diff --git a/detect.py b/detect.py
index 475a2321..b112bba7 100644
--- a/detect.py
+++ b/detect.py
@@ -1,5 +1,4 @@
 import argparse
-import time
 from sys import platform
 
 from models import *  # set ONNX_EXPORT in models.py
diff --git a/train.py b/train.py
index 37e4ab13..24165fd9 100644
--- a/train.py
+++ b/train.py
@@ -430,7 +430,7 @@ if __name__ == '__main__':
 
                 # Mutate
                 init_seeds(seed=int(time.time()))
-                s = [.15, .15, .15, .15, .15, .15, .15, .00, .02, .20, .15, .0, .0, .0, .0, .0, .0]  # sigmas
+                s = [.15, .15, .15, .15, .15, .15, .15, .00, .02, .20, .20, .20, .20, .20, .20, .20, .20]  # sigmas
                 for i, k in enumerate(hyp.keys()):
                     x = (np.random.randn(1) * s[i] + 1) ** 2.0  # plt.hist(x.ravel(), 300)
                     hyp[k] *= float(x)  # vary by sigmas
diff --git a/utils/utils.py b/utils/utils.py
index 0202b8f5..4987fedb 100755
--- a/utils/utils.py
+++ b/utils/utils.py
@@ -88,6 +88,9 @@ def coco_class_weights():  # frequency of each class in coco train2014
          1877, 17630, 4337, 4624, 1075, 3468, 135, 1380]
     weights = 1 / torch.Tensor(n)
     weights /= weights.sum()
+    # with open('data/coco.names', 'r') as f:
+    #     for k, v in zip(f.read().splitlines(), n):
+    #         print('%20s: %g' % (k, v))
     return weights