1、训练的时候出现box_loss、cls_loss、dfl_loss都为nan的情况,需要将训练的时候的参数进行修改,设置amp=False 2、修改之后训练的时候出现P、R、map值为NAN或者非常小,一般来说基于预训练模型来进行训练P、R、map的值都不会很低,如果出现0.0x这种一般是有点问题,这种情况可以尝试以下操作,需要到ultralytics/cfg...
loss[1] += (proto * 0).sum() + (pred_masks * 0).sum() # inf sums may lead to nan loss loss[0] *= self.hyp.box # box gain loss[1] *= self.hyp.box # seg gain loss[2] *= self.hyp.cls # cls gain loss[3] *= self.hyp.dfl # dfl gain ...
这个问题就消失了。在ultralytics 8.0.26的环境中一切正常,然后我在8.0.30左右的环境中发现了NaN...
Box_loss and other metrics are not zero, but mAP = 0 even after many epochs. Everything works fine when using the CPU instead. Thanks I also have been running into the same problem. Although setting amp=False started showing loss data, all other metrics (R, etc.) are zero. Tried usin...
It seems like you're attempting to replace the Binary Cross Entropy with Logits (BCEWithLogitsLoss) with Focal Loss. Based on the information you provided, your implementation appears to be correct. Regarding the classification loss value you're seeing (5.555e-05): This is not necessarily an ...
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and I am getting Nan for all losses Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 1/15 1.74G nan nan nan 51 640: 4% I have tried training a model on cpu and it worked fine. the problem appeared when I installed cuda and started training on it. I expected that there ...
(left_loss + right_loss).mean(-1, keepdim=True)# 定义了一个用于计算边界框损失的模块classBboxLoss(nn.Module):"""Criterion class for computing training losses during training."""def__init__(self, reg_max=16):"""Initialize the BboxLoss module with regularization maximum and DFL settings....
Note: If during training you seenanvalues for avg (loss) field - then training goes wrong, but if nan is in some other lines - then training goes well. 6.程序中断之后继续训练 ./darknet detector train cfg/voc.data cfg/yolov3-voc.cfg backup/yolov3-voc.backup ...
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 44/44 [00:05<00:00, 8.08it/s] all 1391 26278 0.0118 0.00202 0.00747 0.00278 ... Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 4/100 1.54G nan nan nan 165 256: 100%|█████████...