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2025-07-17 00:03:03 +01:00
**1. Algorithm Choice**
- **Selected:** YOLOv8n (lightweight version)
- **Why:**
- Fast detection (0.5s/image on CPU)
- Works well with small datasets (40 images)
- Accurate for motherboard components
**2. Hardware Impact**
- **Training:**
- GPU recommended (4x faster training)
- CPU works but slower
- **Deployment:**
- CPU sufficient for basic use
- GPU better for high volume
**3. Video Handling**
- **Approach:** Process each frame individually
- **Changes Needed:**
- Add frame-by-frame processing
- Include tracking to follow memory modules
- Optimize for speed (lower resolution helps)
**Key Facts:**
- Same model works for images/video
- CPU processing is practical
- No architecture changes needed between image/video modes.