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...
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...
loss_dfl = loss_dfl.sum() / target_scores_sumelse:# 如果没有 DFL loss,则设为 0loss_dfl = torch.tensor(0.0).to(pred_dist.device)returnloss_iou, loss_dfl# 继承自 BboxLoss 类,用于处理旋转边界框损失classRotatedBboxLoss(BboxLoss):"""Criterion class for computing training losses during ...
pbox = torch.cat((pxy, pwh), 1) # predicted box iou = bbox_iou(pbox, tbox[i], CIoU=True).squeeze() # iou(prediction, target) lbox += (1.0 - iou).mean() # iou loss # Objectness iou = iou.detach().clamp(0).type(tobj.dtype) if self.sort_obj_iou: j = iou.argsort()...
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 ...
The computation of the class and box loss in YOLOv8 follows the same algorithm as in the previously released versions. However, exact details of these formulas are not provided in the documentation to avoid intellectual property theft. You can find an overview of how both of these terms get ...
Search before asking I have searched the YOLOv8 issues and discussions and found no similar questions. Question all loss is NAN and P/R/map is 0 when the user-defined data set GPU is trained! CUDA Change from 11.7 to 11.6 still can't tra...
摘要:本文深入研究了基于YOLOv8/v7/v6/v5的个人防具检测系统,核心采用YOLOv8并整合了YOLOv7、YOLOv6、YOLOv5算法,进行性能指标对比;详述了国内外研究现状、数据集处理、算法原理、模型构建与训练代码,及基于Streamlit的交互式Web应用界面设计。在Web网页中可以支持图像、视频和实时摄像头进行个人防具检测,可上传不同训练...
anchors:9个anchor box; num_classes:类别数; freeze_body:网络冻结模式,1是冻结DarkNet53模型,2是全部冻结保留最后3层; weights_path:预训练模型的权重 model = create_model(input_shape, anchors, num_classes, freeze_body=2, weights_path=pretrained_path) ...
Search before asking I have searched the YOLOv8 issues and found no similar bug report. YOLOv8 Component Training Bug While Training the model in v8 with GPU all the losses becomes nan and all the evaluation metrics becomes zero. Under A...