opencv/opencv
May 2026 – May 2026
1 Month active
Languages Used
C++
Technical Skills
C++ developmentimage processingperformance benchmarking
Alex Wu
PROFILE
Alex Wu
Developed and integrated Laplacian filter acceleration for the opencv/opencv repository, leveraging the RISC-V Vector Extension (RVV) to enable faster edge detection in image processing workflows. Focused on C++ development, the work supported multiple kernel sizes and border types, ensuring compatibility with existing OpenCV implementations while optimizing performance for RVV-enabled hardware. A dedicated benchmarking suite was created to validate performance across platforms, and results were documented for adoption. The contribution included cross-repository collaboration with opencv_extra, adherence to licensing and documentation standards, and thorough PR readiness checks, demonstrating a methodical approach to performance engineering and open-source contribution practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
590
Activity Months1
Your Network
217 peopleShared Repositories
217
Work History
May 2026
1 Commits • 1 Features
May 1, 2026Month: 2026-05 — Delivered work focused on accelerating edge detection via RVV (RISC-V Vector Extension) in OpenCV and validating performance across platforms. Feature delivered: Laplacian filtering accelerated by RVV with support for multiple kernel sizes and border types; includes a dedicated performance benchmark suite and cross-platform validation. No major bug fixes were reported this month; all efforts centered on feature delivery and performance engineering. Overall impact: expanded hardware support for OpenCV, enabling faster, scalable edge detection on RVV-enabled devices, which can improve real-time image processing workloads and energy efficiency across platforms. Technologies/skills demonstrated: RVV vectorization and integration into OpenCV's image processing pipeline, performance benchmarking and analysis, cross-repo collaboration (including opencv_extra), and contribution workflow (PR readiness and licensing compliance).
1 Commits • 1 Features
May 1, 2026Month: 2026-05 — Delivered work focused on accelerating edge detection via RVV (RISC-V Vector Extension) in OpenCV and validating performance across platforms. Feature delivered: Laplacian filtering accelerated by RVV with support for multiple kernel sizes and border types; includes a dedicated performance benchmark suite and cross-platform validation. No major bug fixes were reported this month; all efforts centered on feature delivery and performance engineering. Overall impact: expanded hardware support for OpenCV, enabling faster, scalable edge detection on RVV-enabled devices, which can improve real-time image processing workloads and energy efficiency across platforms. Technologies/skills demonstrated: RVV vectorization and integration into OpenCV's image processing pipeline, performance benchmarking and analysis, cross-repo collaboration (including opencv_extra), and contribution workflow (PR readiness and licensing compliance).
May 2026
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++ developmentimage processingperformance benchmarking
Repositories Contributed To
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