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When I run $ make anchors DATASET=voc ANCNUM=3 LOW="0.0 0.0" HIGH="1.0 1.0",
the PC shows:
python ./make_anchor_list.py
voc
--max_iters 10
--is_random True
--in_hw 224 320
--out_hw 7 10 14 20
--anchor_num 3
--low 0.0 0.0
--high 1.0 1.0
WARNING:tensorflow:From ./make_anchor_list.py:135: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.
WARNING:tensorflow:From ./make_anchor_list.py:161: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.
WARNING:tensorflow:From ./make_anchor_list.py:163: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.
D:\Users\L\miniconda3\envs\K210\lib\site-packages\numpy\core\fromnumeric.py:3118: RuntimeWarning: Mean of empty slice.
out=out, **kwargs)
D:\Users\L\miniconda3\envs\K210\lib\site-packages\numpy\core_methods.py:78: RuntimeWarning: invalid value encountered in true_divide
ret, rcount, out=ret, casting='unsafe', subok=False)
?[31m[ ERROR ]?[0m Result have NaN value please Rerun!
The text was updated successfully, but these errors were encountered:
When I run $ make anchors DATASET=voc ANCNUM=3 LOW="0.0 0.0" HIGH="1.0 1.0",
the PC shows:
python ./make_anchor_list.py
voc
--max_iters 10
--is_random True
--in_hw 224 320
--out_hw 7 10 14 20
--anchor_num 3
--low 0.0 0.0
--high 1.0 1.0
WARNING:tensorflow:From ./make_anchor_list.py:135: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.
WARNING:tensorflow:From ./make_anchor_list.py:161: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.
WARNING:tensorflow:From ./make_anchor_list.py:163: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.
D:\Users\L\miniconda3\envs\K210\lib\site-packages\numpy\core\fromnumeric.py:3118: RuntimeWarning: Mean of empty slice.
out=out, **kwargs)
D:\Users\L\miniconda3\envs\K210\lib\site-packages\numpy\core_methods.py:78: RuntimeWarning: invalid value encountered in true_divide
ret, rcount, out=ret, casting='unsafe', subok=False)
?[31m[ ERROR ]?[0m Result have NaN value please Rerun!
The text was updated successfully, but these errors were encountered: