pin anomalib version to v2.0.0

pyproject.toml

@@ -5,7 +5,7 @@ description = "anomaly detection for sensor images for quality assurance process
 authors = [
     {name = "d-opt GmbH (resp.: Florian Foerster)", email = "f.foerster@d-opt.com"},
 ]
-dependencies = ["imutils>=0.5.4", "dopt-basics>=0.2.4", "numpy>=2.2.6", "anomalib[vlm_clip]>=2.1.0", "open-clip-torch>=3.2.0"]
+dependencies = ["imutils>=0.5.4", "dopt-basics>=0.2.4", "numpy>=2.2.6", "open-clip-torch>=3.2.0", "anomalib==2.0.0"]
 requires-python = "<3.14,>=3.11"
 readme = "README.md"
 license = {text = "LicenseRef-Proprietary"}

src/dopt_sensor_anomalies/detection.py

@@ -176,6 +176,7 @@ def infer_image(
         output = model(input_tensor)
 
     anomaly_score = output.pred_score.item()
+    print(f">>> Anomaly score: {anomaly_score}")
     anomaly_label = bool(1 if anomaly_score >= 0.2 else 0)
     anomaly_map = output.anomaly_map.squeeze().cpu().numpy()