ScrollPrize/villa
Jun 2026 – Jul 2026
2 Months active
Languages Used
MarkdownPython
Technical Skills
Data AugmentationDeep LearningGPU programmingMachine LearningPyTorchdata augmentation
pscamillo
PROFILE
Pscamillo
Developed a GPU-native data augmentation suite for the ScrollPrize/villa repository, focusing on realistic simulation of scroll and CT scan distortions to improve segmentation model training. Leveraging Python, PyTorch, and C++, the work introduced custom transforms such as SqueezeTransform, Decohesion, and Warp, as well as GPU-accelerated artifact generators for CT data. The technical approach emphasized efficient GPU programming and robust API design, with thorough documentation updates and configuration improvements. Bug fixes addressed surface metric calculations and artifact padding, while enhancements to the build system and onboarding documentation streamlined local development, supporting faster experimentation and more reproducible research workflows.
Overall Statistics
Feature vs Bugs
78%Features
Repository Contributions
11Total
Bugs
2
Commits
11
Features
7
Lines of code
1,349
Activity Months2
Your Network
37 peopleShared Repositories
37
Work History
July 2026
8 Commits • 6 Features
Jul 1, 2026July 2026 delivered robust CT augmentation capabilities, core surface-metrics fixes, and developer-experience improvements, enabling faster experimentation with realistic artifacts and easier local development. The work strengthened data quality, runtime stability, and onboarding for new contributors, aligning with business goals of faster R&D cycles and repeatable benchmarks.
8 Commits • 6 Features
Jul 1, 2026July 2026 delivered robust CT augmentation capabilities, core surface-metrics fixes, and developer-experience improvements, enabling faster experimentation with realistic artifacts and easier local development. The work strengthened data quality, runtime stability, and onboarding for new contributors, aligning with business goals of faster R&D cycles and repeatable benchmarks.
July 2026
June 2026
3 Commits • 1 Features
Jun 1, 2026June 2026 monthly work summary for ScrollPrize/villa, focused on delivering a GPU-native data augmentation suite to improve segmentation training for scrolls. Implemented a triad of augmentations to realistically simulate distortions: SqueezeTransform (scroll-specific compression), Decohesion, and Warp (to reduce blur and capture natural bending). These were delivered through three commits that also refined tooling docs and API exposure. The work establishes a more realistic synthetic data pipeline, enabling more robust segmentation models with less manual post-processing.
June 2026
3 Commits • 1 Features
Jun 1, 2026June 2026 monthly work summary for ScrollPrize/villa, focused on delivering a GPU-native data augmentation suite to improve segmentation training for scrolls. Implemented a triad of augmentations to realistically simulate distortions: SqueezeTransform (scroll-specific compression), Decohesion, and Warp (to reduce blur and capture natural bending). These were delivered through three commits that also refined tooling docs and API exposure. The work establishes a more realistic synthetic data pipeline, enabling more robust segmentation models with less manual post-processing.
Activity
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Quality Metrics
Correctness100.0%
Maintainability94.6%
Architecture92.8%
Performance92.8%
AI Usage61.8%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
Backend DevelopmentC++Computer VisionData AugmentationDeep LearningDevOpsDocumentationGPU ComputingGPU programmingImage ProcessingMachine LearningMarkdownPackagingPyTorchPython
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