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ramukhsuya

PROFILE

Ramukhsuya

Ayush Kumar contributed to the opencv/opencv repository by enhancing both documentation accuracy and deep learning functionality. He corrected the CAP_PROP_CONVERT_RGB documentation, clarifying that the property converts to BGR rather than RGB, which improves API clarity for developers working with computer vision pipelines. Additionally, Ayush implemented support for the TFLite Minimum layer in the DNN module, including comprehensive tests to ensure reliable integration and model compatibility. His work, primarily in C++ and leveraging deep learning and computer vision expertise, addressed both usability and technical correctness, demonstrating a thoughtful approach to maintaining and extending a widely used open-source codebase.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

2Total
Bugs
1
Commits
2
Features
1
Lines of code
35
Activity Months1

Work History

December 2025

2 Commits • 1 Features

Dec 1, 2025

Monthly summary for 2025-12 focusing on OpenCV opencv/opencv contributions. Delivered critical documentation correction for CAP_PROP_CONVERT_RGB and expanded DNN capabilities with TFLite Minimum layer support, including tests. These efforts improve API correctness, model compatibility, and developer experience across platforms.

Activity

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Quality Metrics

Correctness100.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++

Technical Skills

C++computer visiondeep learningdocumentation

Repositories Contributed To

1 repo

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

opencv/opencv

Dec 2025 Dec 2025
1 Month active

Languages Used

C++

Technical Skills

C++computer visiondeep learningdocumentation