danforthcenter/plantcv
Oct 2024 – Dec 2025
15 Months active
Languages Used
PythonMarkdownYAMLGit IgnoreSQLNumPyOpenCV
Technical Skills
DebuggingImage ProcessingSoftware DevelopmentCode FormattingCode OrganizationCode Quality
HaleySchuhl
PROFILE
Haleyschuhl
Haley Schuhl contributed to the danforthcenter/plantcv repository by developing and refining advanced image analysis workflows for plant phenotyping. Over 15 months, Haley engineered robust segmentation, color calibration, and spectral analysis features, emphasizing maintainability and test coverage. Using Python, NumPy, and OpenCV, she implemented modular algorithms for color card detection, size scaling, and skeleton-based measurements, while enhancing API clarity and documentation. Her work included rigorous debugging, CI/CD integration, and code quality improvements, resulting in more reliable analytics pipelines. Through iterative refactoring and comprehensive documentation updates, Haley ensured that PlantCV’s tools remained accessible, reproducible, and adaptable for diverse research needs.
Overall Statistics
Feature vs Bugs
70%Features
Repository Contributions
294Total
Bugs
33
Commits
294
Features
77
Lines of code
231,509
Activity Months15
Your Network
8 peopleWork History
December 2025
1 Commits
Dec 1, 2025December 2025 Monthly Summary for danforthcenter/plantcv. Focused on documentation accuracy for the dual channels thresholding workflow. There were no new feature deployments this month; the primary accomplishment was a documentation bug fix ensuring example code matches actual behavior. Impact and value: - Improves user guidance for the dual channels thresholding workflow, reducing potential misconfigurations and support requests. - Supports smoother onboarding and adoption by ensuring the example code reflects real functionality. Technologies and skills demonstrated: - Markdown documentation accuracy and QA - Git version control and precise commit messaging (traceability of changes) - Attention to detail and documentation review processes
1 Commits
Dec 1, 2025December 2025 Monthly Summary for danforthcenter/plantcv. Focused on documentation accuracy for the dual channels thresholding workflow. There were no new feature deployments this month; the primary accomplishment was a documentation bug fix ensuring example code matches actual behavior. Impact and value: - Improves user guidance for the dual channels thresholding workflow, reducing potential misconfigurations and support requests. - Supports smoother onboarding and adoption by ensuring the example code reflects real functionality. Technologies and skills demonstrated: - Markdown documentation accuracy and QA - Git version control and precise commit messaging (traceability of changes) - Attention to detail and documentation review processes
December 2025
November 2025
26 Commits • 11 Features
Nov 1, 2025November 2025 (2025-11) delivered targeted improvements across documentation, testing, data visualization, and dependency stability for danforthcenter/plantcv. The month balanced user-facing docs with rigorous quality work, ensuring maintainability and reliable analytics pipelines while keeping dependencies aligned with current Python ecosystems.
November 2025
26 Commits • 11 Features
Nov 1, 2025November 2025 (2025-11) delivered targeted improvements across documentation, testing, data visualization, and dependency stability for danforthcenter/plantcv. The month balanced user-facing docs with rigorous quality work, ensuring maintainability and reliable analytics pipelines while keeping dependencies aligned with current Python ecosystems.
October 2025
25 Commits • 7 Features
Oct 1, 2025October 2025 monthly performance summary for danforthcenter/plantcv: Focused on reliability, maintainability, and value delivery across core image-analysis work. Key outcomes include robust empty-mask handling in filters.obj_props with expanded tests and CI coverage; API clarity improvements through renaming analyze_width to segment_width; color-analysis enhancements with new analyze_width utility, a single dist transform debug image, and mini classic support in color card detection; skeleton-based distance and label handling improvements for more accurate local maxima estimation; and comprehensive documentation/config improvements that reduce onboarding friction (parallel_inspect_config.md and config parsing cleanups). These changes improve product stability, reduce debugging time, and enable faster feature delivery. Technologies demonstrated include Python, NumPy, pytest, CI/deepsource hygiene, and advanced image-analysis techniques.
