L42i/SPRAWL
Nov 2024 – Nov 2024
1 Month active
Languages Used
C++CMakeGitMarkdownSCSuperColliderYAML
Technical Skills
AnsibleAudio EngineeringAudio NetworkingAudio Plugin DevelopmentAudio ProgrammingAudio Synthesis
Evan Murray
PROFILE
Evan Murray
Evan Murray developed and integrated a suite of features for the L42i/SPRAWL repository, focusing on spectral analysis, computer vision, and audio networking. He implemented spectral synthesis file generation and OpenCV-based camera tracking, refactoring code into a single C++ file for maintainability and efficiency. His work included building a SuperCollider camera plugin and standardizing initialization routines using CMake and Cap Open, which streamlined setup and improved reliability. By introducing an automation playbook and enhancing JackTrip connectivity, Evan reduced setup friction and accelerated feature delivery. He also addressed workflow stability through targeted bug fixes, demonstrating depth in both audio and vision pipelines.
Overall Statistics
Feature vs Bugs
77%Features
Repository Contributions
23Total
Bugs
3
Commits
23
Features
10
Lines of code
2,002
Activity Months1
Your Network
64 people
Work History
November 2024
23 Commits • 10 Features
Nov 1, 2024November 2024 monthly summary for L42i/SPRAWL: - Delivered a robust set of features spanning spectral analysis, computer vision, audio routing, and automation; enhanced initialization and connectivity workflows to improve developer velocity and platform reliability. - Implementations span spectral synthesis file generation, Evan scripts with working JackTrip, OpenCV-based camera tracking (single-file refactor with library imports and cleanup), camera data structures and detectors, and a SuperCollider camera plugin. Standardized capture initialization via Cap Open, introduced an automation playbook, and expanded connection handling (including Jack connections). Final spectral feature integration completed. - These changes enable end-to-end spectral analysis, camera-driven tracking, and reliable JackTrip connectivity, ready for production deployment and future feature expansion. Key outcomes include reduced setup friction, faster feature delivery, and improved stability across vision, audio, and automation pipelines.
23 Commits • 10 Features
Nov 1, 2024November 2024 monthly summary for L42i/SPRAWL: - Delivered a robust set of features spanning spectral analysis, computer vision, audio routing, and automation; enhanced initialization and connectivity workflows to improve developer velocity and platform reliability. - Implementations span spectral synthesis file generation, Evan scripts with working JackTrip, OpenCV-based camera tracking (single-file refactor with library imports and cleanup), camera data structures and detectors, and a SuperCollider camera plugin. Standardized capture initialization via Cap Open, introduced an automation playbook, and expanded connection handling (including Jack connections). Final spectral feature integration completed. - These changes enable end-to-end spectral analysis, camera-driven tracking, and reliable JackTrip connectivity, ready for production deployment and future feature expansion. Key outcomes include reduced setup friction, faster feature delivery, and improved stability across vision, audio, and automation pipelines.
November 2024
Activity
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Quality Metrics
Correctness86.2%
Maintainability85.2%
Architecture81.8%
Performance76.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMakeGitMarkdownSCSuperColliderYAML
Technical Skills
AnsibleAudio EngineeringAudio NetworkingAudio Plugin DevelopmentAudio ProgrammingAudio SynthesisBuild System ConfigurationC++C++ DevelopmentCMakeCode RefactoringComputer VisionConfiguration ManagementDSPDevOps
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