metadata
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