hacksider/Deep-Live-Cam
May 2026 – May 2026
1 Month active
Languages Used
Python
Technical Skills
CUDAPythonPython scriptingbackend developmentenvironment variable managementsystem programming
Olivier Booklage
PROFILE
Olivier Booklage
Worked on stabilizing Linux deployment and runtime reliability for the hacksider/Deep-Live-Cam repository by improving onnxruntime-gpu integration and environment management. Developed a CUDA library pre-loading mechanism using Python and system programming techniques, ensuring all necessary NVIDIA shared libraries are loaded before onnxruntime initializes its CUDA provider. Enhanced environment variable handling by implementing idempotent LD_LIBRARY_PATH management, which prevents duplicate path entries and reduces potential runtime errors across repeated imports. These backend improvements streamline cross-process library visibility, particularly for tools like ffmpeg, and lower support overhead for pip-installed CUDA setups, reflecting a focus on robust, maintainable deployment practices and Python scripting expertise.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
43
Activity Months1
Your Network
36 peopleWork History
May 2026
2 Commits • 1 Features
May 1, 2026May 2026 (2026-05) focused on stabilizing Linux deployment and runtime reliability for hacksider/Deep-Live-Cam by hardening onnxruntime-gpu integration and environment handling. Delivered a CUDA library pre-loading mechanism on Linux to ensure onnxruntime-gpu compatibility, and implemented idempotent LD_LIBRARY_PATH management to prevent path duplication across imports. These changes reduce runtime errors, improve cross-process library visibility (e.g., for ffmpeg), and lower support/debug effort for pip-installed CUDA setups.
2 Commits • 1 Features
May 1, 2026May 2026 (2026-05) focused on stabilizing Linux deployment and runtime reliability for hacksider/Deep-Live-Cam by hardening onnxruntime-gpu integration and environment handling. Delivered a CUDA library pre-loading mechanism on Linux to ensure onnxruntime-gpu compatibility, and implemented idempotent LD_LIBRARY_PATH management to prevent path duplication across imports. These changes reduce runtime errors, improve cross-process library visibility (e.g., for ffmpeg), and lower support/debug effort for pip-installed CUDA setups.
May 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
CUDAPythonPython scriptingbackend developmentenvironment variable managementsystem programming
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