README.md

---
tags:
  - anomaly-detection
  - 3d-printing
  - patchcore
  - onnx
---
# 3D Print Failure Detector — PatchCore

Anomaly detection model for detecting 3D print failures (spaghetti, detachment, etc.).
Trained **only on normal prints** using PatchCore with `resnet18` backbone.

## Metrics
```
{
  "image_AUROC": 0.8632,
  "image_F1Score": 0.9248
}
```

## Threshold
Auto-computed threshold: `17.3327`  
Frames with anomaly score > threshold are classified as **failure**.

## Dataset
- Train: 1491 normal frames from YouTube printer timelapse videos
- Test: 373 normal + 850 failure frames

## Inference
ONNX model: `weights/onnx/model.onnx`  
Threshold config: `weights/onnx/config.json`