@@ -68,6 +68,6 @@ class PaddleTableClsModel:
idx = np.argmax(result)
conf = float(np.max(result))
# logger.debug(f"Table classification result: {self.labels[idx]} with confidence {conf:.4f}")
- if idx == 0 and conf < 0.8:
+ if idx == 0 and conf < 0.9:
idx = 1
return self.labels[idx]