25 Commits • 7 Features
Oct 1, 2025October 2025 monthly performance summary for danforthcenter/plantcv: Focused on reliability, maintainability, and value delivery across core image-analysis work. Key outcomes include robust empty-mask handling in filters.obj_props with expanded tests and CI coverage; API clarity improvements through renaming analyze_width to segment_width; color-analysis enhancements with new analyze_width utility, a single dist transform debug image, and mini classic support in color card detection; skeleton-based distance and label handling improvements for more accurate local maxima estimation; and comprehensive documentation/config improvements that reduce onboarding friction (parallel_inspect_config.md and config parsing cleanups). These changes improve product stability, reduce debugging time, and enable faster feature delivery. Technologies demonstrated include Python, NumPy, pytest, CI/deepsource hygiene, and advanced image-analysis techniques.
October 2025
September 2025
6 Commits • 1 Features
Sep 1, 2025Monthly work summary for 2025-09 focused on danforthcenter/plantcv: stabilized testing workflow and enhanced diagnostic visuals to improve reliability and clarity for model validation and debugging.
September 2025
6 Commits • 1 Features
Sep 1, 2025Monthly work summary for 2025-09 focused on danforthcenter/plantcv: stabilized testing workflow and enhanced diagnostic visuals to improve reliability and clarity for model validation and debugging.
August 2025
36 Commits • 11 Features
Aug 1, 2025August 2025 monthly summary for danforthcenter/plantcv focusing on stability, new functionality, and quality improvements across the batch. Key outcomes include bug fixes improving stability/regressions, size scaling/orientation-agnostic chip dimensions, enhanced diagnostics and debugging, documentation updates, and code quality improvements. These efforts enhanced reliability, expanded capabilities for image analysis workflows, and improved developer and user experience.
36 Commits • 11 Features
Aug 1, 2025August 2025 monthly summary for danforthcenter/plantcv focusing on stability, new functionality, and quality improvements across the batch. Key outcomes include bug fixes improving stability/regressions, size scaling/orientation-agnostic chip dimensions, enhanced diagnostics and debugging, documentation updates, and code quality improvements. These efforts enhanced reliability, expanded capabilities for image analysis workflows, and improved developer and user experience.
August 2025
July 2025
33 Commits • 8 Features
Jul 1, 2025July 2025 performance highlights for danforthcenter/plantcv: Delivered robust color card handling, API clarity, debugging capabilities, and documentation improvements to boost reliability and developer productivity. Focused on color card workflows, detection robustness, and code quality to accelerate feature delivery and reduce maintenance.
July 2025
33 Commits • 8 Features
Jul 1, 2025July 2025 performance highlights for danforthcenter/plantcv: Delivered robust color card handling, API clarity, debugging capabilities, and documentation improvements to boost reliability and developer productivity. Focused on color card workflows, detection robustness, and code quality to accelerate feature delivery and reduce maintenance.
June 2025
20 Commits • 2 Features
Jun 1, 2025June 2025 (2025-06) monthly summary for danforthcenter/plantcv. Focused on delivering core spectral analysis capabilities and establishing consistent measurement scaling across the project, with improvements to reliability, documentation, and maintainability.
20 Commits • 2 Features
Jun 1, 2025June 2025 (2025-06) monthly summary for danforthcenter/plantcv. Focused on delivering core spectral analysis capabilities and establishing consistent measurement scaling across the project, with improvements to reliability, documentation, and maintainability.
June 2025
May 2025
57 Commits • 13 Features
May 1, 2025May 2025 monthly summary for danforthcenter/plantcv: Delivered robust testing, visualization improvements, and stability enhancements; achieved major refactors for maintainability; and updated documentation for clarity and onboarding. The work focused on delivering business value through reliable analyses, clearer visual outputs, and a scalable codebase.
May 2025
57 Commits • 13 Features
May 1, 2025May 2025 monthly summary for danforthcenter/plantcv: Delivered robust testing, visualization improvements, and stability enhancements; achieved major refactors for maintainability; and updated documentation for clarity and onboarding. The work focused on delivering business value through reliable analyses, clearer visual outputs, and a scalable codebase.
April 2025
14 Commits • 2 Features
Apr 1, 2025April 2025 (Month: 2025-04) – danforthcenter/plantcv: Implemented feature-rich updates and robustness improvements across documentation, color-based analysis, and segmentation workflows. Key features delivered include (1) Documentation Improvements across modules with install docs header refinements and overall style consistency; (2) Color Card Detection feature: added private helper, docstrings, visualization function, and API exposure (visualize.color_card_detection) with integration into the package init; and (3) Segment Ends and Segmentation Robustness: fixed handling of unsortable objects, simplified labeling order, and updated tests with whitespace cleanup. Major bugs fixed include removal of the optimal_assignment path and updates to _find_segment_ends to gracefully skip unsortable objects, supported by new tests for edge cases. Overall impact: higher reliability of segmentation and color-card analysis, clearer developer onboarding via improved docs, and reduced lint/maintainability issues. Technologies/skills demonstrated: Python, image segmentation and color-detection algorithms, unit testing, documentation standards, visualization, API design, and code cleanup.
