First off, the acronym DFL in YOLOv8 actually stands for Distribution Focal Loss rather than Directional Feature Learning. This may have been a source of confusion and I apologize for any misunderstanding. Distribution Focal Loss (DFL) is indeed utilized in YOLOv8. It is a modified version of...
In YOLOv8, Binary Cross Entropy (BCE) is used for the classification loss, which does not incorporate the same focus on class imbalance as Focal Losses do. While other loss functions, such as VarifocalLoss, have been explored, they have not been implemented in YOLOv8's default configuration ...
在yolov8中,类别损失最终采用的是交叉熵损失,该方法是我们非常熟知的,不再赘述。 代码如下: self.bce = nn.BCEWithLogitsLoss(reduction='none') loss[1] = self.bce(pred_scores,target_scores).sum()/target_scores_sum 其中预测pred_scores: b x 8400 x cls_num; target_scores: b x 8400 x cls_n...
dataset=dict(type='YOLOv5CocoDataset', data_root='/home/huangguangxu/yolo/data/pcb.v1i.coco', ann_file='/home/huangguangxu/yolo/data/pcb.v1i.coco/annotations/instances_val2017.json', data_prefix=dict(img='/home/huangguangxu/yolo/data/pcb.v1i.coco/valid2017/'), filter_cfg=dict(filte...
yolo_world_l_dual_vlpan_2e-4_80e_8gpus_finetune_coco.py文件,我需要微调 base = ( '../../third_party/mmyolo/configs/yolov8/yolov8_l_syncbn_fast_8xb16-500e_coco.py') custom_imports = dict( imports=['yolo_world'], allow_failed_imports=False) hyper-...
arrow_drop_up3 Copy & Edit61 more_vert DFL Video YOLOv8 Object Detection Copied from stpete_ishii (+53,-210)NotebookInputOutputLogsComments (0)Output Data An error occurred: Unexpected end of JSON input Download notebook output navigate_nextminimize content_copyhelp...