ejustroboticsclub/MATE-ROV-2025
Apr 2025 – Apr 2025
1 Month active
Languages Used
Python
Technical Skills
GStreamerMultiprocessingOpenCV
Anas Badr
PROFILE
Anas Badr
Worked on the ejustroboticsclub/MATE-ROV-2025 repository to enhance camera streaming capabilities for multi-camera ROV deployments. Developed dynamic camera pipeline support using Python, GStreamer, and OpenCV, enabling the system to add cameras beyond the initial four through UDP-based pipelines. This approach abstracted pipeline management, reducing the need for manual reconfiguration and streamlining the onboarding of new cameras. Addressed pipeline stability by applying targeted fixes, which improved the reliability of live streams. The work demonstrated an end-to-end integration of UDP-based streaming with existing infrastructure, resulting in a more flexible and scalable CameraStreamer for robotics applications requiring extensibility.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
15
Activity Months1
Your Network
14 peopleShared Repositories
14
Work History
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 (2025-04) monthly summary for ejustroboticsclub/MATE-ROV-2025: Delivered scalable camera streaming enhancements and fixed critical pipeline issues. Implemented Dynamic Camera Pipeline Support with UDP-based pipelines to enable additional cameras beyond the initial four, enhancing flexibility and scalability of the CameraStreamer. Created dynamic pipelines, reducing manual reconfiguration and enabling smoother onboarding of new cameras. Addressed pipeline stability with targeted fixes (commit 375d80699182c59f23266d6cbfcd7077e7c23a20), improving reliability of live streams. Overall, these changes improve system extensibility for multi-camera ROV deployments and demonstrate proficiency with UDP-based streaming, pipeline orchestration, and code hygiene.
1 Commits • 1 Features
Apr 1, 2025April 2025 (2025-04) monthly summary for ejustroboticsclub/MATE-ROV-2025: Delivered scalable camera streaming enhancements and fixed critical pipeline issues. Implemented Dynamic Camera Pipeline Support with UDP-based pipelines to enable additional cameras beyond the initial four, enhancing flexibility and scalability of the CameraStreamer. Created dynamic pipelines, reducing manual reconfiguration and enabling smoother onboarding of new cameras. Addressed pipeline stability with targeted fixes (commit 375d80699182c59f23266d6cbfcd7077e7c23a20), improving reliability of live streams. Overall, these changes improve system extensibility for multi-camera ROV deployments and demonstrate proficiency with UDP-based streaming, pipeline orchestration, and code hygiene.
April 2025
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
GStreamerMultiprocessingOpenCV
Repositories Contributed To
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