14 Commits • 2 Features
Apr 1, 2025April 2025 (Month: 2025-04) – danforthcenter/plantcv: Implemented feature-rich updates and robustness improvements across documentation, color-based analysis, and segmentation workflows. Key features delivered include (1) Documentation Improvements across modules with install docs header refinements and overall style consistency; (2) Color Card Detection feature: added private helper, docstrings, visualization function, and API exposure (visualize.color_card_detection) with integration into the package init; and (3) Segment Ends and Segmentation Robustness: fixed handling of unsortable objects, simplified labeling order, and updated tests with whitespace cleanup. Major bugs fixed include removal of the optimal_assignment path and updates to _find_segment_ends to gracefully skip unsortable objects, supported by new tests for edge cases. Overall impact: higher reliability of segmentation and color-card analysis, clearer developer onboarding via improved docs, and reduced lint/maintainability issues. Technologies/skills demonstrated: Python, image segmentation and color-detection algorithms, unit testing, documentation standards, visualization, API design, and code cleanup.
April 2025
March 2025
9 Commits • 4 Features
Mar 1, 2025March 2025 (2025-03) monthly summary for danforthcenter/plantcv. Delivered API refinements, expanded testing, and documentation improvements that increase stability, usability, and maintainability. Key features delivered include a Segment Ends API change that returns coordinates directly with a debug image (docs/tests updated); expanded test coverage for input validation in crop_position_mask_bad_inputs to improve robustness; standardized unit labeling in stem analysis outputs for clarity; and ongoing documentation and repository hygiene improvements.
March 2025
9 Commits • 4 Features
Mar 1, 2025March 2025 (2025-03) monthly summary for danforthcenter/plantcv. Delivered API refinements, expanded testing, and documentation improvements that increase stability, usability, and maintainability. Key features delivered include a Segment Ends API change that returns coordinates directly with a debug image (docs/tests updated); expanded test coverage for input validation in crop_position_mask_bad_inputs to improve robustness; standardized unit labeling in stem analysis outputs for clarity; and ongoing documentation and repository hygiene improvements.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 (2025-02) — danforthcenter/plantcv: Delivered metadata propagation for spectral indices and updated test data to preserve context and support downstream analysis. These changes enhance data provenance and reliability of spectral index results, enabling more accurate downstream workflows and reporting.
2 Commits • 1 Features
Feb 1, 2025February 2025 (2025-02) — danforthcenter/plantcv: Delivered metadata propagation for spectral indices and updated test data to preserve context and support downstream analysis. These changes enhance data provenance and reliability of spectral index results, enabling more accurate downstream workflows and reporting.
February 2025
January 2025
22 Commits • 4 Features
Jan 1, 2025January 2025 (2025-01) monthly summary for danforthcenter/plantcv: Implemented core feature improvements to segment_ends sorting and assignment, cleaned color-related code, and expanded documentation to support the new behavior and defaults. Delivered business value through more accurate segment mapping, reduced technical debt, and clearer guidance for users and developers. Key outcomes include refactoring segment_end sorting into helpers, introducing optimal segment assignment logic, removing unused imports and labels in color modules, and enhancing MkDocs docs with the segment_ends overview, assets, and deprecation guidance.
January 2025
22 Commits • 4 Features
Jan 1, 2025January 2025 (2025-01) monthly summary for danforthcenter/plantcv: Implemented core feature improvements to segment_ends sorting and assignment, cleaned color-related code, and expanded documentation to support the new behavior and defaults. Delivered business value through more accurate segment mapping, reduced technical debt, and clearer guidance for users and developers. Key outcomes include refactoring segment_end sorting into helpers, introducing optimal segment assignment logic, removing unused imports and labels in color modules, and enhancing MkDocs docs with the segment_ends overview, assets, and deprecation guidance.
