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Antoine Simoulin

PROFILE

Antoine Simoulin

During February 2025, contributed to the pytorch/vision repository by implementing support for rotated bounding box formats, including XYWHR, CXCYWHR, and XYXYXYXY, to enhance oriented-object detection workflows. Developed conversion logic and updated core utilities in Python and C++, ensuring seamless integration with existing image transformation pipelines. Comprehensive unit tests were added and existing test suites were updated to maintain compatibility and reliability across the codebase. The work demonstrated a thorough approach to feature delivery, from initial design through to robust testing, leveraging skills in computer vision, bounding box representation, and PyTorch to address evolving requirements in object detection tasks.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
461
Activity Months1

Work History

February 2025

1 Commits • 1 Features

Feb 1, 2025

February 2025 performance and contribution summary for pytorch/vision focusing on feature delivery and quality improvements. Key outcomes include feature delivery for rotated bounding box formats (XYWHR, CXCYWHR, XYXYXYXY), comprehensive test updates, and solid execution across the codebase.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++Python

Technical Skills

Bounding Box RepresentationComputer VisionImage TransformationsPyTorchUnit Testing

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

pytorch/vision

Feb 2025 Feb 2025
1 Month active

Languages Used

C++Python

Technical Skills

Bounding Box RepresentationComputer VisionImage TransformationsPyTorchUnit Testing