Comments (2)
wangzhaolei
commented on May 12, 2024
my loss is all nan too :( ,who can tell me why?Thanks.
[Epoch 0/30, Batch 323/1313] [Losses: x nan, y nan, w nan, h nan, conf 0.755184, cls nan, total nan]
[Epoch 0/30, Batch 324/1313] [Losses: x nan, y nan, w nan, h nan, conf 0.760500, cls nan, total nan]
[Epoch 0/30, Batch 325/1313] [Losses: x nan, y nan, w nan, h nan, conf 0.755139, cls nan, total nan]
[Epoch 0/30, Batch 326/1313] [Losses: x nan, y nan, w nan, h nan, conf 0.757809, cls nan, total nan]
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eriklindernoren
commented on May 12, 2024
Hi, this problem is fixed in 6727086.
from pytorch-yolov3.
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