nvidia-holoscan/holohub
Feb 2025 – Feb 2025
1 Month active
Languages Used
C++CMakeCUDADockerfileShell
Technical Skills
C++CMakeCUDAComputer VisionDockerHoloscan SDK
Colin Tracey
PROFILE
Colin Tracey
During February 2025, Chris Tracey developed the VPI Stereo Vision Application for the nvidia-holoscan/holohub repository, focusing on real-time stereo disparity estimation for depth perception workflows. He engineered the application using C++, CUDA, and the NVIDIA VPI library, implementing stereo input processing, image rectification, and disparity computation with an option for hardware acceleration. The solution integrated Holoviz for real-time visualization of stereo output, supporting robust and extensible deployment within computer vision pipelines. Chris’s work emphasized seamless integration and performance, delivering a feature that enhances the repository’s capabilities for stereo vision tasks without introducing new bugs during the development period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,978
Activity Months1
Your Network
1364 people
Work History
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025: Delivered VPI Stereo Vision Application (vpi_stereo) within nvidia-holoscan/holohub, enabling real-time stereo disparity estimation using NVIDIA VPI, with input processing, rectification, disparity computation, optional hardware acceleration, and Holoviz-based visualization. Focused on robust integration, performance, and extensibility for depth-perception workflows.
1 Commits • 1 Features
Feb 1, 2025February 2025: Delivered VPI Stereo Vision Application (vpi_stereo) within nvidia-holoscan/holohub, enabling real-time stereo disparity estimation using NVIDIA VPI, with input processing, rectification, disparity computation, optional hardware acceleration, and Holoviz-based visualization. Focused on robust integration, performance, and extensibility for depth-perception workflows.
February 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMakeCUDADockerfileShell
Technical Skills
C++CMakeCUDAComputer VisionDockerHoloscan SDKNVIDIA VPIStereo Vision
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