December 2024
29 Commits • 10 Features
Dec 1, 2024December 2024 monthly summary for danforthcenter/plantcv. Focus was on stabilizing and expanding the segmentation pipeline, strengthening API design, and improving test coverage and documentation. Deliverables enhanced reliability, performance, and developer productivity while preserving business value for end users. Key deliveries and outcomes: - Segment ends feature and tests: Implemented Segment ends via segment_ends.py, integrated into morphology initialization, and introduced segment_img as a required input with outputs. Added comprehensive tests for tip/branch detection and end-case handling. Commits include ac60d30ef69bdb0099219cbf63dc3a1610f03b28, 7558e8c9d288f9fd03d30f34fb43e2077eb5a9ed, acffd97276e64180409fa8596a408b86edf84565, 43cfbdb2e90e1160f0cbdef2c2449b476d31bafe, 49bdc7835eff0a4a43383cca09303777770c31a6, 5753678d964cf9a47a320127fe8aa0a5625f63ae. - Front-end labeling and tips helper refactor: Introduced _find_tips helper, propagated to front-end logic, and simplified API by removing label from the helper. Commits include 0ea31289b13c80e609775e4f0c8aa1bf4d142deb, 269137a43018ec8d05e281d7ffc2cc78886ee997, cf17f11a200235d788d192245cd8c522e93ff9fb, 034ebac57f8c8bab53bc3dc9586167ed290c2b7a. - Package initialization and code quality improvements: Updated package exports in __init__.py to improve stability and discoverability; numerous refactors to move helpers, switch to range-based loops, and address whitespace and line-length issues. Commit(s) include d0f49b204132cb284dddb01343bd63033ddd3d50 and related whitespace/refactor changes. - Tests, docs cleanup and coverage expansion: Cleaned up tests and docs, fixed typos, adjusted docs to show debug output, removed obsolete assets, and expanded test coverage for segment_id and segment ends. Commits include 38085f219ce53a263e88cc833efd04914e174140, d3179b5f9981fb2b540f318c9690346bb4b6e6ca, 42940fb7aa164f556c8764819d420db4ee9c03c6, f033097d331423ac00db65608a8cf126bd59db10, 4c48eacef6c442c3a332a72e4e4ced556309df36, fc6074d1d543268ef69e89e320150d5fafeed0ae, 81d05747aac19bb2243beb6d71be4889411c7b83. - UI/content enhancements and performance improvements: Added tassel tutorial to the gallery and updated the landing page; implemented Segment_ID optimization to enable optimal ID assignment with corresponding test updates. Commit(s) include fadc34b81b59c11795b172d9efebddb05b4b5a22, 81d05747aac19bb2243beb6d71be4889411c7b83. Overall impact and business value: - A more capable segmentation toolkit with robust validation, clearer APIs, and stronger test coverage, reducing regression risk and onboarding time. - Improved maintainability through targeted refactors, standardized code style, and clearer exports. - Enhanced user experience and documentation visibility with updated UI content and debug-focused docs, supporting faster troubleshooting and adoption.
29 Commits • 10 Features
Dec 1, 2024December 2024 monthly summary for danforthcenter/plantcv. Focus was on stabilizing and expanding the segmentation pipeline, strengthening API design, and improving test coverage and documentation. Deliverables enhanced reliability, performance, and developer productivity while preserving business value for end users. Key deliveries and outcomes: - Segment ends feature and tests: Implemented Segment ends via segment_ends.py, integrated into morphology initialization, and introduced segment_img as a required input with outputs. Added comprehensive tests for tip/branch detection and end-case handling. Commits include ac60d30ef69bdb0099219cbf63dc3a1610f03b28, 7558e8c9d288f9fd03d30f34fb43e2077eb5a9ed, acffd97276e64180409fa8596a408b86edf84565, 43cfbdb2e90e1160f0cbdef2c2449b476d31bafe, 49bdc7835eff0a4a43383cca09303777770c31a6, 5753678d964cf9a47a320127fe8aa0a5625f63ae. - Front-end labeling and tips helper refactor: Introduced _find_tips helper, propagated to front-end logic, and simplified API by removing label from the helper. Commits include 0ea31289b13c80e609775e4f0c8aa1bf4d142deb, 269137a43018ec8d05e281d7ffc2cc78886ee997, cf17f11a200235d788d192245cd8c522e93ff9fb, 034ebac57f8c8bab53bc3dc9586167ed290c2b7a. - Package initialization and code quality improvements: Updated package exports in __init__.py to improve stability and discoverability; numerous refactors to move helpers, switch to range-based loops, and address whitespace and line-length