update

template_matcher.py

@@ -187,9 +187,9 @@ def _crnn_read_batch_with_confidence(crops: list) -> list:
                 # Mean confidence over character-bearing frames
                 conf = float(max_probs[:, n][non_blank_mask].mean().item())
             else:
-                # All blanks → empty / unreadable field; use overall mean as
-                # a soft indicator (will typically be low ~0.3–0.5)
-                conf = float(max_probs[:, n].mean().item())
+                # All blanks → field is empty; correctly extracting nothing
+                # is 100% accurate, so return 1.0 instead of a low soft indicator.
+                conf = 1.0
 
             results.append((text, round(conf, 4)))