add anomaly threshold as constant

src/dopt_sensor_anomalies/constants.py

@@ -9,6 +9,7 @@ THRESHOLD_BW: Final[int] = 63
 BACKBONE: Final[str] = "'wide_resnet50_2"
 LAYERS: Final[tuple[str, str]] = ("layer1", "layer2", "layer3")
 RATIO: Final[float] = 0.01
+ANOMALY_THRESHOLD: Final[float] = 0.2
 
 NUM_VALID_ELECTRODES: Final[int] = 6
 HEATMAP_FILENAME_SUFFIX: Final[str] = "_Heatmap"

src/dopt_sensor_anomalies/detection.py

@@ -176,7 +176,7 @@ def infer_image(
         output = model(input_tensor)
 
     anomaly_score = output.pred_score.item()
-    anomaly_label = bool(1 if anomaly_score >= 0.2 else 0)
+    anomaly_label = bool(1 if anomaly_score >= const.ANOMALY_THRESHOLD else 0)
     anomaly_map = output.anomaly_map.squeeze().cpu().numpy()
 
     img_np = np.array(pil_image)