issues. Commit(s) include d0f49b204132cb284dddb01343bd63033ddd3d50 and related whitespace/refactor changes. - Tests, docs cleanup and coverage expansion: Cleaned up tests and docs, fixed typos, adjusted docs to show debug output, removed obsolete assets, and expanded test coverage for segment_id and segment ends. Commits include 38085f219ce53a263e88cc833efd04914e174140, d3179b5f9981fb2b540f318c9690346bb4b6e6ca, 42940fb7aa164f556c8764819d420db4ee9c03c6, f033097d331423ac00db65608a8cf126bd59db10, 4c48eacef6c442c3a332a72e4e4ced556309df36, fc6074d1d543268ef69e89e320150d5fafeed0ae, 81d05747aac19bb2243beb6d71be4889411c7b83. - UI/content enhancements and performance improvements: Added tassel tutorial to the gallery and updated the landing page; implemented Segment_ID optimization to enable optimal ID assignment with corresponding test updates. Commit(s) include fadc34b81b59c11795b172d9efebddb05b4b5a22, 81d05747aac19bb2243beb6d71be4889411c7b83. Overall impact and business value: - A more capable segmentation toolkit with robust validation, clearer APIs, and stronger test coverage, reducing regression risk and onboarding time. - Improved maintainability through targeted refactors, standardized code style, and clearer exports. - Enhanced user experience and documentation visibility with updated UI content and debug-focused docs, supporting faster troubleshooting and adoption.
December 2024
November 2024
13 Commits • 2 Features
Nov 1, 2024November 2024: Delivered two major features for plantcv and strengthened quality and documentation. Key features include Auto Correct Color (color calibration workflow with module, tests, and docs) and API updates for ECDF visualization (obj_size_ecdf rename and new obj_sizes). Achieved significant code quality improvements via Deepsource fixes and whitespace cleanup, with expanded docs and examples to support the upcoming v4.0 changes. Impact includes faster reliable color calibration, clearer API usage, improved test coverage and maintainability, and better onboarding through comprehensive docs.
November 2024
13 Commits • 2 Features
Nov 1, 2024November 2024: Delivered two major features for plantcv and strengthened quality and documentation. Key features include Auto Correct Color (color calibration workflow with module, tests, and docs) and API updates for ECDF visualization (obj_size_ecdf rename and new obj_sizes). Achieved significant code quality improvements via Deepsource fixes and whitespace cleanup, with expanded docs and examples to support the upcoming v4.0 changes. Impact includes faster reliable color calibration, clearer API usage, improved test coverage and maintainability, and better onboarding through comprehensive docs.
October 2024
1 Commits • 1 Features
Oct 1, 2024In Oct 2024, focused on enhancing debugging visualization in PlantCV's prune workflow to improve debugging clarity and maintainability. Delivered a visualization enhancement that shows the visual representation of the pruned skeleton in the second prune debug image, replacing the prior display of the pruned skeleton itself. This enables more informative debugging artifacts and faster issue diagnosis. No major bugs fixed this month; the work was feature-driven with emphasis on code quality and maintainability in the pruning pipeline.
1 Commits • 1 Features
Oct 1, 2024In Oct 2024, focused on enhancing debugging visualization in PlantCV's prune workflow to improve debugging clarity and maintainability. Delivered a visualization enhancement that shows the visual representation of the pruned skeleton in the second prune debug image, replacing the prior display of the pruned skeleton itself. This enables more informative debugging artifacts and faster issue diagnosis. No major bugs fixed this month; the work was feature-driven with emphasis on code quality and maintainability in the pruning pipeline.
October 2024
Activity
Loading activity data...
Quality Metrics
Correctness94.0%
Maintainability94.6%
Architecture92.4%
Performance91.2%
AI Usage20.2%
Skills & Technologies
Programming Languages
Git IgnoreMarkdownNumPyOpenCVPythonSQLYAML
Technical Skills
API DesignAPI integrationAlgorithm DevelopmentAlgorithm RefactoringBug FixingCI/CDChart ConfigurationCode CleanupCode FormattingCode LintingCode OrganizationCode QualityCode ReadabilityCode RefactoringCode Reusability
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline