diff --git a/demo/predict.py b/demo/predict.py
index 872d018f..df7743ed 100644
--- a/demo/predict.py
+++ b/demo/predict.py
@@ -37,6 +37,7 @@ def get_parser_infer(parents=None):
     parser.add_argument(
         "--single_cls", type=ast.literal_eval, default=False, help="train multi-class data as single-class"
     )
+    parser.add_argument("--exec_nms", type=ast.literal_eval, default=True, help="whether to execute NMS or not")
     parser.add_argument("--nms_time_limit", type=float, default=60.0, help="time limit for NMS")
     parser.add_argument("--conf_thres", type=float, default=0.25, help="object confidence threshold")
     parser.add_argument("--iou_thres", type=float, default=0.65, help="IOU threshold for NMS")
@@ -94,6 +95,7 @@ def detect(
     conf_thres: float = 0.25,
     iou_thres: float = 0.65,
     conf_free: bool = False,
+    exec_nms: bool = True,
     nms_time_limit: float = 60.0,
     img_size: int = 640,
     stride: int = 32,
@@ -129,14 +131,15 @@ def detect(
     # Run NMS
     t = time.time()
     out = out.asnumpy()
-    out = non_max_suppression(
-        out,
-        conf_thres=conf_thres,
-        iou_thres=iou_thres,
-        conf_free=conf_free,
-        multi_label=True,
-        time_limit=nms_time_limit,
-    )
+    if exec_nms:
+        out = non_max_suppression(
+            out,
+            conf_thres=conf_thres,
+            iou_thres=iou_thres,
+            conf_free=conf_free,
+            multi_label=True,
+            time_limit=nms_time_limit,
+        )
     nms_times = time.time() - t
 
     result_dict = {"category_id": [], "bbox": [], "score": []}
@@ -305,6 +308,7 @@ def infer(args):
             conf_thres=args.conf_thres,
             iou_thres=args.iou_thres,
             conf_free=args.conf_free,
+            exec_nms=args.exec_nms,
             nms_time_limit=args.nms_time_limit,
             img_size=args.img_size,
             stride=max(max(args.network.stride), 32),