runtime-test
CommunityRun code in GPU-enabled container
Authormartialarcon
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill allows you to execute Python code within a specialized Docker container that has access to GPU/CUDA capabilities, essential for performance-intensive tasks like computer vision and AI inference.
Core Features & Use Cases
- GPU/CUDA Execution: Run Python scripts that leverage NVIDIA GPUs for accelerated processing.
- Jetson Performance Metrics: Collect and report performance data such as GPU utilization and temperature.
- Use Case: Test a new object detection model using a Python script that processes video frames on the Jetson's GPU, then analyze the reported performance metrics to ensure efficiency.
Quick Start
Execute the Python script located at src/camera_capture.py within the runtime container.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: runtime-test Download link: https://github.com/martialarcon/claude-code-expert/archive/main.zip#runtime-test Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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