diff --git a/detect.py b/detect.py
index bf8d2e4d..7be56115 100644
--- a/detect.py
+++ b/detect.py
@@ -88,7 +88,8 @@ def detect(save_img=False):
         t2 = torch_utils.time_synchronized()
 
         # Apply NMS
-        pred = non_max_suppression(pred, opt.conf_thres, opt.iou_thres, classes=opt.classes, agnostic=opt.agnostic_nms)
+        pred = non_max_suppression(pred, opt.conf_thres, opt.iou_thres,
+                                   multi_label=False, classes=opt.classes, agnostic=opt.agnostic_nms)
 
         # Apply Classifier
         if classify:
diff --git a/utils/utils.py b/utils/utils.py
index e5a4c526..c5da3a27 100755
--- a/utils/utils.py
+++ b/utils/utils.py
@@ -828,7 +828,7 @@ def fitness(x):
 # Plotting functions ---------------------------------------------------------------------------------------------------
 def plot_one_box(x, img, color=None, label=None, line_thickness=None):
     # Plots one bounding box on image img
-    tl = line_thickness or round(0.002 * (img.shape[0] + img.shape[1]) / 2) + 1  # line thickness
+    tl = line_thickness or max(round(0.002 * (img.shape[0] + img.shape[1]) / 2), 1)  # line thickness
     color = color or [random.randint(0, 255) for _ in range(3)]
     c1, c2 = (int(x[0]), int(x[1])), (int(x[2]), int(x[3]))
     cv2.rectangle(img, c1, c2, color, thickness=tl)