvements to TopoStats: enhanced disordered tracing and grain processing configuration, hardened grain crop data pipeline, refactored GrainCrop validation, and expanded topostats analytics for grain crops. These changes improve trace accuracy, data integrity, maintainability, and visibility into grain crop analytics, enabling more reliable experiments and faster iteration.
December 2024
November 2024
80 Commits • 27 Features
Nov 1, 2024November 2024 (2024-11) focused on delivering core multi-class handling capabilities, strengthening data validation, and improving the GrainCrops/GrainStats pipeline. Key features delivered include a unified merge_classes utility, configurable grain statistics by class, and extended grain crop extraction with bounding box and padding. The month also advanced testing and configuration robustness through vet_grains enhancements, Haribo debugging scaffolding, and related API improvements. Collectively these workstreams increased data integrity, model accuracy, and deployment confidence, while enabling easier future refactors and scalability.
November 2024
80 Commits • 27 Features
Nov 1, 2024November 2024 (2024-11) focused on delivering core multi-class handling capabilities, strengthening data validation, and improving the GrainCrops/GrainStats pipeline. Key features delivered include a unified merge_classes utility, configurable grain statistics by class, and extended grain crop extraction with bounding box and padding. The month also advanced testing and configuration robustness through vet_grains enhancements, Haribo debugging scaffolding, and related API improvements. Collectively these workstreams increased data integrity, model accuracy, and deployment confidence, while enabling easier future refactors and scalability.
October 2024
35 Commits • 15 Features
Oct 1, 2024October 2024 performance summary for AFM-SPM/TopoStats: Delivered core multi-class analytics capabilities, expanded documentation, and improved configuration reliability. Strengthened testing coverage across new grain-level and region-relationship utilities, enabling more accurate model evaluation and easier onboarding. Result: higher segmentation accuracy, clearer configuration onboarding, and improved stability for downstream analytics.
35 Commits • 15 Features
Oct 1, 2024October 2024 performance summary for AFM-SPM/TopoStats: Delivered core multi-class analytics capabilities, expanded documentation, and improved configuration reliability. Strengthened testing coverage across new grain-level and region-relationship utilities, enabling more accurate model evaluation and easier onboarding. Result: higher segmentation accuracy, clearer configuration onboarding, and improved stability for downstream analytics.
October 2024
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Quality Metrics
Correctness89.0%
Maintainability90.4%
Architecture85.0%
Performance80.2%
AI Usage20.2%
Skills & Technologies
Programming Languages
BinaryCSVMarkdownNoneNumPyNumpyPKLPandasPythonShell
Technical Skills
Algorithm DevelopmentAlgorithm ImplementationArgument ParsingBackend DevelopmentBug FixBug FixingCI/CDClass MergingCode ClarityCode CleanupCode MaintenanceCode OrganizationCode RefactoringCode RenamingCode Revert
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