
Worked on expanding the RVV backend in the espressif/opencv repository, focusing on enhancing filter and morphology support within the OpenCV HAL. Leveraged C++ and RISC-V Vector Extension to implement Filter2D and separable filter operations with improved border handling and centralized macro management. Developed morphology operations for both single-channel and four-channel 8-bit images, addressing stability by refining error handling and removing redundant assertions. Emphasized code maintainability and traceability by documenting algorithm origins from third-party carotene sources. The work prioritized performance optimization and code clarity, delivering broader computer vision capabilities and improved reliability for embedded systems using the RVV platform.
March 2025: Expanded the RVV backend in espressif/opencv with feature-rich filter and morphology support, improved border handling, and strengthened code traceability. Focused on delivering business value through broader OpenCV HAL capabilities, stability, and maintainability on the RVV platform.
March 2025: Expanded the RVV backend in espressif/opencv with feature-rich filter and morphology support, improved border handling, and strengthened code traceability. Focused on delivering business value through broader OpenCV HAL capabilities, stability, and maintainability on the RVV platform.

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