OpenwaterHealth/OpenLIFU-python
Nov 2024 – Nov 2024
1 Month active
Languages Used
Python
Technical Skills
Algorithm DevelopmentObject-Oriented ProgrammingSoftware FrameworksTesting
Loic Tetrel
PROFILE
Loic Tetrel
Loïc Tetrel developed a reusable virtual fitting framework for the OpenwaterHealth/OpenLIFU-python repository, focusing on the foundational VirtualFit class to support parameterized search ranges, steps, and thresholds. Using Python and leveraging object-oriented programming principles, he implemented utilities for generating search grids and analyzing transducer positions, establishing a systematic approach to virtual fitting experiments. The work included basic logging for improved observability and introduced placeholders for future skin extraction and plane fitting features. By adding a unit test to validate the core run method, Loïc ensured a baseline for testing and future integration, providing a solid starting point for iterative development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
192
Activity Months1
Your Network
48 people
Work History
November 2024
1 Commits • 1 Features
Nov 1, 2024Month: 2024-11 — OpenLIFU-python development focused on establishing a reusable virtual fitting framework and laying the groundwork for future capabilities. Key work centered on designing a VirtualFit class with parameterized search ranges, steps, and thresholds, plus utilities to generate a search grid and analyze transducer positions. The effort includes basic logging, placeholders for skin extraction and plane fitting, and a unit test ensuring that the core run path executes. This work provides a scalable foundation for iteration, testing, and integration with downstream pipelines, enabling quicker validation of virtual fitting strategies.
1 Commits • 1 Features
Nov 1, 2024Month: 2024-11 — OpenLIFU-python development focused on establishing a reusable virtual fitting framework and laying the groundwork for future capabilities. Key work centered on designing a VirtualFit class with parameterized search ranges, steps, and thresholds, plus utilities to generate a search grid and analyze transducer positions. The effort includes basic logging, placeholders for skin extraction and plane fitting, and a unit test ensuring that the core run path executes. This work provides a scalable foundation for iteration, testing, and integration with downstream pipelines, enabling quicker validation of virtual fitting strategies.
November 2024
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Algorithm DevelopmentObject-Oriented ProgrammingSoftware FrameworksTesting
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