opencv/opencv
May 2026 – Jun 2026
2 Months active
Languages Used
C++OpenCL
Technical Skills
C++ developmentimage processingOpenCLalgorithm optimization
熊阔豪
PROFILE
熊阔豪
Worked on the opencv/opencv repository, focusing on improving the reliability and consistency of image processing internals over a two-month period. Addressed robustness in the boxFilter function by implementing strict kernel size validation in C++, ensuring only positive dimensions are accepted and returning clear errors to prevent undefined behavior. Enhanced cross-backend accuracy by aligning OpenCL remap rounding logic with the CPU implementation, resolving test failures and stabilizing GPU-accelerated pipelines. Demonstrated expertise in C++ and OpenCL, with a strong emphasis on algorithm optimization and image processing. Collaborated through detailed patch reviews and maintained adherence to project documentation and contribution guidelines.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
2Total
Bugs
2
Commits
2
Features
0
Lines of code
9
Activity Months2
Your Network
217 peopleShared Repositories
217
Work History
June 2026
1 Commits
Jun 1, 2026June 2026 monthly summary for opencv/opencv focusing on core accuracy, stability and cross-backend parity. The key work completed centers on the OpenCL image processing path, delivering a critical bug fix that aligns OpenCL remap rounding with the CPU implementation to resolve test failures and ensure consistent behavior across platforms.
1 Commits
Jun 1, 2026June 2026 monthly summary for opencv/opencv focusing on core accuracy, stability and cross-backend parity. The key work completed centers on the OpenCL image processing path, delivering a critical bug fix that aligns OpenCL remap rounding with the CPU implementation to resolve test failures and ensure consistent behavior across platforms.
June 2026
May 2026
1 Commits
May 1, 2026May 2026: Focused on robustness and reliability in image processing internals for opencv/opencv. Implemented kernel size validation for boxFilter to ensure kernel dimensions are strictly positive and to return a clear error (StsBadSize) instead of risking undefined behavior. This reduces runtime errors in image filtering workflows and simplifies debugging for users and maintainers. The change was merged from PR #29040 (commit 2ceda58d80861c0d4110efb69f9559bbf140bce0).
May 2026
1 Commits
May 1, 2026May 2026: Focused on robustness and reliability in image processing internals for opencv/opencv. Implemented kernel size validation for boxFilter to ensure kernel dimensions are strictly positive and to return a clear error (StsBadSize) instead of risking undefined behavior. This reduces runtime errors in image filtering workflows and simplifies debugging for users and maintainers. The change was merged from PR #29040 (commit 2ceda58d80861c0d4110efb69f9559bbf140bce0).
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++OpenCL
Technical Skills
C++ developmentOpenCLalgorithm optimizationimage processing
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