nvidia-holoscan/holohub
Oct 2024 – Nov 2025
2 Months active
Languages Used
ShellC++Python
Technical Skills
Dependency ManagementScriptingAI DevelopmentC++ DevelopmentMachine LearningPython Development
Arun Patole
PROFILE
Arun Patole
Contributed to the nvidia-holoscan/holohub repository by developing an endoscopic surgical tool tracking application that leverages GPU-accelerated H.264 video decoding and LSTM-based AI inference for real-time tool detection and visualization. The solution was implemented in both C++ and Python, featuring a multi-stage processing pipeline with memory layout optimizations to enhance performance. Additionally, improved installation workflows by updating scripts and dependencies for GXF 4.1 compatibility, reducing user friction and supporting downstream integrations. Work focused on AI development, video processing, and dependency management, with thorough documentation and testing to ensure reliability and maintainability across both C++ and Python codebases.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
1,224
Activity Months2
Your Network
1671 peopleSame Organization
@nvidia.com1629
Shared Repositories
42
Work History
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for nvidia-holoscan/holohub: Delivered an Endoscopic Surgical Tool Tracking Application leveraging GPU-accelerated H.264 video decoding and LSTM-based AI inference to enable real-time tool detection, visualization, and optional output recording. Implemented both C++ and Python implementations with a robust multi-stage pipeline and memory-layout optimizations for improved performance.
1 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for nvidia-holoscan/holohub: Delivered an Endoscopic Surgical Tool Tracking Application leveraging GPU-accelerated H.264 video decoding and LSTM-based AI inference to enable real-time tool detection, visualization, and optional output recording. Implemented both C++ and Python implementations with a robust multi-stage pipeline and memory-layout optimizations for improved performance.
November 2025
October 2024
1 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for nvidia-holoscan/holohub: Focused on ensuring seamless installation and compatibility with the GXF 4.1 stack. Implemented GXF 4.1 compatibility in the installation workflow for holohub, including updating the installation script and dependency handling. Updated download URLs to version 1.3.0 and CUDA 12.6 to maintain compatibility with the newer GXF version and to provide a smooth install experience for users. These changes reduce installation errors, improve onboarding, and prepare the product for downstream integrations with the latest NVIDIA stacks.
October 2024
1 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for nvidia-holoscan/holohub: Focused on ensuring seamless installation and compatibility with the GXF 4.1 stack. Implemented GXF 4.1 compatibility in the installation workflow for holohub, including updating the installation script and dependency handling. Updated download URLs to version 1.3.0 and CUDA 12.6 to maintain compatibility with the newer GXF version and to provide a smooth install experience for users. These changes reduce installation errors, improve onboarding, and prepare the product for downstream integrations with the latest NVIDIA stacks.
Activity
Loading activity data...
Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture100.0%
Performance90.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
C++PythonShell
Technical Skills
AI DevelopmentC++ DevelopmentDependency ManagementMachine LearningPython DevelopmentScriptingVideo Processing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline