ppu-training-yolo
CommunityStreamlined YOLO training and deployment on PPU platform.
Authordongg622
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides comprehensive guidance for training and deploying YOLO object detection models specifically on PPU hardware, simplifying setup and execution processes.
Core Features & Use Cases
- Environment Setup: Guides users through installing necessary libraries and dependencies for YOLO training on PPU.
- Training & Validation: Offers step-by-step instructions for single and multi-GPU training scenarios.
- Model Export & Inference: Details exporting trained models to ONNX format and running real-time inference with sample scripts.
- Use Case: A developer wants to train a YOLO model on PPU hardware and deploy it for real-time object detection in a surveillance system.
Quick Start
Download the training data, install dependencies, and run the training command as described to begin training a YOLO model on PPU hardware.
Dependency Matrix
Required Modules
ultralyticsonnxonnxruntimeopencv-pythonnumpy
Components
scriptsreferences
💻 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: ppu-training-yolo Download link: https://github.com/dongg622/china-ai-chip-skill/archive/main.zip#ppu-training-yolo Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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