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README.md

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+---
+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`