diff --git a/demo.py b/demo.py
index b16f052..c17f78a 100644
--- a/demo.py
+++ b/demo.py
@@ -6,6 +6,6 @@ import numpy as np
 model = YOLOv10('ckpts/20250630/best_gift_v10n.pt')
 
 # result = model.predict('./data/bandage.jpg', save=True, imgsz=[224, 224], conf=0.1)
-result = model.predict('/home/lc/data_center/gift/trace_subimgs/predict_actual_test/gift', save=True, imgsz=[224, 224], conf=0.1)
+result = model.predict('/home/lc/data_center/gift/trace_subimgs/predict_actual_test/test', save=True, imgsz=[224, 224], conf=0.1)
 print(result)
 # print(result[0].boxes.conf)
diff --git a/ultralytics/cfg/default.yaml b/ultralytics/cfg/default.yaml
index d8a2ecb..40b03a5 100644
--- a/ultralytics/cfg/default.yaml
+++ b/ultralytics/cfg/default.yaml
@@ -68,7 +68,7 @@ embed: # (list[int], optional) return feature vectors/embeddings from given laye
 # Visualize settings ---------------------------------------------------------------------------------------------------
 show: False # (bool) show predicted images and videos if environment allows
 save_frames: False # (bool) save predicted individual video frames
-save_txt: False # (bool) save results as .txt file
+save_txt: True # (bool) save results as .txt file
 save_conf: False # (bool) save results with confidence scores
 save_crop: False # (bool) save cropped images with results
 show_labels: True # (bool) show prediction labels, i.e. 'person'